diff --git "a/scannet/semseg-spunet-efficient-la50/train.log" "b/scannet/semseg-spunet-efficient-la50/train.log" new file mode 100644--- /dev/null +++ "b/scannet/semseg-spunet-efficient-la50/train.log" @@ -0,0 +1,22306 @@ +[2025-03-25 04:31:26,304 INFO train.py line 128 195048] => Loading config ... +[2025-03-25 04:31:26,304 INFO train.py line 130 195048] Save path: exp/scannet/semseg-spunet-efficient-la50 +[2025-03-25 04:31:26,848 INFO train.py line 131 195048] Config: +weight = 'exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth' +resume = False +evaluate = True +test_only = False +seed = 18892309 +save_path = 'exp/scannet/semseg-spunet-efficient-la50' +num_worker = 48 +batch_size = 24 +batch_size_val = None +batch_size_test = None +epoch = 800 +eval_epoch = 100 +clip_grad = None +sync_bn = False +enable_amp = True +empty_cache = False +empty_cache_per_epoch = False +find_unused_parameters = False +mix_prob = 0.8 +param_dicts = None +hooks = [ + dict(type='CheckpointLoader'), + dict(type='IterationTimer', warmup_iter=2), + dict(type='CustomInformationWriter', interval=50, key='loss'), + dict(type='CustomSemSegEvaluator'), + dict(type='CheckpointSaver', save_freq=None), + dict(type='PreciseEvaluator', test_last=False) +] +train = dict(type='DefaultTrainer') +test = dict(type='SemSegTester', verbose=True) +evaluate_interval = [(1, 1), (90, 1)] +model = dict( + type='DefaultSegmentor', + backbone=dict( + type='SpUNet-v1m1', + in_channels=6, + num_classes=20, + channels=(32, 64, 128, 256, 256, 128, 96, 96), + layers=(2, 3, 4, 6, 2, 2, 2, 2)), + criteria=[ + dict(type='CrossEntropyLoss', loss_weight=1.0, ignore_index=-1), + dict( + type='LovaszLoss', + mode='multiclass', + loss_weight=1.0, + ignore_index=-1) + ]) +optimizer = dict(type='AdamW', lr=0.003, weight_decay=0.05) +scheduler = dict( + type='OneCycleLR', + max_lr=0.003, + pct_start=0.05, + anneal_strategy='cos', + div_factor=10.0, + final_div_factor=1000.0) +dataset_type = 'ScanNetDataset' +data_root = 'data/scannet' +data = dict( + num_classes=20, + ignore_index=-1, + names=[ + 'wall', 'floor', 'cabinet', 'bed', 'chair', 'sofa', 'table', 'door', + 'window', 'bookshelf', 'picture', 'counter', 'desk', 'curtain', + 'refridgerator', 'shower curtain', 'toilet', 'sink', 'bathtub', + 'otherfurniture' + ], + train=dict( + type='ScanNetDataset', + split='train', + data_root='data/scannet', + la_file='data/scannet/tasks/points/points50', + ignore_index=-1, + transform=[ + dict(type='ToTensor'), + dict(type='CenterShift', apply_z=True), + dict( + type='RandomDropout', + dropout_ratio=0.2, + dropout_application_ratio=0.2), + dict( + type='RandomRotate', + angle=[-1, 1], + axis='z', + center=[0, 0, 0], + p=0.5), + dict( + type='RandomRotate', + angle=[-0.015625, 0.015625], + axis='x', + p=0.5), + dict( + type='RandomRotate', + angle=[-0.015625, 0.015625], + axis='y', + p=0.5), + dict(type='RandomScale', scale=[0.9, 1.1]), + dict(type='RandomFlip', p=0.5), + dict(type='RandomJitter', sigma=0.005, clip=0.02), + dict( + type='ElasticDistortion', + distortion_params=[[0.2, 0.4], [0.8, 1.6]]), + dict(type='ChromaticAutoContrast', p=0.2, blend_factor=None), + dict(type='ChromaticTranslation', p=0.95, ratio=0.05), + dict(type='ChromaticJitter', p=0.95, std=0.05), + dict( + type='GridSample', + grid_size=0.02, + hash_type='fnv', + mode='train', + return_grid_coord=True), + dict(type='SphereCrop', point_max=102400, mode='random'), + dict(type='CenterShift', apply_z=False), + dict(type='NormalizeColor'), + dict(type='ShufflePoint'), + dict( + type='Collect', + keys=('coord', 'grid_coord', 'segment'), + feat_keys=('color', 'normal')) + ], + test_mode=False, + loop=8), + val=dict( + type='ScanNetDataset', + split='val', + data_root='data/scannet', + transform=[ + dict(type='ToTensor'), + dict(type='CenterShift', apply_z=True), + dict( + type='GridSample', + grid_size=0.02, + hash_type='fnv', + mode='train', + return_grid_coord=True), + dict(type='CenterShift', apply_z=False), + dict(type='NormalizeColor'), + dict( + type='Collect', + keys=('coord', 'grid_coord', 'segment'), + feat_keys=('color', 'normal')) + ], + test_mode=False), + test=dict( + type='ScanNetDataset', + split='val', + data_root='data/scannet', + transform=[ + dict(type='ToTensor'), + dict(type='CenterShift', apply_z=True), + dict(type='NormalizeColor') + ], + test_mode=True, + test_cfg=dict( + voxelize=dict( + type='GridSample', + grid_size=0.02, + hash_type='fnv', + mode='test', + return_grid_coord=True, + keys=('coord', 'color', 'normal')), + crop=None, + post_transform=[ + dict(type='CenterShift', apply_z=False), + dict( + type='Collect', + keys=('coord', 'grid_coord', 'index'), + feat_keys=('color', 'normal')) + ], + aug_transform=[[{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [0.95, 0.95] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [0.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], + [{ + 'type': 'RandomRotateTargetAngle', + 'angle': [1.5], + 'axis': 'z', + 'center': [0, 0, 0], + 'p': 1 + }, { + 'type': 'RandomScale', + 'scale': [1.05, 1.05] + }], [{ + 'type': 'RandomFlip', + 'p': 1 + }]]))) +num_worker_per_gpu = 12 +batch_size_per_gpu = 6 +batch_size_val_per_gpu = 1 +batch_size_test_per_gpu = 1 + +[2025-03-25 04:31:26,849 INFO train.py line 132 195048] => Building model ... +[2025-03-25 04:31:27,370 INFO train.py line 225 195048] Num params: 39157844 +[2025-03-25 04:31:27,560 INFO train.py line 134 195048] => Building writer ... +[2025-03-25 04:31:27,562 INFO train.py line 235 195048] Tensorboard writer logging dir: exp/scannet/semseg-spunet-efficient-la50 +[2025-03-25 04:31:27,562 INFO train.py line 136 195048] => Building train dataset & dataloader ... +[2025-03-25 04:31:27,652 INFO defaults.py line 68 195048] Totally 1201 x 8 samples in train set. +[2025-03-25 04:31:27,653 INFO train.py line 138 195048] => Building val dataset & dataloader ... +[2025-03-25 04:31:27,653 INFO defaults.py line 68 195048] Totally 312 x 1 samples in val set. +[2025-03-25 04:31:27,653 INFO train.py line 140 195048] => Building optimize, scheduler, scaler(amp) ... +[2025-03-25 04:31:27,654 INFO train.py line 144 195048] => Building hooks ... +[2025-03-25 04:31:27,654 INFO misc.py line 214 195048] => Loading checkpoint & weight ... +[2025-03-25 04:31:27,654 INFO misc.py line 216 195048] Loading weight at: exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth +[2025-03-25 04:31:28,072 INFO misc.py line 221 195048] Loading layer weights with keyword: , replace keyword with: +[2025-03-25 04:31:28,077 INFO misc.py line 238 195048] Missing keys: ['module.backbone.final.weight', 'module.backbone.final.bias'] +[2025-03-25 04:31:28,078 INFO train.py line 151 195048] >>>>>>>>>>>>>>>> Start Training >>>>>>>>>>>>>>>> +[2025-03-25 04:32:57,257 INFO hook.py line 566 195048] Train: [1/100][50/400] Data 0.003 (0.003) Batch 0.202 (0.194) Remain 02:09:25 loss: 3.6590 Lr: 3.04166e-04 +[2025-03-25 04:33:07,099 INFO hook.py line 566 195048] Train: [1/100][100/400] Data 0.002 (0.003) Batch 0.196 (0.196) Remain 02:10:06 loss: 3.2987 Lr: 3.16637e-04 +[2025-03-25 04:33:17,022 INFO hook.py line 566 195048] Train: [1/100][150/400] Data 0.004 (0.003) Batch 0.201 (0.197) Remain 02:10:34 loss: 2.4331 Lr: 3.37338e-04 +[2025-03-25 04:33:26,735 INFO hook.py line 566 195048] Train: [1/100][200/400] Data 0.002 (0.003) Batch 0.227 (0.196) Remain 02:10:01 loss: 2.4728 Lr: 3.66139e-04 +[2025-03-25 04:33:36,489 INFO hook.py line 566 195048] Train: [1/100][250/400] Data 0.003 (0.003) Batch 0.196 (0.196) Remain 02:09:43 loss: 2.2647 Lr: 4.02864e-04 +[2025-03-25 04:33:46,448 INFO hook.py line 566 195048] Train: [1/100][300/400] Data 0.003 (0.003) Batch 0.192 (0.196) Remain 02:09:56 loss: 2.4219 Lr: 4.47286e-04 +[2025-03-25 04:33:56,153 INFO hook.py line 566 195048] Train: [1/100][350/400] Data 0.004 (0.003) Batch 0.197 (0.196) Remain 02:09:33 loss: 2.1216 Lr: 4.99130e-04 +[2025-03-25 04:34:04,926 INFO hook.py line 566 195048] Train: [1/100][400/400] Data 0.001 (0.003) Batch 0.152 (0.193) Remain 02:07:41 loss: 1.7318 Lr: 5.58077e-04 +[2025-03-25 04:34:04,926 INFO misc.py line 135 195048] Train result: loss: 2.6378 +[2025-03-25 04:34:05,000 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:34:15,376 INFO hook.py line 748 195048] Test: [1/78] Loss 1.9463 +[2025-03-25 04:34:15,661 INFO hook.py line 748 195048] Test: [2/78] Loss 1.3451 +[2025-03-25 04:34:15,703 INFO hook.py line 748 195048] Test: [3/78] Loss 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Loss 2.0970 +[2025-03-25 04:34:18,251 INFO hook.py line 748 195048] Test: [65/78] Loss 2.3351 +[2025-03-25 04:34:18,288 INFO hook.py line 748 195048] Test: [66/78] Loss 1.5464 +[2025-03-25 04:34:18,322 INFO hook.py line 748 195048] Test: [67/78] Loss 1.6578 +[2025-03-25 04:34:18,351 INFO hook.py line 748 195048] Test: [68/78] Loss 1.3373 +[2025-03-25 04:34:18,377 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4371 +[2025-03-25 04:34:18,429 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5340 +[2025-03-25 04:34:18,467 INFO hook.py line 748 195048] Test: [71/78] Loss 2.0124 +[2025-03-25 04:34:18,512 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7490 +[2025-03-25 04:34:18,556 INFO hook.py line 748 195048] Test: [73/78] Loss 1.1108 +[2025-03-25 04:34:18,593 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3238 +[2025-03-25 04:34:18,638 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6141 +[2025-03-25 04:34:18,664 INFO hook.py line 748 195048] Test: [76/78] Loss 1.2012 +[2025-03-25 04:34:18,713 INFO hook.py line 748 195048] Test: [77/78] Loss 0.9297 +[2025-03-25 04:34:18,736 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5958 +[2025-03-25 04:34:19,731 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:34:19,732 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:34:19,732 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:34:19,732 INFO hook.py line 689 195048] wall : 0.7198 0.9042 +[2025-03-25 04:34:19,732 INFO hook.py line 689 195048] floor : 0.9254 0.9860 +[2025-03-25 04:34:19,732 INFO hook.py line 689 195048] cabinet : 0.1840 0.2964 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] bed : 0.0094 0.0119 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] chair : 0.8446 0.9244 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] sofa : 0.0000 0.0000 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] table : 0.3412 0.8380 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] door : 0.3271 0.7763 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] window : 0.0000 0.0000 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] bookshelf : 0.0000 0.0000 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] picture : 0.0000 0.0000 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] counter : 0.0000 0.0000 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] desk : 0.0000 0.0000 +[2025-03-25 04:34:19,733 INFO hook.py line 689 195048] curtain : 0.0000 0.0000 +[2025-03-25 04:34:19,734 INFO hook.py line 689 195048] refridgerator : 0.0000 0.0000 +[2025-03-25 04:34:19,734 INFO hook.py line 689 195048] shower curtain : 0.0000 0.0000 +[2025-03-25 04:34:19,734 INFO hook.py line 689 195048] toilet : 0.0000 0.0000 +[2025-03-25 04:34:19,734 INFO hook.py line 689 195048] sink : 0.0000 0.0000 +[2025-03-25 04:34:19,734 INFO hook.py line 689 195048] bathtub : 0.0000 0.0000 +[2025-03-25 04:34:19,734 INFO hook.py line 689 195048] otherfurniture : 0.2262 0.3885 +[2025-03-25 04:34:19,734 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:34:19,734 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.1789/0.2563/0.7156. +[2025-03-25 04:34:19,735 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:34:19,749 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.1789 +[2025-03-25 04:34:19,749 INFO misc.py line 164 195048] Currently Best mIoU: 0.1789 +[2025-03-25 04:34:19,749 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:34:33,124 INFO hook.py line 566 195048] Train: [2/100][50/400] Data 0.004 (0.003) Batch 0.195 (0.196) Remain 02:09:08 loss: 1.5712 Lr: 6.23762e-04 +[2025-03-25 04:34:43,368 INFO hook.py line 566 195048] Train: [2/100][100/400] Data 0.002 (0.003) Batch 0.183 (0.201) Remain 02:12:01 loss: 1.8411 Lr: 6.95781e-04 +[2025-03-25 04:34:53,563 INFO hook.py line 566 195048] Train: [2/100][150/400] Data 0.002 (0.003) Batch 0.198 (0.202) Remain 02:12:36 loss: 1.2007 Lr: 7.73689e-04 +[2025-03-25 04:35:03,515 INFO hook.py line 566 195048] Train: [2/100][200/400] Data 0.004 (0.003) Batch 0.199 (0.201) Remain 02:11:59 loss: 1.2836 Lr: 8.57005e-04 +[2025-03-25 04:35:13,448 INFO hook.py line 566 195048] Train: [2/100][250/400] Data 0.003 (0.003) Batch 0.195 (0.201) Remain 02:11:30 loss: 1.8761 Lr: 9.45215e-04 +[2025-03-25 04:35:23,234 INFO hook.py line 566 195048] Train: [2/100][300/400] Data 0.004 (0.003) Batch 0.202 (0.200) Remain 02:10:49 loss: 0.8492 Lr: 1.03777e-03 +[2025-03-25 04:35:33,265 INFO hook.py line 566 195048] Train: [2/100][350/400] Data 0.002 (0.003) Batch 0.201 (0.200) Remain 02:10:44 loss: 1.8111 Lr: 1.13411e-03 +[2025-03-25 04:35:42,223 INFO hook.py line 566 195048] Train: [2/100][400/400] Data 0.001 (0.003) Batch 0.157 (0.197) Remain 02:08:52 loss: 1.0254 Lr: 1.23363e-03 +[2025-03-25 04:35:42,224 INFO misc.py line 135 195048] Train result: loss: 1.4850 +[2025-03-25 04:35:42,317 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:35:52,785 INFO hook.py line 748 195048] Test: [1/78] Loss 0.7853 +[2025-03-25 04:35:52,833 INFO hook.py line 748 195048] Test: [2/78] Loss 1.0662 +[2025-03-25 04:35:52,871 INFO hook.py line 748 195048] Test: [3/78] Loss 0.6606 +[2025-03-25 04:35:53,034 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4333 +[2025-03-25 04:35:53,128 INFO hook.py line 748 195048] Test: [5/78] Loss 0.8398 +[2025-03-25 04:35:53,187 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8902 +[2025-03-25 04:35:53,235 INFO hook.py line 748 195048] Test: [7/78] Loss 0.9007 +[2025-03-25 04:35:53,699 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4886 +[2025-03-25 04:35:53,760 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1185 +[2025-03-25 04:35:53,796 INFO hook.py line 748 195048] Test: [10/78] Loss 1.2941 +[2025-03-25 04:35:53,843 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7168 +[2025-03-25 04:35:53,874 INFO hook.py line 748 195048] Test: [12/78] Loss 0.7003 +[2025-03-25 04:35:53,917 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4335 +[2025-03-25 04:35:53,952 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7343 +[2025-03-25 04:35:53,985 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9977 +[2025-03-25 04:35:54,027 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2228 +[2025-03-25 04:35:54,062 INFO hook.py line 748 195048] Test: [17/78] Loss 1.3154 +[2025-03-25 04:35:54,104 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9545 +[2025-03-25 04:35:54,145 INFO hook.py line 748 195048] Test: [19/78] Loss 1.3825 +[2025-03-25 04:35:54,177 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0502 +[2025-03-25 04:35:54,214 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3424 +[2025-03-25 04:35:54,250 INFO hook.py line 748 195048] Test: [22/78] Loss 1.9057 +[2025-03-25 04:35:54,278 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0222 +[2025-03-25 04:35:54,319 INFO hook.py line 748 195048] Test: [24/78] Loss 1.2182 +[2025-03-25 04:35:54,357 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0572 +[2025-03-25 04:35:54,393 INFO hook.py line 748 195048] Test: [26/78] Loss 1.4247 +[2025-03-25 04:35:54,439 INFO hook.py line 748 195048] Test: [27/78] Loss 1.8765 +[2025-03-25 04:35:54,468 INFO hook.py line 748 195048] Test: [28/78] Loss 0.6376 +[2025-03-25 04:35:54,494 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3103 +[2025-03-25 04:35:54,543 INFO hook.py line 748 195048] Test: [30/78] Loss 1.0390 +[2025-03-25 04:35:54,599 INFO hook.py line 748 195048] Test: [31/78] Loss 0.7920 +[2025-03-25 04:35:54,639 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7625 +[2025-03-25 04:35:54,686 INFO hook.py line 748 195048] Test: [33/78] Loss 0.7931 +[2025-03-25 04:35:54,722 INFO hook.py line 748 195048] Test: [34/78] Loss 0.8637 +[2025-03-25 04:35:54,757 INFO hook.py line 748 195048] Test: [35/78] Loss 0.8992 +[2025-03-25 04:35:54,787 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1223 +[2025-03-25 04:35:54,824 INFO hook.py line 748 195048] Test: [37/78] Loss 0.8439 +[2025-03-25 04:35:54,853 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4045 +[2025-03-25 04:35:54,907 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3061 +[2025-03-25 04:35:54,950 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5989 +[2025-03-25 04:35:54,988 INFO hook.py line 748 195048] Test: [41/78] Loss 1.4328 +[2025-03-25 04:35:55,010 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2042 +[2025-03-25 04:35:55,039 INFO hook.py line 748 195048] Test: [43/78] Loss 0.7090 +[2025-03-25 04:35:55,099 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7291 +[2025-03-25 04:35:55,127 INFO hook.py line 748 195048] Test: [45/78] Loss 0.9249 +[2025-03-25 04:35:55,167 INFO hook.py line 748 195048] Test: [46/78] Loss 1.0009 +[2025-03-25 04:35:55,203 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7780 +[2025-03-25 04:35:55,234 INFO hook.py line 748 195048] Test: [48/78] Loss 0.9961 +[2025-03-25 04:35:55,267 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5904 +[2025-03-25 04:35:55,298 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0865 +[2025-03-25 04:35:55,324 INFO hook.py line 748 195048] Test: [51/78] Loss 1.4303 +[2025-03-25 04:35:55,361 INFO hook.py line 748 195048] Test: [52/78] Loss 1.3449 +[2025-03-25 04:35:55,385 INFO hook.py line 748 195048] Test: [53/78] Loss 0.8438 +[2025-03-25 04:35:55,418 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2857 +[2025-03-25 04:35:55,451 INFO hook.py line 748 195048] Test: [55/78] Loss 0.3666 +[2025-03-25 04:35:55,487 INFO hook.py line 748 195048] Test: [56/78] Loss 0.9260 +[2025-03-25 04:35:55,515 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0106 +[2025-03-25 04:35:55,537 INFO hook.py line 748 195048] Test: [58/78] Loss 1.1037 +[2025-03-25 04:35:55,573 INFO hook.py line 748 195048] Test: [59/78] Loss 1.1408 +[2025-03-25 04:35:55,601 INFO hook.py line 748 195048] Test: [60/78] Loss 1.2925 +[2025-03-25 04:35:55,621 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7911 +[2025-03-25 04:35:55,649 INFO hook.py line 748 195048] Test: [62/78] Loss 1.3233 +[2025-03-25 04:35:55,681 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2188 +[2025-03-25 04:35:55,732 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7078 +[2025-03-25 04:35:55,755 INFO hook.py line 748 195048] Test: [65/78] Loss 1.6414 +[2025-03-25 04:35:55,792 INFO hook.py line 748 195048] Test: [66/78] Loss 1.1675 +[2025-03-25 04:35:55,826 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5449 +[2025-03-25 04:35:55,854 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9968 +[2025-03-25 04:35:55,880 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3593 +[2025-03-25 04:35:55,932 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2799 +[2025-03-25 04:35:55,970 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2181 +[2025-03-25 04:35:56,015 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5695 +[2025-03-25 04:35:56,058 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8514 +[2025-03-25 04:35:56,095 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1192 +[2025-03-25 04:35:56,141 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5301 +[2025-03-25 04:35:56,166 INFO hook.py line 748 195048] Test: [76/78] Loss 1.2533 +[2025-03-25 04:35:56,216 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7036 +[2025-03-25 04:35:56,239 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8896 +[2025-03-25 04:35:57,266 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:35:57,266 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:35:57,266 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:35:57,266 INFO hook.py line 689 195048] wall : 0.7141 0.8834 +[2025-03-25 04:35:57,266 INFO hook.py line 689 195048] floor : 0.9497 0.9778 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] cabinet : 0.4154 0.4944 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] bed : 0.6668 0.7970 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] chair : 0.8102 0.8817 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] sofa : 0.7061 0.8536 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] table : 0.5986 0.7003 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] door : 0.4033 0.8007 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] window : 0.3498 0.3833 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] bookshelf : 0.6755 0.8754 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] picture : 0.0000 0.0000 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] counter : 0.4523 0.6169 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] desk : 0.3777 0.5308 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] curtain : 0.4633 0.5187 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] refridgerator : 0.0000 0.0000 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] shower curtain : 0.3911 0.4457 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] toilet : 0.8386 0.8893 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] sink : 0.3788 0.4043 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] bathtub : 0.7963 0.8546 +[2025-03-25 04:35:57,267 INFO hook.py line 689 195048] otherfurniture : 0.3308 0.3907 +[2025-03-25 04:35:57,267 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:35:57,267 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5159/0.6149/0.8145. +[2025-03-25 04:35:57,267 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:35:57,277 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.5159 +[2025-03-25 04:35:57,278 INFO misc.py line 164 195048] Currently Best mIoU: 0.5159 +[2025-03-25 04:35:57,278 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:36:11,255 INFO hook.py line 566 195048] Train: [3/100][50/400] Data 0.003 (0.003) Batch 0.180 (0.202) Remain 02:11:56 loss: 1.2807 Lr: 1.33573e-03 +[2025-03-25 04:36:21,198 INFO hook.py line 566 195048] Train: [3/100][100/400] Data 0.002 (0.003) Batch 0.223 (0.200) Remain 02:10:38 loss: 1.3319 Lr: 1.43976e-03 +[2025-03-25 04:36:31,059 INFO hook.py line 566 195048] Train: [3/100][150/400] Data 0.002 (0.003) Batch 0.217 (0.199) Remain 02:09:45 loss: 1.5113 Lr: 1.54508e-03 +[2025-03-25 04:36:41,108 INFO hook.py line 566 195048] Train: [3/100][200/400] Data 0.005 (0.003) Batch 0.218 (0.200) Remain 02:09:51 loss: 1.5685 Lr: 1.65106e-03 +[2025-03-25 04:36:51,058 INFO hook.py line 566 195048] Train: [3/100][250/400] Data 0.002 (0.003) Batch 0.208 (0.200) Remain 02:09:35 loss: 0.8440 Lr: 1.75703e-03 +[2025-03-25 04:37:01,273 INFO hook.py line 566 195048] Train: [3/100][300/400] Data 0.004 (0.003) Batch 0.203 (0.200) Remain 02:09:55 loss: 1.2232 Lr: 1.86234e-03 +[2025-03-25 04:37:11,326 INFO hook.py line 566 195048] Train: [3/100][350/400] Data 0.003 (0.003) Batch 0.180 (0.201) Remain 02:09:49 loss: 1.1198 Lr: 1.96634e-03 +[2025-03-25 04:37:20,088 INFO hook.py line 566 195048] Train: [3/100][400/400] Data 0.001 (0.003) Batch 0.142 (0.197) Remain 02:07:36 loss: 1.4659 Lr: 2.06838e-03 +[2025-03-25 04:37:20,088 INFO misc.py line 135 195048] Train result: loss: 1.2186 +[2025-03-25 04:37:20,178 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:37:31,120 INFO hook.py line 748 195048] Test: [1/78] Loss 0.5924 +[2025-03-25 04:37:31,156 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7617 +[2025-03-25 04:37:31,186 INFO hook.py line 748 195048] Test: [3/78] Loss 0.8655 +[2025-03-25 04:37:31,229 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4896 +[2025-03-25 04:37:31,258 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5449 +[2025-03-25 04:37:31,311 INFO hook.py line 748 195048] Test: [6/78] Loss 2.0142 +[2025-03-25 04:37:31,358 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7413 +[2025-03-25 04:37:31,382 INFO hook.py line 748 195048] Test: [8/78] Loss 0.6706 +[2025-03-25 04:37:31,427 INFO hook.py line 748 195048] Test: [9/78] Loss 1.3689 +[2025-03-25 04:37:31,462 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8986 +[2025-03-25 04:37:31,506 INFO hook.py line 748 195048] Test: [11/78] Loss 0.8354 +[2025-03-25 04:37:31,535 INFO hook.py line 748 195048] Test: [12/78] Loss 0.6190 +[2025-03-25 04:37:31,579 INFO hook.py line 748 195048] Test: [13/78] Loss 2.2078 +[2025-03-25 04:37:31,614 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1118 +[2025-03-25 04:37:31,646 INFO hook.py line 748 195048] Test: [15/78] Loss 2.1886 +[2025-03-25 04:37:31,688 INFO hook.py line 748 195048] Test: [16/78] Loss 1.0709 +[2025-03-25 04:37:31,724 INFO hook.py line 748 195048] Test: [17/78] Loss 0.9195 +[2025-03-25 04:37:31,754 INFO hook.py line 748 195048] Test: [18/78] Loss 1.3795 +[2025-03-25 04:37:31,796 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2700 +[2025-03-25 04:37:31,824 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1395 +[2025-03-25 04:37:31,857 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3791 +[2025-03-25 04:37:31,898 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7636 +[2025-03-25 04:37:31,928 INFO hook.py line 748 195048] Test: [23/78] Loss 1.3406 +[2025-03-25 04:37:31,969 INFO hook.py line 748 195048] Test: [24/78] Loss 1.3534 +[2025-03-25 04:37:32,006 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8751 +[2025-03-25 04:37:32,044 INFO hook.py line 748 195048] Test: [26/78] Loss 1.0548 +[2025-03-25 04:37:32,089 INFO hook.py line 748 195048] Test: [27/78] Loss 1.9134 +[2025-03-25 04:37:32,121 INFO hook.py line 748 195048] Test: [28/78] Loss 1.0822 +[2025-03-25 04:37:32,146 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3110 +[2025-03-25 04:37:32,193 INFO hook.py line 748 195048] Test: [30/78] Loss 0.8033 +[2025-03-25 04:37:32,248 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6689 +[2025-03-25 04:37:32,279 INFO hook.py line 748 195048] Test: [32/78] Loss 1.6702 +[2025-03-25 04:37:32,327 INFO hook.py line 748 195048] Test: [33/78] Loss 1.0029 +[2025-03-25 04:37:32,368 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0652 +[2025-03-25 04:37:32,402 INFO hook.py line 748 195048] Test: [35/78] Loss 1.0352 +[2025-03-25 04:37:32,434 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1049 +[2025-03-25 04:37:32,466 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7924 +[2025-03-25 04:37:32,497 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4186 +[2025-03-25 04:37:32,552 INFO hook.py line 748 195048] Test: [39/78] Loss 2.0659 +[2025-03-25 04:37:32,596 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8499 +[2025-03-25 04:37:32,636 INFO hook.py line 748 195048] Test: [41/78] Loss 1.8543 +[2025-03-25 04:37:32,662 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2424 +[2025-03-25 04:37:32,703 INFO hook.py line 748 195048] Test: [43/78] Loss 0.6559 +[2025-03-25 04:37:32,753 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6271 +[2025-03-25 04:37:32,783 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7308 +[2025-03-25 04:37:32,832 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8179 +[2025-03-25 04:37:32,871 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7545 +[2025-03-25 04:37:32,903 INFO hook.py line 748 195048] Test: [48/78] Loss 1.4402 +[2025-03-25 04:37:32,936 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7631 +[2025-03-25 04:37:32,972 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1452 +[2025-03-25 04:37:32,999 INFO hook.py line 748 195048] Test: [51/78] Loss 1.3641 +[2025-03-25 04:37:33,032 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1423 +[2025-03-25 04:37:33,063 INFO hook.py line 748 195048] Test: [53/78] Loss 0.8652 +[2025-03-25 04:37:33,100 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4327 +[2025-03-25 04:37:33,140 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1479 +[2025-03-25 04:37:33,175 INFO hook.py line 748 195048] Test: [56/78] Loss 0.7921 +[2025-03-25 04:37:33,204 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7251 +[2025-03-25 04:37:33,227 INFO hook.py line 748 195048] Test: [58/78] Loss 0.9650 +[2025-03-25 04:37:33,261 INFO hook.py line 748 195048] Test: [59/78] Loss 1.2094 +[2025-03-25 04:37:33,290 INFO hook.py line 748 195048] Test: [60/78] Loss 1.1459 +[2025-03-25 04:37:33,310 INFO hook.py line 748 195048] Test: [61/78] Loss 1.3031 +[2025-03-25 04:37:33,339 INFO hook.py line 748 195048] Test: [62/78] Loss 1.1517 +[2025-03-25 04:37:33,370 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3904 +[2025-03-25 04:37:33,421 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6071 +[2025-03-25 04:37:33,444 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2442 +[2025-03-25 04:37:33,482 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7289 +[2025-03-25 04:37:33,516 INFO hook.py line 748 195048] Test: [67/78] Loss 0.9043 +[2025-03-25 04:37:33,545 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0633 +[2025-03-25 04:37:33,571 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4231 +[2025-03-25 04:37:33,625 INFO hook.py line 748 195048] Test: [70/78] Loss 0.8093 +[2025-03-25 04:37:33,663 INFO hook.py line 748 195048] Test: [71/78] Loss 1.6799 +[2025-03-25 04:37:33,708 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7651 +[2025-03-25 04:37:33,751 INFO hook.py line 748 195048] Test: [73/78] Loss 1.6513 +[2025-03-25 04:37:33,789 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2925 +[2025-03-25 04:37:33,835 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7243 +[2025-03-25 04:37:33,860 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0454 +[2025-03-25 04:37:33,910 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8952 +[2025-03-25 04:37:33,933 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7614 +[2025-03-25 04:37:34,936 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:37:34,936 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:37:34,937 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] wall : 0.7167 0.8212 +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] floor : 0.9517 0.9812 +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] cabinet : 0.3822 0.6421 +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] bed : 0.6630 0.6865 +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] chair : 0.7745 0.8355 +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] sofa : 0.6005 0.8952 +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] table : 0.5673 0.6538 +[2025-03-25 04:37:34,937 INFO hook.py line 689 195048] door : 0.4049 0.6741 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] window : 0.4033 0.6029 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] bookshelf : 0.4800 0.5136 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] picture : 0.2103 0.5024 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] counter : 0.3012 0.8633 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] desk : 0.3706 0.5690 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] curtain : 0.4293 0.4505 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] refridgerator : 0.1705 0.5722 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] shower curtain : 0.4200 0.6775 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] toilet : 0.7666 0.9194 +[2025-03-25 04:37:34,938 INFO hook.py line 689 195048] sink : 0.4800 0.5523 +[2025-03-25 04:37:34,939 INFO hook.py line 689 195048] bathtub : 0.8055 0.8524 +[2025-03-25 04:37:34,939 INFO hook.py line 689 195048] otherfurniture : 0.3599 0.4070 +[2025-03-25 04:37:34,939 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:37:34,939 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5129/0.6836/0.7957. +[2025-03-25 04:37:34,940 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:37:34,952 INFO misc.py line 164 195048] Currently Best mIoU: 0.5159 +[2025-03-25 04:37:34,952 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:37:48,261 INFO hook.py line 566 195048] Train: [4/100][50/400] Data 0.004 (0.003) Batch 0.215 (0.198) Remain 02:08:00 loss: 1.5198 Lr: 2.16785e-03 +[2025-03-25 04:37:58,320 INFO hook.py line 566 195048] Train: [4/100][100/400] Data 0.003 (0.003) Batch 0.218 (0.200) Remain 02:08:50 loss: 1.1409 Lr: 2.26412e-03 +[2025-03-25 04:38:08,161 INFO hook.py line 566 195048] Train: [4/100][150/400] Data 0.004 (0.003) Batch 0.198 (0.199) Remain 02:08:01 loss: 1.6576 Lr: 2.35659e-03 +[2025-03-25 04:38:18,324 INFO hook.py line 566 195048] Train: [4/100][200/400] Data 0.004 (0.003) Batch 0.214 (0.200) Remain 02:08:35 loss: 1.4062 Lr: 2.44471e-03 +[2025-03-25 04:38:28,299 INFO hook.py line 566 195048] Train: [4/100][250/400] Data 0.002 (0.003) Batch 0.172 (0.200) Remain 02:08:23 loss: 1.3091 Lr: 2.52792e-03 +[2025-03-25 04:38:38,173 INFO hook.py line 566 195048] Train: [4/100][300/400] Data 0.004 (0.003) Batch 0.205 (0.199) Remain 02:07:57 loss: 1.5807 Lr: 2.60572e-03 +[2025-03-25 04:38:48,208 INFO hook.py line 566 195048] Train: [4/100][350/400] Data 0.003 (0.003) Batch 0.221 (0.200) Remain 02:07:54 loss: 0.9065 Lr: 2.67762e-03 +[2025-03-25 04:38:57,183 INFO hook.py line 566 195048] Train: [4/100][400/400] Data 0.001 (0.003) Batch 0.167 (0.197) Remain 02:06:07 loss: 1.0578 Lr: 2.74317e-03 +[2025-03-25 04:38:57,183 INFO misc.py line 135 195048] Train result: loss: 1.1677 +[2025-03-25 04:38:57,273 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:39:08,202 INFO hook.py line 748 195048] Test: [1/78] Loss 0.4087 +[2025-03-25 04:39:08,238 INFO hook.py line 748 195048] Test: [2/78] Loss 1.1086 +[2025-03-25 04:39:08,496 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5348 +[2025-03-25 04:39:08,538 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5995 +[2025-03-25 04:39:08,571 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6399 +[2025-03-25 04:39:08,626 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6243 +[2025-03-25 04:39:08,672 INFO hook.py line 748 195048] Test: [7/78] Loss 1.0881 +[2025-03-25 04:39:08,699 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5862 +[2025-03-25 04:39:08,743 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0914 +[2025-03-25 04:39:08,775 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0655 +[2025-03-25 04:39:08,833 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5027 +[2025-03-25 04:39:08,861 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9059 +[2025-03-25 04:39:08,904 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8177 +[2025-03-25 04:39:08,937 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8175 +[2025-03-25 04:39:08,969 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8615 +[2025-03-25 04:39:09,010 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2946 +[2025-03-25 04:39:09,054 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8990 +[2025-03-25 04:39:09,091 INFO hook.py line 748 195048] Test: [18/78] Loss 1.7346 +[2025-03-25 04:39:09,132 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4142 +[2025-03-25 04:39:09,161 INFO hook.py line 748 195048] Test: [20/78] Loss 0.8284 +[2025-03-25 04:39:09,204 INFO hook.py line 748 195048] Test: [21/78] Loss 0.4944 +[2025-03-25 04:39:09,242 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4281 +[2025-03-25 04:39:09,267 INFO hook.py line 748 195048] Test: [23/78] Loss 1.2454 +[2025-03-25 04:39:09,305 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9428 +[2025-03-25 04:39:09,342 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2268 +[2025-03-25 04:39:09,379 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8236 +[2025-03-25 04:39:09,424 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2404 +[2025-03-25 04:39:09,457 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5900 +[2025-03-25 04:39:09,491 INFO hook.py line 748 195048] Test: [29/78] Loss 0.4900 +[2025-03-25 04:39:09,543 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6882 +[2025-03-25 04:39:09,596 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5741 +[2025-03-25 04:39:09,628 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7631 +[2025-03-25 04:39:09,677 INFO hook.py line 748 195048] Test: [33/78] Loss 0.5497 +[2025-03-25 04:39:09,715 INFO hook.py line 748 195048] Test: [34/78] Loss 1.4850 +[2025-03-25 04:39:09,751 INFO hook.py line 748 195048] Test: [35/78] Loss 0.6147 +[2025-03-25 04:39:09,781 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1723 +[2025-03-25 04:39:09,813 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7703 +[2025-03-25 04:39:09,847 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4264 +[2025-03-25 04:39:09,902 INFO hook.py line 748 195048] Test: [39/78] Loss 1.1255 +[2025-03-25 04:39:09,945 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5920 +[2025-03-25 04:39:09,987 INFO hook.py line 748 195048] Test: [41/78] Loss 1.4022 +[2025-03-25 04:39:10,019 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4673 +[2025-03-25 04:39:10,057 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4590 +[2025-03-25 04:39:10,108 INFO hook.py line 748 195048] Test: [44/78] Loss 0.9937 +[2025-03-25 04:39:10,139 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6466 +[2025-03-25 04:39:10,182 INFO hook.py line 748 195048] Test: [46/78] Loss 1.0155 +[2025-03-25 04:39:10,217 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7304 +[2025-03-25 04:39:10,253 INFO hook.py line 748 195048] Test: [48/78] Loss 0.9366 +[2025-03-25 04:39:10,291 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3317 +[2025-03-25 04:39:10,324 INFO hook.py line 748 195048] Test: [50/78] Loss 1.5084 +[2025-03-25 04:39:10,351 INFO hook.py line 748 195048] Test: [51/78] Loss 1.4651 +[2025-03-25 04:39:10,387 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2945 +[2025-03-25 04:39:10,422 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5996 +[2025-03-25 04:39:10,457 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5460 +[2025-03-25 04:39:10,491 INFO hook.py line 748 195048] Test: [55/78] Loss 0.2332 +[2025-03-25 04:39:10,527 INFO hook.py line 748 195048] Test: [56/78] Loss 0.8031 +[2025-03-25 04:39:10,556 INFO hook.py line 748 195048] Test: [57/78] Loss 1.5904 +[2025-03-25 04:39:10,579 INFO hook.py line 748 195048] Test: [58/78] Loss 1.1464 +[2025-03-25 04:39:10,615 INFO hook.py line 748 195048] Test: [59/78] Loss 1.0725 +[2025-03-25 04:39:10,644 INFO hook.py line 748 195048] Test: [60/78] Loss 1.0076 +[2025-03-25 04:39:10,664 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7532 +[2025-03-25 04:39:10,692 INFO hook.py line 748 195048] Test: [62/78] Loss 0.9358 +[2025-03-25 04:39:10,725 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3541 +[2025-03-25 04:39:10,775 INFO hook.py line 748 195048] Test: [64/78] Loss 1.9114 +[2025-03-25 04:39:10,799 INFO hook.py line 748 195048] Test: [65/78] Loss 1.6246 +[2025-03-25 04:39:10,836 INFO hook.py line 748 195048] Test: [66/78] Loss 1.3823 +[2025-03-25 04:39:10,870 INFO hook.py line 748 195048] Test: [67/78] Loss 1.0812 +[2025-03-25 04:39:10,899 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2557 +[2025-03-25 04:39:10,925 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4295 +[2025-03-25 04:39:10,977 INFO hook.py line 748 195048] Test: [70/78] Loss 0.9477 +[2025-03-25 04:39:11,015 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2913 +[2025-03-25 04:39:11,060 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7547 +[2025-03-25 04:39:11,104 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7279 +[2025-03-25 04:39:11,141 INFO hook.py line 748 195048] Test: [74/78] Loss 2.6288 +[2025-03-25 04:39:11,187 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5828 +[2025-03-25 04:39:11,214 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9865 +[2025-03-25 04:39:11,263 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8999 +[2025-03-25 04:39:11,286 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7577 +[2025-03-25 04:39:12,297 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:39:12,297 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:39:12,297 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:39:12,297 INFO hook.py line 689 195048] wall : 0.7208 0.7964 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] floor : 0.9487 0.9671 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] cabinet : 0.4543 0.5536 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] bed : 0.5334 0.5686 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] chair : 0.7618 0.9600 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] sofa : 0.6216 0.6522 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] table : 0.5488 0.6286 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] door : 0.4021 0.7380 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] window : 0.4269 0.6962 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] bookshelf : 0.6980 0.8478 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] picture : 0.1781 0.3216 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] counter : 0.5080 0.6022 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] desk : 0.4366 0.6610 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] curtain : 0.4548 0.5795 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] refridgerator : 0.3288 0.4484 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] shower curtain : 0.4358 0.6118 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] toilet : 0.8273 0.9048 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] sink : 0.4821 0.6824 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] bathtub : 0.7710 0.8648 +[2025-03-25 04:39:12,298 INFO hook.py line 689 195048] otherfurniture : 0.3640 0.6181 +[2025-03-25 04:39:12,298 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:39:12,298 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5452/0.6852/0.8064. +[2025-03-25 04:39:12,298 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:39:12,311 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.5452 +[2025-03-25 04:39:12,312 INFO misc.py line 164 195048] Currently Best mIoU: 0.5452 +[2025-03-25 04:39:12,312 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:39:25,756 INFO hook.py line 566 195048] Train: [5/100][50/400] Data 0.002 (0.003) Batch 0.187 (0.199) Remain 02:07:25 loss: 1.4086 Lr: 2.80198e-03 +[2025-03-25 04:39:36,179 INFO hook.py line 566 195048] Train: [5/100][100/400] Data 0.002 (0.003) Batch 0.187 (0.204) Remain 02:10:15 loss: 1.6357 Lr: 2.85368e-03 +[2025-03-25 04:39:46,142 INFO hook.py line 566 195048] Train: [5/100][150/400] Data 0.003 (0.003) Batch 0.186 (0.202) Remain 02:09:02 loss: 1.2038 Lr: 2.89795e-03 +[2025-03-25 04:39:56,089 INFO hook.py line 566 195048] Train: [5/100][200/400] Data 0.004 (0.003) Batch 0.197 (0.202) Remain 02:08:18 loss: 1.3383 Lr: 2.93452e-03 +[2025-03-25 04:40:06,066 INFO hook.py line 566 195048] Train: [5/100][250/400] Data 0.003 (0.003) Batch 0.191 (0.201) Remain 02:07:52 loss: 1.0428 Lr: 2.96316e-03 +[2025-03-25 04:40:15,959 INFO hook.py line 566 195048] Train: [5/100][300/400] Data 0.002 (0.003) Batch 0.203 (0.201) Remain 02:07:21 loss: 1.0725 Lr: 2.98369e-03 +[2025-03-25 04:40:25,842 INFO hook.py line 566 195048] Train: [5/100][350/400] Data 0.003 (0.003) Batch 0.199 (0.200) Remain 02:06:55 loss: 1.2762 Lr: 2.99600e-03 +[2025-03-25 04:40:34,711 INFO hook.py line 566 195048] Train: [5/100][400/400] Data 0.001 (0.003) Batch 0.154 (0.197) Remain 02:04:57 loss: 1.1738 Lr: 3.00000e-03 +[2025-03-25 04:40:34,712 INFO misc.py line 135 195048] Train result: loss: 1.1202 +[2025-03-25 04:40:34,808 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:40:45,222 INFO hook.py line 748 195048] Test: [1/78] Loss 0.6904 +[2025-03-25 04:40:45,272 INFO hook.py line 748 195048] Test: [2/78] Loss 0.9333 +[2025-03-25 04:40:45,311 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5824 +[2025-03-25 04:40:45,415 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5133 +[2025-03-25 04:40:45,513 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6123 +[2025-03-25 04:40:45,609 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7863 +[2025-03-25 04:40:46,213 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7518 +[2025-03-25 04:40:46,236 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5011 +[2025-03-25 04:40:46,278 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1391 +[2025-03-25 04:40:46,316 INFO hook.py line 748 195048] Test: [10/78] Loss 1.2462 +[2025-03-25 04:40:46,360 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6845 +[2025-03-25 04:40:46,390 INFO hook.py line 748 195048] Test: [12/78] Loss 0.7009 +[2025-03-25 04:40:46,433 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9336 +[2025-03-25 04:40:46,467 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7127 +[2025-03-25 04:40:46,500 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9063 +[2025-03-25 04:40:46,542 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3902 +[2025-03-25 04:40:46,578 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8936 +[2025-03-25 04:40:46,611 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0439 +[2025-03-25 04:40:46,651 INFO hook.py line 748 195048] Test: [19/78] Loss 1.3265 +[2025-03-25 04:40:46,679 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0149 +[2025-03-25 04:40:46,711 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3432 +[2025-03-25 04:40:46,747 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3460 +[2025-03-25 04:40:46,774 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0576 +[2025-03-25 04:40:46,813 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9337 +[2025-03-25 04:40:46,851 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1401 +[2025-03-25 04:40:46,888 INFO hook.py line 748 195048] Test: [26/78] Loss 1.0110 +[2025-03-25 04:40:46,938 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3665 +[2025-03-25 04:40:46,967 INFO hook.py line 748 195048] Test: [28/78] Loss 0.7083 +[2025-03-25 04:40:46,992 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3306 +[2025-03-25 04:40:47,042 INFO hook.py line 748 195048] Test: [30/78] Loss 0.8897 +[2025-03-25 04:40:47,097 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6798 +[2025-03-25 04:40:47,128 INFO hook.py line 748 195048] Test: [32/78] Loss 0.9342 +[2025-03-25 04:40:47,176 INFO hook.py line 748 195048] Test: [33/78] Loss 0.6147 +[2025-03-25 04:40:47,213 INFO hook.py line 748 195048] Test: [34/78] Loss 0.8862 +[2025-03-25 04:40:47,250 INFO hook.py line 748 195048] Test: [35/78] Loss 0.8882 +[2025-03-25 04:40:47,287 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0682 +[2025-03-25 04:40:47,324 INFO hook.py line 748 195048] Test: [37/78] Loss 0.8336 +[2025-03-25 04:40:47,353 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3994 +[2025-03-25 04:40:47,410 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5125 +[2025-03-25 04:40:47,451 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9682 +[2025-03-25 04:40:47,490 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2097 +[2025-03-25 04:40:47,513 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3866 +[2025-03-25 04:40:47,546 INFO hook.py line 748 195048] Test: [43/78] Loss 0.7036 +[2025-03-25 04:40:47,610 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6417 +[2025-03-25 04:40:47,641 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6945 +[2025-03-25 04:40:47,684 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8455 +[2025-03-25 04:40:47,726 INFO hook.py line 748 195048] Test: [47/78] Loss 2.3280 +[2025-03-25 04:40:47,757 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6553 +[2025-03-25 04:40:47,796 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5408 +[2025-03-25 04:40:47,826 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1123 +[2025-03-25 04:40:47,862 INFO hook.py line 748 195048] Test: [51/78] Loss 1.9613 +[2025-03-25 04:40:47,895 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1766 +[2025-03-25 04:40:47,921 INFO hook.py line 748 195048] Test: [53/78] Loss 0.8354 +[2025-03-25 04:40:47,956 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4592 +[2025-03-25 04:40:47,991 INFO hook.py line 748 195048] Test: [55/78] Loss 0.2107 +[2025-03-25 04:40:48,026 INFO hook.py line 748 195048] Test: [56/78] Loss 0.7223 +[2025-03-25 04:40:48,055 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8627 +[2025-03-25 04:40:48,078 INFO hook.py line 748 195048] Test: [58/78] Loss 1.3758 +[2025-03-25 04:40:48,113 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9335 +[2025-03-25 04:40:48,141 INFO hook.py line 748 195048] Test: [60/78] Loss 1.0596 +[2025-03-25 04:40:48,161 INFO hook.py line 748 195048] Test: [61/78] Loss 0.9930 +[2025-03-25 04:40:48,189 INFO hook.py line 748 195048] Test: [62/78] Loss 0.9687 +[2025-03-25 04:40:48,221 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4729 +[2025-03-25 04:40:48,272 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7548 +[2025-03-25 04:40:48,295 INFO hook.py line 748 195048] Test: [65/78] Loss 1.6457 +[2025-03-25 04:40:48,332 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7718 +[2025-03-25 04:40:48,367 INFO hook.py line 748 195048] Test: [67/78] Loss 1.0762 +[2025-03-25 04:40:48,395 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0195 +[2025-03-25 04:40:48,421 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3733 +[2025-03-25 04:40:48,473 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1527 +[2025-03-25 04:40:48,511 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0238 +[2025-03-25 04:40:48,557 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5122 +[2025-03-25 04:40:48,600 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8016 +[2025-03-25 04:40:48,638 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3582 +[2025-03-25 04:40:48,684 INFO hook.py line 748 195048] Test: [75/78] Loss 0.4803 +[2025-03-25 04:40:48,709 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9477 +[2025-03-25 04:40:48,758 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8564 +[2025-03-25 04:40:48,781 INFO hook.py line 748 195048] Test: [78/78] Loss 1.0864 +[2025-03-25 04:40:49,651 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:40:49,652 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:40:49,652 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] wall : 0.7384 0.8549 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] floor : 0.9521 0.9832 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] cabinet : 0.4529 0.6349 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] bed : 0.6744 0.8004 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] chair : 0.8188 0.8667 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] sofa : 0.7080 0.9216 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] table : 0.6263 0.7415 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] door : 0.3901 0.7220 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] window : 0.3731 0.5068 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] bookshelf : 0.6661 0.8235 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] picture : 0.1620 0.1976 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] counter : 0.4880 0.7197 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] desk : 0.4777 0.5977 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] curtain : 0.1029 0.1066 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] refridgerator : 0.2038 0.6426 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] shower curtain : 0.4542 0.5661 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] toilet : 0.5059 0.5070 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] sink : 0.4877 0.6769 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] bathtub : 0.6847 0.8894 +[2025-03-25 04:40:49,652 INFO hook.py line 689 195048] otherfurniture : 0.3338 0.4016 +[2025-03-25 04:40:49,652 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:40:49,652 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5150/0.6580/0.8148. +[2025-03-25 04:40:49,652 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:40:49,669 INFO misc.py line 164 195048] Currently Best mIoU: 0.5452 +[2025-03-25 04:40:49,669 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:41:02,825 INFO hook.py line 566 195048] Train: [6/100][50/400] Data 0.002 (0.003) Batch 0.215 (0.205) Remain 02:09:47 loss: 1.1651 Lr: 2.99999e-03 +[2025-03-25 04:41:12,784 INFO hook.py line 566 195048] Train: [6/100][100/400] Data 0.005 (0.003) Batch 0.206 (0.202) Remain 02:07:39 loss: 1.0980 Lr: 2.99995e-03 +[2025-03-25 04:41:22,692 INFO hook.py line 566 195048] Train: [6/100][150/400] Data 0.004 (0.003) Batch 0.212 (0.201) Remain 02:06:38 loss: 1.1059 Lr: 2.99988e-03 +[2025-03-25 04:41:32,987 INFO hook.py line 566 195048] Train: [6/100][200/400] Data 0.002 (0.003) Batch 0.200 (0.202) Remain 02:07:17 loss: 0.9613 Lr: 2.99979e-03 +[2025-03-25 04:41:42,912 INFO hook.py line 566 195048] Train: [6/100][250/400] Data 0.002 (0.003) Batch 0.194 (0.201) Remain 02:06:40 loss: 0.8111 Lr: 2.99968e-03 +[2025-03-25 04:41:53,247 INFO hook.py line 566 195048] Train: [6/100][300/400] Data 0.003 (0.003) Batch 0.200 (0.202) Remain 02:07:04 loss: 1.5075 Lr: 2.99954e-03 +[2025-03-25 04:42:03,199 INFO hook.py line 566 195048] Train: [6/100][350/400] Data 0.003 (0.003) Batch 0.200 (0.202) Remain 02:06:37 loss: 1.5860 Lr: 2.99937e-03 +[2025-03-25 04:42:11,977 INFO hook.py line 566 195048] Train: [6/100][400/400] Data 0.001 (0.003) Batch 0.154 (0.198) Remain 02:04:22 loss: 1.3378 Lr: 2.99918e-03 +[2025-03-25 04:42:11,978 INFO misc.py line 135 195048] Train result: loss: 1.0503 +[2025-03-25 04:42:12,066 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:42:22,489 INFO hook.py line 748 195048] Test: [1/78] Loss 0.5296 +[2025-03-25 04:42:22,705 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6707 +[2025-03-25 04:42:22,742 INFO hook.py line 748 195048] Test: [3/78] Loss 0.8796 +[2025-03-25 04:42:23,052 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4759 +[2025-03-25 04:42:23,081 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6865 +[2025-03-25 04:42:23,132 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4663 +[2025-03-25 04:42:23,228 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7265 +[2025-03-25 04:42:23,260 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3316 +[2025-03-25 04:42:23,299 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0963 +[2025-03-25 04:42:23,331 INFO hook.py line 748 195048] Test: [10/78] Loss 1.1138 +[2025-03-25 04:42:23,372 INFO hook.py line 748 195048] Test: [11/78] Loss 0.9499 +[2025-03-25 04:42:23,401 INFO hook.py line 748 195048] Test: [12/78] Loss 0.8739 +[2025-03-25 04:42:23,444 INFO hook.py line 748 195048] Test: [13/78] Loss 1.6436 +[2025-03-25 04:42:23,479 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8684 +[2025-03-25 04:42:23,518 INFO hook.py line 748 195048] Test: [15/78] Loss 1.5792 +[2025-03-25 04:42:23,560 INFO hook.py line 748 195048] Test: [16/78] Loss 0.4166 +[2025-03-25 04:42:23,596 INFO hook.py line 748 195048] Test: [17/78] Loss 1.5599 +[2025-03-25 04:42:23,633 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9019 +[2025-03-25 04:42:23,674 INFO hook.py line 748 195048] Test: [19/78] Loss 1.3049 +[2025-03-25 04:42:23,703 INFO hook.py line 748 195048] Test: [20/78] Loss 0.6912 +[2025-03-25 04:42:23,736 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3386 +[2025-03-25 04:42:23,772 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3711 +[2025-03-25 04:42:23,796 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1344 +[2025-03-25 04:42:23,835 INFO hook.py line 748 195048] Test: [24/78] Loss 0.6967 +[2025-03-25 04:42:23,875 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1612 +[2025-03-25 04:42:23,916 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8584 +[2025-03-25 04:42:23,962 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5143 +[2025-03-25 04:42:23,992 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4851 +[2025-03-25 04:42:24,017 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3769 +[2025-03-25 04:42:24,067 INFO hook.py line 748 195048] Test: [30/78] Loss 0.8386 +[2025-03-25 04:42:24,120 INFO hook.py line 748 195048] Test: [31/78] Loss 0.7684 +[2025-03-25 04:42:24,151 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7621 +[2025-03-25 04:42:24,199 INFO hook.py line 748 195048] Test: [33/78] Loss 0.4787 +[2025-03-25 04:42:24,233 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0770 +[2025-03-25 04:42:24,270 INFO hook.py line 748 195048] Test: [35/78] Loss 0.7772 +[2025-03-25 04:42:24,303 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2065 +[2025-03-25 04:42:24,336 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7850 +[2025-03-25 04:42:24,370 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5774 +[2025-03-25 04:42:24,424 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6128 +[2025-03-25 04:42:24,470 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6770 +[2025-03-25 04:42:24,508 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1989 +[2025-03-25 04:42:24,541 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2492 +[2025-03-25 04:42:24,574 INFO hook.py line 748 195048] Test: [43/78] Loss 0.5661 +[2025-03-25 04:42:24,627 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7277 +[2025-03-25 04:42:24,659 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7400 +[2025-03-25 04:42:24,701 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6506 +[2025-03-25 04:42:24,737 INFO hook.py line 748 195048] Test: [47/78] Loss 2.1470 +[2025-03-25 04:42:24,768 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6820 +[2025-03-25 04:42:24,798 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5080 +[2025-03-25 04:42:24,831 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0696 +[2025-03-25 04:42:24,866 INFO hook.py line 748 195048] Test: [51/78] Loss 2.3109 +[2025-03-25 04:42:24,907 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2109 +[2025-03-25 04:42:24,931 INFO hook.py line 748 195048] Test: [53/78] Loss 0.8749 +[2025-03-25 04:42:24,968 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4248 +[2025-03-25 04:42:25,004 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1459 +[2025-03-25 04:42:25,039 INFO hook.py line 748 195048] Test: [56/78] Loss 0.5792 +[2025-03-25 04:42:25,067 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8134 +[2025-03-25 04:42:25,091 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6246 +[2025-03-25 04:42:25,125 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8458 +[2025-03-25 04:42:25,154 INFO hook.py line 748 195048] Test: [60/78] Loss 1.1467 +[2025-03-25 04:42:25,174 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6618 +[2025-03-25 04:42:25,203 INFO hook.py line 748 195048] Test: [62/78] Loss 1.1205 +[2025-03-25 04:42:25,235 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1135 +[2025-03-25 04:42:25,285 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5417 +[2025-03-25 04:42:25,309 INFO hook.py line 748 195048] Test: [65/78] Loss 1.7792 +[2025-03-25 04:42:25,345 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7220 +[2025-03-25 04:42:25,380 INFO hook.py line 748 195048] Test: [67/78] Loss 0.9393 +[2025-03-25 04:42:25,408 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2362 +[2025-03-25 04:42:25,434 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3213 +[2025-03-25 04:42:25,486 INFO hook.py line 748 195048] Test: [70/78] Loss 0.8220 +[2025-03-25 04:42:25,524 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2472 +[2025-03-25 04:42:25,569 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4953 +[2025-03-25 04:42:25,613 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7483 +[2025-03-25 04:42:25,651 INFO hook.py line 748 195048] Test: [74/78] Loss 2.7231 +[2025-03-25 04:42:25,697 INFO hook.py line 748 195048] Test: [75/78] Loss 0.4647 +[2025-03-25 04:42:25,722 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1401 +[2025-03-25 04:42:25,772 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7455 +[2025-03-25 04:42:25,795 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9563 +[2025-03-25 04:42:26,825 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:42:26,825 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:42:26,825 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] wall : 0.7521 0.8612 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] floor : 0.9491 0.9867 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] cabinet : 0.4261 0.6577 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] bed : 0.6252 0.8426 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] chair : 0.8218 0.8540 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] sofa : 0.7326 0.8720 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] table : 0.5908 0.7513 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] door : 0.4592 0.6036 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] window : 0.4054 0.5017 +[2025-03-25 04:42:26,826 INFO hook.py line 689 195048] bookshelf : 0.5375 0.8877 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] picture : 0.2116 0.4388 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] counter : 0.4692 0.8306 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] desk : 0.3818 0.7922 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] curtain : 0.3768 0.3925 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] refridgerator : 0.3028 0.3616 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] shower curtain : 0.3977 0.4353 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] toilet : 0.8232 0.8566 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] sink : 0.4706 0.5103 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] bathtub : 0.8360 0.8763 +[2025-03-25 04:42:26,827 INFO hook.py line 689 195048] otherfurniture : 0.2693 0.2943 +[2025-03-25 04:42:26,827 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:42:26,828 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5419/0.6803/0.8187. +[2025-03-25 04:42:26,828 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:42:26,842 INFO misc.py line 164 195048] Currently Best mIoU: 0.5452 +[2025-03-25 04:42:26,843 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:42:40,245 INFO hook.py line 566 195048] Train: [7/100][50/400] Data 0.002 (0.003) Batch 0.187 (0.200) Remain 02:04:56 loss: 0.9148 Lr: 2.99896e-03 +[2025-03-25 04:42:50,146 INFO hook.py line 566 195048] Train: [7/100][100/400] Data 0.002 (0.003) Batch 0.199 (0.199) Remain 02:04:14 loss: 0.7633 Lr: 2.99871e-03 +[2025-03-25 04:42:59,943 INFO hook.py line 566 195048] Train: [7/100][150/400] Data 0.002 (0.003) Batch 0.190 (0.198) Remain 02:03:28 loss: 1.3112 Lr: 2.99844e-03 +[2025-03-25 04:43:09,880 INFO hook.py line 566 195048] Train: [7/100][200/400] Data 0.002 (0.003) Batch 0.193 (0.198) Remain 02:03:27 loss: 0.8758 Lr: 2.99815e-03 +[2025-03-25 04:43:19,984 INFO hook.py line 566 195048] Train: [7/100][250/400] Data 0.003 (0.003) Batch 0.209 (0.199) Remain 02:03:47 loss: 0.7795 Lr: 2.99783e-03 +[2025-03-25 04:43:29,840 INFO hook.py line 566 195048] Train: [7/100][300/400] Data 0.003 (0.003) Batch 0.180 (0.199) Remain 02:03:26 loss: 1.0606 Lr: 2.99748e-03 +[2025-03-25 04:43:39,749 INFO hook.py line 566 195048] Train: [7/100][350/400] Data 0.002 (0.003) Batch 0.185 (0.199) Remain 02:03:14 loss: 1.2324 Lr: 2.99711e-03 +[2025-03-25 04:43:48,939 INFO hook.py line 566 195048] Train: [7/100][400/400] Data 0.001 (0.003) Batch 0.150 (0.197) Remain 02:01:56 loss: 1.1246 Lr: 2.99671e-03 +[2025-03-25 04:43:48,940 INFO misc.py line 135 195048] Train result: loss: 0.9764 +[2025-03-25 04:43:49,029 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:43:59,460 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3109 +[2025-03-25 04:43:59,670 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8002 +[2025-03-25 04:43:59,702 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5523 +[2025-03-25 04:43:59,746 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6448 +[2025-03-25 04:43:59,781 INFO hook.py line 748 195048] Test: [5/78] Loss 0.7157 +[2025-03-25 04:43:59,852 INFO hook.py line 748 195048] Test: [6/78] Loss 1.2714 +[2025-03-25 04:43:59,994 INFO hook.py line 748 195048] Test: [7/78] Loss 0.9934 +[2025-03-25 04:44:00,187 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4351 +[2025-03-25 04:44:00,228 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0376 +[2025-03-25 04:44:00,263 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0943 +[2025-03-25 04:44:00,309 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7224 +[2025-03-25 04:44:00,340 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9312 +[2025-03-25 04:44:00,385 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8949 +[2025-03-25 04:44:00,419 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8283 +[2025-03-25 04:44:00,452 INFO hook.py line 748 195048] Test: [15/78] Loss 2.5602 +[2025-03-25 04:44:00,494 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2035 +[2025-03-25 04:44:00,531 INFO hook.py line 748 195048] Test: [17/78] Loss 1.1269 +[2025-03-25 04:44:00,562 INFO hook.py line 748 195048] Test: [18/78] Loss 1.1046 +[2025-03-25 04:44:00,604 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1530 +[2025-03-25 04:44:00,632 INFO hook.py line 748 195048] Test: [20/78] Loss 0.8482 +[2025-03-25 04:44:00,665 INFO hook.py line 748 195048] Test: [21/78] Loss 0.4042 +[2025-03-25 04:44:00,703 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7274 +[2025-03-25 04:44:00,727 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0280 +[2025-03-25 04:44:00,766 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0615 +[2025-03-25 04:44:00,805 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9099 +[2025-03-25 04:44:00,842 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7953 +[2025-03-25 04:44:00,888 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1839 +[2025-03-25 04:44:00,917 INFO hook.py line 748 195048] Test: [28/78] Loss 0.7325 +[2025-03-25 04:44:00,942 INFO hook.py line 748 195048] Test: [29/78] Loss 0.4640 +[2025-03-25 04:44:00,991 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7851 +[2025-03-25 04:44:01,045 INFO hook.py line 748 195048] Test: [31/78] Loss 0.8222 +[2025-03-25 04:44:01,076 INFO hook.py line 748 195048] Test: [32/78] Loss 1.0103 +[2025-03-25 04:44:01,126 INFO hook.py line 748 195048] Test: [33/78] Loss 0.4289 +[2025-03-25 04:44:01,166 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0004 +[2025-03-25 04:44:01,200 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4841 +[2025-03-25 04:44:01,231 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9769 +[2025-03-25 04:44:01,264 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7936 +[2025-03-25 04:44:01,294 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5130 +[2025-03-25 04:44:01,349 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4564 +[2025-03-25 04:44:01,391 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6814 +[2025-03-25 04:44:01,429 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1907 +[2025-03-25 04:44:01,453 INFO hook.py line 748 195048] Test: [42/78] Loss 0.5153 +[2025-03-25 04:44:01,485 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3447 +[2025-03-25 04:44:01,536 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7544 +[2025-03-25 04:44:01,565 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7431 +[2025-03-25 04:44:01,612 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7778 +[2025-03-25 04:44:01,650 INFO hook.py line 748 195048] Test: [47/78] Loss 1.3884 +[2025-03-25 04:44:01,683 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8039 +[2025-03-25 04:44:01,714 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2892 +[2025-03-25 04:44:01,747 INFO hook.py line 748 195048] Test: [50/78] Loss 1.4291 +[2025-03-25 04:44:01,774 INFO hook.py line 748 195048] Test: [51/78] Loss 0.7994 +[2025-03-25 04:44:01,809 INFO hook.py line 748 195048] Test: [52/78] Loss 1.4177 +[2025-03-25 04:44:01,838 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3656 +[2025-03-25 04:44:01,872 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3952 +[2025-03-25 04:44:01,907 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1043 +[2025-03-25 04:44:01,943 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3381 +[2025-03-25 04:44:01,972 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0083 +[2025-03-25 04:44:01,995 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8842 +[2025-03-25 04:44:02,029 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8215 +[2025-03-25 04:44:02,058 INFO hook.py line 748 195048] Test: [60/78] Loss 1.0243 +[2025-03-25 04:44:02,078 INFO hook.py line 748 195048] Test: [61/78] Loss 1.0777 +[2025-03-25 04:44:02,106 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7792 +[2025-03-25 04:44:02,138 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4009 +[2025-03-25 04:44:02,189 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4811 +[2025-03-25 04:44:02,212 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3204 +[2025-03-25 04:44:02,249 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8567 +[2025-03-25 04:44:02,284 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4301 +[2025-03-25 04:44:02,312 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1906 +[2025-03-25 04:44:02,339 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3689 +[2025-03-25 04:44:02,391 INFO hook.py line 748 195048] Test: [70/78] Loss 0.9095 +[2025-03-25 04:44:02,429 INFO hook.py line 748 195048] Test: [71/78] Loss 1.3378 +[2025-03-25 04:44:02,474 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7423 +[2025-03-25 04:44:02,517 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7353 +[2025-03-25 04:44:02,555 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2384 +[2025-03-25 04:44:02,601 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5475 +[2025-03-25 04:44:02,625 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9427 +[2025-03-25 04:44:02,675 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5976 +[2025-03-25 04:44:02,697 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6095 +[2025-03-25 04:44:03,674 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:44:03,674 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:44:03,674 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] wall : 0.7570 0.8406 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] floor : 0.9478 0.9823 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] cabinet : 0.4418 0.6226 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] bed : 0.5866 0.6297 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] chair : 0.8003 0.8869 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] sofa : 0.7045 0.8521 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] table : 0.5692 0.7993 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] door : 0.4780 0.6111 +[2025-03-25 04:44:03,675 INFO hook.py line 689 195048] window : 0.4290 0.5362 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] bookshelf : 0.6241 0.8066 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] picture : 0.2460 0.3564 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] counter : 0.5343 0.6223 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] desk : 0.4588 0.6732 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] curtain : 0.4822 0.7810 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] refridgerator : 0.2648 0.5054 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] shower curtain : 0.4525 0.7687 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] toilet : 0.4791 0.9578 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] sink : 0.5655 0.6741 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] bathtub : 0.3735 0.8869 +[2025-03-25 04:44:03,676 INFO hook.py line 689 195048] otherfurniture : 0.3973 0.5572 +[2025-03-25 04:44:03,677 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:44:03,677 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5296/0.7175/0.8244. +[2025-03-25 04:44:03,678 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:44:03,693 INFO misc.py line 164 195048] Currently Best mIoU: 0.5452 +[2025-03-25 04:44:03,693 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:44:17,197 INFO hook.py line 566 195048] Train: [8/100][50/400] Data 0.002 (0.003) Batch 0.183 (0.197) Remain 02:02:14 loss: 0.9299 Lr: 2.99629e-03 +[2025-03-25 04:44:27,184 INFO hook.py line 566 195048] Train: [8/100][100/400] Data 0.002 (0.003) Batch 0.185 (0.199) Remain 02:02:48 loss: 1.2319 Lr: 2.99584e-03 +[2025-03-25 04:44:37,219 INFO hook.py line 566 195048] Train: [8/100][150/400] Data 0.002 (0.003) Batch 0.194 (0.199) Remain 02:03:04 loss: 0.9306 Lr: 2.99537e-03 +[2025-03-25 04:44:47,299 INFO hook.py line 566 195048] Train: [8/100][200/400] Data 0.003 (0.003) Batch 0.210 (0.200) Remain 02:03:16 loss: 1.0386 Lr: 2.99487e-03 +[2025-03-25 04:44:57,170 INFO hook.py line 566 195048] Train: [8/100][250/400] Data 0.003 (0.003) Batch 0.199 (0.199) Remain 02:02:47 loss: 0.9976 Lr: 2.99434e-03 +[2025-03-25 04:45:06,943 INFO hook.py line 566 195048] Train: [8/100][300/400] Data 0.002 (0.003) Batch 0.195 (0.199) Remain 02:02:13 loss: 1.2401 Lr: 2.99379e-03 +[2025-03-25 04:45:16,869 INFO hook.py line 566 195048] Train: [8/100][350/400] Data 0.003 (0.003) Batch 0.204 (0.199) Remain 02:02:02 loss: 1.0607 Lr: 2.99321e-03 +[2025-03-25 04:45:25,823 INFO hook.py line 566 195048] Train: [8/100][400/400] Data 0.001 (0.003) Batch 0.146 (0.196) Remain 02:00:21 loss: 0.9695 Lr: 2.99261e-03 +[2025-03-25 04:45:25,824 INFO misc.py line 135 195048] Train result: loss: 0.9645 +[2025-03-25 04:45:25,915 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:45:36,518 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3886 +[2025-03-25 04:45:37,027 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7288 +[2025-03-25 04:45:37,061 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5767 +[2025-03-25 04:45:37,103 INFO hook.py line 748 195048] Test: [4/78] Loss 0.7955 +[2025-03-25 04:45:37,134 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5420 +[2025-03-25 04:45:37,184 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6103 +[2025-03-25 04:45:37,231 INFO hook.py line 748 195048] Test: [7/78] Loss 0.8681 +[2025-03-25 04:45:37,254 INFO hook.py line 748 195048] Test: [8/78] Loss 0.6060 +[2025-03-25 04:45:37,300 INFO hook.py line 748 195048] Test: [9/78] Loss 0.8206 +[2025-03-25 04:45:37,330 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8671 +[2025-03-25 04:45:37,373 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7200 +[2025-03-25 04:45:37,402 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1125 +[2025-03-25 04:45:37,445 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8799 +[2025-03-25 04:45:37,479 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8965 +[2025-03-25 04:45:37,512 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0008 +[2025-03-25 04:45:37,554 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2318 +[2025-03-25 04:45:37,589 INFO hook.py line 748 195048] Test: [17/78] Loss 0.9482 +[2025-03-25 04:45:37,618 INFO hook.py line 748 195048] Test: [18/78] Loss 1.2767 +[2025-03-25 04:45:37,659 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4758 +[2025-03-25 04:45:37,686 INFO hook.py line 748 195048] Test: [20/78] Loss 0.8945 +[2025-03-25 04:45:37,719 INFO hook.py line 748 195048] Test: [21/78] Loss 0.4001 +[2025-03-25 04:45:37,755 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3279 +[2025-03-25 04:45:37,788 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0700 +[2025-03-25 04:45:37,830 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8545 +[2025-03-25 04:45:37,869 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8614 +[2025-03-25 04:45:37,908 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8044 +[2025-03-25 04:45:37,958 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2085 +[2025-03-25 04:45:37,986 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5703 +[2025-03-25 04:45:38,012 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3578 +[2025-03-25 04:45:38,060 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7966 +[2025-03-25 04:45:38,116 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5916 +[2025-03-25 04:45:38,148 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6385 +[2025-03-25 04:45:38,200 INFO hook.py line 748 195048] Test: [33/78] Loss 0.6669 +[2025-03-25 04:45:38,239 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9761 +[2025-03-25 04:45:38,273 INFO hook.py line 748 195048] Test: [35/78] Loss 0.7631 +[2025-03-25 04:45:38,305 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9917 +[2025-03-25 04:45:38,337 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7729 +[2025-03-25 04:45:38,365 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5175 +[2025-03-25 04:45:38,420 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7222 +[2025-03-25 04:45:38,462 INFO hook.py line 748 195048] Test: [40/78] Loss 1.3654 +[2025-03-25 04:45:38,500 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2287 +[2025-03-25 04:45:38,524 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2955 +[2025-03-25 04:45:38,557 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3713 +[2025-03-25 04:45:38,609 INFO hook.py line 748 195048] Test: [44/78] Loss 0.9499 +[2025-03-25 04:45:38,641 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6616 +[2025-03-25 04:45:38,682 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7203 +[2025-03-25 04:45:38,726 INFO hook.py line 748 195048] Test: [47/78] Loss 1.5012 +[2025-03-25 04:45:38,759 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7796 +[2025-03-25 04:45:38,791 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5081 +[2025-03-25 04:45:38,823 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9866 +[2025-03-25 04:45:38,857 INFO hook.py line 748 195048] Test: [51/78] Loss 1.3660 +[2025-03-25 04:45:38,895 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0350 +[2025-03-25 04:45:38,919 INFO hook.py line 748 195048] Test: [53/78] Loss 0.8168 +[2025-03-25 04:45:38,957 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5662 +[2025-03-25 04:45:38,993 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1913 +[2025-03-25 04:45:39,028 INFO hook.py line 748 195048] Test: [56/78] Loss 0.6603 +[2025-03-25 04:45:39,057 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0880 +[2025-03-25 04:45:39,081 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8738 +[2025-03-25 04:45:39,115 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8447 +[2025-03-25 04:45:39,143 INFO hook.py line 748 195048] Test: [60/78] Loss 1.0406 +[2025-03-25 04:45:39,163 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6553 +[2025-03-25 04:45:39,192 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7692 +[2025-03-25 04:45:39,224 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3027 +[2025-03-25 04:45:39,274 INFO hook.py line 748 195048] Test: [64/78] Loss 1.9433 +[2025-03-25 04:45:39,297 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2026 +[2025-03-25 04:45:39,334 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9013 +[2025-03-25 04:45:39,368 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6652 +[2025-03-25 04:45:39,397 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0145 +[2025-03-25 04:45:39,423 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4368 +[2025-03-25 04:45:39,475 INFO hook.py line 748 195048] Test: [70/78] Loss 0.7910 +[2025-03-25 04:45:39,513 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9601 +[2025-03-25 04:45:39,559 INFO hook.py line 748 195048] Test: [72/78] Loss 0.8417 +[2025-03-25 04:45:39,602 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8311 +[2025-03-25 04:45:39,639 INFO hook.py line 748 195048] Test: [74/78] Loss 2.4817 +[2025-03-25 04:45:39,685 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6594 +[2025-03-25 04:45:39,710 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1901 +[2025-03-25 04:45:39,760 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8186 +[2025-03-25 04:45:39,783 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8136 +[2025-03-25 04:45:40,792 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:45:40,793 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:45:40,793 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:45:40,793 INFO hook.py line 689 195048] wall : 0.7386 0.8314 +[2025-03-25 04:45:40,793 INFO hook.py line 689 195048] floor : 0.9523 0.9840 +[2025-03-25 04:45:40,793 INFO hook.py line 689 195048] cabinet : 0.4663 0.5768 +[2025-03-25 04:45:40,793 INFO hook.py line 689 195048] bed : 0.6651 0.8117 +[2025-03-25 04:45:40,793 INFO hook.py line 689 195048] chair : 0.8426 0.9120 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] sofa : 0.7217 0.8165 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] table : 0.5878 0.7107 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] door : 0.4549 0.7020 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] window : 0.4215 0.5339 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] bookshelf : 0.6150 0.8785 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] picture : 0.1792 0.4906 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] counter : 0.5389 0.7399 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] desk : 0.4918 0.7930 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] curtain : 0.5284 0.6352 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] refridgerator : 0.2463 0.5052 +[2025-03-25 04:45:40,794 INFO hook.py line 689 195048] shower curtain : 0.5022 0.5899 +[2025-03-25 04:45:40,795 INFO hook.py line 689 195048] toilet : 0.7866 0.9595 +[2025-03-25 04:45:40,795 INFO hook.py line 689 195048] sink : 0.5498 0.7012 +[2025-03-25 04:45:40,795 INFO hook.py line 689 195048] bathtub : 0.7434 0.9182 +[2025-03-25 04:45:40,795 INFO hook.py line 689 195048] otherfurniture : 0.3911 0.5022 +[2025-03-25 04:45:40,795 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:45:40,795 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5712/0.7296/0.8269. +[2025-03-25 04:45:40,796 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:45:40,806 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.5712 +[2025-03-25 04:45:40,807 INFO misc.py line 164 195048] Currently Best mIoU: 0.5712 +[2025-03-25 04:45:40,807 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:45:54,643 INFO hook.py line 566 195048] Train: [9/100][50/400] Data 0.003 (0.003) Batch 0.205 (0.201) Remain 02:02:54 loss: 1.4511 Lr: 2.99199e-03 +[2025-03-25 04:46:04,554 INFO hook.py line 566 195048] Train: [9/100][100/400] Data 0.003 (0.003) Batch 0.203 (0.199) Remain 02:01:58 loss: 0.8127 Lr: 2.99133e-03 +[2025-03-25 04:46:14,535 INFO hook.py line 566 195048] Train: [9/100][150/400] Data 0.004 (0.003) Batch 0.213 (0.199) Remain 02:01:51 loss: 0.6858 Lr: 2.99065e-03 +[2025-03-25 04:46:24,565 INFO hook.py line 566 195048] Train: [9/100][200/400] Data 0.003 (0.003) Batch 0.219 (0.200) Remain 02:01:51 loss: 0.9366 Lr: 2.98995e-03 +[2025-03-25 04:46:34,434 INFO hook.py line 566 195048] Train: [9/100][250/400] Data 0.003 (0.003) Batch 0.180 (0.199) Remain 02:01:23 loss: 0.7161 Lr: 2.98922e-03 +[2025-03-25 04:46:44,714 INFO hook.py line 566 195048] Train: [9/100][300/400] Data 0.003 (0.003) Batch 0.188 (0.200) Remain 02:01:52 loss: 0.8340 Lr: 2.98847e-03 +[2025-03-25 04:46:54,582 INFO hook.py line 566 195048] Train: [9/100][350/400] Data 0.003 (0.003) Batch 0.192 (0.200) Remain 02:01:26 loss: 0.7812 Lr: 2.98769e-03 +[2025-03-25 04:47:03,413 INFO hook.py line 566 195048] Train: [9/100][400/400] Data 0.001 (0.003) Batch 0.149 (0.197) Remain 01:59:30 loss: 0.9170 Lr: 2.98688e-03 +[2025-03-25 04:47:03,413 INFO misc.py line 135 195048] Train result: loss: 0.9167 +[2025-03-25 04:47:03,505 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:47:13,829 INFO hook.py line 748 195048] Test: [1/78] Loss 0.4364 +[2025-03-25 04:47:14,019 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8730 +[2025-03-25 04:47:14,531 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4935 +[2025-03-25 04:47:14,583 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6207 +[2025-03-25 04:47:14,615 INFO hook.py line 748 195048] Test: [5/78] Loss 0.9074 +[2025-03-25 04:47:14,664 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4299 +[2025-03-25 04:47:14,711 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7885 +[2025-03-25 04:47:14,734 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4927 +[2025-03-25 04:47:14,776 INFO hook.py line 748 195048] Test: [9/78] Loss 1.5892 +[2025-03-25 04:47:14,807 INFO hook.py line 748 195048] Test: [10/78] Loss 1.2899 +[2025-03-25 04:47:14,848 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5525 +[2025-03-25 04:47:14,880 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1607 +[2025-03-25 04:47:14,924 INFO hook.py line 748 195048] Test: [13/78] Loss 1.6498 +[2025-03-25 04:47:14,956 INFO hook.py line 748 195048] Test: [14/78] Loss 1.5930 +[2025-03-25 04:47:14,989 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9559 +[2025-03-25 04:47:15,029 INFO hook.py line 748 195048] Test: [16/78] Loss 0.5689 +[2025-03-25 04:47:15,068 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8931 +[2025-03-25 04:47:15,107 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9665 +[2025-03-25 04:47:15,148 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1436 +[2025-03-25 04:47:15,176 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1206 +[2025-03-25 04:47:15,208 INFO hook.py line 748 195048] Test: [21/78] Loss 0.5233 +[2025-03-25 04:47:15,261 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4887 +[2025-03-25 04:47:15,294 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0543 +[2025-03-25 04:47:15,334 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1181 +[2025-03-25 04:47:15,372 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1560 +[2025-03-25 04:47:15,407 INFO hook.py line 748 195048] Test: [26/78] Loss 0.9154 +[2025-03-25 04:47:15,453 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2498 +[2025-03-25 04:47:15,484 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5090 +[2025-03-25 04:47:15,509 INFO hook.py line 748 195048] Test: [29/78] Loss 0.5256 +[2025-03-25 04:47:15,558 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7049 +[2025-03-25 04:47:15,615 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6659 +[2025-03-25 04:47:15,646 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7774 +[2025-03-25 04:47:15,693 INFO hook.py line 748 195048] Test: [33/78] Loss 0.6034 +[2025-03-25 04:47:15,726 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1195 +[2025-03-25 04:47:15,759 INFO hook.py line 748 195048] Test: [35/78] Loss 0.8026 +[2025-03-25 04:47:15,789 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2644 +[2025-03-25 04:47:15,823 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5915 +[2025-03-25 04:47:15,853 INFO hook.py line 748 195048] Test: [38/78] Loss 0.6427 +[2025-03-25 04:47:15,907 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6735 +[2025-03-25 04:47:15,959 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6469 +[2025-03-25 04:47:15,996 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1054 +[2025-03-25 04:47:16,022 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3893 +[2025-03-25 04:47:16,052 INFO hook.py line 748 195048] Test: [43/78] Loss 0.5374 +[2025-03-25 04:47:16,104 INFO hook.py line 748 195048] Test: [44/78] Loss 1.0071 +[2025-03-25 04:47:16,135 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7056 +[2025-03-25 04:47:16,176 INFO hook.py line 748 195048] Test: [46/78] Loss 1.1748 +[2025-03-25 04:47:16,210 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7165 +[2025-03-25 04:47:16,241 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7604 +[2025-03-25 04:47:16,271 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6524 +[2025-03-25 04:47:16,303 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2643 +[2025-03-25 04:47:16,331 INFO hook.py line 748 195048] Test: [51/78] Loss 0.9191 +[2025-03-25 04:47:16,370 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0330 +[2025-03-25 04:47:16,397 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6718 +[2025-03-25 04:47:16,427 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8062 +[2025-03-25 04:47:16,461 INFO hook.py line 748 195048] Test: [55/78] Loss 0.3400 +[2025-03-25 04:47:16,496 INFO hook.py line 748 195048] Test: [56/78] Loss 0.7019 +[2025-03-25 04:47:16,524 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0295 +[2025-03-25 04:47:16,546 INFO hook.py line 748 195048] Test: [58/78] Loss 1.0091 +[2025-03-25 04:47:16,581 INFO hook.py line 748 195048] Test: [59/78] Loss 1.0946 +[2025-03-25 04:47:16,609 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7807 +[2025-03-25 04:47:16,629 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6603 +[2025-03-25 04:47:16,658 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7649 +[2025-03-25 04:47:16,689 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1758 +[2025-03-25 04:47:16,740 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8193 +[2025-03-25 04:47:16,763 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2960 +[2025-03-25 04:47:16,800 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7075 +[2025-03-25 04:47:16,834 INFO hook.py line 748 195048] Test: [67/78] Loss 0.8076 +[2025-03-25 04:47:16,863 INFO hook.py line 748 195048] Test: [68/78] Loss 1.6388 +[2025-03-25 04:47:16,889 INFO hook.py line 748 195048] Test: [69/78] Loss 0.5350 +[2025-03-25 04:47:16,940 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3331 +[2025-03-25 04:47:16,978 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0250 +[2025-03-25 04:47:17,025 INFO hook.py line 748 195048] Test: [72/78] Loss 0.8542 +[2025-03-25 04:47:17,069 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6781 +[2025-03-25 04:47:17,106 INFO hook.py line 748 195048] Test: [74/78] Loss 1.7154 +[2025-03-25 04:47:17,153 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6577 +[2025-03-25 04:47:17,178 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0629 +[2025-03-25 04:47:17,227 INFO hook.py line 748 195048] Test: [77/78] Loss 1.2468 +[2025-03-25 04:47:17,250 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7440 +[2025-03-25 04:47:18,260 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:47:18,261 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:47:18,261 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:47:18,261 INFO hook.py line 689 195048] wall : 0.7264 0.7960 +[2025-03-25 04:47:18,261 INFO hook.py line 689 195048] floor : 0.9211 0.9385 +[2025-03-25 04:47:18,261 INFO hook.py line 689 195048] cabinet : 0.4134 0.7216 +[2025-03-25 04:47:18,261 INFO hook.py line 689 195048] bed : 0.5039 0.8085 +[2025-03-25 04:47:18,261 INFO hook.py line 689 195048] chair : 0.8192 0.8894 +[2025-03-25 04:47:18,261 INFO hook.py line 689 195048] sofa : 0.6523 0.8858 +[2025-03-25 04:47:18,261 INFO hook.py line 689 195048] table : 0.6263 0.7944 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] door : 0.4529 0.6495 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] window : 0.4105 0.6076 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] bookshelf : 0.5825 0.9224 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] picture : 0.2095 0.3582 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] counter : 0.3711 0.4090 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] desk : 0.4392 0.5279 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] curtain : 0.5114 0.7060 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] refridgerator : 0.3202 0.4657 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] shower curtain : 0.3130 0.8800 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] toilet : 0.8920 0.9386 +[2025-03-25 04:47:18,262 INFO hook.py line 689 195048] sink : 0.5714 0.6944 +[2025-03-25 04:47:18,263 INFO hook.py line 689 195048] bathtub : 0.6611 0.9599 +[2025-03-25 04:47:18,263 INFO hook.py line 689 195048] otherfurniture : 0.3609 0.4501 +[2025-03-25 04:47:18,263 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:47:18,263 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5379/0.7202/0.8062. +[2025-03-25 04:47:18,264 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:47:18,277 INFO misc.py line 164 195048] Currently Best mIoU: 0.5712 +[2025-03-25 04:47:18,278 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:47:31,662 INFO hook.py line 566 195048] Train: [10/100][50/400] Data 0.003 (0.003) Batch 0.200 (0.201) Remain 02:01:32 loss: 0.4504 Lr: 2.98605e-03 +[2025-03-25 04:47:41,421 INFO hook.py line 566 195048] Train: [10/100][100/400] Data 0.002 (0.003) Batch 0.198 (0.198) Remain 01:59:40 loss: 1.4470 Lr: 2.98519e-03 +[2025-03-25 04:47:51,373 INFO hook.py line 566 195048] Train: [10/100][150/400] Data 0.002 (0.003) Batch 0.175 (0.198) Remain 01:59:46 loss: 1.4089 Lr: 2.98431e-03 +[2025-03-25 04:48:01,358 INFO hook.py line 566 195048] Train: [10/100][200/400] Data 0.002 (0.003) Batch 0.192 (0.199) Remain 01:59:49 loss: 1.0148 Lr: 2.98341e-03 +[2025-03-25 04:48:11,424 INFO hook.py line 566 195048] Train: [10/100][250/400] Data 0.003 (0.003) Batch 0.193 (0.199) Remain 01:59:59 loss: 0.8816 Lr: 2.98247e-03 +[2025-03-25 04:48:21,485 INFO hook.py line 566 195048] Train: [10/100][300/400] Data 0.004 (0.003) Batch 0.217 (0.199) Remain 02:00:01 loss: 0.6421 Lr: 2.98151e-03 +[2025-03-25 04:48:31,541 INFO hook.py line 566 195048] Train: [10/100][350/400] Data 0.003 (0.003) Batch 0.210 (0.200) Remain 02:00:00 loss: 0.7156 Lr: 2.98053e-03 +[2025-03-25 04:48:40,454 INFO hook.py line 566 195048] Train: [10/100][400/400] Data 0.001 (0.003) Batch 0.154 (0.197) Remain 01:58:13 loss: 1.1037 Lr: 2.97952e-03 +[2025-03-25 04:48:40,454 INFO misc.py line 135 195048] Train result: loss: 0.8888 +[2025-03-25 04:48:40,536 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:48:50,818 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2323 +[2025-03-25 04:48:51,050 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6910 +[2025-03-25 04:48:51,088 INFO hook.py line 748 195048] Test: [3/78] Loss 0.6025 +[2025-03-25 04:48:51,395 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6031 +[2025-03-25 04:48:51,660 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6417 +[2025-03-25 04:48:51,707 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7537 +[2025-03-25 04:48:51,843 INFO hook.py line 748 195048] Test: [7/78] Loss 1.0247 +[2025-03-25 04:48:51,866 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4399 +[2025-03-25 04:48:51,905 INFO hook.py line 748 195048] Test: [9/78] Loss 1.2412 +[2025-03-25 04:48:51,936 INFO hook.py line 748 195048] Test: [10/78] Loss 1.3945 +[2025-03-25 04:48:51,980 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6112 +[2025-03-25 04:48:52,008 INFO hook.py line 748 195048] Test: [12/78] Loss 0.8822 +[2025-03-25 04:48:52,051 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5029 +[2025-03-25 04:48:52,086 INFO hook.py line 748 195048] Test: [14/78] Loss 1.5940 +[2025-03-25 04:48:52,120 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4405 +[2025-03-25 04:48:52,162 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2935 +[2025-03-25 04:48:52,198 INFO hook.py line 748 195048] Test: [17/78] Loss 0.9015 +[2025-03-25 04:48:52,230 INFO hook.py line 748 195048] Test: [18/78] Loss 1.1426 +[2025-03-25 04:48:52,271 INFO hook.py line 748 195048] Test: [19/78] Loss 0.7218 +[2025-03-25 04:48:52,299 INFO hook.py line 748 195048] Test: [20/78] Loss 0.9150 +[2025-03-25 04:48:52,339 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3480 +[2025-03-25 04:48:52,377 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3058 +[2025-03-25 04:48:52,404 INFO hook.py line 748 195048] Test: [23/78] Loss 1.2665 +[2025-03-25 04:48:52,443 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0969 +[2025-03-25 04:48:52,483 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2816 +[2025-03-25 04:48:52,521 INFO hook.py line 748 195048] Test: [26/78] Loss 0.9309 +[2025-03-25 04:48:52,569 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1525 +[2025-03-25 04:48:52,598 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5763 +[2025-03-25 04:48:52,624 INFO hook.py line 748 195048] Test: [29/78] Loss 0.4369 +[2025-03-25 04:48:52,676 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7955 +[2025-03-25 04:48:52,730 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5179 +[2025-03-25 04:48:52,763 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5595 +[2025-03-25 04:48:52,810 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3645 +[2025-03-25 04:48:52,845 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0424 +[2025-03-25 04:48:52,881 INFO hook.py line 748 195048] Test: [35/78] Loss 0.7358 +[2025-03-25 04:48:52,913 INFO hook.py line 748 195048] Test: [36/78] Loss 1.6899 +[2025-03-25 04:48:52,948 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6043 +[2025-03-25 04:48:52,978 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5816 +[2025-03-25 04:48:53,033 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6973 +[2025-03-25 04:48:53,075 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6219 +[2025-03-25 04:48:53,114 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8147 +[2025-03-25 04:48:53,139 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2890 +[2025-03-25 04:48:53,172 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2744 +[2025-03-25 04:48:53,223 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6812 +[2025-03-25 04:48:53,259 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7015 +[2025-03-25 04:48:53,301 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6198 +[2025-03-25 04:48:53,336 INFO hook.py line 748 195048] Test: [47/78] Loss 2.1136 +[2025-03-25 04:48:53,367 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7669 +[2025-03-25 04:48:53,399 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3783 +[2025-03-25 04:48:53,432 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2241 +[2025-03-25 04:48:53,459 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8193 +[2025-03-25 04:48:53,497 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9822 +[2025-03-25 04:48:53,524 INFO hook.py line 748 195048] Test: [53/78] Loss 0.8215 +[2025-03-25 04:48:53,559 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6574 +[2025-03-25 04:48:53,594 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0956 +[2025-03-25 04:48:53,630 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3981 +[2025-03-25 04:48:53,659 INFO hook.py line 748 195048] Test: [57/78] Loss 1.3731 +[2025-03-25 04:48:53,683 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5987 +[2025-03-25 04:48:53,718 INFO hook.py line 748 195048] Test: [59/78] Loss 1.2347 +[2025-03-25 04:48:53,746 INFO hook.py line 748 195048] Test: [60/78] Loss 0.8223 +[2025-03-25 04:48:53,766 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8613 +[2025-03-25 04:48:53,795 INFO hook.py line 748 195048] Test: [62/78] Loss 0.8483 +[2025-03-25 04:48:53,827 INFO hook.py line 748 195048] Test: [63/78] Loss 0.9843 +[2025-03-25 04:48:53,877 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6185 +[2025-03-25 04:48:53,902 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1740 +[2025-03-25 04:48:53,939 INFO hook.py line 748 195048] Test: [66/78] Loss 1.6805 +[2025-03-25 04:48:53,973 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4823 +[2025-03-25 04:48:54,002 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2313 +[2025-03-25 04:48:54,028 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3763 +[2025-03-25 04:48:54,081 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3692 +[2025-03-25 04:48:54,118 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9083 +[2025-03-25 04:48:54,164 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5188 +[2025-03-25 04:48:54,207 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5879 +[2025-03-25 04:48:54,244 INFO hook.py line 748 195048] Test: [74/78] Loss 2.6723 +[2025-03-25 04:48:54,290 INFO hook.py line 748 195048] Test: [75/78] Loss 0.4712 +[2025-03-25 04:48:54,315 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0529 +[2025-03-25 04:48:54,364 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4887 +[2025-03-25 04:48:54,387 INFO hook.py line 748 195048] Test: [78/78] Loss 0.4857 +[2025-03-25 04:48:55,361 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:48:55,362 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:48:55,362 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] wall : 0.7698 0.8824 +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] floor : 0.9421 0.9745 +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] cabinet : 0.4871 0.5415 +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] bed : 0.5921 0.8647 +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] chair : 0.8471 0.9034 +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] sofa : 0.7556 0.8601 +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] table : 0.5617 0.8770 +[2025-03-25 04:48:55,362 INFO hook.py line 689 195048] door : 0.5010 0.6037 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] window : 0.4664 0.5962 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] bookshelf : 0.5084 0.9496 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] picture : 0.2411 0.4571 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] counter : 0.5017 0.6007 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] desk : 0.1748 0.1874 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] curtain : 0.5699 0.7079 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] refridgerator : 0.4134 0.5071 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] shower curtain : 0.5772 0.6440 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] toilet : 0.7262 0.9553 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] sink : 0.5135 0.5618 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] bathtub : 0.7423 0.9417 +[2025-03-25 04:48:55,363 INFO hook.py line 689 195048] otherfurniture : 0.3452 0.4099 +[2025-03-25 04:48:55,363 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:48:55,363 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5618/0.7013/0.8317. +[2025-03-25 04:48:55,363 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:48:55,372 INFO misc.py line 164 195048] Currently Best mIoU: 0.5712 +[2025-03-25 04:48:55,372 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:49:09,631 INFO hook.py line 566 195048] Train: [11/100][50/400] Data 0.002 (0.003) Batch 0.196 (0.207) Remain 02:04:13 loss: 0.9666 Lr: 2.97849e-03 +[2025-03-25 04:49:19,466 INFO hook.py line 566 195048] Train: [11/100][100/400] Data 0.004 (0.003) Batch 0.189 (0.202) Remain 02:00:46 loss: 0.8045 Lr: 2.97743e-03 +[2025-03-25 04:49:29,375 INFO hook.py line 566 195048] Train: [11/100][150/400] Data 0.004 (0.003) Batch 0.183 (0.201) Remain 01:59:51 loss: 0.8516 Lr: 2.97635e-03 +[2025-03-25 04:49:39,273 INFO hook.py line 566 195048] Train: [11/100][200/400] Data 0.003 (0.003) Batch 0.203 (0.200) Remain 01:59:17 loss: 0.6895 Lr: 2.97524e-03 +[2025-03-25 04:49:49,024 INFO hook.py line 566 195048] Train: [11/100][250/400] Data 0.003 (0.003) Batch 0.199 (0.199) Remain 01:58:31 loss: 0.7089 Lr: 2.97410e-03 +[2025-03-25 04:49:58,943 INFO hook.py line 566 195048] Train: [11/100][300/400] Data 0.002 (0.003) Batch 0.192 (0.199) Remain 01:58:18 loss: 1.1812 Lr: 2.97294e-03 +[2025-03-25 04:50:08,943 INFO hook.py line 566 195048] Train: [11/100][350/400] Data 0.002 (0.003) Batch 0.188 (0.199) Remain 01:58:14 loss: 0.9366 Lr: 2.97176e-03 +[2025-03-25 04:50:18,038 INFO hook.py line 566 195048] Train: [11/100][400/400] Data 0.001 (0.003) Batch 0.155 (0.197) Remain 01:56:48 loss: 0.7728 Lr: 2.97057e-03 +[2025-03-25 04:50:18,039 INFO misc.py line 135 195048] Train result: loss: 0.8723 +[2025-03-25 04:50:18,129 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:50:28,522 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2722 +[2025-03-25 04:50:28,722 INFO hook.py line 748 195048] Test: [2/78] Loss 1.0544 +[2025-03-25 04:50:29,195 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4605 +[2025-03-25 04:50:29,241 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5343 +[2025-03-25 04:50:29,284 INFO hook.py line 748 195048] Test: [5/78] Loss 0.7370 +[2025-03-25 04:50:29,345 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4364 +[2025-03-25 04:50:29,392 INFO hook.py line 748 195048] Test: [7/78] Loss 0.9127 +[2025-03-25 04:50:29,417 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5922 +[2025-03-25 04:50:29,459 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0218 +[2025-03-25 04:50:29,493 INFO hook.py line 748 195048] Test: [10/78] Loss 1.2158 +[2025-03-25 04:50:29,536 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5885 +[2025-03-25 04:50:29,566 INFO hook.py line 748 195048] Test: [12/78] Loss 1.4952 +[2025-03-25 04:50:29,608 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9565 +[2025-03-25 04:50:29,643 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8816 +[2025-03-25 04:50:29,675 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0758 +[2025-03-25 04:50:29,717 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2316 +[2025-03-25 04:50:29,753 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8389 +[2025-03-25 04:50:29,786 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7763 +[2025-03-25 04:50:29,826 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4442 +[2025-03-25 04:50:29,853 INFO hook.py line 748 195048] Test: [20/78] Loss 0.6630 +[2025-03-25 04:50:29,886 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3778 +[2025-03-25 04:50:29,922 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6251 +[2025-03-25 04:50:29,947 INFO hook.py line 748 195048] Test: [23/78] Loss 1.2230 +[2025-03-25 04:50:29,988 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7218 +[2025-03-25 04:50:30,027 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1693 +[2025-03-25 04:50:30,064 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5398 +[2025-03-25 04:50:30,110 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5742 +[2025-03-25 04:50:30,139 INFO hook.py line 748 195048] Test: [28/78] Loss 0.8358 +[2025-03-25 04:50:30,174 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3007 +[2025-03-25 04:50:30,221 INFO hook.py line 748 195048] Test: [30/78] Loss 0.8043 +[2025-03-25 04:50:30,278 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4591 +[2025-03-25 04:50:30,309 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5867 +[2025-03-25 04:50:30,356 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3627 +[2025-03-25 04:50:30,391 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1951 +[2025-03-25 04:50:30,429 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3316 +[2025-03-25 04:50:30,460 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9117 +[2025-03-25 04:50:30,495 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5156 +[2025-03-25 04:50:30,524 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4270 +[2025-03-25 04:50:30,578 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5760 +[2025-03-25 04:50:30,619 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7285 +[2025-03-25 04:50:30,657 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9321 +[2025-03-25 04:50:30,686 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3356 +[2025-03-25 04:50:30,721 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2903 +[2025-03-25 04:50:30,772 INFO hook.py line 748 195048] Test: [44/78] Loss 1.2777 +[2025-03-25 04:50:30,800 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6497 +[2025-03-25 04:50:30,841 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8504 +[2025-03-25 04:50:30,877 INFO hook.py line 748 195048] Test: [47/78] Loss 2.3099 +[2025-03-25 04:50:30,910 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8327 +[2025-03-25 04:50:30,941 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4281 +[2025-03-25 04:50:30,974 INFO hook.py line 748 195048] Test: [50/78] Loss 0.7645 +[2025-03-25 04:50:31,004 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2395 +[2025-03-25 04:50:31,040 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0265 +[2025-03-25 04:50:31,065 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3003 +[2025-03-25 04:50:31,105 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4688 +[2025-03-25 04:50:31,142 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1144 +[2025-03-25 04:50:31,177 INFO hook.py line 748 195048] Test: [56/78] Loss 0.4159 +[2025-03-25 04:50:31,206 INFO hook.py line 748 195048] Test: [57/78] Loss 1.3807 +[2025-03-25 04:50:31,229 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8721 +[2025-03-25 04:50:31,264 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7591 +[2025-03-25 04:50:31,292 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9411 +[2025-03-25 04:50:31,312 INFO hook.py line 748 195048] Test: [61/78] Loss 1.0214 +[2025-03-25 04:50:31,341 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5651 +[2025-03-25 04:50:31,373 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2150 +[2025-03-25 04:50:31,423 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7955 +[2025-03-25 04:50:31,446 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3554 +[2025-03-25 04:50:31,483 INFO hook.py line 748 195048] Test: [66/78] Loss 1.1938 +[2025-03-25 04:50:31,517 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6593 +[2025-03-25 04:50:31,545 INFO hook.py line 748 195048] Test: [68/78] Loss 0.8063 +[2025-03-25 04:50:31,571 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3772 +[2025-03-25 04:50:31,623 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2835 +[2025-03-25 04:50:31,661 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2000 +[2025-03-25 04:50:31,706 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7744 +[2025-03-25 04:50:31,750 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8244 +[2025-03-25 04:50:31,787 INFO hook.py line 748 195048] Test: [74/78] Loss 2.4407 +[2025-03-25 04:50:31,832 INFO hook.py line 748 195048] Test: [75/78] Loss 0.4681 +[2025-03-25 04:50:31,857 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7262 +[2025-03-25 04:50:31,906 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7748 +[2025-03-25 04:50:31,929 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7252 +[2025-03-25 04:50:32,958 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:50:32,959 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:50:32,959 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:50:32,959 INFO hook.py line 689 195048] wall : 0.7526 0.8387 +[2025-03-25 04:50:32,959 INFO hook.py line 689 195048] floor : 0.9548 0.9749 +[2025-03-25 04:50:32,959 INFO hook.py line 689 195048] cabinet : 0.4450 0.5294 +[2025-03-25 04:50:32,959 INFO hook.py line 689 195048] bed : 0.7255 0.7717 +[2025-03-25 04:50:32,959 INFO hook.py line 689 195048] chair : 0.8395 0.9384 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] sofa : 0.7661 0.8219 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] table : 0.6186 0.7099 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] door : 0.4645 0.5621 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] window : 0.3885 0.7407 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] bookshelf : 0.5877 0.8960 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] picture : 0.2117 0.3079 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] counter : 0.5614 0.6822 +[2025-03-25 04:50:32,960 INFO hook.py line 689 195048] desk : 0.4943 0.8613 +[2025-03-25 04:50:32,961 INFO hook.py line 689 195048] curtain : 0.5217 0.6763 +[2025-03-25 04:50:32,961 INFO hook.py line 689 195048] refridgerator : 0.3772 0.5091 +[2025-03-25 04:50:32,961 INFO hook.py line 689 195048] shower curtain : 0.4538 0.8125 +[2025-03-25 04:50:32,961 INFO hook.py line 689 195048] toilet : 0.9033 0.9358 +[2025-03-25 04:50:32,961 INFO hook.py line 689 195048] sink : 0.5647 0.7642 +[2025-03-25 04:50:32,961 INFO hook.py line 689 195048] bathtub : 0.7824 0.8611 +[2025-03-25 04:50:32,961 INFO hook.py line 689 195048] otherfurniture : 0.3939 0.5682 +[2025-03-25 04:50:32,961 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:50:32,961 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5904/0.7381/0.8314. +[2025-03-25 04:50:32,962 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:50:32,973 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.5904 +[2025-03-25 04:50:32,973 INFO misc.py line 164 195048] Currently Best mIoU: 0.5904 +[2025-03-25 04:50:32,973 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:50:46,630 INFO hook.py line 566 195048] Train: [12/100][50/400] Data 0.004 (0.003) Batch 0.199 (0.199) Remain 01:58:09 loss: 0.6607 Lr: 2.96934e-03 +[2025-03-25 04:50:56,656 INFO hook.py line 566 195048] Train: [12/100][100/400] Data 0.004 (0.003) Batch 0.206 (0.200) Remain 01:58:19 loss: 0.7407 Lr: 2.96808e-03 +[2025-03-25 04:51:06,595 INFO hook.py line 566 195048] Train: [12/100][150/400] Data 0.003 (0.003) Batch 0.196 (0.200) Remain 01:57:55 loss: 0.8086 Lr: 2.96679e-03 +[2025-03-25 04:51:16,486 INFO hook.py line 566 195048] Train: [12/100][200/400] Data 0.003 (0.003) Batch 0.185 (0.199) Remain 01:57:29 loss: 0.8324 Lr: 2.96548e-03 +[2025-03-25 04:51:26,721 INFO hook.py line 566 195048] Train: [12/100][250/400] Data 0.002 (0.003) Batch 0.184 (0.200) Remain 01:57:58 loss: 0.6804 Lr: 2.96415e-03 +[2025-03-25 04:51:36,682 INFO hook.py line 566 195048] Train: [12/100][300/400] Data 0.002 (0.003) Batch 0.188 (0.200) Remain 01:57:42 loss: 0.5584 Lr: 2.96279e-03 +[2025-03-25 04:51:46,622 INFO hook.py line 566 195048] Train: [12/100][350/400] Data 0.003 (0.003) Batch 0.208 (0.200) Remain 01:57:26 loss: 0.6762 Lr: 2.96140e-03 +[2025-03-25 04:51:55,779 INFO hook.py line 566 195048] Train: [12/100][400/400] Data 0.001 (0.003) Batch 0.156 (0.198) Remain 01:56:02 loss: 1.0461 Lr: 2.95999e-03 +[2025-03-25 04:51:55,779 INFO misc.py line 135 195048] Train result: loss: 0.8449 +[2025-03-25 04:51:55,872 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:52:06,130 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3506 +[2025-03-25 04:52:06,379 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6517 +[2025-03-25 04:52:07,080 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5247 +[2025-03-25 04:52:07,121 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5865 +[2025-03-25 04:52:07,156 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4758 +[2025-03-25 04:52:07,208 INFO hook.py line 748 195048] Test: [6/78] Loss 1.1712 +[2025-03-25 04:52:07,255 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5617 +[2025-03-25 04:52:07,283 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3934 +[2025-03-25 04:52:07,346 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1794 +[2025-03-25 04:52:07,377 INFO hook.py line 748 195048] Test: [10/78] Loss 1.1051 +[2025-03-25 04:52:07,419 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7408 +[2025-03-25 04:52:07,447 INFO hook.py line 748 195048] Test: [12/78] Loss 0.8584 +[2025-03-25 04:52:07,490 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9061 +[2025-03-25 04:52:07,525 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0272 +[2025-03-25 04:52:07,558 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6414 +[2025-03-25 04:52:07,599 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2190 +[2025-03-25 04:52:07,635 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8961 +[2025-03-25 04:52:07,663 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7158 +[2025-03-25 04:52:07,704 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0104 +[2025-03-25 04:52:07,736 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0620 +[2025-03-25 04:52:07,774 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3897 +[2025-03-25 04:52:07,810 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6380 +[2025-03-25 04:52:07,835 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0130 +[2025-03-25 04:52:07,876 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8846 +[2025-03-25 04:52:07,913 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0516 +[2025-03-25 04:52:07,951 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6533 +[2025-03-25 04:52:07,996 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3252 +[2025-03-25 04:52:08,026 INFO hook.py line 748 195048] Test: [28/78] Loss 0.7492 +[2025-03-25 04:52:08,051 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3112 +[2025-03-25 04:52:08,099 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6475 +[2025-03-25 04:52:08,154 INFO hook.py line 748 195048] Test: [31/78] Loss 0.7367 +[2025-03-25 04:52:08,191 INFO hook.py line 748 195048] Test: [32/78] Loss 1.0801 +[2025-03-25 04:52:08,238 INFO hook.py line 748 195048] Test: [33/78] Loss 0.4189 +[2025-03-25 04:52:08,274 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0491 +[2025-03-25 04:52:08,311 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3912 +[2025-03-25 04:52:08,345 INFO hook.py line 748 195048] Test: [36/78] Loss 0.8979 +[2025-03-25 04:52:08,381 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6009 +[2025-03-25 04:52:08,418 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4308 +[2025-03-25 04:52:08,472 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5248 +[2025-03-25 04:52:08,514 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7129 +[2025-03-25 04:52:08,554 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2237 +[2025-03-25 04:52:08,578 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3347 +[2025-03-25 04:52:08,610 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3428 +[2025-03-25 04:52:08,664 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6773 +[2025-03-25 04:52:08,695 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6433 +[2025-03-25 04:52:08,737 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6832 +[2025-03-25 04:52:08,771 INFO hook.py line 748 195048] Test: [47/78] Loss 2.1068 +[2025-03-25 04:52:08,803 INFO hook.py line 748 195048] Test: [48/78] Loss 1.1451 +[2025-03-25 04:52:08,834 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6952 +[2025-03-25 04:52:08,869 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2954 +[2025-03-25 04:52:08,902 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0115 +[2025-03-25 04:52:08,942 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1162 +[2025-03-25 04:52:08,972 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2883 +[2025-03-25 04:52:09,007 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3399 +[2025-03-25 04:52:09,042 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1254 +[2025-03-25 04:52:09,077 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3352 +[2025-03-25 04:52:09,106 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6945 +[2025-03-25 04:52:09,128 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5661 +[2025-03-25 04:52:09,163 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9609 +[2025-03-25 04:52:09,193 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7823 +[2025-03-25 04:52:09,215 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7002 +[2025-03-25 04:52:09,244 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6696 +[2025-03-25 04:52:09,276 INFO hook.py line 748 195048] Test: [63/78] Loss 0.9718 +[2025-03-25 04:52:09,326 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3656 +[2025-03-25 04:52:09,349 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8664 +[2025-03-25 04:52:09,386 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6218 +[2025-03-25 04:52:09,421 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6110 +[2025-03-25 04:52:09,449 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9846 +[2025-03-25 04:52:09,475 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3341 +[2025-03-25 04:52:09,528 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1031 +[2025-03-25 04:52:09,565 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1372 +[2025-03-25 04:52:09,611 INFO hook.py line 748 195048] Test: [72/78] Loss 0.6603 +[2025-03-25 04:52:09,654 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5828 +[2025-03-25 04:52:09,692 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3361 +[2025-03-25 04:52:09,738 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6416 +[2025-03-25 04:52:09,764 INFO hook.py line 748 195048] Test: [76/78] Loss 1.3193 +[2025-03-25 04:52:09,813 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4921 +[2025-03-25 04:52:09,836 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8333 +[2025-03-25 04:52:10,825 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:52:10,825 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:52:10,825 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] wall : 0.7791 0.9269 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] floor : 0.9571 0.9838 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] cabinet : 0.5121 0.6187 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] bed : 0.6684 0.8266 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] chair : 0.8289 0.8711 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] sofa : 0.6645 0.9026 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] table : 0.5962 0.6659 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] door : 0.4827 0.6053 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] window : 0.3680 0.4259 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] bookshelf : 0.6728 0.7534 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] picture : 0.2478 0.3470 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] counter : 0.4849 0.7691 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] desk : 0.4979 0.7772 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] curtain : 0.5740 0.7694 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] refridgerator : 0.3763 0.6181 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] shower curtain : 0.5530 0.6201 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] toilet : 0.8698 0.8804 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] sink : 0.5618 0.6278 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] bathtub : 0.7045 0.9306 +[2025-03-25 04:52:10,826 INFO hook.py line 689 195048] otherfurniture : 0.4148 0.5222 +[2025-03-25 04:52:10,826 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:52:10,826 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5907/0.7221/0.8456. +[2025-03-25 04:52:10,827 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:52:10,836 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.5907 +[2025-03-25 04:52:10,836 INFO misc.py line 164 195048] Currently Best mIoU: 0.5907 +[2025-03-25 04:52:10,836 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:52:24,697 INFO hook.py line 566 195048] Train: [13/100][50/400] Data 0.003 (0.004) Batch 0.187 (0.200) Remain 01:56:54 loss: 0.7743 Lr: 2.95856e-03 +[2025-03-25 04:52:34,847 INFO hook.py line 566 195048] Train: [13/100][100/400] Data 0.004 (0.004) Batch 0.214 (0.201) Remain 01:57:46 loss: 0.6589 Lr: 2.95710e-03 +[2025-03-25 04:52:44,654 INFO hook.py line 566 195048] Train: [13/100][150/400] Data 0.003 (0.003) Batch 0.196 (0.200) Remain 01:56:34 loss: 0.5368 Lr: 2.95561e-03 +[2025-03-25 04:52:54,612 INFO hook.py line 566 195048] Train: [13/100][200/400] Data 0.002 (0.003) Batch 0.194 (0.199) Remain 01:56:21 loss: 0.6524 Lr: 2.95410e-03 +[2025-03-25 04:53:04,508 INFO hook.py line 566 195048] Train: [13/100][250/400] Data 0.003 (0.003) Batch 0.196 (0.199) Remain 01:56:00 loss: 1.0060 Lr: 2.95257e-03 +[2025-03-25 04:53:14,401 INFO hook.py line 566 195048] Train: [13/100][300/400] Data 0.003 (0.003) Batch 0.186 (0.199) Remain 01:55:42 loss: 1.0638 Lr: 2.95101e-03 +[2025-03-25 04:53:24,398 INFO hook.py line 566 195048] Train: [13/100][350/400] Data 0.003 (0.003) Batch 0.210 (0.199) Remain 01:55:37 loss: 0.8291 Lr: 2.94943e-03 +[2025-03-25 04:53:33,255 INFO hook.py line 566 195048] Train: [13/100][400/400] Data 0.001 (0.003) Batch 0.156 (0.196) Remain 01:53:51 loss: 1.1476 Lr: 2.94782e-03 +[2025-03-25 04:53:33,256 INFO misc.py line 135 195048] Train result: loss: 0.8284 +[2025-03-25 04:53:33,340 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:53:43,776 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2949 +[2025-03-25 04:53:44,024 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7754 +[2025-03-25 04:53:44,054 INFO hook.py line 748 195048] Test: [3/78] Loss 0.6721 +[2025-03-25 04:53:44,101 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5015 +[2025-03-25 04:53:44,135 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6005 +[2025-03-25 04:53:44,210 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6227 +[2025-03-25 04:53:44,423 INFO hook.py line 748 195048] Test: [7/78] Loss 1.0903 +[2025-03-25 04:53:44,456 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3969 +[2025-03-25 04:53:44,501 INFO hook.py line 748 195048] Test: [9/78] Loss 1.4920 +[2025-03-25 04:53:44,531 INFO hook.py line 748 195048] Test: [10/78] Loss 1.2268 +[2025-03-25 04:53:44,619 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5970 +[2025-03-25 04:53:44,649 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1822 +[2025-03-25 04:53:44,691 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9586 +[2025-03-25 04:53:44,724 INFO hook.py line 748 195048] Test: [14/78] Loss 1.4545 +[2025-03-25 04:53:44,756 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4459 +[2025-03-25 04:53:44,796 INFO hook.py line 748 195048] Test: [16/78] Loss 1.3121 +[2025-03-25 04:53:44,831 INFO hook.py line 748 195048] Test: [17/78] Loss 1.0879 +[2025-03-25 04:53:44,861 INFO hook.py line 748 195048] Test: [18/78] Loss 0.5988 +[2025-03-25 04:53:44,902 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9368 +[2025-03-25 04:53:44,930 INFO hook.py line 748 195048] Test: [20/78] Loss 0.9269 +[2025-03-25 04:53:44,963 INFO hook.py line 748 195048] Test: [21/78] Loss 0.4132 +[2025-03-25 04:53:44,999 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5142 +[2025-03-25 04:53:45,023 INFO hook.py line 748 195048] Test: [23/78] Loss 1.2577 +[2025-03-25 04:53:45,065 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8887 +[2025-03-25 04:53:45,101 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8325 +[2025-03-25 04:53:45,138 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6199 +[2025-03-25 04:53:45,183 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3966 +[2025-03-25 04:53:45,215 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5910 +[2025-03-25 04:53:45,245 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3810 +[2025-03-25 04:53:45,295 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6451 +[2025-03-25 04:53:45,352 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4899 +[2025-03-25 04:53:45,384 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7805 +[2025-03-25 04:53:45,432 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2534 +[2025-03-25 04:53:45,476 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9869 +[2025-03-25 04:53:45,510 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4491 +[2025-03-25 04:53:45,541 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3804 +[2025-03-25 04:53:45,576 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7144 +[2025-03-25 04:53:45,605 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5450 +[2025-03-25 04:53:45,660 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7275 +[2025-03-25 04:53:45,703 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8033 +[2025-03-25 04:53:45,749 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9276 +[2025-03-25 04:53:45,773 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3945 +[2025-03-25 04:53:45,814 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3908 +[2025-03-25 04:53:45,865 INFO hook.py line 748 195048] Test: [44/78] Loss 0.8999 +[2025-03-25 04:53:45,895 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5708 +[2025-03-25 04:53:45,937 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7339 +[2025-03-25 04:53:45,971 INFO hook.py line 748 195048] Test: [47/78] Loss 2.2689 +[2025-03-25 04:53:46,002 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6841 +[2025-03-25 04:53:46,038 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4737 +[2025-03-25 04:53:46,072 INFO hook.py line 748 195048] Test: [50/78] Loss 1.4561 +[2025-03-25 04:53:46,098 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0958 +[2025-03-25 04:53:46,134 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0395 +[2025-03-25 04:53:46,168 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6044 +[2025-03-25 04:53:46,203 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8552 +[2025-03-25 04:53:46,239 INFO hook.py line 748 195048] Test: [55/78] Loss 0.2226 +[2025-03-25 04:53:46,274 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3417 +[2025-03-25 04:53:46,303 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0228 +[2025-03-25 04:53:46,326 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8438 +[2025-03-25 04:53:46,361 INFO hook.py line 748 195048] Test: [59/78] Loss 1.1734 +[2025-03-25 04:53:46,389 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7723 +[2025-03-25 04:53:46,409 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7166 +[2025-03-25 04:53:46,438 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7392 +[2025-03-25 04:53:46,470 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2093 +[2025-03-25 04:53:46,520 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6393 +[2025-03-25 04:53:46,543 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3295 +[2025-03-25 04:53:46,580 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8670 +[2025-03-25 04:53:46,615 INFO hook.py line 748 195048] Test: [67/78] Loss 0.9425 +[2025-03-25 04:53:46,643 INFO hook.py line 748 195048] Test: [68/78] Loss 1.4780 +[2025-03-25 04:53:46,669 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3426 +[2025-03-25 04:53:46,722 INFO hook.py line 748 195048] Test: [70/78] Loss 1.0833 +[2025-03-25 04:53:46,759 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2943 +[2025-03-25 04:53:46,805 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4920 +[2025-03-25 04:53:46,849 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4287 +[2025-03-25 04:53:46,886 INFO hook.py line 748 195048] Test: [74/78] Loss 1.9446 +[2025-03-25 04:53:46,932 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5881 +[2025-03-25 04:53:46,957 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7976 +[2025-03-25 04:53:47,007 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6089 +[2025-03-25 04:53:47,030 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8444 +[2025-03-25 04:53:47,913 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:53:47,914 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:53:47,914 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] wall : 0.7615 0.8906 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] floor : 0.9562 0.9793 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] cabinet : 0.4712 0.5866 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] bed : 0.6677 0.8594 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] chair : 0.8245 0.8605 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] sofa : 0.6716 0.8654 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] table : 0.6086 0.7335 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] door : 0.4929 0.5556 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] window : 0.4107 0.7046 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] bookshelf : 0.6724 0.8330 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] picture : 0.1699 0.3965 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] counter : 0.5123 0.6056 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] desk : 0.4095 0.4734 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] curtain : 0.4867 0.5414 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] refridgerator : 0.3529 0.3712 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] shower curtain : 0.4252 0.4485 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] toilet : 0.8568 0.8855 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] sink : 0.5794 0.6550 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] bathtub : 0.7128 0.7385 +[2025-03-25 04:53:47,914 INFO hook.py line 689 195048] otherfurniture : 0.4122 0.6170 +[2025-03-25 04:53:47,914 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:53:47,914 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5728/0.6801/0.8348. +[2025-03-25 04:53:47,914 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:53:47,924 INFO misc.py line 164 195048] Currently Best mIoU: 0.5907 +[2025-03-25 04:53:47,924 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:54:01,579 INFO hook.py line 566 195048] Train: [14/100][50/400] Data 0.002 (0.005) Batch 0.192 (0.212) Remain 02:03:03 loss: 0.8987 Lr: 2.94619e-03 +[2025-03-25 04:54:11,547 INFO hook.py line 566 195048] Train: [14/100][100/400] Data 0.003 (0.004) Batch 0.207 (0.206) Remain 01:58:57 loss: 0.8176 Lr: 2.94453e-03 +[2025-03-25 04:54:21,528 INFO hook.py line 566 195048] Train: [14/100][150/400] Data 0.002 (0.004) Batch 0.199 (0.204) Remain 01:57:36 loss: 1.0914 Lr: 2.94284e-03 +[2025-03-25 04:54:31,466 INFO hook.py line 566 195048] Train: [14/100][200/400] Data 0.002 (0.003) Batch 0.182 (0.202) Remain 01:56:42 loss: 0.6257 Lr: 2.94114e-03 +[2025-03-25 04:54:41,565 INFO hook.py line 566 195048] Train: [14/100][250/400] Data 0.004 (0.003) Batch 0.206 (0.202) Remain 01:56:29 loss: 0.6494 Lr: 2.93940e-03 +[2025-03-25 04:54:51,865 INFO hook.py line 566 195048] Train: [14/100][300/400] Data 0.003 (0.003) Batch 0.207 (0.203) Remain 01:56:41 loss: 0.6501 Lr: 2.93765e-03 +[2025-03-25 04:55:01,881 INFO hook.py line 566 195048] Train: [14/100][350/400] Data 0.003 (0.003) Batch 0.200 (0.203) Remain 01:56:18 loss: 0.6082 Lr: 2.93587e-03 +[2025-03-25 04:55:10,917 INFO hook.py line 566 195048] Train: [14/100][400/400] Data 0.001 (0.003) Batch 0.155 (0.200) Remain 01:54:33 loss: 0.7662 Lr: 2.93406e-03 +[2025-03-25 04:55:10,918 INFO misc.py line 135 195048] Train result: loss: 0.8168 +[2025-03-25 04:55:10,990 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:55:21,495 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2401 +[2025-03-25 04:55:21,541 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5945 +[2025-03-25 04:55:21,580 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4775 +[2025-03-25 04:55:22,116 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6413 +[2025-03-25 04:55:22,230 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5180 +[2025-03-25 04:55:22,280 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8265 +[2025-03-25 04:55:22,327 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7800 +[2025-03-25 04:55:22,350 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4650 +[2025-03-25 04:55:22,394 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0593 +[2025-03-25 04:55:22,423 INFO hook.py line 748 195048] Test: [10/78] Loss 1.4105 +[2025-03-25 04:55:22,465 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6713 +[2025-03-25 04:55:22,495 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0792 +[2025-03-25 04:55:22,538 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8461 +[2025-03-25 04:55:22,573 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8801 +[2025-03-25 04:55:22,605 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4523 +[2025-03-25 04:55:22,646 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2249 +[2025-03-25 04:55:22,682 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6501 +[2025-03-25 04:55:22,713 INFO hook.py line 748 195048] Test: [18/78] Loss 0.6706 +[2025-03-25 04:55:22,755 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9146 +[2025-03-25 04:55:22,783 INFO hook.py line 748 195048] Test: [20/78] Loss 0.9683 +[2025-03-25 04:55:22,816 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3057 +[2025-03-25 04:55:22,852 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5844 +[2025-03-25 04:55:22,877 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1646 +[2025-03-25 04:55:22,916 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7974 +[2025-03-25 04:55:22,955 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8035 +[2025-03-25 04:55:22,995 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5958 +[2025-03-25 04:55:23,045 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6196 +[2025-03-25 04:55:23,075 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4530 +[2025-03-25 04:55:23,100 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3860 +[2025-03-25 04:55:23,149 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6577 +[2025-03-25 04:55:23,203 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4873 +[2025-03-25 04:55:23,237 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6986 +[2025-03-25 04:55:23,284 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2293 +[2025-03-25 04:55:23,323 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2181 +[2025-03-25 04:55:23,357 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4647 +[2025-03-25 04:55:23,390 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1467 +[2025-03-25 04:55:23,422 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6889 +[2025-03-25 04:55:23,452 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5121 +[2025-03-25 04:55:23,510 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6588 +[2025-03-25 04:55:23,554 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8727 +[2025-03-25 04:55:23,592 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9287 +[2025-03-25 04:55:23,615 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3830 +[2025-03-25 04:55:23,647 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2823 +[2025-03-25 04:55:23,706 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6351 +[2025-03-25 04:55:23,739 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5269 +[2025-03-25 04:55:23,781 INFO hook.py line 748 195048] Test: [46/78] Loss 0.5896 +[2025-03-25 04:55:23,817 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9644 +[2025-03-25 04:55:23,851 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5673 +[2025-03-25 04:55:23,886 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2899 +[2025-03-25 04:55:23,919 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1770 +[2025-03-25 04:55:23,953 INFO hook.py line 748 195048] Test: [51/78] Loss 0.7328 +[2025-03-25 04:55:23,988 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2086 +[2025-03-25 04:55:24,015 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5846 +[2025-03-25 04:55:24,048 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2046 +[2025-03-25 04:55:24,083 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0812 +[2025-03-25 04:55:24,119 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3744 +[2025-03-25 04:55:24,148 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9968 +[2025-03-25 04:55:24,171 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6621 +[2025-03-25 04:55:24,206 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8127 +[2025-03-25 04:55:24,234 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6621 +[2025-03-25 04:55:24,255 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6565 +[2025-03-25 04:55:24,284 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5300 +[2025-03-25 04:55:24,316 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0024 +[2025-03-25 04:55:24,367 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4921 +[2025-03-25 04:55:24,390 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0294 +[2025-03-25 04:55:24,427 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8762 +[2025-03-25 04:55:24,462 INFO hook.py line 748 195048] Test: [67/78] Loss 0.7132 +[2025-03-25 04:55:24,491 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1815 +[2025-03-25 04:55:24,518 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3927 +[2025-03-25 04:55:24,570 INFO hook.py line 748 195048] Test: [70/78] Loss 0.9354 +[2025-03-25 04:55:24,608 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0739 +[2025-03-25 04:55:24,654 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7087 +[2025-03-25 04:55:24,697 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4764 +[2025-03-25 04:55:24,735 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2211 +[2025-03-25 04:55:24,781 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5474 +[2025-03-25 04:55:24,806 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9606 +[2025-03-25 04:55:24,855 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3911 +[2025-03-25 04:55:24,878 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7779 +[2025-03-25 04:55:25,948 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:55:25,948 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:55:25,948 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] wall : 0.7928 0.9211 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] floor : 0.9538 0.9718 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] cabinet : 0.5333 0.6694 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] bed : 0.7229 0.8261 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] chair : 0.8619 0.9148 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] sofa : 0.7424 0.8510 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] table : 0.6301 0.8309 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] door : 0.4578 0.5064 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] window : 0.4432 0.7115 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] bookshelf : 0.6697 0.9180 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] picture : 0.2338 0.3540 +[2025-03-25 04:55:25,948 INFO hook.py line 689 195048] counter : 0.5486 0.7128 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] desk : 0.4766 0.5496 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] curtain : 0.5597 0.6634 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] refridgerator : 0.3564 0.4554 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] shower curtain : 0.5137 0.7477 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] toilet : 0.6899 0.9519 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] sink : 0.5152 0.7539 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] bathtub : 0.8236 0.8719 +[2025-03-25 04:55:25,949 INFO hook.py line 689 195048] otherfurniture : 0.4338 0.4857 +[2025-03-25 04:55:25,949 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:55:25,949 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5980/0.7334/0.8538. +[2025-03-25 04:55:25,949 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:55:25,962 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.5980 +[2025-03-25 04:55:25,962 INFO misc.py line 164 195048] Currently Best mIoU: 0.5980 +[2025-03-25 04:55:25,962 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:55:39,568 INFO hook.py line 566 195048] Train: [15/100][50/400] Data 0.003 (0.003) Batch 0.203 (0.197) Remain 01:52:48 loss: 0.8311 Lr: 2.93223e-03 +[2025-03-25 04:55:49,512 INFO hook.py line 566 195048] Train: [15/100][100/400] Data 0.002 (0.003) Batch 0.205 (0.198) Remain 01:53:11 loss: 0.6477 Lr: 2.93038e-03 +[2025-03-25 04:55:59,503 INFO hook.py line 566 195048] Train: [15/100][150/400] Data 0.003 (0.003) Batch 0.188 (0.199) Remain 01:53:22 loss: 0.4986 Lr: 2.92850e-03 +[2025-03-25 04:56:09,561 INFO hook.py line 566 195048] Train: [15/100][200/400] Data 0.003 (0.003) Batch 0.191 (0.199) Remain 01:53:34 loss: 0.8267 Lr: 2.92659e-03 +[2025-03-25 04:56:20,056 INFO hook.py line 566 195048] Train: [15/100][250/400] Data 0.002 (0.003) Batch 0.198 (0.201) Remain 01:54:38 loss: 0.7762 Lr: 2.92466e-03 +[2025-03-25 04:56:30,134 INFO hook.py line 566 195048] Train: [15/100][300/400] Data 0.002 (0.003) Batch 0.181 (0.201) Remain 01:54:28 loss: 1.0164 Lr: 2.92271e-03 +[2025-03-25 04:56:40,164 INFO hook.py line 566 195048] Train: [15/100][350/400] Data 0.002 (0.003) Batch 0.195 (0.201) Remain 01:54:14 loss: 0.9580 Lr: 2.92073e-03 +[2025-03-25 04:56:49,147 INFO hook.py line 566 195048] Train: [15/100][400/400] Data 0.001 (0.003) Batch 0.147 (0.199) Remain 01:52:32 loss: 0.8235 Lr: 2.91873e-03 +[2025-03-25 04:56:49,147 INFO misc.py line 135 195048] Train result: loss: 0.7919 +[2025-03-25 04:56:49,222 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:57:00,197 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2663 +[2025-03-25 04:57:00,234 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8138 +[2025-03-25 04:57:00,264 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5187 +[2025-03-25 04:57:00,417 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6758 +[2025-03-25 04:57:00,448 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5073 +[2025-03-25 04:57:00,499 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5744 +[2025-03-25 04:57:00,545 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7914 +[2025-03-25 04:57:00,568 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4181 +[2025-03-25 04:57:00,613 INFO hook.py line 748 195048] Test: [9/78] Loss 1.2109 +[2025-03-25 04:57:00,642 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9826 +[2025-03-25 04:57:00,684 INFO hook.py line 748 195048] Test: [11/78] Loss 0.8176 +[2025-03-25 04:57:00,714 INFO hook.py line 748 195048] Test: [12/78] Loss 0.7112 +[2025-03-25 04:57:00,758 INFO hook.py line 748 195048] Test: [13/78] Loss 1.6987 +[2025-03-25 04:57:00,794 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0021 +[2025-03-25 04:57:00,827 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7903 +[2025-03-25 04:57:00,868 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2157 +[2025-03-25 04:57:00,904 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7514 +[2025-03-25 04:57:00,942 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7491 +[2025-03-25 04:57:00,983 INFO hook.py line 748 195048] Test: [19/78] Loss 1.3225 +[2025-03-25 04:57:01,012 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0230 +[2025-03-25 04:57:01,046 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3556 +[2025-03-25 04:57:01,083 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4101 +[2025-03-25 04:57:01,110 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1138 +[2025-03-25 04:57:01,149 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0381 +[2025-03-25 04:57:01,190 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9236 +[2025-03-25 04:57:01,226 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5269 +[2025-03-25 04:57:01,272 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1599 +[2025-03-25 04:57:01,301 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5687 +[2025-03-25 04:57:01,333 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3738 +[2025-03-25 04:57:01,383 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6195 +[2025-03-25 04:57:01,444 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6868 +[2025-03-25 04:57:01,478 INFO hook.py line 748 195048] Test: [32/78] Loss 0.9416 +[2025-03-25 04:57:01,525 INFO hook.py line 748 195048] Test: [33/78] Loss 0.1621 +[2025-03-25 04:57:01,564 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2094 +[2025-03-25 04:57:01,598 INFO hook.py line 748 195048] Test: [35/78] Loss 0.2608 +[2025-03-25 04:57:01,629 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1037 +[2025-03-25 04:57:01,664 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5025 +[2025-03-25 04:57:01,702 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3616 +[2025-03-25 04:57:01,756 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3379 +[2025-03-25 04:57:01,798 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6388 +[2025-03-25 04:57:01,838 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1111 +[2025-03-25 04:57:01,868 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1772 +[2025-03-25 04:57:01,899 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3696 +[2025-03-25 04:57:01,951 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7129 +[2025-03-25 04:57:01,982 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5755 +[2025-03-25 04:57:02,024 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7098 +[2025-03-25 04:57:02,058 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0018 +[2025-03-25 04:57:02,091 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6838 +[2025-03-25 04:57:02,122 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5669 +[2025-03-25 04:57:02,156 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1353 +[2025-03-25 04:57:02,196 INFO hook.py line 748 195048] Test: [51/78] Loss 1.7381 +[2025-03-25 04:57:02,230 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2109 +[2025-03-25 04:57:02,268 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2444 +[2025-03-25 04:57:02,306 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8831 +[2025-03-25 04:57:02,341 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1299 +[2025-03-25 04:57:02,376 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2707 +[2025-03-25 04:57:02,406 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8664 +[2025-03-25 04:57:02,429 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8008 +[2025-03-25 04:57:02,464 INFO hook.py line 748 195048] Test: [59/78] Loss 0.6173 +[2025-03-25 04:57:02,492 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7066 +[2025-03-25 04:57:02,512 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7405 +[2025-03-25 04:57:02,541 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5348 +[2025-03-25 04:57:02,573 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4147 +[2025-03-25 04:57:02,624 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5870 +[2025-03-25 04:57:02,647 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3658 +[2025-03-25 04:57:02,684 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6201 +[2025-03-25 04:57:02,719 INFO hook.py line 748 195048] Test: [67/78] Loss 0.7304 +[2025-03-25 04:57:02,748 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1316 +[2025-03-25 04:57:02,774 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3778 +[2025-03-25 04:57:02,827 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1759 +[2025-03-25 04:57:02,864 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9641 +[2025-03-25 04:57:02,910 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4272 +[2025-03-25 04:57:02,953 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4546 +[2025-03-25 04:57:02,991 INFO hook.py line 748 195048] Test: [74/78] Loss 1.6794 +[2025-03-25 04:57:03,038 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6195 +[2025-03-25 04:57:03,063 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0963 +[2025-03-25 04:57:03,112 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4458 +[2025-03-25 04:57:03,136 INFO hook.py line 748 195048] Test: [78/78] Loss 1.1721 +[2025-03-25 04:57:04,147 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:57:04,147 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:57:04,147 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] wall : 0.7840 0.9119 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] floor : 0.9568 0.9809 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] cabinet : 0.4847 0.6341 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] bed : 0.7059 0.7450 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] chair : 0.8693 0.9264 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] sofa : 0.7706 0.8552 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] table : 0.5983 0.6782 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] door : 0.5104 0.5981 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] window : 0.3996 0.4589 +[2025-03-25 04:57:04,147 INFO hook.py line 689 195048] bookshelf : 0.7039 0.8292 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] picture : 0.2039 0.2810 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] counter : 0.4434 0.8475 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] desk : 0.5116 0.7424 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] curtain : 0.5014 0.5366 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] refridgerator : 0.3684 0.4961 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] shower curtain : 0.5058 0.7310 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] toilet : 0.8692 0.9486 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] sink : 0.5833 0.7596 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] bathtub : 0.8538 0.9116 +[2025-03-25 04:57:04,148 INFO hook.py line 689 195048] otherfurniture : 0.4073 0.6807 +[2025-03-25 04:57:04,148 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:57:04,148 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6016/0.7276/0.8484. +[2025-03-25 04:57:04,149 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:57:04,160 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6016 +[2025-03-25 04:57:04,160 INFO misc.py line 164 195048] Currently Best mIoU: 0.6016 +[2025-03-25 04:57:04,160 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:57:17,954 INFO hook.py line 566 195048] Train: [16/100][50/400] Data 0.002 (0.003) Batch 0.202 (0.202) Remain 01:54:26 loss: 1.4482 Lr: 2.91671e-03 +[2025-03-25 04:57:27,804 INFO hook.py line 566 195048] Train: [16/100][100/400] Data 0.002 (0.003) Batch 0.193 (0.200) Remain 01:52:44 loss: 0.5961 Lr: 2.91466e-03 +[2025-03-25 04:57:37,532 INFO hook.py line 566 195048] Train: [16/100][150/400] Data 0.004 (0.003) Batch 0.213 (0.198) Remain 01:51:37 loss: 0.8567 Lr: 2.91259e-03 +[2025-03-25 04:57:47,588 INFO hook.py line 566 195048] Train: [16/100][200/400] Data 0.002 (0.003) Batch 0.226 (0.199) Remain 01:51:55 loss: 0.6674 Lr: 2.91049e-03 +[2025-03-25 04:57:57,581 INFO hook.py line 566 195048] Train: [16/100][250/400] Data 0.004 (0.003) Batch 0.210 (0.199) Remain 01:51:53 loss: 0.6473 Lr: 2.90837e-03 +[2025-03-25 04:58:07,649 INFO hook.py line 566 195048] Train: [16/100][300/400] Data 0.003 (0.003) Batch 0.190 (0.199) Remain 01:51:57 loss: 0.6787 Lr: 2.90622e-03 +[2025-03-25 04:58:17,726 INFO hook.py line 566 195048] Train: [16/100][350/400] Data 0.003 (0.003) Batch 0.196 (0.200) Remain 01:51:58 loss: 0.6403 Lr: 2.90405e-03 +[2025-03-25 04:58:26,596 INFO hook.py line 566 195048] Train: [16/100][400/400] Data 0.001 (0.003) Batch 0.140 (0.197) Remain 01:50:14 loss: 1.1305 Lr: 2.90186e-03 +[2025-03-25 04:58:26,597 INFO misc.py line 135 195048] Train result: loss: 0.7773 +[2025-03-25 04:58:26,683 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 04:58:37,105 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2446 +[2025-03-25 04:58:37,474 INFO hook.py line 748 195048] Test: [2/78] Loss 0.9203 +[2025-03-25 04:58:37,507 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3485 +[2025-03-25 04:58:37,550 INFO hook.py line 748 195048] Test: [4/78] Loss 0.3741 +[2025-03-25 04:58:37,588 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5706 +[2025-03-25 04:58:37,645 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4942 +[2025-03-25 04:58:37,692 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6391 +[2025-03-25 04:58:37,830 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4104 +[2025-03-25 04:58:37,883 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9917 +[2025-03-25 04:58:37,912 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0030 +[2025-03-25 04:58:37,953 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6320 +[2025-03-25 04:58:37,986 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0399 +[2025-03-25 04:58:38,032 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9300 +[2025-03-25 04:58:38,067 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8242 +[2025-03-25 04:58:38,100 INFO hook.py line 748 195048] Test: [15/78] Loss 2.1226 +[2025-03-25 04:58:38,150 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1771 +[2025-03-25 04:58:38,187 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8702 +[2025-03-25 04:58:38,216 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0778 +[2025-03-25 04:58:38,256 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2844 +[2025-03-25 04:58:38,285 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1467 +[2025-03-25 04:58:38,317 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2798 +[2025-03-25 04:58:38,353 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3943 +[2025-03-25 04:58:38,379 INFO hook.py line 748 195048] Test: [23/78] Loss 1.2391 +[2025-03-25 04:58:38,419 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7610 +[2025-03-25 04:58:38,463 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2350 +[2025-03-25 04:58:38,504 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8490 +[2025-03-25 04:58:38,550 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6049 +[2025-03-25 04:58:38,581 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5338 +[2025-03-25 04:58:38,606 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3132 +[2025-03-25 04:58:38,655 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5180 +[2025-03-25 04:58:38,711 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6317 +[2025-03-25 04:58:38,743 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6927 +[2025-03-25 04:58:38,790 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2202 +[2025-03-25 04:58:38,828 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9587 +[2025-03-25 04:58:38,862 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3248 +[2025-03-25 04:58:38,893 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0802 +[2025-03-25 04:58:38,929 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5420 +[2025-03-25 04:58:38,958 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3099 +[2025-03-25 04:58:39,012 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5248 +[2025-03-25 04:58:39,053 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9809 +[2025-03-25 04:58:39,094 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1068 +[2025-03-25 04:58:39,118 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1638 +[2025-03-25 04:58:39,150 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2643 +[2025-03-25 04:58:39,205 INFO hook.py line 748 195048] Test: [44/78] Loss 0.8522 +[2025-03-25 04:58:39,237 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5542 +[2025-03-25 04:58:39,279 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6322 +[2025-03-25 04:58:39,316 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0297 +[2025-03-25 04:58:39,347 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5210 +[2025-03-25 04:58:39,379 INFO hook.py line 748 195048] Test: [49/78] Loss 1.0080 +[2025-03-25 04:58:39,412 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1665 +[2025-03-25 04:58:39,452 INFO hook.py line 748 195048] Test: [51/78] Loss 2.2820 +[2025-03-25 04:58:39,487 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1333 +[2025-03-25 04:58:39,517 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2754 +[2025-03-25 04:58:39,554 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0704 +[2025-03-25 04:58:39,591 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0819 +[2025-03-25 04:58:39,627 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3542 +[2025-03-25 04:58:39,656 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6024 +[2025-03-25 04:58:39,679 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7401 +[2025-03-25 04:58:39,714 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9629 +[2025-03-25 04:58:39,742 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9314 +[2025-03-25 04:58:39,763 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6964 +[2025-03-25 04:58:39,791 INFO hook.py line 748 195048] Test: [62/78] Loss 0.8505 +[2025-03-25 04:58:39,824 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1670 +[2025-03-25 04:58:39,874 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6934 +[2025-03-25 04:58:39,897 INFO hook.py line 748 195048] Test: [65/78] Loss 2.1186 +[2025-03-25 04:58:39,934 INFO hook.py line 748 195048] Test: [66/78] Loss 0.4829 +[2025-03-25 04:58:39,968 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6431 +[2025-03-25 04:58:39,997 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2798 +[2025-03-25 04:58:40,023 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3569 +[2025-03-25 04:58:40,075 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4231 +[2025-03-25 04:58:40,114 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2057 +[2025-03-25 04:58:40,160 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3790 +[2025-03-25 04:58:40,203 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6686 +[2025-03-25 04:58:40,240 INFO hook.py line 748 195048] Test: [74/78] Loss 1.7830 +[2025-03-25 04:58:40,286 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5362 +[2025-03-25 04:58:40,311 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9380 +[2025-03-25 04:58:40,361 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7552 +[2025-03-25 04:58:40,384 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5631 +[2025-03-25 04:58:41,430 INFO hook.py line 674 195048] ######################################## +[2025-03-25 04:58:41,430 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 04:58:41,431 INFO hook.py line 680 195048] ######################################## +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] wall : 0.7744 0.8873 +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] floor : 0.9549 0.9797 +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] cabinet : 0.5035 0.5800 +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] bed : 0.7354 0.7812 +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] chair : 0.8311 0.9043 +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] sofa : 0.7423 0.9064 +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] table : 0.6256 0.7553 +[2025-03-25 04:58:41,431 INFO hook.py line 689 195048] door : 0.4571 0.7576 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] window : 0.4492 0.6849 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] bookshelf : 0.7227 0.8020 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] picture : 0.2460 0.3234 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] counter : 0.5449 0.6540 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] desk : 0.4592 0.7716 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] curtain : 0.3919 0.4127 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] refridgerator : 0.4351 0.5414 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] shower curtain : 0.4584 0.4863 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] toilet : 0.8921 0.9470 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] sink : 0.5549 0.7212 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] bathtub : 0.8316 0.8828 +[2025-03-25 04:58:41,432 INFO hook.py line 689 195048] otherfurniture : 0.4260 0.5069 +[2025-03-25 04:58:41,433 INFO hook.py line 690 195048] ######################################## +[2025-03-25 04:58:41,433 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6018/0.7143/0.8446. +[2025-03-25 04:58:41,433 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 04:58:41,446 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6018 +[2025-03-25 04:58:41,446 INFO misc.py line 164 195048] Currently Best mIoU: 0.6018 +[2025-03-25 04:58:41,446 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 04:58:55,353 INFO hook.py line 566 195048] Train: [17/100][50/400] Data 0.002 (0.003) Batch 0.192 (0.204) Remain 01:54:04 loss: 0.3849 Lr: 2.89968e-03 +[2025-03-25 04:59:05,310 INFO hook.py line 566 195048] Train: [17/100][100/400] Data 0.004 (0.003) Batch 0.210 (0.201) Remain 01:52:29 loss: 0.3972 Lr: 2.89744e-03 +[2025-03-25 04:59:15,460 INFO hook.py line 566 195048] Train: [17/100][150/400] Data 0.003 (0.003) Batch 0.185 (0.202) Remain 01:52:37 loss: 0.7540 Lr: 2.89518e-03 +[2025-03-25 04:59:25,256 INFO hook.py line 566 195048] Train: [17/100][200/400] Data 0.002 (0.003) Batch 0.189 (0.200) Remain 01:51:35 loss: 0.7116 Lr: 2.89289e-03 +[2025-03-25 04:59:35,176 INFO hook.py line 566 195048] Train: [17/100][250/400] Data 0.005 (0.003) Batch 0.207 (0.200) Remain 01:51:11 loss: 1.2351 Lr: 2.89057e-03 +[2025-03-25 04:59:45,124 INFO hook.py line 566 195048] Train: [17/100][300/400] Data 0.002 (0.003) Batch 0.188 (0.200) Remain 01:50:55 loss: 0.7428 Lr: 2.88824e-03 +[2025-03-25 04:59:55,171 INFO hook.py line 566 195048] Train: [17/100][350/400] Data 0.002 (0.003) Batch 0.178 (0.200) Remain 01:50:50 loss: 0.5119 Lr: 2.88588e-03 +[2025-03-25 05:00:04,135 INFO hook.py line 566 195048] Train: [17/100][400/400] Data 0.001 (0.003) Batch 0.148 (0.197) Remain 01:49:13 loss: 0.4123 Lr: 2.88349e-03 +[2025-03-25 05:00:04,135 INFO misc.py line 135 195048] Train result: loss: 0.7505 +[2025-03-25 05:00:04,221 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:00:14,610 INFO hook.py line 748 195048] Test: [1/78] Loss 0.4343 +[2025-03-25 05:00:14,845 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8334 +[2025-03-25 05:00:14,884 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5560 +[2025-03-25 05:00:14,938 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4893 +[2025-03-25 05:00:14,988 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5471 +[2025-03-25 05:00:15,156 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8170 +[2025-03-25 05:00:15,206 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7867 +[2025-03-25 05:00:15,231 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4951 +[2025-03-25 05:00:15,273 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1679 +[2025-03-25 05:00:15,301 INFO hook.py line 748 195048] Test: [10/78] Loss 1.3521 +[2025-03-25 05:00:15,343 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5227 +[2025-03-25 05:00:15,372 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0776 +[2025-03-25 05:00:15,415 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8033 +[2025-03-25 05:00:15,450 INFO hook.py line 748 195048] Test: [14/78] Loss 1.6418 +[2025-03-25 05:00:15,488 INFO hook.py line 748 195048] Test: [15/78] Loss 1.5228 +[2025-03-25 05:00:15,530 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2813 +[2025-03-25 05:00:15,565 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5823 +[2025-03-25 05:00:15,595 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7241 +[2025-03-25 05:00:15,636 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4189 +[2025-03-25 05:00:15,671 INFO hook.py line 748 195048] Test: [20/78] Loss 0.8229 +[2025-03-25 05:00:15,704 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2921 +[2025-03-25 05:00:15,746 INFO hook.py line 748 195048] Test: [22/78] Loss 1.2725 +[2025-03-25 05:00:15,778 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1339 +[2025-03-25 05:00:15,824 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9034 +[2025-03-25 05:00:15,860 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1165 +[2025-03-25 05:00:15,897 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5882 +[2025-03-25 05:00:15,945 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2492 +[2025-03-25 05:00:15,982 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4509 +[2025-03-25 05:00:16,007 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3099 +[2025-03-25 05:00:16,062 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5995 +[2025-03-25 05:00:16,116 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4427 +[2025-03-25 05:00:16,152 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7036 +[2025-03-25 05:00:16,199 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3333 +[2025-03-25 05:00:16,240 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1724 +[2025-03-25 05:00:16,274 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3790 +[2025-03-25 05:00:16,308 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2015 +[2025-03-25 05:00:16,344 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4927 +[2025-03-25 05:00:16,375 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3710 +[2025-03-25 05:00:16,430 INFO hook.py line 748 195048] Test: [39/78] Loss 1.8897 +[2025-03-25 05:00:16,473 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6769 +[2025-03-25 05:00:16,514 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1084 +[2025-03-25 05:00:16,543 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4405 +[2025-03-25 05:00:16,575 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4574 +[2025-03-25 05:00:16,626 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6135 +[2025-03-25 05:00:16,656 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7616 +[2025-03-25 05:00:16,701 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7147 +[2025-03-25 05:00:16,741 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8201 +[2025-03-25 05:00:16,773 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6444 +[2025-03-25 05:00:16,804 INFO hook.py line 748 195048] Test: [49/78] Loss 1.0583 +[2025-03-25 05:00:16,837 INFO hook.py line 748 195048] Test: [50/78] Loss 1.3302 +[2025-03-25 05:00:16,871 INFO hook.py line 748 195048] Test: [51/78] Loss 0.6337 +[2025-03-25 05:00:16,913 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0027 +[2025-03-25 05:00:16,953 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3060 +[2025-03-25 05:00:16,997 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1748 +[2025-03-25 05:00:17,032 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1797 +[2025-03-25 05:00:17,067 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3703 +[2025-03-25 05:00:17,097 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8436 +[2025-03-25 05:00:17,121 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7814 +[2025-03-25 05:00:17,155 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8704 +[2025-03-25 05:00:17,184 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7596 +[2025-03-25 05:00:17,204 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6305 +[2025-03-25 05:00:17,233 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6381 +[2025-03-25 05:00:17,265 INFO hook.py line 748 195048] Test: [63/78] Loss 1.5650 +[2025-03-25 05:00:17,316 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3478 +[2025-03-25 05:00:17,339 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1643 +[2025-03-25 05:00:17,376 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7366 +[2025-03-25 05:00:17,410 INFO hook.py line 748 195048] Test: [67/78] Loss 0.7072 +[2025-03-25 05:00:17,439 INFO hook.py line 748 195048] Test: [68/78] Loss 1.3162 +[2025-03-25 05:00:17,467 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3340 +[2025-03-25 05:00:17,519 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3263 +[2025-03-25 05:00:17,557 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9818 +[2025-03-25 05:00:17,603 INFO hook.py line 748 195048] Test: [72/78] Loss 0.6841 +[2025-03-25 05:00:17,647 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6560 +[2025-03-25 05:00:17,684 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8568 +[2025-03-25 05:00:17,732 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5809 +[2025-03-25 05:00:17,758 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9489 +[2025-03-25 05:00:17,807 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5157 +[2025-03-25 05:00:17,831 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9064 +[2025-03-25 05:00:18,862 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:00:18,863 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:00:18,863 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:00:18,863 INFO hook.py line 689 195048] wall : 0.7835 0.8941 +[2025-03-25 05:00:18,863 INFO hook.py line 689 195048] floor : 0.9564 0.9835 +[2025-03-25 05:00:18,863 INFO hook.py line 689 195048] cabinet : 0.4852 0.5696 +[2025-03-25 05:00:18,863 INFO hook.py line 689 195048] bed : 0.6985 0.7926 +[2025-03-25 05:00:18,863 INFO hook.py line 689 195048] chair : 0.8638 0.9134 +[2025-03-25 05:00:18,863 INFO hook.py line 689 195048] sofa : 0.7552 0.8343 +[2025-03-25 05:00:18,863 INFO hook.py line 689 195048] table : 0.6090 0.7302 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] door : 0.4910 0.5842 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] window : 0.4574 0.7435 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] bookshelf : 0.7230 0.9035 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] picture : 0.1786 0.2193 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] counter : 0.5016 0.7822 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] desk : 0.4690 0.6275 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] curtain : 0.5589 0.6530 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] refridgerator : 0.3118 0.3187 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] shower curtain : 0.4662 0.5226 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] toilet : 0.8563 0.9242 +[2025-03-25 05:00:18,864 INFO hook.py line 689 195048] sink : 0.5418 0.6924 +[2025-03-25 05:00:18,865 INFO hook.py line 689 195048] bathtub : 0.7677 0.9083 +[2025-03-25 05:00:18,865 INFO hook.py line 689 195048] otherfurniture : 0.4411 0.6683 +[2025-03-25 05:00:18,865 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:00:18,865 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5958/0.7133/0.8502. +[2025-03-25 05:00:18,866 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:00:18,874 INFO misc.py line 164 195048] Currently Best mIoU: 0.6018 +[2025-03-25 05:00:18,874 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:00:32,602 INFO hook.py line 566 195048] Train: [18/100][50/400] Data 0.002 (0.003) Batch 0.222 (0.202) Remain 01:51:23 loss: 0.7108 Lr: 2.88109e-03 +[2025-03-25 05:00:42,551 INFO hook.py line 566 195048] Train: [18/100][100/400] Data 0.002 (0.003) Batch 0.188 (0.200) Remain 01:50:27 loss: 0.9473 Lr: 2.87866e-03 +[2025-03-25 05:00:52,537 INFO hook.py line 566 195048] Train: [18/100][150/400] Data 0.003 (0.003) Batch 0.197 (0.200) Remain 01:50:12 loss: 0.9397 Lr: 2.87620e-03 +[2025-03-25 05:01:02,618 INFO hook.py line 566 195048] Train: [18/100][200/400] Data 0.003 (0.003) Batch 0.180 (0.200) Remain 01:50:15 loss: 0.4019 Lr: 2.87372e-03 +[2025-03-25 05:01:12,602 INFO hook.py line 566 195048] Train: [18/100][250/400] Data 0.002 (0.003) Batch 0.196 (0.200) Remain 01:49:59 loss: 0.6365 Lr: 2.87122e-03 +[2025-03-25 05:01:22,657 INFO hook.py line 566 195048] Train: [18/100][300/400] Data 0.003 (0.003) Batch 0.215 (0.200) Remain 01:49:54 loss: 0.6100 Lr: 2.86870e-03 +[2025-03-25 05:01:32,408 INFO hook.py line 566 195048] Train: [18/100][350/400] Data 0.003 (0.003) Batch 0.195 (0.200) Remain 01:49:18 loss: 0.9107 Lr: 2.86615e-03 +[2025-03-25 05:01:41,443 INFO hook.py line 566 195048] Train: [18/100][400/400] Data 0.001 (0.003) Batch 0.143 (0.197) Remain 01:47:50 loss: 0.6612 Lr: 2.86358e-03 +[2025-03-25 05:01:41,443 INFO misc.py line 135 195048] Train result: loss: 0.7258 +[2025-03-25 05:01:41,517 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:01:52,166 INFO hook.py line 748 195048] Test: [1/78] Loss 0.4627 +[2025-03-25 05:01:52,209 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6641 +[2025-03-25 05:01:52,249 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3914 +[2025-03-25 05:01:52,703 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4769 +[2025-03-25 05:01:52,731 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4497 +[2025-03-25 05:01:52,790 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3297 +[2025-03-25 05:01:52,837 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6327 +[2025-03-25 05:01:52,869 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3647 +[2025-03-25 05:01:52,917 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0828 +[2025-03-25 05:01:52,946 INFO hook.py line 748 195048] Test: [10/78] Loss 1.4810 +[2025-03-25 05:01:53,076 INFO hook.py line 748 195048] Test: [11/78] Loss 0.4890 +[2025-03-25 05:01:53,113 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1208 +[2025-03-25 05:01:53,156 INFO hook.py line 748 195048] Test: [13/78] Loss 2.0749 +[2025-03-25 05:01:53,192 INFO hook.py line 748 195048] Test: [14/78] Loss 1.6697 +[2025-03-25 05:01:53,224 INFO hook.py line 748 195048] Test: [15/78] Loss 1.3449 +[2025-03-25 05:01:53,266 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1596 +[2025-03-25 05:01:53,301 INFO hook.py line 748 195048] Test: [17/78] Loss 1.2946 +[2025-03-25 05:01:53,331 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8683 +[2025-03-25 05:01:53,372 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9736 +[2025-03-25 05:01:53,408 INFO hook.py line 748 195048] Test: [20/78] Loss 0.6817 +[2025-03-25 05:01:53,448 INFO hook.py line 748 195048] Test: [21/78] Loss 0.4545 +[2025-03-25 05:01:53,485 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4335 +[2025-03-25 05:01:53,509 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9224 +[2025-03-25 05:01:53,549 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7868 +[2025-03-25 05:01:53,588 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0594 +[2025-03-25 05:01:53,626 INFO hook.py line 748 195048] Test: [26/78] Loss 0.9211 +[2025-03-25 05:01:53,673 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2541 +[2025-03-25 05:01:53,701 INFO hook.py line 748 195048] Test: [28/78] Loss 0.8394 +[2025-03-25 05:01:53,727 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3070 +[2025-03-25 05:01:53,780 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5263 +[2025-03-25 05:01:53,837 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5850 +[2025-03-25 05:01:53,872 INFO hook.py line 748 195048] Test: [32/78] Loss 1.2238 +[2025-03-25 05:01:53,919 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2861 +[2025-03-25 05:01:53,955 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0872 +[2025-03-25 05:01:53,991 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4191 +[2025-03-25 05:01:54,022 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0188 +[2025-03-25 05:01:54,055 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5367 +[2025-03-25 05:01:54,087 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4143 +[2025-03-25 05:01:54,141 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5268 +[2025-03-25 05:01:54,185 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6623 +[2025-03-25 05:01:54,223 INFO hook.py line 748 195048] Test: [41/78] Loss 1.4166 +[2025-03-25 05:01:54,247 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4592 +[2025-03-25 05:01:54,278 INFO hook.py line 748 195048] Test: [43/78] Loss 0.6201 +[2025-03-25 05:01:54,332 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7821 +[2025-03-25 05:01:54,371 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6397 +[2025-03-25 05:01:54,414 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7073 +[2025-03-25 05:01:54,453 INFO hook.py line 748 195048] Test: [47/78] Loss 1.5629 +[2025-03-25 05:01:54,485 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5742 +[2025-03-25 05:01:54,516 INFO hook.py line 748 195048] Test: [49/78] Loss 0.9310 +[2025-03-25 05:01:54,550 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9480 +[2025-03-25 05:01:54,580 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1096 +[2025-03-25 05:01:54,614 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9570 +[2025-03-25 05:01:54,642 INFO hook.py line 748 195048] Test: [53/78] Loss 0.7307 +[2025-03-25 05:01:54,679 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4590 +[2025-03-25 05:01:54,713 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1175 +[2025-03-25 05:01:54,749 INFO hook.py line 748 195048] Test: [56/78] Loss 0.4889 +[2025-03-25 05:01:54,778 INFO hook.py line 748 195048] Test: [57/78] Loss 1.2379 +[2025-03-25 05:01:54,803 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7643 +[2025-03-25 05:01:54,838 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7553 +[2025-03-25 05:01:54,866 INFO hook.py line 748 195048] Test: [60/78] Loss 1.0351 +[2025-03-25 05:01:54,886 INFO hook.py line 748 195048] Test: [61/78] Loss 1.0759 +[2025-03-25 05:01:54,915 INFO hook.py line 748 195048] Test: [62/78] Loss 1.0001 +[2025-03-25 05:01:54,948 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1764 +[2025-03-25 05:01:54,998 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6177 +[2025-03-25 05:01:55,021 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2257 +[2025-03-25 05:01:55,058 INFO hook.py line 748 195048] Test: [66/78] Loss 1.1820 +[2025-03-25 05:01:55,092 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4070 +[2025-03-25 05:01:55,121 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0051 +[2025-03-25 05:01:55,147 INFO hook.py line 748 195048] Test: [69/78] Loss 0.5234 +[2025-03-25 05:01:55,200 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4385 +[2025-03-25 05:01:55,237 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0466 +[2025-03-25 05:01:55,283 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4431 +[2025-03-25 05:01:55,326 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7056 +[2025-03-25 05:01:55,363 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3866 +[2025-03-25 05:01:55,409 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5258 +[2025-03-25 05:01:55,434 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8272 +[2025-03-25 05:01:55,484 INFO hook.py line 748 195048] Test: [77/78] Loss 1.4141 +[2025-03-25 05:01:55,507 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5837 +[2025-03-25 05:01:56,471 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:01:56,472 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:01:56,472 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:01:56,472 INFO hook.py line 689 195048] wall : 0.7576 0.8269 +[2025-03-25 05:01:56,472 INFO hook.py line 689 195048] floor : 0.9551 0.9828 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] cabinet : 0.4612 0.6061 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] bed : 0.7290 0.8371 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] chair : 0.8289 0.9184 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] sofa : 0.6817 0.7753 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] table : 0.6111 0.7718 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] door : 0.4925 0.7320 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] window : 0.4647 0.6627 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] bookshelf : 0.4210 0.8663 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] picture : 0.2276 0.4211 +[2025-03-25 05:01:56,473 INFO hook.py line 689 195048] counter : 0.5030 0.7023 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] desk : 0.4792 0.7410 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] curtain : 0.5861 0.7264 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] refridgerator : 0.3541 0.3857 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] shower curtain : 0.6294 0.6891 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] toilet : 0.8591 0.9609 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] sink : 0.5300 0.5830 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] bathtub : 0.8622 0.9208 +[2025-03-25 05:01:56,474 INFO hook.py line 689 195048] otherfurniture : 0.3685 0.4255 +[2025-03-25 05:01:56,474 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:01:56,474 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5901/0.7268/0.8303. +[2025-03-25 05:01:56,475 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:01:56,489 INFO misc.py line 164 195048] Currently Best mIoU: 0.6018 +[2025-03-25 05:01:56,489 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:02:09,809 INFO hook.py line 566 195048] Train: [19/100][50/400] Data 0.002 (0.003) Batch 0.189 (0.206) Remain 01:52:38 loss: 0.6530 Lr: 2.86098e-03 +[2025-03-25 05:02:19,868 INFO hook.py line 566 195048] Train: [19/100][100/400] Data 0.003 (0.003) Batch 0.218 (0.204) Remain 01:51:00 loss: 0.9318 Lr: 2.85836e-03 +[2025-03-25 05:02:29,703 INFO hook.py line 566 195048] Train: [19/100][150/400] Data 0.003 (0.003) Batch 0.192 (0.201) Remain 01:49:32 loss: 0.8225 Lr: 2.85572e-03 +[2025-03-25 05:02:39,675 INFO hook.py line 566 195048] Train: [19/100][200/400] Data 0.002 (0.003) Batch 0.193 (0.201) Remain 01:49:07 loss: 0.4693 Lr: 2.85306e-03 +[2025-03-25 05:02:49,592 INFO hook.py line 566 195048] Train: [19/100][250/400] Data 0.003 (0.003) Batch 0.202 (0.200) Remain 01:48:40 loss: 0.5537 Lr: 2.85037e-03 +[2025-03-25 05:02:59,360 INFO hook.py line 566 195048] Train: [19/100][300/400] Data 0.003 (0.003) Batch 0.201 (0.199) Remain 01:48:03 loss: 0.7082 Lr: 2.84766e-03 +[2025-03-25 05:03:09,541 INFO hook.py line 566 195048] Train: [19/100][350/400] Data 0.003 (0.003) Batch 0.216 (0.200) Remain 01:48:12 loss: 0.4693 Lr: 2.84492e-03 +[2025-03-25 05:03:18,661 INFO hook.py line 566 195048] Train: [19/100][400/400] Data 0.001 (0.003) Batch 0.139 (0.198) Remain 01:46:50 loss: 0.7968 Lr: 2.84217e-03 +[2025-03-25 05:03:18,661 INFO misc.py line 135 195048] Train result: loss: 0.7132 +[2025-03-25 05:03:18,744 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:03:29,223 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2627 +[2025-03-25 05:03:29,277 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6812 +[2025-03-25 05:03:29,338 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3852 +[2025-03-25 05:03:29,391 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4742 +[2025-03-25 05:03:29,520 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5314 +[2025-03-25 05:03:29,569 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3174 +[2025-03-25 05:03:29,616 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6758 +[2025-03-25 05:03:29,650 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5571 +[2025-03-25 05:03:29,913 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9959 +[2025-03-25 05:03:29,946 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8472 +[2025-03-25 05:03:29,989 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6615 +[2025-03-25 05:03:30,020 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9629 +[2025-03-25 05:03:30,063 INFO hook.py line 748 195048] Test: [13/78] Loss 2.0002 +[2025-03-25 05:03:30,097 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8434 +[2025-03-25 05:03:30,131 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7102 +[2025-03-25 05:03:30,172 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1822 +[2025-03-25 05:03:30,207 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6642 +[2025-03-25 05:03:30,236 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0283 +[2025-03-25 05:03:30,276 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0553 +[2025-03-25 05:03:30,316 INFO hook.py line 748 195048] Test: [20/78] Loss 0.9107 +[2025-03-25 05:03:30,348 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3830 +[2025-03-25 05:03:30,383 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3333 +[2025-03-25 05:03:30,410 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9848 +[2025-03-25 05:03:30,450 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7135 +[2025-03-25 05:03:30,488 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8755 +[2025-03-25 05:03:30,530 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8646 +[2025-03-25 05:03:30,576 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4949 +[2025-03-25 05:03:30,606 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4270 +[2025-03-25 05:03:30,631 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3666 +[2025-03-25 05:03:30,681 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5965 +[2025-03-25 05:03:30,736 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5572 +[2025-03-25 05:03:30,774 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7232 +[2025-03-25 05:03:30,822 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2985 +[2025-03-25 05:03:30,862 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0286 +[2025-03-25 05:03:30,896 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4790 +[2025-03-25 05:03:30,927 INFO hook.py line 748 195048] Test: [36/78] Loss 0.8766 +[2025-03-25 05:03:30,959 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6477 +[2025-03-25 05:03:30,989 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5634 +[2025-03-25 05:03:31,044 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4017 +[2025-03-25 05:03:31,085 INFO hook.py line 748 195048] Test: [40/78] Loss 1.4354 +[2025-03-25 05:03:31,125 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0315 +[2025-03-25 05:03:31,150 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2094 +[2025-03-25 05:03:31,182 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2832 +[2025-03-25 05:03:31,237 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6482 +[2025-03-25 05:03:31,268 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4188 +[2025-03-25 05:03:31,309 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7526 +[2025-03-25 05:03:31,347 INFO hook.py line 748 195048] Test: [47/78] Loss 1.6185 +[2025-03-25 05:03:31,381 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8057 +[2025-03-25 05:03:31,414 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3498 +[2025-03-25 05:03:31,444 INFO hook.py line 748 195048] Test: [50/78] Loss 0.7610 +[2025-03-25 05:03:31,471 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0754 +[2025-03-25 05:03:31,506 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0466 +[2025-03-25 05:03:31,536 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5049 +[2025-03-25 05:03:31,572 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1367 +[2025-03-25 05:03:31,607 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1050 +[2025-03-25 05:03:31,643 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3874 +[2025-03-25 05:03:31,673 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0809 +[2025-03-25 05:03:31,697 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8281 +[2025-03-25 05:03:31,731 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9230 +[2025-03-25 05:03:31,760 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7902 +[2025-03-25 05:03:31,780 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5617 +[2025-03-25 05:03:31,809 INFO hook.py line 748 195048] Test: [62/78] Loss 0.9661 +[2025-03-25 05:03:31,841 INFO hook.py line 748 195048] Test: [63/78] Loss 0.8647 +[2025-03-25 05:03:31,891 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7620 +[2025-03-25 05:03:31,914 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2344 +[2025-03-25 05:03:31,952 INFO hook.py line 748 195048] Test: [66/78] Loss 1.1087 +[2025-03-25 05:03:31,986 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6689 +[2025-03-25 05:03:32,015 INFO hook.py line 748 195048] Test: [68/78] Loss 0.8081 +[2025-03-25 05:03:32,041 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3799 +[2025-03-25 05:03:32,094 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1071 +[2025-03-25 05:03:32,132 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9981 +[2025-03-25 05:03:32,177 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5349 +[2025-03-25 05:03:32,221 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8156 +[2025-03-25 05:03:32,258 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1086 +[2025-03-25 05:03:32,304 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6065 +[2025-03-25 05:03:32,329 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9067 +[2025-03-25 05:03:32,378 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5259 +[2025-03-25 05:03:32,401 INFO hook.py line 748 195048] Test: [78/78] Loss 1.0673 +[2025-03-25 05:03:33,438 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:03:33,438 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:03:33,439 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:03:33,439 INFO hook.py line 689 195048] wall : 0.7712 0.8675 +[2025-03-25 05:03:33,439 INFO hook.py line 689 195048] floor : 0.9530 0.9847 +[2025-03-25 05:03:33,439 INFO hook.py line 689 195048] cabinet : 0.5382 0.6862 +[2025-03-25 05:03:33,439 INFO hook.py line 689 195048] bed : 0.6391 0.8749 +[2025-03-25 05:03:33,439 INFO hook.py line 689 195048] chair : 0.8651 0.9058 +[2025-03-25 05:03:33,440 INFO hook.py line 689 195048] sofa : 0.7166 0.8140 +[2025-03-25 05:03:33,440 INFO hook.py line 689 195048] table : 0.6594 0.7238 +[2025-03-25 05:03:33,440 INFO hook.py line 689 195048] door : 0.4853 0.7695 +[2025-03-25 05:03:33,440 INFO hook.py line 689 195048] window : 0.4499 0.6178 +[2025-03-25 05:03:33,440 INFO hook.py line 689 195048] bookshelf : 0.7369 0.8586 +[2025-03-25 05:03:33,440 INFO hook.py line 689 195048] picture : 0.2041 0.4382 +[2025-03-25 05:03:33,440 INFO hook.py line 689 195048] counter : 0.5470 0.6254 +[2025-03-25 05:03:33,441 INFO hook.py line 689 195048] desk : 0.5315 0.7934 +[2025-03-25 05:03:33,441 INFO hook.py line 689 195048] curtain : 0.5642 0.6077 +[2025-03-25 05:03:33,441 INFO hook.py line 689 195048] refridgerator : 0.4116 0.4525 +[2025-03-25 05:03:33,441 INFO hook.py line 689 195048] shower curtain : 0.5758 0.7097 +[2025-03-25 05:03:33,441 INFO hook.py line 689 195048] toilet : 0.8498 0.9448 +[2025-03-25 05:03:33,441 INFO hook.py line 689 195048] sink : 0.5557 0.6437 +[2025-03-25 05:03:33,441 INFO hook.py line 689 195048] bathtub : 0.7766 0.9244 +[2025-03-25 05:03:33,442 INFO hook.py line 689 195048] otherfurniture : 0.4437 0.5449 +[2025-03-25 05:03:33,442 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:03:33,442 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6137/0.7394/0.8493. +[2025-03-25 05:03:33,443 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:03:33,456 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6137 +[2025-03-25 05:03:33,456 INFO misc.py line 164 195048] Currently Best mIoU: 0.6137 +[2025-03-25 05:03:33,457 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:03:47,355 INFO hook.py line 566 195048] Train: [20/100][50/400] Data 0.003 (0.009) Batch 0.203 (0.204) Remain 01:49:55 loss: 0.7917 Lr: 2.83939e-03 +[2025-03-25 05:03:57,400 INFO hook.py line 566 195048] Train: [20/100][100/400] Data 0.002 (0.006) Batch 0.194 (0.202) Remain 01:48:55 loss: 0.9938 Lr: 2.83658e-03 +[2025-03-25 05:04:07,239 INFO hook.py line 566 195048] Train: [20/100][150/400] Data 0.003 (0.005) Batch 0.187 (0.200) Remain 01:47:44 loss: 0.8207 Lr: 2.83376e-03 +[2025-03-25 05:04:17,098 INFO hook.py line 566 195048] Train: [20/100][200/400] Data 0.003 (0.004) Batch 0.203 (0.200) Remain 01:47:07 loss: 0.4293 Lr: 2.83091e-03 +[2025-03-25 05:04:26,944 INFO hook.py line 566 195048] Train: [20/100][250/400] Data 0.003 (0.004) Batch 0.191 (0.199) Remain 01:46:40 loss: 0.8208 Lr: 2.82804e-03 +[2025-03-25 05:04:37,069 INFO hook.py line 566 195048] Train: [20/100][300/400] Data 0.003 (0.004) Batch 0.196 (0.200) Remain 01:46:48 loss: 0.9467 Lr: 2.82514e-03 +[2025-03-25 05:04:46,979 INFO hook.py line 566 195048] Train: [20/100][350/400] Data 0.002 (0.004) Batch 0.199 (0.199) Remain 01:46:32 loss: 0.7541 Lr: 2.82223e-03 +[2025-03-25 05:04:55,970 INFO hook.py line 566 195048] Train: [20/100][400/400] Data 0.001 (0.004) Batch 0.145 (0.197) Remain 01:45:03 loss: 0.6730 Lr: 2.81929e-03 +[2025-03-25 05:04:55,970 INFO misc.py line 135 195048] Train result: loss: 0.7189 +[2025-03-25 05:04:56,058 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:05:06,506 INFO hook.py line 748 195048] Test: [1/78] Loss 0.4568 +[2025-03-25 05:05:07,148 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8542 +[2025-03-25 05:05:07,189 INFO hook.py line 748 195048] Test: [3/78] Loss 1.1223 +[2025-03-25 05:05:07,243 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5282 +[2025-03-25 05:05:07,283 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5240 +[2025-03-25 05:05:07,336 INFO hook.py line 748 195048] Test: [6/78] Loss 1.9748 +[2025-03-25 05:05:07,384 INFO hook.py line 748 195048] Test: [7/78] Loss 1.0264 +[2025-03-25 05:05:07,409 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3333 +[2025-03-25 05:05:07,448 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0395 +[2025-03-25 05:05:07,475 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9791 +[2025-03-25 05:05:07,516 INFO hook.py line 748 195048] Test: [11/78] Loss 0.8258 +[2025-03-25 05:05:07,546 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2342 +[2025-03-25 05:05:07,593 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8680 +[2025-03-25 05:05:07,627 INFO hook.py line 748 195048] Test: [14/78] Loss 1.6454 +[2025-03-25 05:05:07,661 INFO hook.py line 748 195048] Test: [15/78] Loss 1.0832 +[2025-03-25 05:05:07,702 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2001 +[2025-03-25 05:05:07,738 INFO hook.py line 748 195048] Test: [17/78] Loss 0.4535 +[2025-03-25 05:05:07,767 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9886 +[2025-03-25 05:05:07,810 INFO hook.py line 748 195048] Test: [19/78] Loss 1.6052 +[2025-03-25 05:05:07,842 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0276 +[2025-03-25 05:05:07,874 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3334 +[2025-03-25 05:05:07,910 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5209 +[2025-03-25 05:05:07,937 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0552 +[2025-03-25 05:05:07,976 INFO hook.py line 748 195048] Test: [24/78] Loss 1.6065 +[2025-03-25 05:05:08,015 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8558 +[2025-03-25 05:05:08,052 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5032 +[2025-03-25 05:05:08,098 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2124 +[2025-03-25 05:05:08,128 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5496 +[2025-03-25 05:05:08,159 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3198 +[2025-03-25 05:05:08,209 INFO hook.py line 748 195048] Test: [30/78] Loss 0.8533 +[2025-03-25 05:05:08,265 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5660 +[2025-03-25 05:05:08,296 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7693 +[2025-03-25 05:05:08,344 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3219 +[2025-03-25 05:05:08,383 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2305 +[2025-03-25 05:05:08,420 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4657 +[2025-03-25 05:05:08,463 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4169 +[2025-03-25 05:05:08,497 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6870 +[2025-03-25 05:05:08,525 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4345 +[2025-03-25 05:05:08,579 INFO hook.py line 748 195048] Test: [39/78] Loss 2.1783 +[2025-03-25 05:05:08,619 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7259 +[2025-03-25 05:05:08,661 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9762 +[2025-03-25 05:05:08,686 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2828 +[2025-03-25 05:05:08,717 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4298 +[2025-03-25 05:05:08,767 INFO hook.py line 748 195048] Test: [44/78] Loss 1.2357 +[2025-03-25 05:05:08,796 INFO hook.py line 748 195048] Test: [45/78] Loss 0.8805 +[2025-03-25 05:05:08,837 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6764 +[2025-03-25 05:05:08,882 INFO hook.py line 748 195048] Test: [47/78] Loss 2.6262 +[2025-03-25 05:05:08,914 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8733 +[2025-03-25 05:05:08,950 INFO hook.py line 748 195048] Test: [49/78] Loss 1.0964 +[2025-03-25 05:05:08,988 INFO hook.py line 748 195048] Test: [50/78] Loss 1.8874 +[2025-03-25 05:05:09,021 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8479 +[2025-03-25 05:05:09,058 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2116 +[2025-03-25 05:05:09,089 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6143 +[2025-03-25 05:05:09,125 INFO hook.py line 748 195048] Test: [54/78] Loss 1.9282 +[2025-03-25 05:05:09,160 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1138 +[2025-03-25 05:05:09,195 INFO hook.py line 748 195048] Test: [56/78] Loss 0.5945 +[2025-03-25 05:05:09,224 INFO hook.py line 748 195048] Test: [57/78] Loss 2.4316 +[2025-03-25 05:05:09,246 INFO hook.py line 748 195048] Test: [58/78] Loss 0.9112 +[2025-03-25 05:05:09,281 INFO hook.py line 748 195048] Test: [59/78] Loss 1.0810 +[2025-03-25 05:05:09,310 INFO hook.py line 748 195048] Test: [60/78] Loss 1.1283 +[2025-03-25 05:05:09,331 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7103 +[2025-03-25 05:05:09,360 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4841 +[2025-03-25 05:05:09,391 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2138 +[2025-03-25 05:05:09,442 INFO hook.py line 748 195048] Test: [64/78] Loss 2.0418 +[2025-03-25 05:05:09,466 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1416 +[2025-03-25 05:05:09,503 INFO hook.py line 748 195048] Test: [66/78] Loss 1.8701 +[2025-03-25 05:05:09,537 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5590 +[2025-03-25 05:05:09,565 INFO hook.py line 748 195048] Test: [68/78] Loss 1.5879 +[2025-03-25 05:05:09,591 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3303 +[2025-03-25 05:05:09,643 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2161 +[2025-03-25 05:05:09,681 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8618 +[2025-03-25 05:05:09,727 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3740 +[2025-03-25 05:05:09,771 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8018 +[2025-03-25 05:05:09,808 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0644 +[2025-03-25 05:05:09,854 INFO hook.py line 748 195048] Test: [75/78] Loss 0.4935 +[2025-03-25 05:05:09,880 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9364 +[2025-03-25 05:05:09,930 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7253 +[2025-03-25 05:05:09,953 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9051 +[2025-03-25 05:05:10,885 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:05:10,885 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:05:10,886 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] wall : 0.7290 0.8228 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] floor : 0.9348 0.9455 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] cabinet : 0.5157 0.6348 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] bed : 0.6822 0.8406 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] chair : 0.8318 0.9499 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] sofa : 0.7036 0.7731 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] table : 0.6328 0.7811 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] door : 0.4264 0.4787 +[2025-03-25 05:05:10,886 INFO hook.py line 689 195048] window : 0.4686 0.6493 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] bookshelf : 0.3709 0.9591 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] picture : 0.1081 0.4838 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] counter : 0.5532 0.7553 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] desk : 0.4036 0.4823 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] curtain : 0.6124 0.7626 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] refridgerator : 0.2884 0.3400 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] shower curtain : 0.6592 0.7572 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] toilet : 0.8391 0.9380 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] sink : 0.4994 0.7819 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] bathtub : 0.8138 0.8759 +[2025-03-25 05:05:10,887 INFO hook.py line 689 195048] otherfurniture : 0.3884 0.4669 +[2025-03-25 05:05:10,888 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:05:10,888 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5731/0.7239/0.8130. +[2025-03-25 05:05:10,888 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:05:10,904 INFO misc.py line 164 195048] Currently Best mIoU: 0.6137 +[2025-03-25 05:05:10,904 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:05:24,445 INFO hook.py line 566 195048] Train: [21/100][50/400] Data 0.003 (0.003) Batch 0.186 (0.193) Remain 01:42:45 loss: 0.6783 Lr: 2.81633e-03 +[2025-03-25 05:05:34,304 INFO hook.py line 566 195048] Train: [21/100][100/400] Data 0.004 (0.003) Batch 0.200 (0.195) Remain 01:43:44 loss: 0.9973 Lr: 2.81334e-03 +[2025-03-25 05:05:44,254 INFO hook.py line 566 195048] Train: [21/100][150/400] Data 0.005 (0.003) Batch 0.204 (0.196) Remain 01:44:17 loss: 0.5425 Lr: 2.81034e-03 +[2025-03-25 05:05:54,440 INFO hook.py line 566 195048] Train: [21/100][200/400] Data 0.002 (0.003) Batch 0.184 (0.198) Remain 01:45:05 loss: 0.7058 Lr: 2.80731e-03 +[2025-03-25 05:06:04,454 INFO hook.py line 566 195048] Train: [21/100][250/400] Data 0.003 (0.003) Batch 0.200 (0.199) Remain 01:45:08 loss: 0.9131 Lr: 2.80426e-03 +[2025-03-25 05:06:14,544 INFO hook.py line 566 195048] Train: [21/100][300/400] Data 0.003 (0.003) Batch 0.184 (0.199) Remain 01:45:15 loss: 0.5828 Lr: 2.80118e-03 +[2025-03-25 05:06:24,510 INFO hook.py line 566 195048] Train: [21/100][350/400] Data 0.004 (0.003) Batch 0.197 (0.199) Remain 01:45:05 loss: 0.5025 Lr: 2.79809e-03 +[2025-03-25 05:06:33,337 INFO hook.py line 566 195048] Train: [21/100][400/400] Data 0.001 (0.003) Batch 0.151 (0.196) Remain 01:43:25 loss: 0.5982 Lr: 2.79497e-03 +[2025-03-25 05:06:33,338 INFO misc.py line 135 195048] Train result: loss: 0.7043 +[2025-03-25 05:06:33,426 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:06:43,693 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2265 +[2025-03-25 05:06:43,741 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7412 +[2025-03-25 05:06:43,884 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4491 +[2025-03-25 05:06:43,933 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5758 +[2025-03-25 05:06:44,534 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5397 +[2025-03-25 05:06:44,599 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3870 +[2025-03-25 05:06:44,645 INFO hook.py line 748 195048] Test: [7/78] Loss 0.8078 +[2025-03-25 05:06:44,673 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3070 +[2025-03-25 05:06:44,719 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9706 +[2025-03-25 05:06:44,747 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8020 +[2025-03-25 05:06:44,878 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5893 +[2025-03-25 05:06:44,907 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0638 +[2025-03-25 05:06:44,950 INFO hook.py line 748 195048] Test: [13/78] Loss 2.0372 +[2025-03-25 05:06:44,984 INFO hook.py line 748 195048] Test: [14/78] Loss 1.6986 +[2025-03-25 05:06:45,017 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4921 +[2025-03-25 05:06:45,059 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2166 +[2025-03-25 05:06:45,102 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5159 +[2025-03-25 05:06:45,139 INFO hook.py line 748 195048] Test: [18/78] Loss 0.6376 +[2025-03-25 05:06:45,178 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1111 +[2025-03-25 05:06:45,210 INFO hook.py line 748 195048] Test: [20/78] Loss 0.6009 +[2025-03-25 05:06:45,246 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3084 +[2025-03-25 05:06:45,282 INFO hook.py line 748 195048] Test: [22/78] Loss 1.2408 +[2025-03-25 05:06:45,308 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1021 +[2025-03-25 05:06:45,350 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0381 +[2025-03-25 05:06:45,386 INFO hook.py line 748 195048] Test: [25/78] Loss 0.6275 +[2025-03-25 05:06:45,424 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6769 +[2025-03-25 05:06:45,470 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2248 +[2025-03-25 05:06:45,499 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5422 +[2025-03-25 05:06:45,535 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2988 +[2025-03-25 05:06:45,582 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6921 +[2025-03-25 05:06:45,636 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4711 +[2025-03-25 05:06:45,675 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6660 +[2025-03-25 05:06:45,723 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2786 +[2025-03-25 05:06:45,757 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0766 +[2025-03-25 05:06:45,794 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4332 +[2025-03-25 05:06:45,829 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2339 +[2025-03-25 05:06:45,862 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6231 +[2025-03-25 05:06:45,890 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3056 +[2025-03-25 05:06:45,944 INFO hook.py line 748 195048] Test: [39/78] Loss 1.1405 +[2025-03-25 05:06:45,985 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5637 +[2025-03-25 05:06:46,027 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8637 +[2025-03-25 05:06:46,051 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2467 +[2025-03-25 05:06:46,083 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2646 +[2025-03-25 05:06:46,142 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5805 +[2025-03-25 05:06:46,171 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5564 +[2025-03-25 05:06:46,213 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6917 +[2025-03-25 05:06:46,249 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8559 +[2025-03-25 05:06:46,280 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5316 +[2025-03-25 05:06:46,312 INFO hook.py line 748 195048] Test: [49/78] Loss 1.1194 +[2025-03-25 05:06:46,346 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1510 +[2025-03-25 05:06:46,382 INFO hook.py line 748 195048] Test: [51/78] Loss 0.7619 +[2025-03-25 05:06:46,417 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2169 +[2025-03-25 05:06:46,449 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5291 +[2025-03-25 05:06:46,488 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2633 +[2025-03-25 05:06:46,523 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0936 +[2025-03-25 05:06:46,559 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3226 +[2025-03-25 05:06:46,588 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9548 +[2025-03-25 05:06:46,611 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7142 +[2025-03-25 05:06:46,645 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7859 +[2025-03-25 05:06:46,674 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6597 +[2025-03-25 05:06:46,694 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8082 +[2025-03-25 05:06:46,723 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6846 +[2025-03-25 05:06:46,755 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2299 +[2025-03-25 05:06:46,805 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6667 +[2025-03-25 05:06:46,829 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1188 +[2025-03-25 05:06:46,866 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7740 +[2025-03-25 05:06:46,900 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3992 +[2025-03-25 05:06:46,929 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0972 +[2025-03-25 05:06:46,955 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3816 +[2025-03-25 05:06:47,007 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1449 +[2025-03-25 05:06:47,046 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8711 +[2025-03-25 05:06:47,091 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3031 +[2025-03-25 05:06:47,135 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6597 +[2025-03-25 05:06:47,173 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2316 +[2025-03-25 05:06:47,219 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5621 +[2025-03-25 05:06:47,244 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9486 +[2025-03-25 05:06:47,293 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3989 +[2025-03-25 05:06:47,316 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6085 +[2025-03-25 05:06:48,303 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:06:48,304 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:06:48,304 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:06:48,304 INFO hook.py line 689 195048] wall : 0.8021 0.9002 +[2025-03-25 05:06:48,304 INFO hook.py line 689 195048] floor : 0.9562 0.9783 +[2025-03-25 05:06:48,304 INFO hook.py line 689 195048] cabinet : 0.5053 0.6115 +[2025-03-25 05:06:48,304 INFO hook.py line 689 195048] bed : 0.6997 0.7585 +[2025-03-25 05:06:48,304 INFO hook.py line 689 195048] chair : 0.8483 0.9285 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] sofa : 0.7452 0.8718 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] table : 0.6136 0.8419 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] door : 0.5447 0.7117 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] window : 0.4774 0.6893 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] bookshelf : 0.6766 0.8721 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] picture : 0.2678 0.3704 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] counter : 0.5113 0.5665 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] desk : 0.4749 0.6291 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] curtain : 0.6144 0.6406 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] refridgerator : 0.4270 0.4762 +[2025-03-25 05:06:48,305 INFO hook.py line 689 195048] shower curtain : 0.5549 0.7042 +[2025-03-25 05:06:48,306 INFO hook.py line 689 195048] toilet : 0.9069 0.9458 +[2025-03-25 05:06:48,306 INFO hook.py line 689 195048] sink : 0.5691 0.7014 +[2025-03-25 05:06:48,306 INFO hook.py line 689 195048] bathtub : 0.7620 0.9421 +[2025-03-25 05:06:48,306 INFO hook.py line 689 195048] otherfurniture : 0.4411 0.5702 +[2025-03-25 05:06:48,306 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:06:48,306 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6199/0.7355/0.8579. +[2025-03-25 05:06:48,307 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:06:48,318 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6199 +[2025-03-25 05:06:48,319 INFO misc.py line 164 195048] Currently Best mIoU: 0.6199 +[2025-03-25 05:06:48,319 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:07:02,304 INFO hook.py line 566 195048] Train: [22/100][50/400] Data 0.003 (0.006) Batch 0.209 (0.207) Remain 01:48:56 loss: 0.7589 Lr: 2.79183e-03 +[2025-03-25 05:07:12,125 INFO hook.py line 566 195048] Train: [22/100][100/400] Data 0.002 (0.005) Batch 0.198 (0.202) Remain 01:45:51 loss: 0.9191 Lr: 2.78867e-03 +[2025-03-25 05:07:22,089 INFO hook.py line 566 195048] Train: [22/100][150/400] Data 0.003 (0.004) Batch 0.191 (0.201) Remain 01:45:16 loss: 1.0826 Lr: 2.78548e-03 +[2025-03-25 05:07:31,989 INFO hook.py line 566 195048] Train: [22/100][200/400] Data 0.002 (0.004) Batch 0.209 (0.200) Remain 01:44:43 loss: 1.0658 Lr: 2.78228e-03 +[2025-03-25 05:07:41,852 INFO hook.py line 566 195048] Train: [22/100][250/400] Data 0.005 (0.003) Batch 0.198 (0.200) Remain 01:44:15 loss: 0.8546 Lr: 2.77911e-03 +[2025-03-25 05:07:51,714 INFO hook.py line 566 195048] Train: [22/100][300/400] Data 0.002 (0.003) Batch 0.198 (0.199) Remain 01:43:53 loss: 0.5525 Lr: 2.77586e-03 +[2025-03-25 05:08:02,122 INFO hook.py line 566 195048] Train: [22/100][350/400] Data 0.002 (0.003) Batch 0.356 (0.200) Remain 01:44:23 loss: 0.4945 Lr: 2.77259e-03 +[2025-03-25 05:08:11,245 INFO hook.py line 566 195048] Train: [22/100][400/400] Data 0.001 (0.003) Batch 0.150 (0.198) Remain 01:43:03 loss: 0.5563 Lr: 2.76930e-03 +[2025-03-25 05:08:11,245 INFO misc.py line 135 195048] Train result: loss: 0.7038 +[2025-03-25 05:08:11,331 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:08:22,543 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2364 +[2025-03-25 05:08:22,595 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7684 +[2025-03-25 05:08:22,632 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4763 +[2025-03-25 05:08:22,682 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5075 +[2025-03-25 05:08:22,721 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5590 +[2025-03-25 05:08:22,833 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6647 +[2025-03-25 05:08:22,878 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5276 +[2025-03-25 05:08:22,902 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3682 +[2025-03-25 05:08:22,949 INFO hook.py line 748 195048] Test: [9/78] Loss 1.2688 +[2025-03-25 05:08:22,978 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7644 +[2025-03-25 05:08:23,020 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7534 +[2025-03-25 05:08:23,057 INFO hook.py line 748 195048] Test: [12/78] Loss 0.7494 +[2025-03-25 05:08:23,099 INFO hook.py line 748 195048] Test: [13/78] Loss 1.6227 +[2025-03-25 05:08:23,134 INFO hook.py line 748 195048] Test: [14/78] Loss 1.9797 +[2025-03-25 05:08:23,167 INFO hook.py line 748 195048] Test: [15/78] Loss 1.5124 +[2025-03-25 05:08:23,209 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3348 +[2025-03-25 05:08:23,244 INFO hook.py line 748 195048] Test: [17/78] Loss 1.0098 +[2025-03-25 05:08:23,273 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7204 +[2025-03-25 05:08:23,312 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1294 +[2025-03-25 05:08:23,341 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0297 +[2025-03-25 05:08:23,373 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3996 +[2025-03-25 05:08:23,410 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4945 +[2025-03-25 05:08:23,436 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9772 +[2025-03-25 05:08:23,475 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1594 +[2025-03-25 05:08:23,511 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9323 +[2025-03-25 05:08:23,549 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7255 +[2025-03-25 05:08:23,593 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6046 +[2025-03-25 05:08:23,632 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4711 +[2025-03-25 05:08:23,658 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3033 +[2025-03-25 05:08:23,709 INFO hook.py line 748 195048] Test: [30/78] Loss 0.9443 +[2025-03-25 05:08:23,762 INFO hook.py line 748 195048] Test: [31/78] Loss 0.7472 +[2025-03-25 05:08:23,794 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5786 +[2025-03-25 05:08:23,841 INFO hook.py line 748 195048] Test: [33/78] Loss 0.5184 +[2025-03-25 05:08:23,876 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0378 +[2025-03-25 05:08:23,914 INFO hook.py line 748 195048] Test: [35/78] Loss 0.7188 +[2025-03-25 05:08:23,947 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3535 +[2025-03-25 05:08:23,983 INFO hook.py line 748 195048] Test: [37/78] Loss 0.8279 +[2025-03-25 05:08:24,012 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4640 +[2025-03-25 05:08:24,067 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5095 +[2025-03-25 05:08:24,109 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8679 +[2025-03-25 05:08:24,149 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0200 +[2025-03-25 05:08:24,173 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1799 +[2025-03-25 05:08:24,205 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2772 +[2025-03-25 05:08:24,257 INFO hook.py line 748 195048] Test: [44/78] Loss 0.8800 +[2025-03-25 05:08:24,285 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5388 +[2025-03-25 05:08:24,326 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7695 +[2025-03-25 05:08:24,361 INFO hook.py line 748 195048] Test: [47/78] Loss 1.6483 +[2025-03-25 05:08:24,392 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7912 +[2025-03-25 05:08:24,430 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2908 +[2025-03-25 05:08:24,464 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2746 +[2025-03-25 05:08:24,490 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2330 +[2025-03-25 05:08:24,526 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2420 +[2025-03-25 05:08:24,551 INFO hook.py line 748 195048] Test: [53/78] Loss 0.8131 +[2025-03-25 05:08:24,589 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1673 +[2025-03-25 05:08:24,627 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1712 +[2025-03-25 05:08:24,662 INFO hook.py line 748 195048] Test: [56/78] Loss 0.5151 +[2025-03-25 05:08:24,691 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9028 +[2025-03-25 05:08:24,713 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8465 +[2025-03-25 05:08:24,748 INFO hook.py line 748 195048] Test: [59/78] Loss 1.0239 +[2025-03-25 05:08:24,776 INFO hook.py line 748 195048] Test: [60/78] Loss 1.0329 +[2025-03-25 05:08:24,798 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7721 +[2025-03-25 05:08:24,826 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6583 +[2025-03-25 05:08:24,858 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2403 +[2025-03-25 05:08:24,909 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5798 +[2025-03-25 05:08:24,932 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1432 +[2025-03-25 05:08:24,969 INFO hook.py line 748 195048] Test: [66/78] Loss 0.5994 +[2025-03-25 05:08:25,003 INFO hook.py line 748 195048] Test: [67/78] Loss 0.8347 +[2025-03-25 05:08:25,032 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2066 +[2025-03-25 05:08:25,058 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3599 +[2025-03-25 05:08:25,110 INFO hook.py line 748 195048] Test: [70/78] Loss 0.9199 +[2025-03-25 05:08:25,148 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0555 +[2025-03-25 05:08:25,193 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4119 +[2025-03-25 05:08:25,239 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6717 +[2025-03-25 05:08:25,277 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0900 +[2025-03-25 05:08:25,323 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7847 +[2025-03-25 05:08:25,347 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1517 +[2025-03-25 05:08:25,397 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7019 +[2025-03-25 05:08:25,420 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9477 +[2025-03-25 05:08:26,340 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:08:26,341 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:08:26,341 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] wall : 0.7689 0.8737 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] floor : 0.9571 0.9793 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] cabinet : 0.4622 0.7603 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] bed : 0.7747 0.8276 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] chair : 0.8046 0.8419 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] sofa : 0.6780 0.9118 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] table : 0.6537 0.7755 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] door : 0.5349 0.7854 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] window : 0.4030 0.4555 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] bookshelf : 0.6225 0.9231 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] picture : 0.1935 0.4508 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] counter : 0.3677 0.8407 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] desk : 0.5011 0.6738 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] curtain : 0.5223 0.5752 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] refridgerator : 0.4548 0.5182 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] shower curtain : 0.4963 0.5539 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] toilet : 0.8522 0.9036 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] sink : 0.5624 0.6572 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] bathtub : 0.8019 0.8544 +[2025-03-25 05:08:26,341 INFO hook.py line 689 195048] otherfurniture : 0.3752 0.3959 +[2025-03-25 05:08:26,341 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:08:26,341 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5894/0.7279/0.8395. +[2025-03-25 05:08:26,341 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:08:26,352 INFO misc.py line 164 195048] Currently Best mIoU: 0.6199 +[2025-03-25 05:08:26,353 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:08:39,491 INFO hook.py line 566 195048] Train: [23/100][50/400] Data 0.004 (0.003) Batch 0.207 (0.203) Remain 01:45:26 loss: 0.6922 Lr: 2.76598e-03 +[2025-03-25 05:08:49,618 INFO hook.py line 566 195048] Train: [23/100][100/400] Data 0.002 (0.003) Batch 0.183 (0.203) Remain 01:45:07 loss: 0.5331 Lr: 2.76265e-03 +[2025-03-25 05:08:59,732 INFO hook.py line 566 195048] Train: [23/100][150/400] Data 0.003 (0.003) Batch 0.206 (0.203) Remain 01:44:51 loss: 0.5188 Lr: 2.75929e-03 +[2025-03-25 05:09:09,781 INFO hook.py line 566 195048] Train: [23/100][200/400] Data 0.003 (0.003) Batch 0.220 (0.202) Remain 01:44:28 loss: 0.4933 Lr: 2.75591e-03 +[2025-03-25 05:09:19,768 INFO hook.py line 566 195048] Train: [23/100][250/400] Data 0.003 (0.003) Batch 0.186 (0.202) Remain 01:44:02 loss: 0.6570 Lr: 2.75251e-03 +[2025-03-25 05:09:29,634 INFO hook.py line 566 195048] Train: [23/100][300/400] Data 0.003 (0.003) Batch 0.199 (0.201) Remain 01:43:29 loss: 0.4544 Lr: 2.74909e-03 +[2025-03-25 05:09:39,504 INFO hook.py line 566 195048] Train: [23/100][350/400] Data 0.002 (0.003) Batch 0.178 (0.200) Remain 01:43:03 loss: 0.7211 Lr: 2.74564e-03 +[2025-03-25 05:09:48,447 INFO hook.py line 566 195048] Train: [23/100][400/400] Data 0.001 (0.003) Batch 0.141 (0.198) Remain 01:41:30 loss: 0.3569 Lr: 2.74218e-03 +[2025-03-25 05:09:48,447 INFO misc.py line 135 195048] Train result: loss: 0.6895 +[2025-03-25 05:09:48,535 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:09:58,850 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2647 +[2025-03-25 05:09:58,909 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7856 +[2025-03-25 05:09:59,371 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5525 +[2025-03-25 05:09:59,415 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5617 +[2025-03-25 05:09:59,446 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4611 +[2025-03-25 05:09:59,504 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3317 +[2025-03-25 05:09:59,552 INFO hook.py line 748 195048] Test: [7/78] Loss 1.0804 +[2025-03-25 05:09:59,581 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5650 +[2025-03-25 05:09:59,626 INFO hook.py line 748 195048] Test: [9/78] Loss 1.2666 +[2025-03-25 05:09:59,656 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9573 +[2025-03-25 05:09:59,795 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7134 +[2025-03-25 05:09:59,828 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2387 +[2025-03-25 05:09:59,873 INFO hook.py line 748 195048] Test: [13/78] Loss 2.1110 +[2025-03-25 05:09:59,908 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8731 +[2025-03-25 05:09:59,941 INFO hook.py line 748 195048] Test: [15/78] Loss 1.3966 +[2025-03-25 05:09:59,984 INFO hook.py line 748 195048] Test: [16/78] Loss 0.4198 +[2025-03-25 05:10:00,019 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6182 +[2025-03-25 05:10:00,048 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8932 +[2025-03-25 05:10:00,087 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4378 +[2025-03-25 05:10:00,116 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1527 +[2025-03-25 05:10:00,149 INFO hook.py line 748 195048] Test: [21/78] Loss 0.4201 +[2025-03-25 05:10:00,185 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5345 +[2025-03-25 05:10:00,210 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9771 +[2025-03-25 05:10:00,250 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9146 +[2025-03-25 05:10:00,290 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9868 +[2025-03-25 05:10:00,328 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6920 +[2025-03-25 05:10:00,373 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2694 +[2025-03-25 05:10:00,402 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4112 +[2025-03-25 05:10:00,427 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3831 +[2025-03-25 05:10:00,477 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5405 +[2025-03-25 05:10:00,531 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4131 +[2025-03-25 05:10:00,562 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7305 +[2025-03-25 05:10:00,613 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3626 +[2025-03-25 05:10:00,653 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1851 +[2025-03-25 05:10:00,686 INFO hook.py line 748 195048] Test: [35/78] Loss 0.6524 +[2025-03-25 05:10:00,719 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3953 +[2025-03-25 05:10:00,754 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4106 +[2025-03-25 05:10:00,783 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4785 +[2025-03-25 05:10:00,839 INFO hook.py line 748 195048] Test: [39/78] Loss 2.0984 +[2025-03-25 05:10:00,881 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9663 +[2025-03-25 05:10:00,922 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9181 +[2025-03-25 05:10:00,948 INFO hook.py line 748 195048] Test: [42/78] Loss 0.5827 +[2025-03-25 05:10:00,980 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3582 +[2025-03-25 05:10:01,034 INFO hook.py line 748 195048] Test: [44/78] Loss 0.8719 +[2025-03-25 05:10:01,063 INFO hook.py line 748 195048] Test: [45/78] Loss 1.1473 +[2025-03-25 05:10:01,105 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6898 +[2025-03-25 05:10:01,139 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8835 +[2025-03-25 05:10:01,171 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8499 +[2025-03-25 05:10:01,202 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7132 +[2025-03-25 05:10:01,235 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2863 +[2025-03-25 05:10:01,262 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8622 +[2025-03-25 05:10:01,296 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0235 +[2025-03-25 05:10:01,325 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5556 +[2025-03-25 05:10:01,365 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8241 +[2025-03-25 05:10:01,399 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1471 +[2025-03-25 05:10:01,435 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2748 +[2025-03-25 05:10:01,465 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8690 +[2025-03-25 05:10:01,488 INFO hook.py line 748 195048] Test: [58/78] Loss 1.0507 +[2025-03-25 05:10:01,523 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9700 +[2025-03-25 05:10:01,552 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6345 +[2025-03-25 05:10:01,571 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6172 +[2025-03-25 05:10:01,600 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6219 +[2025-03-25 05:10:01,632 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0409 +[2025-03-25 05:10:01,683 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4984 +[2025-03-25 05:10:01,706 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3134 +[2025-03-25 05:10:01,744 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8864 +[2025-03-25 05:10:01,778 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4114 +[2025-03-25 05:10:01,807 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2247 +[2025-03-25 05:10:01,833 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4022 +[2025-03-25 05:10:01,886 INFO hook.py line 748 195048] Test: [70/78] Loss 1.0148 +[2025-03-25 05:10:01,924 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1722 +[2025-03-25 05:10:01,970 INFO hook.py line 748 195048] Test: [72/78] Loss 0.9490 +[2025-03-25 05:10:02,013 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5804 +[2025-03-25 05:10:02,050 INFO hook.py line 748 195048] Test: [74/78] Loss 1.7330 +[2025-03-25 05:10:02,096 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7475 +[2025-03-25 05:10:02,121 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6480 +[2025-03-25 05:10:02,170 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4529 +[2025-03-25 05:10:02,193 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9349 +[2025-03-25 05:10:03,219 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:10:03,219 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:10:03,219 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:10:03,219 INFO hook.py line 689 195048] wall : 0.7733 0.8560 +[2025-03-25 05:10:03,219 INFO hook.py line 689 195048] floor : 0.9540 0.9732 +[2025-03-25 05:10:03,219 INFO hook.py line 689 195048] cabinet : 0.5076 0.6146 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] bed : 0.7068 0.8594 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] chair : 0.8319 0.9037 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] sofa : 0.5423 0.9397 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] table : 0.6076 0.7372 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] door : 0.5156 0.6097 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] window : 0.4212 0.7144 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] bookshelf : 0.6967 0.8710 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] picture : 0.2020 0.4611 +[2025-03-25 05:10:03,220 INFO hook.py line 689 195048] counter : 0.5452 0.6801 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] desk : 0.4401 0.5138 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] curtain : 0.5540 0.7534 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] refridgerator : 0.4165 0.4506 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] shower curtain : 0.5730 0.7143 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] toilet : 0.8689 0.9043 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] sink : 0.5332 0.6256 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] bathtub : 0.8055 0.9317 +[2025-03-25 05:10:03,221 INFO hook.py line 689 195048] otherfurniture : 0.4715 0.6470 +[2025-03-25 05:10:03,221 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:10:03,221 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5983/0.7380/0.8413. +[2025-03-25 05:10:03,222 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:10:03,234 INFO misc.py line 164 195048] Currently Best mIoU: 0.6199 +[2025-03-25 05:10:03,234 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:10:16,635 INFO hook.py line 566 195048] Train: [24/100][50/400] Data 0.002 (0.003) Batch 0.201 (0.207) Remain 01:45:57 loss: 0.7241 Lr: 2.73869e-03 +[2025-03-25 05:10:26,603 INFO hook.py line 566 195048] Train: [24/100][100/400] Data 0.003 (0.003) Batch 0.190 (0.203) Remain 01:43:50 loss: 0.8662 Lr: 2.73518e-03 +[2025-03-25 05:10:36,761 INFO hook.py line 566 195048] Train: [24/100][150/400] Data 0.002 (0.003) Batch 0.191 (0.203) Remain 01:43:42 loss: 0.6861 Lr: 2.73166e-03 +[2025-03-25 05:10:46,913 INFO hook.py line 566 195048] Train: [24/100][200/400] Data 0.004 (0.003) Batch 0.218 (0.203) Remain 01:43:32 loss: 0.8008 Lr: 2.72811e-03 +[2025-03-25 05:10:56,966 INFO hook.py line 566 195048] Train: [24/100][250/400] Data 0.002 (0.003) Batch 0.212 (0.203) Remain 01:43:10 loss: 0.7565 Lr: 2.72454e-03 +[2025-03-25 05:11:06,952 INFO hook.py line 566 195048] Train: [24/100][300/400] Data 0.003 (0.003) Batch 0.202 (0.202) Remain 01:42:45 loss: 0.5002 Lr: 2.72095e-03 +[2025-03-25 05:11:16,742 INFO hook.py line 566 195048] Train: [24/100][350/400] Data 0.003 (0.003) Batch 0.189 (0.201) Remain 01:42:07 loss: 1.0196 Lr: 2.71733e-03 +[2025-03-25 05:11:25,613 INFO hook.py line 566 195048] Train: [24/100][400/400] Data 0.001 (0.003) Batch 0.147 (0.198) Remain 01:40:26 loss: 0.4211 Lr: 2.71370e-03 +[2025-03-25 05:11:25,613 INFO misc.py line 135 195048] Train result: loss: 0.6617 +[2025-03-25 05:11:25,703 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:11:36,041 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2355 +[2025-03-25 05:11:36,086 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6715 +[2025-03-25 05:11:36,124 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4118 +[2025-03-25 05:11:36,800 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4346 +[2025-03-25 05:11:36,837 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5412 +[2025-03-25 05:11:36,885 INFO hook.py line 748 195048] Test: [6/78] Loss 1.0410 +[2025-03-25 05:11:37,128 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5467 +[2025-03-25 05:11:37,158 INFO hook.py line 748 195048] Test: [8/78] Loss 0.6538 +[2025-03-25 05:11:37,253 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0321 +[2025-03-25 05:11:37,291 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9452 +[2025-03-25 05:11:37,337 INFO hook.py line 748 195048] Test: [11/78] Loss 0.8195 +[2025-03-25 05:11:37,371 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0869 +[2025-03-25 05:11:37,414 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9164 +[2025-03-25 05:11:37,448 INFO hook.py line 748 195048] Test: [14/78] Loss 2.4006 +[2025-03-25 05:11:37,488 INFO hook.py line 748 195048] Test: [15/78] Loss 1.5896 +[2025-03-25 05:11:37,530 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2030 +[2025-03-25 05:11:37,569 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7630 +[2025-03-25 05:11:37,599 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8631 +[2025-03-25 05:11:37,640 INFO hook.py line 748 195048] Test: [19/78] Loss 0.8362 +[2025-03-25 05:11:37,668 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0301 +[2025-03-25 05:11:37,700 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3149 +[2025-03-25 05:11:37,739 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5408 +[2025-03-25 05:11:37,767 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0931 +[2025-03-25 05:11:37,809 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7389 +[2025-03-25 05:11:37,849 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9758 +[2025-03-25 05:11:37,886 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6998 +[2025-03-25 05:11:37,931 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4131 +[2025-03-25 05:11:37,964 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5881 +[2025-03-25 05:11:37,989 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3090 +[2025-03-25 05:11:38,042 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7303 +[2025-03-25 05:11:38,097 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6796 +[2025-03-25 05:11:38,128 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6749 +[2025-03-25 05:11:38,178 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2776 +[2025-03-25 05:11:38,227 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2235 +[2025-03-25 05:11:38,261 INFO hook.py line 748 195048] Test: [35/78] Loss 0.6148 +[2025-03-25 05:11:38,296 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9637 +[2025-03-25 05:11:38,329 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7301 +[2025-03-25 05:11:38,356 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2858 +[2025-03-25 05:11:38,410 INFO hook.py line 748 195048] Test: [39/78] Loss 1.2467 +[2025-03-25 05:11:38,454 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6271 +[2025-03-25 05:11:38,493 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0898 +[2025-03-25 05:11:38,517 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2552 +[2025-03-25 05:11:38,549 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2652 +[2025-03-25 05:11:38,601 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6170 +[2025-03-25 05:11:38,631 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5994 +[2025-03-25 05:11:38,673 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6824 +[2025-03-25 05:11:38,708 INFO hook.py line 748 195048] Test: [47/78] Loss 2.1498 +[2025-03-25 05:11:38,748 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6502 +[2025-03-25 05:11:38,782 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4046 +[2025-03-25 05:11:38,813 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0253 +[2025-03-25 05:11:38,844 INFO hook.py line 748 195048] Test: [51/78] Loss 0.9029 +[2025-03-25 05:11:38,884 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9248 +[2025-03-25 05:11:38,911 INFO hook.py line 748 195048] Test: [53/78] Loss 0.7059 +[2025-03-25 05:11:38,947 INFO hook.py line 748 195048] Test: [54/78] Loss 1.9361 +[2025-03-25 05:11:38,982 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1235 +[2025-03-25 05:11:39,018 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3257 +[2025-03-25 05:11:39,047 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6618 +[2025-03-25 05:11:39,071 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7309 +[2025-03-25 05:11:39,106 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8438 +[2025-03-25 05:11:39,134 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6543 +[2025-03-25 05:11:39,154 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7786 +[2025-03-25 05:11:39,183 INFO hook.py line 748 195048] Test: [62/78] Loss 0.8606 +[2025-03-25 05:11:39,215 INFO hook.py line 748 195048] Test: [63/78] Loss 0.8477 +[2025-03-25 05:11:39,266 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3911 +[2025-03-25 05:11:39,289 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8424 +[2025-03-25 05:11:39,326 INFO hook.py line 748 195048] Test: [66/78] Loss 0.4822 +[2025-03-25 05:11:39,361 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5903 +[2025-03-25 05:11:39,390 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0499 +[2025-03-25 05:11:39,418 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3262 +[2025-03-25 05:11:39,471 INFO hook.py line 748 195048] Test: [70/78] Loss 0.9029 +[2025-03-25 05:11:39,509 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2048 +[2025-03-25 05:11:39,554 INFO hook.py line 748 195048] Test: [72/78] Loss 0.6936 +[2025-03-25 05:11:39,597 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6628 +[2025-03-25 05:11:39,635 INFO hook.py line 748 195048] Test: [74/78] Loss 1.6564 +[2025-03-25 05:11:39,681 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7269 +[2025-03-25 05:11:39,706 INFO hook.py line 748 195048] Test: [76/78] Loss 1.3003 +[2025-03-25 05:11:39,755 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4591 +[2025-03-25 05:11:39,778 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7893 +[2025-03-25 05:11:40,763 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:11:40,764 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:11:40,764 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] wall : 0.7918 0.9243 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] floor : 0.9542 0.9759 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] cabinet : 0.5344 0.6886 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] bed : 0.6990 0.8498 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] chair : 0.8606 0.9312 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] sofa : 0.7974 0.8691 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] table : 0.5714 0.6071 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] door : 0.5527 0.7015 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] window : 0.4509 0.5628 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] bookshelf : 0.7267 0.8581 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] picture : 0.2358 0.3769 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] counter : 0.5631 0.7224 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] desk : 0.4712 0.8957 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] curtain : 0.6343 0.7110 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] refridgerator : 0.4537 0.4714 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] shower curtain : 0.4768 0.5198 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] toilet : 0.8621 0.9163 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] sink : 0.5642 0.6467 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] bathtub : 0.8347 0.8783 +[2025-03-25 05:11:40,764 INFO hook.py line 689 195048] otherfurniture : 0.4123 0.4845 +[2025-03-25 05:11:40,764 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:11:40,764 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6224/0.7296/0.8575. +[2025-03-25 05:11:40,765 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:11:40,778 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6224 +[2025-03-25 05:11:40,778 INFO misc.py line 164 195048] Currently Best mIoU: 0.6224 +[2025-03-25 05:11:40,778 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:11:54,599 INFO hook.py line 566 195048] Train: [25/100][50/400] Data 0.002 (0.002) Batch 0.176 (0.194) Remain 01:38:14 loss: 0.8062 Lr: 2.71005e-03 +[2025-03-25 05:12:04,465 INFO hook.py line 566 195048] Train: [25/100][100/400] Data 0.002 (0.002) Batch 0.185 (0.196) Remain 01:38:53 loss: 0.7056 Lr: 2.70637e-03 +[2025-03-25 05:12:14,483 INFO hook.py line 566 195048] Train: [25/100][150/400] Data 0.002 (0.003) Batch 0.188 (0.197) Remain 01:39:30 loss: 0.8575 Lr: 2.70268e-03 +[2025-03-25 05:12:24,350 INFO hook.py line 566 195048] Train: [25/100][200/400] Data 0.003 (0.003) Batch 0.200 (0.197) Remain 01:39:20 loss: 0.5579 Lr: 2.69896e-03 +[2025-03-25 05:12:34,373 INFO hook.py line 566 195048] Train: [25/100][250/400] Data 0.003 (0.003) Batch 0.196 (0.198) Remain 01:39:29 loss: 0.6163 Lr: 2.69523e-03 +[2025-03-25 05:12:44,467 INFO hook.py line 566 195048] Train: [25/100][300/400] Data 0.003 (0.003) Batch 0.198 (0.199) Remain 01:39:38 loss: 0.8216 Lr: 2.69147e-03 +[2025-03-25 05:12:54,937 INFO hook.py line 566 195048] Train: [25/100][350/400] Data 0.002 (0.003) Batch 0.377 (0.200) Remain 01:40:15 loss: 0.5934 Lr: 2.68769e-03 +[2025-03-25 05:13:03,671 INFO hook.py line 566 195048] Train: [25/100][400/400] Data 0.001 (0.003) Batch 0.147 (0.197) Remain 01:38:29 loss: 0.3417 Lr: 2.68389e-03 +[2025-03-25 05:13:03,671 INFO misc.py line 135 195048] Train result: loss: 0.6811 +[2025-03-25 05:13:03,760 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:13:14,574 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3118 +[2025-03-25 05:13:14,620 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5723 +[2025-03-25 05:13:14,652 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4722 +[2025-03-25 05:13:14,696 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6664 +[2025-03-25 05:13:14,726 INFO hook.py line 748 195048] Test: [5/78] Loss 0.9535 +[2025-03-25 05:13:14,785 INFO hook.py line 748 195048] Test: [6/78] Loss 1.2686 +[2025-03-25 05:13:15,000 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5899 +[2025-03-25 05:13:15,023 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3939 +[2025-03-25 05:13:15,069 INFO hook.py line 748 195048] Test: [9/78] Loss 1.2896 +[2025-03-25 05:13:15,099 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0216 +[2025-03-25 05:13:15,143 INFO hook.py line 748 195048] Test: [11/78] Loss 0.8994 +[2025-03-25 05:13:15,173 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2155 +[2025-03-25 05:13:15,216 INFO hook.py line 748 195048] Test: [13/78] Loss 1.2517 +[2025-03-25 05:13:15,250 INFO hook.py line 748 195048] Test: [14/78] Loss 2.4017 +[2025-03-25 05:13:15,282 INFO hook.py line 748 195048] Test: [15/78] Loss 2.3091 +[2025-03-25 05:13:15,324 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3555 +[2025-03-25 05:13:15,360 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5443 +[2025-03-25 05:13:15,391 INFO hook.py line 748 195048] Test: [18/78] Loss 1.1925 +[2025-03-25 05:13:15,432 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2792 +[2025-03-25 05:13:15,465 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0189 +[2025-03-25 05:13:15,504 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3954 +[2025-03-25 05:13:15,549 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3120 +[2025-03-25 05:13:15,574 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9595 +[2025-03-25 05:13:15,613 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8726 +[2025-03-25 05:13:15,652 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9585 +[2025-03-25 05:13:15,691 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6535 +[2025-03-25 05:13:15,737 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2405 +[2025-03-25 05:13:15,766 INFO hook.py line 748 195048] Test: [28/78] Loss 0.6137 +[2025-03-25 05:13:15,792 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3215 +[2025-03-25 05:13:15,843 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7082 +[2025-03-25 05:13:15,897 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6847 +[2025-03-25 05:13:15,928 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8176 +[2025-03-25 05:13:15,978 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2117 +[2025-03-25 05:13:16,017 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1370 +[2025-03-25 05:13:16,051 INFO hook.py line 748 195048] Test: [35/78] Loss 0.2415 +[2025-03-25 05:13:16,082 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9757 +[2025-03-25 05:13:16,118 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7123 +[2025-03-25 05:13:16,148 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3635 +[2025-03-25 05:13:16,202 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3567 +[2025-03-25 05:13:16,244 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6676 +[2025-03-25 05:13:16,284 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8297 +[2025-03-25 05:13:16,308 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2474 +[2025-03-25 05:13:16,340 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3908 +[2025-03-25 05:13:16,395 INFO hook.py line 748 195048] Test: [44/78] Loss 0.9539 +[2025-03-25 05:13:16,427 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5192 +[2025-03-25 05:13:16,469 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8337 +[2025-03-25 05:13:16,505 INFO hook.py line 748 195048] Test: [47/78] Loss 2.2230 +[2025-03-25 05:13:16,538 INFO hook.py line 748 195048] Test: [48/78] Loss 0.9137 +[2025-03-25 05:13:16,575 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5999 +[2025-03-25 05:13:16,605 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2284 +[2025-03-25 05:13:16,634 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8215 +[2025-03-25 05:13:16,670 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2703 +[2025-03-25 05:13:16,697 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2749 +[2025-03-25 05:13:16,730 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8566 +[2025-03-25 05:13:16,765 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1228 +[2025-03-25 05:13:16,801 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2894 +[2025-03-25 05:13:16,830 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0282 +[2025-03-25 05:13:16,853 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6731 +[2025-03-25 05:13:16,888 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8665 +[2025-03-25 05:13:16,916 INFO hook.py line 748 195048] Test: [60/78] Loss 0.8427 +[2025-03-25 05:13:16,936 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8930 +[2025-03-25 05:13:16,965 INFO hook.py line 748 195048] Test: [62/78] Loss 0.8266 +[2025-03-25 05:13:16,997 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0399 +[2025-03-25 05:13:17,048 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8432 +[2025-03-25 05:13:17,071 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0055 +[2025-03-25 05:13:17,108 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9558 +[2025-03-25 05:13:17,142 INFO hook.py line 748 195048] Test: [67/78] Loss 0.9680 +[2025-03-25 05:13:17,171 INFO hook.py line 748 195048] Test: [68/78] Loss 1.3941 +[2025-03-25 05:13:17,198 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3498 +[2025-03-25 05:13:17,250 INFO hook.py line 748 195048] Test: [70/78] Loss 1.0777 +[2025-03-25 05:13:17,288 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2585 +[2025-03-25 05:13:17,333 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4613 +[2025-03-25 05:13:17,377 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5320 +[2025-03-25 05:13:17,414 INFO hook.py line 748 195048] Test: [74/78] Loss 1.5801 +[2025-03-25 05:13:17,460 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5754 +[2025-03-25 05:13:17,486 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1212 +[2025-03-25 05:13:17,535 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4722 +[2025-03-25 05:13:17,558 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7526 +[2025-03-25 05:13:18,545 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:13:18,545 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:13:18,545 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:13:18,545 INFO hook.py line 689 195048] wall : 0.7784 0.9059 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] floor : 0.9536 0.9763 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] cabinet : 0.5010 0.7406 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] bed : 0.7039 0.7952 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] chair : 0.8513 0.9122 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] sofa : 0.7233 0.7522 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] table : 0.6489 0.7396 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] door : 0.5167 0.6063 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] window : 0.3926 0.4696 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] bookshelf : 0.6875 0.7673 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] picture : 0.2008 0.4083 +[2025-03-25 05:13:18,546 INFO hook.py line 689 195048] counter : 0.5051 0.7850 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] desk : 0.5292 0.7316 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] curtain : 0.5725 0.6633 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] refridgerator : 0.4168 0.6484 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] shower curtain : 0.5094 0.6925 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] toilet : 0.8110 0.9694 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] sink : 0.5489 0.7063 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] bathtub : 0.7137 0.9205 +[2025-03-25 05:13:18,547 INFO hook.py line 689 195048] otherfurniture : 0.4736 0.6491 +[2025-03-25 05:13:18,547 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:13:18,547 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6019/0.7420/0.8503. +[2025-03-25 05:13:18,547 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:13:18,560 INFO misc.py line 164 195048] Currently Best mIoU: 0.6224 +[2025-03-25 05:13:18,560 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:13:32,473 INFO hook.py line 566 195048] Train: [26/100][50/400] Data 0.003 (0.003) Batch 0.208 (0.193) Remain 01:36:05 loss: 0.5833 Lr: 2.68008e-03 +[2025-03-25 05:13:42,600 INFO hook.py line 566 195048] Train: [26/100][100/400] Data 0.002 (0.003) Batch 0.189 (0.198) Remain 01:38:31 loss: 0.5514 Lr: 2.67624e-03 +[2025-03-25 05:13:52,341 INFO hook.py line 566 195048] Train: [26/100][150/400] Data 0.002 (0.003) Batch 0.201 (0.197) Remain 01:37:51 loss: 0.5995 Lr: 2.67238e-03 +[2025-03-25 05:14:02,356 INFO hook.py line 566 195048] Train: [26/100][200/400] Data 0.003 (0.003) Batch 0.196 (0.198) Remain 01:38:09 loss: 0.7231 Lr: 2.66850e-03 +[2025-03-25 05:14:12,165 INFO hook.py line 566 195048] Train: [26/100][250/400] Data 0.002 (0.003) Batch 0.197 (0.197) Remain 01:37:50 loss: 1.1877 Lr: 2.66461e-03 +[2025-03-25 05:14:22,065 INFO hook.py line 566 195048] Train: [26/100][300/400] Data 0.002 (0.003) Batch 0.228 (0.197) Remain 01:37:44 loss: 0.7877 Lr: 2.66069e-03 +[2025-03-25 05:14:32,084 INFO hook.py line 566 195048] Train: [26/100][350/400] Data 0.002 (0.003) Batch 0.187 (0.198) Remain 01:37:46 loss: 0.6459 Lr: 2.65675e-03 +[2025-03-25 05:14:41,029 INFO hook.py line 566 195048] Train: [26/100][400/400] Data 0.001 (0.003) Batch 0.147 (0.195) Remain 01:36:26 loss: 0.6320 Lr: 2.65280e-03 +[2025-03-25 05:14:41,029 INFO misc.py line 135 195048] Train result: loss: 0.6397 +[2025-03-25 05:14:41,115 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:14:51,536 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2564 +[2025-03-25 05:14:51,710 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8309 +[2025-03-25 05:14:51,757 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4539 +[2025-03-25 05:14:51,804 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5363 +[2025-03-25 05:14:52,059 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5341 +[2025-03-25 05:14:52,124 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4385 +[2025-03-25 05:14:52,171 INFO hook.py line 748 195048] Test: [7/78] Loss 0.9848 +[2025-03-25 05:14:52,201 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5518 +[2025-03-25 05:14:52,251 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0838 +[2025-03-25 05:14:52,280 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9261 +[2025-03-25 05:14:52,369 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5934 +[2025-03-25 05:14:52,399 INFO hook.py line 748 195048] Test: [12/78] Loss 1.4835 +[2025-03-25 05:14:52,443 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8055 +[2025-03-25 05:14:52,485 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8205 +[2025-03-25 05:14:52,517 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0243 +[2025-03-25 05:14:52,558 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2826 +[2025-03-25 05:14:52,593 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8457 +[2025-03-25 05:14:52,621 INFO hook.py line 748 195048] Test: [18/78] Loss 1.1786 +[2025-03-25 05:14:52,662 INFO hook.py line 748 195048] Test: [19/78] Loss 1.6168 +[2025-03-25 05:14:52,691 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0760 +[2025-03-25 05:14:52,723 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3966 +[2025-03-25 05:14:52,760 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3920 +[2025-03-25 05:14:52,786 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7450 +[2025-03-25 05:14:52,826 INFO hook.py line 748 195048] Test: [24/78] Loss 1.2860 +[2025-03-25 05:14:52,867 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9554 +[2025-03-25 05:14:52,905 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8549 +[2025-03-25 05:14:52,950 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2436 +[2025-03-25 05:14:52,987 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5682 +[2025-03-25 05:14:53,014 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3728 +[2025-03-25 05:14:53,065 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7281 +[2025-03-25 05:14:53,120 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4932 +[2025-03-25 05:14:53,152 INFO hook.py line 748 195048] Test: [32/78] Loss 1.0144 +[2025-03-25 05:14:53,199 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3259 +[2025-03-25 05:14:53,234 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1418 +[2025-03-25 05:14:53,272 INFO hook.py line 748 195048] Test: [35/78] Loss 1.2567 +[2025-03-25 05:14:53,305 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2451 +[2025-03-25 05:14:53,341 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7621 +[2025-03-25 05:14:53,367 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5716 +[2025-03-25 05:14:53,422 INFO hook.py line 748 195048] Test: [39/78] Loss 1.2709 +[2025-03-25 05:14:53,463 INFO hook.py line 748 195048] Test: [40/78] Loss 1.3230 +[2025-03-25 05:14:53,512 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2156 +[2025-03-25 05:14:53,540 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4349 +[2025-03-25 05:14:53,572 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3135 +[2025-03-25 05:14:53,626 INFO hook.py line 748 195048] Test: [44/78] Loss 0.8775 +[2025-03-25 05:14:53,658 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4341 +[2025-03-25 05:14:53,705 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6937 +[2025-03-25 05:14:53,738 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8789 +[2025-03-25 05:14:53,772 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7431 +[2025-03-25 05:14:53,803 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2952 +[2025-03-25 05:14:53,837 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1798 +[2025-03-25 05:14:53,875 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8758 +[2025-03-25 05:14:53,908 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0344 +[2025-03-25 05:14:53,937 INFO hook.py line 748 195048] Test: [53/78] Loss 1.3568 +[2025-03-25 05:14:53,973 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0741 +[2025-03-25 05:14:54,007 INFO hook.py line 748 195048] Test: [55/78] Loss 0.2690 +[2025-03-25 05:14:54,042 INFO hook.py line 748 195048] Test: [56/78] Loss 0.4455 +[2025-03-25 05:14:54,072 INFO hook.py line 748 195048] Test: [57/78] Loss 1.6681 +[2025-03-25 05:14:54,095 INFO hook.py line 748 195048] Test: [58/78] Loss 0.9906 +[2025-03-25 05:14:54,129 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9832 +[2025-03-25 05:14:54,158 INFO hook.py line 748 195048] Test: [60/78] Loss 1.2399 +[2025-03-25 05:14:54,178 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7609 +[2025-03-25 05:14:54,207 INFO hook.py line 748 195048] Test: [62/78] Loss 1.0134 +[2025-03-25 05:14:54,239 INFO hook.py line 748 195048] Test: [63/78] Loss 1.7294 +[2025-03-25 05:14:54,289 INFO hook.py line 748 195048] Test: [64/78] Loss 2.1321 +[2025-03-25 05:14:54,312 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0560 +[2025-03-25 05:14:54,349 INFO hook.py line 748 195048] Test: [66/78] Loss 1.3753 +[2025-03-25 05:14:54,383 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5836 +[2025-03-25 05:14:54,411 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1475 +[2025-03-25 05:14:54,437 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4090 +[2025-03-25 05:14:54,490 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4338 +[2025-03-25 05:14:54,528 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1863 +[2025-03-25 05:14:54,574 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3629 +[2025-03-25 05:14:54,617 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7056 +[2025-03-25 05:14:54,655 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8763 +[2025-03-25 05:14:54,700 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7173 +[2025-03-25 05:14:54,725 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8874 +[2025-03-25 05:14:54,774 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8660 +[2025-03-25 05:14:54,797 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7500 +[2025-03-25 05:14:55,752 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:14:55,752 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:14:55,752 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:14:55,753 INFO hook.py line 689 195048] wall : 0.7475 0.8130 +[2025-03-25 05:14:55,753 INFO hook.py line 689 195048] floor : 0.9542 0.9838 +[2025-03-25 05:14:55,753 INFO hook.py line 689 195048] cabinet : 0.4559 0.7137 +[2025-03-25 05:14:55,753 INFO hook.py line 689 195048] bed : 0.6888 0.7983 +[2025-03-25 05:14:55,753 INFO hook.py line 689 195048] chair : 0.8469 0.9190 +[2025-03-25 05:14:55,753 INFO hook.py line 689 195048] sofa : 0.7262 0.7656 +[2025-03-25 05:14:55,754 INFO hook.py line 689 195048] table : 0.6345 0.7714 +[2025-03-25 05:14:55,754 INFO hook.py line 689 195048] door : 0.4485 0.8302 +[2025-03-25 05:14:55,754 INFO hook.py line 689 195048] window : 0.4479 0.6293 +[2025-03-25 05:14:55,754 INFO hook.py line 689 195048] bookshelf : 0.6720 0.8431 +[2025-03-25 05:14:55,754 INFO hook.py line 689 195048] picture : 0.2096 0.3650 +[2025-03-25 05:14:55,754 INFO hook.py line 689 195048] counter : 0.5063 0.7736 +[2025-03-25 05:14:55,755 INFO hook.py line 689 195048] desk : 0.4378 0.5376 +[2025-03-25 05:14:55,755 INFO hook.py line 689 195048] curtain : 0.5422 0.7741 +[2025-03-25 05:14:55,755 INFO hook.py line 689 195048] refridgerator : 0.3930 0.4693 +[2025-03-25 05:14:55,755 INFO hook.py line 689 195048] shower curtain : 0.5779 0.7087 +[2025-03-25 05:14:55,755 INFO hook.py line 689 195048] toilet : 0.7777 0.8196 +[2025-03-25 05:14:55,755 INFO hook.py line 689 195048] sink : 0.5272 0.7316 +[2025-03-25 05:14:55,756 INFO hook.py line 689 195048] bathtub : 0.7325 0.9032 +[2025-03-25 05:14:55,756 INFO hook.py line 689 195048] otherfurniture : 0.4053 0.4933 +[2025-03-25 05:14:55,756 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:14:55,756 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5866/0.7322/0.8324. +[2025-03-25 05:14:55,757 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:14:55,770 INFO misc.py line 164 195048] Currently Best mIoU: 0.6224 +[2025-03-25 05:14:55,770 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:15:09,408 INFO hook.py line 566 195048] Train: [27/100][50/400] Data 0.003 (0.003) Batch 0.200 (0.196) Remain 01:36:30 loss: 0.4915 Lr: 2.64882e-03 +[2025-03-25 05:15:19,373 INFO hook.py line 566 195048] Train: [27/100][100/400] Data 0.002 (0.003) Batch 0.195 (0.198) Remain 01:37:11 loss: 0.7700 Lr: 2.64482e-03 +[2025-03-25 05:15:29,631 INFO hook.py line 566 195048] Train: [27/100][150/400] Data 0.002 (0.003) Batch 0.185 (0.200) Remain 01:38:16 loss: 0.5218 Lr: 2.64081e-03 +[2025-03-25 05:15:39,686 INFO hook.py line 566 195048] Train: [27/100][200/400] Data 0.003 (0.003) Batch 0.196 (0.200) Remain 01:38:13 loss: 0.6873 Lr: 2.63677e-03 +[2025-03-25 05:15:49,465 INFO hook.py line 566 195048] Train: [27/100][250/400] Data 0.003 (0.003) Batch 0.197 (0.199) Remain 01:37:34 loss: 0.5500 Lr: 2.63272e-03 +[2025-03-25 05:15:59,192 INFO hook.py line 566 195048] Train: [27/100][300/400] Data 0.002 (0.003) Batch 0.199 (0.199) Remain 01:36:59 loss: 0.5787 Lr: 2.62864e-03 +[2025-03-25 05:16:09,260 INFO hook.py line 566 195048] Train: [27/100][350/400] Data 0.002 (0.003) Batch 0.204 (0.199) Remain 01:37:01 loss: 0.3752 Lr: 2.62455e-03 +[2025-03-25 05:16:18,251 INFO hook.py line 566 195048] Train: [27/100][400/400] Data 0.001 (0.003) Batch 0.137 (0.197) Remain 01:35:40 loss: 0.7148 Lr: 2.62044e-03 +[2025-03-25 05:16:18,251 INFO misc.py line 135 195048] Train result: loss: 0.6348 +[2025-03-25 05:16:18,348 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:16:28,875 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2659 +[2025-03-25 05:16:28,918 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8884 +[2025-03-25 05:16:28,954 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5551 +[2025-03-25 05:16:29,142 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6647 +[2025-03-25 05:16:29,182 INFO hook.py line 748 195048] Test: [5/78] Loss 0.8115 +[2025-03-25 05:16:29,281 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5640 +[2025-03-25 05:16:29,330 INFO hook.py line 748 195048] Test: [7/78] Loss 0.8244 +[2025-03-25 05:16:29,422 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5074 +[2025-03-25 05:16:29,610 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9542 +[2025-03-25 05:16:29,639 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0110 +[2025-03-25 05:16:29,681 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6996 +[2025-03-25 05:16:29,714 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0317 +[2025-03-25 05:16:29,760 INFO hook.py line 748 195048] Test: [13/78] Loss 1.6822 +[2025-03-25 05:16:29,794 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7540 +[2025-03-25 05:16:29,826 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7107 +[2025-03-25 05:16:29,868 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2977 +[2025-03-25 05:16:29,904 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6836 +[2025-03-25 05:16:29,934 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0505 +[2025-03-25 05:16:29,977 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4782 +[2025-03-25 05:16:30,013 INFO hook.py line 748 195048] Test: [20/78] Loss 0.7006 +[2025-03-25 05:16:30,046 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2943 +[2025-03-25 05:16:30,082 INFO hook.py line 748 195048] Test: [22/78] Loss 1.2943 +[2025-03-25 05:16:30,108 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9724 +[2025-03-25 05:16:30,147 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8884 +[2025-03-25 05:16:30,186 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1577 +[2025-03-25 05:16:30,224 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7396 +[2025-03-25 05:16:30,271 INFO hook.py line 748 195048] Test: [27/78] Loss 1.0770 +[2025-03-25 05:16:30,300 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4915 +[2025-03-25 05:16:30,327 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3428 +[2025-03-25 05:16:30,377 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5069 +[2025-03-25 05:16:30,433 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5736 +[2025-03-25 05:16:30,464 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6373 +[2025-03-25 05:16:30,513 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3614 +[2025-03-25 05:16:30,552 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0769 +[2025-03-25 05:16:30,586 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3298 +[2025-03-25 05:16:30,617 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1739 +[2025-03-25 05:16:30,652 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4600 +[2025-03-25 05:16:30,681 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3498 +[2025-03-25 05:16:30,735 INFO hook.py line 748 195048] Test: [39/78] Loss 1.2361 +[2025-03-25 05:16:30,779 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5483 +[2025-03-25 05:16:30,818 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8398 +[2025-03-25 05:16:30,840 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2638 +[2025-03-25 05:16:30,873 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3368 +[2025-03-25 05:16:30,925 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6106 +[2025-03-25 05:16:30,956 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6652 +[2025-03-25 05:16:30,997 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7148 +[2025-03-25 05:16:31,033 INFO hook.py line 748 195048] Test: [47/78] Loss 2.2600 +[2025-03-25 05:16:31,064 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8968 +[2025-03-25 05:16:31,100 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4705 +[2025-03-25 05:16:31,131 INFO hook.py line 748 195048] Test: [50/78] Loss 1.5378 +[2025-03-25 05:16:31,160 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2828 +[2025-03-25 05:16:31,194 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2608 +[2025-03-25 05:16:31,223 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2921 +[2025-03-25 05:16:31,259 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8528 +[2025-03-25 05:16:31,294 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0954 +[2025-03-25 05:16:31,329 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2805 +[2025-03-25 05:16:31,358 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8537 +[2025-03-25 05:16:31,382 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7686 +[2025-03-25 05:16:31,417 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7643 +[2025-03-25 05:16:31,445 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6688 +[2025-03-25 05:16:31,465 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6365 +[2025-03-25 05:16:31,495 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7512 +[2025-03-25 05:16:31,527 INFO hook.py line 748 195048] Test: [63/78] Loss 1.6257 +[2025-03-25 05:16:31,577 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4538 +[2025-03-25 05:16:31,600 INFO hook.py line 748 195048] Test: [65/78] Loss 1.6292 +[2025-03-25 05:16:31,637 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9051 +[2025-03-25 05:16:31,672 INFO hook.py line 748 195048] Test: [67/78] Loss 0.8392 +[2025-03-25 05:16:31,701 INFO hook.py line 748 195048] Test: [68/78] Loss 1.3633 +[2025-03-25 05:16:31,727 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3232 +[2025-03-25 05:16:31,779 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1858 +[2025-03-25 05:16:31,817 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8874 +[2025-03-25 05:16:31,862 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4529 +[2025-03-25 05:16:31,906 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5027 +[2025-03-25 05:16:31,943 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8740 +[2025-03-25 05:16:31,989 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5984 +[2025-03-25 05:16:32,014 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0038 +[2025-03-25 05:16:32,064 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4786 +[2025-03-25 05:16:32,087 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8625 +[2025-03-25 05:16:33,068 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:16:33,068 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:16:33,068 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:16:33,068 INFO hook.py line 689 195048] wall : 0.7957 0.9083 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] floor : 0.9560 0.9774 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] cabinet : 0.5171 0.6854 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] bed : 0.6738 0.7255 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] chair : 0.8322 0.9343 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] sofa : 0.7667 0.8786 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] table : 0.6151 0.7277 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] door : 0.5226 0.6477 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] window : 0.4866 0.6346 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] bookshelf : 0.7197 0.8718 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] picture : 0.2421 0.3960 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] counter : 0.3206 0.3383 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] desk : 0.4318 0.5349 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] curtain : 0.4667 0.4915 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] refridgerator : 0.3797 0.4414 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] shower curtain : 0.4851 0.5440 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] toilet : 0.7856 0.9526 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] sink : 0.4969 0.7341 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] bathtub : 0.8218 0.8798 +[2025-03-25 05:16:33,069 INFO hook.py line 689 195048] otherfurniture : 0.4636 0.7121 +[2025-03-25 05:16:33,069 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:16:33,069 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5890/0.7008/0.8532. +[2025-03-25 05:16:33,070 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:16:33,082 INFO misc.py line 164 195048] Currently Best mIoU: 0.6224 +[2025-03-25 05:16:33,082 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:16:46,337 INFO hook.py line 566 195048] Train: [28/100][50/400] Data 0.003 (0.003) Batch 0.203 (0.202) Remain 01:37:55 loss: 0.7341 Lr: 2.61630e-03 +[2025-03-25 05:16:56,283 INFO hook.py line 566 195048] Train: [28/100][100/400] Data 0.002 (0.003) Batch 0.199 (0.200) Remain 01:37:05 loss: 0.2969 Lr: 2.61215e-03 +[2025-03-25 05:17:06,262 INFO hook.py line 566 195048] Train: [28/100][150/400] Data 0.003 (0.003) Batch 0.209 (0.200) Remain 01:36:49 loss: 0.7364 Lr: 2.60798e-03 +[2025-03-25 05:17:16,172 INFO hook.py line 566 195048] Train: [28/100][200/400] Data 0.003 (0.003) Batch 0.193 (0.200) Remain 01:36:26 loss: 0.6638 Lr: 2.60379e-03 +[2025-03-25 05:17:26,203 INFO hook.py line 566 195048] Train: [28/100][250/400] Data 0.002 (0.003) Batch 0.190 (0.200) Remain 01:36:22 loss: 0.8520 Lr: 2.59959e-03 +[2025-03-25 05:17:36,163 INFO hook.py line 566 195048] Train: [28/100][300/400] Data 0.003 (0.003) Batch 0.202 (0.200) Remain 01:36:09 loss: 0.6987 Lr: 2.59536e-03 +[2025-03-25 05:17:46,422 INFO hook.py line 566 195048] Train: [28/100][350/400] Data 0.002 (0.003) Batch 0.198 (0.200) Remain 01:36:23 loss: 0.6829 Lr: 2.59111e-03 +[2025-03-25 05:17:55,353 INFO hook.py line 566 195048] Train: [28/100][400/400] Data 0.001 (0.003) Batch 0.152 (0.198) Remain 01:34:53 loss: 0.5839 Lr: 2.58685e-03 +[2025-03-25 05:17:55,354 INFO misc.py line 135 195048] Train result: loss: 0.6168 +[2025-03-25 05:17:55,439 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:18:05,876 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2840 +[2025-03-25 05:18:05,922 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7446 +[2025-03-25 05:18:06,158 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5549 +[2025-03-25 05:18:06,212 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5937 +[2025-03-25 05:18:06,245 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4462 +[2025-03-25 05:18:06,298 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3566 +[2025-03-25 05:18:06,346 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5810 +[2025-03-25 05:18:06,375 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3506 +[2025-03-25 05:18:06,416 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1812 +[2025-03-25 05:18:06,451 INFO hook.py line 748 195048] Test: [10/78] Loss 1.1923 +[2025-03-25 05:18:06,496 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6274 +[2025-03-25 05:18:06,528 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2158 +[2025-03-25 05:18:06,571 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5289 +[2025-03-25 05:18:06,605 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8555 +[2025-03-25 05:18:06,638 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8158 +[2025-03-25 05:18:06,680 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3085 +[2025-03-25 05:18:06,716 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8084 +[2025-03-25 05:18:06,748 INFO hook.py line 748 195048] Test: [18/78] Loss 0.5961 +[2025-03-25 05:18:06,789 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4521 +[2025-03-25 05:18:06,818 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0842 +[2025-03-25 05:18:06,850 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2591 +[2025-03-25 05:18:06,887 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4041 +[2025-03-25 05:18:06,913 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9574 +[2025-03-25 05:18:06,953 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8841 +[2025-03-25 05:18:06,992 INFO hook.py line 748 195048] Test: [25/78] Loss 0.5614 +[2025-03-25 05:18:07,029 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6548 +[2025-03-25 05:18:07,075 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1114 +[2025-03-25 05:18:07,104 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5457 +[2025-03-25 05:18:07,129 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2867 +[2025-03-25 05:18:07,178 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4841 +[2025-03-25 05:18:07,234 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5255 +[2025-03-25 05:18:07,266 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6837 +[2025-03-25 05:18:07,314 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3591 +[2025-03-25 05:18:07,351 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0887 +[2025-03-25 05:18:07,388 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4869 +[2025-03-25 05:18:07,420 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0823 +[2025-03-25 05:18:07,452 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4598 +[2025-03-25 05:18:07,481 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4182 +[2025-03-25 05:18:07,536 INFO hook.py line 748 195048] Test: [39/78] Loss 1.9311 +[2025-03-25 05:18:07,578 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9376 +[2025-03-25 05:18:07,617 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8424 +[2025-03-25 05:18:07,640 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1978 +[2025-03-25 05:18:07,672 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3710 +[2025-03-25 05:18:07,725 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5271 +[2025-03-25 05:18:07,754 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5574 +[2025-03-25 05:18:07,805 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6896 +[2025-03-25 05:18:07,838 INFO hook.py line 748 195048] Test: [47/78] Loss 2.4319 +[2025-03-25 05:18:07,873 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5732 +[2025-03-25 05:18:07,903 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3389 +[2025-03-25 05:18:07,937 INFO hook.py line 748 195048] Test: [50/78] Loss 1.4260 +[2025-03-25 05:18:07,968 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1947 +[2025-03-25 05:18:08,005 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0261 +[2025-03-25 05:18:08,032 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4071 +[2025-03-25 05:18:08,069 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2503 +[2025-03-25 05:18:08,105 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0771 +[2025-03-25 05:18:08,141 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2921 +[2025-03-25 05:18:08,170 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8236 +[2025-03-25 05:18:08,193 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5599 +[2025-03-25 05:18:08,227 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8999 +[2025-03-25 05:18:08,256 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7468 +[2025-03-25 05:18:08,276 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7313 +[2025-03-25 05:18:08,305 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7873 +[2025-03-25 05:18:08,337 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2174 +[2025-03-25 05:18:08,387 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4062 +[2025-03-25 05:18:08,411 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0887 +[2025-03-25 05:18:08,448 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6449 +[2025-03-25 05:18:08,482 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4598 +[2025-03-25 05:18:08,511 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1979 +[2025-03-25 05:18:08,537 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3367 +[2025-03-25 05:18:08,590 INFO hook.py line 748 195048] Test: [70/78] Loss 1.0801 +[2025-03-25 05:18:08,627 INFO hook.py line 748 195048] Test: [71/78] Loss 1.3433 +[2025-03-25 05:18:08,673 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4282 +[2025-03-25 05:18:08,717 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4386 +[2025-03-25 05:18:08,754 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2445 +[2025-03-25 05:18:08,800 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5657 +[2025-03-25 05:18:08,825 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9267 +[2025-03-25 05:18:08,875 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3593 +[2025-03-25 05:18:08,898 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5744 +[2025-03-25 05:18:09,899 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:18:09,900 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:18:09,900 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:18:09,900 INFO hook.py line 689 195048] wall : 0.7892 0.9451 +[2025-03-25 05:18:09,900 INFO hook.py line 689 195048] floor : 0.9579 0.9786 +[2025-03-25 05:18:09,900 INFO hook.py line 689 195048] cabinet : 0.5170 0.5908 +[2025-03-25 05:18:09,900 INFO hook.py line 689 195048] bed : 0.7586 0.8131 +[2025-03-25 05:18:09,900 INFO hook.py line 689 195048] chair : 0.8654 0.9082 +[2025-03-25 05:18:09,900 INFO hook.py line 689 195048] sofa : 0.7686 0.9387 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] table : 0.6586 0.7568 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] door : 0.4651 0.5037 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] window : 0.4512 0.5850 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] bookshelf : 0.7137 0.8431 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] picture : 0.2363 0.3255 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] counter : 0.5859 0.7800 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] desk : 0.5211 0.8379 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] curtain : 0.5494 0.6867 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] refridgerator : 0.4625 0.5763 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] shower curtain : 0.5276 0.5714 +[2025-03-25 05:18:09,901 INFO hook.py line 689 195048] toilet : 0.8468 0.9586 +[2025-03-25 05:18:09,902 INFO hook.py line 689 195048] sink : 0.5964 0.7131 +[2025-03-25 05:18:09,902 INFO hook.py line 689 195048] bathtub : 0.7705 0.9207 +[2025-03-25 05:18:09,902 INFO hook.py line 689 195048] otherfurniture : 0.4844 0.5843 +[2025-03-25 05:18:09,902 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:18:09,902 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6263/0.7409/0.8616. +[2025-03-25 05:18:09,903 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:18:09,914 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6263 +[2025-03-25 05:18:09,914 INFO misc.py line 164 195048] Currently Best mIoU: 0.6263 +[2025-03-25 05:18:09,914 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:18:23,446 INFO hook.py line 566 195048] Train: [29/100][50/400] Data 0.002 (0.003) Batch 0.176 (0.200) Remain 01:35:37 loss: 0.3853 Lr: 2.58257e-03 +[2025-03-25 05:18:33,289 INFO hook.py line 566 195048] Train: [29/100][100/400] Data 0.002 (0.003) Batch 0.222 (0.198) Remain 01:34:47 loss: 0.5972 Lr: 2.57827e-03 +[2025-03-25 05:18:43,330 INFO hook.py line 566 195048] Train: [29/100][150/400] Data 0.003 (0.003) Batch 0.207 (0.199) Remain 01:35:03 loss: 0.5372 Lr: 2.57395e-03 +[2025-03-25 05:18:53,165 INFO hook.py line 566 195048] Train: [29/100][200/400] Data 0.002 (0.003) Batch 0.190 (0.198) Remain 01:34:35 loss: 0.5549 Lr: 2.56961e-03 +[2025-03-25 05:19:03,093 INFO hook.py line 566 195048] Train: [29/100][250/400] Data 0.002 (0.003) Batch 0.202 (0.198) Remain 01:34:26 loss: 0.8780 Lr: 2.56525e-03 +[2025-03-25 05:19:13,115 INFO hook.py line 566 195048] Train: [29/100][300/400] Data 0.003 (0.003) Batch 0.194 (0.199) Remain 01:34:26 loss: 1.0332 Lr: 2.56088e-03 +[2025-03-25 05:19:23,052 INFO hook.py line 566 195048] Train: [29/100][350/400] Data 0.003 (0.003) Batch 0.215 (0.199) Remain 01:34:15 loss: 0.7516 Lr: 2.55649e-03 +[2025-03-25 05:19:32,034 INFO hook.py line 566 195048] Train: [29/100][400/400] Data 0.001 (0.003) Batch 0.150 (0.196) Remain 01:32:57 loss: 0.8518 Lr: 2.55208e-03 +[2025-03-25 05:19:32,034 INFO misc.py line 135 195048] Train result: loss: 0.6151 +[2025-03-25 05:19:32,108 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:19:42,284 INFO hook.py line 748 195048] Test: [1/78] Loss 0.4056 +[2025-03-25 05:19:42,328 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8103 +[2025-03-25 05:19:42,931 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4644 +[2025-03-25 05:19:42,974 INFO hook.py line 748 195048] Test: [4/78] Loss 0.7139 +[2025-03-25 05:19:43,200 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5617 +[2025-03-25 05:19:43,342 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5534 +[2025-03-25 05:19:43,389 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7976 +[2025-03-25 05:19:43,426 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5296 +[2025-03-25 05:19:43,473 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0665 +[2025-03-25 05:19:43,504 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8078 +[2025-03-25 05:19:43,546 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7426 +[2025-03-25 05:19:43,578 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9343 +[2025-03-25 05:19:43,621 INFO hook.py line 748 195048] Test: [13/78] Loss 2.1157 +[2025-03-25 05:19:43,661 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1057 +[2025-03-25 05:19:43,694 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9841 +[2025-03-25 05:19:43,735 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1092 +[2025-03-25 05:19:43,770 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6946 +[2025-03-25 05:19:43,799 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0883 +[2025-03-25 05:19:43,843 INFO hook.py line 748 195048] Test: [19/78] Loss 0.8965 +[2025-03-25 05:19:43,871 INFO hook.py line 748 195048] Test: [20/78] Loss 0.8634 +[2025-03-25 05:19:43,904 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3004 +[2025-03-25 05:19:43,941 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3060 +[2025-03-25 05:19:43,973 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8499 +[2025-03-25 05:19:44,011 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8899 +[2025-03-25 05:19:44,049 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9326 +[2025-03-25 05:19:44,086 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7224 +[2025-03-25 05:19:44,131 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2656 +[2025-03-25 05:19:44,164 INFO hook.py line 748 195048] Test: [28/78] Loss 0.6045 +[2025-03-25 05:19:44,190 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2897 +[2025-03-25 05:19:44,240 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7280 +[2025-03-25 05:19:44,294 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6027 +[2025-03-25 05:19:44,325 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5602 +[2025-03-25 05:19:44,372 INFO hook.py line 748 195048] Test: [33/78] Loss 0.5636 +[2025-03-25 05:19:44,409 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1939 +[2025-03-25 05:19:44,448 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5159 +[2025-03-25 05:19:44,484 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1820 +[2025-03-25 05:19:44,517 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6767 +[2025-03-25 05:19:44,548 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2390 +[2025-03-25 05:19:44,602 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7763 +[2025-03-25 05:19:44,647 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6084 +[2025-03-25 05:19:44,685 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8578 +[2025-03-25 05:19:44,712 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1689 +[2025-03-25 05:19:44,753 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4472 +[2025-03-25 05:19:44,805 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6345 +[2025-03-25 05:19:44,835 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4586 +[2025-03-25 05:19:44,877 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8117 +[2025-03-25 05:19:44,917 INFO hook.py line 748 195048] Test: [47/78] Loss 1.5039 +[2025-03-25 05:19:44,950 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8619 +[2025-03-25 05:19:44,981 INFO hook.py line 748 195048] Test: [49/78] Loss 2.0458 +[2025-03-25 05:19:45,025 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9332 +[2025-03-25 05:19:45,053 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8481 +[2025-03-25 05:19:45,085 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0381 +[2025-03-25 05:19:45,112 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6384 +[2025-03-25 05:19:45,148 INFO hook.py line 748 195048] Test: [54/78] Loss 1.9842 +[2025-03-25 05:19:45,183 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0759 +[2025-03-25 05:19:45,219 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3893 +[2025-03-25 05:19:45,247 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0244 +[2025-03-25 05:19:45,270 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8032 +[2025-03-25 05:19:45,305 INFO hook.py line 748 195048] Test: [59/78] Loss 1.0328 +[2025-03-25 05:19:45,334 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9078 +[2025-03-25 05:19:45,354 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7195 +[2025-03-25 05:19:45,383 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6770 +[2025-03-25 05:19:45,416 INFO hook.py line 748 195048] Test: [63/78] Loss 0.7426 +[2025-03-25 05:19:45,466 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5356 +[2025-03-25 05:19:45,490 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2384 +[2025-03-25 05:19:45,527 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8484 +[2025-03-25 05:19:45,562 INFO hook.py line 748 195048] Test: [67/78] Loss 0.7175 +[2025-03-25 05:19:45,590 INFO hook.py line 748 195048] Test: [68/78] Loss 0.8833 +[2025-03-25 05:19:45,617 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3422 +[2025-03-25 05:19:45,669 INFO hook.py line 748 195048] Test: [70/78] Loss 0.8162 +[2025-03-25 05:19:45,707 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1931 +[2025-03-25 05:19:45,752 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5080 +[2025-03-25 05:19:45,796 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8677 +[2025-03-25 05:19:45,834 INFO hook.py line 748 195048] Test: [74/78] Loss 1.7306 +[2025-03-25 05:19:45,880 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5551 +[2025-03-25 05:19:45,905 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0743 +[2025-03-25 05:19:45,955 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3267 +[2025-03-25 05:19:45,978 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9168 +[2025-03-25 05:19:46,943 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:19:46,943 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:19:46,943 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] wall : 0.7961 0.9373 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] floor : 0.9539 0.9809 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] cabinet : 0.5426 0.6587 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] bed : 0.6724 0.8539 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] chair : 0.8407 0.9343 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] sofa : 0.7514 0.8120 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] table : 0.6412 0.7534 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] door : 0.5099 0.6435 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] window : 0.4916 0.6004 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] bookshelf : 0.6962 0.7755 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] picture : 0.2312 0.3543 +[2025-03-25 05:19:46,943 INFO hook.py line 689 195048] counter : 0.5300 0.6860 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] desk : 0.5179 0.6803 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] curtain : 0.5925 0.6448 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] refridgerator : 0.4468 0.4817 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] shower curtain : 0.6002 0.6979 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] toilet : 0.8739 0.9172 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] sink : 0.5698 0.6790 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] bathtub : 0.8593 0.8932 +[2025-03-25 05:19:46,944 INFO hook.py line 689 195048] otherfurniture : 0.4539 0.5416 +[2025-03-25 05:19:46,944 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:19:46,944 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6286/0.7263/0.8611. +[2025-03-25 05:19:46,944 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:19:46,955 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6286 +[2025-03-25 05:19:46,955 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:19:46,955 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:20:00,510 INFO hook.py line 566 195048] Train: [30/100][50/400] Data 0.003 (0.003) Batch 0.202 (0.200) Remain 01:34:38 loss: 0.4478 Lr: 2.54765e-03 +[2025-03-25 05:20:10,531 INFO hook.py line 566 195048] Train: [30/100][100/400] Data 0.004 (0.003) Batch 0.383 (0.200) Remain 01:34:30 loss: 0.7672 Lr: 2.54320e-03 +[2025-03-25 05:20:20,563 INFO hook.py line 566 195048] Train: [30/100][150/400] Data 0.004 (0.003) Batch 0.201 (0.200) Remain 01:34:23 loss: 0.6528 Lr: 2.53874e-03 +[2025-03-25 05:20:30,716 INFO hook.py line 566 195048] Train: [30/100][200/400] Data 0.003 (0.003) Batch 0.193 (0.201) Remain 01:34:31 loss: 0.4910 Lr: 2.53426e-03 +[2025-03-25 05:20:40,611 INFO hook.py line 566 195048] Train: [30/100][250/400] Data 0.003 (0.003) Batch 0.194 (0.200) Remain 01:34:03 loss: 0.6996 Lr: 2.52976e-03 +[2025-03-25 05:20:50,486 INFO hook.py line 566 195048] Train: [30/100][300/400] Data 0.003 (0.003) Batch 0.186 (0.200) Remain 01:33:38 loss: 0.8199 Lr: 2.52524e-03 +[2025-03-25 05:21:00,499 INFO hook.py line 566 195048] Train: [30/100][350/400] Data 0.002 (0.003) Batch 0.193 (0.200) Remain 01:33:30 loss: 0.3876 Lr: 2.52071e-03 +[2025-03-25 05:21:09,305 INFO hook.py line 566 195048] Train: [30/100][400/400] Data 0.001 (0.003) Batch 0.146 (0.197) Remain 01:31:56 loss: 0.6200 Lr: 2.51615e-03 +[2025-03-25 05:21:09,305 INFO misc.py line 135 195048] Train result: loss: 0.6159 +[2025-03-25 05:21:09,391 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:21:19,557 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3160 +[2025-03-25 05:21:19,924 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6394 +[2025-03-25 05:21:19,961 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4536 +[2025-03-25 05:21:20,091 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5472 +[2025-03-25 05:21:20,128 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4480 +[2025-03-25 05:21:20,178 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3678 +[2025-03-25 05:21:20,452 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6159 +[2025-03-25 05:21:20,476 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4517 +[2025-03-25 05:21:20,517 INFO hook.py line 748 195048] Test: [9/78] Loss 0.8076 +[2025-03-25 05:21:20,546 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7212 +[2025-03-25 05:21:20,588 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6808 +[2025-03-25 05:21:20,619 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9293 +[2025-03-25 05:21:20,679 INFO hook.py line 748 195048] Test: [13/78] Loss 2.1738 +[2025-03-25 05:21:20,712 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7843 +[2025-03-25 05:21:20,746 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7353 +[2025-03-25 05:21:20,788 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1344 +[2025-03-25 05:21:20,824 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7530 +[2025-03-25 05:21:20,851 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0567 +[2025-03-25 05:21:20,894 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2812 +[2025-03-25 05:21:20,926 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0484 +[2025-03-25 05:21:20,963 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3013 +[2025-03-25 05:21:20,999 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6123 +[2025-03-25 05:21:21,032 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8370 +[2025-03-25 05:21:21,071 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0331 +[2025-03-25 05:21:21,115 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9449 +[2025-03-25 05:21:21,153 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5444 +[2025-03-25 05:21:21,199 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1369 +[2025-03-25 05:21:21,231 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4062 +[2025-03-25 05:21:21,256 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3209 +[2025-03-25 05:21:21,307 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5518 +[2025-03-25 05:21:21,360 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4800 +[2025-03-25 05:21:21,391 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6797 +[2025-03-25 05:21:21,438 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3189 +[2025-03-25 05:21:21,475 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9920 +[2025-03-25 05:21:21,510 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4198 +[2025-03-25 05:21:21,545 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9575 +[2025-03-25 05:21:21,576 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5250 +[2025-03-25 05:21:21,607 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2343 +[2025-03-25 05:21:21,661 INFO hook.py line 748 195048] Test: [39/78] Loss 0.9829 +[2025-03-25 05:21:21,711 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7502 +[2025-03-25 05:21:21,749 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8970 +[2025-03-25 05:21:21,774 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2316 +[2025-03-25 05:21:21,806 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4509 +[2025-03-25 05:21:21,860 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5329 +[2025-03-25 05:21:21,890 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6141 +[2025-03-25 05:21:21,931 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8148 +[2025-03-25 05:21:21,967 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9735 +[2025-03-25 05:21:21,999 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8815 +[2025-03-25 05:21:22,030 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4318 +[2025-03-25 05:21:22,065 INFO hook.py line 748 195048] Test: [50/78] Loss 1.6838 +[2025-03-25 05:21:22,103 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0974 +[2025-03-25 05:21:22,144 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9094 +[2025-03-25 05:21:22,172 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5112 +[2025-03-25 05:21:22,207 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3466 +[2025-03-25 05:21:22,245 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0630 +[2025-03-25 05:21:22,282 INFO hook.py line 748 195048] Test: [56/78] Loss 0.4578 +[2025-03-25 05:21:22,310 INFO hook.py line 748 195048] Test: [57/78] Loss 1.4663 +[2025-03-25 05:21:22,332 INFO hook.py line 748 195048] Test: [58/78] Loss 1.2034 +[2025-03-25 05:21:22,367 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8121 +[2025-03-25 05:21:22,395 INFO hook.py line 748 195048] Test: [60/78] Loss 1.0621 +[2025-03-25 05:21:22,415 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7563 +[2025-03-25 05:21:22,444 INFO hook.py line 748 195048] Test: [62/78] Loss 0.8108 +[2025-03-25 05:21:22,477 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4170 +[2025-03-25 05:21:22,527 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3025 +[2025-03-25 05:21:22,551 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0007 +[2025-03-25 05:21:22,587 INFO hook.py line 748 195048] Test: [66/78] Loss 1.2609 +[2025-03-25 05:21:22,622 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5215 +[2025-03-25 05:21:22,650 INFO hook.py line 748 195048] Test: [68/78] Loss 1.4626 +[2025-03-25 05:21:22,677 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4457 +[2025-03-25 05:21:22,729 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1111 +[2025-03-25 05:21:22,767 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9986 +[2025-03-25 05:21:22,812 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4870 +[2025-03-25 05:21:22,856 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4992 +[2025-03-25 05:21:22,893 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2283 +[2025-03-25 05:21:22,939 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5897 +[2025-03-25 05:21:22,964 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8200 +[2025-03-25 05:21:23,013 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5257 +[2025-03-25 05:21:23,036 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8296 +[2025-03-25 05:21:24,050 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:21:24,050 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:21:24,050 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:21:24,050 INFO hook.py line 689 195048] wall : 0.7924 0.9043 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] floor : 0.9578 0.9822 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] cabinet : 0.5577 0.6417 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] bed : 0.7233 0.7592 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] chair : 0.8455 0.9490 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] sofa : 0.7595 0.8059 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] table : 0.6269 0.7241 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] door : 0.5479 0.7510 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] window : 0.4710 0.5852 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] bookshelf : 0.7046 0.8972 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] picture : 0.2106 0.2926 +[2025-03-25 05:21:24,051 INFO hook.py line 689 195048] counter : 0.5420 0.6800 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] desk : 0.5285 0.7583 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] curtain : 0.5406 0.7779 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] refridgerator : 0.4543 0.5009 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] shower curtain : 0.5369 0.6138 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] toilet : 0.8452 0.9205 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] sink : 0.5603 0.7051 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] bathtub : 0.8167 0.8933 +[2025-03-25 05:21:24,052 INFO hook.py line 689 195048] otherfurniture : 0.4775 0.5976 +[2025-03-25 05:21:24,052 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:21:24,052 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6250/0.7370/0.8614. +[2025-03-25 05:21:24,053 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:21:24,063 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:21:24,063 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:21:37,357 INFO hook.py line 566 195048] Train: [31/100][50/400] Data 0.003 (0.003) Batch 0.220 (0.197) Remain 01:31:37 loss: 0.6386 Lr: 2.51158e-03 +[2025-03-25 05:21:47,217 INFO hook.py line 566 195048] Train: [31/100][100/400] Data 0.003 (0.003) Batch 0.191 (0.197) Remain 01:31:35 loss: 0.7025 Lr: 2.50700e-03 +[2025-03-25 05:21:57,192 INFO hook.py line 566 195048] Train: [31/100][150/400] Data 0.003 (0.003) Batch 0.196 (0.198) Remain 01:31:49 loss: 0.6354 Lr: 2.50239e-03 +[2025-03-25 05:22:06,850 INFO hook.py line 566 195048] Train: [31/100][200/400] Data 0.003 (0.003) Batch 0.196 (0.197) Remain 01:31:06 loss: 0.5824 Lr: 2.49786e-03 +[2025-03-25 05:22:16,650 INFO hook.py line 566 195048] Train: [31/100][250/400] Data 0.002 (0.003) Batch 0.183 (0.197) Remain 01:30:53 loss: 0.9823 Lr: 2.49323e-03 +[2025-03-25 05:22:26,700 INFO hook.py line 566 195048] Train: [31/100][300/400] Data 0.002 (0.003) Batch 0.204 (0.197) Remain 01:31:04 loss: 0.7215 Lr: 2.48857e-03 +[2025-03-25 05:22:36,694 INFO hook.py line 566 195048] Train: [31/100][350/400] Data 0.002 (0.003) Batch 0.183 (0.198) Remain 01:31:04 loss: 0.4089 Lr: 2.48390e-03 +[2025-03-25 05:22:45,800 INFO hook.py line 566 195048] Train: [31/100][400/400] Data 0.001 (0.003) Batch 0.153 (0.196) Remain 01:30:00 loss: 0.5948 Lr: 2.47921e-03 +[2025-03-25 05:22:45,800 INFO misc.py line 135 195048] Train result: loss: 0.5904 +[2025-03-25 05:22:45,875 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:22:56,460 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2889 +[2025-03-25 05:22:56,510 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7938 +[2025-03-25 05:22:57,076 INFO hook.py line 748 195048] Test: [3/78] Loss 0.9997 +[2025-03-25 05:22:57,118 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5568 +[2025-03-25 05:22:57,147 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6083 +[2025-03-25 05:22:57,202 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4008 +[2025-03-25 05:22:57,248 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7608 +[2025-03-25 05:22:57,274 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4795 +[2025-03-25 05:22:57,318 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1268 +[2025-03-25 05:22:57,355 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0315 +[2025-03-25 05:22:57,397 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6570 +[2025-03-25 05:22:57,427 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9017 +[2025-03-25 05:22:57,470 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6035 +[2025-03-25 05:22:57,505 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0873 +[2025-03-25 05:22:57,538 INFO hook.py line 748 195048] Test: [15/78] Loss 1.5917 +[2025-03-25 05:22:57,579 INFO hook.py line 748 195048] Test: [16/78] Loss 0.6260 +[2025-03-25 05:22:57,614 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5585 +[2025-03-25 05:22:57,644 INFO hook.py line 748 195048] Test: [18/78] Loss 0.5937 +[2025-03-25 05:22:57,685 INFO hook.py line 748 195048] Test: [19/78] Loss 0.6725 +[2025-03-25 05:22:57,717 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2241 +[2025-03-25 05:22:57,755 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3495 +[2025-03-25 05:22:57,805 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6329 +[2025-03-25 05:22:57,833 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0327 +[2025-03-25 05:22:57,875 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9306 +[2025-03-25 05:22:57,911 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1468 +[2025-03-25 05:22:57,949 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5797 +[2025-03-25 05:22:57,994 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6266 +[2025-03-25 05:22:58,024 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5644 +[2025-03-25 05:22:58,057 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3232 +[2025-03-25 05:22:58,104 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7713 +[2025-03-25 05:22:58,157 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5688 +[2025-03-25 05:22:58,188 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7844 +[2025-03-25 05:22:58,237 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3296 +[2025-03-25 05:22:58,272 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1437 +[2025-03-25 05:22:58,309 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3388 +[2025-03-25 05:22:58,343 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3499 +[2025-03-25 05:22:58,376 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6628 +[2025-03-25 05:22:58,406 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4965 +[2025-03-25 05:22:58,460 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7026 +[2025-03-25 05:22:58,504 INFO hook.py line 748 195048] Test: [40/78] Loss 2.2669 +[2025-03-25 05:22:58,544 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8971 +[2025-03-25 05:22:58,567 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1414 +[2025-03-25 05:22:58,598 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4420 +[2025-03-25 05:22:58,650 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6019 +[2025-03-25 05:22:58,678 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6951 +[2025-03-25 05:22:58,721 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8055 +[2025-03-25 05:22:58,754 INFO hook.py line 748 195048] Test: [47/78] Loss 2.5469 +[2025-03-25 05:22:58,786 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8425 +[2025-03-25 05:22:58,820 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7162 +[2025-03-25 05:22:58,860 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2507 +[2025-03-25 05:22:58,889 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2833 +[2025-03-25 05:22:58,921 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0880 +[2025-03-25 05:22:58,953 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3775 +[2025-03-25 05:22:58,989 INFO hook.py line 748 195048] Test: [54/78] Loss 1.9748 +[2025-03-25 05:22:59,026 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0723 +[2025-03-25 05:22:59,061 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3182 +[2025-03-25 05:22:59,090 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9250 +[2025-03-25 05:22:59,113 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7026 +[2025-03-25 05:22:59,148 INFO hook.py line 748 195048] Test: [59/78] Loss 1.0517 +[2025-03-25 05:22:59,176 INFO hook.py line 748 195048] Test: [60/78] Loss 0.8720 +[2025-03-25 05:22:59,196 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8718 +[2025-03-25 05:22:59,225 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6147 +[2025-03-25 05:22:59,257 INFO hook.py line 748 195048] Test: [63/78] Loss 0.8563 +[2025-03-25 05:22:59,307 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2557 +[2025-03-25 05:22:59,330 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9956 +[2025-03-25 05:22:59,367 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8339 +[2025-03-25 05:22:59,402 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3996 +[2025-03-25 05:22:59,430 INFO hook.py line 748 195048] Test: [68/78] Loss 1.4099 +[2025-03-25 05:22:59,456 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2291 +[2025-03-25 05:22:59,509 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2945 +[2025-03-25 05:22:59,546 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2258 +[2025-03-25 05:22:59,592 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4903 +[2025-03-25 05:22:59,635 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6799 +[2025-03-25 05:22:59,673 INFO hook.py line 748 195048] Test: [74/78] Loss 1.7904 +[2025-03-25 05:22:59,719 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7986 +[2025-03-25 05:22:59,744 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9022 +[2025-03-25 05:22:59,793 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3561 +[2025-03-25 05:22:59,816 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6707 +[2025-03-25 05:23:00,720 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:23:00,720 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:23:00,720 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] wall : 0.7738 0.9294 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] floor : 0.9508 0.9868 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] cabinet : 0.5130 0.6398 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] bed : 0.7170 0.8754 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] chair : 0.8274 0.8799 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] sofa : 0.6923 0.9044 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] table : 0.6372 0.7811 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] door : 0.4467 0.5208 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] window : 0.4265 0.5363 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] bookshelf : 0.6926 0.8134 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] picture : 0.2201 0.4712 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] counter : 0.6116 0.8077 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] desk : 0.4125 0.4830 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] curtain : 0.5754 0.6351 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] refridgerator : 0.3709 0.3878 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] shower curtain : 0.5914 0.6889 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] toilet : 0.8701 0.9100 +[2025-03-25 05:23:00,720 INFO hook.py line 689 195048] sink : 0.5668 0.6359 +[2025-03-25 05:23:00,721 INFO hook.py line 689 195048] bathtub : 0.8552 0.8836 +[2025-03-25 05:23:00,721 INFO hook.py line 689 195048] otherfurniture : 0.4238 0.5060 +[2025-03-25 05:23:00,721 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:23:00,721 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6087/0.7138/0.8481. +[2025-03-25 05:23:00,721 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:23:00,724 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:23:00,724 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:23:14,259 INFO hook.py line 566 195048] Train: [32/100][50/400] Data 0.003 (0.003) Batch 0.193 (0.203) Remain 01:33:07 loss: 0.3385 Lr: 2.47451e-03 +[2025-03-25 05:23:24,458 INFO hook.py line 566 195048] Train: [32/100][100/400] Data 0.003 (0.003) Batch 0.211 (0.203) Remain 01:33:13 loss: 0.4644 Lr: 2.46979e-03 +[2025-03-25 05:23:34,479 INFO hook.py line 566 195048] Train: [32/100][150/400] Data 0.003 (0.003) Batch 0.199 (0.202) Remain 01:32:35 loss: 0.6152 Lr: 2.46505e-03 +[2025-03-25 05:23:44,242 INFO hook.py line 566 195048] Train: [32/100][200/400] Data 0.002 (0.003) Batch 0.200 (0.201) Remain 01:31:36 loss: 0.6069 Lr: 2.46029e-03 +[2025-03-25 05:23:54,047 INFO hook.py line 566 195048] Train: [32/100][250/400] Data 0.003 (0.003) Batch 0.195 (0.200) Remain 01:31:01 loss: 0.5477 Lr: 2.45552e-03 +[2025-03-25 05:24:03,950 INFO hook.py line 566 195048] Train: [32/100][300/400] Data 0.002 (0.003) Batch 0.208 (0.199) Remain 01:30:43 loss: 0.5309 Lr: 2.45073e-03 +[2025-03-25 05:24:13,906 INFO hook.py line 566 195048] Train: [32/100][350/400] Data 0.003 (0.003) Batch 0.207 (0.199) Remain 01:30:32 loss: 0.7756 Lr: 2.44593e-03 +[2025-03-25 05:24:23,006 INFO hook.py line 566 195048] Train: [32/100][400/400] Data 0.001 (0.003) Batch 0.148 (0.197) Remain 01:29:23 loss: 0.3951 Lr: 2.44111e-03 +[2025-03-25 05:24:23,007 INFO misc.py line 135 195048] Train result: loss: 0.5942 +[2025-03-25 05:24:23,085 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:24:34,084 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2332 +[2025-03-25 05:24:34,120 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7790 +[2025-03-25 05:24:34,154 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3537 +[2025-03-25 05:24:34,198 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5905 +[2025-03-25 05:24:34,234 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6122 +[2025-03-25 05:24:34,284 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3375 +[2025-03-25 05:24:34,331 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7085 +[2025-03-25 05:24:34,356 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3277 +[2025-03-25 05:24:34,402 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1214 +[2025-03-25 05:24:34,433 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7742 +[2025-03-25 05:24:34,476 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6076 +[2025-03-25 05:24:34,505 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9874 +[2025-03-25 05:24:34,548 INFO hook.py line 748 195048] Test: [13/78] Loss 1.5403 +[2025-03-25 05:24:34,591 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0684 +[2025-03-25 05:24:34,624 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4926 +[2025-03-25 05:24:34,665 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1964 +[2025-03-25 05:24:34,701 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7615 +[2025-03-25 05:24:34,740 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7646 +[2025-03-25 05:24:34,781 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1275 +[2025-03-25 05:24:34,813 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0313 +[2025-03-25 05:24:34,846 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3837 +[2025-03-25 05:24:34,882 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6547 +[2025-03-25 05:24:34,906 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9614 +[2025-03-25 05:24:34,947 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7938 +[2025-03-25 05:24:34,983 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9646 +[2025-03-25 05:24:35,028 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7486 +[2025-03-25 05:24:35,074 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2957 +[2025-03-25 05:24:35,105 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5443 +[2025-03-25 05:24:35,139 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3017 +[2025-03-25 05:24:35,187 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6949 +[2025-03-25 05:24:35,242 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5638 +[2025-03-25 05:24:35,273 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7233 +[2025-03-25 05:24:35,320 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2755 +[2025-03-25 05:24:35,355 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0162 +[2025-03-25 05:24:35,402 INFO hook.py line 748 195048] Test: [35/78] Loss 0.7198 +[2025-03-25 05:24:35,444 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1637 +[2025-03-25 05:24:35,480 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5519 +[2025-03-25 05:24:35,507 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3837 +[2025-03-25 05:24:35,562 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4570 +[2025-03-25 05:24:35,604 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6736 +[2025-03-25 05:24:35,644 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2029 +[2025-03-25 05:24:35,669 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2527 +[2025-03-25 05:24:35,701 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3559 +[2025-03-25 05:24:35,753 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6847 +[2025-03-25 05:24:35,781 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5358 +[2025-03-25 05:24:35,823 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8451 +[2025-03-25 05:24:35,859 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7931 +[2025-03-25 05:24:35,896 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5965 +[2025-03-25 05:24:35,927 INFO hook.py line 748 195048] Test: [49/78] Loss 0.9897 +[2025-03-25 05:24:35,961 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0168 +[2025-03-25 05:24:35,987 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0032 +[2025-03-25 05:24:36,021 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9264 +[2025-03-25 05:24:36,048 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6543 +[2025-03-25 05:24:36,084 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4096 +[2025-03-25 05:24:36,119 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1462 +[2025-03-25 05:24:36,154 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3757 +[2025-03-25 05:24:36,184 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8779 +[2025-03-25 05:24:36,208 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8737 +[2025-03-25 05:24:36,243 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7631 +[2025-03-25 05:24:36,273 INFO hook.py line 748 195048] Test: [60/78] Loss 0.8272 +[2025-03-25 05:24:36,294 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7454 +[2025-03-25 05:24:36,324 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5972 +[2025-03-25 05:24:36,356 INFO hook.py line 748 195048] Test: [63/78] Loss 0.8753 +[2025-03-25 05:24:36,407 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8090 +[2025-03-25 05:24:36,431 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1486 +[2025-03-25 05:24:36,468 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8216 +[2025-03-25 05:24:36,503 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6063 +[2025-03-25 05:24:36,532 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9802 +[2025-03-25 05:24:36,559 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3674 +[2025-03-25 05:24:36,611 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1995 +[2025-03-25 05:24:36,649 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0060 +[2025-03-25 05:24:36,695 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3752 +[2025-03-25 05:24:36,739 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6841 +[2025-03-25 05:24:36,777 INFO hook.py line 748 195048] Test: [74/78] Loss 2.4836 +[2025-03-25 05:24:36,823 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6813 +[2025-03-25 05:24:36,848 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1376 +[2025-03-25 05:24:36,898 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6094 +[2025-03-25 05:24:36,922 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9750 +[2025-03-25 05:24:37,960 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:24:37,960 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:24:37,960 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] wall : 0.7670 0.8310 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] floor : 0.9541 0.9863 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] cabinet : 0.4967 0.6932 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] bed : 0.6700 0.8636 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] chair : 0.8634 0.9093 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] sofa : 0.7408 0.8796 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] table : 0.6666 0.7817 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] door : 0.4762 0.7771 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] window : 0.4932 0.6989 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] bookshelf : 0.6422 0.9180 +[2025-03-25 05:24:37,960 INFO hook.py line 689 195048] picture : 0.2239 0.3017 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] counter : 0.5492 0.7557 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] desk : 0.5259 0.7487 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] curtain : 0.6196 0.6974 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] refridgerator : 0.4605 0.5302 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] shower curtain : 0.6578 0.8050 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] toilet : 0.8564 0.9444 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] sink : 0.5649 0.7079 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] bathtub : 0.8103 0.9215 +[2025-03-25 05:24:37,961 INFO hook.py line 689 195048] otherfurniture : 0.4681 0.5449 +[2025-03-25 05:24:37,961 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:24:37,961 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6253/0.7648/0.8493. +[2025-03-25 05:24:37,961 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:24:37,973 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:24:37,974 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:24:51,514 INFO hook.py line 566 195048] Train: [33/100][50/400] Data 0.004 (0.003) Batch 0.208 (0.202) Remain 01:31:16 loss: 0.6194 Lr: 2.43627e-03 +[2025-03-25 05:25:01,435 INFO hook.py line 566 195048] Train: [33/100][100/400] Data 0.004 (0.003) Batch 0.206 (0.200) Remain 01:30:19 loss: 0.8204 Lr: 2.43142e-03 +[2025-03-25 05:25:11,399 INFO hook.py line 566 195048] Train: [33/100][150/400] Data 0.003 (0.003) Batch 0.189 (0.200) Remain 01:30:03 loss: 0.7304 Lr: 2.42655e-03 +[2025-03-25 05:25:21,349 INFO hook.py line 566 195048] Train: [33/100][200/400] Data 0.002 (0.003) Batch 0.220 (0.200) Remain 01:29:48 loss: 0.5006 Lr: 2.42167e-03 +[2025-03-25 05:25:31,414 INFO hook.py line 566 195048] Train: [33/100][250/400] Data 0.002 (0.003) Batch 0.187 (0.200) Remain 01:29:47 loss: 0.7008 Lr: 2.41677e-03 +[2025-03-25 05:25:41,389 INFO hook.py line 566 195048] Train: [33/100][300/400] Data 0.003 (0.003) Batch 0.202 (0.200) Remain 01:29:35 loss: 0.6771 Lr: 2.41186e-03 +[2025-03-25 05:25:51,239 INFO hook.py line 566 195048] Train: [33/100][350/400] Data 0.002 (0.003) Batch 0.205 (0.199) Remain 01:29:14 loss: 0.4776 Lr: 2.40693e-03 +[2025-03-25 05:26:00,211 INFO hook.py line 566 195048] Train: [33/100][400/400] Data 0.001 (0.003) Batch 0.157 (0.197) Remain 01:27:57 loss: 0.4503 Lr: 2.40198e-03 +[2025-03-25 05:26:00,211 INFO misc.py line 135 195048] Train result: loss: 0.5940 +[2025-03-25 05:26:00,308 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:26:10,843 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2140 +[2025-03-25 05:26:10,887 INFO hook.py line 748 195048] Test: [2/78] Loss 1.0926 +[2025-03-25 05:26:11,297 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3603 +[2025-03-25 05:26:11,346 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5550 +[2025-03-25 05:26:11,489 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6151 +[2025-03-25 05:26:11,539 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5377 +[2025-03-25 05:26:11,585 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7602 +[2025-03-25 05:26:11,610 INFO hook.py line 748 195048] Test: [8/78] Loss 0.5801 +[2025-03-25 05:26:11,653 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9127 +[2025-03-25 05:26:11,682 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0820 +[2025-03-25 05:26:11,724 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6061 +[2025-03-25 05:26:11,753 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3842 +[2025-03-25 05:26:11,797 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9234 +[2025-03-25 05:26:11,838 INFO hook.py line 748 195048] Test: [14/78] Loss 1.5327 +[2025-03-25 05:26:11,871 INFO hook.py line 748 195048] Test: [15/78] Loss 1.3019 +[2025-03-25 05:26:11,912 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3217 +[2025-03-25 05:26:11,947 INFO hook.py line 748 195048] Test: [17/78] Loss 1.0546 +[2025-03-25 05:26:11,977 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7272 +[2025-03-25 05:26:12,017 INFO hook.py line 748 195048] Test: [19/78] Loss 1.6807 +[2025-03-25 05:26:12,048 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0127 +[2025-03-25 05:26:12,079 INFO hook.py line 748 195048] Test: [21/78] Loss 0.4715 +[2025-03-25 05:26:12,115 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6410 +[2025-03-25 05:26:12,141 INFO hook.py line 748 195048] Test: [23/78] Loss 1.2227 +[2025-03-25 05:26:12,180 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0234 +[2025-03-25 05:26:12,216 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8273 +[2025-03-25 05:26:12,263 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7018 +[2025-03-25 05:26:12,311 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5183 +[2025-03-25 05:26:12,341 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4194 +[2025-03-25 05:26:12,370 INFO hook.py line 748 195048] Test: [29/78] Loss 0.4033 +[2025-03-25 05:26:12,420 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6540 +[2025-03-25 05:26:12,475 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5650 +[2025-03-25 05:26:12,505 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6278 +[2025-03-25 05:26:12,553 INFO hook.py line 748 195048] Test: [33/78] Loss 0.4869 +[2025-03-25 05:26:12,592 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2638 +[2025-03-25 05:26:12,629 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5020 +[2025-03-25 05:26:12,664 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1914 +[2025-03-25 05:26:12,697 INFO hook.py line 748 195048] Test: [37/78] Loss 0.8624 +[2025-03-25 05:26:12,728 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5000 +[2025-03-25 05:26:12,783 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7337 +[2025-03-25 05:26:12,826 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9528 +[2025-03-25 05:26:12,866 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1663 +[2025-03-25 05:26:12,900 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4064 +[2025-03-25 05:26:12,931 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3837 +[2025-03-25 05:26:12,983 INFO hook.py line 748 195048] Test: [44/78] Loss 1.2593 +[2025-03-25 05:26:13,012 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6884 +[2025-03-25 05:26:13,055 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6842 +[2025-03-25 05:26:13,093 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8098 +[2025-03-25 05:26:13,123 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6194 +[2025-03-25 05:26:13,155 INFO hook.py line 748 195048] Test: [49/78] Loss 1.1212 +[2025-03-25 05:26:13,199 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1417 +[2025-03-25 05:26:13,230 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1374 +[2025-03-25 05:26:13,271 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0367 +[2025-03-25 05:26:13,301 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6937 +[2025-03-25 05:26:13,337 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1931 +[2025-03-25 05:26:13,371 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1324 +[2025-03-25 05:26:13,406 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3499 +[2025-03-25 05:26:13,435 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9799 +[2025-03-25 05:26:13,458 INFO hook.py line 748 195048] Test: [58/78] Loss 1.0534 +[2025-03-25 05:26:13,493 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8902 +[2025-03-25 05:26:13,522 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5840 +[2025-03-25 05:26:13,542 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8615 +[2025-03-25 05:26:13,571 INFO hook.py line 748 195048] Test: [62/78] Loss 0.8416 +[2025-03-25 05:26:13,604 INFO hook.py line 748 195048] Test: [63/78] Loss 1.5826 +[2025-03-25 05:26:13,654 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8111 +[2025-03-25 05:26:13,678 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9657 +[2025-03-25 05:26:13,714 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8964 +[2025-03-25 05:26:13,749 INFO hook.py line 748 195048] Test: [67/78] Loss 0.7408 +[2025-03-25 05:26:13,777 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0610 +[2025-03-25 05:26:13,803 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4168 +[2025-03-25 05:26:13,855 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2929 +[2025-03-25 05:26:13,893 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2618 +[2025-03-25 05:26:13,939 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5934 +[2025-03-25 05:26:13,982 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6653 +[2025-03-25 05:26:14,019 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2361 +[2025-03-25 05:26:14,065 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5930 +[2025-03-25 05:26:14,090 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9918 +[2025-03-25 05:26:14,140 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5163 +[2025-03-25 05:26:14,162 INFO hook.py line 748 195048] Test: [78/78] Loss 1.2729 +[2025-03-25 05:26:15,072 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:26:15,072 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:26:15,072 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:26:15,072 INFO hook.py line 689 195048] wall : 0.7621 0.8296 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] floor : 0.9520 0.9704 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] cabinet : 0.5150 0.6517 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] bed : 0.7114 0.8461 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] chair : 0.8565 0.9066 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] sofa : 0.7649 0.8793 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] table : 0.5955 0.7347 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] door : 0.5276 0.7159 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] window : 0.4039 0.7713 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] bookshelf : 0.5203 0.9452 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] picture : 0.2323 0.3281 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] counter : 0.4277 0.4886 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] desk : 0.5016 0.6543 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] curtain : 0.5661 0.6373 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] refridgerator : 0.4231 0.4692 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] shower curtain : 0.6582 0.8399 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] toilet : 0.8484 0.9665 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] sink : 0.5815 0.7073 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] bathtub : 0.5533 0.9502 +[2025-03-25 05:26:15,073 INFO hook.py line 689 195048] otherfurniture : 0.4483 0.5795 +[2025-03-25 05:26:15,073 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:26:15,073 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.5925/0.7436/0.8379. +[2025-03-25 05:26:15,074 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:26:15,085 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:26:15,085 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:26:28,958 INFO hook.py line 566 195048] Train: [34/100][50/400] Data 0.002 (0.003) Batch 0.197 (0.201) Remain 01:29:36 loss: 0.7196 Lr: 2.39702e-03 +[2025-03-25 05:26:38,784 INFO hook.py line 566 195048] Train: [34/100][100/400] Data 0.003 (0.003) Batch 0.191 (0.199) Remain 01:28:24 loss: 0.8693 Lr: 2.39204e-03 +[2025-03-25 05:26:48,750 INFO hook.py line 566 195048] Train: [34/100][150/400] Data 0.003 (0.003) Batch 0.204 (0.199) Remain 01:28:20 loss: 0.2184 Lr: 2.38705e-03 +[2025-03-25 05:26:58,690 INFO hook.py line 566 195048] Train: [34/100][200/400] Data 0.002 (0.003) Batch 0.192 (0.199) Remain 01:28:10 loss: 0.4937 Lr: 2.38204e-03 +[2025-03-25 05:27:08,748 INFO hook.py line 566 195048] Train: [34/100][250/400] Data 0.002 (0.003) Batch 0.228 (0.199) Remain 01:28:12 loss: 0.6899 Lr: 2.37702e-03 +[2025-03-25 05:27:18,915 INFO hook.py line 566 195048] Train: [34/100][300/400] Data 0.002 (0.003) Batch 0.204 (0.200) Remain 01:28:20 loss: 0.5598 Lr: 2.37198e-03 +[2025-03-25 05:27:29,012 INFO hook.py line 566 195048] Train: [34/100][350/400] Data 0.002 (0.003) Batch 0.182 (0.200) Remain 01:28:17 loss: 0.9456 Lr: 2.36693e-03 +[2025-03-25 05:27:38,215 INFO hook.py line 566 195048] Train: [34/100][400/400] Data 0.001 (0.003) Batch 0.157 (0.198) Remain 01:27:13 loss: 0.5107 Lr: 2.36186e-03 +[2025-03-25 05:27:38,216 INFO misc.py line 135 195048] Train result: loss: 0.5861 +[2025-03-25 05:27:38,302 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:27:48,617 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2035 +[2025-03-25 05:27:48,691 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7783 +[2025-03-25 05:27:48,745 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3383 +[2025-03-25 05:27:48,878 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5147 +[2025-03-25 05:27:48,977 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5047 +[2025-03-25 05:27:49,029 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3216 +[2025-03-25 05:27:49,082 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5578 +[2025-03-25 05:27:49,114 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3164 +[2025-03-25 05:27:49,194 INFO hook.py line 748 195048] Test: [9/78] Loss 0.7830 +[2025-03-25 05:27:49,695 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0736 +[2025-03-25 05:27:49,735 INFO hook.py line 748 195048] Test: [11/78] Loss 0.4817 +[2025-03-25 05:27:49,766 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0468 +[2025-03-25 05:27:49,811 INFO hook.py line 748 195048] Test: [13/78] Loss 2.3660 +[2025-03-25 05:27:49,849 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8333 +[2025-03-25 05:27:49,881 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9543 +[2025-03-25 05:27:49,923 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2205 +[2025-03-25 05:27:49,959 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5830 +[2025-03-25 05:27:49,990 INFO hook.py line 748 195048] Test: [18/78] Loss 1.2855 +[2025-03-25 05:27:50,031 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2186 +[2025-03-25 05:27:50,061 INFO hook.py line 748 195048] Test: [20/78] Loss 0.7340 +[2025-03-25 05:27:50,094 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3398 +[2025-03-25 05:27:50,130 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5039 +[2025-03-25 05:27:50,156 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8885 +[2025-03-25 05:27:50,195 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9665 +[2025-03-25 05:27:50,233 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0518 +[2025-03-25 05:27:50,272 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6332 +[2025-03-25 05:27:50,316 INFO hook.py line 748 195048] Test: [27/78] Loss 0.8920 +[2025-03-25 05:27:50,346 INFO hook.py line 748 195048] Test: [28/78] Loss 0.6448 +[2025-03-25 05:27:50,371 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3193 +[2025-03-25 05:27:50,421 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4159 +[2025-03-25 05:27:50,475 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5290 +[2025-03-25 05:27:50,507 INFO hook.py line 748 195048] Test: [32/78] Loss 0.4279 +[2025-03-25 05:27:50,557 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3190 +[2025-03-25 05:27:50,595 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9713 +[2025-03-25 05:27:50,632 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3595 +[2025-03-25 05:27:50,663 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1846 +[2025-03-25 05:27:50,697 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4283 +[2025-03-25 05:27:50,729 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3245 +[2025-03-25 05:27:50,783 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4891 +[2025-03-25 05:27:50,826 INFO hook.py line 748 195048] Test: [40/78] Loss 1.3684 +[2025-03-25 05:27:50,865 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0138 +[2025-03-25 05:27:50,890 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2608 +[2025-03-25 05:27:50,922 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2965 +[2025-03-25 05:27:50,975 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5799 +[2025-03-25 05:27:51,005 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6283 +[2025-03-25 05:27:51,047 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6116 +[2025-03-25 05:27:51,084 INFO hook.py line 748 195048] Test: [47/78] Loss 2.1128 +[2025-03-25 05:27:51,115 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5878 +[2025-03-25 05:27:51,146 INFO hook.py line 748 195048] Test: [49/78] Loss 1.0590 +[2025-03-25 05:27:51,180 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9478 +[2025-03-25 05:27:51,207 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1454 +[2025-03-25 05:27:51,240 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8037 +[2025-03-25 05:27:51,266 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3562 +[2025-03-25 05:27:51,305 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1829 +[2025-03-25 05:27:51,340 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0695 +[2025-03-25 05:27:51,375 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2834 +[2025-03-25 05:27:51,405 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6942 +[2025-03-25 05:27:51,428 INFO hook.py line 748 195048] Test: [58/78] Loss 0.4752 +[2025-03-25 05:27:51,462 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8397 +[2025-03-25 05:27:51,492 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5383 +[2025-03-25 05:27:51,511 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7761 +[2025-03-25 05:27:51,540 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6107 +[2025-03-25 05:27:51,572 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3668 +[2025-03-25 05:27:51,623 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2698 +[2025-03-25 05:27:51,646 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1025 +[2025-03-25 05:27:51,683 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6233 +[2025-03-25 05:27:51,717 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3517 +[2025-03-25 05:27:51,746 INFO hook.py line 748 195048] Test: [68/78] Loss 0.8627 +[2025-03-25 05:27:51,772 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3629 +[2025-03-25 05:27:51,824 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2549 +[2025-03-25 05:27:51,862 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1606 +[2025-03-25 05:27:51,908 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4559 +[2025-03-25 05:27:51,951 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4319 +[2025-03-25 05:27:51,989 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1146 +[2025-03-25 05:27:52,036 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5989 +[2025-03-25 05:27:52,061 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9349 +[2025-03-25 05:27:52,111 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3774 +[2025-03-25 05:27:52,135 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5572 +[2025-03-25 05:27:53,117 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:27:53,117 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:27:53,117 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:27:53,117 INFO hook.py line 689 195048] wall : 0.7993 0.9119 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] floor : 0.9554 0.9767 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] cabinet : 0.5391 0.6085 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] bed : 0.6774 0.7126 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] chair : 0.8656 0.9373 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] sofa : 0.8210 0.8684 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] table : 0.6418 0.7420 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] door : 0.5667 0.7010 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] window : 0.4612 0.5763 +[2025-03-25 05:27:53,118 INFO hook.py line 689 195048] bookshelf : 0.6744 0.9044 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] picture : 0.2430 0.3600 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] counter : 0.5692 0.7510 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] desk : 0.4943 0.8283 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] curtain : 0.5287 0.8683 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] refridgerator : 0.3543 0.3779 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] shower curtain : 0.5339 0.5798 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] toilet : 0.8611 0.9046 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] sink : 0.5867 0.7167 +[2025-03-25 05:27:53,119 INFO hook.py line 689 195048] bathtub : 0.8656 0.9116 +[2025-03-25 05:27:53,120 INFO hook.py line 689 195048] otherfurniture : 0.4271 0.5581 +[2025-03-25 05:27:53,120 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:27:53,120 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6233/0.7398/0.8597. +[2025-03-25 05:27:53,121 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:27:53,136 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:27:53,136 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:28:06,337 INFO hook.py line 566 195048] Train: [35/100][50/400] Data 0.002 (0.003) Batch 0.194 (0.203) Remain 01:29:17 loss: 0.3242 Lr: 2.35678e-03 +[2025-03-25 05:28:16,192 INFO hook.py line 566 195048] Train: [35/100][100/400] Data 0.003 (0.003) Batch 0.195 (0.200) Remain 01:27:43 loss: 0.6316 Lr: 2.35168e-03 +[2025-03-25 05:28:26,277 INFO hook.py line 566 195048] Train: [35/100][150/400] Data 0.002 (0.003) Batch 0.189 (0.201) Remain 01:27:47 loss: 1.0524 Lr: 2.34657e-03 +[2025-03-25 05:28:36,146 INFO hook.py line 566 195048] Train: [35/100][200/400] Data 0.004 (0.003) Batch 0.202 (0.200) Remain 01:27:15 loss: 0.6700 Lr: 2.34145e-03 +[2025-03-25 05:28:46,147 INFO hook.py line 566 195048] Train: [35/100][250/400] Data 0.002 (0.003) Batch 0.194 (0.200) Remain 01:27:06 loss: 0.1942 Lr: 2.33631e-03 +[2025-03-25 05:28:56,140 INFO hook.py line 566 195048] Train: [35/100][300/400] Data 0.002 (0.003) Batch 0.206 (0.200) Remain 01:26:56 loss: 0.2926 Lr: 2.33115e-03 +[2025-03-25 05:29:05,836 INFO hook.py line 566 195048] Train: [35/100][350/400] Data 0.004 (0.003) Batch 0.206 (0.199) Remain 01:26:23 loss: 0.7639 Lr: 2.32598e-03 +[2025-03-25 05:29:14,798 INFO hook.py line 566 195048] Train: [35/100][400/400] Data 0.001 (0.003) Batch 0.156 (0.197) Remain 01:25:09 loss: 0.8221 Lr: 2.32080e-03 +[2025-03-25 05:29:14,798 INFO misc.py line 135 195048] Train result: loss: 0.5699 +[2025-03-25 05:29:14,888 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:29:25,536 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2701 +[2025-03-25 05:29:25,575 INFO hook.py line 748 195048] Test: [2/78] Loss 0.9632 +[2025-03-25 05:29:25,676 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4159 +[2025-03-25 05:29:25,728 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6421 +[2025-03-25 05:29:25,770 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3980 +[2025-03-25 05:29:25,819 INFO hook.py line 748 195048] Test: [6/78] Loss 1.2058 +[2025-03-25 05:29:25,866 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7719 +[2025-03-25 05:29:25,891 INFO hook.py line 748 195048] Test: [8/78] Loss 0.6033 +[2025-03-25 05:29:26,245 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1855 +[2025-03-25 05:29:26,280 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6681 +[2025-03-25 05:29:26,330 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7105 +[2025-03-25 05:29:26,358 INFO hook.py line 748 195048] Test: [12/78] Loss 0.7838 +[2025-03-25 05:29:26,404 INFO hook.py line 748 195048] Test: [13/78] Loss 1.5975 +[2025-03-25 05:29:26,438 INFO hook.py line 748 195048] Test: [14/78] Loss 2.2573 +[2025-03-25 05:29:26,471 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6683 +[2025-03-25 05:29:26,512 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3463 +[2025-03-25 05:29:26,547 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6442 +[2025-03-25 05:29:26,585 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8336 +[2025-03-25 05:29:26,625 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1541 +[2025-03-25 05:29:26,653 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1649 +[2025-03-25 05:29:26,685 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3230 +[2025-03-25 05:29:26,734 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3887 +[2025-03-25 05:29:26,772 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9465 +[2025-03-25 05:29:26,811 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9268 +[2025-03-25 05:29:26,848 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8616 +[2025-03-25 05:29:26,885 INFO hook.py line 748 195048] Test: [26/78] Loss 0.4682 +[2025-03-25 05:29:26,931 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3734 +[2025-03-25 05:29:26,960 INFO hook.py line 748 195048] Test: [28/78] Loss 0.7166 +[2025-03-25 05:29:26,986 INFO hook.py line 748 195048] Test: [29/78] Loss 0.4102 +[2025-03-25 05:29:27,035 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7906 +[2025-03-25 05:29:27,089 INFO hook.py line 748 195048] Test: [31/78] Loss 0.8739 +[2025-03-25 05:29:27,121 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6831 +[2025-03-25 05:29:27,169 INFO hook.py line 748 195048] Test: [33/78] Loss 0.1907 +[2025-03-25 05:29:27,207 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0902 +[2025-03-25 05:29:27,241 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3354 +[2025-03-25 05:29:27,274 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1160 +[2025-03-25 05:29:27,309 INFO hook.py line 748 195048] Test: [37/78] Loss 0.9373 +[2025-03-25 05:29:27,336 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2587 +[2025-03-25 05:29:27,391 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4091 +[2025-03-25 05:29:27,434 INFO hook.py line 748 195048] Test: [40/78] Loss 1.4826 +[2025-03-25 05:29:27,472 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1012 +[2025-03-25 05:29:27,497 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4582 +[2025-03-25 05:29:27,529 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3330 +[2025-03-25 05:29:27,583 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5922 +[2025-03-25 05:29:27,614 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5761 +[2025-03-25 05:29:27,662 INFO hook.py line 748 195048] Test: [46/78] Loss 0.5653 +[2025-03-25 05:29:27,698 INFO hook.py line 748 195048] Test: [47/78] Loss 1.4319 +[2025-03-25 05:29:27,731 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7562 +[2025-03-25 05:29:27,763 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7591 +[2025-03-25 05:29:27,797 INFO hook.py line 748 195048] Test: [50/78] Loss 1.4349 +[2025-03-25 05:29:27,827 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0558 +[2025-03-25 05:29:27,863 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0314 +[2025-03-25 05:29:27,892 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3771 +[2025-03-25 05:29:27,928 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8906 +[2025-03-25 05:29:27,965 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1733 +[2025-03-25 05:29:28,000 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2691 +[2025-03-25 05:29:28,029 INFO hook.py line 748 195048] Test: [57/78] Loss 1.4264 +[2025-03-25 05:29:28,052 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7784 +[2025-03-25 05:29:28,087 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7615 +[2025-03-25 05:29:28,116 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7027 +[2025-03-25 05:29:28,137 INFO hook.py line 748 195048] Test: [61/78] Loss 1.0321 +[2025-03-25 05:29:28,166 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7666 +[2025-03-25 05:29:28,198 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1794 +[2025-03-25 05:29:28,249 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5288 +[2025-03-25 05:29:28,273 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3339 +[2025-03-25 05:29:28,309 INFO hook.py line 748 195048] Test: [66/78] Loss 1.2981 +[2025-03-25 05:29:28,345 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4722 +[2025-03-25 05:29:28,373 INFO hook.py line 748 195048] Test: [68/78] Loss 1.4444 +[2025-03-25 05:29:28,400 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2746 +[2025-03-25 05:29:28,452 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3463 +[2025-03-25 05:29:28,489 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1576 +[2025-03-25 05:29:28,535 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4916 +[2025-03-25 05:29:28,578 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7926 +[2025-03-25 05:29:28,616 INFO hook.py line 748 195048] Test: [74/78] Loss 1.7243 +[2025-03-25 05:29:28,662 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7236 +[2025-03-25 05:29:28,687 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0847 +[2025-03-25 05:29:28,737 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6734 +[2025-03-25 05:29:28,760 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9873 +[2025-03-25 05:29:29,751 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:29:29,752 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:29:29,752 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:29:29,752 INFO hook.py line 689 195048] wall : 0.7982 0.9051 +[2025-03-25 05:29:29,752 INFO hook.py line 689 195048] floor : 0.9434 0.9808 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] cabinet : 0.5111 0.6892 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] bed : 0.7186 0.8149 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] chair : 0.8173 0.9532 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] sofa : 0.7290 0.8387 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] table : 0.5820 0.6755 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] door : 0.5114 0.7047 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] window : 0.4102 0.4659 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] bookshelf : 0.7626 0.8377 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] picture : 0.2505 0.3275 +[2025-03-25 05:29:29,753 INFO hook.py line 689 195048] counter : 0.4832 0.7478 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] desk : 0.4881 0.6012 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] curtain : 0.6218 0.7492 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] refridgerator : 0.4776 0.5514 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] shower curtain : 0.5660 0.6420 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] toilet : 0.8494 0.9214 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] sink : 0.5249 0.6028 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] bathtub : 0.6914 0.9171 +[2025-03-25 05:29:29,754 INFO hook.py line 689 195048] otherfurniture : 0.4757 0.6275 +[2025-03-25 05:29:29,754 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:29:29,754 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6106/0.7277/0.8548. +[2025-03-25 05:29:29,756 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:29:29,772 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:29:29,773 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:29:43,391 INFO hook.py line 566 195048] Train: [36/100][50/400] Data 0.003 (0.003) Batch 0.172 (0.203) Remain 01:27:46 loss: 0.6249 Lr: 2.31561e-03 +[2025-03-25 05:29:53,872 INFO hook.py line 566 195048] Train: [36/100][100/400] Data 0.003 (0.003) Batch 0.429 (0.206) Remain 01:29:05 loss: 0.4082 Lr: 2.31039e-03 +[2025-03-25 05:30:03,844 INFO hook.py line 566 195048] Train: [36/100][150/400] Data 0.003 (0.003) Batch 0.193 (0.204) Remain 01:27:53 loss: 0.4709 Lr: 2.30517e-03 +[2025-03-25 05:30:13,648 INFO hook.py line 566 195048] Train: [36/100][200/400] Data 0.004 (0.003) Batch 0.200 (0.202) Remain 01:26:51 loss: 0.4406 Lr: 2.29993e-03 +[2025-03-25 05:30:23,732 INFO hook.py line 566 195048] Train: [36/100][250/400] Data 0.003 (0.003) Batch 0.218 (0.202) Remain 01:26:39 loss: 0.3068 Lr: 2.29468e-03 +[2025-03-25 05:30:33,342 INFO hook.py line 566 195048] Train: [36/100][300/400] Data 0.003 (0.003) Batch 0.191 (0.200) Remain 01:25:47 loss: 0.6932 Lr: 2.28942e-03 +[2025-03-25 05:30:43,335 INFO hook.py line 566 195048] Train: [36/100][350/400] Data 0.003 (0.003) Batch 0.183 (0.200) Remain 01:25:35 loss: 0.3500 Lr: 2.28414e-03 +[2025-03-25 05:30:52,250 INFO hook.py line 566 195048] Train: [36/100][400/400] Data 0.001 (0.003) Batch 0.154 (0.197) Remain 01:24:15 loss: 0.6120 Lr: 2.27884e-03 +[2025-03-25 05:30:52,251 INFO misc.py line 135 195048] Train result: loss: 0.5417 +[2025-03-25 05:30:52,334 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:31:02,598 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2762 +[2025-03-25 05:31:02,867 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8255 +[2025-03-25 05:31:02,919 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3069 +[2025-03-25 05:31:03,300 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5934 +[2025-03-25 05:31:03,744 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5803 +[2025-03-25 05:31:03,807 INFO hook.py line 748 195048] Test: [6/78] Loss 1.1982 +[2025-03-25 05:31:03,853 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6068 +[2025-03-25 05:31:03,884 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3040 +[2025-03-25 05:31:03,926 INFO hook.py line 748 195048] Test: [9/78] Loss 0.8702 +[2025-03-25 05:31:03,957 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9869 +[2025-03-25 05:31:03,998 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7830 +[2025-03-25 05:31:04,027 INFO hook.py line 748 195048] Test: [12/78] Loss 0.8452 +[2025-03-25 05:31:04,070 INFO hook.py line 748 195048] Test: [13/78] Loss 1.3531 +[2025-03-25 05:31:04,104 INFO hook.py line 748 195048] Test: [14/78] Loss 1.9072 +[2025-03-25 05:31:04,137 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7487 +[2025-03-25 05:31:04,178 INFO hook.py line 748 195048] Test: [16/78] Loss 0.6495 +[2025-03-25 05:31:04,212 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7432 +[2025-03-25 05:31:04,242 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7186 +[2025-03-25 05:31:04,280 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9129 +[2025-03-25 05:31:04,309 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0482 +[2025-03-25 05:31:04,340 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3935 +[2025-03-25 05:31:04,376 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6044 +[2025-03-25 05:31:04,400 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9995 +[2025-03-25 05:31:04,440 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8854 +[2025-03-25 05:31:04,478 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0389 +[2025-03-25 05:31:04,515 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6277 +[2025-03-25 05:31:04,560 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5030 +[2025-03-25 05:31:04,592 INFO hook.py line 748 195048] Test: [28/78] Loss 0.6203 +[2025-03-25 05:31:04,618 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3111 +[2025-03-25 05:31:04,669 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7056 +[2025-03-25 05:31:04,722 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5843 +[2025-03-25 05:31:04,753 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6710 +[2025-03-25 05:31:04,800 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3119 +[2025-03-25 05:31:04,835 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1335 +[2025-03-25 05:31:04,870 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3800 +[2025-03-25 05:31:04,901 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1341 +[2025-03-25 05:31:04,935 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7560 +[2025-03-25 05:31:04,962 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3183 +[2025-03-25 05:31:05,016 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5496 +[2025-03-25 05:31:05,057 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7835 +[2025-03-25 05:31:05,097 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1609 +[2025-03-25 05:31:05,122 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2124 +[2025-03-25 05:31:05,154 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3050 +[2025-03-25 05:31:05,205 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5305 +[2025-03-25 05:31:05,233 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4349 +[2025-03-25 05:31:05,275 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8908 +[2025-03-25 05:31:05,309 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8938 +[2025-03-25 05:31:05,342 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7138 +[2025-03-25 05:31:05,375 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2616 +[2025-03-25 05:31:05,408 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0218 +[2025-03-25 05:31:05,437 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1732 +[2025-03-25 05:31:05,471 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0572 +[2025-03-25 05:31:05,501 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4074 +[2025-03-25 05:31:05,536 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2293 +[2025-03-25 05:31:05,573 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0600 +[2025-03-25 05:31:05,609 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2795 +[2025-03-25 05:31:05,637 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7582 +[2025-03-25 05:31:05,660 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6868 +[2025-03-25 05:31:05,695 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8652 +[2025-03-25 05:31:05,723 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6433 +[2025-03-25 05:31:05,744 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7078 +[2025-03-25 05:31:05,773 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5989 +[2025-03-25 05:31:05,805 INFO hook.py line 748 195048] Test: [63/78] Loss 0.9550 +[2025-03-25 05:31:05,856 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2920 +[2025-03-25 05:31:05,879 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0865 +[2025-03-25 05:31:05,916 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6439 +[2025-03-25 05:31:05,951 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3937 +[2025-03-25 05:31:05,979 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0260 +[2025-03-25 05:31:06,005 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3442 +[2025-03-25 05:31:06,058 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1568 +[2025-03-25 05:31:06,095 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2369 +[2025-03-25 05:31:06,141 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3148 +[2025-03-25 05:31:06,186 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7205 +[2025-03-25 05:31:06,223 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0362 +[2025-03-25 05:31:06,269 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6234 +[2025-03-25 05:31:06,294 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0429 +[2025-03-25 05:31:06,344 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7368 +[2025-03-25 05:31:06,368 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7876 +[2025-03-25 05:31:07,323 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:31:07,324 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:31:07,324 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] wall : 0.7962 0.8964 +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] floor : 0.9522 0.9862 +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] cabinet : 0.5292 0.7655 +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] bed : 0.7095 0.8491 +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] chair : 0.7991 0.9027 +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] sofa : 0.6920 0.9230 +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] table : 0.6658 0.7412 +[2025-03-25 05:31:07,324 INFO hook.py line 689 195048] door : 0.5317 0.7023 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] window : 0.4786 0.6194 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] bookshelf : 0.7013 0.8681 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] picture : 0.2385 0.3348 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] counter : 0.4491 0.4907 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] desk : 0.5521 0.6586 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] curtain : 0.5776 0.6806 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] refridgerator : 0.4930 0.5776 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] shower curtain : 0.5911 0.7634 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] toilet : 0.8847 0.9368 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] sink : 0.5235 0.5950 +[2025-03-25 05:31:07,325 INFO hook.py line 689 195048] bathtub : 0.7298 0.9565 +[2025-03-25 05:31:07,326 INFO hook.py line 689 195048] otherfurniture : 0.4236 0.4873 +[2025-03-25 05:31:07,326 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:31:07,326 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6159/0.7368/0.8570. +[2025-03-25 05:31:07,327 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:31:07,337 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:31:07,337 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:31:20,754 INFO hook.py line 566 195048] Train: [37/100][50/400] Data 0.002 (0.003) Batch 0.200 (0.197) Remain 01:24:05 loss: 0.6036 Lr: 2.27354e-03 +[2025-03-25 05:31:30,703 INFO hook.py line 566 195048] Train: [37/100][100/400] Data 0.003 (0.003) Batch 0.209 (0.198) Remain 01:24:15 loss: 0.6522 Lr: 2.26822e-03 +[2025-03-25 05:31:40,751 INFO hook.py line 566 195048] Train: [37/100][150/400] Data 0.003 (0.003) Batch 0.206 (0.199) Remain 01:24:28 loss: 0.3647 Lr: 2.26289e-03 +[2025-03-25 05:31:50,557 INFO hook.py line 566 195048] Train: [37/100][200/400] Data 0.004 (0.003) Batch 0.197 (0.198) Remain 01:23:59 loss: 0.3710 Lr: 2.25754e-03 +[2025-03-25 05:32:00,672 INFO hook.py line 566 195048] Train: [37/100][250/400] Data 0.002 (0.003) Batch 0.330 (0.199) Remain 01:24:09 loss: 0.2751 Lr: 2.25219e-03 +[2025-03-25 05:32:10,740 INFO hook.py line 566 195048] Train: [37/100][300/400] Data 0.003 (0.003) Batch 0.194 (0.200) Remain 01:24:08 loss: 0.6539 Lr: 2.24682e-03 +[2025-03-25 05:32:20,669 INFO hook.py line 566 195048] Train: [37/100][350/400] Data 0.003 (0.003) Batch 0.185 (0.199) Remain 01:23:55 loss: 0.6856 Lr: 2.24154e-03 +[2025-03-25 05:32:29,617 INFO hook.py line 566 195048] Train: [37/100][400/400] Data 0.001 (0.003) Batch 0.164 (0.197) Remain 01:22:40 loss: 0.4347 Lr: 2.23614e-03 +[2025-03-25 05:32:29,617 INFO misc.py line 135 195048] Train result: loss: 0.5565 +[2025-03-25 05:32:29,701 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:32:40,472 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2290 +[2025-03-25 05:32:40,519 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6633 +[2025-03-25 05:32:40,580 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3345 +[2025-03-25 05:32:40,626 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5206 +[2025-03-25 05:32:40,668 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4816 +[2025-03-25 05:32:40,996 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7341 +[2025-03-25 05:32:41,043 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6467 +[2025-03-25 05:32:41,074 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3681 +[2025-03-25 05:32:41,117 INFO hook.py line 748 195048] Test: [9/78] Loss 0.7760 +[2025-03-25 05:32:41,151 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7663 +[2025-03-25 05:32:41,197 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6372 +[2025-03-25 05:32:41,225 INFO hook.py line 748 195048] Test: [12/78] Loss 0.6763 +[2025-03-25 05:32:41,269 INFO hook.py line 748 195048] Test: [13/78] Loss 1.7977 +[2025-03-25 05:32:41,302 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0199 +[2025-03-25 05:32:41,335 INFO hook.py line 748 195048] Test: [15/78] Loss 1.3889 +[2025-03-25 05:32:41,377 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2196 +[2025-03-25 05:32:41,412 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6142 +[2025-03-25 05:32:41,440 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7854 +[2025-03-25 05:32:41,482 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0845 +[2025-03-25 05:32:41,512 INFO hook.py line 748 195048] Test: [20/78] Loss 0.8102 +[2025-03-25 05:32:41,544 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3066 +[2025-03-25 05:32:41,586 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4308 +[2025-03-25 05:32:41,621 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1067 +[2025-03-25 05:32:41,660 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0703 +[2025-03-25 05:32:41,697 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8115 +[2025-03-25 05:32:41,734 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6957 +[2025-03-25 05:32:41,779 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2563 +[2025-03-25 05:32:41,809 INFO hook.py line 748 195048] Test: [28/78] Loss 0.6436 +[2025-03-25 05:32:41,833 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3279 +[2025-03-25 05:32:41,881 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6049 +[2025-03-25 05:32:41,938 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4980 +[2025-03-25 05:32:41,969 INFO hook.py line 748 195048] Test: [32/78] Loss 1.1234 +[2025-03-25 05:32:42,018 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3704 +[2025-03-25 05:32:42,057 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1288 +[2025-03-25 05:32:42,092 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4943 +[2025-03-25 05:32:42,123 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0236 +[2025-03-25 05:32:42,157 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5149 +[2025-03-25 05:32:42,187 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3346 +[2025-03-25 05:32:42,242 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6414 +[2025-03-25 05:32:42,283 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7120 +[2025-03-25 05:32:42,325 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1348 +[2025-03-25 05:32:42,351 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2737 +[2025-03-25 05:32:42,382 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3808 +[2025-03-25 05:32:42,434 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5656 +[2025-03-25 05:32:42,469 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4400 +[2025-03-25 05:32:42,510 INFO hook.py line 748 195048] Test: [46/78] Loss 0.5283 +[2025-03-25 05:32:42,547 INFO hook.py line 748 195048] Test: [47/78] Loss 1.6447 +[2025-03-25 05:32:42,578 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7531 +[2025-03-25 05:32:42,621 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4276 +[2025-03-25 05:32:42,654 INFO hook.py line 748 195048] Test: [50/78] Loss 0.8544 +[2025-03-25 05:32:42,693 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1865 +[2025-03-25 05:32:42,726 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1226 +[2025-03-25 05:32:42,755 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6306 +[2025-03-25 05:32:42,790 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0667 +[2025-03-25 05:32:42,824 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0826 +[2025-03-25 05:32:42,860 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2323 +[2025-03-25 05:32:42,889 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6248 +[2025-03-25 05:32:42,913 INFO hook.py line 748 195048] Test: [58/78] Loss 1.0506 +[2025-03-25 05:32:42,948 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7574 +[2025-03-25 05:32:42,977 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6676 +[2025-03-25 05:32:42,998 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8242 +[2025-03-25 05:32:43,027 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5981 +[2025-03-25 05:32:43,059 INFO hook.py line 748 195048] Test: [63/78] Loss 0.9073 +[2025-03-25 05:32:43,110 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2906 +[2025-03-25 05:32:43,133 INFO hook.py line 748 195048] Test: [65/78] Loss 1.4295 +[2025-03-25 05:32:43,170 INFO hook.py line 748 195048] Test: [66/78] Loss 0.5451 +[2025-03-25 05:32:43,205 INFO hook.py line 748 195048] Test: [67/78] Loss 0.9313 +[2025-03-25 05:32:43,236 INFO hook.py line 748 195048] Test: [68/78] Loss 0.8890 +[2025-03-25 05:32:43,262 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3641 +[2025-03-25 05:32:43,314 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2956 +[2025-03-25 05:32:43,352 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0590 +[2025-03-25 05:32:43,397 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4254 +[2025-03-25 05:32:43,441 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6003 +[2025-03-25 05:32:43,478 INFO hook.py line 748 195048] Test: [74/78] Loss 1.9027 +[2025-03-25 05:32:43,524 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6243 +[2025-03-25 05:32:43,549 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8308 +[2025-03-25 05:32:43,599 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4761 +[2025-03-25 05:32:43,622 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9878 +[2025-03-25 05:32:44,816 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:32:44,816 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:32:44,816 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:32:44,817 INFO hook.py line 689 195048] wall : 0.7957 0.8997 +[2025-03-25 05:32:44,817 INFO hook.py line 689 195048] floor : 0.9537 0.9808 +[2025-03-25 05:32:44,817 INFO hook.py line 689 195048] cabinet : 0.5083 0.6461 +[2025-03-25 05:32:44,817 INFO hook.py line 689 195048] bed : 0.6591 0.8725 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] chair : 0.8669 0.9420 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] sofa : 0.7940 0.8899 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] table : 0.6569 0.7461 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] door : 0.5211 0.7172 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] window : 0.4957 0.6297 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] bookshelf : 0.6963 0.8042 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] picture : 0.2380 0.3906 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] counter : 0.5006 0.6514 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] desk : 0.5110 0.6919 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] curtain : 0.5491 0.5725 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] refridgerator : 0.3922 0.5782 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] shower curtain : 0.4354 0.4631 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] toilet : 0.8502 0.9508 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] sink : 0.5361 0.7692 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] bathtub : 0.8013 0.9008 +[2025-03-25 05:32:44,818 INFO hook.py line 689 195048] otherfurniture : 0.4903 0.6243 +[2025-03-25 05:32:44,818 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:32:44,818 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6126/0.7361/0.8594. +[2025-03-25 05:32:44,819 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:32:44,831 INFO misc.py line 164 195048] Currently Best mIoU: 0.6286 +[2025-03-25 05:32:44,832 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:32:58,321 INFO hook.py line 566 195048] Train: [38/100][50/400] Data 0.002 (0.003) Batch 0.175 (0.198) Remain 01:23:03 loss: 1.2075 Lr: 2.23074e-03 +[2025-03-25 05:33:08,303 INFO hook.py line 566 195048] Train: [38/100][100/400] Data 0.003 (0.003) Batch 0.185 (0.199) Remain 01:23:12 loss: 0.4521 Lr: 2.22531e-03 +[2025-03-25 05:33:18,117 INFO hook.py line 566 195048] Train: [38/100][150/400] Data 0.002 (0.003) Batch 0.182 (0.198) Remain 01:22:40 loss: 0.4635 Lr: 2.21988e-03 +[2025-03-25 05:33:27,965 INFO hook.py line 566 195048] Train: [38/100][200/400] Data 0.003 (0.003) Batch 0.205 (0.198) Remain 01:22:23 loss: 0.5531 Lr: 2.21444e-03 +[2025-03-25 05:33:37,799 INFO hook.py line 566 195048] Train: [38/100][250/400] Data 0.003 (0.003) Batch 0.198 (0.198) Remain 01:22:08 loss: 0.6271 Lr: 2.20898e-03 +[2025-03-25 05:33:47,876 INFO hook.py line 566 195048] Train: [38/100][300/400] Data 0.003 (0.003) Batch 0.207 (0.198) Remain 01:22:15 loss: 0.6167 Lr: 2.20351e-03 +[2025-03-25 05:33:57,682 INFO hook.py line 566 195048] Train: [38/100][350/400] Data 0.002 (0.003) Batch 0.179 (0.198) Remain 01:21:57 loss: 0.4202 Lr: 2.19803e-03 +[2025-03-25 05:34:06,708 INFO hook.py line 566 195048] Train: [38/100][400/400] Data 0.001 (0.003) Batch 0.147 (0.196) Remain 01:20:53 loss: 0.6148 Lr: 2.19253e-03 +[2025-03-25 05:34:06,708 INFO misc.py line 135 195048] Train result: loss: 0.5430 +[2025-03-25 05:34:06,793 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:34:17,465 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3321 +[2025-03-25 05:34:18,094 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6593 +[2025-03-25 05:34:18,123 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3681 +[2025-03-25 05:34:18,165 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4033 +[2025-03-25 05:34:18,199 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5768 +[2025-03-25 05:34:18,250 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4780 +[2025-03-25 05:34:18,297 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5286 +[2025-03-25 05:34:18,322 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3354 +[2025-03-25 05:34:18,363 INFO hook.py line 748 195048] Test: [9/78] Loss 0.7583 +[2025-03-25 05:34:18,394 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6194 +[2025-03-25 05:34:18,436 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6940 +[2025-03-25 05:34:18,465 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9631 +[2025-03-25 05:34:18,509 INFO hook.py line 748 195048] Test: [13/78] Loss 2.1318 +[2025-03-25 05:34:18,543 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7644 +[2025-03-25 05:34:18,576 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0964 +[2025-03-25 05:34:18,617 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1655 +[2025-03-25 05:34:18,655 INFO hook.py line 748 195048] Test: [17/78] Loss 0.4942 +[2025-03-25 05:34:18,684 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8771 +[2025-03-25 05:34:18,726 INFO hook.py line 748 195048] Test: [19/78] Loss 1.5698 +[2025-03-25 05:34:18,759 INFO hook.py line 748 195048] Test: [20/78] Loss 0.7434 +[2025-03-25 05:34:18,791 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2994 +[2025-03-25 05:34:18,828 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3736 +[2025-03-25 05:34:18,856 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8633 +[2025-03-25 05:34:18,896 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0399 +[2025-03-25 05:34:18,935 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9701 +[2025-03-25 05:34:18,972 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5642 +[2025-03-25 05:34:19,019 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6335 +[2025-03-25 05:34:19,049 INFO hook.py line 748 195048] Test: [28/78] Loss 0.6038 +[2025-03-25 05:34:19,085 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2828 +[2025-03-25 05:34:19,138 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6556 +[2025-03-25 05:34:19,194 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4927 +[2025-03-25 05:34:19,226 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5573 +[2025-03-25 05:34:19,273 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2680 +[2025-03-25 05:34:19,307 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1746 +[2025-03-25 05:34:19,341 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3823 +[2025-03-25 05:34:19,374 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2323 +[2025-03-25 05:34:19,410 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6328 +[2025-03-25 05:34:19,438 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3328 +[2025-03-25 05:34:19,493 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5464 +[2025-03-25 05:34:19,534 INFO hook.py line 748 195048] Test: [40/78] Loss 1.3950 +[2025-03-25 05:34:19,573 INFO hook.py line 748 195048] Test: [41/78] Loss 0.8881 +[2025-03-25 05:34:19,597 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4409 +[2025-03-25 05:34:19,629 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4420 +[2025-03-25 05:34:19,686 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5541 +[2025-03-25 05:34:19,716 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5088 +[2025-03-25 05:34:19,759 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7352 +[2025-03-25 05:34:19,794 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0311 +[2025-03-25 05:34:19,825 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6790 +[2025-03-25 05:34:19,861 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5382 +[2025-03-25 05:34:19,895 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2227 +[2025-03-25 05:34:19,922 INFO hook.py line 748 195048] Test: [51/78] Loss 0.9086 +[2025-03-25 05:34:19,956 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0406 +[2025-03-25 05:34:19,995 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4412 +[2025-03-25 05:34:20,032 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0100 +[2025-03-25 05:34:20,066 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0709 +[2025-03-25 05:34:20,101 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2140 +[2025-03-25 05:34:20,130 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8495 +[2025-03-25 05:34:20,153 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8588 +[2025-03-25 05:34:20,188 INFO hook.py line 748 195048] Test: [59/78] Loss 0.6861 +[2025-03-25 05:34:20,216 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7202 +[2025-03-25 05:34:20,236 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7823 +[2025-03-25 05:34:20,266 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5467 +[2025-03-25 05:34:20,297 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2857 +[2025-03-25 05:34:20,348 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3042 +[2025-03-25 05:34:20,372 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1374 +[2025-03-25 05:34:20,409 INFO hook.py line 748 195048] Test: [66/78] Loss 0.5745 +[2025-03-25 05:34:20,444 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5807 +[2025-03-25 05:34:20,472 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0826 +[2025-03-25 05:34:20,498 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2645 +[2025-03-25 05:34:20,551 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1847 +[2025-03-25 05:34:20,588 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8674 +[2025-03-25 05:34:20,634 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7064 +[2025-03-25 05:34:20,677 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5617 +[2025-03-25 05:34:20,715 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8541 +[2025-03-25 05:34:20,761 INFO hook.py line 748 195048] Test: [75/78] Loss 0.4542 +[2025-03-25 05:34:20,786 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0552 +[2025-03-25 05:34:20,835 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5700 +[2025-03-25 05:34:20,859 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7193 +[2025-03-25 05:34:21,863 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:34:21,864 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:34:21,864 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] wall : 0.7977 0.9225 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] floor : 0.9557 0.9828 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] cabinet : 0.5550 0.6913 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] bed : 0.7152 0.7966 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] chair : 0.8747 0.9298 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] sofa : 0.8089 0.8936 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] table : 0.6412 0.7567 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] door : 0.5652 0.6983 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] window : 0.4160 0.4786 +[2025-03-25 05:34:21,864 INFO hook.py line 689 195048] bookshelf : 0.7188 0.8441 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] picture : 0.2186 0.3650 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] counter : 0.5635 0.6842 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] desk : 0.5597 0.7503 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] curtain : 0.6284 0.7109 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] refridgerator : 0.3630 0.3718 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] shower curtain : 0.5499 0.7271 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] toilet : 0.8869 0.9268 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] sink : 0.5654 0.6685 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] bathtub : 0.8122 0.8785 +[2025-03-25 05:34:21,865 INFO hook.py line 689 195048] otherfurniture : 0.4926 0.6673 +[2025-03-25 05:34:21,865 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:34:21,866 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6344/0.7372/0.8662. +[2025-03-25 05:34:21,866 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:34:21,880 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6344 +[2025-03-25 05:34:21,881 INFO misc.py line 164 195048] Currently Best mIoU: 0.6344 +[2025-03-25 05:34:21,881 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:34:35,822 INFO hook.py line 566 195048] Train: [39/100][50/400] Data 0.003 (0.003) Batch 0.199 (0.199) Remain 01:21:59 loss: 0.7740 Lr: 2.18703e-03 +[2025-03-25 05:34:45,994 INFO hook.py line 566 195048] Train: [39/100][100/400] Data 0.002 (0.003) Batch 0.189 (0.201) Remain 01:22:49 loss: 0.6561 Lr: 2.18151e-03 +[2025-03-25 05:34:55,792 INFO hook.py line 566 195048] Train: [39/100][150/400] Data 0.002 (0.003) Batch 0.196 (0.199) Remain 01:21:54 loss: 0.2809 Lr: 2.17598e-03 +[2025-03-25 05:35:05,619 INFO hook.py line 566 195048] Train: [39/100][200/400] Data 0.003 (0.003) Batch 0.187 (0.199) Remain 01:21:27 loss: 0.3070 Lr: 2.17044e-03 +[2025-03-25 05:35:15,613 INFO hook.py line 566 195048] Train: [39/100][250/400] Data 0.003 (0.003) Batch 0.209 (0.199) Remain 01:21:23 loss: 0.5889 Lr: 2.16489e-03 +[2025-03-25 05:35:25,469 INFO hook.py line 566 195048] Train: [39/100][300/400] Data 0.003 (0.003) Batch 0.215 (0.199) Remain 01:21:06 loss: 0.3978 Lr: 2.15932e-03 +[2025-03-25 05:35:35,458 INFO hook.py line 566 195048] Train: [39/100][350/400] Data 0.002 (0.003) Batch 0.204 (0.199) Remain 01:21:00 loss: 0.6886 Lr: 2.15375e-03 +[2025-03-25 05:35:44,378 INFO hook.py line 566 195048] Train: [39/100][400/400] Data 0.001 (0.003) Batch 0.143 (0.196) Remain 01:19:47 loss: 0.4579 Lr: 2.14816e-03 +[2025-03-25 05:35:44,379 INFO misc.py line 135 195048] Train result: loss: 0.5315 +[2025-03-25 05:35:44,479 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:35:54,936 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1863 +[2025-03-25 05:35:55,047 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8301 +[2025-03-25 05:35:55,085 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5854 +[2025-03-25 05:35:55,132 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5506 +[2025-03-25 05:35:55,168 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4786 +[2025-03-25 05:35:55,237 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5579 +[2025-03-25 05:35:55,287 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6023 +[2025-03-25 05:35:55,322 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3385 +[2025-03-25 05:35:55,365 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0845 +[2025-03-25 05:35:55,625 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9807 +[2025-03-25 05:35:55,753 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5345 +[2025-03-25 05:35:55,790 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9611 +[2025-03-25 05:35:55,833 INFO hook.py line 748 195048] Test: [13/78] Loss 2.0171 +[2025-03-25 05:35:55,867 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0094 +[2025-03-25 05:35:55,904 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7087 +[2025-03-25 05:35:55,945 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2545 +[2025-03-25 05:35:55,980 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5734 +[2025-03-25 05:35:56,011 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9472 +[2025-03-25 05:35:56,052 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9787 +[2025-03-25 05:35:56,082 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4088 +[2025-03-25 05:35:56,114 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3198 +[2025-03-25 05:35:56,152 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4110 +[2025-03-25 05:35:56,179 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7620 +[2025-03-25 05:35:56,219 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9160 +[2025-03-25 05:35:56,258 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9010 +[2025-03-25 05:35:56,295 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8784 +[2025-03-25 05:35:56,342 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2050 +[2025-03-25 05:35:56,372 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4508 +[2025-03-25 05:35:56,408 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3416 +[2025-03-25 05:35:56,459 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6580 +[2025-03-25 05:35:56,513 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5023 +[2025-03-25 05:35:56,544 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6842 +[2025-03-25 05:35:56,594 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3451 +[2025-03-25 05:35:56,631 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1072 +[2025-03-25 05:35:56,668 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4424 +[2025-03-25 05:35:56,712 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3481 +[2025-03-25 05:35:56,744 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5642 +[2025-03-25 05:35:56,775 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3233 +[2025-03-25 05:35:56,830 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5531 +[2025-03-25 05:35:56,872 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5062 +[2025-03-25 05:35:56,913 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9898 +[2025-03-25 05:35:56,941 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2131 +[2025-03-25 05:35:56,972 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2674 +[2025-03-25 05:35:57,023 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5888 +[2025-03-25 05:35:57,054 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4779 +[2025-03-25 05:35:57,095 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7268 +[2025-03-25 05:35:57,131 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8711 +[2025-03-25 05:35:57,162 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6044 +[2025-03-25 05:35:57,195 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6127 +[2025-03-25 05:35:57,235 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0949 +[2025-03-25 05:35:57,273 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8406 +[2025-03-25 05:35:57,307 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8998 +[2025-03-25 05:35:57,345 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6276 +[2025-03-25 05:35:57,384 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1477 +[2025-03-25 05:35:57,418 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0816 +[2025-03-25 05:35:57,456 INFO hook.py line 748 195048] Test: [56/78] Loss 0.4103 +[2025-03-25 05:35:57,486 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9397 +[2025-03-25 05:35:57,509 INFO hook.py line 748 195048] Test: [58/78] Loss 0.4508 +[2025-03-25 05:35:57,545 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8783 +[2025-03-25 05:35:57,573 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6739 +[2025-03-25 05:35:57,593 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6517 +[2025-03-25 05:35:57,623 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7405 +[2025-03-25 05:35:57,656 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2315 +[2025-03-25 05:35:57,706 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3336 +[2025-03-25 05:35:57,730 INFO hook.py line 748 195048] Test: [65/78] Loss 0.6493 +[2025-03-25 05:35:57,767 INFO hook.py line 748 195048] Test: [66/78] Loss 0.5962 +[2025-03-25 05:35:57,801 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3586 +[2025-03-25 05:35:57,830 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9877 +[2025-03-25 05:35:57,857 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2857 +[2025-03-25 05:35:57,910 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3050 +[2025-03-25 05:35:57,948 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0237 +[2025-03-25 05:35:57,994 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3985 +[2025-03-25 05:35:58,038 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4786 +[2025-03-25 05:35:58,075 INFO hook.py line 748 195048] Test: [74/78] Loss 1.9777 +[2025-03-25 05:35:58,121 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5882 +[2025-03-25 05:35:58,146 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9942 +[2025-03-25 05:35:58,195 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4919 +[2025-03-25 05:35:58,219 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6924 +[2025-03-25 05:35:59,190 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:35:59,190 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:35:59,190 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:35:59,190 INFO hook.py line 689 195048] wall : 0.7962 0.9209 +[2025-03-25 05:35:59,190 INFO hook.py line 689 195048] floor : 0.9560 0.9821 +[2025-03-25 05:35:59,190 INFO hook.py line 689 195048] cabinet : 0.5389 0.6732 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] bed : 0.7364 0.7862 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] chair : 0.8699 0.9332 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] sofa : 0.7770 0.9319 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] table : 0.6504 0.7445 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] door : 0.5450 0.6686 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] window : 0.4956 0.6065 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] bookshelf : 0.7102 0.8674 +[2025-03-25 05:35:59,191 INFO hook.py line 689 195048] picture : 0.2098 0.4149 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] counter : 0.5349 0.6841 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] desk : 0.5277 0.7454 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] curtain : 0.6109 0.8203 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] refridgerator : 0.4573 0.4717 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] shower curtain : 0.4424 0.4721 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] toilet : 0.8890 0.9235 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] sink : 0.5320 0.5755 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] bathtub : 0.8486 0.9072 +[2025-03-25 05:35:59,192 INFO hook.py line 689 195048] otherfurniture : 0.4569 0.5372 +[2025-03-25 05:35:59,192 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:35:59,192 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6293/0.7333/0.8646. +[2025-03-25 05:35:59,193 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:35:59,206 INFO misc.py line 164 195048] Currently Best mIoU: 0.6344 +[2025-03-25 05:35:59,207 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:36:12,351 INFO hook.py line 566 195048] Train: [40/100][50/400] Data 0.003 (0.004) Batch 0.192 (0.209) Remain 01:24:54 loss: 0.4302 Lr: 2.14257e-03 +[2025-03-25 05:36:22,390 INFO hook.py line 566 195048] Train: [40/100][100/400] Data 0.004 (0.004) Batch 0.222 (0.205) Remain 01:22:58 loss: 0.6813 Lr: 2.13696e-03 +[2025-03-25 05:36:32,396 INFO hook.py line 566 195048] Train: [40/100][150/400] Data 0.004 (0.004) Batch 0.196 (0.203) Remain 01:22:08 loss: 0.4046 Lr: 2.13134e-03 +[2025-03-25 05:36:42,333 INFO hook.py line 566 195048] Train: [40/100][200/400] Data 0.002 (0.003) Batch 0.203 (0.202) Remain 01:21:31 loss: 0.2918 Lr: 2.12571e-03 +[2025-03-25 05:36:52,421 INFO hook.py line 566 195048] Train: [40/100][250/400] Data 0.004 (0.003) Batch 0.210 (0.202) Remain 01:21:19 loss: 0.7429 Lr: 2.12007e-03 +[2025-03-25 05:37:02,499 INFO hook.py line 566 195048] Train: [40/100][300/400] Data 0.005 (0.003) Batch 0.209 (0.202) Remain 01:21:07 loss: 0.9107 Lr: 2.11442e-03 +[2025-03-25 05:37:12,386 INFO hook.py line 566 195048] Train: [40/100][350/400] Data 0.002 (0.003) Batch 0.174 (0.201) Remain 01:20:42 loss: 0.8793 Lr: 2.10876e-03 +[2025-03-25 05:37:21,401 INFO hook.py line 566 195048] Train: [40/100][400/400] Data 0.001 (0.003) Batch 0.148 (0.199) Remain 01:19:28 loss: 0.7329 Lr: 2.10309e-03 +[2025-03-25 05:37:21,402 INFO misc.py line 135 195048] Train result: loss: 0.5310 +[2025-03-25 05:37:21,487 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:37:31,855 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1939 +[2025-03-25 05:37:31,899 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5766 +[2025-03-25 05:37:32,154 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4965 +[2025-03-25 05:37:32,197 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6447 +[2025-03-25 05:37:32,447 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3677 +[2025-03-25 05:37:32,577 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7456 +[2025-03-25 05:37:32,638 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6002 +[2025-03-25 05:37:32,663 INFO hook.py line 748 195048] Test: [8/78] Loss 0.2826 +[2025-03-25 05:37:32,707 INFO hook.py line 748 195048] Test: [9/78] Loss 1.3207 +[2025-03-25 05:37:32,735 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8347 +[2025-03-25 05:37:32,952 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7009 +[2025-03-25 05:37:32,988 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0782 +[2025-03-25 05:37:33,031 INFO hook.py line 748 195048] Test: [13/78] Loss 1.4397 +[2025-03-25 05:37:33,065 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7276 +[2025-03-25 05:37:33,097 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9736 +[2025-03-25 05:37:33,139 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3512 +[2025-03-25 05:37:33,173 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5763 +[2025-03-25 05:37:33,206 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8031 +[2025-03-25 05:37:33,247 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0951 +[2025-03-25 05:37:33,288 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2161 +[2025-03-25 05:37:33,320 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3582 +[2025-03-25 05:37:33,355 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6176 +[2025-03-25 05:37:33,383 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9131 +[2025-03-25 05:37:33,425 INFO hook.py line 748 195048] Test: [24/78] Loss 1.2757 +[2025-03-25 05:37:33,463 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7221 +[2025-03-25 05:37:33,499 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6477 +[2025-03-25 05:37:33,544 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1556 +[2025-03-25 05:37:33,572 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4897 +[2025-03-25 05:37:33,597 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3159 +[2025-03-25 05:37:33,646 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6219 +[2025-03-25 05:37:33,702 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6125 +[2025-03-25 05:37:33,733 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8692 +[2025-03-25 05:37:33,781 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2319 +[2025-03-25 05:37:33,815 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2110 +[2025-03-25 05:37:33,851 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3102 +[2025-03-25 05:37:33,885 INFO hook.py line 748 195048] Test: [36/78] Loss 1.6059 +[2025-03-25 05:37:33,918 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5473 +[2025-03-25 05:37:33,945 INFO hook.py line 748 195048] Test: [38/78] Loss 0.5201 +[2025-03-25 05:37:33,999 INFO hook.py line 748 195048] Test: [39/78] Loss 1.8126 +[2025-03-25 05:37:34,042 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5784 +[2025-03-25 05:37:34,080 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2181 +[2025-03-25 05:37:34,109 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2689 +[2025-03-25 05:37:34,146 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2089 +[2025-03-25 05:37:34,198 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7370 +[2025-03-25 05:37:34,229 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6931 +[2025-03-25 05:37:34,270 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6644 +[2025-03-25 05:37:34,304 INFO hook.py line 748 195048] Test: [47/78] Loss 1.5659 +[2025-03-25 05:37:34,338 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6540 +[2025-03-25 05:37:34,369 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5407 +[2025-03-25 05:37:34,400 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9975 +[2025-03-25 05:37:34,429 INFO hook.py line 748 195048] Test: [51/78] Loss 0.6400 +[2025-03-25 05:37:34,467 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9674 +[2025-03-25 05:37:34,494 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3165 +[2025-03-25 05:37:34,537 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1743 +[2025-03-25 05:37:34,570 INFO hook.py line 748 195048] Test: [55/78] Loss 0.1147 +[2025-03-25 05:37:34,606 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2662 +[2025-03-25 05:37:34,635 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8447 +[2025-03-25 05:37:34,657 INFO hook.py line 748 195048] Test: [58/78] Loss 0.9216 +[2025-03-25 05:37:34,692 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9788 +[2025-03-25 05:37:34,720 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7438 +[2025-03-25 05:37:34,741 INFO hook.py line 748 195048] Test: [61/78] Loss 0.9673 +[2025-03-25 05:37:34,769 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6435 +[2025-03-25 05:37:34,801 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3278 +[2025-03-25 05:37:34,852 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4722 +[2025-03-25 05:37:34,885 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8201 +[2025-03-25 05:37:34,922 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6919 +[2025-03-25 05:37:34,956 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4636 +[2025-03-25 05:37:34,984 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2041 +[2025-03-25 05:37:35,010 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3421 +[2025-03-25 05:37:35,062 INFO hook.py line 748 195048] Test: [70/78] Loss 0.8498 +[2025-03-25 05:37:35,100 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0358 +[2025-03-25 05:37:35,146 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4820 +[2025-03-25 05:37:35,189 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5778 +[2025-03-25 05:37:35,226 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0597 +[2025-03-25 05:37:35,273 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6396 +[2025-03-25 05:37:35,297 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8873 +[2025-03-25 05:37:35,347 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3787 +[2025-03-25 05:37:35,369 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5439 +[2025-03-25 05:37:36,262 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:37:36,262 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:37:36,262 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] wall : 0.7936 0.8946 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] floor : 0.9530 0.9839 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] cabinet : 0.5123 0.7674 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] bed : 0.7474 0.7836 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] chair : 0.8613 0.9025 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] sofa : 0.7717 0.9119 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] table : 0.6529 0.7898 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] door : 0.5311 0.6591 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] window : 0.4848 0.6586 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] bookshelf : 0.7102 0.8108 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] picture : 0.1863 0.4201 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] counter : 0.4728 0.6951 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] desk : 0.4452 0.5134 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] curtain : 0.5444 0.7884 +[2025-03-25 05:37:36,262 INFO hook.py line 689 195048] refridgerator : 0.4988 0.5346 +[2025-03-25 05:37:36,263 INFO hook.py line 689 195048] shower curtain : 0.4765 0.5911 +[2025-03-25 05:37:36,263 INFO hook.py line 689 195048] toilet : 0.8902 0.9289 +[2025-03-25 05:37:36,263 INFO hook.py line 689 195048] sink : 0.5029 0.7320 +[2025-03-25 05:37:36,263 INFO hook.py line 689 195048] bathtub : 0.8694 0.8998 +[2025-03-25 05:37:36,263 INFO hook.py line 689 195048] otherfurniture : 0.4921 0.5820 +[2025-03-25 05:37:36,263 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:37:36,263 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6199/0.7424/0.8579. +[2025-03-25 05:37:36,263 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:37:36,274 INFO misc.py line 164 195048] Currently Best mIoU: 0.6344 +[2025-03-25 05:37:36,274 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:37:49,898 INFO hook.py line 566 195048] Train: [41/100][50/400] Data 0.003 (0.003) Batch 0.209 (0.201) Remain 01:20:17 loss: 0.5150 Lr: 2.09741e-03 +[2025-03-25 05:37:59,851 INFO hook.py line 566 195048] Train: [41/100][100/400] Data 0.002 (0.003) Batch 0.205 (0.200) Remain 01:19:41 loss: 0.4100 Lr: 2.09171e-03 +[2025-03-25 05:38:09,735 INFO hook.py line 566 195048] Train: [41/100][150/400] Data 0.003 (0.003) Batch 0.199 (0.199) Remain 01:19:12 loss: 0.4928 Lr: 2.08601e-03 +[2025-03-25 05:38:19,542 INFO hook.py line 566 195048] Train: [41/100][200/400] Data 0.003 (0.003) Batch 0.182 (0.198) Remain 01:18:43 loss: 1.0401 Lr: 2.08030e-03 +[2025-03-25 05:38:29,399 INFO hook.py line 566 195048] Train: [41/100][250/400] Data 0.003 (0.003) Batch 0.174 (0.198) Remain 01:18:27 loss: 0.3355 Lr: 2.07458e-03 +[2025-03-25 05:38:39,515 INFO hook.py line 566 195048] Train: [41/100][300/400] Data 0.002 (0.003) Batch 0.348 (0.199) Remain 01:18:33 loss: 0.4154 Lr: 2.06884e-03 +[2025-03-25 05:38:49,391 INFO hook.py line 566 195048] Train: [41/100][350/400] Data 0.004 (0.003) Batch 0.215 (0.199) Remain 01:18:19 loss: 0.6955 Lr: 2.06310e-03 +[2025-03-25 05:38:58,414 INFO hook.py line 566 195048] Train: [41/100][400/400] Data 0.001 (0.003) Batch 0.146 (0.196) Remain 01:17:15 loss: 0.3961 Lr: 2.05735e-03 +[2025-03-25 05:38:58,414 INFO misc.py line 135 195048] Train result: loss: 0.5196 +[2025-03-25 05:38:58,512 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:39:09,103 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1948 +[2025-03-25 05:39:09,145 INFO hook.py line 748 195048] Test: [2/78] Loss 1.0136 +[2025-03-25 05:39:09,189 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3247 +[2025-03-25 05:39:09,231 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4741 +[2025-03-25 05:39:09,734 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4030 +[2025-03-25 05:39:09,784 INFO hook.py line 748 195048] Test: [6/78] Loss 1.1400 +[2025-03-25 05:39:09,831 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7208 +[2025-03-25 05:39:09,855 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4693 +[2025-03-25 05:39:09,899 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9555 +[2025-03-25 05:39:09,928 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6230 +[2025-03-25 05:39:09,974 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5943 +[2025-03-25 05:39:10,006 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9369 +[2025-03-25 05:39:10,050 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6668 +[2025-03-25 05:39:10,084 INFO hook.py line 748 195048] Test: [14/78] Loss 1.9377 +[2025-03-25 05:39:10,116 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4489 +[2025-03-25 05:39:10,158 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2222 +[2025-03-25 05:39:10,193 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7491 +[2025-03-25 05:39:10,222 INFO hook.py line 748 195048] Test: [18/78] Loss 0.5972 +[2025-03-25 05:39:10,261 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1201 +[2025-03-25 05:39:10,290 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2671 +[2025-03-25 05:39:10,322 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2200 +[2025-03-25 05:39:10,359 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7576 +[2025-03-25 05:39:10,386 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0005 +[2025-03-25 05:39:10,426 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8163 +[2025-03-25 05:39:10,465 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7676 +[2025-03-25 05:39:10,503 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5765 +[2025-03-25 05:39:10,548 INFO hook.py line 748 195048] Test: [27/78] Loss 2.0040 +[2025-03-25 05:39:10,577 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5775 +[2025-03-25 05:39:10,602 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3215 +[2025-03-25 05:39:10,652 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4887 +[2025-03-25 05:39:10,706 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4960 +[2025-03-25 05:39:10,737 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8090 +[2025-03-25 05:39:10,785 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2155 +[2025-03-25 05:39:10,823 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1279 +[2025-03-25 05:39:10,859 INFO hook.py line 748 195048] Test: [35/78] Loss 0.2513 +[2025-03-25 05:39:10,891 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0047 +[2025-03-25 05:39:10,924 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4502 +[2025-03-25 05:39:10,954 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3942 +[2025-03-25 05:39:11,008 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3889 +[2025-03-25 05:39:11,050 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9662 +[2025-03-25 05:39:11,088 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1350 +[2025-03-25 05:39:11,120 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2098 +[2025-03-25 05:39:11,152 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2820 +[2025-03-25 05:39:11,204 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6399 +[2025-03-25 05:39:11,235 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6541 +[2025-03-25 05:39:11,282 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6511 +[2025-03-25 05:39:11,318 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0882 +[2025-03-25 05:39:11,349 INFO hook.py line 748 195048] Test: [48/78] Loss 0.4266 +[2025-03-25 05:39:11,382 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3997 +[2025-03-25 05:39:11,414 INFO hook.py line 748 195048] Test: [50/78] Loss 1.6002 +[2025-03-25 05:39:11,441 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0190 +[2025-03-25 05:39:11,476 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9835 +[2025-03-25 05:39:11,505 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2391 +[2025-03-25 05:39:11,544 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2525 +[2025-03-25 05:39:11,578 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0867 +[2025-03-25 05:39:11,614 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2011 +[2025-03-25 05:39:11,642 INFO hook.py line 748 195048] Test: [57/78] Loss 1.1662 +[2025-03-25 05:39:11,665 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7344 +[2025-03-25 05:39:11,701 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9001 +[2025-03-25 05:39:11,730 INFO hook.py line 748 195048] Test: [60/78] Loss 0.4606 +[2025-03-25 05:39:11,750 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7550 +[2025-03-25 05:39:11,778 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5218 +[2025-03-25 05:39:11,811 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4836 +[2025-03-25 05:39:11,861 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3517 +[2025-03-25 05:39:11,884 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1946 +[2025-03-25 05:39:11,921 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8715 +[2025-03-25 05:39:11,956 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4597 +[2025-03-25 05:39:11,984 INFO hook.py line 748 195048] Test: [68/78] Loss 1.3250 +[2025-03-25 05:39:12,011 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2386 +[2025-03-25 05:39:12,063 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3409 +[2025-03-25 05:39:12,101 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0983 +[2025-03-25 05:39:12,146 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5401 +[2025-03-25 05:39:12,190 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3274 +[2025-03-25 05:39:12,227 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0215 +[2025-03-25 05:39:12,273 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7448 +[2025-03-25 05:39:12,298 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0766 +[2025-03-25 05:39:12,348 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4565 +[2025-03-25 05:39:12,371 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8789 +[2025-03-25 05:39:13,265 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:39:13,265 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:39:13,265 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:39:13,265 INFO hook.py line 689 195048] wall : 0.8074 0.9391 +[2025-03-25 05:39:13,265 INFO hook.py line 689 195048] floor : 0.9563 0.9845 +[2025-03-25 05:39:13,265 INFO hook.py line 689 195048] cabinet : 0.5200 0.5736 +[2025-03-25 05:39:13,265 INFO hook.py line 689 195048] bed : 0.6863 0.7599 +[2025-03-25 05:39:13,265 INFO hook.py line 689 195048] chair : 0.8345 0.8939 +[2025-03-25 05:39:13,265 INFO hook.py line 689 195048] sofa : 0.6814 0.9408 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] table : 0.6533 0.7203 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] door : 0.5645 0.6586 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] window : 0.5002 0.6472 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] bookshelf : 0.7531 0.8417 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] picture : 0.2466 0.3558 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] counter : 0.5342 0.6582 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] desk : 0.5411 0.7055 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] curtain : 0.6736 0.7874 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] refridgerator : 0.4450 0.5052 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] shower curtain : 0.5737 0.6654 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] toilet : 0.8714 0.9435 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] sink : 0.5386 0.7313 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] bathtub : 0.7867 0.9168 +[2025-03-25 05:39:13,266 INFO hook.py line 689 195048] otherfurniture : 0.4828 0.6493 +[2025-03-25 05:39:13,266 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:39:13,266 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6325/0.7439/0.8667. +[2025-03-25 05:39:13,266 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:39:13,276 INFO misc.py line 164 195048] Currently Best mIoU: 0.6344 +[2025-03-25 05:39:13,276 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:39:27,370 INFO hook.py line 566 195048] Train: [42/100][50/400] Data 0.003 (0.003) Batch 0.181 (0.204) Remain 01:19:59 loss: 0.2756 Lr: 2.05159e-03 +[2025-03-25 05:39:37,469 INFO hook.py line 566 195048] Train: [42/100][100/400] Data 0.002 (0.003) Batch 0.186 (0.203) Remain 01:19:27 loss: 0.7059 Lr: 2.04582e-03 +[2025-03-25 05:39:47,398 INFO hook.py line 566 195048] Train: [42/100][150/400] Data 0.004 (0.003) Batch 0.191 (0.201) Remain 01:18:42 loss: 0.5201 Lr: 2.04004e-03 +[2025-03-25 05:39:57,459 INFO hook.py line 566 195048] Train: [42/100][200/400] Data 0.003 (0.003) Batch 0.207 (0.201) Remain 01:18:31 loss: 0.3687 Lr: 2.03425e-03 +[2025-03-25 05:40:07,397 INFO hook.py line 566 195048] Train: [42/100][250/400] Data 0.002 (0.003) Batch 0.231 (0.201) Remain 01:18:09 loss: 0.5031 Lr: 2.02845e-03 +[2025-03-25 05:40:17,192 INFO hook.py line 566 195048] Train: [42/100][300/400] Data 0.002 (0.003) Batch 0.204 (0.200) Remain 01:17:39 loss: 0.6127 Lr: 2.02265e-03 +[2025-03-25 05:40:27,208 INFO hook.py line 566 195048] Train: [42/100][350/400] Data 0.002 (0.003) Batch 0.200 (0.200) Remain 01:17:31 loss: 0.8167 Lr: 2.01695e-03 +[2025-03-25 05:40:36,296 INFO hook.py line 566 195048] Train: [42/100][400/400] Data 0.001 (0.003) Batch 0.150 (0.198) Remain 01:16:27 loss: 0.7056 Lr: 2.01112e-03 +[2025-03-25 05:40:36,297 INFO misc.py line 135 195048] Train result: loss: 0.5004 +[2025-03-25 05:40:36,388 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:40:46,627 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2671 +[2025-03-25 05:40:46,676 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6975 +[2025-03-25 05:40:46,926 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4023 +[2025-03-25 05:40:47,451 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5927 +[2025-03-25 05:40:47,487 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4667 +[2025-03-25 05:40:47,545 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6351 +[2025-03-25 05:40:47,592 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6328 +[2025-03-25 05:40:47,616 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3550 +[2025-03-25 05:40:47,661 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9220 +[2025-03-25 05:40:47,690 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0295 +[2025-03-25 05:40:47,731 INFO hook.py line 748 195048] Test: [11/78] Loss 0.4659 +[2025-03-25 05:40:47,761 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9976 +[2025-03-25 05:40:47,804 INFO hook.py line 748 195048] Test: [13/78] Loss 1.7012 +[2025-03-25 05:40:47,837 INFO hook.py line 748 195048] Test: [14/78] Loss 1.9567 +[2025-03-25 05:40:47,870 INFO hook.py line 748 195048] Test: [15/78] Loss 2.3774 +[2025-03-25 05:40:47,911 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2009 +[2025-03-25 05:40:47,947 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7743 +[2025-03-25 05:40:47,980 INFO hook.py line 748 195048] Test: [18/78] Loss 1.3594 +[2025-03-25 05:40:48,022 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0894 +[2025-03-25 05:40:48,050 INFO hook.py line 748 195048] Test: [20/78] Loss 0.5912 +[2025-03-25 05:40:48,083 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2883 +[2025-03-25 05:40:48,118 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4962 +[2025-03-25 05:40:48,143 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1451 +[2025-03-25 05:40:48,182 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9917 +[2025-03-25 05:40:48,221 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7804 +[2025-03-25 05:40:48,258 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7341 +[2025-03-25 05:40:48,304 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5336 +[2025-03-25 05:40:48,333 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4585 +[2025-03-25 05:40:48,358 INFO hook.py line 748 195048] Test: [29/78] Loss 0.4051 +[2025-03-25 05:40:48,408 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5287 +[2025-03-25 05:40:48,461 INFO hook.py line 748 195048] Test: [31/78] Loss 0.7028 +[2025-03-25 05:40:48,492 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7364 +[2025-03-25 05:40:48,540 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2465 +[2025-03-25 05:40:48,574 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1301 +[2025-03-25 05:40:48,611 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5468 +[2025-03-25 05:40:48,642 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1908 +[2025-03-25 05:40:48,675 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5929 +[2025-03-25 05:40:48,707 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4119 +[2025-03-25 05:40:48,762 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4491 +[2025-03-25 05:40:48,804 INFO hook.py line 748 195048] Test: [40/78] Loss 2.2058 +[2025-03-25 05:40:48,843 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9840 +[2025-03-25 05:40:48,867 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2046 +[2025-03-25 05:40:48,898 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4380 +[2025-03-25 05:40:48,949 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6943 +[2025-03-25 05:40:48,981 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5998 +[2025-03-25 05:40:49,023 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7970 +[2025-03-25 05:40:49,059 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9231 +[2025-03-25 05:40:49,091 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6375 +[2025-03-25 05:40:49,123 INFO hook.py line 748 195048] Test: [49/78] Loss 1.0850 +[2025-03-25 05:40:49,154 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1082 +[2025-03-25 05:40:49,182 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2747 +[2025-03-25 05:40:49,217 INFO hook.py line 748 195048] Test: [52/78] Loss 1.2646 +[2025-03-25 05:40:49,243 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5097 +[2025-03-25 05:40:49,279 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2159 +[2025-03-25 05:40:49,313 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0780 +[2025-03-25 05:40:49,349 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2045 +[2025-03-25 05:40:49,377 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7227 +[2025-03-25 05:40:49,400 INFO hook.py line 748 195048] Test: [58/78] Loss 0.9010 +[2025-03-25 05:40:49,434 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7420 +[2025-03-25 05:40:49,463 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6944 +[2025-03-25 05:40:49,483 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6362 +[2025-03-25 05:40:49,512 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6649 +[2025-03-25 05:40:49,544 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2277 +[2025-03-25 05:40:49,594 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5711 +[2025-03-25 05:40:49,618 INFO hook.py line 748 195048] Test: [65/78] Loss 1.6055 +[2025-03-25 05:40:49,655 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6054 +[2025-03-25 05:40:49,689 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6771 +[2025-03-25 05:40:49,718 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1101 +[2025-03-25 05:40:49,744 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4346 +[2025-03-25 05:40:49,796 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4297 +[2025-03-25 05:40:49,834 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2323 +[2025-03-25 05:40:49,879 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4537 +[2025-03-25 05:40:49,923 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7304 +[2025-03-25 05:40:49,961 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1166 +[2025-03-25 05:40:50,007 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7853 +[2025-03-25 05:40:50,032 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8007 +[2025-03-25 05:40:50,081 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6388 +[2025-03-25 05:40:50,104 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6271 +[2025-03-25 05:40:51,127 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:40:51,127 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:40:51,127 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] wall : 0.7933 0.9002 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] floor : 0.9579 0.9805 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] cabinet : 0.5042 0.7249 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] bed : 0.6722 0.7804 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] chair : 0.8717 0.9148 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] sofa : 0.7742 0.8467 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] table : 0.6330 0.7840 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] door : 0.5623 0.6773 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] window : 0.4610 0.7380 +[2025-03-25 05:40:51,128 INFO hook.py line 689 195048] bookshelf : 0.7594 0.8607 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] picture : 0.1748 0.1943 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] counter : 0.5042 0.6794 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] desk : 0.4870 0.6992 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] curtain : 0.5230 0.5622 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] refridgerator : 0.3878 0.4304 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] shower curtain : 0.4679 0.4923 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] toilet : 0.8518 0.9113 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] sink : 0.5441 0.6347 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] bathtub : 0.8444 0.8714 +[2025-03-25 05:40:51,129 INFO hook.py line 689 195048] otherfurniture : 0.4274 0.5556 +[2025-03-25 05:40:51,129 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:40:51,130 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6101/0.7119/0.8567. +[2025-03-25 05:40:51,130 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:40:51,139 INFO misc.py line 164 195048] Currently Best mIoU: 0.6344 +[2025-03-25 05:40:51,139 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:41:04,478 INFO hook.py line 566 195048] Train: [43/100][50/400] Data 0.003 (0.003) Batch 0.208 (0.211) Remain 01:21:16 loss: 0.5473 Lr: 2.00529e-03 +[2025-03-25 05:41:14,442 INFO hook.py line 566 195048] Train: [43/100][100/400] Data 0.002 (0.003) Batch 0.207 (0.205) Remain 01:18:50 loss: 0.5970 Lr: 1.99945e-03 +[2025-03-25 05:41:24,621 INFO hook.py line 566 195048] Train: [43/100][150/400] Data 0.002 (0.003) Batch 0.195 (0.204) Remain 01:18:31 loss: 0.3435 Lr: 1.99360e-03 +[2025-03-25 05:41:34,556 INFO hook.py line 566 195048] Train: [43/100][200/400] Data 0.003 (0.003) Batch 0.198 (0.203) Remain 01:17:47 loss: 0.7628 Lr: 1.98774e-03 +[2025-03-25 05:41:44,932 INFO hook.py line 566 195048] Train: [43/100][250/400] Data 0.003 (0.003) Batch 0.205 (0.204) Remain 01:17:58 loss: 0.4153 Lr: 1.98187e-03 +[2025-03-25 05:41:54,728 INFO hook.py line 566 195048] Train: [43/100][300/400] Data 0.002 (0.003) Batch 0.178 (0.203) Remain 01:17:17 loss: 0.8338 Lr: 1.97599e-03 +[2025-03-25 05:42:04,661 INFO hook.py line 566 195048] Train: [43/100][350/400] Data 0.002 (0.003) Batch 0.196 (0.202) Remain 01:16:55 loss: 0.6457 Lr: 1.97011e-03 +[2025-03-25 05:42:13,618 INFO hook.py line 566 195048] Train: [43/100][400/400] Data 0.001 (0.003) Batch 0.143 (0.199) Remain 01:15:39 loss: 0.3254 Lr: 1.96422e-03 +[2025-03-25 05:42:13,618 INFO misc.py line 135 195048] Train result: loss: 0.4976 +[2025-03-25 05:42:13,732 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:42:24,157 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2236 +[2025-03-25 05:42:24,203 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6861 +[2025-03-25 05:42:24,694 INFO hook.py line 748 195048] Test: [3/78] Loss 0.2786 +[2025-03-25 05:42:24,746 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5532 +[2025-03-25 05:42:24,786 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4084 +[2025-03-25 05:42:24,835 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6598 +[2025-03-25 05:42:24,883 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7223 +[2025-03-25 05:42:24,908 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4504 +[2025-03-25 05:42:24,950 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9120 +[2025-03-25 05:42:24,978 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0681 +[2025-03-25 05:42:25,020 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5802 +[2025-03-25 05:42:25,052 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0477 +[2025-03-25 05:42:25,095 INFO hook.py line 748 195048] Test: [13/78] Loss 2.2019 +[2025-03-25 05:42:25,129 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1181 +[2025-03-25 05:42:25,161 INFO hook.py line 748 195048] Test: [15/78] Loss 2.3220 +[2025-03-25 05:42:25,203 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2566 +[2025-03-25 05:42:25,238 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8124 +[2025-03-25 05:42:25,266 INFO hook.py line 748 195048] Test: [18/78] Loss 1.6663 +[2025-03-25 05:42:25,311 INFO hook.py line 748 195048] Test: [19/78] Loss 1.5449 +[2025-03-25 05:42:25,340 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0352 +[2025-03-25 05:42:25,372 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2355 +[2025-03-25 05:42:25,407 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4307 +[2025-03-25 05:42:25,432 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0148 +[2025-03-25 05:42:25,473 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9312 +[2025-03-25 05:42:25,513 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7611 +[2025-03-25 05:42:25,550 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6669 +[2025-03-25 05:42:25,597 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4124 +[2025-03-25 05:42:25,629 INFO hook.py line 748 195048] Test: [28/78] Loss 0.8755 +[2025-03-25 05:42:25,659 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2920 +[2025-03-25 05:42:25,709 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5536 +[2025-03-25 05:42:25,763 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5621 +[2025-03-25 05:42:25,794 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7201 +[2025-03-25 05:42:25,843 INFO hook.py line 748 195048] Test: [33/78] Loss 0.1975 +[2025-03-25 05:42:25,879 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0202 +[2025-03-25 05:42:25,913 INFO hook.py line 748 195048] Test: [35/78] Loss 0.2912 +[2025-03-25 05:42:25,947 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4976 +[2025-03-25 05:42:25,979 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5095 +[2025-03-25 05:42:26,008 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2672 +[2025-03-25 05:42:26,062 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5374 +[2025-03-25 05:42:26,106 INFO hook.py line 748 195048] Test: [40/78] Loss 2.1389 +[2025-03-25 05:42:26,144 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1146 +[2025-03-25 05:42:26,168 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1386 +[2025-03-25 05:42:26,202 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2415 +[2025-03-25 05:42:26,253 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5395 +[2025-03-25 05:42:26,284 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6371 +[2025-03-25 05:42:26,325 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7668 +[2025-03-25 05:42:26,362 INFO hook.py line 748 195048] Test: [47/78] Loss 1.5301 +[2025-03-25 05:42:26,393 INFO hook.py line 748 195048] Test: [48/78] Loss 0.4485 +[2025-03-25 05:42:26,425 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3966 +[2025-03-25 05:42:26,459 INFO hook.py line 748 195048] Test: [50/78] Loss 1.3027 +[2025-03-25 05:42:26,496 INFO hook.py line 748 195048] Test: [51/78] Loss 0.7412 +[2025-03-25 05:42:26,535 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0792 +[2025-03-25 05:42:26,568 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2359 +[2025-03-25 05:42:26,604 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3717 +[2025-03-25 05:42:26,642 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0730 +[2025-03-25 05:42:26,678 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2007 +[2025-03-25 05:42:26,706 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9845 +[2025-03-25 05:42:26,729 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7026 +[2025-03-25 05:42:26,765 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8347 +[2025-03-25 05:42:26,793 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6709 +[2025-03-25 05:42:26,813 INFO hook.py line 748 195048] Test: [61/78] Loss 1.4943 +[2025-03-25 05:42:26,841 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5238 +[2025-03-25 05:42:26,874 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4606 +[2025-03-25 05:42:26,924 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8214 +[2025-03-25 05:42:26,948 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0915 +[2025-03-25 05:42:26,985 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6877 +[2025-03-25 05:42:27,021 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5683 +[2025-03-25 05:42:27,050 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1065 +[2025-03-25 05:42:27,076 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3475 +[2025-03-25 05:42:27,128 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4408 +[2025-03-25 05:42:27,167 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9136 +[2025-03-25 05:42:27,212 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4203 +[2025-03-25 05:42:27,256 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5277 +[2025-03-25 05:42:27,294 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2058 +[2025-03-25 05:42:27,340 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5134 +[2025-03-25 05:42:27,366 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7906 +[2025-03-25 05:42:27,415 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4412 +[2025-03-25 05:42:27,438 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6790 +[2025-03-25 05:42:28,452 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:42:28,452 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:42:28,452 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:42:28,452 INFO hook.py line 689 195048] wall : 0.7907 0.9020 +[2025-03-25 05:42:28,452 INFO hook.py line 689 195048] floor : 0.9563 0.9820 +[2025-03-25 05:42:28,452 INFO hook.py line 689 195048] cabinet : 0.5323 0.6528 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] bed : 0.7135 0.7616 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] chair : 0.8555 0.9066 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] sofa : 0.7646 0.9034 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] table : 0.6542 0.8253 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] door : 0.5529 0.7116 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] window : 0.4978 0.6669 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] bookshelf : 0.7008 0.8753 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] picture : 0.2222 0.4437 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] counter : 0.4926 0.6954 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] desk : 0.4845 0.5702 +[2025-03-25 05:42:28,453 INFO hook.py line 689 195048] curtain : 0.6114 0.6740 +[2025-03-25 05:42:28,454 INFO hook.py line 689 195048] refridgerator : 0.3935 0.4147 +[2025-03-25 05:42:28,454 INFO hook.py line 689 195048] shower curtain : 0.6079 0.7303 +[2025-03-25 05:42:28,454 INFO hook.py line 689 195048] toilet : 0.9131 0.9392 +[2025-03-25 05:42:28,454 INFO hook.py line 689 195048] sink : 0.5679 0.7691 +[2025-03-25 05:42:28,454 INFO hook.py line 689 195048] bathtub : 0.8299 0.9139 +[2025-03-25 05:42:28,454 INFO hook.py line 689 195048] otherfurniture : 0.4808 0.6153 +[2025-03-25 05:42:28,454 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:42:28,454 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6311/0.7477/0.8612. +[2025-03-25 05:42:28,455 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:42:28,466 INFO misc.py line 164 195048] Currently Best mIoU: 0.6344 +[2025-03-25 05:42:28,466 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:42:41,512 INFO hook.py line 566 195048] Train: [44/100][50/400] Data 0.004 (0.003) Batch 0.197 (0.199) Remain 01:15:29 loss: 0.1300 Lr: 1.95832e-03 +[2025-03-25 05:42:51,405 INFO hook.py line 566 195048] Train: [44/100][100/400] Data 0.003 (0.003) Batch 0.207 (0.198) Remain 01:15:05 loss: 0.3228 Lr: 1.95241e-03 +[2025-03-25 05:43:01,488 INFO hook.py line 566 195048] Train: [44/100][150/400] Data 0.003 (0.003) Batch 0.205 (0.200) Remain 01:15:19 loss: 0.6448 Lr: 1.94650e-03 +[2025-03-25 05:43:11,540 INFO hook.py line 566 195048] Train: [44/100][200/400] Data 0.002 (0.003) Batch 0.211 (0.200) Remain 01:15:18 loss: 0.5097 Lr: 1.94057e-03 +[2025-03-25 05:43:21,566 INFO hook.py line 566 195048] Train: [44/100][250/400] Data 0.003 (0.003) Batch 0.189 (0.200) Remain 01:15:11 loss: 0.3444 Lr: 1.93464e-03 +[2025-03-25 05:43:31,338 INFO hook.py line 566 195048] Train: [44/100][300/400] Data 0.002 (0.003) Batch 0.189 (0.199) Remain 01:14:43 loss: 0.3000 Lr: 1.92871e-03 +[2025-03-25 05:43:41,371 INFO hook.py line 566 195048] Train: [44/100][350/400] Data 0.004 (0.003) Batch 0.204 (0.199) Remain 01:14:38 loss: 0.2199 Lr: 1.92276e-03 +[2025-03-25 05:43:50,360 INFO hook.py line 566 195048] Train: [44/100][400/400] Data 0.001 (0.003) Batch 0.156 (0.197) Remain 01:13:32 loss: 0.7475 Lr: 1.91681e-03 +[2025-03-25 05:43:50,361 INFO misc.py line 135 195048] Train result: loss: 0.4949 +[2025-03-25 05:43:50,444 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:44:01,170 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2170 +[2025-03-25 05:44:01,221 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5560 +[2025-03-25 05:44:01,816 INFO hook.py line 748 195048] Test: [3/78] Loss 0.2884 +[2025-03-25 05:44:01,857 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4624 +[2025-03-25 05:44:01,885 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5467 +[2025-03-25 05:44:01,937 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6619 +[2025-03-25 05:44:01,984 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5846 +[2025-03-25 05:44:02,008 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3163 +[2025-03-25 05:44:02,054 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1851 +[2025-03-25 05:44:02,094 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8343 +[2025-03-25 05:44:02,136 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5884 +[2025-03-25 05:44:02,166 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9268 +[2025-03-25 05:44:02,209 INFO hook.py line 748 195048] Test: [13/78] Loss 2.1027 +[2025-03-25 05:44:02,250 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0057 +[2025-03-25 05:44:02,282 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9333 +[2025-03-25 05:44:02,324 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1855 +[2025-03-25 05:44:02,360 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6180 +[2025-03-25 05:44:02,397 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9265 +[2025-03-25 05:44:02,438 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9273 +[2025-03-25 05:44:02,473 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0674 +[2025-03-25 05:44:02,511 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3733 +[2025-03-25 05:44:02,548 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4784 +[2025-03-25 05:44:02,584 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9086 +[2025-03-25 05:44:02,628 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8915 +[2025-03-25 05:44:02,664 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8002 +[2025-03-25 05:44:02,710 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7369 +[2025-03-25 05:44:02,755 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2586 +[2025-03-25 05:44:02,785 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4027 +[2025-03-25 05:44:02,812 INFO hook.py line 748 195048] Test: [29/78] Loss 0.5218 +[2025-03-25 05:44:02,860 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4707 +[2025-03-25 05:44:02,914 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4183 +[2025-03-25 05:44:02,954 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6644 +[2025-03-25 05:44:03,001 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2623 +[2025-03-25 05:44:03,037 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9694 +[2025-03-25 05:44:03,073 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3510 +[2025-03-25 05:44:03,107 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0650 +[2025-03-25 05:44:03,139 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4102 +[2025-03-25 05:44:03,169 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3578 +[2025-03-25 05:44:03,223 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5538 +[2025-03-25 05:44:03,268 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7409 +[2025-03-25 05:44:03,308 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0302 +[2025-03-25 05:44:03,331 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2391 +[2025-03-25 05:44:03,363 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4213 +[2025-03-25 05:44:03,417 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7357 +[2025-03-25 05:44:03,445 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5585 +[2025-03-25 05:44:03,487 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8779 +[2025-03-25 05:44:03,520 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9281 +[2025-03-25 05:44:03,554 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6001 +[2025-03-25 05:44:03,588 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2134 +[2025-03-25 05:44:03,632 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9526 +[2025-03-25 05:44:03,660 INFO hook.py line 748 195048] Test: [51/78] Loss 1.7394 +[2025-03-25 05:44:03,692 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9405 +[2025-03-25 05:44:03,728 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4807 +[2025-03-25 05:44:03,762 INFO hook.py line 748 195048] Test: [54/78] Loss 1.9993 +[2025-03-25 05:44:03,797 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0729 +[2025-03-25 05:44:03,832 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2429 +[2025-03-25 05:44:03,861 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7328 +[2025-03-25 05:44:03,885 INFO hook.py line 748 195048] Test: [58/78] Loss 0.9324 +[2025-03-25 05:44:03,919 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7151 +[2025-03-25 05:44:03,948 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5863 +[2025-03-25 05:44:03,968 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7092 +[2025-03-25 05:44:03,999 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5835 +[2025-03-25 05:44:04,031 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3940 +[2025-03-25 05:44:04,082 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2263 +[2025-03-25 05:44:04,107 INFO hook.py line 748 195048] Test: [65/78] Loss 1.7947 +[2025-03-25 05:44:04,143 INFO hook.py line 748 195048] Test: [66/78] Loss 0.5951 +[2025-03-25 05:44:04,178 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4736 +[2025-03-25 05:44:04,207 INFO hook.py line 748 195048] Test: [68/78] Loss 0.8613 +[2025-03-25 05:44:04,233 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3523 +[2025-03-25 05:44:04,286 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2081 +[2025-03-25 05:44:04,324 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0329 +[2025-03-25 05:44:04,369 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5002 +[2025-03-25 05:44:04,413 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5258 +[2025-03-25 05:44:04,450 INFO hook.py line 748 195048] Test: [74/78] Loss 1.9391 +[2025-03-25 05:44:04,496 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7419 +[2025-03-25 05:44:04,521 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7380 +[2025-03-25 05:44:04,571 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4036 +[2025-03-25 05:44:04,593 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7517 +[2025-03-25 05:44:05,546 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:44:05,546 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:44:05,546 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:44:05,546 INFO hook.py line 689 195048] wall : 0.7952 0.8817 +[2025-03-25 05:44:05,546 INFO hook.py line 689 195048] floor : 0.9546 0.9794 +[2025-03-25 05:44:05,546 INFO hook.py line 689 195048] cabinet : 0.5311 0.7203 +[2025-03-25 05:44:05,546 INFO hook.py line 689 195048] bed : 0.7439 0.8167 +[2025-03-25 05:44:05,546 INFO hook.py line 689 195048] chair : 0.8737 0.9297 +[2025-03-25 05:44:05,546 INFO hook.py line 689 195048] sofa : 0.8118 0.8979 +[2025-03-25 05:44:05,546 INFO hook.py line 689 195048] table : 0.6394 0.7163 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] door : 0.5559 0.7854 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] window : 0.4756 0.7554 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] bookshelf : 0.7325 0.8655 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] picture : 0.2635 0.4007 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] counter : 0.5041 0.6332 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] desk : 0.4849 0.8069 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] curtain : 0.5754 0.6411 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] refridgerator : 0.4537 0.5631 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] shower curtain : 0.6436 0.7151 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] toilet : 0.8468 0.9574 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] sink : 0.5669 0.6295 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] bathtub : 0.8832 0.9162 +[2025-03-25 05:44:05,547 INFO hook.py line 689 195048] otherfurniture : 0.4529 0.5194 +[2025-03-25 05:44:05,547 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:44:05,547 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6394/0.7565/0.8611. +[2025-03-25 05:44:05,548 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:44:05,561 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6394 +[2025-03-25 05:44:05,561 INFO misc.py line 164 195048] Currently Best mIoU: 0.6394 +[2025-03-25 05:44:05,561 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:44:19,249 INFO hook.py line 566 195048] Train: [45/100][50/400] Data 0.003 (0.003) Batch 0.212 (0.207) Remain 01:16:55 loss: 0.5235 Lr: 1.91085e-03 +[2025-03-25 05:44:29,194 INFO hook.py line 566 195048] Train: [45/100][100/400] Data 0.003 (0.003) Batch 0.199 (0.203) Remain 01:15:18 loss: 0.6045 Lr: 1.90488e-03 +[2025-03-25 05:44:39,283 INFO hook.py line 566 195048] Train: [45/100][150/400] Data 0.003 (0.003) Batch 0.211 (0.202) Remain 01:15:02 loss: 0.5204 Lr: 1.89891e-03 +[2025-03-25 05:44:49,260 INFO hook.py line 566 195048] Train: [45/100][200/400] Data 0.002 (0.003) Batch 0.186 (0.202) Remain 01:14:36 loss: 0.7835 Lr: 1.89293e-03 +[2025-03-25 05:44:59,191 INFO hook.py line 566 195048] Train: [45/100][250/400] Data 0.003 (0.003) Batch 0.200 (0.201) Remain 01:14:12 loss: 0.6975 Lr: 1.88694e-03 +[2025-03-25 05:45:09,252 INFO hook.py line 566 195048] Train: [45/100][300/400] Data 0.002 (0.003) Batch 0.207 (0.201) Remain 01:14:03 loss: 0.3443 Lr: 1.88095e-03 +[2025-03-25 05:45:19,273 INFO hook.py line 566 195048] Train: [45/100][350/400] Data 0.003 (0.003) Batch 0.205 (0.201) Remain 01:13:51 loss: 0.2626 Lr: 1.87495e-03 +[2025-03-25 05:45:28,398 INFO hook.py line 566 195048] Train: [45/100][400/400] Data 0.001 (0.003) Batch 0.141 (0.199) Remain 01:12:50 loss: 0.4093 Lr: 1.86894e-03 +[2025-03-25 05:45:28,399 INFO misc.py line 135 195048] Train result: loss: 0.4791 +[2025-03-25 05:45:28,491 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:45:38,774 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1904 +[2025-03-25 05:45:38,877 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6884 +[2025-03-25 05:45:39,473 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3792 +[2025-03-25 05:45:39,718 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6768 +[2025-03-25 05:45:39,747 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4290 +[2025-03-25 05:45:39,798 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6954 +[2025-03-25 05:45:39,845 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5300 +[2025-03-25 05:45:39,869 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4043 +[2025-03-25 05:45:39,912 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9611 +[2025-03-25 05:45:39,940 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8411 +[2025-03-25 05:45:40,114 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6649 +[2025-03-25 05:45:40,147 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1164 +[2025-03-25 05:45:40,190 INFO hook.py line 748 195048] Test: [13/78] Loss 1.7502 +[2025-03-25 05:45:40,233 INFO hook.py line 748 195048] Test: [14/78] Loss 1.6744 +[2025-03-25 05:45:40,266 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4812 +[2025-03-25 05:45:40,315 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3675 +[2025-03-25 05:45:40,351 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6677 +[2025-03-25 05:45:40,379 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8222 +[2025-03-25 05:45:40,420 INFO hook.py line 748 195048] Test: [19/78] Loss 1.3380 +[2025-03-25 05:45:40,450 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1631 +[2025-03-25 05:45:40,482 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3258 +[2025-03-25 05:45:40,518 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4519 +[2025-03-25 05:45:40,544 INFO hook.py line 748 195048] Test: [23/78] Loss 0.6951 +[2025-03-25 05:45:40,585 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1342 +[2025-03-25 05:45:40,623 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2758 +[2025-03-25 05:45:40,661 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6418 +[2025-03-25 05:45:40,707 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4244 +[2025-03-25 05:45:40,735 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4533 +[2025-03-25 05:45:40,761 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2599 +[2025-03-25 05:45:40,812 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4597 +[2025-03-25 05:45:40,869 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4448 +[2025-03-25 05:45:40,900 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8563 +[2025-03-25 05:45:40,950 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2387 +[2025-03-25 05:45:40,991 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0713 +[2025-03-25 05:45:41,025 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3483 +[2025-03-25 05:45:41,059 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1666 +[2025-03-25 05:45:41,091 INFO hook.py line 748 195048] Test: [37/78] Loss 0.3731 +[2025-03-25 05:45:41,120 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3811 +[2025-03-25 05:45:41,174 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5549 +[2025-03-25 05:45:41,216 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5265 +[2025-03-25 05:45:41,255 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1910 +[2025-03-25 05:45:41,278 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3489 +[2025-03-25 05:45:41,318 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3872 +[2025-03-25 05:45:41,369 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7788 +[2025-03-25 05:45:41,397 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7008 +[2025-03-25 05:45:41,438 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9606 +[2025-03-25 05:45:41,475 INFO hook.py line 748 195048] Test: [47/78] Loss 1.3171 +[2025-03-25 05:45:41,506 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6309 +[2025-03-25 05:45:41,538 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5243 +[2025-03-25 05:45:41,567 INFO hook.py line 748 195048] Test: [50/78] Loss 1.4605 +[2025-03-25 05:45:41,594 INFO hook.py line 748 195048] Test: [51/78] Loss 0.6493 +[2025-03-25 05:45:41,631 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1291 +[2025-03-25 05:45:41,666 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2578 +[2025-03-25 05:45:41,705 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0248 +[2025-03-25 05:45:41,740 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0739 +[2025-03-25 05:45:41,776 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2135 +[2025-03-25 05:45:41,804 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8532 +[2025-03-25 05:45:41,827 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6628 +[2025-03-25 05:45:41,863 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8900 +[2025-03-25 05:45:41,892 INFO hook.py line 748 195048] Test: [60/78] Loss 0.4493 +[2025-03-25 05:45:41,912 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7515 +[2025-03-25 05:45:41,941 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4615 +[2025-03-25 05:45:41,973 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3583 +[2025-03-25 05:45:42,024 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8484 +[2025-03-25 05:45:42,047 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2488 +[2025-03-25 05:45:42,084 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7079 +[2025-03-25 05:45:42,119 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4633 +[2025-03-25 05:45:42,148 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2887 +[2025-03-25 05:45:42,174 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3301 +[2025-03-25 05:45:42,226 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4287 +[2025-03-25 05:45:42,264 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9666 +[2025-03-25 05:45:42,310 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3299 +[2025-03-25 05:45:42,354 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5197 +[2025-03-25 05:45:42,391 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0764 +[2025-03-25 05:45:42,438 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8194 +[2025-03-25 05:45:42,464 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9582 +[2025-03-25 05:45:42,513 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5913 +[2025-03-25 05:45:42,536 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9256 +[2025-03-25 05:45:43,560 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:45:43,560 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:45:43,560 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] wall : 0.8007 0.8785 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] floor : 0.9514 0.9758 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] cabinet : 0.5147 0.6491 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] bed : 0.6705 0.8158 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] chair : 0.8762 0.9395 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] sofa : 0.7612 0.8973 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] table : 0.6562 0.7815 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] door : 0.5382 0.7334 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] window : 0.5111 0.7153 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] bookshelf : 0.6954 0.8100 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] picture : 0.2287 0.3457 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] counter : 0.5109 0.5673 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] desk : 0.5019 0.5918 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] curtain : 0.5460 0.8040 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] refridgerator : 0.4216 0.4756 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] shower curtain : 0.4632 0.6941 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] toilet : 0.8552 0.9376 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] sink : 0.5761 0.7047 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] bathtub : 0.8158 0.9056 +[2025-03-25 05:45:43,561 INFO hook.py line 689 195048] otherfurniture : 0.4566 0.6638 +[2025-03-25 05:45:43,561 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:45:43,561 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6176/0.7443/0.8584. +[2025-03-25 05:45:43,562 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:45:43,577 INFO misc.py line 164 195048] Currently Best mIoU: 0.6394 +[2025-03-25 05:45:43,577 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:45:56,577 INFO hook.py line 566 195048] Train: [46/100][50/400] Data 0.003 (0.005) Batch 0.182 (0.202) Remain 01:13:46 loss: 0.6640 Lr: 1.86293e-03 +[2025-03-25 05:46:06,497 INFO hook.py line 566 195048] Train: [46/100][100/400] Data 0.002 (0.004) Batch 0.201 (0.200) Remain 01:12:59 loss: 0.8945 Lr: 1.85691e-03 +[2025-03-25 05:46:16,520 INFO hook.py line 566 195048] Train: [46/100][150/400] Data 0.002 (0.004) Batch 0.209 (0.200) Remain 01:12:52 loss: 0.1599 Lr: 1.85089e-03 +[2025-03-25 05:46:26,536 INFO hook.py line 566 195048] Train: [46/100][200/400] Data 0.002 (0.004) Batch 0.185 (0.200) Remain 01:12:44 loss: 0.5098 Lr: 1.84485e-03 +[2025-03-25 05:46:36,690 INFO hook.py line 566 195048] Train: [46/100][250/400] Data 0.004 (0.003) Batch 0.200 (0.201) Remain 01:12:46 loss: 0.3696 Lr: 1.83882e-03 +[2025-03-25 05:46:46,711 INFO hook.py line 566 195048] Train: [46/100][300/400] Data 0.003 (0.003) Batch 0.205 (0.201) Remain 01:12:35 loss: 0.1478 Lr: 1.83278e-03 +[2025-03-25 05:46:56,654 INFO hook.py line 566 195048] Train: [46/100][350/400] Data 0.004 (0.003) Batch 0.191 (0.200) Remain 01:12:19 loss: 0.5966 Lr: 1.82673e-03 +[2025-03-25 05:47:05,687 INFO hook.py line 566 195048] Train: [46/100][400/400] Data 0.001 (0.003) Batch 0.143 (0.198) Remain 01:11:15 loss: 0.3961 Lr: 1.82067e-03 +[2025-03-25 05:47:05,688 INFO misc.py line 135 195048] Train result: loss: 0.4768 +[2025-03-25 05:47:05,764 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:47:16,276 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3816 +[2025-03-25 05:47:16,313 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7365 +[2025-03-25 05:47:16,350 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5176 +[2025-03-25 05:47:16,403 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5613 +[2025-03-25 05:47:16,446 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5325 +[2025-03-25 05:47:16,499 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4381 +[2025-03-25 05:47:16,748 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6573 +[2025-03-25 05:47:16,773 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3753 +[2025-03-25 05:47:16,818 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0364 +[2025-03-25 05:47:16,848 INFO hook.py line 748 195048] Test: [10/78] Loss 1.1012 +[2025-03-25 05:47:16,890 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7437 +[2025-03-25 05:47:16,920 INFO hook.py line 748 195048] Test: [12/78] Loss 0.8200 +[2025-03-25 05:47:16,963 INFO hook.py line 748 195048] Test: [13/78] Loss 2.3485 +[2025-03-25 05:47:16,997 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1925 +[2025-03-25 05:47:17,029 INFO hook.py line 748 195048] Test: [15/78] Loss 2.2018 +[2025-03-25 05:47:17,072 INFO hook.py line 748 195048] Test: [16/78] Loss 0.4807 +[2025-03-25 05:47:17,117 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6071 +[2025-03-25 05:47:17,154 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9865 +[2025-03-25 05:47:17,192 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4168 +[2025-03-25 05:47:17,220 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2801 +[2025-03-25 05:47:17,252 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3198 +[2025-03-25 05:47:17,288 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7607 +[2025-03-25 05:47:17,313 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8831 +[2025-03-25 05:47:17,352 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0069 +[2025-03-25 05:47:17,389 INFO hook.py line 748 195048] Test: [25/78] Loss 0.6081 +[2025-03-25 05:47:17,427 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8497 +[2025-03-25 05:47:17,472 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2752 +[2025-03-25 05:47:17,506 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4993 +[2025-03-25 05:47:17,538 INFO hook.py line 748 195048] Test: [29/78] Loss 0.4161 +[2025-03-25 05:47:17,587 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7071 +[2025-03-25 05:47:17,642 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6033 +[2025-03-25 05:47:17,672 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7803 +[2025-03-25 05:47:17,719 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3705 +[2025-03-25 05:47:17,756 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1688 +[2025-03-25 05:47:17,792 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3132 +[2025-03-25 05:47:17,825 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1707 +[2025-03-25 05:47:17,862 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6981 +[2025-03-25 05:47:17,893 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3909 +[2025-03-25 05:47:17,947 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6302 +[2025-03-25 05:47:17,989 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9455 +[2025-03-25 05:47:18,031 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0132 +[2025-03-25 05:47:18,056 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2283 +[2025-03-25 05:47:18,089 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4321 +[2025-03-25 05:47:18,145 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5617 +[2025-03-25 05:47:18,173 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6248 +[2025-03-25 05:47:18,215 INFO hook.py line 748 195048] Test: [46/78] Loss 1.0034 +[2025-03-25 05:47:18,249 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7266 +[2025-03-25 05:47:18,282 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7969 +[2025-03-25 05:47:18,317 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6463 +[2025-03-25 05:47:18,349 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1979 +[2025-03-25 05:47:18,377 INFO hook.py line 748 195048] Test: [51/78] Loss 0.7576 +[2025-03-25 05:47:18,411 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0426 +[2025-03-25 05:47:18,445 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4890 +[2025-03-25 05:47:18,481 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1884 +[2025-03-25 05:47:18,518 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0521 +[2025-03-25 05:47:18,554 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3040 +[2025-03-25 05:47:18,583 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0478 +[2025-03-25 05:47:18,607 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8128 +[2025-03-25 05:47:18,641 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9776 +[2025-03-25 05:47:18,670 INFO hook.py line 748 195048] Test: [60/78] Loss 1.2037 +[2025-03-25 05:47:18,689 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6450 +[2025-03-25 05:47:18,718 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6676 +[2025-03-25 05:47:18,750 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3927 +[2025-03-25 05:47:18,801 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6080 +[2025-03-25 05:47:18,824 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0610 +[2025-03-25 05:47:18,861 INFO hook.py line 748 195048] Test: [66/78] Loss 1.3095 +[2025-03-25 05:47:18,895 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5529 +[2025-03-25 05:47:18,924 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1958 +[2025-03-25 05:47:18,950 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2665 +[2025-03-25 05:47:19,002 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4361 +[2025-03-25 05:47:19,040 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1527 +[2025-03-25 05:47:19,086 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5162 +[2025-03-25 05:47:19,129 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4775 +[2025-03-25 05:47:19,167 INFO hook.py line 748 195048] Test: [74/78] Loss 1.9981 +[2025-03-25 05:47:19,213 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5979 +[2025-03-25 05:47:19,238 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1884 +[2025-03-25 05:47:19,288 INFO hook.py line 748 195048] Test: [77/78] Loss 0.2341 +[2025-03-25 05:47:19,311 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5542 +[2025-03-25 05:47:20,374 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:47:20,375 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:47:20,375 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:47:20,375 INFO hook.py line 689 195048] wall : 0.7988 0.9457 +[2025-03-25 05:47:20,375 INFO hook.py line 689 195048] floor : 0.9539 0.9841 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] cabinet : 0.5536 0.7248 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] bed : 0.7374 0.7934 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] chair : 0.8541 0.9053 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] sofa : 0.7454 0.7770 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] table : 0.6585 0.8086 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] door : 0.5564 0.6287 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] window : 0.3719 0.4269 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] bookshelf : 0.7429 0.8629 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] picture : 0.1461 0.1600 +[2025-03-25 05:47:20,376 INFO hook.py line 689 195048] counter : 0.5172 0.5898 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] desk : 0.5193 0.6519 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] curtain : 0.5009 0.8713 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] refridgerator : 0.3636 0.3757 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] shower curtain : 0.4700 0.5729 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] toilet : 0.8295 0.8614 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] sink : 0.5278 0.7216 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] bathtub : 0.8432 0.8838 +[2025-03-25 05:47:20,377 INFO hook.py line 689 195048] otherfurniture : 0.4781 0.5712 +[2025-03-25 05:47:20,377 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:47:20,377 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6084/0.7058/0.8624. +[2025-03-25 05:47:20,378 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:47:20,391 INFO misc.py line 164 195048] Currently Best mIoU: 0.6394 +[2025-03-25 05:47:20,391 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:47:33,824 INFO hook.py line 566 195048] Train: [47/100][50/400] Data 0.004 (0.003) Batch 0.196 (0.199) Remain 01:11:37 loss: 0.5689 Lr: 1.81461e-03 +[2025-03-25 05:47:43,795 INFO hook.py line 566 195048] Train: [47/100][100/400] Data 0.002 (0.003) Batch 0.202 (0.199) Remain 01:11:27 loss: 0.5745 Lr: 1.80855e-03 +[2025-03-25 05:47:53,654 INFO hook.py line 566 195048] Train: [47/100][150/400] Data 0.003 (0.003) Batch 0.184 (0.199) Remain 01:11:01 loss: 0.4741 Lr: 1.80248e-03 +[2025-03-25 05:48:03,757 INFO hook.py line 566 195048] Train: [47/100][200/400] Data 0.003 (0.003) Batch 0.203 (0.200) Remain 01:11:09 loss: 0.5682 Lr: 1.79640e-03 +[2025-03-25 05:48:13,671 INFO hook.py line 566 195048] Train: [47/100][250/400] Data 0.003 (0.003) Batch 0.184 (0.199) Remain 01:10:54 loss: 0.2048 Lr: 1.79032e-03 +[2025-03-25 05:48:23,598 INFO hook.py line 566 195048] Train: [47/100][300/400] Data 0.002 (0.003) Batch 0.198 (0.199) Remain 01:10:41 loss: 0.7025 Lr: 1.78424e-03 +[2025-03-25 05:48:33,622 INFO hook.py line 566 195048] Train: [47/100][350/400] Data 0.002 (0.003) Batch 0.199 (0.199) Remain 01:10:35 loss: 0.5636 Lr: 1.77815e-03 +[2025-03-25 05:48:43,014 INFO hook.py line 566 195048] Train: [47/100][400/400] Data 0.001 (0.003) Batch 0.141 (0.198) Remain 01:09:55 loss: 0.6207 Lr: 1.77205e-03 +[2025-03-25 05:48:43,015 INFO misc.py line 135 195048] Train result: loss: 0.4683 +[2025-03-25 05:48:43,101 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:48:53,486 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3870 +[2025-03-25 05:48:53,530 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5601 +[2025-03-25 05:48:54,218 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5547 +[2025-03-25 05:48:54,266 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4889 +[2025-03-25 05:48:54,301 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6076 +[2025-03-25 05:48:54,474 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5117 +[2025-03-25 05:48:54,520 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7124 +[2025-03-25 05:48:54,552 INFO hook.py line 748 195048] Test: [8/78] Loss 0.2740 +[2025-03-25 05:48:54,591 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9348 +[2025-03-25 05:48:54,623 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6390 +[2025-03-25 05:48:54,667 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6136 +[2025-03-25 05:48:54,697 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0463 +[2025-03-25 05:48:54,740 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5210 +[2025-03-25 05:48:54,776 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8894 +[2025-03-25 05:48:54,808 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6149 +[2025-03-25 05:48:54,850 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1351 +[2025-03-25 05:48:54,885 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6792 +[2025-03-25 05:48:54,914 INFO hook.py line 748 195048] Test: [18/78] Loss 0.6276 +[2025-03-25 05:48:54,955 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1136 +[2025-03-25 05:48:54,984 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2967 +[2025-03-25 05:48:55,016 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2210 +[2025-03-25 05:48:55,052 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7374 +[2025-03-25 05:48:55,077 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8201 +[2025-03-25 05:48:55,127 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7844 +[2025-03-25 05:48:55,163 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0050 +[2025-03-25 05:48:55,201 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7777 +[2025-03-25 05:48:55,246 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4415 +[2025-03-25 05:48:55,280 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3569 +[2025-03-25 05:48:55,304 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2650 +[2025-03-25 05:48:55,354 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5217 +[2025-03-25 05:48:55,410 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5977 +[2025-03-25 05:48:55,441 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7735 +[2025-03-25 05:48:55,488 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2240 +[2025-03-25 05:48:55,523 INFO hook.py line 748 195048] Test: [34/78] Loss 0.8488 +[2025-03-25 05:48:55,560 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3177 +[2025-03-25 05:48:55,597 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0576 +[2025-03-25 05:48:55,636 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5418 +[2025-03-25 05:48:55,664 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3340 +[2025-03-25 05:48:55,720 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4379 +[2025-03-25 05:48:55,761 INFO hook.py line 748 195048] Test: [40/78] Loss 1.4480 +[2025-03-25 05:48:55,805 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1570 +[2025-03-25 05:48:55,829 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3991 +[2025-03-25 05:48:55,860 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4410 +[2025-03-25 05:48:55,913 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6383 +[2025-03-25 05:48:55,944 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6342 +[2025-03-25 05:48:55,986 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8852 +[2025-03-25 05:48:56,021 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7344 +[2025-03-25 05:48:56,052 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5656 +[2025-03-25 05:48:56,085 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7425 +[2025-03-25 05:48:56,120 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9576 +[2025-03-25 05:48:56,147 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1860 +[2025-03-25 05:48:56,186 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8482 +[2025-03-25 05:48:56,211 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3011 +[2025-03-25 05:48:56,247 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0531 +[2025-03-25 05:48:56,284 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0759 +[2025-03-25 05:48:56,320 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2184 +[2025-03-25 05:48:56,349 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9457 +[2025-03-25 05:48:56,372 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8486 +[2025-03-25 05:48:56,407 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8159 +[2025-03-25 05:48:56,435 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9091 +[2025-03-25 05:48:56,455 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5807 +[2025-03-25 05:48:56,484 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6296 +[2025-03-25 05:48:56,516 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1243 +[2025-03-25 05:48:56,567 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2742 +[2025-03-25 05:48:56,590 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3078 +[2025-03-25 05:48:56,627 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7776 +[2025-03-25 05:48:56,661 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5073 +[2025-03-25 05:48:56,690 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9385 +[2025-03-25 05:48:56,716 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3267 +[2025-03-25 05:48:56,768 INFO hook.py line 748 195048] Test: [70/78] Loss 0.8873 +[2025-03-25 05:48:56,806 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2555 +[2025-03-25 05:48:56,851 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3703 +[2025-03-25 05:48:56,895 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7002 +[2025-03-25 05:48:56,932 INFO hook.py line 748 195048] Test: [74/78] Loss 1.9881 +[2025-03-25 05:48:56,978 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6082 +[2025-03-25 05:48:57,003 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8457 +[2025-03-25 05:48:57,052 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6167 +[2025-03-25 05:48:57,075 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7604 +[2025-03-25 05:48:58,106 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:48:58,107 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:48:58,107 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:48:58,107 INFO hook.py line 689 195048] wall : 0.8043 0.8977 +[2025-03-25 05:48:58,107 INFO hook.py line 689 195048] floor : 0.9540 0.9837 +[2025-03-25 05:48:58,108 INFO hook.py line 689 195048] cabinet : 0.5217 0.7225 +[2025-03-25 05:48:58,108 INFO hook.py line 689 195048] bed : 0.6758 0.8495 +[2025-03-25 05:48:58,108 INFO hook.py line 689 195048] chair : 0.8383 0.9332 +[2025-03-25 05:48:58,108 INFO hook.py line 689 195048] sofa : 0.7481 0.9090 +[2025-03-25 05:48:58,108 INFO hook.py line 689 195048] table : 0.6352 0.7062 +[2025-03-25 05:48:58,108 INFO hook.py line 689 195048] door : 0.5851 0.7461 +[2025-03-25 05:48:58,108 INFO hook.py line 689 195048] window : 0.4944 0.6274 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] bookshelf : 0.7023 0.7982 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] picture : 0.2062 0.2944 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] counter : 0.5055 0.5842 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] desk : 0.5417 0.7411 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] curtain : 0.6104 0.7937 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] refridgerator : 0.4481 0.4804 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] shower curtain : 0.5875 0.6871 +[2025-03-25 05:48:58,109 INFO hook.py line 689 195048] toilet : 0.8727 0.9371 +[2025-03-25 05:48:58,110 INFO hook.py line 689 195048] sink : 0.5661 0.6812 +[2025-03-25 05:48:58,110 INFO hook.py line 689 195048] bathtub : 0.8152 0.8864 +[2025-03-25 05:48:58,110 INFO hook.py line 689 195048] otherfurniture : 0.4817 0.5998 +[2025-03-25 05:48:58,110 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:48:58,110 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6297/0.7429/0.8635. +[2025-03-25 05:48:58,111 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:48:58,125 INFO misc.py line 164 195048] Currently Best mIoU: 0.6394 +[2025-03-25 05:48:58,125 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:49:12,062 INFO hook.py line 566 195048] Train: [48/100][50/400] Data 0.003 (0.003) Batch 0.191 (0.200) Remain 01:10:34 loss: 0.6626 Lr: 1.76595e-03 +[2025-03-25 05:49:22,008 INFO hook.py line 566 195048] Train: [48/100][100/400] Data 0.005 (0.003) Batch 0.213 (0.200) Remain 01:10:10 loss: 0.3500 Lr: 1.75985e-03 +[2025-03-25 05:49:31,850 INFO hook.py line 566 195048] Train: [48/100][150/400] Data 0.003 (0.003) Batch 0.216 (0.199) Remain 01:09:40 loss: 0.5451 Lr: 1.75374e-03 +[2025-03-25 05:49:41,792 INFO hook.py line 566 195048] Train: [48/100][200/400] Data 0.002 (0.003) Batch 0.201 (0.199) Remain 01:09:32 loss: 0.2166 Lr: 1.74763e-03 +[2025-03-25 05:49:51,970 INFO hook.py line 566 195048] Train: [48/100][250/400] Data 0.003 (0.003) Batch 0.199 (0.200) Remain 01:09:42 loss: 0.5637 Lr: 1.74151e-03 +[2025-03-25 05:50:01,829 INFO hook.py line 566 195048] Train: [48/100][300/400] Data 0.002 (0.003) Batch 0.195 (0.199) Remain 01:09:24 loss: 0.5218 Lr: 1.73539e-03 +[2025-03-25 05:50:11,766 INFO hook.py line 566 195048] Train: [48/100][350/400] Data 0.002 (0.003) Batch 0.199 (0.199) Remain 01:09:12 loss: 0.5346 Lr: 1.72927e-03 +[2025-03-25 05:50:20,734 INFO hook.py line 566 195048] Train: [48/100][400/400] Data 0.001 (0.003) Batch 0.153 (0.197) Remain 01:08:10 loss: 0.5341 Lr: 1.72314e-03 +[2025-03-25 05:50:20,735 INFO misc.py line 135 195048] Train result: loss: 0.4591 +[2025-03-25 05:50:20,831 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:50:30,972 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1822 +[2025-03-25 05:50:31,146 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6203 +[2025-03-25 05:50:31,182 INFO hook.py line 748 195048] Test: [3/78] Loss 0.6263 +[2025-03-25 05:50:31,454 INFO hook.py line 748 195048] Test: [4/78] Loss 0.7041 +[2025-03-25 05:50:31,496 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4537 +[2025-03-25 05:50:31,994 INFO hook.py line 748 195048] Test: [6/78] Loss 1.2010 +[2025-03-25 05:50:32,045 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6552 +[2025-03-25 05:50:32,071 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3870 +[2025-03-25 05:50:32,121 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0590 +[2025-03-25 05:50:32,158 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7490 +[2025-03-25 05:50:32,201 INFO hook.py line 748 195048] Test: [11/78] Loss 0.4943 +[2025-03-25 05:50:32,231 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3045 +[2025-03-25 05:50:32,274 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8365 +[2025-03-25 05:50:32,308 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7536 +[2025-03-25 05:50:32,341 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6469 +[2025-03-25 05:50:32,383 INFO hook.py line 748 195048] Test: [16/78] Loss 0.3786 +[2025-03-25 05:50:32,419 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6041 +[2025-03-25 05:50:32,448 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7751 +[2025-03-25 05:50:32,490 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0703 +[2025-03-25 05:50:32,518 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0783 +[2025-03-25 05:50:32,553 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2190 +[2025-03-25 05:50:32,590 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5591 +[2025-03-25 05:50:32,615 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8376 +[2025-03-25 05:50:32,654 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7018 +[2025-03-25 05:50:32,693 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8761 +[2025-03-25 05:50:32,730 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7287 +[2025-03-25 05:50:32,775 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3208 +[2025-03-25 05:50:32,808 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3875 +[2025-03-25 05:50:32,843 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2853 +[2025-03-25 05:50:32,893 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4794 +[2025-03-25 05:50:32,947 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6442 +[2025-03-25 05:50:32,979 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7100 +[2025-03-25 05:50:33,026 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2481 +[2025-03-25 05:50:33,062 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1362 +[2025-03-25 05:50:33,100 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3242 +[2025-03-25 05:50:33,135 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0553 +[2025-03-25 05:50:33,167 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5942 +[2025-03-25 05:50:33,193 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2967 +[2025-03-25 05:50:33,248 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5316 +[2025-03-25 05:50:33,289 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5895 +[2025-03-25 05:50:33,332 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1045 +[2025-03-25 05:50:33,356 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1700 +[2025-03-25 05:50:33,390 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2226 +[2025-03-25 05:50:33,442 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5082 +[2025-03-25 05:50:33,473 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7482 +[2025-03-25 05:50:33,516 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7024 +[2025-03-25 05:50:33,552 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7253 +[2025-03-25 05:50:33,586 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5881 +[2025-03-25 05:50:33,617 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7623 +[2025-03-25 05:50:33,651 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0757 +[2025-03-25 05:50:33,679 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8854 +[2025-03-25 05:50:33,716 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8261 +[2025-03-25 05:50:33,743 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3215 +[2025-03-25 05:50:33,780 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0634 +[2025-03-25 05:50:33,815 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0970 +[2025-03-25 05:50:33,851 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3114 +[2025-03-25 05:50:33,879 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8135 +[2025-03-25 05:50:33,902 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6496 +[2025-03-25 05:50:33,937 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7554 +[2025-03-25 05:50:33,966 INFO hook.py line 748 195048] Test: [60/78] Loss 0.8784 +[2025-03-25 05:50:33,985 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5894 +[2025-03-25 05:50:34,014 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5328 +[2025-03-25 05:50:34,046 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0433 +[2025-03-25 05:50:34,097 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2339 +[2025-03-25 05:50:34,120 INFO hook.py line 748 195048] Test: [65/78] Loss 1.1406 +[2025-03-25 05:50:34,157 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7280 +[2025-03-25 05:50:34,192 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4106 +[2025-03-25 05:50:34,220 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0425 +[2025-03-25 05:50:34,248 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3059 +[2025-03-25 05:50:34,300 INFO hook.py line 748 195048] Test: [70/78] Loss 0.9254 +[2025-03-25 05:50:34,337 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7513 +[2025-03-25 05:50:34,383 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4360 +[2025-03-25 05:50:34,426 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5827 +[2025-03-25 05:50:34,464 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0207 +[2025-03-25 05:50:34,510 INFO hook.py line 748 195048] Test: [75/78] Loss 0.4969 +[2025-03-25 05:50:34,535 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8740 +[2025-03-25 05:50:34,584 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5342 +[2025-03-25 05:50:34,607 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7757 +[2025-03-25 05:50:35,603 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:50:35,603 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:50:35,603 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] wall : 0.8154 0.9216 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] floor : 0.9560 0.9784 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] cabinet : 0.5527 0.7453 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] bed : 0.7802 0.8455 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] chair : 0.8425 0.8971 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] sofa : 0.7350 0.9347 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] table : 0.6577 0.8395 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] door : 0.5540 0.6994 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] window : 0.4922 0.5928 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] bookshelf : 0.7416 0.8813 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] picture : 0.2725 0.3860 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] counter : 0.4111 0.4475 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] desk : 0.5247 0.6336 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] curtain : 0.6678 0.7815 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] refridgerator : 0.4446 0.5265 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] shower curtain : 0.5436 0.6066 +[2025-03-25 05:50:35,603 INFO hook.py line 689 195048] toilet : 0.8763 0.9506 +[2025-03-25 05:50:35,604 INFO hook.py line 689 195048] sink : 0.5441 0.6759 +[2025-03-25 05:50:35,604 INFO hook.py line 689 195048] bathtub : 0.8410 0.8804 +[2025-03-25 05:50:35,604 INFO hook.py line 689 195048] otherfurniture : 0.4938 0.6051 +[2025-03-25 05:50:35,604 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:50:35,604 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6373/0.7415/0.8702. +[2025-03-25 05:50:35,604 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:50:35,616 INFO misc.py line 164 195048] Currently Best mIoU: 0.6394 +[2025-03-25 05:50:35,617 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:50:49,389 INFO hook.py line 566 195048] Train: [49/100][50/400] Data 0.003 (0.003) Batch 0.205 (0.200) Remain 01:09:00 loss: 0.5425 Lr: 1.71700e-03 +[2025-03-25 05:50:59,423 INFO hook.py line 566 195048] Train: [49/100][100/400] Data 0.002 (0.003) Batch 0.207 (0.200) Remain 01:09:02 loss: 0.5249 Lr: 1.71087e-03 +[2025-03-25 05:51:09,278 INFO hook.py line 566 195048] Train: [49/100][150/400] Data 0.003 (0.003) Batch 0.202 (0.199) Remain 01:08:31 loss: 0.2081 Lr: 1.70473e-03 +[2025-03-25 05:51:19,539 INFO hook.py line 566 195048] Train: [49/100][200/400] Data 0.002 (0.003) Batch 0.174 (0.201) Remain 01:08:53 loss: 0.3310 Lr: 1.69871e-03 +[2025-03-25 05:51:29,345 INFO hook.py line 566 195048] Train: [49/100][250/400] Data 0.002 (0.003) Batch 0.224 (0.200) Remain 01:08:24 loss: 0.3260 Lr: 1.69256e-03 +[2025-03-25 05:51:39,292 INFO hook.py line 566 195048] Train: [49/100][300/400] Data 0.003 (0.003) Batch 0.211 (0.200) Remain 01:08:11 loss: 0.4092 Lr: 1.68641e-03 +[2025-03-25 05:51:49,089 INFO hook.py line 566 195048] Train: [49/100][350/400] Data 0.004 (0.003) Batch 0.200 (0.199) Remain 01:07:50 loss: 0.3856 Lr: 1.68026e-03 +[2025-03-25 05:51:58,138 INFO hook.py line 566 195048] Train: [49/100][400/400] Data 0.001 (0.003) Batch 0.144 (0.197) Remain 01:06:54 loss: 0.2836 Lr: 1.67410e-03 +[2025-03-25 05:51:58,138 INFO misc.py line 135 195048] Train result: loss: 0.4612 +[2025-03-25 05:51:58,237 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:52:08,463 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1925 +[2025-03-25 05:52:08,725 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6275 +[2025-03-25 05:52:09,013 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4634 +[2025-03-25 05:52:09,059 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5513 +[2025-03-25 05:52:09,097 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3312 +[2025-03-25 05:52:09,247 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4416 +[2025-03-25 05:52:09,297 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6393 +[2025-03-25 05:52:09,323 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3221 +[2025-03-25 05:52:09,452 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9962 +[2025-03-25 05:52:09,487 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9844 +[2025-03-25 05:52:09,532 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5543 +[2025-03-25 05:52:09,561 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0723 +[2025-03-25 05:52:09,604 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8983 +[2025-03-25 05:52:09,639 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8738 +[2025-03-25 05:52:09,671 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6658 +[2025-03-25 05:52:09,712 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2536 +[2025-03-25 05:52:09,747 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6636 +[2025-03-25 05:52:09,780 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0658 +[2025-03-25 05:52:09,819 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1486 +[2025-03-25 05:52:09,847 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1294 +[2025-03-25 05:52:09,879 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3798 +[2025-03-25 05:52:09,916 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5380 +[2025-03-25 05:52:09,943 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0582 +[2025-03-25 05:52:09,982 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8919 +[2025-03-25 05:52:10,021 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8072 +[2025-03-25 05:52:10,059 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5380 +[2025-03-25 05:52:10,104 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6300 +[2025-03-25 05:52:10,133 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4102 +[2025-03-25 05:52:10,159 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2984 +[2025-03-25 05:52:10,209 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4357 +[2025-03-25 05:52:10,264 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4805 +[2025-03-25 05:52:10,298 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6135 +[2025-03-25 05:52:10,348 INFO hook.py line 748 195048] Test: [33/78] Loss 0.1836 +[2025-03-25 05:52:10,388 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9674 +[2025-03-25 05:52:10,435 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3087 +[2025-03-25 05:52:10,469 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9570 +[2025-03-25 05:52:10,501 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5463 +[2025-03-25 05:52:10,527 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2514 +[2025-03-25 05:52:10,581 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7502 +[2025-03-25 05:52:10,628 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6394 +[2025-03-25 05:52:10,667 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0740 +[2025-03-25 05:52:10,691 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3871 +[2025-03-25 05:52:10,723 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2256 +[2025-03-25 05:52:10,774 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6563 +[2025-03-25 05:52:10,809 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6686 +[2025-03-25 05:52:10,851 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7061 +[2025-03-25 05:52:10,885 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9127 +[2025-03-25 05:52:10,916 INFO hook.py line 748 195048] Test: [48/78] Loss 0.4967 +[2025-03-25 05:52:10,947 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2648 +[2025-03-25 05:52:10,981 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2679 +[2025-03-25 05:52:11,010 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8464 +[2025-03-25 05:52:11,042 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0225 +[2025-03-25 05:52:11,070 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3213 +[2025-03-25 05:52:11,107 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1696 +[2025-03-25 05:52:11,142 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0569 +[2025-03-25 05:52:11,177 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2398 +[2025-03-25 05:52:11,207 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7139 +[2025-03-25 05:52:11,230 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5867 +[2025-03-25 05:52:11,264 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8310 +[2025-03-25 05:52:11,293 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7050 +[2025-03-25 05:52:11,312 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6367 +[2025-03-25 05:52:11,341 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5357 +[2025-03-25 05:52:11,373 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0170 +[2025-03-25 05:52:11,424 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7405 +[2025-03-25 05:52:11,447 INFO hook.py line 748 195048] Test: [65/78] Loss 0.7861 +[2025-03-25 05:52:11,484 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6549 +[2025-03-25 05:52:11,519 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5627 +[2025-03-25 05:52:11,547 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9994 +[2025-03-25 05:52:11,574 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3349 +[2025-03-25 05:52:11,626 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3616 +[2025-03-25 05:52:11,664 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9825 +[2025-03-25 05:52:11,709 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4540 +[2025-03-25 05:52:11,753 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6390 +[2025-03-25 05:52:11,790 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8640 +[2025-03-25 05:52:11,836 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6149 +[2025-03-25 05:52:11,861 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7802 +[2025-03-25 05:52:11,910 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4206 +[2025-03-25 05:52:11,934 INFO hook.py line 748 195048] Test: [78/78] Loss 1.0172 +[2025-03-25 05:52:12,910 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:52:12,911 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:52:12,911 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] wall : 0.8147 0.9259 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] floor : 0.9557 0.9811 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] cabinet : 0.5622 0.7333 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] bed : 0.7464 0.8223 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] chair : 0.8595 0.9410 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] sofa : 0.7756 0.9051 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] table : 0.6666 0.7431 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] door : 0.5627 0.6939 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] window : 0.4995 0.6358 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] bookshelf : 0.7495 0.8635 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] picture : 0.2680 0.3579 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] counter : 0.5134 0.7260 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] desk : 0.5592 0.6918 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] curtain : 0.6529 0.7550 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] refridgerator : 0.4784 0.5300 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] shower curtain : 0.6292 0.7387 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] toilet : 0.8255 0.9476 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] sink : 0.5617 0.6516 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] bathtub : 0.7986 0.9142 +[2025-03-25 05:52:12,911 INFO hook.py line 689 195048] otherfurniture : 0.4860 0.5994 +[2025-03-25 05:52:12,911 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:52:12,911 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6483/0.7579/0.8732. +[2025-03-25 05:52:12,912 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:52:12,922 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6483 +[2025-03-25 05:52:12,923 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 05:52:12,923 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:52:26,721 INFO hook.py line 566 195048] Train: [50/100][50/400] Data 0.003 (0.003) Batch 0.198 (0.202) Remain 01:08:23 loss: 0.2685 Lr: 1.66794e-03 +[2025-03-25 05:52:36,557 INFO hook.py line 566 195048] Train: [50/100][100/400] Data 0.002 (0.003) Batch 0.220 (0.199) Remain 01:07:21 loss: 0.5934 Lr: 1.66178e-03 +[2025-03-25 05:52:46,379 INFO hook.py line 566 195048] Train: [50/100][150/400] Data 0.003 (0.003) Batch 0.197 (0.198) Remain 01:06:53 loss: 0.5971 Lr: 1.65561e-03 +[2025-03-25 05:52:56,357 INFO hook.py line 566 195048] Train: [50/100][200/400] Data 0.002 (0.003) Batch 0.194 (0.199) Remain 01:06:50 loss: 0.4172 Lr: 1.64944e-03 +[2025-03-25 05:53:06,238 INFO hook.py line 566 195048] Train: [50/100][250/400] Data 0.002 (0.003) Batch 0.194 (0.198) Remain 01:06:36 loss: 0.5671 Lr: 1.64327e-03 +[2025-03-25 05:53:16,240 INFO hook.py line 566 195048] Train: [50/100][300/400] Data 0.002 (0.003) Batch 0.187 (0.199) Remain 01:06:32 loss: 0.4731 Lr: 1.63710e-03 +[2025-03-25 05:53:26,186 INFO hook.py line 566 195048] Train: [50/100][350/400] Data 0.003 (0.003) Batch 0.177 (0.199) Remain 01:06:23 loss: 0.4155 Lr: 1.63093e-03 +[2025-03-25 05:53:35,388 INFO hook.py line 566 195048] Train: [50/100][400/400] Data 0.001 (0.003) Batch 0.140 (0.197) Remain 01:05:36 loss: 0.6993 Lr: 1.62475e-03 +[2025-03-25 05:53:35,388 INFO misc.py line 135 195048] Train result: loss: 0.4501 +[2025-03-25 05:53:35,479 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:53:45,778 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2470 +[2025-03-25 05:53:46,084 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7798 +[2025-03-25 05:53:46,125 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3774 +[2025-03-25 05:53:46,183 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5076 +[2025-03-25 05:53:46,281 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3556 +[2025-03-25 05:53:46,463 INFO hook.py line 748 195048] Test: [6/78] Loss 1.9227 +[2025-03-25 05:53:46,509 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6228 +[2025-03-25 05:53:46,534 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3172 +[2025-03-25 05:53:47,072 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1214 +[2025-03-25 05:53:47,106 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0210 +[2025-03-25 05:53:47,158 INFO hook.py line 748 195048] Test: [11/78] Loss 0.4130 +[2025-03-25 05:53:47,196 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1997 +[2025-03-25 05:53:47,247 INFO hook.py line 748 195048] Test: [13/78] Loss 2.3742 +[2025-03-25 05:53:47,281 INFO hook.py line 748 195048] Test: [14/78] Loss 1.6225 +[2025-03-25 05:53:47,315 INFO hook.py line 748 195048] Test: [15/78] Loss 2.2006 +[2025-03-25 05:53:47,356 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1644 +[2025-03-25 05:53:47,396 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5869 +[2025-03-25 05:53:47,429 INFO hook.py line 748 195048] Test: [18/78] Loss 1.1095 +[2025-03-25 05:53:47,469 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2105 +[2025-03-25 05:53:47,498 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0050 +[2025-03-25 05:53:47,529 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2771 +[2025-03-25 05:53:47,571 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5941 +[2025-03-25 05:53:47,600 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8981 +[2025-03-25 05:53:47,640 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0389 +[2025-03-25 05:53:47,680 INFO hook.py line 748 195048] Test: [25/78] Loss 0.6826 +[2025-03-25 05:53:47,717 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6811 +[2025-03-25 05:53:47,763 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4231 +[2025-03-25 05:53:47,794 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5192 +[2025-03-25 05:53:47,824 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2708 +[2025-03-25 05:53:47,875 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5524 +[2025-03-25 05:53:47,930 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4033 +[2025-03-25 05:53:47,961 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7131 +[2025-03-25 05:53:48,008 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3950 +[2025-03-25 05:53:48,045 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0721 +[2025-03-25 05:53:48,082 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5733 +[2025-03-25 05:53:48,113 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1907 +[2025-03-25 05:53:48,146 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4993 +[2025-03-25 05:53:48,176 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3063 +[2025-03-25 05:53:48,230 INFO hook.py line 748 195048] Test: [39/78] Loss 1.1844 +[2025-03-25 05:53:48,276 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6807 +[2025-03-25 05:53:48,323 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9817 +[2025-03-25 05:53:48,347 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4390 +[2025-03-25 05:53:48,384 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3230 +[2025-03-25 05:53:48,436 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5106 +[2025-03-25 05:53:48,473 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5585 +[2025-03-25 05:53:48,518 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6250 +[2025-03-25 05:53:48,554 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9215 +[2025-03-25 05:53:48,587 INFO hook.py line 748 195048] Test: [48/78] Loss 0.4922 +[2025-03-25 05:53:48,618 INFO hook.py line 748 195048] Test: [49/78] Loss 1.2593 +[2025-03-25 05:53:48,652 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1264 +[2025-03-25 05:53:48,678 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1189 +[2025-03-25 05:53:48,711 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9591 +[2025-03-25 05:53:48,745 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5689 +[2025-03-25 05:53:48,782 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5057 +[2025-03-25 05:53:48,819 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0684 +[2025-03-25 05:53:48,855 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3195 +[2025-03-25 05:53:48,884 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0941 +[2025-03-25 05:53:48,907 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6050 +[2025-03-25 05:53:48,942 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7326 +[2025-03-25 05:53:48,970 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6959 +[2025-03-25 05:53:48,989 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7489 +[2025-03-25 05:53:49,018 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6220 +[2025-03-25 05:53:49,050 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4192 +[2025-03-25 05:53:49,101 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4071 +[2025-03-25 05:53:49,125 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9815 +[2025-03-25 05:53:49,162 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9750 +[2025-03-25 05:53:49,197 INFO hook.py line 748 195048] Test: [67/78] Loss 0.2891 +[2025-03-25 05:53:49,226 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1914 +[2025-03-25 05:53:49,252 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2987 +[2025-03-25 05:53:49,304 INFO hook.py line 748 195048] Test: [70/78] Loss 0.7687 +[2025-03-25 05:53:49,342 INFO hook.py line 748 195048] Test: [71/78] Loss 1.3854 +[2025-03-25 05:53:49,387 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3627 +[2025-03-25 05:53:49,431 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6616 +[2025-03-25 05:53:49,468 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3318 +[2025-03-25 05:53:49,514 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6376 +[2025-03-25 05:53:49,538 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6321 +[2025-03-25 05:53:49,588 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4799 +[2025-03-25 05:53:49,611 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6196 +[2025-03-25 05:53:50,592 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:53:50,592 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:53:50,592 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:53:50,592 INFO hook.py line 689 195048] wall : 0.7919 0.8876 +[2025-03-25 05:53:50,592 INFO hook.py line 689 195048] floor : 0.9561 0.9812 +[2025-03-25 05:53:50,592 INFO hook.py line 689 195048] cabinet : 0.5593 0.6946 +[2025-03-25 05:53:50,592 INFO hook.py line 689 195048] bed : 0.7101 0.7851 +[2025-03-25 05:53:50,592 INFO hook.py line 689 195048] chair : 0.8502 0.9428 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] sofa : 0.8028 0.8861 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] table : 0.6758 0.8121 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] door : 0.5213 0.7211 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] window : 0.5055 0.7078 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] bookshelf : 0.6962 0.9181 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] picture : 0.2713 0.3332 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] counter : 0.4811 0.6668 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] desk : 0.5340 0.7156 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] curtain : 0.6501 0.8024 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] refridgerator : 0.4867 0.5841 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] shower curtain : 0.5671 0.7347 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] toilet : 0.8723 0.9250 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] sink : 0.5617 0.6987 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] bathtub : 0.8363 0.8572 +[2025-03-25 05:53:50,593 INFO hook.py line 689 195048] otherfurniture : 0.4184 0.4775 +[2025-03-25 05:53:50,593 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:53:50,594 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6374/0.7566/0.8626. +[2025-03-25 05:53:50,594 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:53:50,607 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 05:53:50,608 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:54:03,963 INFO hook.py line 566 195048] Train: [51/100][50/400] Data 0.003 (0.004) Batch 0.205 (0.203) Remain 01:07:31 loss: 0.4138 Lr: 1.61857e-03 +[2025-03-25 05:54:13,930 INFO hook.py line 566 195048] Train: [51/100][100/400] Data 0.003 (0.003) Batch 0.198 (0.201) Remain 01:06:42 loss: 0.5184 Lr: 1.61239e-03 +[2025-03-25 05:54:24,022 INFO hook.py line 566 195048] Train: [51/100][150/400] Data 0.003 (0.003) Batch 0.183 (0.201) Remain 01:06:37 loss: 0.2686 Lr: 1.60620e-03 +[2025-03-25 05:54:34,008 INFO hook.py line 566 195048] Train: [51/100][200/400] Data 0.002 (0.003) Batch 0.207 (0.201) Remain 01:06:18 loss: 0.5216 Lr: 1.60002e-03 +[2025-03-25 05:54:43,910 INFO hook.py line 566 195048] Train: [51/100][250/400] Data 0.002 (0.003) Batch 0.203 (0.200) Remain 01:05:57 loss: 0.2096 Lr: 1.59383e-03 +[2025-03-25 05:54:53,788 INFO hook.py line 566 195048] Train: [51/100][300/400] Data 0.003 (0.003) Batch 0.189 (0.200) Remain 01:05:37 loss: 0.4152 Lr: 1.58764e-03 +[2025-03-25 05:55:03,560 INFO hook.py line 566 195048] Train: [51/100][350/400] Data 0.003 (0.003) Batch 0.205 (0.199) Remain 01:05:15 loss: 0.5056 Lr: 1.58145e-03 +[2025-03-25 05:55:12,388 INFO hook.py line 566 195048] Train: [51/100][400/400] Data 0.001 (0.003) Batch 0.158 (0.196) Remain 01:04:09 loss: 0.5868 Lr: 1.57526e-03 +[2025-03-25 05:55:12,388 INFO misc.py line 135 195048] Train result: loss: 0.4319 +[2025-03-25 05:55:12,463 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:55:22,608 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1822 +[2025-03-25 05:55:22,761 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8068 +[2025-03-25 05:55:23,481 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4862 +[2025-03-25 05:55:23,530 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5188 +[2025-03-25 05:55:23,565 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4676 +[2025-03-25 05:55:23,613 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8336 +[2025-03-25 05:55:23,661 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6843 +[2025-03-25 05:55:23,685 INFO hook.py line 748 195048] Test: [8/78] Loss 0.6527 +[2025-03-25 05:55:23,730 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9049 +[2025-03-25 05:55:23,760 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7345 +[2025-03-25 05:55:23,802 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5328 +[2025-03-25 05:55:23,832 INFO hook.py line 748 195048] Test: [12/78] Loss 0.8545 +[2025-03-25 05:55:23,877 INFO hook.py line 748 195048] Test: [13/78] Loss 1.5218 +[2025-03-25 05:55:23,911 INFO hook.py line 748 195048] Test: [14/78] Loss 1.9823 +[2025-03-25 05:55:23,943 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7426 +[2025-03-25 05:55:23,985 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1761 +[2025-03-25 05:55:24,020 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5620 +[2025-03-25 05:55:24,050 INFO hook.py line 748 195048] Test: [18/78] Loss 0.6798 +[2025-03-25 05:55:24,092 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1511 +[2025-03-25 05:55:24,120 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2487 +[2025-03-25 05:55:24,153 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2926 +[2025-03-25 05:55:24,189 INFO hook.py line 748 195048] Test: [22/78] Loss 1.2984 +[2025-03-25 05:55:24,223 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0615 +[2025-03-25 05:55:24,263 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0262 +[2025-03-25 05:55:24,301 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9007 +[2025-03-25 05:55:24,339 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6746 +[2025-03-25 05:55:24,384 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1945 +[2025-03-25 05:55:24,414 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4848 +[2025-03-25 05:55:24,441 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3298 +[2025-03-25 05:55:24,492 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6204 +[2025-03-25 05:55:24,546 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4964 +[2025-03-25 05:55:24,578 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6265 +[2025-03-25 05:55:24,625 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2322 +[2025-03-25 05:55:24,669 INFO hook.py line 748 195048] Test: [34/78] Loss 0.9847 +[2025-03-25 05:55:24,702 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3684 +[2025-03-25 05:55:24,735 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0822 +[2025-03-25 05:55:24,768 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5765 +[2025-03-25 05:55:24,800 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2718 +[2025-03-25 05:55:24,857 INFO hook.py line 748 195048] Test: [39/78] Loss 1.9620 +[2025-03-25 05:55:24,900 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7816 +[2025-03-25 05:55:24,942 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0248 +[2025-03-25 05:55:24,967 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2760 +[2025-03-25 05:55:24,999 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2397 +[2025-03-25 05:55:25,051 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6733 +[2025-03-25 05:55:25,080 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6363 +[2025-03-25 05:55:25,127 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7305 +[2025-03-25 05:55:25,170 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9494 +[2025-03-25 05:55:25,201 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7074 +[2025-03-25 05:55:25,232 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3206 +[2025-03-25 05:55:25,264 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1067 +[2025-03-25 05:55:25,291 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1232 +[2025-03-25 05:55:25,325 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9166 +[2025-03-25 05:55:25,359 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3739 +[2025-03-25 05:55:25,395 INFO hook.py line 748 195048] Test: [54/78] Loss 1.8219 +[2025-03-25 05:55:25,429 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0789 +[2025-03-25 05:55:25,466 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2833 +[2025-03-25 05:55:25,496 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9843 +[2025-03-25 05:55:25,519 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6454 +[2025-03-25 05:55:25,554 INFO hook.py line 748 195048] Test: [59/78] Loss 0.6984 +[2025-03-25 05:55:25,582 INFO hook.py line 748 195048] Test: [60/78] Loss 0.8160 +[2025-03-25 05:55:25,602 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8520 +[2025-03-25 05:55:25,631 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5549 +[2025-03-25 05:55:25,663 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0140 +[2025-03-25 05:55:25,713 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8714 +[2025-03-25 05:55:25,736 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0920 +[2025-03-25 05:55:25,773 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9024 +[2025-03-25 05:55:25,808 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5411 +[2025-03-25 05:55:25,836 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0288 +[2025-03-25 05:55:25,862 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3137 +[2025-03-25 05:55:25,915 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3324 +[2025-03-25 05:55:25,952 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9864 +[2025-03-25 05:55:25,997 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5114 +[2025-03-25 05:55:26,041 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5344 +[2025-03-25 05:55:26,078 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8312 +[2025-03-25 05:55:26,124 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6555 +[2025-03-25 05:55:26,149 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7338 +[2025-03-25 05:55:26,199 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5736 +[2025-03-25 05:55:26,222 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8412 +[2025-03-25 05:55:27,155 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:55:27,155 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:55:27,155 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:55:27,155 INFO hook.py line 689 195048] wall : 0.8112 0.9014 +[2025-03-25 05:55:27,155 INFO hook.py line 689 195048] floor : 0.9503 0.9815 +[2025-03-25 05:55:27,155 INFO hook.py line 689 195048] cabinet : 0.5522 0.7008 +[2025-03-25 05:55:27,155 INFO hook.py line 689 195048] bed : 0.7151 0.8648 +[2025-03-25 05:55:27,155 INFO hook.py line 689 195048] chair : 0.8666 0.9392 +[2025-03-25 05:55:27,155 INFO hook.py line 689 195048] sofa : 0.7560 0.8590 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] table : 0.6310 0.7785 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] door : 0.5589 0.6762 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] window : 0.4910 0.6859 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] bookshelf : 0.7468 0.8128 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] picture : 0.2832 0.3861 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] counter : 0.5375 0.7793 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] desk : 0.5495 0.7099 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] curtain : 0.6400 0.7426 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] refridgerator : 0.4009 0.4640 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] shower curtain : 0.5449 0.8264 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] toilet : 0.8780 0.9159 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] sink : 0.5880 0.6651 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] bathtub : 0.7778 0.9223 +[2025-03-25 05:55:27,156 INFO hook.py line 689 195048] otherfurniture : 0.4947 0.6395 +[2025-03-25 05:55:27,156 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:55:27,156 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6387/0.7626/0.8678. +[2025-03-25 05:55:27,156 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:55:27,164 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 05:55:27,165 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:55:40,536 INFO hook.py line 566 195048] Train: [52/100][50/400] Data 0.003 (0.010) Batch 0.203 (0.204) Remain 01:06:30 loss: 0.2638 Lr: 1.56907e-03 +[2025-03-25 05:55:50,654 INFO hook.py line 566 195048] Train: [52/100][100/400] Data 0.002 (0.006) Batch 0.202 (0.203) Remain 01:06:02 loss: 0.3203 Lr: 1.56287e-03 +[2025-03-25 05:56:00,698 INFO hook.py line 566 195048] Train: [52/100][150/400] Data 0.002 (0.005) Batch 0.186 (0.202) Remain 01:05:36 loss: 0.2331 Lr: 1.55668e-03 +[2025-03-25 05:56:10,586 INFO hook.py line 566 195048] Train: [52/100][200/400] Data 0.004 (0.004) Batch 0.205 (0.201) Remain 01:05:03 loss: 0.4423 Lr: 1.55048e-03 +[2025-03-25 05:56:20,523 INFO hook.py line 566 195048] Train: [52/100][250/400] Data 0.003 (0.004) Batch 0.194 (0.201) Remain 01:04:44 loss: 0.8591 Lr: 1.54429e-03 +[2025-03-25 05:56:30,735 INFO hook.py line 566 195048] Train: [52/100][300/400] Data 0.002 (0.004) Batch 0.216 (0.201) Remain 01:04:45 loss: 0.3654 Lr: 1.53809e-03 +[2025-03-25 05:56:40,650 INFO hook.py line 566 195048] Train: [52/100][350/400] Data 0.002 (0.004) Batch 0.206 (0.201) Remain 01:04:26 loss: 0.3195 Lr: 1.53189e-03 +[2025-03-25 05:56:49,575 INFO hook.py line 566 195048] Train: [52/100][400/400] Data 0.001 (0.003) Batch 0.154 (0.198) Remain 01:03:22 loss: 0.4569 Lr: 1.52569e-03 +[2025-03-25 05:56:49,576 INFO misc.py line 135 195048] Train result: loss: 0.4316 +[2025-03-25 05:56:49,667 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:56:59,685 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3116 +[2025-03-25 05:57:00,344 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7945 +[2025-03-25 05:57:00,735 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4463 +[2025-03-25 05:57:00,793 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5515 +[2025-03-25 05:57:00,833 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3826 +[2025-03-25 05:57:00,988 INFO hook.py line 748 195048] Test: [6/78] Loss 1.9297 +[2025-03-25 05:57:01,038 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5454 +[2025-03-25 05:57:01,065 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4075 +[2025-03-25 05:57:01,105 INFO hook.py line 748 195048] Test: [9/78] Loss 0.8008 +[2025-03-25 05:57:01,139 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7562 +[2025-03-25 05:57:01,184 INFO hook.py line 748 195048] Test: [11/78] Loss 0.4990 +[2025-03-25 05:57:01,212 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0124 +[2025-03-25 05:57:01,255 INFO hook.py line 748 195048] Test: [13/78] Loss 2.0588 +[2025-03-25 05:57:01,290 INFO hook.py line 748 195048] Test: [14/78] Loss 1.7963 +[2025-03-25 05:57:01,322 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6580 +[2025-03-25 05:57:01,364 INFO hook.py line 748 195048] Test: [16/78] Loss 0.0974 +[2025-03-25 05:57:01,399 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6537 +[2025-03-25 05:57:01,433 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7291 +[2025-03-25 05:57:01,475 INFO hook.py line 748 195048] Test: [19/78] Loss 1.5624 +[2025-03-25 05:57:01,505 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3819 +[2025-03-25 05:57:01,536 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3331 +[2025-03-25 05:57:01,572 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5919 +[2025-03-25 05:57:01,597 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0944 +[2025-03-25 05:57:01,636 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0524 +[2025-03-25 05:57:01,673 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9337 +[2025-03-25 05:57:01,709 INFO hook.py line 748 195048] Test: [26/78] Loss 0.9739 +[2025-03-25 05:57:01,754 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5877 +[2025-03-25 05:57:01,783 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4574 +[2025-03-25 05:57:01,818 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3196 +[2025-03-25 05:57:01,870 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4734 +[2025-03-25 05:57:01,923 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4274 +[2025-03-25 05:57:01,954 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6441 +[2025-03-25 05:57:02,001 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2607 +[2025-03-25 05:57:02,038 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1748 +[2025-03-25 05:57:02,072 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5152 +[2025-03-25 05:57:02,104 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9780 +[2025-03-25 05:57:02,137 INFO hook.py line 748 195048] Test: [37/78] Loss 0.3897 +[2025-03-25 05:57:02,172 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4275 +[2025-03-25 05:57:02,226 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7995 +[2025-03-25 05:57:02,275 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9131 +[2025-03-25 05:57:02,313 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0522 +[2025-03-25 05:57:02,336 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1922 +[2025-03-25 05:57:02,379 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3153 +[2025-03-25 05:57:02,431 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6334 +[2025-03-25 05:57:02,460 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7508 +[2025-03-25 05:57:02,502 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9319 +[2025-03-25 05:57:02,536 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0392 +[2025-03-25 05:57:02,569 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7117 +[2025-03-25 05:57:02,604 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3719 +[2025-03-25 05:57:02,638 INFO hook.py line 748 195048] Test: [50/78] Loss 0.8964 +[2025-03-25 05:57:02,668 INFO hook.py line 748 195048] Test: [51/78] Loss 1.5372 +[2025-03-25 05:57:02,702 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1634 +[2025-03-25 05:57:02,727 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3887 +[2025-03-25 05:57:02,762 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4443 +[2025-03-25 05:57:02,799 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0705 +[2025-03-25 05:57:02,834 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2817 +[2025-03-25 05:57:02,863 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6914 +[2025-03-25 05:57:02,885 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7706 +[2025-03-25 05:57:02,920 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7691 +[2025-03-25 05:57:02,948 INFO hook.py line 748 195048] Test: [60/78] Loss 0.8670 +[2025-03-25 05:57:02,968 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6650 +[2025-03-25 05:57:02,997 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7310 +[2025-03-25 05:57:03,028 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3226 +[2025-03-25 05:57:03,079 INFO hook.py line 748 195048] Test: [64/78] Loss 1.1281 +[2025-03-25 05:57:03,102 INFO hook.py line 748 195048] Test: [65/78] Loss 1.5477 +[2025-03-25 05:57:03,138 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8273 +[2025-03-25 05:57:03,173 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3201 +[2025-03-25 05:57:03,201 INFO hook.py line 748 195048] Test: [68/78] Loss 0.7356 +[2025-03-25 05:57:03,227 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2934 +[2025-03-25 05:57:03,278 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2543 +[2025-03-25 05:57:03,316 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1132 +[2025-03-25 05:57:03,361 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4709 +[2025-03-25 05:57:03,405 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6856 +[2025-03-25 05:57:03,441 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3573 +[2025-03-25 05:57:03,487 INFO hook.py line 748 195048] Test: [75/78] Loss 0.5859 +[2025-03-25 05:57:03,512 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6571 +[2025-03-25 05:57:03,561 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7342 +[2025-03-25 05:57:03,584 INFO hook.py line 748 195048] Test: [78/78] Loss 1.0916 +[2025-03-25 05:57:04,674 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:57:04,674 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:57:04,675 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] wall : 0.7951 0.8747 +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] floor : 0.9559 0.9831 +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] cabinet : 0.5508 0.7440 +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] bed : 0.7482 0.8424 +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] chair : 0.8579 0.9414 +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] sofa : 0.7826 0.9264 +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] table : 0.6719 0.7505 +[2025-03-25 05:57:04,675 INFO hook.py line 689 195048] door : 0.5289 0.7277 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] window : 0.4898 0.7107 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] bookshelf : 0.6856 0.9041 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] picture : 0.2421 0.3442 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] counter : 0.5308 0.6803 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] desk : 0.5511 0.6965 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] curtain : 0.6154 0.7454 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] refridgerator : 0.4038 0.4373 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] shower curtain : 0.6383 0.7864 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] toilet : 0.8284 0.9561 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] sink : 0.5844 0.7011 +[2025-03-25 05:57:04,676 INFO hook.py line 689 195048] bathtub : 0.8486 0.9043 +[2025-03-25 05:57:04,677 INFO hook.py line 689 195048] otherfurniture : 0.4887 0.5880 +[2025-03-25 05:57:04,677 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:57:04,677 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6399/0.7622/0.8641. +[2025-03-25 05:57:04,678 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:57:04,698 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 05:57:04,698 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:57:18,133 INFO hook.py line 566 195048] Train: [53/100][50/400] Data 0.004 (0.004) Batch 0.199 (0.203) Remain 01:04:41 loss: 0.3168 Lr: 1.51949e-03 +[2025-03-25 05:57:27,973 INFO hook.py line 566 195048] Train: [53/100][100/400] Data 0.004 (0.004) Batch 0.186 (0.200) Remain 01:03:33 loss: 0.3361 Lr: 1.51329e-03 +[2025-03-25 05:57:38,064 INFO hook.py line 566 195048] Train: [53/100][150/400] Data 0.003 (0.003) Batch 0.186 (0.200) Remain 01:03:37 loss: 0.5234 Lr: 1.50709e-03 +[2025-03-25 05:57:47,828 INFO hook.py line 566 195048] Train: [53/100][200/400] Data 0.003 (0.003) Batch 0.185 (0.199) Remain 01:03:02 loss: 0.3561 Lr: 1.50089e-03 +[2025-03-25 05:57:57,665 INFO hook.py line 566 195048] Train: [53/100][250/400] Data 0.004 (0.003) Batch 0.199 (0.199) Remain 01:02:43 loss: 0.2295 Lr: 1.49469e-03 +[2025-03-25 05:58:07,623 INFO hook.py line 566 195048] Train: [53/100][300/400] Data 0.002 (0.003) Batch 0.221 (0.199) Remain 01:02:35 loss: 0.5326 Lr: 1.48849e-03 +[2025-03-25 05:58:17,589 INFO hook.py line 566 195048] Train: [53/100][350/400] Data 0.002 (0.003) Batch 0.202 (0.199) Remain 01:02:27 loss: 0.2907 Lr: 1.48229e-03 +[2025-03-25 05:58:26,742 INFO hook.py line 566 195048] Train: [53/100][400/400] Data 0.001 (0.003) Batch 0.144 (0.197) Remain 01:01:40 loss: 0.3278 Lr: 1.47610e-03 +[2025-03-25 05:58:26,742 INFO misc.py line 135 195048] Train result: loss: 0.4069 +[2025-03-25 05:58:26,832 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 05:58:37,505 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2135 +[2025-03-25 05:58:37,555 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5946 +[2025-03-25 05:58:37,591 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4957 +[2025-03-25 05:58:37,685 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4886 +[2025-03-25 05:58:37,752 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5215 +[2025-03-25 05:58:38,087 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6156 +[2025-03-25 05:58:38,134 INFO hook.py line 748 195048] Test: [7/78] Loss 0.8095 +[2025-03-25 05:58:38,167 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3446 +[2025-03-25 05:58:38,325 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9222 +[2025-03-25 05:58:38,359 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8403 +[2025-03-25 05:58:38,403 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5280 +[2025-03-25 05:58:38,434 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9653 +[2025-03-25 05:58:38,479 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4759 +[2025-03-25 05:58:38,514 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1035 +[2025-03-25 05:58:38,546 INFO hook.py line 748 195048] Test: [15/78] Loss 2.2293 +[2025-03-25 05:58:38,588 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1103 +[2025-03-25 05:58:38,624 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6723 +[2025-03-25 05:58:38,659 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9410 +[2025-03-25 05:58:38,698 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4174 +[2025-03-25 05:58:38,726 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2948 +[2025-03-25 05:58:38,758 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3300 +[2025-03-25 05:58:38,795 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4458 +[2025-03-25 05:58:38,821 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9695 +[2025-03-25 05:58:38,859 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7898 +[2025-03-25 05:58:38,902 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0783 +[2025-03-25 05:58:38,942 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6323 +[2025-03-25 05:58:38,989 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5944 +[2025-03-25 05:58:39,018 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3990 +[2025-03-25 05:58:39,044 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3362 +[2025-03-25 05:58:39,093 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5361 +[2025-03-25 05:58:39,147 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5530 +[2025-03-25 05:58:39,179 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6660 +[2025-03-25 05:58:39,232 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2185 +[2025-03-25 05:58:39,267 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2515 +[2025-03-25 05:58:39,301 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4836 +[2025-03-25 05:58:39,342 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1971 +[2025-03-25 05:58:39,374 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4856 +[2025-03-25 05:58:39,413 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3450 +[2025-03-25 05:58:39,467 INFO hook.py line 748 195048] Test: [39/78] Loss 1.1461 +[2025-03-25 05:58:39,511 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9575 +[2025-03-25 05:58:39,550 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9193 +[2025-03-25 05:58:39,575 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3772 +[2025-03-25 05:58:39,608 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2881 +[2025-03-25 05:58:39,659 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6035 +[2025-03-25 05:58:39,687 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7337 +[2025-03-25 05:58:39,729 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8685 +[2025-03-25 05:58:39,765 INFO hook.py line 748 195048] Test: [47/78] Loss 1.5895 +[2025-03-25 05:58:39,796 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6343 +[2025-03-25 05:58:39,836 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4530 +[2025-03-25 05:58:39,872 INFO hook.py line 748 195048] Test: [50/78] Loss 1.5666 +[2025-03-25 05:58:39,900 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1997 +[2025-03-25 05:58:39,932 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0428 +[2025-03-25 05:58:39,963 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5121 +[2025-03-25 05:58:39,998 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6099 +[2025-03-25 05:58:40,031 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0587 +[2025-03-25 05:58:40,066 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3195 +[2025-03-25 05:58:40,094 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8871 +[2025-03-25 05:58:40,116 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6873 +[2025-03-25 05:58:40,151 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8219 +[2025-03-25 05:58:40,179 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7738 +[2025-03-25 05:58:40,199 INFO hook.py line 748 195048] Test: [61/78] Loss 0.9316 +[2025-03-25 05:58:40,228 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5318 +[2025-03-25 05:58:40,260 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3072 +[2025-03-25 05:58:40,310 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7555 +[2025-03-25 05:58:40,333 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0826 +[2025-03-25 05:58:40,370 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8018 +[2025-03-25 05:58:40,404 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3891 +[2025-03-25 05:58:40,432 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2776 +[2025-03-25 05:58:40,458 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3158 +[2025-03-25 05:58:40,509 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5074 +[2025-03-25 05:58:40,547 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1307 +[2025-03-25 05:58:40,592 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4861 +[2025-03-25 05:58:40,636 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7087 +[2025-03-25 05:58:40,674 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3324 +[2025-03-25 05:58:40,719 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6472 +[2025-03-25 05:58:40,744 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7486 +[2025-03-25 05:58:40,793 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4830 +[2025-03-25 05:58:40,816 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9352 +[2025-03-25 05:58:41,693 INFO hook.py line 674 195048] ######################################## +[2025-03-25 05:58:41,693 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 05:58:41,693 INFO hook.py line 680 195048] ######################################## +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] wall : 0.8067 0.9182 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] floor : 0.9548 0.9732 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] cabinet : 0.5527 0.6885 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] bed : 0.6723 0.7804 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] chair : 0.8347 0.9357 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] sofa : 0.7408 0.9284 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] table : 0.6196 0.7715 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] door : 0.5533 0.6997 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] window : 0.4894 0.6305 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] bookshelf : 0.7628 0.8586 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] picture : 0.2316 0.2841 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] counter : 0.4817 0.6596 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] desk : 0.5081 0.7177 +[2025-03-25 05:58:41,693 INFO hook.py line 689 195048] curtain : 0.6631 0.7898 +[2025-03-25 05:58:41,694 INFO hook.py line 689 195048] refridgerator : 0.3600 0.3724 +[2025-03-25 05:58:41,694 INFO hook.py line 689 195048] shower curtain : 0.5367 0.6596 +[2025-03-25 05:58:41,694 INFO hook.py line 689 195048] toilet : 0.8635 0.9183 +[2025-03-25 05:58:41,694 INFO hook.py line 689 195048] sink : 0.5315 0.7424 +[2025-03-25 05:58:41,694 INFO hook.py line 689 195048] bathtub : 0.7995 0.9013 +[2025-03-25 05:58:41,694 INFO hook.py line 689 195048] otherfurniture : 0.4677 0.5519 +[2025-03-25 05:58:41,694 INFO hook.py line 690 195048] ######################################## +[2025-03-25 05:58:41,694 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6215/0.7391/0.8641. +[2025-03-25 05:58:41,694 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 05:58:41,706 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 05:58:41,706 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 05:58:55,300 INFO hook.py line 566 195048] Train: [54/100][50/400] Data 0.004 (0.003) Batch 0.201 (0.201) Remain 01:02:51 loss: 0.5465 Lr: 1.46990e-03 +[2025-03-25 05:59:05,008 INFO hook.py line 566 195048] Train: [54/100][100/400] Data 0.002 (0.003) Batch 0.209 (0.198) Remain 01:01:34 loss: 0.3957 Lr: 1.46370e-03 +[2025-03-25 05:59:15,016 INFO hook.py line 566 195048] Train: [54/100][150/400] Data 0.003 (0.003) Batch 0.199 (0.198) Remain 01:01:40 loss: 0.1768 Lr: 1.45750e-03 +[2025-03-25 05:59:24,827 INFO hook.py line 566 195048] Train: [54/100][200/400] Data 0.002 (0.003) Batch 0.198 (0.198) Remain 01:01:20 loss: 0.2767 Lr: 1.45130e-03 +[2025-03-25 05:59:34,812 INFO hook.py line 566 195048] Train: [54/100][250/400] Data 0.003 (0.003) Batch 0.197 (0.198) Remain 01:01:17 loss: 0.5633 Lr: 1.44511e-03 +[2025-03-25 05:59:44,677 INFO hook.py line 566 195048] Train: [54/100][300/400] Data 0.002 (0.003) Batch 0.189 (0.198) Remain 01:01:04 loss: 0.6431 Lr: 1.43891e-03 +[2025-03-25 05:59:54,632 INFO hook.py line 566 195048] Train: [54/100][350/400] Data 0.002 (0.003) Batch 0.193 (0.198) Remain 01:00:57 loss: 0.2562 Lr: 1.43272e-03 +[2025-03-25 06:00:03,582 INFO hook.py line 566 195048] Train: [54/100][400/400] Data 0.001 (0.003) Batch 0.150 (0.196) Remain 01:00:02 loss: 0.3283 Lr: 1.42652e-03 +[2025-03-25 06:00:03,582 INFO misc.py line 135 195048] Train result: loss: 0.4019 +[2025-03-25 06:00:03,673 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:00:13,992 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2762 +[2025-03-25 06:00:14,039 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6826 +[2025-03-25 06:00:14,236 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4803 +[2025-03-25 06:00:14,282 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5359 +[2025-03-25 06:00:14,312 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3993 +[2025-03-25 06:00:14,376 INFO hook.py line 748 195048] Test: [6/78] Loss 1.1929 +[2025-03-25 06:00:14,753 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5021 +[2025-03-25 06:00:14,958 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3430 +[2025-03-25 06:00:15,003 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9976 +[2025-03-25 06:00:15,032 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7645 +[2025-03-25 06:00:15,081 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7373 +[2025-03-25 06:00:15,111 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0865 +[2025-03-25 06:00:15,156 INFO hook.py line 748 195048] Test: [13/78] Loss 2.3897 +[2025-03-25 06:00:15,190 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0696 +[2025-03-25 06:00:15,222 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7776 +[2025-03-25 06:00:15,264 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1780 +[2025-03-25 06:00:15,299 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7127 +[2025-03-25 06:00:15,328 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7426 +[2025-03-25 06:00:15,368 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0659 +[2025-03-25 06:00:15,396 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2783 +[2025-03-25 06:00:15,428 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2916 +[2025-03-25 06:00:15,465 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6972 +[2025-03-25 06:00:15,497 INFO hook.py line 748 195048] Test: [23/78] Loss 1.1992 +[2025-03-25 06:00:15,536 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9388 +[2025-03-25 06:00:15,573 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9647 +[2025-03-25 06:00:15,611 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5496 +[2025-03-25 06:00:15,660 INFO hook.py line 748 195048] Test: [27/78] Loss 2.0148 +[2025-03-25 06:00:15,689 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5442 +[2025-03-25 06:00:15,716 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3067 +[2025-03-25 06:00:15,767 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5500 +[2025-03-25 06:00:15,821 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6129 +[2025-03-25 06:00:15,852 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7385 +[2025-03-25 06:00:15,899 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2558 +[2025-03-25 06:00:15,934 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2066 +[2025-03-25 06:00:15,981 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3972 +[2025-03-25 06:00:16,019 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0354 +[2025-03-25 06:00:16,051 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5321 +[2025-03-25 06:00:16,080 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3998 +[2025-03-25 06:00:16,137 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3465 +[2025-03-25 06:00:16,184 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9011 +[2025-03-25 06:00:16,221 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0209 +[2025-03-25 06:00:16,244 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2149 +[2025-03-25 06:00:16,277 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3291 +[2025-03-25 06:00:16,331 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5520 +[2025-03-25 06:00:16,368 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7380 +[2025-03-25 06:00:16,412 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9786 +[2025-03-25 06:00:16,453 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0298 +[2025-03-25 06:00:16,484 INFO hook.py line 748 195048] Test: [48/78] Loss 0.9179 +[2025-03-25 06:00:16,514 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7476 +[2025-03-25 06:00:16,548 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0899 +[2025-03-25 06:00:16,582 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0190 +[2025-03-25 06:00:16,616 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0792 +[2025-03-25 06:00:16,641 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3351 +[2025-03-25 06:00:16,674 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0921 +[2025-03-25 06:00:16,709 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0762 +[2025-03-25 06:00:16,745 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3185 +[2025-03-25 06:00:16,773 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8756 +[2025-03-25 06:00:16,797 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5327 +[2025-03-25 06:00:16,832 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8246 +[2025-03-25 06:00:16,860 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5847 +[2025-03-25 06:00:16,880 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8195 +[2025-03-25 06:00:16,909 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5188 +[2025-03-25 06:00:16,941 INFO hook.py line 748 195048] Test: [63/78] Loss 0.9116 +[2025-03-25 06:00:16,991 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4099 +[2025-03-25 06:00:17,014 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8343 +[2025-03-25 06:00:17,051 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9858 +[2025-03-25 06:00:17,085 INFO hook.py line 748 195048] Test: [67/78] Loss 0.7260 +[2025-03-25 06:00:17,114 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0571 +[2025-03-25 06:00:17,140 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3048 +[2025-03-25 06:00:17,192 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1639 +[2025-03-25 06:00:17,230 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9144 +[2025-03-25 06:00:17,276 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3596 +[2025-03-25 06:00:17,319 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4544 +[2025-03-25 06:00:17,356 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8333 +[2025-03-25 06:00:17,402 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6501 +[2025-03-25 06:00:17,427 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1747 +[2025-03-25 06:00:17,476 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3381 +[2025-03-25 06:00:17,500 INFO hook.py line 748 195048] Test: [78/78] Loss 1.2585 +[2025-03-25 06:00:18,514 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:00:18,514 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:00:18,514 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:00:18,514 INFO hook.py line 689 195048] wall : 0.8098 0.9278 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] floor : 0.9503 0.9858 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] cabinet : 0.5671 0.7416 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] bed : 0.6054 0.8842 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] chair : 0.8609 0.9107 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] sofa : 0.7378 0.8280 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] table : 0.6439 0.7382 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] door : 0.5882 0.7223 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] window : 0.4475 0.5339 +[2025-03-25 06:00:18,515 INFO hook.py line 689 195048] bookshelf : 0.7038 0.8186 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] picture : 0.2435 0.3361 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] counter : 0.5408 0.6798 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] desk : 0.5647 0.7079 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] curtain : 0.6590 0.7692 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] refridgerator : 0.4709 0.5984 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] shower curtain : 0.5678 0.7778 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] toilet : 0.8479 0.9361 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] sink : 0.5977 0.6923 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] bathtub : 0.8339 0.8777 +[2025-03-25 06:00:18,516 INFO hook.py line 689 195048] otherfurniture : 0.4723 0.5313 +[2025-03-25 06:00:18,517 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:00:18,517 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6357/0.7499/0.8669. +[2025-03-25 06:00:18,518 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:00:18,529 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 06:00:18,529 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:00:32,419 INFO hook.py line 566 195048] Train: [55/100][50/400] Data 0.002 (0.003) Batch 0.211 (0.201) Remain 01:01:24 loss: 0.6013 Lr: 1.42033e-03 +[2025-03-25 06:00:42,125 INFO hook.py line 566 195048] Train: [55/100][100/400] Data 0.002 (0.003) Batch 0.191 (0.197) Remain 01:00:11 loss: 0.4287 Lr: 1.41414e-03 +[2025-03-25 06:00:52,359 INFO hook.py line 566 195048] Train: [55/100][150/400] Data 0.004 (0.003) Batch 0.204 (0.200) Remain 01:00:46 loss: 0.4847 Lr: 1.40795e-03 +[2025-03-25 06:01:02,343 INFO hook.py line 566 195048] Train: [55/100][200/400] Data 0.002 (0.003) Batch 0.194 (0.200) Remain 01:00:36 loss: 0.1782 Lr: 1.40177e-03 +[2025-03-25 06:01:12,146 INFO hook.py line 566 195048] Train: [55/100][250/400] Data 0.003 (0.003) Batch 0.181 (0.199) Remain 01:00:12 loss: 0.2014 Lr: 1.39558e-03 +[2025-03-25 06:01:21,796 INFO hook.py line 566 195048] Train: [55/100][300/400] Data 0.003 (0.003) Batch 0.182 (0.198) Remain 00:59:44 loss: 0.2363 Lr: 1.38940e-03 +[2025-03-25 06:01:31,631 INFO hook.py line 566 195048] Train: [55/100][350/400] Data 0.003 (0.003) Batch 0.197 (0.198) Remain 00:59:30 loss: 0.4401 Lr: 1.38321e-03 +[2025-03-25 06:01:40,812 INFO hook.py line 566 195048] Train: [55/100][400/400] Data 0.001 (0.003) Batch 0.141 (0.196) Remain 00:58:48 loss: 0.2503 Lr: 1.37703e-03 +[2025-03-25 06:01:40,813 INFO misc.py line 135 195048] Train result: loss: 0.4010 +[2025-03-25 06:01:40,893 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:01:51,887 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2505 +[2025-03-25 06:01:51,955 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7102 +[2025-03-25 06:01:51,986 INFO hook.py line 748 195048] Test: [3/78] Loss 0.6173 +[2025-03-25 06:01:52,029 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6238 +[2025-03-25 06:01:52,061 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5164 +[2025-03-25 06:01:52,118 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3731 +[2025-03-25 06:01:52,164 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5924 +[2025-03-25 06:01:52,188 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3637 +[2025-03-25 06:01:52,231 INFO hook.py line 748 195048] Test: [9/78] Loss 0.7646 +[2025-03-25 06:01:52,260 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0058 +[2025-03-25 06:01:52,300 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6224 +[2025-03-25 06:01:52,336 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2571 +[2025-03-25 06:01:52,380 INFO hook.py line 748 195048] Test: [13/78] Loss 1.4643 +[2025-03-25 06:01:52,413 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1239 +[2025-03-25 06:01:52,445 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6321 +[2025-03-25 06:01:52,486 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1080 +[2025-03-25 06:01:52,521 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5725 +[2025-03-25 06:01:52,550 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8131 +[2025-03-25 06:01:52,589 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0585 +[2025-03-25 06:01:52,632 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0280 +[2025-03-25 06:01:52,663 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3392 +[2025-03-25 06:01:52,699 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4003 +[2025-03-25 06:01:52,723 INFO hook.py line 748 195048] Test: [23/78] Loss 0.6816 +[2025-03-25 06:01:52,763 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0645 +[2025-03-25 06:01:52,800 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9170 +[2025-03-25 06:01:52,837 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7225 +[2025-03-25 06:01:52,882 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1781 +[2025-03-25 06:01:52,911 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4448 +[2025-03-25 06:01:52,935 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3165 +[2025-03-25 06:01:52,984 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6983 +[2025-03-25 06:01:53,037 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4640 +[2025-03-25 06:01:53,076 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6564 +[2025-03-25 06:01:53,124 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2347 +[2025-03-25 06:01:53,160 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1059 +[2025-03-25 06:01:53,196 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4009 +[2025-03-25 06:01:53,228 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9802 +[2025-03-25 06:01:53,262 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5029 +[2025-03-25 06:01:53,292 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4487 +[2025-03-25 06:01:53,346 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4989 +[2025-03-25 06:01:53,390 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8951 +[2025-03-25 06:01:53,429 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0025 +[2025-03-25 06:01:53,454 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2334 +[2025-03-25 06:01:53,485 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3682 +[2025-03-25 06:01:53,537 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7523 +[2025-03-25 06:01:53,568 INFO hook.py line 748 195048] Test: [45/78] Loss 0.7060 +[2025-03-25 06:01:53,630 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7800 +[2025-03-25 06:01:53,664 INFO hook.py line 748 195048] Test: [47/78] Loss 1.5622 +[2025-03-25 06:01:53,695 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6594 +[2025-03-25 06:01:53,729 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3223 +[2025-03-25 06:01:53,762 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0181 +[2025-03-25 06:01:53,790 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8007 +[2025-03-25 06:01:53,825 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9325 +[2025-03-25 06:01:53,853 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2929 +[2025-03-25 06:01:53,886 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3579 +[2025-03-25 06:01:53,920 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0827 +[2025-03-25 06:01:53,956 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3048 +[2025-03-25 06:01:53,984 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0387 +[2025-03-25 06:01:54,007 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5193 +[2025-03-25 06:01:54,042 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7597 +[2025-03-25 06:01:54,070 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9851 +[2025-03-25 06:01:54,090 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6481 +[2025-03-25 06:01:54,119 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6087 +[2025-03-25 06:01:54,151 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2363 +[2025-03-25 06:01:54,201 INFO hook.py line 748 195048] Test: [64/78] Loss 1.1641 +[2025-03-25 06:01:54,225 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9738 +[2025-03-25 06:01:54,261 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7680 +[2025-03-25 06:01:54,295 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4009 +[2025-03-25 06:01:54,323 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0229 +[2025-03-25 06:01:54,349 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3496 +[2025-03-25 06:01:54,400 INFO hook.py line 748 195048] Test: [70/78] Loss 0.9722 +[2025-03-25 06:01:54,438 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1644 +[2025-03-25 06:01:54,484 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4858 +[2025-03-25 06:01:54,527 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6460 +[2025-03-25 06:01:54,564 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3578 +[2025-03-25 06:01:54,610 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7467 +[2025-03-25 06:01:54,635 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9626 +[2025-03-25 06:01:54,684 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5149 +[2025-03-25 06:01:54,707 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6346 +[2025-03-25 06:01:55,690 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:01:55,690 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:01:55,691 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:01:55,691 INFO hook.py line 689 195048] wall : 0.7991 0.8917 +[2025-03-25 06:01:55,691 INFO hook.py line 689 195048] floor : 0.9540 0.9793 +[2025-03-25 06:01:55,691 INFO hook.py line 689 195048] cabinet : 0.5667 0.6876 +[2025-03-25 06:01:55,691 INFO hook.py line 689 195048] bed : 0.7468 0.8439 +[2025-03-25 06:01:55,691 INFO hook.py line 689 195048] chair : 0.8653 0.9399 +[2025-03-25 06:01:55,691 INFO hook.py line 689 195048] sofa : 0.7864 0.8823 +[2025-03-25 06:01:55,691 INFO hook.py line 689 195048] table : 0.6541 0.7744 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] door : 0.5552 0.6923 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] window : 0.4843 0.5919 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] bookshelf : 0.7079 0.9057 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] picture : 0.2318 0.4630 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] counter : 0.5548 0.7320 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] desk : 0.5187 0.8067 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] curtain : 0.5881 0.8512 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] refridgerator : 0.4632 0.5597 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] shower curtain : 0.5710 0.6565 +[2025-03-25 06:01:55,692 INFO hook.py line 689 195048] toilet : 0.9091 0.9376 +[2025-03-25 06:01:55,693 INFO hook.py line 689 195048] sink : 0.5559 0.6502 +[2025-03-25 06:01:55,693 INFO hook.py line 689 195048] bathtub : 0.8600 0.9051 +[2025-03-25 06:01:55,693 INFO hook.py line 689 195048] otherfurniture : 0.4534 0.5636 +[2025-03-25 06:01:55,693 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:01:55,693 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6413/0.7657/0.8643. +[2025-03-25 06:01:55,695 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:01:55,708 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 06:01:55,708 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:02:09,188 INFO hook.py line 566 195048] Train: [56/100][50/400] Data 0.002 (0.003) Batch 0.217 (0.211) Remain 01:03:11 loss: 0.4148 Lr: 1.37086e-03 +[2025-03-25 06:02:18,963 INFO hook.py line 566 195048] Train: [56/100][100/400] Data 0.003 (0.003) Batch 0.190 (0.203) Remain 01:00:35 loss: 0.3950 Lr: 1.36468e-03 +[2025-03-25 06:02:28,870 INFO hook.py line 566 195048] Train: [56/100][150/400] Data 0.003 (0.003) Batch 0.199 (0.201) Remain 00:59:55 loss: 0.3649 Lr: 1.35851e-03 +[2025-03-25 06:02:38,702 INFO hook.py line 566 195048] Train: [56/100][200/400] Data 0.002 (0.003) Batch 0.194 (0.200) Remain 00:59:23 loss: 0.2470 Lr: 1.35234e-03 +[2025-03-25 06:02:48,504 INFO hook.py line 566 195048] Train: [56/100][250/400] Data 0.002 (0.003) Batch 0.190 (0.199) Remain 00:58:58 loss: 0.3060 Lr: 1.34617e-03 +[2025-03-25 06:02:58,383 INFO hook.py line 566 195048] Train: [56/100][300/400] Data 0.002 (0.003) Batch 0.187 (0.199) Remain 00:58:43 loss: 0.3682 Lr: 1.34000e-03 +[2025-03-25 06:03:08,718 INFO hook.py line 566 195048] Train: [56/100][350/400] Data 0.002 (0.003) Batch 0.210 (0.200) Remain 00:58:52 loss: 0.9613 Lr: 1.33384e-03 +[2025-03-25 06:03:17,607 INFO hook.py line 566 195048] Train: [56/100][400/400] Data 0.001 (0.003) Batch 0.156 (0.197) Remain 00:57:53 loss: 0.2948 Lr: 1.32768e-03 +[2025-03-25 06:03:17,608 INFO misc.py line 135 195048] Train result: loss: 0.3921 +[2025-03-25 06:03:17,679 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:03:28,194 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1764 +[2025-03-25 06:03:28,243 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6443 +[2025-03-25 06:03:28,277 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3941 +[2025-03-25 06:03:28,326 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5200 +[2025-03-25 06:03:28,407 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6291 +[2025-03-25 06:03:28,738 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5158 +[2025-03-25 06:03:28,784 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5598 +[2025-03-25 06:03:28,808 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3591 +[2025-03-25 06:03:28,860 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1446 +[2025-03-25 06:03:28,889 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7424 +[2025-03-25 06:03:28,931 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6207 +[2025-03-25 06:03:28,960 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1647 +[2025-03-25 06:03:29,003 INFO hook.py line 748 195048] Test: [13/78] Loss 2.7465 +[2025-03-25 06:03:29,037 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1282 +[2025-03-25 06:03:29,070 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6148 +[2025-03-25 06:03:29,111 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2526 +[2025-03-25 06:03:29,146 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8396 +[2025-03-25 06:03:29,174 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9544 +[2025-03-25 06:03:29,214 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1521 +[2025-03-25 06:03:29,246 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4018 +[2025-03-25 06:03:29,278 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2678 +[2025-03-25 06:03:29,314 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4931 +[2025-03-25 06:03:29,342 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0203 +[2025-03-25 06:03:29,383 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9313 +[2025-03-25 06:03:29,420 INFO hook.py line 748 195048] Test: [25/78] Loss 1.3477 +[2025-03-25 06:03:29,457 INFO hook.py line 748 195048] Test: [26/78] Loss 0.4538 +[2025-03-25 06:03:29,506 INFO hook.py line 748 195048] Test: [27/78] Loss 2.1560 +[2025-03-25 06:03:29,536 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3978 +[2025-03-25 06:03:29,561 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3084 +[2025-03-25 06:03:29,611 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6753 +[2025-03-25 06:03:29,665 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5150 +[2025-03-25 06:03:29,696 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7981 +[2025-03-25 06:03:29,746 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2482 +[2025-03-25 06:03:29,787 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2400 +[2025-03-25 06:03:29,829 INFO hook.py line 748 195048] Test: [35/78] Loss 0.6529 +[2025-03-25 06:03:29,865 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2199 +[2025-03-25 06:03:29,897 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4518 +[2025-03-25 06:03:29,926 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4130 +[2025-03-25 06:03:29,980 INFO hook.py line 748 195048] Test: [39/78] Loss 1.9112 +[2025-03-25 06:03:30,022 INFO hook.py line 748 195048] Test: [40/78] Loss 2.3086 +[2025-03-25 06:03:30,063 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9979 +[2025-03-25 06:03:30,087 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2823 +[2025-03-25 06:03:30,118 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2258 +[2025-03-25 06:03:30,170 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5100 +[2025-03-25 06:03:30,199 INFO hook.py line 748 195048] Test: [45/78] Loss 0.8382 +[2025-03-25 06:03:30,240 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6091 +[2025-03-25 06:03:30,275 INFO hook.py line 748 195048] Test: [47/78] Loss 2.1278 +[2025-03-25 06:03:30,307 INFO hook.py line 748 195048] Test: [48/78] Loss 0.4190 +[2025-03-25 06:03:30,339 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4794 +[2025-03-25 06:03:30,368 INFO hook.py line 748 195048] Test: [50/78] Loss 1.4009 +[2025-03-25 06:03:30,396 INFO hook.py line 748 195048] Test: [51/78] Loss 1.3403 +[2025-03-25 06:03:30,434 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0498 +[2025-03-25 06:03:30,461 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4477 +[2025-03-25 06:03:30,499 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3008 +[2025-03-25 06:03:30,537 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0622 +[2025-03-25 06:03:30,573 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2857 +[2025-03-25 06:03:30,601 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8905 +[2025-03-25 06:03:30,625 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8031 +[2025-03-25 06:03:30,659 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9277 +[2025-03-25 06:03:30,688 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6033 +[2025-03-25 06:03:30,708 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8173 +[2025-03-25 06:03:30,737 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4321 +[2025-03-25 06:03:30,769 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3685 +[2025-03-25 06:03:30,819 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2590 +[2025-03-25 06:03:30,842 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9633 +[2025-03-25 06:03:30,880 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8206 +[2025-03-25 06:03:30,914 INFO hook.py line 748 195048] Test: [67/78] Loss 0.8174 +[2025-03-25 06:03:30,943 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0900 +[2025-03-25 06:03:30,969 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3367 +[2025-03-25 06:03:31,022 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1715 +[2025-03-25 06:03:31,059 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8752 +[2025-03-25 06:03:31,105 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3450 +[2025-03-25 06:03:31,148 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4717 +[2025-03-25 06:03:31,185 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1626 +[2025-03-25 06:03:31,231 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7105 +[2025-03-25 06:03:31,255 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6719 +[2025-03-25 06:03:31,305 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3177 +[2025-03-25 06:03:31,328 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8543 +[2025-03-25 06:03:32,275 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:03:32,276 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:03:32,276 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] wall : 0.7978 0.9267 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] floor : 0.9559 0.9836 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] cabinet : 0.5407 0.6165 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] bed : 0.7488 0.8362 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] chair : 0.8534 0.8882 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] sofa : 0.7285 0.9245 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] table : 0.6580 0.7467 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] door : 0.5495 0.6852 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] window : 0.4847 0.6841 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] bookshelf : 0.7142 0.8648 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] picture : 0.2497 0.3446 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] counter : 0.5028 0.7997 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] desk : 0.5696 0.7561 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] curtain : 0.5976 0.6293 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] refridgerator : 0.3713 0.3885 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] shower curtain : 0.5696 0.7650 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] toilet : 0.8799 0.9102 +[2025-03-25 06:03:32,276 INFO hook.py line 689 195048] sink : 0.5628 0.6911 +[2025-03-25 06:03:32,277 INFO hook.py line 689 195048] bathtub : 0.8324 0.8929 +[2025-03-25 06:03:32,277 INFO hook.py line 689 195048] otherfurniture : 0.4553 0.5601 +[2025-03-25 06:03:32,277 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:03:32,277 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6311/0.7447/0.8644. +[2025-03-25 06:03:32,277 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:03:32,287 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 06:03:32,287 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:03:45,582 INFO hook.py line 566 195048] Train: [57/100][50/400] Data 0.004 (0.003) Batch 0.173 (0.201) Remain 00:58:43 loss: 0.1410 Lr: 1.32152e-03 +[2025-03-25 06:03:55,498 INFO hook.py line 566 195048] Train: [57/100][100/400] Data 0.003 (0.003) Batch 0.218 (0.200) Remain 00:58:11 loss: 0.4635 Lr: 1.31537e-03 +[2025-03-25 06:04:05,314 INFO hook.py line 566 195048] Train: [57/100][150/400] Data 0.003 (0.003) Batch 0.209 (0.198) Remain 00:57:42 loss: 0.3548 Lr: 1.30922e-03 +[2025-03-25 06:04:15,284 INFO hook.py line 566 195048] Train: [57/100][200/400] Data 0.003 (0.003) Batch 0.203 (0.199) Remain 00:57:36 loss: 0.2422 Lr: 1.30307e-03 +[2025-03-25 06:04:25,039 INFO hook.py line 566 195048] Train: [57/100][250/400] Data 0.002 (0.003) Batch 0.192 (0.198) Remain 00:57:14 loss: 0.1833 Lr: 1.29692e-03 +[2025-03-25 06:04:34,973 INFO hook.py line 566 195048] Train: [57/100][300/400] Data 0.002 (0.003) Batch 0.206 (0.198) Remain 00:57:06 loss: 0.5247 Lr: 1.29091e-03 +[2025-03-25 06:04:45,068 INFO hook.py line 566 195048] Train: [57/100][350/400] Data 0.002 (0.003) Batch 0.188 (0.199) Remain 00:57:06 loss: 0.3672 Lr: 1.28477e-03 +[2025-03-25 06:04:54,135 INFO hook.py line 566 195048] Train: [57/100][400/400] Data 0.001 (0.003) Batch 0.148 (0.196) Remain 00:56:18 loss: 0.3295 Lr: 1.27864e-03 +[2025-03-25 06:04:54,135 INFO misc.py line 135 195048] Train result: loss: 0.3894 +[2025-03-25 06:04:54,223 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:05:04,806 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3491 +[2025-03-25 06:05:05,178 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7671 +[2025-03-25 06:05:05,215 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3104 +[2025-03-25 06:05:05,257 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5645 +[2025-03-25 06:05:05,340 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6187 +[2025-03-25 06:05:05,389 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3210 +[2025-03-25 06:05:05,437 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6987 +[2025-03-25 06:05:05,460 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3250 +[2025-03-25 06:05:05,505 INFO hook.py line 748 195048] Test: [9/78] Loss 0.8536 +[2025-03-25 06:05:05,540 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6476 +[2025-03-25 06:05:05,656 INFO hook.py line 748 195048] Test: [11/78] Loss 0.4792 +[2025-03-25 06:05:05,683 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9708 +[2025-03-25 06:05:05,726 INFO hook.py line 748 195048] Test: [13/78] Loss 1.6386 +[2025-03-25 06:05:05,770 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8396 +[2025-03-25 06:05:05,802 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0124 +[2025-03-25 06:05:05,843 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1913 +[2025-03-25 06:05:05,879 INFO hook.py line 748 195048] Test: [17/78] Loss 0.8771 +[2025-03-25 06:05:05,907 INFO hook.py line 748 195048] Test: [18/78] Loss 1.2862 +[2025-03-25 06:05:05,946 INFO hook.py line 748 195048] Test: [19/78] Loss 0.8657 +[2025-03-25 06:05:05,974 INFO hook.py line 748 195048] Test: [20/78] Loss 0.9969 +[2025-03-25 06:05:06,006 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3357 +[2025-03-25 06:05:06,042 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6106 +[2025-03-25 06:05:06,066 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9393 +[2025-03-25 06:05:06,105 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9046 +[2025-03-25 06:05:06,142 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2805 +[2025-03-25 06:05:06,189 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6822 +[2025-03-25 06:05:06,236 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2052 +[2025-03-25 06:05:06,266 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4255 +[2025-03-25 06:05:06,291 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3622 +[2025-03-25 06:05:06,342 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4889 +[2025-03-25 06:05:06,398 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5343 +[2025-03-25 06:05:06,428 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6939 +[2025-03-25 06:05:06,475 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2542 +[2025-03-25 06:05:06,512 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0567 +[2025-03-25 06:05:06,548 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3889 +[2025-03-25 06:05:06,579 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3195 +[2025-03-25 06:05:06,612 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4545 +[2025-03-25 06:05:06,649 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3233 +[2025-03-25 06:05:06,703 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5979 +[2025-03-25 06:05:06,745 INFO hook.py line 748 195048] Test: [40/78] Loss 1.3997 +[2025-03-25 06:05:06,783 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1411 +[2025-03-25 06:05:06,807 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2509 +[2025-03-25 06:05:06,837 INFO hook.py line 748 195048] Test: [43/78] Loss 0.5219 +[2025-03-25 06:05:06,891 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5208 +[2025-03-25 06:05:06,919 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6890 +[2025-03-25 06:05:06,961 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8999 +[2025-03-25 06:05:06,996 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0590 +[2025-03-25 06:05:07,028 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6391 +[2025-03-25 06:05:07,059 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3219 +[2025-03-25 06:05:07,096 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9266 +[2025-03-25 06:05:07,127 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2716 +[2025-03-25 06:05:07,165 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0125 +[2025-03-25 06:05:07,190 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3939 +[2025-03-25 06:05:07,226 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2849 +[2025-03-25 06:05:07,261 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0538 +[2025-03-25 06:05:07,297 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2581 +[2025-03-25 06:05:07,326 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7479 +[2025-03-25 06:05:07,349 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8127 +[2025-03-25 06:05:07,383 INFO hook.py line 748 195048] Test: [59/78] Loss 1.0276 +[2025-03-25 06:05:07,412 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6658 +[2025-03-25 06:05:07,432 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6488 +[2025-03-25 06:05:07,461 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5701 +[2025-03-25 06:05:07,493 INFO hook.py line 748 195048] Test: [63/78] Loss 0.9479 +[2025-03-25 06:05:07,543 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4184 +[2025-03-25 06:05:07,566 INFO hook.py line 748 195048] Test: [65/78] Loss 1.3411 +[2025-03-25 06:05:07,603 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8744 +[2025-03-25 06:05:07,638 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3952 +[2025-03-25 06:05:07,666 INFO hook.py line 748 195048] Test: [68/78] Loss 0.8277 +[2025-03-25 06:05:07,693 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3941 +[2025-03-25 06:05:07,745 INFO hook.py line 748 195048] Test: [70/78] Loss 1.6413 +[2025-03-25 06:05:07,783 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9883 +[2025-03-25 06:05:07,828 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5124 +[2025-03-25 06:05:07,871 INFO hook.py line 748 195048] Test: [73/78] Loss 0.8153 +[2025-03-25 06:05:07,909 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1598 +[2025-03-25 06:05:07,955 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8995 +[2025-03-25 06:05:07,980 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9003 +[2025-03-25 06:05:08,030 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4610 +[2025-03-25 06:05:08,053 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5169 +[2025-03-25 06:05:08,936 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:05:08,936 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:05:08,936 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] wall : 0.8034 0.8839 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] floor : 0.9546 0.9851 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] cabinet : 0.5662 0.6971 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] bed : 0.7376 0.8328 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] chair : 0.8780 0.9297 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] sofa : 0.8106 0.8770 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] table : 0.6766 0.8030 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] door : 0.5393 0.7843 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] window : 0.5082 0.6977 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] bookshelf : 0.7254 0.9182 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] picture : 0.2475 0.3349 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] counter : 0.5334 0.6592 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] desk : 0.5314 0.6607 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] curtain : 0.6597 0.7645 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] refridgerator : 0.4153 0.5274 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] shower curtain : 0.6140 0.6813 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] toilet : 0.8700 0.9285 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] sink : 0.5094 0.7410 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] bathtub : 0.8072 0.9180 +[2025-03-25 06:05:08,936 INFO hook.py line 689 195048] otherfurniture : 0.4729 0.6068 +[2025-03-25 06:05:08,936 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:05:08,936 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6430/0.7615/0.8682. +[2025-03-25 06:05:08,937 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:05:08,949 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 06:05:08,949 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:05:22,127 INFO hook.py line 566 195048] Train: [58/100][50/400] Data 0.003 (0.003) Batch 0.197 (0.200) Remain 00:57:12 loss: 0.5354 Lr: 1.27251e-03 +[2025-03-25 06:05:32,111 INFO hook.py line 566 195048] Train: [58/100][100/400] Data 0.005 (0.003) Batch 0.220 (0.200) Remain 00:56:58 loss: 0.4618 Lr: 1.26638e-03 +[2025-03-25 06:05:42,235 INFO hook.py line 566 195048] Train: [58/100][150/400] Data 0.005 (0.003) Batch 0.194 (0.201) Remain 00:57:03 loss: 0.3622 Lr: 1.26026e-03 +[2025-03-25 06:05:52,165 INFO hook.py line 566 195048] Train: [58/100][200/400] Data 0.003 (0.003) Batch 0.203 (0.200) Remain 00:56:43 loss: 0.4886 Lr: 1.25414e-03 +[2025-03-25 06:06:02,014 INFO hook.py line 566 195048] Train: [58/100][250/400] Data 0.002 (0.003) Batch 0.205 (0.200) Remain 00:56:22 loss: 0.3126 Lr: 1.24803e-03 +[2025-03-25 06:06:11,864 INFO hook.py line 566 195048] Train: [58/100][300/400] Data 0.002 (0.003) Batch 0.218 (0.199) Remain 00:56:05 loss: 0.4158 Lr: 1.24192e-03 +[2025-03-25 06:06:21,754 INFO hook.py line 566 195048] Train: [58/100][350/400] Data 0.002 (0.003) Batch 0.199 (0.199) Remain 00:55:52 loss: 0.4623 Lr: 1.23581e-03 +[2025-03-25 06:06:30,598 INFO hook.py line 566 195048] Train: [58/100][400/400] Data 0.001 (0.003) Batch 0.157 (0.196) Remain 00:54:55 loss: 0.3094 Lr: 1.22971e-03 +[2025-03-25 06:06:30,598 INFO misc.py line 135 195048] Train result: loss: 0.3944 +[2025-03-25 06:06:30,677 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:06:41,085 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2268 +[2025-03-25 06:06:41,304 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5251 +[2025-03-25 06:06:41,346 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4773 +[2025-03-25 06:06:41,390 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5467 +[2025-03-25 06:06:41,423 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5343 +[2025-03-25 06:06:41,678 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5001 +[2025-03-25 06:06:41,725 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6642 +[2025-03-25 06:06:41,750 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3310 +[2025-03-25 06:06:42,037 INFO hook.py line 748 195048] Test: [9/78] Loss 1.4200 +[2025-03-25 06:06:42,071 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6345 +[2025-03-25 06:06:42,220 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6608 +[2025-03-25 06:06:42,249 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2016 +[2025-03-25 06:06:42,296 INFO hook.py line 748 195048] Test: [13/78] Loss 1.7296 +[2025-03-25 06:06:42,336 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0175 +[2025-03-25 06:06:42,368 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6080 +[2025-03-25 06:06:42,411 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2817 +[2025-03-25 06:06:42,447 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5270 +[2025-03-25 06:06:42,480 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7107 +[2025-03-25 06:06:42,523 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4405 +[2025-03-25 06:06:42,551 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3412 +[2025-03-25 06:06:42,584 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2960 +[2025-03-25 06:06:42,620 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3774 +[2025-03-25 06:06:42,645 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0651 +[2025-03-25 06:06:42,685 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8703 +[2025-03-25 06:06:42,722 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7909 +[2025-03-25 06:06:42,758 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5754 +[2025-03-25 06:06:42,805 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6209 +[2025-03-25 06:06:42,837 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4823 +[2025-03-25 06:06:42,870 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3277 +[2025-03-25 06:06:42,920 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5824 +[2025-03-25 06:06:42,976 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5164 +[2025-03-25 06:06:43,007 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6775 +[2025-03-25 06:06:43,055 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2665 +[2025-03-25 06:06:43,093 INFO hook.py line 748 195048] Test: [34/78] Loss 1.3381 +[2025-03-25 06:06:43,126 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3511 +[2025-03-25 06:06:43,156 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3386 +[2025-03-25 06:06:43,192 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4851 +[2025-03-25 06:06:43,223 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4026 +[2025-03-25 06:06:43,276 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5851 +[2025-03-25 06:06:43,318 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6354 +[2025-03-25 06:06:43,357 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0108 +[2025-03-25 06:06:43,382 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2932 +[2025-03-25 06:06:43,415 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2588 +[2025-03-25 06:06:43,473 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5627 +[2025-03-25 06:06:43,503 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5943 +[2025-03-25 06:06:43,545 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8186 +[2025-03-25 06:06:43,580 INFO hook.py line 748 195048] Test: [47/78] Loss 2.5966 +[2025-03-25 06:06:43,614 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5664 +[2025-03-25 06:06:43,656 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6533 +[2025-03-25 06:06:43,688 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0709 +[2025-03-25 06:06:43,725 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0030 +[2025-03-25 06:06:43,760 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9130 +[2025-03-25 06:06:43,792 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4472 +[2025-03-25 06:06:43,829 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4930 +[2025-03-25 06:06:43,866 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0685 +[2025-03-25 06:06:43,901 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2459 +[2025-03-25 06:06:43,931 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8663 +[2025-03-25 06:06:43,953 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6561 +[2025-03-25 06:06:43,988 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7486 +[2025-03-25 06:06:44,017 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9530 +[2025-03-25 06:06:44,037 INFO hook.py line 748 195048] Test: [61/78] Loss 0.9210 +[2025-03-25 06:06:44,066 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5909 +[2025-03-25 06:06:44,098 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3340 +[2025-03-25 06:06:44,149 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4530 +[2025-03-25 06:06:44,173 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9840 +[2025-03-25 06:06:44,210 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9072 +[2025-03-25 06:06:44,244 INFO hook.py line 748 195048] Test: [67/78] Loss 0.8857 +[2025-03-25 06:06:44,273 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9714 +[2025-03-25 06:06:44,299 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3496 +[2025-03-25 06:06:44,351 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1580 +[2025-03-25 06:06:44,389 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7789 +[2025-03-25 06:06:44,434 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3807 +[2025-03-25 06:06:44,478 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4703 +[2025-03-25 06:06:44,515 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2339 +[2025-03-25 06:06:44,561 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6592 +[2025-03-25 06:06:44,586 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7106 +[2025-03-25 06:06:44,635 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3359 +[2025-03-25 06:06:44,658 INFO hook.py line 748 195048] Test: [78/78] Loss 0.9560 +[2025-03-25 06:06:45,680 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:06:45,681 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:06:45,681 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] wall : 0.8085 0.9287 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] floor : 0.9557 0.9785 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] cabinet : 0.5410 0.7157 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] bed : 0.7283 0.8596 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] chair : 0.8721 0.9112 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] sofa : 0.8012 0.9042 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] table : 0.6769 0.7855 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] door : 0.5670 0.6857 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] window : 0.5091 0.6818 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] bookshelf : 0.6952 0.7914 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] picture : 0.2382 0.3647 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] counter : 0.5346 0.7605 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] desk : 0.5242 0.6908 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] curtain : 0.6476 0.6866 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] refridgerator : 0.4302 0.4521 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] shower curtain : 0.5936 0.6813 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] toilet : 0.8547 0.9503 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] sink : 0.5506 0.7038 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] bathtub : 0.8733 0.9036 +[2025-03-25 06:06:45,681 INFO hook.py line 689 195048] otherfurniture : 0.4666 0.5738 +[2025-03-25 06:06:45,681 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:06:45,681 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6434/0.7505/0.8695. +[2025-03-25 06:06:45,682 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:06:45,696 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 06:06:45,696 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:06:59,401 INFO hook.py line 566 195048] Train: [59/100][50/400] Data 0.003 (0.003) Batch 0.183 (0.196) Remain 00:54:48 loss: 0.2246 Lr: 1.22361e-03 +[2025-03-25 06:07:09,210 INFO hook.py line 566 195048] Train: [59/100][100/400] Data 0.003 (0.003) Batch 0.202 (0.196) Remain 00:54:37 loss: 0.4534 Lr: 1.21752e-03 +[2025-03-25 06:07:19,097 INFO hook.py line 566 195048] Train: [59/100][150/400] Data 0.002 (0.003) Batch 0.160 (0.197) Remain 00:54:35 loss: 0.5565 Lr: 1.21144e-03 +[2025-03-25 06:07:29,041 INFO hook.py line 566 195048] Train: [59/100][200/400] Data 0.002 (0.003) Batch 0.193 (0.197) Remain 00:54:35 loss: 0.2419 Lr: 1.20536e-03 +[2025-03-25 06:07:38,985 INFO hook.py line 566 195048] Train: [59/100][250/400] Data 0.003 (0.003) Batch 0.190 (0.198) Remain 00:54:30 loss: 0.6688 Lr: 1.19928e-03 +[2025-03-25 06:07:49,022 INFO hook.py line 566 195048] Train: [59/100][300/400] Data 0.003 (0.003) Batch 0.350 (0.198) Remain 00:54:29 loss: 0.4352 Lr: 1.19321e-03 +[2025-03-25 06:07:59,099 INFO hook.py line 566 195048] Train: [59/100][350/400] Data 0.003 (0.003) Batch 0.215 (0.199) Remain 00:54:27 loss: 0.8268 Lr: 1.18714e-03 +[2025-03-25 06:08:08,005 INFO hook.py line 566 195048] Train: [59/100][400/400] Data 0.001 (0.003) Batch 0.147 (0.196) Remain 00:53:35 loss: 0.6306 Lr: 1.18108e-03 +[2025-03-25 06:08:08,005 INFO misc.py line 135 195048] Train result: loss: 0.3741 +[2025-03-25 06:08:08,089 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:08:18,324 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2543 +[2025-03-25 06:08:18,363 INFO hook.py line 748 195048] Test: [2/78] Loss 0.4373 +[2025-03-25 06:08:18,637 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4920 +[2025-03-25 06:08:19,349 INFO hook.py line 748 195048] Test: [4/78] Loss 0.4922 +[2025-03-25 06:08:19,398 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4327 +[2025-03-25 06:08:19,452 INFO hook.py line 748 195048] Test: [6/78] Loss 1.3433 +[2025-03-25 06:08:19,499 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5327 +[2025-03-25 06:08:19,522 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4044 +[2025-03-25 06:08:19,564 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1354 +[2025-03-25 06:08:19,594 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9524 +[2025-03-25 06:08:19,636 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7137 +[2025-03-25 06:08:19,667 INFO hook.py line 748 195048] Test: [12/78] Loss 0.7810 +[2025-03-25 06:08:19,711 INFO hook.py line 748 195048] Test: [13/78] Loss 1.9509 +[2025-03-25 06:08:19,746 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6629 +[2025-03-25 06:08:19,785 INFO hook.py line 748 195048] Test: [15/78] Loss 2.1833 +[2025-03-25 06:08:19,827 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2478 +[2025-03-25 06:08:19,862 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6808 +[2025-03-25 06:08:19,894 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8402 +[2025-03-25 06:08:19,937 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4697 +[2025-03-25 06:08:19,965 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3570 +[2025-03-25 06:08:19,997 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2634 +[2025-03-25 06:08:20,034 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3807 +[2025-03-25 06:08:20,059 INFO hook.py line 748 195048] Test: [23/78] Loss 0.6685 +[2025-03-25 06:08:20,099 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7107 +[2025-03-25 06:08:20,143 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8803 +[2025-03-25 06:08:20,184 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5537 +[2025-03-25 06:08:20,229 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2595 +[2025-03-25 06:08:20,260 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5123 +[2025-03-25 06:08:20,293 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2968 +[2025-03-25 06:08:20,340 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4878 +[2025-03-25 06:08:20,396 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5833 +[2025-03-25 06:08:20,430 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7351 +[2025-03-25 06:08:20,478 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2359 +[2025-03-25 06:08:20,518 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0881 +[2025-03-25 06:08:20,554 INFO hook.py line 748 195048] Test: [35/78] Loss 0.2888 +[2025-03-25 06:08:20,586 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1345 +[2025-03-25 06:08:20,618 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5222 +[2025-03-25 06:08:20,645 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2849 +[2025-03-25 06:08:20,700 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4893 +[2025-03-25 06:08:20,743 INFO hook.py line 748 195048] Test: [40/78] Loss 1.5027 +[2025-03-25 06:08:20,784 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9881 +[2025-03-25 06:08:20,808 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1620 +[2025-03-25 06:08:20,840 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3530 +[2025-03-25 06:08:20,896 INFO hook.py line 748 195048] Test: [44/78] Loss 0.4367 +[2025-03-25 06:08:20,926 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5416 +[2025-03-25 06:08:20,969 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8535 +[2025-03-25 06:08:21,001 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9679 +[2025-03-25 06:08:21,033 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6634 +[2025-03-25 06:08:21,066 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6050 +[2025-03-25 06:08:21,100 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0901 +[2025-03-25 06:08:21,134 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2240 +[2025-03-25 06:08:21,170 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9491 +[2025-03-25 06:08:21,197 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2738 +[2025-03-25 06:08:21,231 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1485 +[2025-03-25 06:08:21,265 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0619 +[2025-03-25 06:08:21,301 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2382 +[2025-03-25 06:08:21,329 INFO hook.py line 748 195048] Test: [57/78] Loss 1.1302 +[2025-03-25 06:08:21,353 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6625 +[2025-03-25 06:08:21,388 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7675 +[2025-03-25 06:08:21,416 INFO hook.py line 748 195048] Test: [60/78] Loss 1.3015 +[2025-03-25 06:08:21,436 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7582 +[2025-03-25 06:08:21,464 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5587 +[2025-03-25 06:08:21,496 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3485 +[2025-03-25 06:08:21,547 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2845 +[2025-03-25 06:08:21,570 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9628 +[2025-03-25 06:08:21,608 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7828 +[2025-03-25 06:08:21,642 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4483 +[2025-03-25 06:08:21,671 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9001 +[2025-03-25 06:08:21,697 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3484 +[2025-03-25 06:08:21,750 INFO hook.py line 748 195048] Test: [70/78] Loss 1.1746 +[2025-03-25 06:08:21,787 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0427 +[2025-03-25 06:08:21,833 INFO hook.py line 748 195048] Test: [72/78] Loss 0.6616 +[2025-03-25 06:08:21,877 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5459 +[2025-03-25 06:08:21,914 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8145 +[2025-03-25 06:08:21,960 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7966 +[2025-03-25 06:08:21,985 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0304 +[2025-03-25 06:08:22,035 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5009 +[2025-03-25 06:08:22,058 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6087 +[2025-03-25 06:08:23,074 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:08:23,074 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:08:23,074 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] wall : 0.8113 0.9315 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] floor : 0.9547 0.9842 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] cabinet : 0.5626 0.7303 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] bed : 0.7169 0.8243 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] chair : 0.8678 0.9313 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] sofa : 0.7757 0.8847 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] table : 0.6767 0.7856 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] door : 0.5644 0.6895 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] window : 0.4820 0.5973 +[2025-03-25 06:08:23,075 INFO hook.py line 689 195048] bookshelf : 0.7027 0.7531 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] picture : 0.2158 0.2944 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] counter : 0.5091 0.6141 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] desk : 0.5529 0.7878 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] curtain : 0.6590 0.7974 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] refridgerator : 0.4151 0.4431 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] shower curtain : 0.6009 0.6837 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] toilet : 0.8856 0.9433 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] sink : 0.5464 0.5901 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] bathtub : 0.8372 0.8873 +[2025-03-25 06:08:23,076 INFO hook.py line 689 195048] otherfurniture : 0.4890 0.5850 +[2025-03-25 06:08:23,076 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:08:23,076 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6413/0.7369/0.8714. +[2025-03-25 06:08:23,077 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:08:23,092 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 06:08:23,093 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:08:36,133 INFO hook.py line 566 195048] Train: [60/100][50/400] Data 0.002 (0.003) Batch 0.181 (0.203) Remain 00:55:24 loss: 0.3682 Lr: 1.17503e-03 +[2025-03-25 06:08:46,081 INFO hook.py line 566 195048] Train: [60/100][100/400] Data 0.002 (0.003) Batch 0.196 (0.201) Remain 00:54:37 loss: 0.2537 Lr: 1.16898e-03 +[2025-03-25 06:08:55,958 INFO hook.py line 566 195048] Train: [60/100][150/400] Data 0.002 (0.003) Batch 0.186 (0.200) Remain 00:54:07 loss: 0.6303 Lr: 1.16293e-03 +[2025-03-25 06:09:05,840 INFO hook.py line 566 195048] Train: [60/100][200/400] Data 0.003 (0.003) Batch 0.205 (0.199) Remain 00:53:48 loss: 0.5559 Lr: 1.15689e-03 +[2025-03-25 06:09:15,753 INFO hook.py line 566 195048] Train: [60/100][250/400] Data 0.002 (0.003) Batch 0.204 (0.199) Remain 00:53:35 loss: 0.2977 Lr: 1.15098e-03 +[2025-03-25 06:09:25,894 INFO hook.py line 566 195048] Train: [60/100][300/400] Data 0.003 (0.003) Batch 0.189 (0.200) Remain 00:53:35 loss: 0.4339 Lr: 1.14496e-03 +[2025-03-25 06:09:35,960 INFO hook.py line 566 195048] Train: [60/100][350/400] Data 0.002 (0.003) Batch 0.191 (0.200) Remain 00:53:29 loss: 0.7836 Lr: 1.13893e-03 +[2025-03-25 06:09:44,745 INFO hook.py line 566 195048] Train: [60/100][400/400] Data 0.001 (0.003) Batch 0.159 (0.197) Remain 00:52:30 loss: 0.4004 Lr: 1.13292e-03 +[2025-03-25 06:09:44,745 INFO misc.py line 135 195048] Train result: loss: 0.3613 +[2025-03-25 06:09:44,838 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:09:55,426 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2164 +[2025-03-25 06:09:55,469 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8849 +[2025-03-25 06:09:55,947 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3081 +[2025-03-25 06:09:55,990 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5518 +[2025-03-25 06:09:56,020 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5863 +[2025-03-25 06:09:56,071 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4497 +[2025-03-25 06:09:56,118 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6175 +[2025-03-25 06:09:56,168 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3859 +[2025-03-25 06:09:56,213 INFO hook.py line 748 195048] Test: [9/78] Loss 1.2922 +[2025-03-25 06:09:56,242 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9319 +[2025-03-25 06:09:56,284 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5656 +[2025-03-25 06:09:56,313 INFO hook.py line 748 195048] Test: [12/78] Loss 1.4948 +[2025-03-25 06:09:56,357 INFO hook.py line 748 195048] Test: [13/78] Loss 2.2141 +[2025-03-25 06:09:56,391 INFO hook.py line 748 195048] Test: [14/78] Loss 2.2934 +[2025-03-25 06:09:56,423 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6731 +[2025-03-25 06:09:56,464 INFO hook.py line 748 195048] Test: [16/78] Loss 0.8261 +[2025-03-25 06:09:56,499 INFO hook.py line 748 195048] Test: [17/78] Loss 0.7197 +[2025-03-25 06:09:56,530 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8025 +[2025-03-25 06:09:56,575 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0017 +[2025-03-25 06:09:56,604 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3479 +[2025-03-25 06:09:56,636 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3341 +[2025-03-25 06:09:56,672 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6583 +[2025-03-25 06:09:56,698 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8155 +[2025-03-25 06:09:56,740 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0402 +[2025-03-25 06:09:56,778 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2720 +[2025-03-25 06:09:56,816 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7300 +[2025-03-25 06:09:56,861 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5459 +[2025-03-25 06:09:56,894 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3178 +[2025-03-25 06:09:56,919 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3038 +[2025-03-25 06:09:56,969 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5275 +[2025-03-25 06:09:57,023 INFO hook.py line 748 195048] Test: [31/78] Loss 0.3994 +[2025-03-25 06:09:57,054 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8770 +[2025-03-25 06:09:57,104 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2564 +[2025-03-25 06:09:57,141 INFO hook.py line 748 195048] Test: [34/78] Loss 1.3411 +[2025-03-25 06:09:57,178 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5239 +[2025-03-25 06:09:57,210 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0757 +[2025-03-25 06:09:57,249 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4779 +[2025-03-25 06:09:57,279 INFO hook.py line 748 195048] Test: [38/78] Loss 0.4213 +[2025-03-25 06:09:57,333 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6107 +[2025-03-25 06:09:57,374 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0735 +[2025-03-25 06:09:57,415 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9661 +[2025-03-25 06:09:57,441 INFO hook.py line 748 195048] Test: [42/78] Loss 0.5521 +[2025-03-25 06:09:57,480 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2755 +[2025-03-25 06:09:57,533 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6182 +[2025-03-25 06:09:57,564 INFO hook.py line 748 195048] Test: [45/78] Loss 0.8164 +[2025-03-25 06:09:57,605 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7374 +[2025-03-25 06:09:57,645 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9237 +[2025-03-25 06:09:57,676 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6726 +[2025-03-25 06:09:57,710 INFO hook.py line 748 195048] Test: [49/78] Loss 1.0950 +[2025-03-25 06:09:57,741 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2494 +[2025-03-25 06:09:57,775 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0358 +[2025-03-25 06:09:57,809 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9116 +[2025-03-25 06:09:57,836 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5069 +[2025-03-25 06:09:57,874 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2265 +[2025-03-25 06:09:57,908 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0749 +[2025-03-25 06:09:57,945 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3051 +[2025-03-25 06:09:57,974 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8286 +[2025-03-25 06:09:57,997 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7370 +[2025-03-25 06:09:58,031 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7900 +[2025-03-25 06:09:58,060 INFO hook.py line 748 195048] Test: [60/78] Loss 0.4589 +[2025-03-25 06:09:58,081 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5997 +[2025-03-25 06:09:58,109 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6772 +[2025-03-25 06:09:58,142 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1060 +[2025-03-25 06:09:58,193 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3480 +[2025-03-25 06:09:58,216 INFO hook.py line 748 195048] Test: [65/78] Loss 1.2270 +[2025-03-25 06:09:58,253 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7525 +[2025-03-25 06:09:58,288 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4690 +[2025-03-25 06:09:58,317 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1569 +[2025-03-25 06:09:58,343 INFO hook.py line 748 195048] Test: [69/78] Loss 0.2972 +[2025-03-25 06:09:58,395 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5865 +[2025-03-25 06:09:58,433 INFO hook.py line 748 195048] Test: [71/78] Loss 1.0073 +[2025-03-25 06:09:58,478 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5103 +[2025-03-25 06:09:58,522 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5447 +[2025-03-25 06:09:58,559 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0356 +[2025-03-25 06:09:58,605 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8450 +[2025-03-25 06:09:58,630 INFO hook.py line 748 195048] Test: [76/78] Loss 0.5125 +[2025-03-25 06:09:58,680 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3970 +[2025-03-25 06:09:58,703 INFO hook.py line 748 195048] Test: [78/78] Loss 1.1992 +[2025-03-25 06:09:59,711 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:09:59,711 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:09:59,711 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] wall : 0.8131 0.9114 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] floor : 0.9556 0.9794 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] cabinet : 0.5444 0.6632 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] bed : 0.6717 0.8829 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] chair : 0.8657 0.9118 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] sofa : 0.7358 0.8913 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] table : 0.6417 0.7207 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] door : 0.5670 0.6670 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] window : 0.4924 0.7520 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] bookshelf : 0.7383 0.8635 +[2025-03-25 06:09:59,711 INFO hook.py line 689 195048] picture : 0.2442 0.3069 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] counter : 0.4927 0.5658 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] desk : 0.5684 0.7434 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] curtain : 0.6063 0.8396 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] refridgerator : 0.3826 0.3930 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] shower curtain : 0.5914 0.6878 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] toilet : 0.8664 0.9491 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] sink : 0.5512 0.6339 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] bathtub : 0.8380 0.9186 +[2025-03-25 06:09:59,712 INFO hook.py line 689 195048] otherfurniture : 0.4832 0.6250 +[2025-03-25 06:09:59,712 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:09:59,712 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6325/0.7453/0.8673. +[2025-03-25 06:09:59,712 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:09:59,726 INFO misc.py line 164 195048] Currently Best mIoU: 0.6483 +[2025-03-25 06:09:59,726 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:10:12,891 INFO hook.py line 566 195048] Train: [61/100][50/400] Data 0.002 (0.012) Batch 0.198 (0.208) Remain 00:55:19 loss: 0.7778 Lr: 1.12691e-03 +[2025-03-25 06:10:23,014 INFO hook.py line 566 195048] Train: [61/100][100/400] Data 0.002 (0.007) Batch 0.188 (0.205) Remain 00:54:22 loss: 0.6297 Lr: 1.12091e-03 +[2025-03-25 06:10:32,907 INFO hook.py line 566 195048] Train: [61/100][150/400] Data 0.003 (0.005) Batch 0.191 (0.203) Remain 00:53:32 loss: 0.5607 Lr: 1.11492e-03 +[2025-03-25 06:10:42,912 INFO hook.py line 566 195048] Train: [61/100][200/400] Data 0.002 (0.005) Batch 0.202 (0.202) Remain 00:53:12 loss: 0.1518 Lr: 1.10893e-03 +[2025-03-25 06:10:52,765 INFO hook.py line 566 195048] Train: [61/100][250/400] Data 0.002 (0.004) Batch 0.184 (0.201) Remain 00:52:46 loss: 0.4349 Lr: 1.10294e-03 +[2025-03-25 06:11:02,679 INFO hook.py line 566 195048] Train: [61/100][300/400] Data 0.003 (0.004) Batch 0.193 (0.201) Remain 00:52:28 loss: 0.3677 Lr: 1.09697e-03 +[2025-03-25 06:11:12,645 INFO hook.py line 566 195048] Train: [61/100][350/400] Data 0.003 (0.004) Batch 0.216 (0.200) Remain 00:52:16 loss: 0.1599 Lr: 1.09100e-03 +[2025-03-25 06:11:21,530 INFO hook.py line 566 195048] Train: [61/100][400/400] Data 0.001 (0.004) Batch 0.141 (0.198) Remain 00:51:21 loss: 0.2338 Lr: 1.08504e-03 +[2025-03-25 06:11:21,531 INFO misc.py line 135 195048] Train result: loss: 0.3592 +[2025-03-25 06:11:21,624 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:11:31,717 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2264 +[2025-03-25 06:11:32,039 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6611 +[2025-03-25 06:11:32,179 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4719 +[2025-03-25 06:11:32,284 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5211 +[2025-03-25 06:11:32,589 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4427 +[2025-03-25 06:11:32,638 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4731 +[2025-03-25 06:11:32,686 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5626 +[2025-03-25 06:11:32,902 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4025 +[2025-03-25 06:11:32,948 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9538 +[2025-03-25 06:11:32,980 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8919 +[2025-03-25 06:11:33,021 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6387 +[2025-03-25 06:11:33,171 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9772 +[2025-03-25 06:11:33,213 INFO hook.py line 748 195048] Test: [13/78] Loss 2.0866 +[2025-03-25 06:11:33,247 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6291 +[2025-03-25 06:11:33,279 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7350 +[2025-03-25 06:11:33,321 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1497 +[2025-03-25 06:11:33,356 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5988 +[2025-03-25 06:11:33,385 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7296 +[2025-03-25 06:11:33,425 INFO hook.py line 748 195048] Test: [19/78] Loss 1.3344 +[2025-03-25 06:11:33,454 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3053 +[2025-03-25 06:11:33,485 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2601 +[2025-03-25 06:11:33,524 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5199 +[2025-03-25 06:11:33,552 INFO hook.py line 748 195048] Test: [23/78] Loss 0.6935 +[2025-03-25 06:11:33,592 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9750 +[2025-03-25 06:11:33,631 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7336 +[2025-03-25 06:11:33,668 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6014 +[2025-03-25 06:11:33,713 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1880 +[2025-03-25 06:11:33,743 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4627 +[2025-03-25 06:11:33,768 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2916 +[2025-03-25 06:11:33,819 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5053 +[2025-03-25 06:11:33,875 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5486 +[2025-03-25 06:11:33,910 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6763 +[2025-03-25 06:11:33,961 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3022 +[2025-03-25 06:11:33,999 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1075 +[2025-03-25 06:11:34,033 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3468 +[2025-03-25 06:11:34,065 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0670 +[2025-03-25 06:11:34,098 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5522 +[2025-03-25 06:11:34,127 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2823 +[2025-03-25 06:11:34,181 INFO hook.py line 748 195048] Test: [39/78] Loss 1.2900 +[2025-03-25 06:11:34,224 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9262 +[2025-03-25 06:11:34,264 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0110 +[2025-03-25 06:11:34,293 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1655 +[2025-03-25 06:11:34,329 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2852 +[2025-03-25 06:11:34,380 INFO hook.py line 748 195048] Test: [44/78] Loss 0.6526 +[2025-03-25 06:11:34,408 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6046 +[2025-03-25 06:11:34,449 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8105 +[2025-03-25 06:11:34,486 INFO hook.py line 748 195048] Test: [47/78] Loss 1.7682 +[2025-03-25 06:11:34,515 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7004 +[2025-03-25 06:11:34,548 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5499 +[2025-03-25 06:11:34,582 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2426 +[2025-03-25 06:11:34,609 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1643 +[2025-03-25 06:11:34,641 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8514 +[2025-03-25 06:11:34,670 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2908 +[2025-03-25 06:11:34,717 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3030 +[2025-03-25 06:11:34,753 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0606 +[2025-03-25 06:11:34,788 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2476 +[2025-03-25 06:11:34,818 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9453 +[2025-03-25 06:11:34,841 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5790 +[2025-03-25 06:11:34,876 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7617 +[2025-03-25 06:11:34,904 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5842 +[2025-03-25 06:11:34,924 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5953 +[2025-03-25 06:11:34,953 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6066 +[2025-03-25 06:11:34,985 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1205 +[2025-03-25 06:11:35,036 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4181 +[2025-03-25 06:11:35,059 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8172 +[2025-03-25 06:11:35,096 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7579 +[2025-03-25 06:11:35,130 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3868 +[2025-03-25 06:11:35,158 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1050 +[2025-03-25 06:11:35,184 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3468 +[2025-03-25 06:11:35,237 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2529 +[2025-03-25 06:11:35,274 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8767 +[2025-03-25 06:11:35,320 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4310 +[2025-03-25 06:11:35,363 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4586 +[2025-03-25 06:11:35,401 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0391 +[2025-03-25 06:11:35,447 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7542 +[2025-03-25 06:11:35,472 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8607 +[2025-03-25 06:11:35,521 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5186 +[2025-03-25 06:11:35,544 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6193 +[2025-03-25 06:11:36,523 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:11:36,523 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:11:36,523 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:11:36,523 INFO hook.py line 689 195048] wall : 0.8138 0.9269 +[2025-03-25 06:11:36,523 INFO hook.py line 689 195048] floor : 0.9551 0.9835 +[2025-03-25 06:11:36,523 INFO hook.py line 689 195048] cabinet : 0.5580 0.6884 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] bed : 0.7415 0.8302 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] chair : 0.8653 0.9295 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] sofa : 0.7926 0.9017 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] table : 0.6910 0.7836 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] door : 0.5744 0.6962 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] window : 0.4819 0.5676 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] bookshelf : 0.7328 0.8500 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] picture : 0.2641 0.3770 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] counter : 0.5343 0.6458 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] desk : 0.5532 0.8584 +[2025-03-25 06:11:36,524 INFO hook.py line 689 195048] curtain : 0.6401 0.8332 +[2025-03-25 06:11:36,525 INFO hook.py line 689 195048] refridgerator : 0.4652 0.5336 +[2025-03-25 06:11:36,525 INFO hook.py line 689 195048] shower curtain : 0.6533 0.7660 +[2025-03-25 06:11:36,525 INFO hook.py line 689 195048] toilet : 0.8537 0.9681 +[2025-03-25 06:11:36,525 INFO hook.py line 689 195048] sink : 0.5695 0.6287 +[2025-03-25 06:11:36,525 INFO hook.py line 689 195048] bathtub : 0.8301 0.9048 +[2025-03-25 06:11:36,525 INFO hook.py line 689 195048] otherfurniture : 0.4921 0.5818 +[2025-03-25 06:11:36,525 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:11:36,525 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6531/0.7628/0.8741. +[2025-03-25 06:11:36,526 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:11:36,539 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6531 +[2025-03-25 06:11:36,540 INFO misc.py line 164 195048] Currently Best mIoU: 0.6531 +[2025-03-25 06:11:36,540 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:11:49,814 INFO hook.py line 566 195048] Train: [62/100][50/400] Data 0.002 (0.003) Batch 0.235 (0.204) Remain 00:52:59 loss: 0.2823 Lr: 1.07909e-03 +[2025-03-25 06:11:59,674 INFO hook.py line 566 195048] Train: [62/100][100/400] Data 0.003 (0.003) Batch 0.181 (0.201) Remain 00:51:51 loss: 0.1653 Lr: 1.07314e-03 +[2025-03-25 06:12:09,600 INFO hook.py line 566 195048] Train: [62/100][150/400] Data 0.003 (0.003) Batch 0.217 (0.200) Remain 00:51:29 loss: 0.2450 Lr: 1.06720e-03 +[2025-03-25 06:12:19,721 INFO hook.py line 566 195048] Train: [62/100][200/400] Data 0.003 (0.003) Batch 0.204 (0.201) Remain 00:51:29 loss: 0.5651 Lr: 1.06127e-03 +[2025-03-25 06:12:29,245 INFO hook.py line 566 195048] Train: [62/100][250/400] Data 0.002 (0.003) Batch 0.209 (0.199) Remain 00:50:47 loss: 0.4425 Lr: 1.05534e-03 +[2025-03-25 06:12:39,262 INFO hook.py line 566 195048] Train: [62/100][300/400] Data 0.002 (0.003) Batch 0.192 (0.199) Remain 00:50:42 loss: 0.4719 Lr: 1.04943e-03 +[2025-03-25 06:12:49,445 INFO hook.py line 566 195048] Train: [62/100][350/400] Data 0.002 (0.003) Batch 0.188 (0.200) Remain 00:50:43 loss: 0.4488 Lr: 1.04352e-03 +[2025-03-25 06:12:58,312 INFO hook.py line 566 195048] Train: [62/100][400/400] Data 0.001 (0.003) Batch 0.159 (0.197) Remain 00:49:50 loss: 0.2099 Lr: 1.03761e-03 +[2025-03-25 06:12:58,313 INFO misc.py line 135 195048] Train result: loss: 0.3473 +[2025-03-25 06:12:58,402 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:13:08,630 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1825 +[2025-03-25 06:13:09,292 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7729 +[2025-03-25 06:13:09,328 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3854 +[2025-03-25 06:13:09,595 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6016 +[2025-03-25 06:13:09,642 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5804 +[2025-03-25 06:13:09,689 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4475 +[2025-03-25 06:13:09,741 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5786 +[2025-03-25 06:13:09,774 INFO hook.py line 748 195048] Test: [8/78] Loss 0.7461 +[2025-03-25 06:13:09,814 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0452 +[2025-03-25 06:13:09,844 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8150 +[2025-03-25 06:13:09,886 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7251 +[2025-03-25 06:13:09,918 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0179 +[2025-03-25 06:13:09,960 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5268 +[2025-03-25 06:13:09,995 INFO hook.py line 748 195048] Test: [14/78] Loss 2.2425 +[2025-03-25 06:13:10,028 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7790 +[2025-03-25 06:13:10,077 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1220 +[2025-03-25 06:13:10,112 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5839 +[2025-03-25 06:13:10,148 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8441 +[2025-03-25 06:13:10,189 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4258 +[2025-03-25 06:13:10,218 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0947 +[2025-03-25 06:13:10,250 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2319 +[2025-03-25 06:13:10,287 INFO hook.py line 748 195048] Test: [22/78] Loss 1.8779 +[2025-03-25 06:13:10,312 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7937 +[2025-03-25 06:13:10,351 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9506 +[2025-03-25 06:13:10,391 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9164 +[2025-03-25 06:13:10,429 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5653 +[2025-03-25 06:13:10,477 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4601 +[2025-03-25 06:13:10,506 INFO hook.py line 748 195048] Test: [28/78] Loss 0.9594 +[2025-03-25 06:13:10,539 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2860 +[2025-03-25 06:13:10,589 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4989 +[2025-03-25 06:13:10,648 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5540 +[2025-03-25 06:13:10,686 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8588 +[2025-03-25 06:13:10,734 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2964 +[2025-03-25 06:13:10,778 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2474 +[2025-03-25 06:13:10,812 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5626 +[2025-03-25 06:13:10,844 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9908 +[2025-03-25 06:13:10,882 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5421 +[2025-03-25 06:13:10,912 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3183 +[2025-03-25 06:13:10,967 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5073 +[2025-03-25 06:13:11,011 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0092 +[2025-03-25 06:13:11,054 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9512 +[2025-03-25 06:13:11,083 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3771 +[2025-03-25 06:13:11,120 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2917 +[2025-03-25 06:13:11,171 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5376 +[2025-03-25 06:13:11,202 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5897 +[2025-03-25 06:13:11,244 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8905 +[2025-03-25 06:13:11,280 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9132 +[2025-03-25 06:13:11,319 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7255 +[2025-03-25 06:13:11,350 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7654 +[2025-03-25 06:13:11,380 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1882 +[2025-03-25 06:13:11,414 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2712 +[2025-03-25 06:13:11,447 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8113 +[2025-03-25 06:13:11,483 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5107 +[2025-03-25 06:13:11,517 INFO hook.py line 748 195048] Test: [54/78] Loss 1.4872 +[2025-03-25 06:13:11,554 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0644 +[2025-03-25 06:13:11,589 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2602 +[2025-03-25 06:13:11,618 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7962 +[2025-03-25 06:13:11,641 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6668 +[2025-03-25 06:13:11,675 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7436 +[2025-03-25 06:13:11,704 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7094 +[2025-03-25 06:13:11,724 INFO hook.py line 748 195048] Test: [61/78] Loss 0.9826 +[2025-03-25 06:13:11,753 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5713 +[2025-03-25 06:13:11,785 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3726 +[2025-03-25 06:13:11,835 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5510 +[2025-03-25 06:13:11,859 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8411 +[2025-03-25 06:13:11,896 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6527 +[2025-03-25 06:13:11,930 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4193 +[2025-03-25 06:13:11,959 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1060 +[2025-03-25 06:13:11,985 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3333 +[2025-03-25 06:13:12,037 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4281 +[2025-03-25 06:13:12,075 INFO hook.py line 748 195048] Test: [71/78] Loss 1.2094 +[2025-03-25 06:13:12,120 INFO hook.py line 748 195048] Test: [72/78] Loss 0.7584 +[2025-03-25 06:13:12,164 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6870 +[2025-03-25 06:13:12,201 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8273 +[2025-03-25 06:13:12,247 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6813 +[2025-03-25 06:13:12,273 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6732 +[2025-03-25 06:13:12,322 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3737 +[2025-03-25 06:13:12,346 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6508 +[2025-03-25 06:13:13,384 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:13:13,384 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:13:13,385 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] wall : 0.8088 0.9209 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] floor : 0.9579 0.9807 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] cabinet : 0.5653 0.7608 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] bed : 0.7289 0.8250 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] chair : 0.8467 0.9276 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] sofa : 0.7761 0.9179 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] table : 0.6566 0.7471 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] door : 0.5665 0.7212 +[2025-03-25 06:13:13,385 INFO hook.py line 689 195048] window : 0.4863 0.6095 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] bookshelf : 0.7123 0.7586 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] picture : 0.2533 0.3588 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] counter : 0.5795 0.6712 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] desk : 0.5663 0.7918 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] curtain : 0.6788 0.8317 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] refridgerator : 0.3624 0.3799 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] shower curtain : 0.6568 0.7446 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] toilet : 0.8815 0.9441 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] sink : 0.5766 0.7068 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] bathtub : 0.7814 0.9270 +[2025-03-25 06:13:13,386 INFO hook.py line 689 195048] otherfurniture : 0.4727 0.5654 +[2025-03-25 06:13:13,386 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:13:13,387 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6457/0.7545/0.8701. +[2025-03-25 06:13:13,387 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:13:13,398 INFO misc.py line 164 195048] Currently Best mIoU: 0.6531 +[2025-03-25 06:13:13,399 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:13:26,724 INFO hook.py line 566 195048] Train: [63/100][50/400] Data 0.002 (0.003) Batch 0.222 (0.202) Remain 00:51:06 loss: 0.3200 Lr: 1.03172e-03 +[2025-03-25 06:13:36,582 INFO hook.py line 566 195048] Train: [63/100][100/400] Data 0.003 (0.003) Batch 0.209 (0.200) Remain 00:50:15 loss: 0.1153 Lr: 1.02583e-03 +[2025-03-25 06:13:46,511 INFO hook.py line 566 195048] Train: [63/100][150/400] Data 0.002 (0.003) Batch 0.191 (0.199) Remain 00:49:59 loss: 0.3836 Lr: 1.01996e-03 +[2025-03-25 06:13:56,386 INFO hook.py line 566 195048] Train: [63/100][200/400] Data 0.002 (0.003) Batch 0.207 (0.199) Remain 00:49:43 loss: 0.6349 Lr: 1.01409e-03 +[2025-03-25 06:14:06,334 INFO hook.py line 566 195048] Train: [63/100][250/400] Data 0.002 (0.003) Batch 0.185 (0.199) Remain 00:49:33 loss: 0.1077 Lr: 1.00823e-03 +[2025-03-25 06:14:16,181 INFO hook.py line 566 195048] Train: [63/100][300/400] Data 0.002 (0.003) Batch 0.216 (0.199) Remain 00:49:18 loss: 0.1594 Lr: 1.00237e-03 +[2025-03-25 06:14:26,226 INFO hook.py line 566 195048] Train: [63/100][350/400] Data 0.003 (0.003) Batch 0.194 (0.199) Remain 00:49:13 loss: 0.6732 Lr: 9.96530e-04 +[2025-03-25 06:14:35,221 INFO hook.py line 566 195048] Train: [63/100][400/400] Data 0.001 (0.003) Batch 0.155 (0.197) Remain 00:48:28 loss: 0.5881 Lr: 9.90694e-04 +[2025-03-25 06:14:35,221 INFO misc.py line 135 195048] Train result: loss: 0.3548 +[2025-03-25 06:14:35,304 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:14:45,860 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1407 +[2025-03-25 06:14:45,898 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5301 +[2025-03-25 06:14:46,087 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3665 +[2025-03-25 06:14:46,131 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5436 +[2025-03-25 06:14:46,166 INFO hook.py line 748 195048] Test: [5/78] Loss 0.6964 +[2025-03-25 06:14:46,217 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6073 +[2025-03-25 06:14:46,264 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5240 +[2025-03-25 06:14:46,288 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3193 +[2025-03-25 06:14:46,333 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0791 +[2025-03-25 06:14:46,579 INFO hook.py line 748 195048] Test: [10/78] Loss 1.0595 +[2025-03-25 06:14:46,779 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5873 +[2025-03-25 06:14:46,870 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3335 +[2025-03-25 06:14:46,913 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5085 +[2025-03-25 06:14:46,949 INFO hook.py line 748 195048] Test: [14/78] Loss 2.2696 +[2025-03-25 06:14:46,982 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0836 +[2025-03-25 06:14:47,023 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2258 +[2025-03-25 06:14:47,058 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5246 +[2025-03-25 06:14:47,091 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9641 +[2025-03-25 06:14:47,130 INFO hook.py line 748 195048] Test: [19/78] Loss 1.3060 +[2025-03-25 06:14:47,162 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3149 +[2025-03-25 06:14:47,195 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3042 +[2025-03-25 06:14:47,241 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4107 +[2025-03-25 06:14:47,269 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7926 +[2025-03-25 06:14:47,312 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9464 +[2025-03-25 06:14:47,351 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1480 +[2025-03-25 06:14:47,388 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8415 +[2025-03-25 06:14:47,434 INFO hook.py line 748 195048] Test: [27/78] Loss 1.7667 +[2025-03-25 06:14:47,463 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3253 +[2025-03-25 06:14:47,495 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3101 +[2025-03-25 06:14:47,543 INFO hook.py line 748 195048] Test: [30/78] Loss 0.7876 +[2025-03-25 06:14:47,598 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6323 +[2025-03-25 06:14:47,636 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8917 +[2025-03-25 06:14:47,685 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3839 +[2025-03-25 06:14:47,721 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1084 +[2025-03-25 06:14:47,758 INFO hook.py line 748 195048] Test: [35/78] Loss 0.6529 +[2025-03-25 06:14:47,789 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2126 +[2025-03-25 06:14:47,821 INFO hook.py line 748 195048] Test: [37/78] Loss 0.7116 +[2025-03-25 06:14:47,852 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2586 +[2025-03-25 06:14:47,906 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3243 +[2025-03-25 06:14:47,947 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8983 +[2025-03-25 06:14:47,985 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9772 +[2025-03-25 06:14:48,008 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2866 +[2025-03-25 06:14:48,040 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2130 +[2025-03-25 06:14:48,094 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5633 +[2025-03-25 06:14:48,123 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6155 +[2025-03-25 06:14:48,165 INFO hook.py line 748 195048] Test: [46/78] Loss 0.6801 +[2025-03-25 06:14:48,201 INFO hook.py line 748 195048] Test: [47/78] Loss 2.1352 +[2025-03-25 06:14:48,234 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7312 +[2025-03-25 06:14:48,266 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5589 +[2025-03-25 06:14:48,299 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0722 +[2025-03-25 06:14:48,325 INFO hook.py line 748 195048] Test: [51/78] Loss 1.4573 +[2025-03-25 06:14:48,359 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0651 +[2025-03-25 06:14:48,386 INFO hook.py line 748 195048] Test: [53/78] Loss 0.6914 +[2025-03-25 06:14:48,420 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0074 +[2025-03-25 06:14:48,455 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0657 +[2025-03-25 06:14:48,491 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2900 +[2025-03-25 06:14:48,520 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7604 +[2025-03-25 06:14:48,542 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6612 +[2025-03-25 06:14:48,577 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9784 +[2025-03-25 06:14:48,605 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5803 +[2025-03-25 06:14:48,625 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6287 +[2025-03-25 06:14:48,655 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6968 +[2025-03-25 06:14:48,687 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3790 +[2025-03-25 06:14:48,737 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6666 +[2025-03-25 06:14:48,761 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8818 +[2025-03-25 06:14:48,797 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6921 +[2025-03-25 06:14:48,832 INFO hook.py line 748 195048] Test: [67/78] Loss 0.6077 +[2025-03-25 06:14:48,861 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0742 +[2025-03-25 06:14:48,887 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3312 +[2025-03-25 06:14:48,939 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5865 +[2025-03-25 06:14:48,977 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7375 +[2025-03-25 06:14:49,023 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3408 +[2025-03-25 06:14:49,066 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5857 +[2025-03-25 06:14:49,103 INFO hook.py line 748 195048] Test: [74/78] Loss 1.9091 +[2025-03-25 06:14:49,149 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8171 +[2025-03-25 06:14:49,174 INFO hook.py line 748 195048] Test: [76/78] Loss 1.1196 +[2025-03-25 06:14:49,223 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3926 +[2025-03-25 06:14:49,247 INFO hook.py line 748 195048] Test: [78/78] Loss 0.7065 +[2025-03-25 06:14:50,278 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:14:50,278 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:14:50,278 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:14:50,278 INFO hook.py line 689 195048] wall : 0.8074 0.9264 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] floor : 0.9552 0.9756 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] cabinet : 0.5572 0.7022 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] bed : 0.7117 0.8240 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] chair : 0.8796 0.9242 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] sofa : 0.8167 0.9129 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] table : 0.6592 0.7504 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] door : 0.5757 0.7427 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] window : 0.4852 0.6142 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] bookshelf : 0.7102 0.8607 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] picture : 0.2273 0.3936 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] counter : 0.5393 0.6551 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] desk : 0.5544 0.7426 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] curtain : 0.6302 0.6910 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] refridgerator : 0.4398 0.5224 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] shower curtain : 0.5848 0.6428 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] toilet : 0.8610 0.9300 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] sink : 0.5860 0.6959 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] bathtub : 0.8116 0.9062 +[2025-03-25 06:14:50,279 INFO hook.py line 689 195048] otherfurniture : 0.4972 0.6025 +[2025-03-25 06:14:50,279 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:14:50,279 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6445/0.7508/0.8705. +[2025-03-25 06:14:50,280 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:14:50,290 INFO misc.py line 164 195048] Currently Best mIoU: 0.6531 +[2025-03-25 06:14:50,291 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:15:03,645 INFO hook.py line 566 195048] Train: [64/100][50/400] Data 0.002 (0.003) Batch 0.212 (0.202) Remain 00:49:43 loss: 0.2941 Lr: 9.84867e-04 +[2025-03-25 06:15:13,784 INFO hook.py line 566 195048] Train: [64/100][100/400] Data 0.003 (0.003) Batch 0.198 (0.203) Remain 00:49:37 loss: 0.2465 Lr: 9.79049e-04 +[2025-03-25 06:15:23,802 INFO hook.py line 566 195048] Train: [64/100][150/400] Data 0.003 (0.003) Batch 0.219 (0.202) Remain 00:49:16 loss: 0.2528 Lr: 9.73240e-04 +[2025-03-25 06:15:33,656 INFO hook.py line 566 195048] Train: [64/100][200/400] Data 0.003 (0.003) Batch 0.189 (0.201) Remain 00:48:48 loss: 0.3853 Lr: 9.67440e-04 +[2025-03-25 06:15:43,489 INFO hook.py line 566 195048] Train: [64/100][250/400] Data 0.003 (0.003) Batch 0.209 (0.200) Remain 00:48:27 loss: 0.2693 Lr: 9.61649e-04 +[2025-03-25 06:15:53,316 INFO hook.py line 566 195048] Train: [64/100][300/400] Data 0.002 (0.003) Batch 0.203 (0.199) Remain 00:48:09 loss: 0.1543 Lr: 9.55867e-04 +[2025-03-25 06:16:03,209 INFO hook.py line 566 195048] Train: [64/100][350/400] Data 0.004 (0.003) Batch 0.199 (0.199) Remain 00:47:56 loss: 0.1881 Lr: 9.50094e-04 +[2025-03-25 06:16:12,389 INFO hook.py line 566 195048] Train: [64/100][400/400] Data 0.001 (0.003) Batch 0.139 (0.197) Remain 00:47:18 loss: 0.3497 Lr: 9.44331e-04 +[2025-03-25 06:16:12,389 INFO misc.py line 135 195048] Train result: loss: 0.3202 +[2025-03-25 06:16:12,485 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:16:20,499 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1912 +[2025-03-25 06:16:23,073 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7256 +[2025-03-25 06:16:23,112 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4164 +[2025-03-25 06:16:23,699 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5515 +[2025-03-25 06:16:23,752 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5999 +[2025-03-25 06:16:23,801 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6360 +[2025-03-25 06:16:23,848 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5342 +[2025-03-25 06:16:23,872 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4919 +[2025-03-25 06:16:23,916 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9719 +[2025-03-25 06:16:23,948 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7770 +[2025-03-25 06:16:23,990 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6071 +[2025-03-25 06:16:24,019 INFO hook.py line 748 195048] Test: [12/78] Loss 0.9376 +[2025-03-25 06:16:24,062 INFO hook.py line 748 195048] Test: [13/78] Loss 2.2313 +[2025-03-25 06:16:24,097 INFO hook.py line 748 195048] Test: [14/78] Loss 2.3749 +[2025-03-25 06:16:24,130 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9851 +[2025-03-25 06:16:24,172 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1212 +[2025-03-25 06:16:24,211 INFO hook.py line 748 195048] Test: [17/78] Loss 0.4938 +[2025-03-25 06:16:24,247 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7269 +[2025-03-25 06:16:24,289 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1190 +[2025-03-25 06:16:24,318 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1120 +[2025-03-25 06:16:24,350 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2833 +[2025-03-25 06:16:24,387 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4786 +[2025-03-25 06:16:24,411 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8823 +[2025-03-25 06:16:24,451 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9413 +[2025-03-25 06:16:24,488 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9500 +[2025-03-25 06:16:24,524 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6404 +[2025-03-25 06:16:24,569 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3229 +[2025-03-25 06:16:24,602 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5182 +[2025-03-25 06:16:24,627 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3111 +[2025-03-25 06:16:24,677 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5487 +[2025-03-25 06:16:24,734 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5731 +[2025-03-25 06:16:24,766 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7425 +[2025-03-25 06:16:24,814 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2533 +[2025-03-25 06:16:24,851 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0409 +[2025-03-25 06:16:24,887 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3192 +[2025-03-25 06:16:24,918 INFO hook.py line 748 195048] Test: [36/78] Loss 0.9226 +[2025-03-25 06:16:24,951 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5006 +[2025-03-25 06:16:24,989 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2321 +[2025-03-25 06:16:25,043 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5465 +[2025-03-25 06:16:25,085 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0160 +[2025-03-25 06:16:25,126 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0540 +[2025-03-25 06:16:25,158 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2494 +[2025-03-25 06:16:25,196 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3413 +[2025-03-25 06:16:25,247 INFO hook.py line 748 195048] Test: [44/78] Loss 0.4574 +[2025-03-25 06:16:25,275 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6596 +[2025-03-25 06:16:25,316 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9354 +[2025-03-25 06:16:25,353 INFO hook.py line 748 195048] Test: [47/78] Loss 2.8345 +[2025-03-25 06:16:25,384 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7547 +[2025-03-25 06:16:25,418 INFO hook.py line 748 195048] Test: [49/78] Loss 1.8667 +[2025-03-25 06:16:25,456 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1352 +[2025-03-25 06:16:25,485 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0724 +[2025-03-25 06:16:25,523 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1157 +[2025-03-25 06:16:25,547 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3431 +[2025-03-25 06:16:25,582 INFO hook.py line 748 195048] Test: [54/78] Loss 1.9238 +[2025-03-25 06:16:25,617 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0538 +[2025-03-25 06:16:25,653 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3105 +[2025-03-25 06:16:25,681 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8175 +[2025-03-25 06:16:25,704 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5754 +[2025-03-25 06:16:25,739 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7940 +[2025-03-25 06:16:25,767 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6948 +[2025-03-25 06:16:25,787 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6696 +[2025-03-25 06:16:25,816 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5452 +[2025-03-25 06:16:25,848 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1764 +[2025-03-25 06:16:25,898 INFO hook.py line 748 195048] Test: [64/78] Loss 1.6288 +[2025-03-25 06:16:25,922 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8593 +[2025-03-25 06:16:25,959 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7951 +[2025-03-25 06:16:25,993 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4905 +[2025-03-25 06:16:26,022 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1021 +[2025-03-25 06:16:26,048 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3137 +[2025-03-25 06:16:26,100 INFO hook.py line 748 195048] Test: [70/78] Loss 1.6491 +[2025-03-25 06:16:26,138 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9532 +[2025-03-25 06:16:26,183 INFO hook.py line 748 195048] Test: [72/78] Loss 0.6246 +[2025-03-25 06:16:26,227 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5120 +[2025-03-25 06:16:26,264 INFO hook.py line 748 195048] Test: [74/78] Loss 1.7967 +[2025-03-25 06:16:26,310 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8559 +[2025-03-25 06:16:26,334 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0391 +[2025-03-25 06:16:26,384 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3662 +[2025-03-25 06:16:26,407 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8826 +[2025-03-25 06:16:27,393 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:16:27,394 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:16:27,394 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] wall : 0.8125 0.9324 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] floor : 0.9561 0.9801 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] cabinet : 0.5460 0.6836 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] bed : 0.7002 0.8454 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] chair : 0.8594 0.9504 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] sofa : 0.8159 0.8763 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] table : 0.6842 0.7468 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] door : 0.5644 0.7048 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] window : 0.4844 0.5815 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] bookshelf : 0.7381 0.8134 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] picture : 0.2162 0.3470 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] counter : 0.5556 0.6589 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] desk : 0.5793 0.7636 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] curtain : 0.6502 0.7382 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] refridgerator : 0.4019 0.5351 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] shower curtain : 0.6175 0.7507 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] toilet : 0.8731 0.9439 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] sink : 0.5525 0.6979 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] bathtub : 0.8225 0.9313 +[2025-03-25 06:16:27,394 INFO hook.py line 689 195048] otherfurniture : 0.4852 0.6004 +[2025-03-25 06:16:27,394 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:16:27,395 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6458/0.7541/0.8719. +[2025-03-25 06:16:27,395 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:16:27,409 INFO misc.py line 164 195048] Currently Best mIoU: 0.6531 +[2025-03-25 06:16:27,410 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:16:40,962 INFO hook.py line 566 195048] Train: [65/100][50/400] Data 0.003 (0.003) Batch 0.206 (0.198) Remain 00:47:25 loss: 0.4061 Lr: 9.38577e-04 +[2025-03-25 06:16:50,864 INFO hook.py line 566 195048] Train: [65/100][100/400] Data 0.003 (0.003) Batch 0.200 (0.198) Remain 00:47:13 loss: 0.2760 Lr: 9.32833e-04 +[2025-03-25 06:17:00,723 INFO hook.py line 566 195048] Train: [65/100][150/400] Data 0.004 (0.003) Batch 0.170 (0.198) Remain 00:46:59 loss: 0.1215 Lr: 9.27099e-04 +[2025-03-25 06:17:10,589 INFO hook.py line 566 195048] Train: [65/100][200/400] Data 0.002 (0.003) Batch 0.194 (0.198) Remain 00:46:47 loss: 0.2237 Lr: 9.21374e-04 +[2025-03-25 06:17:20,533 INFO hook.py line 566 195048] Train: [65/100][250/400] Data 0.003 (0.003) Batch 0.199 (0.198) Remain 00:46:40 loss: 0.3635 Lr: 9.15660e-04 +[2025-03-25 06:17:30,541 INFO hook.py line 566 195048] Train: [65/100][300/400] Data 0.002 (0.003) Batch 0.171 (0.198) Remain 00:46:36 loss: 0.4527 Lr: 9.09955e-04 +[2025-03-25 06:17:40,658 INFO hook.py line 566 195048] Train: [65/100][350/400] Data 0.003 (0.003) Batch 0.203 (0.199) Remain 00:46:34 loss: 0.3618 Lr: 9.04260e-04 +[2025-03-25 06:17:49,583 INFO hook.py line 566 195048] Train: [65/100][400/400] Data 0.001 (0.003) Batch 0.157 (0.196) Remain 00:45:48 loss: 0.6728 Lr: 8.98576e-04 +[2025-03-25 06:17:49,584 INFO misc.py line 135 195048] Train result: loss: 0.3289 +[2025-03-25 06:17:49,685 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:18:00,449 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1943 +[2025-03-25 06:18:00,495 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8362 +[2025-03-25 06:18:00,529 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5672 +[2025-03-25 06:18:00,828 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5930 +[2025-03-25 06:18:00,858 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4169 +[2025-03-25 06:18:00,909 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6278 +[2025-03-25 06:18:00,955 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7361 +[2025-03-25 06:18:00,979 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3665 +[2025-03-25 06:18:01,020 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0637 +[2025-03-25 06:18:01,054 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9338 +[2025-03-25 06:18:01,098 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6812 +[2025-03-25 06:18:01,127 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2678 +[2025-03-25 06:18:01,170 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4301 +[2025-03-25 06:18:01,212 INFO hook.py line 748 195048] Test: [14/78] Loss 2.0618 +[2025-03-25 06:18:01,244 INFO hook.py line 748 195048] Test: [15/78] Loss 2.2935 +[2025-03-25 06:18:01,286 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1794 +[2025-03-25 06:18:01,321 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5434 +[2025-03-25 06:18:01,358 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0742 +[2025-03-25 06:18:01,399 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9927 +[2025-03-25 06:18:01,427 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3165 +[2025-03-25 06:18:01,460 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2737 +[2025-03-25 06:18:01,496 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4415 +[2025-03-25 06:18:01,525 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9667 +[2025-03-25 06:18:01,565 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9207 +[2025-03-25 06:18:01,603 INFO hook.py line 748 195048] Test: [25/78] Loss 1.3922 +[2025-03-25 06:18:01,651 INFO hook.py line 748 195048] Test: [26/78] Loss 0.8035 +[2025-03-25 06:18:01,697 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6964 +[2025-03-25 06:18:01,727 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4199 +[2025-03-25 06:18:01,752 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3068 +[2025-03-25 06:18:01,803 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6868 +[2025-03-25 06:18:01,857 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6368 +[2025-03-25 06:18:01,888 INFO hook.py line 748 195048] Test: [32/78] Loss 0.9112 +[2025-03-25 06:18:01,936 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3018 +[2025-03-25 06:18:01,980 INFO hook.py line 748 195048] Test: [34/78] Loss 1.3544 +[2025-03-25 06:18:02,014 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3838 +[2025-03-25 06:18:02,045 INFO hook.py line 748 195048] Test: [36/78] Loss 1.5484 +[2025-03-25 06:18:02,079 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6655 +[2025-03-25 06:18:02,108 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3659 +[2025-03-25 06:18:02,162 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6554 +[2025-03-25 06:18:02,203 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9476 +[2025-03-25 06:18:02,244 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0031 +[2025-03-25 06:18:02,277 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2791 +[2025-03-25 06:18:02,311 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3232 +[2025-03-25 06:18:02,362 INFO hook.py line 748 195048] Test: [44/78] Loss 0.4489 +[2025-03-25 06:18:02,391 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6726 +[2025-03-25 06:18:02,440 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8055 +[2025-03-25 06:18:02,484 INFO hook.py line 748 195048] Test: [47/78] Loss 1.8131 +[2025-03-25 06:18:02,515 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7566 +[2025-03-25 06:18:02,545 INFO hook.py line 748 195048] Test: [49/78] Loss 1.9914 +[2025-03-25 06:18:02,585 INFO hook.py line 748 195048] Test: [50/78] Loss 1.8626 +[2025-03-25 06:18:02,613 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8065 +[2025-03-25 06:18:02,649 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8725 +[2025-03-25 06:18:02,677 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2887 +[2025-03-25 06:18:02,712 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4664 +[2025-03-25 06:18:02,747 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0489 +[2025-03-25 06:18:02,782 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2522 +[2025-03-25 06:18:02,811 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8385 +[2025-03-25 06:18:02,835 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6979 +[2025-03-25 06:18:02,870 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7961 +[2025-03-25 06:18:02,898 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7040 +[2025-03-25 06:18:02,918 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7365 +[2025-03-25 06:18:02,947 INFO hook.py line 748 195048] Test: [62/78] Loss 0.7007 +[2025-03-25 06:18:02,979 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3087 +[2025-03-25 06:18:03,029 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2539 +[2025-03-25 06:18:03,053 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8893 +[2025-03-25 06:18:03,090 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8015 +[2025-03-25 06:18:03,124 INFO hook.py line 748 195048] Test: [67/78] Loss 0.2956 +[2025-03-25 06:18:03,152 INFO hook.py line 748 195048] Test: [68/78] Loss 1.3976 +[2025-03-25 06:18:03,179 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3333 +[2025-03-25 06:18:03,231 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3302 +[2025-03-25 06:18:03,269 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1582 +[2025-03-25 06:18:03,314 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4560 +[2025-03-25 06:18:03,357 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4604 +[2025-03-25 06:18:03,395 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1793 +[2025-03-25 06:18:03,441 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6942 +[2025-03-25 06:18:03,466 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0208 +[2025-03-25 06:18:03,515 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3001 +[2025-03-25 06:18:03,539 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6867 +[2025-03-25 06:18:04,563 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:18:04,564 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:18:04,564 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:18:04,564 INFO hook.py line 689 195048] wall : 0.8009 0.9403 +[2025-03-25 06:18:04,564 INFO hook.py line 689 195048] floor : 0.9580 0.9821 +[2025-03-25 06:18:04,564 INFO hook.py line 689 195048] cabinet : 0.5558 0.6833 +[2025-03-25 06:18:04,564 INFO hook.py line 689 195048] bed : 0.7248 0.7806 +[2025-03-25 06:18:04,564 INFO hook.py line 689 195048] chair : 0.8661 0.9083 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] sofa : 0.7809 0.9160 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] table : 0.6499 0.8381 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] door : 0.5560 0.6276 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] window : 0.4682 0.5775 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] bookshelf : 0.7389 0.8088 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] picture : 0.2389 0.3829 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] counter : 0.5295 0.6501 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] desk : 0.4915 0.6071 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] curtain : 0.6180 0.7858 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] refridgerator : 0.4185 0.4682 +[2025-03-25 06:18:04,565 INFO hook.py line 689 195048] shower curtain : 0.4728 0.5024 +[2025-03-25 06:18:04,566 INFO hook.py line 689 195048] toilet : 0.8780 0.9438 +[2025-03-25 06:18:04,566 INFO hook.py line 689 195048] sink : 0.5538 0.6407 +[2025-03-25 06:18:04,566 INFO hook.py line 689 195048] bathtub : 0.8713 0.8974 +[2025-03-25 06:18:04,566 INFO hook.py line 689 195048] otherfurniture : 0.4748 0.5979 +[2025-03-25 06:18:04,566 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:18:04,566 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6323/0.7269/0.8672. +[2025-03-25 06:18:04,567 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:18:04,582 INFO misc.py line 164 195048] Currently Best mIoU: 0.6531 +[2025-03-25 06:18:04,583 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:18:17,978 INFO hook.py line 566 195048] Train: [66/100][50/400] Data 0.002 (0.003) Batch 0.182 (0.197) Remain 00:45:54 loss: 0.4598 Lr: 8.92901e-04 +[2025-03-25 06:18:27,709 INFO hook.py line 566 195048] Train: [66/100][100/400] Data 0.002 (0.003) Batch 0.196 (0.196) Remain 00:45:24 loss: 0.2794 Lr: 8.87238e-04 +[2025-03-25 06:18:37,457 INFO hook.py line 566 195048] Train: [66/100][150/400] Data 0.003 (0.003) Batch 0.203 (0.196) Remain 00:45:09 loss: 0.1144 Lr: 8.81584e-04 +[2025-03-25 06:18:47,371 INFO hook.py line 566 195048] Train: [66/100][200/400] Data 0.002 (0.003) Batch 0.217 (0.196) Remain 00:45:09 loss: 0.1343 Lr: 8.75942e-04 +[2025-03-25 06:18:57,457 INFO hook.py line 566 195048] Train: [66/100][250/400] Data 0.002 (0.003) Batch 0.196 (0.197) Remain 00:45:14 loss: 0.2680 Lr: 8.70309e-04 +[2025-03-25 06:19:07,501 INFO hook.py line 566 195048] Train: [66/100][300/400] Data 0.004 (0.003) Batch 0.212 (0.198) Remain 00:45:12 loss: 0.2954 Lr: 8.64688e-04 +[2025-03-25 06:19:17,384 INFO hook.py line 566 195048] Train: [66/100][350/400] Data 0.004 (0.003) Batch 0.201 (0.198) Remain 00:45:01 loss: 0.1443 Lr: 8.59078e-04 +[2025-03-25 06:19:26,423 INFO hook.py line 566 195048] Train: [66/100][400/400] Data 0.001 (0.003) Batch 0.173 (0.196) Remain 00:44:22 loss: 0.3637 Lr: 8.53478e-04 +[2025-03-25 06:19:26,423 INFO misc.py line 135 195048] Train result: loss: 0.3130 +[2025-03-25 06:19:26,516 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:19:37,013 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2196 +[2025-03-25 06:19:37,050 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6552 +[2025-03-25 06:19:37,082 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3902 +[2025-03-25 06:19:37,223 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5146 +[2025-03-25 06:19:37,259 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3873 +[2025-03-25 06:19:37,319 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6661 +[2025-03-25 06:19:37,446 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5329 +[2025-03-25 06:19:37,472 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3834 +[2025-03-25 06:19:37,516 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0035 +[2025-03-25 06:19:37,545 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5540 +[2025-03-25 06:19:37,586 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6495 +[2025-03-25 06:19:37,617 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2652 +[2025-03-25 06:19:37,660 INFO hook.py line 748 195048] Test: [13/78] Loss 1.5297 +[2025-03-25 06:19:37,704 INFO hook.py line 748 195048] Test: [14/78] Loss 1.8998 +[2025-03-25 06:19:37,736 INFO hook.py line 748 195048] Test: [15/78] Loss 2.2749 +[2025-03-25 06:19:37,778 INFO hook.py line 748 195048] Test: [16/78] Loss 0.0986 +[2025-03-25 06:19:37,813 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5760 +[2025-03-25 06:19:37,845 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9697 +[2025-03-25 06:19:37,886 INFO hook.py line 748 195048] Test: [19/78] Loss 1.4268 +[2025-03-25 06:19:37,915 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4418 +[2025-03-25 06:19:37,947 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3065 +[2025-03-25 06:19:37,984 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4243 +[2025-03-25 06:19:38,011 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8114 +[2025-03-25 06:19:38,050 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9618 +[2025-03-25 06:19:38,089 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1122 +[2025-03-25 06:19:38,127 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6614 +[2025-03-25 06:19:38,172 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6830 +[2025-03-25 06:19:38,205 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3519 +[2025-03-25 06:19:38,230 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3185 +[2025-03-25 06:19:38,280 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6267 +[2025-03-25 06:19:38,335 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4609 +[2025-03-25 06:19:38,366 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8248 +[2025-03-25 06:19:38,415 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2995 +[2025-03-25 06:19:38,454 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0516 +[2025-03-25 06:19:38,491 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3689 +[2025-03-25 06:19:38,525 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1494 +[2025-03-25 06:19:38,557 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5325 +[2025-03-25 06:19:38,588 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2646 +[2025-03-25 06:19:38,642 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5212 +[2025-03-25 06:19:38,684 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9206 +[2025-03-25 06:19:38,722 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0007 +[2025-03-25 06:19:38,750 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2255 +[2025-03-25 06:19:38,782 INFO hook.py line 748 195048] Test: [43/78] Loss 0.4046 +[2025-03-25 06:19:38,833 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5219 +[2025-03-25 06:19:38,864 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4621 +[2025-03-25 06:19:38,906 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8570 +[2025-03-25 06:19:38,942 INFO hook.py line 748 195048] Test: [47/78] Loss 2.4733 +[2025-03-25 06:19:38,974 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7463 +[2025-03-25 06:19:39,004 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5229 +[2025-03-25 06:19:39,037 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0369 +[2025-03-25 06:19:39,066 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2272 +[2025-03-25 06:19:39,100 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9027 +[2025-03-25 06:19:39,128 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3669 +[2025-03-25 06:19:39,165 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2419 +[2025-03-25 06:19:39,199 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0583 +[2025-03-25 06:19:39,235 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2679 +[2025-03-25 06:19:39,264 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8850 +[2025-03-25 06:19:39,287 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5198 +[2025-03-25 06:19:39,322 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8977 +[2025-03-25 06:19:39,350 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7612 +[2025-03-25 06:19:39,370 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6280 +[2025-03-25 06:19:39,399 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5557 +[2025-03-25 06:19:39,431 INFO hook.py line 748 195048] Test: [63/78] Loss 1.7552 +[2025-03-25 06:19:39,481 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4634 +[2025-03-25 06:19:39,504 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9155 +[2025-03-25 06:19:39,541 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7236 +[2025-03-25 06:19:39,576 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3743 +[2025-03-25 06:19:39,604 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9509 +[2025-03-25 06:19:39,630 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3630 +[2025-03-25 06:19:39,682 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4522 +[2025-03-25 06:19:39,719 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9821 +[2025-03-25 06:19:39,765 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5445 +[2025-03-25 06:19:39,809 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4062 +[2025-03-25 06:19:39,846 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1252 +[2025-03-25 06:19:39,892 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6512 +[2025-03-25 06:19:39,917 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9808 +[2025-03-25 06:19:39,967 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4275 +[2025-03-25 06:19:39,990 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6882 +[2025-03-25 06:19:41,026 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:19:41,027 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:19:41,027 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:19:41,027 INFO hook.py line 689 195048] wall : 0.8155 0.9164 +[2025-03-25 06:19:41,027 INFO hook.py line 689 195048] floor : 0.9547 0.9809 +[2025-03-25 06:19:41,027 INFO hook.py line 689 195048] cabinet : 0.5588 0.6768 +[2025-03-25 06:19:41,027 INFO hook.py line 689 195048] bed : 0.7284 0.8315 +[2025-03-25 06:19:41,027 INFO hook.py line 689 195048] chair : 0.8691 0.9276 +[2025-03-25 06:19:41,027 INFO hook.py line 689 195048] sofa : 0.7754 0.9218 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] table : 0.6737 0.7704 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] door : 0.5773 0.7330 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] window : 0.4951 0.6557 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] bookshelf : 0.7230 0.8238 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] picture : 0.2500 0.4210 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] counter : 0.5760 0.7236 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] desk : 0.5448 0.7109 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] curtain : 0.6448 0.7576 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] refridgerator : 0.4274 0.5817 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] shower curtain : 0.5980 0.6776 +[2025-03-25 06:19:41,028 INFO hook.py line 689 195048] toilet : 0.8692 0.9549 +[2025-03-25 06:19:41,029 INFO hook.py line 689 195048] sink : 0.5688 0.6452 +[2025-03-25 06:19:41,029 INFO hook.py line 689 195048] bathtub : 0.8048 0.9393 +[2025-03-25 06:19:41,029 INFO hook.py line 689 195048] otherfurniture : 0.5058 0.6353 +[2025-03-25 06:19:41,029 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:19:41,029 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6480/0.7642/0.8724. +[2025-03-25 06:19:41,030 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:19:41,040 INFO misc.py line 164 195048] Currently Best mIoU: 0.6531 +[2025-03-25 06:19:41,041 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:19:54,604 INFO hook.py line 566 195048] Train: [67/100][50/400] Data 0.005 (0.003) Batch 0.216 (0.200) Remain 00:45:08 loss: 0.3152 Lr: 8.47890e-04 +[2025-03-25 06:20:04,778 INFO hook.py line 566 195048] Train: [67/100][100/400] Data 0.003 (0.003) Batch 0.203 (0.202) Remain 00:45:23 loss: 0.2688 Lr: 8.42312e-04 +[2025-03-25 06:20:14,460 INFO hook.py line 566 195048] Train: [67/100][150/400] Data 0.002 (0.003) Batch 0.201 (0.199) Remain 00:44:36 loss: 0.1342 Lr: 8.36746e-04 +[2025-03-25 06:20:24,481 INFO hook.py line 566 195048] Train: [67/100][200/400] Data 0.002 (0.003) Batch 0.205 (0.199) Remain 00:44:31 loss: 0.2419 Lr: 8.31191e-04 +[2025-03-25 06:20:34,451 INFO hook.py line 566 195048] Train: [67/100][250/400] Data 0.003 (0.003) Batch 0.194 (0.199) Remain 00:44:21 loss: 0.1237 Lr: 8.25648e-04 +[2025-03-25 06:20:44,486 INFO hook.py line 566 195048] Train: [67/100][300/400] Data 0.003 (0.003) Batch 0.206 (0.200) Remain 00:44:14 loss: 0.4044 Lr: 8.20116e-04 +[2025-03-25 06:20:54,276 INFO hook.py line 566 195048] Train: [67/100][350/400] Data 0.002 (0.003) Batch 0.211 (0.199) Remain 00:43:57 loss: 0.1272 Lr: 8.14596e-04 +[2025-03-25 06:21:03,107 INFO hook.py line 566 195048] Train: [67/100][400/400] Data 0.001 (0.003) Batch 0.144 (0.196) Remain 00:43:10 loss: 0.1899 Lr: 8.09088e-04 +[2025-03-25 06:21:03,107 INFO misc.py line 135 195048] Train result: loss: 0.3009 +[2025-03-25 06:21:03,197 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:21:14,011 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1749 +[2025-03-25 06:21:14,053 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6992 +[2025-03-25 06:21:14,086 INFO hook.py line 748 195048] Test: [3/78] Loss 0.6468 +[2025-03-25 06:21:14,130 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5104 +[2025-03-25 06:21:14,265 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4961 +[2025-03-25 06:21:14,317 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6755 +[2025-03-25 06:21:14,363 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5453 +[2025-03-25 06:21:14,389 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3470 +[2025-03-25 06:21:14,430 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9257 +[2025-03-25 06:21:14,461 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5844 +[2025-03-25 06:21:14,503 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7310 +[2025-03-25 06:21:14,533 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2557 +[2025-03-25 06:21:14,577 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4030 +[2025-03-25 06:21:14,612 INFO hook.py line 748 195048] Test: [14/78] Loss 2.1815 +[2025-03-25 06:21:14,644 INFO hook.py line 748 195048] Test: [15/78] Loss 2.1945 +[2025-03-25 06:21:14,686 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2002 +[2025-03-25 06:21:14,722 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5703 +[2025-03-25 06:21:14,756 INFO hook.py line 748 195048] Test: [18/78] Loss 1.1252 +[2025-03-25 06:21:14,796 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2452 +[2025-03-25 06:21:14,830 INFO hook.py line 748 195048] Test: [20/78] Loss 0.9896 +[2025-03-25 06:21:14,862 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2860 +[2025-03-25 06:21:14,899 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4583 +[2025-03-25 06:21:14,927 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9236 +[2025-03-25 06:21:14,967 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9499 +[2025-03-25 06:21:15,006 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8372 +[2025-03-25 06:21:15,043 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5146 +[2025-03-25 06:21:15,093 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4771 +[2025-03-25 06:21:15,121 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3467 +[2025-03-25 06:21:15,147 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3665 +[2025-03-25 06:21:15,198 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6195 +[2025-03-25 06:21:15,253 INFO hook.py line 748 195048] Test: [31/78] Loss 0.6469 +[2025-03-25 06:21:15,284 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7596 +[2025-03-25 06:21:15,334 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3765 +[2025-03-25 06:21:15,369 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2083 +[2025-03-25 06:21:15,407 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4185 +[2025-03-25 06:21:15,438 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0630 +[2025-03-25 06:21:15,471 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5893 +[2025-03-25 06:21:15,503 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3176 +[2025-03-25 06:21:15,558 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3978 +[2025-03-25 06:21:15,602 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0108 +[2025-03-25 06:21:15,642 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9990 +[2025-03-25 06:21:15,666 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1964 +[2025-03-25 06:21:15,698 INFO hook.py line 748 195048] Test: [43/78] Loss 0.1789 +[2025-03-25 06:21:15,752 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5240 +[2025-03-25 06:21:15,780 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6640 +[2025-03-25 06:21:15,822 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7943 +[2025-03-25 06:21:15,855 INFO hook.py line 748 195048] Test: [47/78] Loss 2.8541 +[2025-03-25 06:21:15,886 INFO hook.py line 748 195048] Test: [48/78] Loss 0.8844 +[2025-03-25 06:21:15,922 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6598 +[2025-03-25 06:21:15,953 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0879 +[2025-03-25 06:21:15,981 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2597 +[2025-03-25 06:21:16,015 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1875 +[2025-03-25 06:21:16,044 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2631 +[2025-03-25 06:21:16,079 INFO hook.py line 748 195048] Test: [54/78] Loss 2.0560 +[2025-03-25 06:21:16,113 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0723 +[2025-03-25 06:21:16,149 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2617 +[2025-03-25 06:21:16,178 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8722 +[2025-03-25 06:21:16,200 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7271 +[2025-03-25 06:21:16,235 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8333 +[2025-03-25 06:21:16,263 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6101 +[2025-03-25 06:21:16,283 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5165 +[2025-03-25 06:21:16,312 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5155 +[2025-03-25 06:21:16,344 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3915 +[2025-03-25 06:21:16,395 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4610 +[2025-03-25 06:21:16,418 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8884 +[2025-03-25 06:21:16,455 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7858 +[2025-03-25 06:21:16,489 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3892 +[2025-03-25 06:21:16,518 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0051 +[2025-03-25 06:21:16,544 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3250 +[2025-03-25 06:21:16,597 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4344 +[2025-03-25 06:21:16,635 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9162 +[2025-03-25 06:21:16,680 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5725 +[2025-03-25 06:21:16,724 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5838 +[2025-03-25 06:21:16,761 INFO hook.py line 748 195048] Test: [74/78] Loss 1.8657 +[2025-03-25 06:21:16,807 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7749 +[2025-03-25 06:21:16,832 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9885 +[2025-03-25 06:21:16,882 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4678 +[2025-03-25 06:21:16,905 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6673 +[2025-03-25 06:21:17,958 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:21:17,958 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:21:17,958 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] wall : 0.8075 0.9337 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] floor : 0.9581 0.9805 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] cabinet : 0.5691 0.7164 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] bed : 0.7529 0.8220 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] chair : 0.8808 0.9344 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] sofa : 0.8124 0.8906 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] table : 0.6806 0.7902 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] door : 0.5603 0.6477 +[2025-03-25 06:21:17,958 INFO hook.py line 689 195048] window : 0.4958 0.6135 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] bookshelf : 0.7554 0.8811 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] picture : 0.2401 0.3542 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] counter : 0.5147 0.6031 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] desk : 0.5505 0.7344 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] curtain : 0.6057 0.6872 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] refridgerator : 0.4198 0.4667 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] shower curtain : 0.5697 0.7048 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] toilet : 0.8617 0.9418 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] sink : 0.5419 0.5984 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] bathtub : 0.8485 0.8893 +[2025-03-25 06:21:17,959 INFO hook.py line 689 195048] otherfurniture : 0.4885 0.6359 +[2025-03-25 06:21:17,959 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:21:17,959 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6457/0.7413/0.8734. +[2025-03-25 06:21:17,959 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:21:17,971 INFO misc.py line 164 195048] Currently Best mIoU: 0.6531 +[2025-03-25 06:21:17,971 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:21:31,203 INFO hook.py line 566 195048] Train: [68/100][50/400] Data 0.002 (0.003) Batch 0.198 (0.197) Remain 00:43:11 loss: 0.3482 Lr: 8.03591e-04 +[2025-03-25 06:21:41,246 INFO hook.py line 566 195048] Train: [68/100][100/400] Data 0.002 (0.003) Batch 0.180 (0.199) Remain 00:43:27 loss: 0.1322 Lr: 7.98106e-04 +[2025-03-25 06:21:51,015 INFO hook.py line 566 195048] Train: [68/100][150/400] Data 0.003 (0.003) Batch 0.223 (0.198) Remain 00:43:01 loss: 0.1243 Lr: 7.92634e-04 +[2025-03-25 06:22:00,872 INFO hook.py line 566 195048] Train: [68/100][200/400] Data 0.003 (0.003) Batch 0.204 (0.198) Remain 00:42:49 loss: 0.1666 Lr: 7.87173e-04 +[2025-03-25 06:22:10,919 INFO hook.py line 566 195048] Train: [68/100][250/400] Data 0.002 (0.003) Batch 0.184 (0.198) Remain 00:42:47 loss: 0.4054 Lr: 7.81724e-04 +[2025-03-25 06:22:20,890 INFO hook.py line 566 195048] Train: [68/100][300/400] Data 0.002 (0.003) Batch 0.202 (0.198) Remain 00:42:40 loss: 0.3822 Lr: 7.76288e-04 +[2025-03-25 06:22:30,851 INFO hook.py line 566 195048] Train: [68/100][350/400] Data 0.002 (0.003) Batch 0.183 (0.199) Remain 00:42:31 loss: 0.2308 Lr: 7.70864e-04 +[2025-03-25 06:22:39,657 INFO hook.py line 566 195048] Train: [68/100][400/400] Data 0.001 (0.003) Batch 0.144 (0.196) Remain 00:41:45 loss: 0.4481 Lr: 7.65453e-04 +[2025-03-25 06:22:39,657 INFO misc.py line 135 195048] Train result: loss: 0.2924 +[2025-03-25 06:22:39,750 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:22:50,569 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1478 +[2025-03-25 06:22:50,605 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6896 +[2025-03-25 06:22:50,652 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4093 +[2025-03-25 06:22:50,696 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5190 +[2025-03-25 06:22:50,732 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3400 +[2025-03-25 06:22:50,912 INFO hook.py line 748 195048] Test: [6/78] Loss 1.4618 +[2025-03-25 06:22:50,961 INFO hook.py line 748 195048] Test: [7/78] Loss 0.4894 +[2025-03-25 06:22:50,985 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3444 +[2025-03-25 06:22:51,026 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9343 +[2025-03-25 06:22:51,054 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5247 +[2025-03-25 06:22:51,095 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6126 +[2025-03-25 06:22:51,127 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0087 +[2025-03-25 06:22:51,170 INFO hook.py line 748 195048] Test: [13/78] Loss 1.4769 +[2025-03-25 06:22:51,211 INFO hook.py line 748 195048] Test: [14/78] Loss 1.9840 +[2025-03-25 06:22:51,243 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9153 +[2025-03-25 06:22:51,284 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2133 +[2025-03-25 06:22:51,319 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5248 +[2025-03-25 06:22:51,349 INFO hook.py line 748 195048] Test: [18/78] Loss 1.0321 +[2025-03-25 06:22:51,389 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1879 +[2025-03-25 06:22:51,417 INFO hook.py line 748 195048] Test: [20/78] Loss 1.5140 +[2025-03-25 06:22:51,448 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2650 +[2025-03-25 06:22:51,484 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5300 +[2025-03-25 06:22:51,508 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7140 +[2025-03-25 06:22:51,547 INFO hook.py line 748 195048] Test: [24/78] Loss 0.7537 +[2025-03-25 06:22:51,585 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0083 +[2025-03-25 06:22:51,624 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7144 +[2025-03-25 06:22:51,670 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6472 +[2025-03-25 06:22:51,706 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3612 +[2025-03-25 06:22:51,731 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2578 +[2025-03-25 06:22:51,778 INFO hook.py line 748 195048] Test: [30/78] Loss 0.4114 +[2025-03-25 06:22:51,834 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5152 +[2025-03-25 06:22:51,872 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7424 +[2025-03-25 06:22:51,920 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3260 +[2025-03-25 06:22:51,957 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0485 +[2025-03-25 06:22:51,991 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4185 +[2025-03-25 06:22:52,025 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1833 +[2025-03-25 06:22:52,058 INFO hook.py line 748 195048] Test: [37/78] Loss 0.3806 +[2025-03-25 06:22:52,089 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2766 +[2025-03-25 06:22:52,143 INFO hook.py line 748 195048] Test: [39/78] Loss 1.0800 +[2025-03-25 06:22:52,187 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7534 +[2025-03-25 06:22:52,233 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0499 +[2025-03-25 06:22:52,263 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2128 +[2025-03-25 06:22:52,295 INFO hook.py line 748 195048] Test: [43/78] Loss 0.1738 +[2025-03-25 06:22:52,351 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5295 +[2025-03-25 06:22:52,381 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6239 +[2025-03-25 06:22:52,422 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8190 +[2025-03-25 06:22:52,458 INFO hook.py line 748 195048] Test: [47/78] Loss 2.0613 +[2025-03-25 06:22:52,495 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6887 +[2025-03-25 06:22:52,529 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4117 +[2025-03-25 06:22:52,571 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1050 +[2025-03-25 06:22:52,604 INFO hook.py line 748 195048] Test: [51/78] Loss 1.5325 +[2025-03-25 06:22:52,640 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0188 +[2025-03-25 06:22:52,673 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4570 +[2025-03-25 06:22:52,709 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6206 +[2025-03-25 06:22:52,743 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0914 +[2025-03-25 06:22:52,779 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2748 +[2025-03-25 06:22:52,808 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7117 +[2025-03-25 06:22:52,832 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7199 +[2025-03-25 06:22:52,866 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9185 +[2025-03-25 06:22:52,894 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9009 +[2025-03-25 06:22:52,914 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5567 +[2025-03-25 06:22:52,943 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5597 +[2025-03-25 06:22:52,975 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1775 +[2025-03-25 06:22:53,025 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7349 +[2025-03-25 06:22:53,048 INFO hook.py line 748 195048] Test: [65/78] Loss 0.7333 +[2025-03-25 06:22:53,085 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9196 +[2025-03-25 06:22:53,119 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3701 +[2025-03-25 06:22:53,148 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0493 +[2025-03-25 06:22:53,174 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3613 +[2025-03-25 06:22:53,226 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2694 +[2025-03-25 06:22:53,264 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9674 +[2025-03-25 06:22:53,309 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5748 +[2025-03-25 06:22:53,353 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5718 +[2025-03-25 06:22:53,391 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3310 +[2025-03-25 06:22:53,437 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8071 +[2025-03-25 06:22:53,461 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7420 +[2025-03-25 06:22:53,511 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5217 +[2025-03-25 06:22:53,534 INFO hook.py line 748 195048] Test: [78/78] Loss 0.8244 +[2025-03-25 06:22:54,501 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:22:54,501 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:22:54,501 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:22:54,501 INFO hook.py line 689 195048] wall : 0.8178 0.9076 +[2025-03-25 06:22:54,501 INFO hook.py line 689 195048] floor : 0.9540 0.9834 +[2025-03-25 06:22:54,501 INFO hook.py line 689 195048] cabinet : 0.5558 0.7909 +[2025-03-25 06:22:54,501 INFO hook.py line 689 195048] bed : 0.7615 0.8154 +[2025-03-25 06:22:54,501 INFO hook.py line 689 195048] chair : 0.8695 0.9199 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] sofa : 0.7759 0.8990 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] table : 0.6765 0.7779 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] door : 0.5980 0.7581 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] window : 0.5245 0.6854 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] bookshelf : 0.7485 0.8564 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] picture : 0.2632 0.4067 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] counter : 0.5426 0.7450 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] desk : 0.5570 0.7931 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] curtain : 0.6790 0.7979 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] refridgerator : 0.4222 0.4454 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] shower curtain : 0.6005 0.6680 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] toilet : 0.8480 0.9664 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] sink : 0.5614 0.6762 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] bathtub : 0.8344 0.9088 +[2025-03-25 06:22:54,502 INFO hook.py line 689 195048] otherfurniture : 0.4976 0.5701 +[2025-03-25 06:22:54,502 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:22:54,502 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6544/0.7686/0.8753. +[2025-03-25 06:22:54,502 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:22:54,514 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6544 +[2025-03-25 06:22:54,514 INFO misc.py line 164 195048] Currently Best mIoU: 0.6544 +[2025-03-25 06:22:54,514 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:23:08,025 INFO hook.py line 566 195048] Train: [69/100][50/400] Data 0.003 (0.003) Batch 0.212 (0.202) Remain 00:42:56 loss: 0.1501 Lr: 7.60054e-04 +[2025-03-25 06:23:18,041 INFO hook.py line 566 195048] Train: [69/100][100/400] Data 0.002 (0.003) Batch 0.200 (0.201) Remain 00:42:34 loss: 0.1133 Lr: 7.54668e-04 +[2025-03-25 06:23:27,895 INFO hook.py line 566 195048] Train: [69/100][150/400] Data 0.002 (0.003) Batch 0.193 (0.200) Remain 00:42:07 loss: 0.2706 Lr: 7.49295e-04 +[2025-03-25 06:23:37,555 INFO hook.py line 566 195048] Train: [69/100][200/400] Data 0.002 (0.003) Batch 0.193 (0.198) Remain 00:41:36 loss: 0.0839 Lr: 7.43934e-04 +[2025-03-25 06:23:47,388 INFO hook.py line 566 195048] Train: [69/100][250/400] Data 0.003 (0.003) Batch 0.196 (0.198) Remain 00:41:22 loss: 0.5018 Lr: 7.38586e-04 +[2025-03-25 06:23:57,211 INFO hook.py line 566 195048] Train: [69/100][300/400] Data 0.002 (0.003) Batch 0.187 (0.198) Remain 00:41:09 loss: 0.0897 Lr: 7.33252e-04 +[2025-03-25 06:24:07,210 INFO hook.py line 566 195048] Train: [69/100][350/400] Data 0.002 (0.003) Batch 0.189 (0.198) Remain 00:41:04 loss: 0.3308 Lr: 7.27930e-04 +[2025-03-25 06:24:16,132 INFO hook.py line 566 195048] Train: [69/100][400/400] Data 0.001 (0.003) Batch 0.143 (0.195) Remain 00:40:23 loss: 0.5746 Lr: 7.22622e-04 +[2025-03-25 06:24:16,132 INFO misc.py line 135 195048] Train result: loss: 0.2785 +[2025-03-25 06:24:16,214 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:24:26,667 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1512 +[2025-03-25 06:24:26,752 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6203 +[2025-03-25 06:24:26,790 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3665 +[2025-03-25 06:24:27,198 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5201 +[2025-03-25 06:24:27,244 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4684 +[2025-03-25 06:24:27,302 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7165 +[2025-03-25 06:24:27,348 INFO hook.py line 748 195048] Test: [7/78] Loss 0.4517 +[2025-03-25 06:24:27,372 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4294 +[2025-03-25 06:24:27,419 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0460 +[2025-03-25 06:24:27,448 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8285 +[2025-03-25 06:24:27,751 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6965 +[2025-03-25 06:24:27,787 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2560 +[2025-03-25 06:24:27,831 INFO hook.py line 748 195048] Test: [13/78] Loss 2.3749 +[2025-03-25 06:24:27,868 INFO hook.py line 748 195048] Test: [14/78] Loss 2.4282 +[2025-03-25 06:24:27,910 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9989 +[2025-03-25 06:24:27,952 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1452 +[2025-03-25 06:24:27,988 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5157 +[2025-03-25 06:24:28,019 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8766 +[2025-03-25 06:24:28,060 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0591 +[2025-03-25 06:24:28,089 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0932 +[2025-03-25 06:24:28,121 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3175 +[2025-03-25 06:24:28,158 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5612 +[2025-03-25 06:24:28,186 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9572 +[2025-03-25 06:24:28,224 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9843 +[2025-03-25 06:24:28,263 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0743 +[2025-03-25 06:24:28,302 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6781 +[2025-03-25 06:24:28,350 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3388 +[2025-03-25 06:24:28,379 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5213 +[2025-03-25 06:24:28,405 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3308 +[2025-03-25 06:24:28,454 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6086 +[2025-03-25 06:24:28,507 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5619 +[2025-03-25 06:24:28,538 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8077 +[2025-03-25 06:24:28,586 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3401 +[2025-03-25 06:24:28,626 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2383 +[2025-03-25 06:24:28,660 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3851 +[2025-03-25 06:24:28,694 INFO hook.py line 748 195048] Test: [36/78] Loss 1.0921 +[2025-03-25 06:24:28,728 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5703 +[2025-03-25 06:24:28,754 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2946 +[2025-03-25 06:24:28,808 INFO hook.py line 748 195048] Test: [39/78] Loss 1.1760 +[2025-03-25 06:24:28,850 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6629 +[2025-03-25 06:24:28,890 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0099 +[2025-03-25 06:24:28,913 INFO hook.py line 748 195048] Test: [42/78] Loss 0.1969 +[2025-03-25 06:24:28,946 INFO hook.py line 748 195048] Test: [43/78] Loss 0.1980 +[2025-03-25 06:24:28,998 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5807 +[2025-03-25 06:24:29,026 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6009 +[2025-03-25 06:24:29,068 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7682 +[2025-03-25 06:24:29,102 INFO hook.py line 748 195048] Test: [47/78] Loss 2.4523 +[2025-03-25 06:24:29,133 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6177 +[2025-03-25 06:24:29,165 INFO hook.py line 748 195048] Test: [49/78] Loss 1.3386 +[2025-03-25 06:24:29,199 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2068 +[2025-03-25 06:24:29,240 INFO hook.py line 748 195048] Test: [51/78] Loss 2.1754 +[2025-03-25 06:24:29,281 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0805 +[2025-03-25 06:24:29,308 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3973 +[2025-03-25 06:24:29,341 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2217 +[2025-03-25 06:24:29,376 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0625 +[2025-03-25 06:24:29,411 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2822 +[2025-03-25 06:24:29,440 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7203 +[2025-03-25 06:24:29,463 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8140 +[2025-03-25 06:24:29,498 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8302 +[2025-03-25 06:24:29,527 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7503 +[2025-03-25 06:24:29,547 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5890 +[2025-03-25 06:24:29,576 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5946 +[2025-03-25 06:24:29,607 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1208 +[2025-03-25 06:24:29,658 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3866 +[2025-03-25 06:24:29,681 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8668 +[2025-03-25 06:24:29,718 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6467 +[2025-03-25 06:24:29,752 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4038 +[2025-03-25 06:24:29,780 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0385 +[2025-03-25 06:24:29,806 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3480 +[2025-03-25 06:24:29,859 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3850 +[2025-03-25 06:24:29,896 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8233 +[2025-03-25 06:24:29,942 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5100 +[2025-03-25 06:24:29,986 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6679 +[2025-03-25 06:24:30,023 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0874 +[2025-03-25 06:24:30,069 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8443 +[2025-03-25 06:24:30,094 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7491 +[2025-03-25 06:24:30,143 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4715 +[2025-03-25 06:24:30,166 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6089 +[2025-03-25 06:24:31,138 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:24:31,139 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:24:31,139 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:24:31,139 INFO hook.py line 689 195048] wall : 0.8148 0.9266 +[2025-03-25 06:24:31,139 INFO hook.py line 689 195048] floor : 0.9556 0.9770 +[2025-03-25 06:24:31,139 INFO hook.py line 689 195048] cabinet : 0.5792 0.7773 +[2025-03-25 06:24:31,139 INFO hook.py line 689 195048] bed : 0.7258 0.8448 +[2025-03-25 06:24:31,139 INFO hook.py line 689 195048] chair : 0.8798 0.9402 +[2025-03-25 06:24:31,139 INFO hook.py line 689 195048] sofa : 0.8065 0.8888 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] table : 0.6713 0.7493 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] door : 0.5911 0.7470 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] window : 0.5103 0.6192 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] bookshelf : 0.7363 0.8534 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] picture : 0.2688 0.3699 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] counter : 0.5578 0.6948 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] desk : 0.5558 0.8252 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] curtain : 0.6450 0.7088 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] refridgerator : 0.4542 0.5356 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] shower curtain : 0.6327 0.7147 +[2025-03-25 06:24:31,140 INFO hook.py line 689 195048] toilet : 0.8878 0.9594 +[2025-03-25 06:24:31,141 INFO hook.py line 689 195048] sink : 0.5799 0.6722 +[2025-03-25 06:24:31,141 INFO hook.py line 689 195048] bathtub : 0.8588 0.9251 +[2025-03-25 06:24:31,141 INFO hook.py line 689 195048] otherfurniture : 0.4989 0.5708 +[2025-03-25 06:24:31,141 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:24:31,141 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6605/0.7650/0.8763. +[2025-03-25 06:24:31,142 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:24:31,154 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6605 +[2025-03-25 06:24:31,154 INFO misc.py line 164 195048] Currently Best mIoU: 0.6605 +[2025-03-25 06:24:31,154 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:24:44,964 INFO hook.py line 566 195048] Train: [70/100][50/400] Data 0.003 (0.003) Batch 0.194 (0.206) Remain 00:42:19 loss: 0.2516 Lr: 7.17327e-04 +[2025-03-25 06:24:54,905 INFO hook.py line 566 195048] Train: [70/100][100/400] Data 0.002 (0.003) Batch 0.196 (0.202) Remain 00:41:26 loss: 0.3829 Lr: 7.12045e-04 +[2025-03-25 06:25:04,817 INFO hook.py line 566 195048] Train: [70/100][150/400] Data 0.002 (0.003) Batch 0.197 (0.201) Remain 00:40:59 loss: 0.2287 Lr: 7.06777e-04 +[2025-03-25 06:25:14,998 INFO hook.py line 566 195048] Train: [70/100][200/400] Data 0.004 (0.003) Batch 0.196 (0.202) Remain 00:40:58 loss: 0.4323 Lr: 7.01522e-04 +[2025-03-25 06:25:24,861 INFO hook.py line 566 195048] Train: [70/100][250/400] Data 0.002 (0.003) Batch 0.194 (0.201) Remain 00:40:37 loss: 0.2688 Lr: 6.96281e-04 +[2025-03-25 06:25:34,789 INFO hook.py line 566 195048] Train: [70/100][300/400] Data 0.002 (0.003) Batch 0.191 (0.200) Remain 00:40:23 loss: 0.1499 Lr: 6.91053e-04 +[2025-03-25 06:25:44,579 INFO hook.py line 566 195048] Train: [70/100][350/400] Data 0.002 (0.003) Batch 0.187 (0.200) Remain 00:40:05 loss: 0.1867 Lr: 6.85840e-04 +[2025-03-25 06:25:53,551 INFO hook.py line 566 195048] Train: [70/100][400/400] Data 0.001 (0.003) Batch 0.137 (0.197) Remain 00:39:25 loss: 0.4149 Lr: 6.80640e-04 +[2025-03-25 06:25:53,551 INFO misc.py line 135 195048] Train result: loss: 0.2850 +[2025-03-25 06:25:53,641 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:26:03,977 INFO hook.py line 748 195048] Test: [1/78] Loss 0.3096 +[2025-03-25 06:26:04,555 INFO hook.py line 748 195048] Test: [2/78] Loss 1.0051 +[2025-03-25 06:26:04,599 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4123 +[2025-03-25 06:26:04,641 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5742 +[2025-03-25 06:26:04,674 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4392 +[2025-03-25 06:26:04,727 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7234 +[2025-03-25 06:26:04,774 INFO hook.py line 748 195048] Test: [7/78] Loss 0.7043 +[2025-03-25 06:26:04,804 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4107 +[2025-03-25 06:26:04,849 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0034 +[2025-03-25 06:26:04,883 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6993 +[2025-03-25 06:26:04,925 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6196 +[2025-03-25 06:26:04,958 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1990 +[2025-03-25 06:26:05,001 INFO hook.py line 748 195048] Test: [13/78] Loss 2.7514 +[2025-03-25 06:26:05,035 INFO hook.py line 748 195048] Test: [14/78] Loss 2.3233 +[2025-03-25 06:26:05,067 INFO hook.py line 748 195048] Test: [15/78] Loss 2.1233 +[2025-03-25 06:26:05,118 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1311 +[2025-03-25 06:26:05,154 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5914 +[2025-03-25 06:26:05,184 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8347 +[2025-03-25 06:26:05,226 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1942 +[2025-03-25 06:26:05,254 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2418 +[2025-03-25 06:26:05,297 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2755 +[2025-03-25 06:26:05,333 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5343 +[2025-03-25 06:26:05,360 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7600 +[2025-03-25 06:26:05,398 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0026 +[2025-03-25 06:26:05,440 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2440 +[2025-03-25 06:26:05,479 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5410 +[2025-03-25 06:26:05,524 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3637 +[2025-03-25 06:26:05,552 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4519 +[2025-03-25 06:26:05,578 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3337 +[2025-03-25 06:26:05,626 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6421 +[2025-03-25 06:26:05,681 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5810 +[2025-03-25 06:26:05,713 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6155 +[2025-03-25 06:26:05,762 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3727 +[2025-03-25 06:26:05,801 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0636 +[2025-03-25 06:26:05,838 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4811 +[2025-03-25 06:26:05,871 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3719 +[2025-03-25 06:26:05,905 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6635 +[2025-03-25 06:26:05,936 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2719 +[2025-03-25 06:26:05,991 INFO hook.py line 748 195048] Test: [39/78] Loss 1.7160 +[2025-03-25 06:26:06,032 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9340 +[2025-03-25 06:26:06,071 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0501 +[2025-03-25 06:26:06,094 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2058 +[2025-03-25 06:26:06,126 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3920 +[2025-03-25 06:26:06,181 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5143 +[2025-03-25 06:26:06,213 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5611 +[2025-03-25 06:26:06,256 INFO hook.py line 748 195048] Test: [46/78] Loss 1.0322 +[2025-03-25 06:26:06,292 INFO hook.py line 748 195048] Test: [47/78] Loss 3.0374 +[2025-03-25 06:26:06,323 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5881 +[2025-03-25 06:26:06,356 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6487 +[2025-03-25 06:26:06,386 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0281 +[2025-03-25 06:26:06,414 INFO hook.py line 748 195048] Test: [51/78] Loss 0.9951 +[2025-03-25 06:26:06,451 INFO hook.py line 748 195048] Test: [52/78] Loss 0.7672 +[2025-03-25 06:26:06,476 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4022 +[2025-03-25 06:26:06,513 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6266 +[2025-03-25 06:26:06,548 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0577 +[2025-03-25 06:26:06,584 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3269 +[2025-03-25 06:26:06,612 INFO hook.py line 748 195048] Test: [57/78] Loss 0.5957 +[2025-03-25 06:26:06,635 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8047 +[2025-03-25 06:26:06,670 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7974 +[2025-03-25 06:26:06,698 INFO hook.py line 748 195048] Test: [60/78] Loss 1.1362 +[2025-03-25 06:26:06,718 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6970 +[2025-03-25 06:26:06,746 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5323 +[2025-03-25 06:26:06,778 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1609 +[2025-03-25 06:26:06,829 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7595 +[2025-03-25 06:26:06,852 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8508 +[2025-03-25 06:26:06,889 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7009 +[2025-03-25 06:26:06,923 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5418 +[2025-03-25 06:26:06,952 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9700 +[2025-03-25 06:26:06,978 INFO hook.py line 748 195048] Test: [69/78] Loss 0.4960 +[2025-03-25 06:26:07,030 INFO hook.py line 748 195048] Test: [70/78] Loss 1.6976 +[2025-03-25 06:26:07,069 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9176 +[2025-03-25 06:26:07,114 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4000 +[2025-03-25 06:26:07,157 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5352 +[2025-03-25 06:26:07,195 INFO hook.py line 748 195048] Test: [74/78] Loss 2.5309 +[2025-03-25 06:26:07,240 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6398 +[2025-03-25 06:26:07,265 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9377 +[2025-03-25 06:26:07,314 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5646 +[2025-03-25 06:26:07,337 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5815 +[2025-03-25 06:26:08,215 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:26:08,215 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:26:08,215 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] wall : 0.8146 0.9257 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] floor : 0.9547 0.9799 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] cabinet : 0.5705 0.6978 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] bed : 0.7693 0.8331 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] chair : 0.8715 0.9384 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] sofa : 0.8120 0.9214 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] table : 0.6543 0.8423 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] door : 0.5532 0.7654 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] window : 0.5051 0.6198 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] bookshelf : 0.7519 0.8751 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] picture : 0.2078 0.2680 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] counter : 0.5460 0.7030 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] desk : 0.5353 0.6587 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] curtain : 0.6302 0.7196 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] refridgerator : 0.3823 0.4255 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] shower curtain : 0.6101 0.7006 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] toilet : 0.8539 0.9351 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] sink : 0.5486 0.6352 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] bathtub : 0.8476 0.9052 +[2025-03-25 06:26:08,216 INFO hook.py line 689 195048] otherfurniture : 0.4717 0.5309 +[2025-03-25 06:26:08,216 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:26:08,216 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6445/0.7440/0.8732. +[2025-03-25 06:26:08,217 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:26:08,224 INFO misc.py line 164 195048] Currently Best mIoU: 0.6605 +[2025-03-25 06:26:08,224 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:26:21,332 INFO hook.py line 566 195048] Train: [71/100][50/400] Data 0.003 (0.003) Batch 0.195 (0.210) Remain 00:41:46 loss: 0.4638 Lr: 6.75455e-04 +[2025-03-25 06:26:31,101 INFO hook.py line 566 195048] Train: [71/100][100/400] Data 0.003 (0.003) Batch 0.214 (0.202) Remain 00:40:07 loss: 0.2522 Lr: 6.70283e-04 +[2025-03-25 06:26:40,944 INFO hook.py line 566 195048] Train: [71/100][150/400] Data 0.002 (0.003) Batch 0.186 (0.200) Remain 00:39:35 loss: 0.1178 Lr: 6.65126e-04 +[2025-03-25 06:26:50,980 INFO hook.py line 566 195048] Train: [71/100][200/400] Data 0.003 (0.003) Batch 0.200 (0.201) Remain 00:39:26 loss: 0.6050 Lr: 6.59983e-04 +[2025-03-25 06:27:01,132 INFO hook.py line 566 195048] Train: [71/100][250/400] Data 0.002 (0.003) Batch 0.203 (0.201) Remain 00:39:22 loss: 0.5094 Lr: 6.54854e-04 +[2025-03-25 06:27:11,029 INFO hook.py line 566 195048] Train: [71/100][300/400] Data 0.005 (0.003) Batch 0.198 (0.201) Remain 00:39:05 loss: 0.3122 Lr: 6.49740e-04 +[2025-03-25 06:27:21,165 INFO hook.py line 566 195048] Train: [71/100][350/400] Data 0.002 (0.003) Batch 0.203 (0.201) Remain 00:38:59 loss: 0.1270 Lr: 6.44640e-04 +[2025-03-25 06:27:30,150 INFO hook.py line 566 195048] Train: [71/100][400/400] Data 0.001 (0.003) Batch 0.155 (0.198) Remain 00:38:18 loss: 0.2806 Lr: 6.39555e-04 +[2025-03-25 06:27:30,151 INFO misc.py line 135 195048] Train result: loss: 0.2707 +[2025-03-25 06:27:30,239 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:27:41,448 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2254 +[2025-03-25 06:27:41,483 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7858 +[2025-03-25 06:27:41,512 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3013 +[2025-03-25 06:27:41,555 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5456 +[2025-03-25 06:27:41,584 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3583 +[2025-03-25 06:27:41,633 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6811 +[2025-03-25 06:27:41,680 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5492 +[2025-03-25 06:27:41,711 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3824 +[2025-03-25 06:27:41,757 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9789 +[2025-03-25 06:27:41,785 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5586 +[2025-03-25 06:27:41,826 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5880 +[2025-03-25 06:27:41,856 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3902 +[2025-03-25 06:27:41,900 INFO hook.py line 748 195048] Test: [13/78] Loss 2.2947 +[2025-03-25 06:27:41,934 INFO hook.py line 748 195048] Test: [14/78] Loss 2.3629 +[2025-03-25 06:27:41,966 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0901 +[2025-03-25 06:27:42,008 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1243 +[2025-03-25 06:27:42,043 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6124 +[2025-03-25 06:27:42,071 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7260 +[2025-03-25 06:27:42,113 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0394 +[2025-03-25 06:27:42,143 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3676 +[2025-03-25 06:27:42,175 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2955 +[2025-03-25 06:27:42,211 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5966 +[2025-03-25 06:27:42,235 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7601 +[2025-03-25 06:27:42,274 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0078 +[2025-03-25 06:27:42,310 INFO hook.py line 748 195048] Test: [25/78] Loss 1.2605 +[2025-03-25 06:27:42,347 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5897 +[2025-03-25 06:27:42,395 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2753 +[2025-03-25 06:27:42,424 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4869 +[2025-03-25 06:27:42,451 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3083 +[2025-03-25 06:27:42,500 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6215 +[2025-03-25 06:27:42,556 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5332 +[2025-03-25 06:27:42,590 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6764 +[2025-03-25 06:27:42,637 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2550 +[2025-03-25 06:27:42,671 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1076 +[2025-03-25 06:27:42,708 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3448 +[2025-03-25 06:27:42,741 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2184 +[2025-03-25 06:27:42,774 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6080 +[2025-03-25 06:27:42,802 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2918 +[2025-03-25 06:27:42,857 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5663 +[2025-03-25 06:27:42,907 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7245 +[2025-03-25 06:27:42,949 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0729 +[2025-03-25 06:27:42,974 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2386 +[2025-03-25 06:27:43,006 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3867 +[2025-03-25 06:27:43,059 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5011 +[2025-03-25 06:27:43,090 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6452 +[2025-03-25 06:27:43,132 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8510 +[2025-03-25 06:27:43,166 INFO hook.py line 748 195048] Test: [47/78] Loss 2.4652 +[2025-03-25 06:27:43,199 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5347 +[2025-03-25 06:27:43,230 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5717 +[2025-03-25 06:27:43,266 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0924 +[2025-03-25 06:27:43,295 INFO hook.py line 748 195048] Test: [51/78] Loss 1.4606 +[2025-03-25 06:27:43,329 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9490 +[2025-03-25 06:27:43,357 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3213 +[2025-03-25 06:27:43,392 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4391 +[2025-03-25 06:27:43,427 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0720 +[2025-03-25 06:27:43,462 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2824 +[2025-03-25 06:27:43,491 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7773 +[2025-03-25 06:27:43,514 INFO hook.py line 748 195048] Test: [58/78] Loss 0.8594 +[2025-03-25 06:27:43,548 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7808 +[2025-03-25 06:27:43,577 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6518 +[2025-03-25 06:27:43,597 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6102 +[2025-03-25 06:27:43,626 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4967 +[2025-03-25 06:27:43,658 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0844 +[2025-03-25 06:27:43,708 INFO hook.py line 748 195048] Test: [64/78] Loss 1.7409 +[2025-03-25 06:27:43,731 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8610 +[2025-03-25 06:27:43,768 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8307 +[2025-03-25 06:27:43,802 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4477 +[2025-03-25 06:27:43,831 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9624 +[2025-03-25 06:27:43,857 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3395 +[2025-03-25 06:27:43,909 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5133 +[2025-03-25 06:27:43,946 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9237 +[2025-03-25 06:27:43,992 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5135 +[2025-03-25 06:27:44,035 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5862 +[2025-03-25 06:27:44,073 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2050 +[2025-03-25 06:27:44,118 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6330 +[2025-03-25 06:27:44,143 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0045 +[2025-03-25 06:27:44,193 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4303 +[2025-03-25 06:27:44,216 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5728 +[2025-03-25 06:27:45,276 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:27:45,276 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:27:45,277 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] wall : 0.8173 0.9180 +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] floor : 0.9578 0.9773 +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] cabinet : 0.5996 0.7368 +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] bed : 0.7564 0.8448 +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] chair : 0.8731 0.9471 +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] sofa : 0.8193 0.9103 +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] table : 0.6836 0.7836 +[2025-03-25 06:27:45,277 INFO hook.py line 689 195048] door : 0.5753 0.7922 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] window : 0.5187 0.6425 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] bookshelf : 0.7614 0.8788 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] picture : 0.2361 0.3174 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] counter : 0.5427 0.6781 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] desk : 0.5568 0.7779 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] curtain : 0.6891 0.8122 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] refridgerator : 0.4129 0.4404 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] shower curtain : 0.6441 0.7169 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] toilet : 0.8852 0.9528 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] sink : 0.5394 0.6365 +[2025-03-25 06:27:45,278 INFO hook.py line 689 195048] bathtub : 0.8737 0.9042 +[2025-03-25 06:27:45,279 INFO hook.py line 689 195048] otherfurniture : 0.5028 0.5879 +[2025-03-25 06:27:45,279 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:27:45,279 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6623/0.7628/0.8786. +[2025-03-25 06:27:45,280 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:27:45,290 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6623 +[2025-03-25 06:27:45,291 INFO misc.py line 164 195048] Currently Best mIoU: 0.6623 +[2025-03-25 06:27:45,291 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:27:59,074 INFO hook.py line 566 195048] Train: [72/100][50/400] Data 0.003 (0.003) Batch 0.207 (0.196) Remain 00:37:39 loss: 0.3361 Lr: 6.34485e-04 +[2025-03-25 06:28:09,024 INFO hook.py line 566 195048] Train: [72/100][100/400] Data 0.003 (0.003) Batch 0.201 (0.197) Remain 00:37:49 loss: 0.3219 Lr: 6.29429e-04 +[2025-03-25 06:28:18,862 INFO hook.py line 566 195048] Train: [72/100][150/400] Data 0.002 (0.003) Batch 0.201 (0.197) Remain 00:37:37 loss: 0.2430 Lr: 6.24389e-04 +[2025-03-25 06:28:28,784 INFO hook.py line 566 195048] Train: [72/100][200/400] Data 0.002 (0.003) Batch 0.167 (0.197) Remain 00:37:31 loss: 0.3739 Lr: 6.19463e-04 +[2025-03-25 06:28:38,581 INFO hook.py line 566 195048] Train: [72/100][250/400] Data 0.004 (0.003) Batch 0.199 (0.197) Remain 00:37:17 loss: 0.0428 Lr: 6.14452e-04 +[2025-03-25 06:28:48,401 INFO hook.py line 566 195048] Train: [72/100][300/400] Data 0.002 (0.003) Batch 0.228 (0.197) Remain 00:37:06 loss: 0.0927 Lr: 6.09457e-04 +[2025-03-25 06:28:58,314 INFO hook.py line 566 195048] Train: [72/100][350/400] Data 0.002 (0.003) Batch 0.179 (0.197) Remain 00:36:58 loss: 0.3189 Lr: 6.04476e-04 +[2025-03-25 06:29:07,325 INFO hook.py line 566 195048] Train: [72/100][400/400] Data 0.001 (0.003) Batch 0.140 (0.195) Remain 00:36:24 loss: 0.1455 Lr: 5.99511e-04 +[2025-03-25 06:29:07,325 INFO misc.py line 135 195048] Train result: loss: 0.2713 +[2025-03-25 06:29:07,417 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:29:17,677 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1910 +[2025-03-25 06:29:17,882 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5895 +[2025-03-25 06:29:18,214 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4278 +[2025-03-25 06:29:18,315 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5654 +[2025-03-25 06:29:18,404 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4947 +[2025-03-25 06:29:18,453 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7477 +[2025-03-25 06:29:18,548 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6259 +[2025-03-25 06:29:18,577 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3945 +[2025-03-25 06:29:19,091 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0259 +[2025-03-25 06:29:19,125 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6096 +[2025-03-25 06:29:19,169 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5761 +[2025-03-25 06:29:19,198 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3666 +[2025-03-25 06:29:19,241 INFO hook.py line 748 195048] Test: [13/78] Loss 2.2504 +[2025-03-25 06:29:19,275 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5351 +[2025-03-25 06:29:19,307 INFO hook.py line 748 195048] Test: [15/78] Loss 2.2474 +[2025-03-25 06:29:19,350 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2246 +[2025-03-25 06:29:19,386 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6402 +[2025-03-25 06:29:19,416 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8787 +[2025-03-25 06:29:19,457 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0731 +[2025-03-25 06:29:19,486 INFO hook.py line 748 195048] Test: [20/78] Loss 1.0127 +[2025-03-25 06:29:19,518 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2390 +[2025-03-25 06:29:19,554 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5799 +[2025-03-25 06:29:19,585 INFO hook.py line 748 195048] Test: [23/78] Loss 0.6801 +[2025-03-25 06:29:19,627 INFO hook.py line 748 195048] Test: [24/78] Loss 0.8676 +[2025-03-25 06:29:19,663 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8547 +[2025-03-25 06:29:19,701 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5029 +[2025-03-25 06:29:19,746 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4094 +[2025-03-25 06:29:19,781 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4015 +[2025-03-25 06:29:19,809 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2502 +[2025-03-25 06:29:19,859 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6241 +[2025-03-25 06:29:19,912 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5293 +[2025-03-25 06:29:19,944 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5898 +[2025-03-25 06:29:19,991 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2869 +[2025-03-25 06:29:20,028 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1424 +[2025-03-25 06:29:20,064 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4136 +[2025-03-25 06:29:20,097 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1911 +[2025-03-25 06:29:20,129 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5956 +[2025-03-25 06:29:20,158 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3345 +[2025-03-25 06:29:20,212 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5518 +[2025-03-25 06:29:20,253 INFO hook.py line 748 195048] Test: [40/78] Loss 1.6930 +[2025-03-25 06:29:20,291 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0094 +[2025-03-25 06:29:20,314 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2729 +[2025-03-25 06:29:20,349 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3015 +[2025-03-25 06:29:20,402 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5239 +[2025-03-25 06:29:20,429 INFO hook.py line 748 195048] Test: [45/78] Loss 0.4980 +[2025-03-25 06:29:20,470 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8556 +[2025-03-25 06:29:20,512 INFO hook.py line 748 195048] Test: [47/78] Loss 2.4487 +[2025-03-25 06:29:20,545 INFO hook.py line 748 195048] Test: [48/78] Loss 0.5987 +[2025-03-25 06:29:20,576 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6463 +[2025-03-25 06:29:20,612 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2453 +[2025-03-25 06:29:20,638 INFO hook.py line 748 195048] Test: [51/78] Loss 1.3532 +[2025-03-25 06:29:20,671 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9314 +[2025-03-25 06:29:20,698 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3784 +[2025-03-25 06:29:20,734 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4507 +[2025-03-25 06:29:20,771 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0657 +[2025-03-25 06:29:20,806 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2333 +[2025-03-25 06:29:20,835 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0621 +[2025-03-25 06:29:20,858 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6104 +[2025-03-25 06:29:20,893 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8600 +[2025-03-25 06:29:20,922 INFO hook.py line 748 195048] Test: [60/78] Loss 0.9224 +[2025-03-25 06:29:20,942 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5415 +[2025-03-25 06:29:20,971 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6096 +[2025-03-25 06:29:21,003 INFO hook.py line 748 195048] Test: [63/78] Loss 1.1673 +[2025-03-25 06:29:21,053 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4146 +[2025-03-25 06:29:21,076 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8351 +[2025-03-25 06:29:21,113 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8076 +[2025-03-25 06:29:21,148 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4517 +[2025-03-25 06:29:21,177 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1516 +[2025-03-25 06:29:21,203 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3419 +[2025-03-25 06:29:21,256 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5389 +[2025-03-25 06:29:21,293 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8334 +[2025-03-25 06:29:21,339 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4327 +[2025-03-25 06:29:21,383 INFO hook.py line 748 195048] Test: [73/78] Loss 0.7649 +[2025-03-25 06:29:21,420 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3838 +[2025-03-25 06:29:21,466 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6333 +[2025-03-25 06:29:21,492 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7116 +[2025-03-25 06:29:21,541 INFO hook.py line 748 195048] Test: [77/78] Loss 0.3860 +[2025-03-25 06:29:21,564 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6102 +[2025-03-25 06:29:22,565 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:29:22,566 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:29:22,566 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] wall : 0.8172 0.9406 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] floor : 0.9565 0.9842 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] cabinet : 0.6042 0.7653 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] bed : 0.7640 0.8117 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] chair : 0.8787 0.9367 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] sofa : 0.8214 0.8786 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] table : 0.6807 0.8010 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] door : 0.5827 0.7046 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] window : 0.5262 0.6475 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] bookshelf : 0.7275 0.8783 +[2025-03-25 06:29:22,566 INFO hook.py line 689 195048] picture : 0.2592 0.3469 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] counter : 0.5598 0.6504 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] desk : 0.5563 0.7251 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] curtain : 0.6908 0.7807 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] refridgerator : 0.4988 0.5515 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] shower curtain : 0.6599 0.7268 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] toilet : 0.9054 0.9338 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] sink : 0.5937 0.6682 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] bathtub : 0.8596 0.8877 +[2025-03-25 06:29:22,567 INFO hook.py line 689 195048] otherfurniture : 0.4762 0.5357 +[2025-03-25 06:29:22,567 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:29:22,567 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6709/0.7578/0.8800. +[2025-03-25 06:29:22,567 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:29:22,577 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6709 +[2025-03-25 06:29:22,578 INFO misc.py line 164 195048] Currently Best mIoU: 0.6709 +[2025-03-25 06:29:22,578 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:29:36,775 INFO hook.py line 566 195048] Train: [73/100][50/400] Data 0.002 (0.003) Batch 0.193 (0.202) Remain 00:37:37 loss: 0.4337 Lr: 5.94561e-04 +[2025-03-25 06:29:46,704 INFO hook.py line 566 195048] Train: [73/100][100/400] Data 0.004 (0.003) Batch 0.185 (0.200) Remain 00:37:05 loss: 0.3866 Lr: 5.89626e-04 +[2025-03-25 06:29:56,574 INFO hook.py line 566 195048] Train: [73/100][150/400] Data 0.002 (0.003) Batch 0.197 (0.199) Remain 00:36:43 loss: 0.6870 Lr: 5.84707e-04 +[2025-03-25 06:30:06,456 INFO hook.py line 566 195048] Train: [73/100][200/400] Data 0.002 (0.003) Batch 0.187 (0.199) Remain 00:36:28 loss: 0.2947 Lr: 5.79804e-04 +[2025-03-25 06:30:16,313 INFO hook.py line 566 195048] Train: [73/100][250/400] Data 0.003 (0.003) Batch 0.190 (0.199) Remain 00:36:14 loss: 0.2984 Lr: 5.74916e-04 +[2025-03-25 06:30:26,215 INFO hook.py line 566 195048] Train: [73/100][300/400] Data 0.003 (0.003) Batch 0.209 (0.199) Remain 00:36:03 loss: 0.1377 Lr: 5.70142e-04 +[2025-03-25 06:30:36,020 INFO hook.py line 566 195048] Train: [73/100][350/400] Data 0.002 (0.003) Batch 0.209 (0.198) Remain 00:35:49 loss: 0.1466 Lr: 5.65286e-04 +[2025-03-25 06:30:44,948 INFO hook.py line 566 195048] Train: [73/100][400/400] Data 0.001 (0.003) Batch 0.145 (0.196) Remain 00:35:13 loss: 0.0701 Lr: 5.60446e-04 +[2025-03-25 06:30:44,949 INFO misc.py line 135 195048] Train result: loss: 0.2640 +[2025-03-25 06:30:45,044 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:30:55,280 INFO hook.py line 748 195048] Test: [1/78] Loss 0.2863 +[2025-03-25 06:30:55,933 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7848 +[2025-03-25 06:30:55,976 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4262 +[2025-03-25 06:30:56,018 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5291 +[2025-03-25 06:30:56,052 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4158 +[2025-03-25 06:30:56,152 INFO hook.py line 748 195048] Test: [6/78] Loss 1.9982 +[2025-03-25 06:30:56,394 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5437 +[2025-03-25 06:30:56,418 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4481 +[2025-03-25 06:30:56,465 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0192 +[2025-03-25 06:30:56,495 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7235 +[2025-03-25 06:30:56,537 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7771 +[2025-03-25 06:30:56,570 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1270 +[2025-03-25 06:30:56,617 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4769 +[2025-03-25 06:30:56,651 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5963 +[2025-03-25 06:30:56,684 INFO hook.py line 748 195048] Test: [15/78] Loss 2.4671 +[2025-03-25 06:30:56,726 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1783 +[2025-03-25 06:30:56,761 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5524 +[2025-03-25 06:30:56,790 INFO hook.py line 748 195048] Test: [18/78] Loss 1.3394 +[2025-03-25 06:30:56,832 INFO hook.py line 748 195048] Test: [19/78] Loss 0.8568 +[2025-03-25 06:30:56,861 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1708 +[2025-03-25 06:30:56,894 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2688 +[2025-03-25 06:30:56,930 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5605 +[2025-03-25 06:30:56,957 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0612 +[2025-03-25 06:30:56,995 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9836 +[2025-03-25 06:30:57,034 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0744 +[2025-03-25 06:30:57,077 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6150 +[2025-03-25 06:30:57,122 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3866 +[2025-03-25 06:30:57,151 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3916 +[2025-03-25 06:30:57,176 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2793 +[2025-03-25 06:30:57,226 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5821 +[2025-03-25 06:30:57,279 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4724 +[2025-03-25 06:30:57,311 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6508 +[2025-03-25 06:30:57,357 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2458 +[2025-03-25 06:30:57,395 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1629 +[2025-03-25 06:30:57,433 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3914 +[2025-03-25 06:30:57,474 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1364 +[2025-03-25 06:30:57,505 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4872 +[2025-03-25 06:30:57,533 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2966 +[2025-03-25 06:30:57,587 INFO hook.py line 748 195048] Test: [39/78] Loss 1.8099 +[2025-03-25 06:30:57,629 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9281 +[2025-03-25 06:30:57,667 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2420 +[2025-03-25 06:30:57,691 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2896 +[2025-03-25 06:30:57,723 INFO hook.py line 748 195048] Test: [43/78] Loss 0.3781 +[2025-03-25 06:30:57,776 INFO hook.py line 748 195048] Test: [44/78] Loss 0.7178 +[2025-03-25 06:30:57,807 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5161 +[2025-03-25 06:30:57,849 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9329 +[2025-03-25 06:30:57,884 INFO hook.py line 748 195048] Test: [47/78] Loss 1.9862 +[2025-03-25 06:30:57,915 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6450 +[2025-03-25 06:30:57,948 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6258 +[2025-03-25 06:30:57,983 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0781 +[2025-03-25 06:30:58,015 INFO hook.py line 748 195048] Test: [51/78] Loss 1.4742 +[2025-03-25 06:30:58,048 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0136 +[2025-03-25 06:30:58,074 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4568 +[2025-03-25 06:30:58,109 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2106 +[2025-03-25 06:30:58,144 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0490 +[2025-03-25 06:30:58,179 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2646 +[2025-03-25 06:30:58,208 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8769 +[2025-03-25 06:30:58,231 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6336 +[2025-03-25 06:30:58,266 INFO hook.py line 748 195048] Test: [59/78] Loss 0.9171 +[2025-03-25 06:30:58,294 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7894 +[2025-03-25 06:30:58,314 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5667 +[2025-03-25 06:30:58,343 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5767 +[2025-03-25 06:30:58,374 INFO hook.py line 748 195048] Test: [63/78] Loss 0.9388 +[2025-03-25 06:30:58,425 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5763 +[2025-03-25 06:30:58,448 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0811 +[2025-03-25 06:30:58,484 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7610 +[2025-03-25 06:30:58,519 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3439 +[2025-03-25 06:30:58,547 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0328 +[2025-03-25 06:30:58,573 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3482 +[2025-03-25 06:30:58,625 INFO hook.py line 748 195048] Test: [70/78] Loss 1.6849 +[2025-03-25 06:30:58,663 INFO hook.py line 748 195048] Test: [71/78] Loss 1.1426 +[2025-03-25 06:30:58,708 INFO hook.py line 748 195048] Test: [72/78] Loss 0.6883 +[2025-03-25 06:30:58,752 INFO hook.py line 748 195048] Test: [73/78] Loss 0.6347 +[2025-03-25 06:30:58,789 INFO hook.py line 748 195048] Test: [74/78] Loss 2.0915 +[2025-03-25 06:30:58,835 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7925 +[2025-03-25 06:30:58,860 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6780 +[2025-03-25 06:30:58,909 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6833 +[2025-03-25 06:30:58,932 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6620 +[2025-03-25 06:31:00,010 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:31:00,010 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:31:00,010 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] wall : 0.8149 0.9115 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] floor : 0.9553 0.9828 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] cabinet : 0.5683 0.6970 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] bed : 0.6914 0.8074 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] chair : 0.8675 0.9375 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] sofa : 0.8017 0.8907 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] table : 0.6558 0.7618 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] door : 0.5778 0.7629 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] window : 0.5168 0.6533 +[2025-03-25 06:31:00,010 INFO hook.py line 689 195048] bookshelf : 0.7310 0.8542 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] picture : 0.2222 0.3127 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] counter : 0.5579 0.6869 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] desk : 0.5254 0.8049 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] curtain : 0.6603 0.8063 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] refridgerator : 0.4016 0.4852 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] shower curtain : 0.6204 0.7558 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] toilet : 0.8492 0.9526 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] sink : 0.5719 0.6814 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] bathtub : 0.8200 0.9005 +[2025-03-25 06:31:00,011 INFO hook.py line 689 195048] otherfurniture : 0.4842 0.5692 +[2025-03-25 06:31:00,011 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:31:00,011 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6447/0.7607/0.8720. +[2025-03-25 06:31:00,012 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:31:00,023 INFO misc.py line 164 195048] Currently Best mIoU: 0.6709 +[2025-03-25 06:31:00,023 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:31:13,192 INFO hook.py line 566 195048] Train: [74/100][50/400] Data 0.002 (0.003) Batch 0.184 (0.200) Remain 00:35:53 loss: 0.2189 Lr: 5.55622e-04 +[2025-03-25 06:31:23,055 INFO hook.py line 566 195048] Train: [74/100][100/400] Data 0.002 (0.003) Batch 0.193 (0.199) Remain 00:35:26 loss: 0.0426 Lr: 5.50814e-04 +[2025-03-25 06:31:32,820 INFO hook.py line 566 195048] Train: [74/100][150/400] Data 0.003 (0.003) Batch 0.192 (0.198) Remain 00:35:04 loss: 0.1755 Lr: 5.46022e-04 +[2025-03-25 06:31:42,911 INFO hook.py line 566 195048] Train: [74/100][200/400] Data 0.003 (0.003) Batch 0.188 (0.199) Remain 00:35:05 loss: 0.1636 Lr: 5.41246e-04 +[2025-03-25 06:31:53,000 INFO hook.py line 566 195048] Train: [74/100][250/400] Data 0.003 (0.003) Batch 0.191 (0.199) Remain 00:35:02 loss: 0.1145 Lr: 5.36487e-04 +[2025-03-25 06:32:02,887 INFO hook.py line 566 195048] Train: [74/100][300/400] Data 0.004 (0.003) Batch 0.206 (0.199) Remain 00:34:49 loss: 0.0954 Lr: 5.31745e-04 +[2025-03-25 06:32:12,818 INFO hook.py line 566 195048] Train: [74/100][350/400] Data 0.002 (0.003) Batch 0.193 (0.199) Remain 00:34:39 loss: 0.0470 Lr: 5.27019e-04 +[2025-03-25 06:32:21,715 INFO hook.py line 566 195048] Train: [74/100][400/400] Data 0.001 (0.003) Batch 0.157 (0.196) Remain 00:34:01 loss: 0.2967 Lr: 5.22309e-04 +[2025-03-25 06:32:21,715 INFO misc.py line 135 195048] Train result: loss: 0.2477 +[2025-03-25 06:32:21,791 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:32:31,982 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1864 +[2025-03-25 06:32:32,019 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8605 +[2025-03-25 06:32:32,592 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5614 +[2025-03-25 06:32:32,635 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5825 +[2025-03-25 06:32:32,667 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4334 +[2025-03-25 06:32:32,719 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8402 +[2025-03-25 06:32:32,766 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5966 +[2025-03-25 06:32:32,791 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3776 +[2025-03-25 06:32:33,152 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9086 +[2025-03-25 06:32:33,180 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6103 +[2025-03-25 06:32:33,222 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7059 +[2025-03-25 06:32:33,253 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1977 +[2025-03-25 06:32:33,297 INFO hook.py line 748 195048] Test: [13/78] Loss 2.1005 +[2025-03-25 06:32:33,331 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5155 +[2025-03-25 06:32:33,364 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8788 +[2025-03-25 06:32:33,405 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1210 +[2025-03-25 06:32:33,448 INFO hook.py line 748 195048] Test: [17/78] Loss 0.4825 +[2025-03-25 06:32:33,490 INFO hook.py line 748 195048] Test: [18/78] Loss 0.6761 +[2025-03-25 06:32:33,531 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1482 +[2025-03-25 06:32:33,560 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2216 +[2025-03-25 06:32:33,594 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2680 +[2025-03-25 06:32:33,630 INFO hook.py line 748 195048] Test: [22/78] Loss 1.8212 +[2025-03-25 06:32:33,655 INFO hook.py line 748 195048] Test: [23/78] Loss 0.6430 +[2025-03-25 06:32:33,697 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0944 +[2025-03-25 06:32:33,734 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7766 +[2025-03-25 06:32:33,772 INFO hook.py line 748 195048] Test: [26/78] Loss 0.7145 +[2025-03-25 06:32:33,818 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2038 +[2025-03-25 06:32:33,847 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3943 +[2025-03-25 06:32:33,873 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2494 +[2025-03-25 06:32:33,922 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5081 +[2025-03-25 06:32:33,977 INFO hook.py line 748 195048] Test: [31/78] Loss 0.3918 +[2025-03-25 06:32:34,008 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7750 +[2025-03-25 06:32:34,055 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2495 +[2025-03-25 06:32:34,094 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0612 +[2025-03-25 06:32:34,128 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3361 +[2025-03-25 06:32:34,159 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4233 +[2025-03-25 06:32:34,191 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4729 +[2025-03-25 06:32:34,219 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2832 +[2025-03-25 06:32:34,274 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5145 +[2025-03-25 06:32:34,317 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7361 +[2025-03-25 06:32:34,354 INFO hook.py line 748 195048] Test: [41/78] Loss 0.9276 +[2025-03-25 06:32:34,384 INFO hook.py line 748 195048] Test: [42/78] Loss 0.4054 +[2025-03-25 06:32:34,417 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2561 +[2025-03-25 06:32:34,469 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5846 +[2025-03-25 06:32:34,506 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5854 +[2025-03-25 06:32:34,547 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8465 +[2025-03-25 06:32:34,582 INFO hook.py line 748 195048] Test: [47/78] Loss 2.6301 +[2025-03-25 06:32:34,613 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6413 +[2025-03-25 06:32:34,648 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7995 +[2025-03-25 06:32:34,681 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1993 +[2025-03-25 06:32:34,708 INFO hook.py line 748 195048] Test: [51/78] Loss 1.5568 +[2025-03-25 06:32:34,742 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9461 +[2025-03-25 06:32:34,776 INFO hook.py line 748 195048] Test: [53/78] Loss 0.2637 +[2025-03-25 06:32:34,813 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4417 +[2025-03-25 06:32:34,850 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0524 +[2025-03-25 06:32:34,885 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2345 +[2025-03-25 06:32:34,914 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8584 +[2025-03-25 06:32:34,938 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5756 +[2025-03-25 06:32:34,973 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8403 +[2025-03-25 06:32:35,002 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7397 +[2025-03-25 06:32:35,022 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6882 +[2025-03-25 06:32:35,051 INFO hook.py line 748 195048] Test: [62/78] Loss 0.6576 +[2025-03-25 06:32:35,084 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3448 +[2025-03-25 06:32:35,134 INFO hook.py line 748 195048] Test: [64/78] Loss 1.8546 +[2025-03-25 06:32:35,157 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9059 +[2025-03-25 06:32:35,194 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8805 +[2025-03-25 06:32:35,229 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4050 +[2025-03-25 06:32:35,258 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1103 +[2025-03-25 06:32:35,284 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3824 +[2025-03-25 06:32:35,336 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5687 +[2025-03-25 06:32:35,374 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8921 +[2025-03-25 06:32:35,419 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3945 +[2025-03-25 06:32:35,463 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5885 +[2025-03-25 06:32:35,501 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2888 +[2025-03-25 06:32:35,547 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6158 +[2025-03-25 06:32:35,573 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6670 +[2025-03-25 06:32:35,623 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5419 +[2025-03-25 06:32:35,646 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6703 +[2025-03-25 06:32:36,574 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:32:36,574 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:32:36,574 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] wall : 0.8218 0.9204 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] floor : 0.9563 0.9825 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] cabinet : 0.5616 0.7318 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] bed : 0.7563 0.8213 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] chair : 0.8738 0.9463 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] sofa : 0.8089 0.8847 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] table : 0.6689 0.7850 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] door : 0.5874 0.7179 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] window : 0.5099 0.6776 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] bookshelf : 0.7467 0.8604 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] picture : 0.2433 0.2973 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] counter : 0.5690 0.6842 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] desk : 0.5483 0.7098 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] curtain : 0.6531 0.8518 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] refridgerator : 0.4118 0.4524 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] shower curtain : 0.5650 0.6057 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] toilet : 0.8844 0.9400 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] sink : 0.5553 0.6645 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] bathtub : 0.8326 0.9128 +[2025-03-25 06:32:36,574 INFO hook.py line 689 195048] otherfurniture : 0.5101 0.6213 +[2025-03-25 06:32:36,574 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:32:36,574 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6532/0.7534/0.8772. +[2025-03-25 06:32:36,575 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:32:36,584 INFO misc.py line 164 195048] Currently Best mIoU: 0.6709 +[2025-03-25 06:32:36,584 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:32:50,056 INFO hook.py line 566 195048] Train: [75/100][50/400] Data 0.002 (0.003) Batch 0.171 (0.200) Remain 00:34:32 loss: 0.3837 Lr: 5.17616e-04 +[2025-03-25 06:32:59,993 INFO hook.py line 566 195048] Train: [75/100][100/400] Data 0.003 (0.003) Batch 0.208 (0.199) Remain 00:34:14 loss: 0.1905 Lr: 5.12940e-04 +[2025-03-25 06:33:10,024 INFO hook.py line 566 195048] Train: [75/100][150/400] Data 0.003 (0.003) Batch 0.180 (0.200) Remain 00:34:08 loss: 0.0977 Lr: 5.08281e-04 +[2025-03-25 06:33:20,035 INFO hook.py line 566 195048] Train: [75/100][200/400] Data 0.004 (0.003) Batch 0.192 (0.200) Remain 00:33:59 loss: 0.1928 Lr: 5.03639e-04 +[2025-03-25 06:33:29,828 INFO hook.py line 566 195048] Train: [75/100][250/400] Data 0.002 (0.003) Batch 0.171 (0.199) Remain 00:33:41 loss: 0.0398 Lr: 4.99014e-04 +[2025-03-25 06:33:39,671 INFO hook.py line 566 195048] Train: [75/100][300/400] Data 0.002 (0.003) Batch 0.208 (0.199) Remain 00:33:27 loss: 0.4194 Lr: 4.94406e-04 +[2025-03-25 06:33:49,587 INFO hook.py line 566 195048] Train: [75/100][350/400] Data 0.004 (0.003) Batch 0.183 (0.199) Remain 00:33:16 loss: 0.0519 Lr: 4.89815e-04 +[2025-03-25 06:33:58,660 INFO hook.py line 566 195048] Train: [75/100][400/400] Data 0.001 (0.003) Batch 0.146 (0.197) Remain 00:32:45 loss: 0.0758 Lr: 4.85242e-04 +[2025-03-25 06:33:58,660 INFO misc.py line 135 195048] Train result: loss: 0.2529 +[2025-03-25 06:33:58,749 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:34:09,868 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1779 +[2025-03-25 06:34:09,929 INFO hook.py line 748 195048] Test: [2/78] Loss 0.4622 +[2025-03-25 06:34:09,977 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3452 +[2025-03-25 06:34:10,019 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5355 +[2025-03-25 06:34:10,054 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4503 +[2025-03-25 06:34:10,104 INFO hook.py line 748 195048] Test: [6/78] Loss 2.0534 +[2025-03-25 06:34:10,150 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5129 +[2025-03-25 06:34:10,182 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4524 +[2025-03-25 06:34:10,230 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1226 +[2025-03-25 06:34:10,265 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7000 +[2025-03-25 06:34:10,309 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6592 +[2025-03-25 06:34:10,338 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2252 +[2025-03-25 06:34:10,381 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4574 +[2025-03-25 06:34:10,415 INFO hook.py line 748 195048] Test: [14/78] Loss 2.4631 +[2025-03-25 06:34:10,448 INFO hook.py line 748 195048] Test: [15/78] Loss 2.3934 +[2025-03-25 06:34:10,490 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1336 +[2025-03-25 06:34:10,534 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5383 +[2025-03-25 06:34:10,567 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9551 +[2025-03-25 06:34:10,615 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0195 +[2025-03-25 06:34:10,644 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1956 +[2025-03-25 06:34:10,676 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2962 +[2025-03-25 06:34:10,713 INFO hook.py line 748 195048] Test: [22/78] Loss 1.5231 +[2025-03-25 06:34:10,747 INFO hook.py line 748 195048] Test: [23/78] Loss 1.0591 +[2025-03-25 06:34:10,785 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9152 +[2025-03-25 06:34:10,826 INFO hook.py line 748 195048] Test: [25/78] Loss 0.5878 +[2025-03-25 06:34:10,866 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5841 +[2025-03-25 06:34:10,911 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5237 +[2025-03-25 06:34:10,940 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3678 +[2025-03-25 06:34:10,974 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2739 +[2025-03-25 06:34:11,025 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5300 +[2025-03-25 06:34:11,079 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4817 +[2025-03-25 06:34:11,111 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8364 +[2025-03-25 06:34:11,157 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2408 +[2025-03-25 06:34:11,196 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2821 +[2025-03-25 06:34:11,230 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4691 +[2025-03-25 06:34:11,261 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2800 +[2025-03-25 06:34:11,297 INFO hook.py line 748 195048] Test: [37/78] Loss 0.4720 +[2025-03-25 06:34:11,326 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3208 +[2025-03-25 06:34:11,380 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4488 +[2025-03-25 06:34:11,422 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7883 +[2025-03-25 06:34:11,463 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0906 +[2025-03-25 06:34:11,487 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3577 +[2025-03-25 06:34:11,519 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2532 +[2025-03-25 06:34:11,572 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5938 +[2025-03-25 06:34:11,603 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5101 +[2025-03-25 06:34:11,644 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9325 +[2025-03-25 06:34:11,688 INFO hook.py line 748 195048] Test: [47/78] Loss 2.3991 +[2025-03-25 06:34:11,720 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6905 +[2025-03-25 06:34:11,751 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4260 +[2025-03-25 06:34:11,784 INFO hook.py line 748 195048] Test: [50/78] Loss 0.9295 +[2025-03-25 06:34:11,810 INFO hook.py line 748 195048] Test: [51/78] Loss 1.5575 +[2025-03-25 06:34:11,843 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9432 +[2025-03-25 06:34:11,880 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4187 +[2025-03-25 06:34:11,916 INFO hook.py line 748 195048] Test: [54/78] Loss 2.2448 +[2025-03-25 06:34:11,951 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0516 +[2025-03-25 06:34:11,987 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2548 +[2025-03-25 06:34:12,015 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6763 +[2025-03-25 06:34:12,038 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5749 +[2025-03-25 06:34:12,072 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8269 +[2025-03-25 06:34:12,100 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7469 +[2025-03-25 06:34:12,120 INFO hook.py line 748 195048] Test: [61/78] Loss 0.5065 +[2025-03-25 06:34:12,149 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5219 +[2025-03-25 06:34:12,181 INFO hook.py line 748 195048] Test: [63/78] Loss 1.0184 +[2025-03-25 06:34:12,231 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3750 +[2025-03-25 06:34:12,255 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8508 +[2025-03-25 06:34:12,292 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7173 +[2025-03-25 06:34:12,326 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3988 +[2025-03-25 06:34:12,354 INFO hook.py line 748 195048] Test: [68/78] Loss 0.9029 +[2025-03-25 06:34:12,380 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3523 +[2025-03-25 06:34:12,432 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5797 +[2025-03-25 06:34:12,470 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8098 +[2025-03-25 06:34:12,516 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5075 +[2025-03-25 06:34:12,559 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4374 +[2025-03-25 06:34:12,597 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2653 +[2025-03-25 06:34:12,642 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7745 +[2025-03-25 06:34:12,667 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6180 +[2025-03-25 06:34:12,717 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7452 +[2025-03-25 06:34:12,740 INFO hook.py line 748 195048] Test: [78/78] Loss 0.4835 +[2025-03-25 06:34:13,750 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:34:13,750 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:34:13,750 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:34:13,750 INFO hook.py line 689 195048] wall : 0.8199 0.9196 +[2025-03-25 06:34:13,750 INFO hook.py line 689 195048] floor : 0.9557 0.9813 +[2025-03-25 06:34:13,750 INFO hook.py line 689 195048] cabinet : 0.5800 0.7542 +[2025-03-25 06:34:13,750 INFO hook.py line 689 195048] bed : 0.7540 0.8219 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] chair : 0.8759 0.9383 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] sofa : 0.8220 0.8915 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] table : 0.6867 0.7699 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] door : 0.5798 0.7541 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] window : 0.5142 0.7207 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] bookshelf : 0.7507 0.8807 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] picture : 0.2461 0.3445 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] counter : 0.5553 0.6806 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] desk : 0.5594 0.7997 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] curtain : 0.6550 0.7074 +[2025-03-25 06:34:13,751 INFO hook.py line 689 195048] refridgerator : 0.4101 0.4712 +[2025-03-25 06:34:13,752 INFO hook.py line 689 195048] shower curtain : 0.6166 0.7251 +[2025-03-25 06:34:13,752 INFO hook.py line 689 195048] toilet : 0.8958 0.9419 +[2025-03-25 06:34:13,752 INFO hook.py line 689 195048] sink : 0.5777 0.6898 +[2025-03-25 06:34:13,752 INFO hook.py line 689 195048] bathtub : 0.8696 0.9145 +[2025-03-25 06:34:13,752 INFO hook.py line 689 195048] otherfurniture : 0.5059 0.5650 +[2025-03-25 06:34:13,752 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:34:13,752 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6615/0.7636/0.8777. +[2025-03-25 06:34:13,753 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:34:13,768 INFO misc.py line 164 195048] Currently Best mIoU: 0.6709 +[2025-03-25 06:34:13,769 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:34:27,368 INFO hook.py line 566 195048] Train: [76/100][50/400] Data 0.002 (0.003) Batch 0.198 (0.209) Remain 00:34:36 loss: 0.1955 Lr: 4.80686e-04 +[2025-03-25 06:34:37,108 INFO hook.py line 566 195048] Train: [76/100][100/400] Data 0.004 (0.003) Batch 0.210 (0.202) Remain 00:33:15 loss: 0.1061 Lr: 4.76147e-04 +[2025-03-25 06:34:47,028 INFO hook.py line 566 195048] Train: [76/100][150/400] Data 0.002 (0.003) Batch 0.196 (0.200) Remain 00:32:54 loss: 0.2885 Lr: 4.71626e-04 +[2025-03-25 06:34:57,116 INFO hook.py line 566 195048] Train: [76/100][200/400] Data 0.005 (0.003) Batch 0.222 (0.201) Remain 00:32:47 loss: 0.2408 Lr: 4.67122e-04 +[2025-03-25 06:35:06,986 INFO hook.py line 566 195048] Train: [76/100][250/400] Data 0.003 (0.003) Batch 0.186 (0.200) Remain 00:32:31 loss: 0.3765 Lr: 4.62636e-04 +[2025-03-25 06:35:16,974 INFO hook.py line 566 195048] Train: [76/100][300/400] Data 0.002 (0.003) Batch 0.197 (0.200) Remain 00:32:20 loss: 0.4345 Lr: 4.58168e-04 +[2025-03-25 06:35:26,813 INFO hook.py line 566 195048] Train: [76/100][350/400] Data 0.003 (0.003) Batch 0.182 (0.200) Remain 00:32:05 loss: 0.1284 Lr: 4.53717e-04 +[2025-03-25 06:35:35,753 INFO hook.py line 566 195048] Train: [76/100][400/400] Data 0.001 (0.003) Batch 0.136 (0.197) Remain 00:31:30 loss: 0.5056 Lr: 4.49284e-04 +[2025-03-25 06:35:35,753 INFO misc.py line 135 195048] Train result: loss: 0.2327 +[2025-03-25 06:35:35,846 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:35:46,417 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1563 +[2025-03-25 06:35:46,461 INFO hook.py line 748 195048] Test: [2/78] Loss 0.9178 +[2025-03-25 06:35:46,597 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5355 +[2025-03-25 06:35:46,647 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6101 +[2025-03-25 06:35:46,720 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3835 +[2025-03-25 06:35:46,785 INFO hook.py line 748 195048] Test: [6/78] Loss 1.9151 +[2025-03-25 06:35:46,835 INFO hook.py line 748 195048] Test: [7/78] Loss 0.4573 +[2025-03-25 06:35:47,152 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3863 +[2025-03-25 06:35:47,196 INFO hook.py line 748 195048] Test: [9/78] Loss 0.8986 +[2025-03-25 06:35:47,225 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5509 +[2025-03-25 06:35:47,266 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5711 +[2025-03-25 06:35:47,297 INFO hook.py line 748 195048] Test: [12/78] Loss 1.0022 +[2025-03-25 06:35:47,341 INFO hook.py line 748 195048] Test: [13/78] Loss 2.7191 +[2025-03-25 06:35:47,382 INFO hook.py line 748 195048] Test: [14/78] Loss 2.2194 +[2025-03-25 06:35:47,416 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8456 +[2025-03-25 06:35:47,458 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1651 +[2025-03-25 06:35:47,494 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5501 +[2025-03-25 06:35:47,525 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7881 +[2025-03-25 06:35:47,576 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9088 +[2025-03-25 06:35:47,604 INFO hook.py line 748 195048] Test: [20/78] Loss 1.1457 +[2025-03-25 06:35:47,636 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3156 +[2025-03-25 06:35:47,673 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6054 +[2025-03-25 06:35:47,704 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7839 +[2025-03-25 06:35:47,746 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0192 +[2025-03-25 06:35:47,785 INFO hook.py line 748 195048] Test: [25/78] Loss 0.7146 +[2025-03-25 06:35:47,832 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5294 +[2025-03-25 06:35:47,877 INFO hook.py line 748 195048] Test: [27/78] Loss 1.1831 +[2025-03-25 06:35:47,907 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4739 +[2025-03-25 06:35:47,935 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3288 +[2025-03-25 06:35:47,984 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6164 +[2025-03-25 06:35:48,046 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5280 +[2025-03-25 06:35:48,080 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6708 +[2025-03-25 06:35:48,127 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2799 +[2025-03-25 06:35:48,162 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1307 +[2025-03-25 06:35:48,199 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5292 +[2025-03-25 06:35:48,234 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3329 +[2025-03-25 06:35:48,273 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5762 +[2025-03-25 06:35:48,302 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3610 +[2025-03-25 06:35:48,356 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5511 +[2025-03-25 06:35:48,397 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7180 +[2025-03-25 06:35:48,438 INFO hook.py line 748 195048] Test: [41/78] Loss 1.0762 +[2025-03-25 06:35:48,460 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2141 +[2025-03-25 06:35:48,492 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2396 +[2025-03-25 06:35:48,547 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5479 +[2025-03-25 06:35:48,579 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6736 +[2025-03-25 06:35:48,621 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8573 +[2025-03-25 06:35:48,663 INFO hook.py line 748 195048] Test: [47/78] Loss 2.5245 +[2025-03-25 06:35:48,695 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6900 +[2025-03-25 06:35:48,731 INFO hook.py line 748 195048] Test: [49/78] Loss 1.4788 +[2025-03-25 06:35:48,780 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0804 +[2025-03-25 06:35:48,811 INFO hook.py line 748 195048] Test: [51/78] Loss 1.3870 +[2025-03-25 06:35:48,848 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0859 +[2025-03-25 06:35:48,876 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3909 +[2025-03-25 06:35:48,912 INFO hook.py line 748 195048] Test: [54/78] Loss 2.1412 +[2025-03-25 06:35:48,950 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0501 +[2025-03-25 06:35:48,985 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2631 +[2025-03-25 06:35:49,014 INFO hook.py line 748 195048] Test: [57/78] Loss 0.6659 +[2025-03-25 06:35:49,037 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5734 +[2025-03-25 06:35:49,071 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8538 +[2025-03-25 06:35:49,100 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6280 +[2025-03-25 06:35:49,120 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6399 +[2025-03-25 06:35:49,149 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4913 +[2025-03-25 06:35:49,180 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2886 +[2025-03-25 06:35:49,231 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3005 +[2025-03-25 06:35:49,254 INFO hook.py line 748 195048] Test: [65/78] Loss 0.7894 +[2025-03-25 06:35:49,291 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6196 +[2025-03-25 06:35:49,325 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3494 +[2025-03-25 06:35:49,354 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0257 +[2025-03-25 06:35:49,380 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3525 +[2025-03-25 06:35:49,432 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3946 +[2025-03-25 06:35:49,470 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8290 +[2025-03-25 06:35:49,516 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5520 +[2025-03-25 06:35:49,560 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4660 +[2025-03-25 06:35:49,597 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2222 +[2025-03-25 06:35:49,643 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7666 +[2025-03-25 06:35:49,668 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9070 +[2025-03-25 06:35:49,718 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6716 +[2025-03-25 06:35:49,740 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5956 +[2025-03-25 06:35:50,643 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:35:50,644 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:35:50,644 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] wall : 0.8185 0.9161 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] floor : 0.9557 0.9845 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] cabinet : 0.5790 0.7588 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] bed : 0.7575 0.8554 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] chair : 0.8803 0.9358 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] sofa : 0.7902 0.9016 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] table : 0.6786 0.7831 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] door : 0.5874 0.7104 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] window : 0.5192 0.6521 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] bookshelf : 0.7446 0.8840 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] picture : 0.2486 0.4246 +[2025-03-25 06:35:50,644 INFO hook.py line 689 195048] counter : 0.4891 0.6211 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] desk : 0.5665 0.7499 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] curtain : 0.6812 0.8068 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] refridgerator : 0.4563 0.4874 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] shower curtain : 0.6392 0.7577 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] toilet : 0.8777 0.9383 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] sink : 0.5739 0.7293 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] bathtub : 0.8483 0.9152 +[2025-03-25 06:35:50,645 INFO hook.py line 689 195048] otherfurniture : 0.5173 0.6081 +[2025-03-25 06:35:50,645 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:35:50,645 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6605/0.7710/0.8781. +[2025-03-25 06:35:50,645 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:35:50,656 INFO misc.py line 164 195048] Currently Best mIoU: 0.6709 +[2025-03-25 06:35:50,656 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:36:03,765 INFO hook.py line 566 195048] Train: [77/100][50/400] Data 0.004 (0.003) Batch 0.196 (0.206) Remain 00:32:42 loss: 0.1808 Lr: 4.44870e-04 +[2025-03-25 06:36:13,878 INFO hook.py line 566 195048] Train: [77/100][100/400] Data 0.003 (0.003) Batch 0.179 (0.204) Remain 00:32:16 loss: 0.1820 Lr: 4.40473e-04 +[2025-03-25 06:36:23,708 INFO hook.py line 566 195048] Train: [77/100][150/400] Data 0.002 (0.003) Batch 0.194 (0.201) Remain 00:31:43 loss: 0.1601 Lr: 4.36095e-04 +[2025-03-25 06:36:33,740 INFO hook.py line 566 195048] Train: [77/100][200/400] Data 0.002 (0.003) Batch 0.196 (0.201) Remain 00:31:31 loss: 0.1625 Lr: 4.31734e-04 +[2025-03-25 06:36:43,958 INFO hook.py line 566 195048] Train: [77/100][250/400] Data 0.002 (0.003) Batch 0.209 (0.202) Remain 00:31:27 loss: 0.1505 Lr: 4.27392e-04 +[2025-03-25 06:36:53,861 INFO hook.py line 566 195048] Train: [77/100][300/400] Data 0.002 (0.003) Batch 0.206 (0.201) Remain 00:31:11 loss: 0.3050 Lr: 4.23068e-04 +[2025-03-25 06:37:03,543 INFO hook.py line 566 195048] Train: [77/100][350/400] Data 0.002 (0.003) Batch 0.194 (0.200) Remain 00:30:50 loss: 0.2828 Lr: 4.18763e-04 +[2025-03-25 06:37:12,537 INFO hook.py line 566 195048] Train: [77/100][400/400] Data 0.001 (0.003) Batch 0.151 (0.198) Remain 00:30:17 loss: 0.3012 Lr: 4.14476e-04 +[2025-03-25 06:37:12,537 INFO misc.py line 135 195048] Train result: loss: 0.2300 +[2025-03-25 06:37:12,623 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:37:23,112 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1602 +[2025-03-25 06:37:23,155 INFO hook.py line 748 195048] Test: [2/78] Loss 0.5679 +[2025-03-25 06:37:23,190 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4355 +[2025-03-25 06:37:23,562 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6981 +[2025-03-25 06:37:23,601 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4020 +[2025-03-25 06:37:23,650 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8993 +[2025-03-25 06:37:23,697 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6270 +[2025-03-25 06:37:23,726 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4530 +[2025-03-25 06:37:23,770 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1422 +[2025-03-25 06:37:24,327 INFO hook.py line 748 195048] Test: [10/78] Loss 0.8111 +[2025-03-25 06:37:24,368 INFO hook.py line 748 195048] Test: [11/78] Loss 0.5207 +[2025-03-25 06:37:24,402 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2493 +[2025-03-25 06:37:24,444 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5377 +[2025-03-25 06:37:24,481 INFO hook.py line 748 195048] Test: [14/78] Loss 2.4131 +[2025-03-25 06:37:24,513 INFO hook.py line 748 195048] Test: [15/78] Loss 1.4887 +[2025-03-25 06:37:24,554 INFO hook.py line 748 195048] Test: [16/78] Loss 0.2404 +[2025-03-25 06:37:24,590 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5848 +[2025-03-25 06:37:24,622 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9151 +[2025-03-25 06:37:24,664 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0263 +[2025-03-25 06:37:24,695 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3436 +[2025-03-25 06:37:24,731 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2876 +[2025-03-25 06:37:24,767 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6518 +[2025-03-25 06:37:24,791 INFO hook.py line 748 195048] Test: [23/78] Loss 0.6886 +[2025-03-25 06:37:24,840 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0481 +[2025-03-25 06:37:24,877 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0038 +[2025-03-25 06:37:24,913 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5495 +[2025-03-25 06:37:24,967 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2019 +[2025-03-25 06:37:24,997 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4857 +[2025-03-25 06:37:25,029 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2875 +[2025-03-25 06:37:25,077 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5636 +[2025-03-25 06:37:25,132 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4783 +[2025-03-25 06:37:25,171 INFO hook.py line 748 195048] Test: [32/78] Loss 0.8054 +[2025-03-25 06:37:25,220 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2894 +[2025-03-25 06:37:25,258 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1859 +[2025-03-25 06:37:25,297 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3392 +[2025-03-25 06:37:25,331 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4730 +[2025-03-25 06:37:25,363 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5405 +[2025-03-25 06:37:25,400 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2615 +[2025-03-25 06:37:25,458 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5817 +[2025-03-25 06:37:25,503 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9162 +[2025-03-25 06:37:25,541 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1848 +[2025-03-25 06:37:25,564 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2852 +[2025-03-25 06:37:25,597 INFO hook.py line 748 195048] Test: [43/78] Loss 0.1835 +[2025-03-25 06:37:25,656 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5143 +[2025-03-25 06:37:25,687 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5837 +[2025-03-25 06:37:25,730 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8269 +[2025-03-25 06:37:25,765 INFO hook.py line 748 195048] Test: [47/78] Loss 2.5188 +[2025-03-25 06:37:25,796 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6427 +[2025-03-25 06:37:25,828 INFO hook.py line 748 195048] Test: [49/78] Loss 1.5470 +[2025-03-25 06:37:25,862 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1643 +[2025-03-25 06:37:25,897 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8923 +[2025-03-25 06:37:25,932 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9327 +[2025-03-25 06:37:25,962 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3414 +[2025-03-25 06:37:26,000 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3004 +[2025-03-25 06:37:26,034 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0609 +[2025-03-25 06:37:26,070 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2742 +[2025-03-25 06:37:26,100 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9377 +[2025-03-25 06:37:26,123 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6015 +[2025-03-25 06:37:26,158 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8326 +[2025-03-25 06:37:26,186 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6548 +[2025-03-25 06:37:26,206 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7155 +[2025-03-25 06:37:26,235 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4974 +[2025-03-25 06:37:26,267 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2023 +[2025-03-25 06:37:26,318 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3106 +[2025-03-25 06:37:26,341 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8263 +[2025-03-25 06:37:26,378 INFO hook.py line 748 195048] Test: [66/78] Loss 1.1789 +[2025-03-25 06:37:26,412 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3787 +[2025-03-25 06:37:26,441 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1572 +[2025-03-25 06:37:26,467 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3271 +[2025-03-25 06:37:26,520 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4218 +[2025-03-25 06:37:26,557 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8265 +[2025-03-25 06:37:26,603 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4357 +[2025-03-25 06:37:26,647 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5675 +[2025-03-25 06:37:26,685 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1707 +[2025-03-25 06:37:26,731 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6903 +[2025-03-25 06:37:26,756 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7514 +[2025-03-25 06:37:26,805 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6860 +[2025-03-25 06:37:26,828 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5976 +[2025-03-25 06:37:27,885 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:37:27,886 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:37:27,886 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:37:27,886 INFO hook.py line 689 195048] wall : 0.8232 0.9233 +[2025-03-25 06:37:27,886 INFO hook.py line 689 195048] floor : 0.9558 0.9846 +[2025-03-25 06:37:27,886 INFO hook.py line 689 195048] cabinet : 0.5867 0.7266 +[2025-03-25 06:37:27,886 INFO hook.py line 689 195048] bed : 0.7755 0.8514 +[2025-03-25 06:37:27,886 INFO hook.py line 689 195048] chair : 0.8774 0.9349 +[2025-03-25 06:37:27,886 INFO hook.py line 689 195048] sofa : 0.7758 0.8687 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] table : 0.6836 0.8170 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] door : 0.5666 0.6961 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] window : 0.5267 0.7155 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] bookshelf : 0.7459 0.8355 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] picture : 0.2619 0.4223 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] counter : 0.5767 0.7141 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] desk : 0.5127 0.6213 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] curtain : 0.6871 0.8305 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] refridgerator : 0.4198 0.4443 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] shower curtain : 0.6155 0.6997 +[2025-03-25 06:37:27,887 INFO hook.py line 689 195048] toilet : 0.8907 0.9515 +[2025-03-25 06:37:27,888 INFO hook.py line 689 195048] sink : 0.5875 0.6673 +[2025-03-25 06:37:27,888 INFO hook.py line 689 195048] bathtub : 0.8490 0.8971 +[2025-03-25 06:37:27,888 INFO hook.py line 689 195048] otherfurniture : 0.5224 0.6350 +[2025-03-25 06:37:27,888 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:37:27,888 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6620/0.7618/0.8787. +[2025-03-25 06:37:27,889 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:37:27,900 INFO misc.py line 164 195048] Currently Best mIoU: 0.6709 +[2025-03-25 06:37:27,902 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:37:41,123 INFO hook.py line 566 195048] Train: [78/100][50/400] Data 0.003 (0.003) Batch 0.201 (0.196) Remain 00:29:53 loss: 0.0370 Lr: 4.10208e-04 +[2025-03-25 06:37:51,125 INFO hook.py line 566 195048] Train: [78/100][100/400] Data 0.004 (0.003) Batch 0.214 (0.198) Remain 00:30:02 loss: 0.2976 Lr: 4.05958e-04 +[2025-03-25 06:38:01,140 INFO hook.py line 566 195048] Train: [78/100][150/400] Data 0.004 (0.003) Batch 0.197 (0.199) Remain 00:29:59 loss: 0.3228 Lr: 4.01727e-04 +[2025-03-25 06:38:11,193 INFO hook.py line 566 195048] Train: [78/100][200/400] Data 0.002 (0.003) Batch 0.197 (0.199) Remain 00:29:54 loss: 0.0385 Lr: 3.97515e-04 +[2025-03-25 06:38:21,044 INFO hook.py line 566 195048] Train: [78/100][250/400] Data 0.004 (0.003) Batch 0.197 (0.199) Remain 00:29:40 loss: 0.0381 Lr: 3.93321e-04 +[2025-03-25 06:38:30,759 INFO hook.py line 566 195048] Train: [78/100][300/400] Data 0.003 (0.003) Batch 0.189 (0.198) Remain 00:29:23 loss: 0.3982 Lr: 3.89147e-04 +[2025-03-25 06:38:40,702 INFO hook.py line 566 195048] Train: [78/100][350/400] Data 0.003 (0.003) Batch 0.205 (0.198) Remain 00:29:14 loss: 0.2143 Lr: 3.84991e-04 +[2025-03-25 06:38:49,772 INFO hook.py line 566 195048] Train: [78/100][400/400] Data 0.001 (0.003) Batch 0.158 (0.196) Remain 00:28:45 loss: 0.1592 Lr: 3.80855e-04 +[2025-03-25 06:38:49,773 INFO misc.py line 135 195048] Train result: loss: 0.2338 +[2025-03-25 06:38:49,857 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:39:00,496 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1619 +[2025-03-25 06:39:00,546 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8301 +[2025-03-25 06:39:01,034 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4817 +[2025-03-25 06:39:01,121 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5351 +[2025-03-25 06:39:01,157 INFO hook.py line 748 195048] Test: [5/78] Loss 0.2956 +[2025-03-25 06:39:01,216 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8478 +[2025-03-25 06:39:01,263 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5627 +[2025-03-25 06:39:01,287 INFO hook.py line 748 195048] Test: [8/78] Loss 0.4088 +[2025-03-25 06:39:01,329 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9726 +[2025-03-25 06:39:01,358 INFO hook.py line 748 195048] Test: [10/78] Loss 0.9023 +[2025-03-25 06:39:01,400 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7007 +[2025-03-25 06:39:01,514 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3083 +[2025-03-25 06:39:01,558 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4528 +[2025-03-25 06:39:01,591 INFO hook.py line 748 195048] Test: [14/78] Loss 2.3019 +[2025-03-25 06:39:01,628 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9587 +[2025-03-25 06:39:01,668 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1503 +[2025-03-25 06:39:01,703 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5765 +[2025-03-25 06:39:01,733 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7684 +[2025-03-25 06:39:01,771 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0383 +[2025-03-25 06:39:01,802 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2633 +[2025-03-25 06:39:01,835 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2595 +[2025-03-25 06:39:01,871 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7459 +[2025-03-25 06:39:01,897 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7426 +[2025-03-25 06:39:01,937 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0452 +[2025-03-25 06:39:01,978 INFO hook.py line 748 195048] Test: [25/78] Loss 0.6436 +[2025-03-25 06:39:02,015 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6373 +[2025-03-25 06:39:02,062 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2638 +[2025-03-25 06:39:02,091 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4520 +[2025-03-25 06:39:02,116 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2605 +[2025-03-25 06:39:02,166 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5836 +[2025-03-25 06:39:02,223 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4937 +[2025-03-25 06:39:02,254 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6443 +[2025-03-25 06:39:02,302 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2186 +[2025-03-25 06:39:02,340 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1212 +[2025-03-25 06:39:02,376 INFO hook.py line 748 195048] Test: [35/78] Loss 0.5754 +[2025-03-25 06:39:02,407 INFO hook.py line 748 195048] Test: [36/78] Loss 1.2988 +[2025-03-25 06:39:02,441 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5782 +[2025-03-25 06:39:02,478 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2824 +[2025-03-25 06:39:02,532 INFO hook.py line 748 195048] Test: [39/78] Loss 1.0592 +[2025-03-25 06:39:02,572 INFO hook.py line 748 195048] Test: [40/78] Loss 1.7475 +[2025-03-25 06:39:02,614 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1841 +[2025-03-25 06:39:02,641 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2741 +[2025-03-25 06:39:02,673 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2209 +[2025-03-25 06:39:02,727 INFO hook.py line 748 195048] Test: [44/78] Loss 0.4984 +[2025-03-25 06:39:02,756 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5246 +[2025-03-25 06:39:02,798 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8804 +[2025-03-25 06:39:02,840 INFO hook.py line 748 195048] Test: [47/78] Loss 2.3608 +[2025-03-25 06:39:02,871 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6684 +[2025-03-25 06:39:02,902 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6659 +[2025-03-25 06:39:02,939 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1510 +[2025-03-25 06:39:02,969 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2465 +[2025-03-25 06:39:03,007 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0282 +[2025-03-25 06:39:03,036 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3333 +[2025-03-25 06:39:03,072 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6020 +[2025-03-25 06:39:03,107 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0520 +[2025-03-25 06:39:03,142 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2672 +[2025-03-25 06:39:03,170 INFO hook.py line 748 195048] Test: [57/78] Loss 1.0754 +[2025-03-25 06:39:03,193 INFO hook.py line 748 195048] Test: [58/78] Loss 0.7995 +[2025-03-25 06:39:03,228 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8333 +[2025-03-25 06:39:03,257 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6142 +[2025-03-25 06:39:03,276 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7026 +[2025-03-25 06:39:03,305 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4704 +[2025-03-25 06:39:03,337 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2930 +[2025-03-25 06:39:03,388 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3192 +[2025-03-25 06:39:03,411 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9629 +[2025-03-25 06:39:03,448 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8958 +[2025-03-25 06:39:03,482 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3102 +[2025-03-25 06:39:03,511 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0167 +[2025-03-25 06:39:03,537 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3181 +[2025-03-25 06:39:03,589 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3242 +[2025-03-25 06:39:03,627 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8517 +[2025-03-25 06:39:03,672 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3616 +[2025-03-25 06:39:03,715 INFO hook.py line 748 195048] Test: [73/78] Loss 0.5379 +[2025-03-25 06:39:03,753 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2677 +[2025-03-25 06:39:03,799 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6937 +[2025-03-25 06:39:03,824 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7419 +[2025-03-25 06:39:03,873 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6861 +[2025-03-25 06:39:03,896 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6766 +[2025-03-25 06:39:04,928 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:39:04,929 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:39:04,929 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:39:04,929 INFO hook.py line 689 195048] wall : 0.8208 0.9248 +[2025-03-25 06:39:04,929 INFO hook.py line 689 195048] floor : 0.9563 0.9839 +[2025-03-25 06:39:04,929 INFO hook.py line 689 195048] cabinet : 0.5757 0.6811 +[2025-03-25 06:39:04,929 INFO hook.py line 689 195048] bed : 0.7671 0.8462 +[2025-03-25 06:39:04,929 INFO hook.py line 689 195048] chair : 0.8841 0.9443 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] sofa : 0.8057 0.8735 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] table : 0.6879 0.7909 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] door : 0.6202 0.7734 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] window : 0.5283 0.6477 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] bookshelf : 0.7417 0.8874 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] picture : 0.2637 0.4381 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] counter : 0.5764 0.7106 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] desk : 0.5788 0.7679 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] curtain : 0.6938 0.8163 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] refridgerator : 0.4966 0.5811 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] shower curtain : 0.6146 0.7331 +[2025-03-25 06:39:04,930 INFO hook.py line 689 195048] toilet : 0.8872 0.9372 +[2025-03-25 06:39:04,931 INFO hook.py line 689 195048] sink : 0.5682 0.7107 +[2025-03-25 06:39:04,931 INFO hook.py line 689 195048] bathtub : 0.8061 0.9286 +[2025-03-25 06:39:04,931 INFO hook.py line 689 195048] otherfurniture : 0.5026 0.5964 +[2025-03-25 06:39:04,931 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:39:04,931 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6688/0.7787/0.8814. +[2025-03-25 06:39:04,933 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:39:04,946 INFO misc.py line 164 195048] Currently Best mIoU: 0.6709 +[2025-03-25 06:39:04,946 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:39:18,369 INFO hook.py line 566 195048] Train: [79/100][50/400] Data 0.002 (0.004) Batch 0.201 (0.206) Remain 00:30:02 loss: 0.0911 Lr: 3.76737e-04 +[2025-03-25 06:39:28,196 INFO hook.py line 566 195048] Train: [79/100][100/400] Data 0.004 (0.003) Batch 0.194 (0.201) Remain 00:29:09 loss: 0.3457 Lr: 3.72639e-04 +[2025-03-25 06:39:38,060 INFO hook.py line 566 195048] Train: [79/100][150/400] Data 0.004 (0.003) Batch 0.184 (0.200) Remain 00:28:48 loss: 0.0691 Lr: 3.68560e-04 +[2025-03-25 06:39:48,009 INFO hook.py line 566 195048] Train: [79/100][200/400] Data 0.002 (0.003) Batch 0.193 (0.200) Remain 00:28:36 loss: 0.0572 Lr: 3.64501e-04 +[2025-03-25 06:39:57,954 INFO hook.py line 566 195048] Train: [79/100][250/400] Data 0.003 (0.003) Batch 0.203 (0.199) Remain 00:28:25 loss: 0.5241 Lr: 3.60461e-04 +[2025-03-25 06:40:07,889 INFO hook.py line 566 195048] Train: [79/100][300/400] Data 0.002 (0.003) Batch 0.195 (0.199) Remain 00:28:14 loss: 0.0781 Lr: 3.56440e-04 +[2025-03-25 06:40:17,789 INFO hook.py line 566 195048] Train: [79/100][350/400] Data 0.004 (0.003) Batch 0.202 (0.199) Remain 00:28:02 loss: 0.0325 Lr: 3.52439e-04 +[2025-03-25 06:40:26,855 INFO hook.py line 566 195048] Train: [79/100][400/400] Data 0.001 (0.003) Batch 0.167 (0.197) Remain 00:27:33 loss: 0.1683 Lr: 3.48458e-04 +[2025-03-25 06:40:26,855 INFO misc.py line 135 195048] Train result: loss: 0.2167 +[2025-03-25 06:40:26,939 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:40:37,374 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1702 +[2025-03-25 06:40:37,555 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6904 +[2025-03-25 06:40:37,589 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4477 +[2025-03-25 06:40:37,642 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5792 +[2025-03-25 06:40:37,683 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5543 +[2025-03-25 06:40:37,733 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7255 +[2025-03-25 06:40:37,783 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5423 +[2025-03-25 06:40:38,000 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3682 +[2025-03-25 06:40:38,042 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1202 +[2025-03-25 06:40:38,073 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6788 +[2025-03-25 06:40:38,114 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7330 +[2025-03-25 06:40:38,143 INFO hook.py line 748 195048] Test: [12/78] Loss 1.1313 +[2025-03-25 06:40:38,187 INFO hook.py line 748 195048] Test: [13/78] Loss 1.8341 +[2025-03-25 06:40:38,223 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5377 +[2025-03-25 06:40:38,255 INFO hook.py line 748 195048] Test: [15/78] Loss 1.6125 +[2025-03-25 06:40:38,299 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1420 +[2025-03-25 06:40:38,334 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6303 +[2025-03-25 06:40:38,362 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7477 +[2025-03-25 06:40:38,404 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0808 +[2025-03-25 06:40:38,433 INFO hook.py line 748 195048] Test: [20/78] Loss 1.5348 +[2025-03-25 06:40:38,464 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2726 +[2025-03-25 06:40:38,500 INFO hook.py line 748 195048] Test: [22/78] Loss 1.4871 +[2025-03-25 06:40:38,524 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8458 +[2025-03-25 06:40:38,564 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0487 +[2025-03-25 06:40:38,602 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0075 +[2025-03-25 06:40:38,640 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5485 +[2025-03-25 06:40:38,688 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2089 +[2025-03-25 06:40:38,717 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4299 +[2025-03-25 06:40:38,742 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2701 +[2025-03-25 06:40:38,790 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6093 +[2025-03-25 06:40:38,846 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5443 +[2025-03-25 06:40:38,876 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6221 +[2025-03-25 06:40:38,931 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3133 +[2025-03-25 06:40:38,967 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1950 +[2025-03-25 06:40:39,005 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4709 +[2025-03-25 06:40:39,037 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3300 +[2025-03-25 06:40:39,069 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6474 +[2025-03-25 06:40:39,096 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3158 +[2025-03-25 06:40:39,150 INFO hook.py line 748 195048] Test: [39/78] Loss 1.1479 +[2025-03-25 06:40:39,192 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9213 +[2025-03-25 06:40:39,229 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1597 +[2025-03-25 06:40:39,262 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2718 +[2025-03-25 06:40:39,294 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2135 +[2025-03-25 06:40:39,345 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5897 +[2025-03-25 06:40:39,383 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6156 +[2025-03-25 06:40:39,427 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8775 +[2025-03-25 06:40:39,464 INFO hook.py line 748 195048] Test: [47/78] Loss 2.7474 +[2025-03-25 06:40:39,494 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6989 +[2025-03-25 06:40:39,530 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7399 +[2025-03-25 06:40:39,563 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2202 +[2025-03-25 06:40:39,590 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2118 +[2025-03-25 06:40:39,624 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0092 +[2025-03-25 06:40:39,652 INFO hook.py line 748 195048] Test: [53/78] Loss 0.5338 +[2025-03-25 06:40:39,709 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6645 +[2025-03-25 06:40:39,744 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0542 +[2025-03-25 06:40:39,780 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2964 +[2025-03-25 06:40:39,810 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7824 +[2025-03-25 06:40:39,833 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5766 +[2025-03-25 06:40:39,868 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8664 +[2025-03-25 06:40:39,896 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5555 +[2025-03-25 06:40:39,916 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7332 +[2025-03-25 06:40:39,945 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4411 +[2025-03-25 06:40:39,977 INFO hook.py line 748 195048] Test: [63/78] Loss 1.5063 +[2025-03-25 06:40:40,028 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4112 +[2025-03-25 06:40:40,051 INFO hook.py line 748 195048] Test: [65/78] Loss 0.7910 +[2025-03-25 06:40:40,088 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7667 +[2025-03-25 06:40:40,122 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3628 +[2025-03-25 06:40:40,151 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1090 +[2025-03-25 06:40:40,177 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3368 +[2025-03-25 06:40:40,229 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2224 +[2025-03-25 06:40:40,267 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7567 +[2025-03-25 06:40:40,312 INFO hook.py line 748 195048] Test: [72/78] Loss 0.5441 +[2025-03-25 06:40:40,356 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4122 +[2025-03-25 06:40:40,393 INFO hook.py line 748 195048] Test: [74/78] Loss 2.4143 +[2025-03-25 06:40:40,439 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7450 +[2025-03-25 06:40:40,464 INFO hook.py line 748 195048] Test: [76/78] Loss 1.0824 +[2025-03-25 06:40:40,513 INFO hook.py line 748 195048] Test: [77/78] Loss 0.2643 +[2025-03-25 06:40:40,536 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5974 +[2025-03-25 06:40:41,541 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:40:41,541 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:40:41,542 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] wall : 0.8243 0.9391 +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] floor : 0.9578 0.9799 +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] cabinet : 0.6032 0.7608 +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] bed : 0.7719 0.8383 +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] chair : 0.8811 0.9384 +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] sofa : 0.8160 0.8907 +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] table : 0.6891 0.7911 +[2025-03-25 06:40:41,542 INFO hook.py line 689 195048] door : 0.6031 0.7180 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] window : 0.5253 0.6396 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] bookshelf : 0.7438 0.8793 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] picture : 0.2803 0.3814 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] counter : 0.5612 0.6828 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] desk : 0.5673 0.7405 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] curtain : 0.6857 0.8402 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] refridgerator : 0.4752 0.5111 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] shower curtain : 0.6299 0.7016 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] toilet : 0.8785 0.9351 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] sink : 0.5618 0.6836 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] bathtub : 0.8632 0.9245 +[2025-03-25 06:40:41,543 INFO hook.py line 689 195048] otherfurniture : 0.5173 0.6008 +[2025-03-25 06:40:41,544 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:40:41,544 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6718/0.7688/0.8835. +[2025-03-25 06:40:41,545 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:40:41,549 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6718 +[2025-03-25 06:40:41,549 INFO misc.py line 164 195048] Currently Best mIoU: 0.6718 +[2025-03-25 06:40:41,550 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:40:54,913 INFO hook.py line 566 195048] Train: [80/100][50/400] Data 0.003 (0.003) Batch 0.185 (0.206) Remain 00:28:38 loss: 0.3945 Lr: 3.44496e-04 +[2025-03-25 06:41:04,883 INFO hook.py line 566 195048] Train: [80/100][100/400] Data 0.003 (0.003) Batch 0.190 (0.203) Remain 00:28:00 loss: 0.1478 Lr: 3.40554e-04 +[2025-03-25 06:41:14,776 INFO hook.py line 566 195048] Train: [80/100][150/400] Data 0.003 (0.003) Batch 0.182 (0.201) Remain 00:27:37 loss: 0.0272 Lr: 3.36631e-04 +[2025-03-25 06:41:24,838 INFO hook.py line 566 195048] Train: [80/100][200/400] Data 0.002 (0.003) Batch 0.188 (0.201) Remain 00:27:28 loss: 0.2227 Lr: 3.32729e-04 +[2025-03-25 06:41:34,623 INFO hook.py line 566 195048] Train: [80/100][250/400] Data 0.002 (0.003) Batch 0.221 (0.200) Remain 00:27:09 loss: 0.4315 Lr: 3.28847e-04 +[2025-03-25 06:41:44,403 INFO hook.py line 566 195048] Train: [80/100][300/400] Data 0.002 (0.003) Batch 0.182 (0.199) Remain 00:26:53 loss: 0.2681 Lr: 3.24984e-04 +[2025-03-25 06:41:54,276 INFO hook.py line 566 195048] Train: [80/100][350/400] Data 0.002 (0.003) Batch 0.210 (0.199) Remain 00:26:41 loss: 0.2101 Lr: 3.21142e-04 +[2025-03-25 06:42:03,243 INFO hook.py line 566 195048] Train: [80/100][400/400] Data 0.001 (0.003) Batch 0.162 (0.196) Remain 00:26:11 loss: 0.1106 Lr: 3.17320e-04 +[2025-03-25 06:42:03,243 INFO misc.py line 135 195048] Train result: loss: 0.2057 +[2025-03-25 06:42:03,338 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:42:13,925 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1615 +[2025-03-25 06:42:13,981 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6733 +[2025-03-25 06:42:14,019 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5631 +[2025-03-25 06:42:14,072 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5690 +[2025-03-25 06:42:14,401 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5216 +[2025-03-25 06:42:14,452 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7178 +[2025-03-25 06:42:14,499 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5597 +[2025-03-25 06:42:14,538 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3439 +[2025-03-25 06:42:14,579 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0841 +[2025-03-25 06:42:14,618 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6107 +[2025-03-25 06:42:14,662 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6808 +[2025-03-25 06:42:14,692 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3371 +[2025-03-25 06:42:14,736 INFO hook.py line 748 195048] Test: [13/78] Loss 2.4729 +[2025-03-25 06:42:14,772 INFO hook.py line 748 195048] Test: [14/78] Loss 2.4877 +[2025-03-25 06:42:14,804 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0602 +[2025-03-25 06:42:14,846 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1395 +[2025-03-25 06:42:14,882 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5487 +[2025-03-25 06:42:14,914 INFO hook.py line 748 195048] Test: [18/78] Loss 0.9098 +[2025-03-25 06:42:14,957 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1532 +[2025-03-25 06:42:14,986 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3798 +[2025-03-25 06:42:15,018 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2500 +[2025-03-25 06:42:15,054 INFO hook.py line 748 195048] Test: [22/78] Loss 1.3907 +[2025-03-25 06:42:15,090 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9140 +[2025-03-25 06:42:15,131 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9378 +[2025-03-25 06:42:15,168 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9203 +[2025-03-25 06:42:15,207 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6351 +[2025-03-25 06:42:15,252 INFO hook.py line 748 195048] Test: [27/78] Loss 1.6535 +[2025-03-25 06:42:15,282 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4867 +[2025-03-25 06:42:15,306 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3357 +[2025-03-25 06:42:15,355 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5937 +[2025-03-25 06:42:15,412 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5981 +[2025-03-25 06:42:15,442 INFO hook.py line 748 195048] Test: [32/78] Loss 0.7996 +[2025-03-25 06:42:15,492 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2834 +[2025-03-25 06:42:15,529 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0922 +[2025-03-25 06:42:15,563 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3493 +[2025-03-25 06:42:15,595 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3409 +[2025-03-25 06:42:15,628 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5929 +[2025-03-25 06:42:15,658 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2902 +[2025-03-25 06:42:15,712 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3830 +[2025-03-25 06:42:15,757 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9074 +[2025-03-25 06:42:15,796 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1262 +[2025-03-25 06:42:15,820 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2239 +[2025-03-25 06:42:15,853 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2138 +[2025-03-25 06:42:15,907 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5810 +[2025-03-25 06:42:15,937 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5449 +[2025-03-25 06:42:15,978 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8625 +[2025-03-25 06:42:16,015 INFO hook.py line 748 195048] Test: [47/78] Loss 2.8386 +[2025-03-25 06:42:16,046 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7528 +[2025-03-25 06:42:16,079 INFO hook.py line 748 195048] Test: [49/78] Loss 1.9569 +[2025-03-25 06:42:16,111 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1126 +[2025-03-25 06:42:16,139 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1830 +[2025-03-25 06:42:16,175 INFO hook.py line 748 195048] Test: [52/78] Loss 1.1453 +[2025-03-25 06:42:16,203 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3849 +[2025-03-25 06:42:16,238 INFO hook.py line 748 195048] Test: [54/78] Loss 2.3570 +[2025-03-25 06:42:16,273 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0753 +[2025-03-25 06:42:16,309 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2345 +[2025-03-25 06:42:16,338 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8364 +[2025-03-25 06:42:16,361 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5365 +[2025-03-25 06:42:16,395 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7992 +[2025-03-25 06:42:16,424 INFO hook.py line 748 195048] Test: [60/78] Loss 0.4867 +[2025-03-25 06:42:16,444 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7669 +[2025-03-25 06:42:16,472 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4565 +[2025-03-25 06:42:16,504 INFO hook.py line 748 195048] Test: [63/78] Loss 1.6368 +[2025-03-25 06:42:16,555 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3501 +[2025-03-25 06:42:16,578 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9972 +[2025-03-25 06:42:16,615 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6744 +[2025-03-25 06:42:16,649 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4429 +[2025-03-25 06:42:16,678 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1246 +[2025-03-25 06:42:16,704 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3451 +[2025-03-25 06:42:16,756 INFO hook.py line 748 195048] Test: [70/78] Loss 1.0346 +[2025-03-25 06:42:16,794 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8685 +[2025-03-25 06:42:16,839 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3878 +[2025-03-25 06:42:16,883 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4873 +[2025-03-25 06:42:16,920 INFO hook.py line 748 195048] Test: [74/78] Loss 2.1107 +[2025-03-25 06:42:16,966 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7425 +[2025-03-25 06:42:16,991 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9170 +[2025-03-25 06:42:17,040 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7026 +[2025-03-25 06:42:17,063 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5305 +[2025-03-25 06:42:18,074 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:42:18,074 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:42:18,074 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] wall : 0.8222 0.9396 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] floor : 0.9560 0.9828 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] cabinet : 0.5898 0.7239 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] bed : 0.7603 0.8381 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] chair : 0.8761 0.9307 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] sofa : 0.7998 0.8975 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] table : 0.6826 0.7972 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] door : 0.5859 0.7007 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] window : 0.5127 0.6107 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] bookshelf : 0.7665 0.8518 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] picture : 0.2590 0.3501 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] counter : 0.5616 0.6605 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] desk : 0.5683 0.7358 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] curtain : 0.6746 0.7430 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] refridgerator : 0.5100 0.5951 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] shower curtain : 0.6692 0.7514 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] toilet : 0.8854 0.9389 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] sink : 0.5972 0.7104 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] bathtub : 0.8386 0.9116 +[2025-03-25 06:42:18,075 INFO hook.py line 689 195048] otherfurniture : 0.5189 0.6530 +[2025-03-25 06:42:18,075 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:42:18,075 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6717/0.7661/0.8813. +[2025-03-25 06:42:18,076 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:42:18,090 INFO misc.py line 164 195048] Currently Best mIoU: 0.6718 +[2025-03-25 06:42:18,090 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:42:31,373 INFO hook.py line 566 195048] Train: [81/100][50/400] Data 0.003 (0.008) Batch 0.211 (0.206) Remain 00:27:16 loss: 0.0373 Lr: 3.13518e-04 +[2025-03-25 06:42:41,343 INFO hook.py line 566 195048] Train: [81/100][100/400] Data 0.002 (0.005) Batch 0.190 (0.203) Remain 00:26:39 loss: 0.2449 Lr: 3.09736e-04 +[2025-03-25 06:42:51,436 INFO hook.py line 566 195048] Train: [81/100][150/400] Data 0.003 (0.005) Batch 0.213 (0.202) Remain 00:26:27 loss: 0.2447 Lr: 3.05975e-04 +[2025-03-25 06:43:01,277 INFO hook.py line 566 195048] Train: [81/100][200/400] Data 0.002 (0.004) Batch 0.188 (0.201) Remain 00:26:07 loss: 0.0292 Lr: 3.02234e-04 +[2025-03-25 06:43:11,114 INFO hook.py line 566 195048] Train: [81/100][250/400] Data 0.003 (0.004) Batch 0.198 (0.200) Remain 00:25:50 loss: 0.0664 Lr: 2.98513e-04 +[2025-03-25 06:43:20,893 INFO hook.py line 566 195048] Train: [81/100][300/400] Data 0.003 (0.004) Batch 0.201 (0.199) Remain 00:25:34 loss: 0.1986 Lr: 2.94813e-04 +[2025-03-25 06:43:31,108 INFO hook.py line 566 195048] Train: [81/100][350/400] Data 0.003 (0.004) Batch 0.189 (0.200) Remain 00:25:30 loss: 0.3687 Lr: 2.91134e-04 +[2025-03-25 06:43:39,987 INFO hook.py line 566 195048] Train: [81/100][400/400] Data 0.001 (0.003) Batch 0.154 (0.197) Remain 00:24:58 loss: 0.2403 Lr: 2.87475e-04 +[2025-03-25 06:43:39,987 INFO misc.py line 135 195048] Train result: loss: 0.2057 +[2025-03-25 06:43:40,072 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:43:50,676 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1830 +[2025-03-25 06:43:50,724 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8165 +[2025-03-25 06:43:51,190 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3668 +[2025-03-25 06:43:51,255 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5731 +[2025-03-25 06:43:51,287 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3520 +[2025-03-25 06:43:51,340 INFO hook.py line 748 195048] Test: [6/78] Loss 1.5982 +[2025-03-25 06:43:51,386 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5540 +[2025-03-25 06:43:51,443 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3533 +[2025-03-25 06:43:51,483 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9290 +[2025-03-25 06:43:51,518 INFO hook.py line 748 195048] Test: [10/78] Loss 0.7317 +[2025-03-25 06:43:51,562 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6046 +[2025-03-25 06:43:51,662 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2941 +[2025-03-25 06:43:51,705 INFO hook.py line 748 195048] Test: [13/78] Loss 2.2921 +[2025-03-25 06:43:51,739 INFO hook.py line 748 195048] Test: [14/78] Loss 2.2843 +[2025-03-25 06:43:51,772 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7746 +[2025-03-25 06:43:51,813 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1044 +[2025-03-25 06:43:51,848 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6115 +[2025-03-25 06:43:51,876 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8970 +[2025-03-25 06:43:51,915 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0584 +[2025-03-25 06:43:51,950 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4466 +[2025-03-25 06:43:51,982 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2465 +[2025-03-25 06:43:52,019 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6735 +[2025-03-25 06:43:52,050 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7781 +[2025-03-25 06:43:52,089 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0067 +[2025-03-25 06:43:52,130 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9837 +[2025-03-25 06:43:52,167 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6179 +[2025-03-25 06:43:52,214 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2184 +[2025-03-25 06:43:52,244 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4719 +[2025-03-25 06:43:52,269 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2844 +[2025-03-25 06:43:52,319 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5555 +[2025-03-25 06:43:52,372 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5260 +[2025-03-25 06:43:52,403 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6649 +[2025-03-25 06:43:52,450 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3087 +[2025-03-25 06:43:52,487 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1839 +[2025-03-25 06:43:52,523 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4397 +[2025-03-25 06:43:52,556 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3045 +[2025-03-25 06:43:52,589 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5672 +[2025-03-25 06:43:52,615 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2668 +[2025-03-25 06:43:52,670 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4490 +[2025-03-25 06:43:52,711 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8091 +[2025-03-25 06:43:52,753 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2295 +[2025-03-25 06:43:52,778 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2680 +[2025-03-25 06:43:52,810 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2326 +[2025-03-25 06:43:52,862 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5368 +[2025-03-25 06:43:52,890 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6326 +[2025-03-25 06:43:52,933 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8195 +[2025-03-25 06:43:52,972 INFO hook.py line 748 195048] Test: [47/78] Loss 2.7266 +[2025-03-25 06:43:53,004 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6587 +[2025-03-25 06:43:53,033 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7996 +[2025-03-25 06:43:53,064 INFO hook.py line 748 195048] Test: [50/78] Loss 1.1600 +[2025-03-25 06:43:53,095 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1925 +[2025-03-25 06:43:53,128 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8514 +[2025-03-25 06:43:53,156 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4252 +[2025-03-25 06:43:53,192 INFO hook.py line 748 195048] Test: [54/78] Loss 2.7980 +[2025-03-25 06:43:53,226 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0597 +[2025-03-25 06:43:53,262 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3042 +[2025-03-25 06:43:53,290 INFO hook.py line 748 195048] Test: [57/78] Loss 0.9215 +[2025-03-25 06:43:53,313 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5227 +[2025-03-25 06:43:53,348 INFO hook.py line 748 195048] Test: [59/78] Loss 0.7987 +[2025-03-25 06:43:53,376 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6249 +[2025-03-25 06:43:53,396 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8997 +[2025-03-25 06:43:53,424 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4387 +[2025-03-25 06:43:53,456 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4046 +[2025-03-25 06:43:53,506 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5031 +[2025-03-25 06:43:53,530 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9324 +[2025-03-25 06:43:53,566 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9651 +[2025-03-25 06:43:53,600 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3485 +[2025-03-25 06:43:53,629 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1084 +[2025-03-25 06:43:53,655 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3848 +[2025-03-25 06:43:53,707 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3793 +[2025-03-25 06:43:53,744 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7383 +[2025-03-25 06:43:53,790 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4766 +[2025-03-25 06:43:53,833 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3393 +[2025-03-25 06:43:53,871 INFO hook.py line 748 195048] Test: [74/78] Loss 2.6450 +[2025-03-25 06:43:53,917 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7535 +[2025-03-25 06:43:53,941 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9118 +[2025-03-25 06:43:53,991 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8095 +[2025-03-25 06:43:54,015 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5657 +[2025-03-25 06:43:55,042 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:43:55,042 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:43:55,042 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:43:55,042 INFO hook.py line 689 195048] wall : 0.8222 0.9294 +[2025-03-25 06:43:55,042 INFO hook.py line 689 195048] floor : 0.9568 0.9852 +[2025-03-25 06:43:55,042 INFO hook.py line 689 195048] cabinet : 0.5906 0.7049 +[2025-03-25 06:43:55,042 INFO hook.py line 689 195048] bed : 0.7688 0.8361 +[2025-03-25 06:43:55,042 INFO hook.py line 689 195048] chair : 0.8815 0.9436 +[2025-03-25 06:43:55,042 INFO hook.py line 689 195048] sofa : 0.8054 0.8890 +[2025-03-25 06:43:55,043 INFO hook.py line 689 195048] table : 0.6795 0.7983 +[2025-03-25 06:43:55,043 INFO hook.py line 689 195048] door : 0.5994 0.7468 +[2025-03-25 06:43:55,043 INFO hook.py line 689 195048] window : 0.5234 0.6360 +[2025-03-25 06:43:55,043 INFO hook.py line 689 195048] bookshelf : 0.7501 0.8646 +[2025-03-25 06:43:55,043 INFO hook.py line 689 195048] picture : 0.2560 0.4151 +[2025-03-25 06:43:55,043 INFO hook.py line 689 195048] counter : 0.5591 0.6733 +[2025-03-25 06:43:55,043 INFO hook.py line 689 195048] desk : 0.5562 0.7385 +[2025-03-25 06:43:55,044 INFO hook.py line 689 195048] curtain : 0.6638 0.8087 +[2025-03-25 06:43:55,044 INFO hook.py line 689 195048] refridgerator : 0.4939 0.5828 +[2025-03-25 06:43:55,044 INFO hook.py line 689 195048] shower curtain : 0.6343 0.7151 +[2025-03-25 06:43:55,044 INFO hook.py line 689 195048] toilet : 0.8877 0.9352 +[2025-03-25 06:43:55,044 INFO hook.py line 689 195048] sink : 0.5800 0.7095 +[2025-03-25 06:43:55,044 INFO hook.py line 689 195048] bathtub : 0.8415 0.9060 +[2025-03-25 06:43:55,044 INFO hook.py line 689 195048] otherfurniture : 0.5115 0.5972 +[2025-03-25 06:43:55,044 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:43:55,044 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6681/0.7708/0.8811. +[2025-03-25 06:43:55,044 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:43:55,062 INFO misc.py line 164 195048] Currently Best mIoU: 0.6718 +[2025-03-25 06:43:55,062 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:44:08,182 INFO hook.py line 566 195048] Train: [82/100][50/400] Data 0.002 (0.003) Batch 0.203 (0.198) Remain 00:24:55 loss: 0.1073 Lr: 2.83837e-04 +[2025-03-25 06:44:18,112 INFO hook.py line 566 195048] Train: [82/100][100/400] Data 0.003 (0.003) Batch 0.222 (0.198) Remain 00:24:47 loss: 0.1992 Lr: 2.80220e-04 +[2025-03-25 06:44:27,989 INFO hook.py line 566 195048] Train: [82/100][150/400] Data 0.003 (0.003) Batch 0.215 (0.198) Remain 00:24:35 loss: 0.2765 Lr: 2.76695e-04 +[2025-03-25 06:44:37,841 INFO hook.py line 566 195048] Train: [82/100][200/400] Data 0.003 (0.003) Batch 0.214 (0.198) Remain 00:24:23 loss: 0.1168 Lr: 2.73119e-04 +[2025-03-25 06:44:47,727 INFO hook.py line 566 195048] Train: [82/100][250/400] Data 0.004 (0.003) Batch 0.214 (0.198) Remain 00:24:13 loss: 0.3462 Lr: 2.69565e-04 +[2025-03-25 06:44:57,811 INFO hook.py line 566 195048] Train: [82/100][300/400] Data 0.003 (0.003) Batch 0.203 (0.198) Remain 00:24:08 loss: 0.1325 Lr: 2.66031e-04 +[2025-03-25 06:45:07,713 INFO hook.py line 566 195048] Train: [82/100][350/400] Data 0.003 (0.003) Batch 0.193 (0.198) Remain 00:23:58 loss: 0.1773 Lr: 2.62518e-04 +[2025-03-25 06:45:16,850 INFO hook.py line 566 195048] Train: [82/100][400/400] Data 0.001 (0.003) Batch 0.159 (0.196) Remain 00:23:34 loss: 0.2154 Lr: 2.59026e-04 +[2025-03-25 06:45:16,851 INFO misc.py line 135 195048] Train result: loss: 0.2093 +[2025-03-25 06:45:16,939 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:45:27,383 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1437 +[2025-03-25 06:45:27,855 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6398 +[2025-03-25 06:45:27,885 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3568 +[2025-03-25 06:45:28,050 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5700 +[2025-03-25 06:45:28,153 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3954 +[2025-03-25 06:45:28,206 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8104 +[2025-03-25 06:45:28,255 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5007 +[2025-03-25 06:45:28,280 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3313 +[2025-03-25 06:45:28,349 INFO hook.py line 748 195048] Test: [9/78] Loss 0.9314 +[2025-03-25 06:45:28,379 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6591 +[2025-03-25 06:45:28,420 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6702 +[2025-03-25 06:45:28,449 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3484 +[2025-03-25 06:45:28,494 INFO hook.py line 748 195048] Test: [13/78] Loss 2.3912 +[2025-03-25 06:45:28,541 INFO hook.py line 748 195048] Test: [14/78] Loss 2.3843 +[2025-03-25 06:45:28,573 INFO hook.py line 748 195048] Test: [15/78] Loss 2.0255 +[2025-03-25 06:45:28,618 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1104 +[2025-03-25 06:45:28,659 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5934 +[2025-03-25 06:45:28,687 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8210 +[2025-03-25 06:45:28,729 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2634 +[2025-03-25 06:45:28,758 INFO hook.py line 748 195048] Test: [20/78] Loss 1.2742 +[2025-03-25 06:45:28,790 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2467 +[2025-03-25 06:45:28,826 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6402 +[2025-03-25 06:45:28,851 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9242 +[2025-03-25 06:45:28,893 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0568 +[2025-03-25 06:45:28,931 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1538 +[2025-03-25 06:45:28,977 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5825 +[2025-03-25 06:45:29,025 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2749 +[2025-03-25 06:45:29,062 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4329 +[2025-03-25 06:45:29,097 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2973 +[2025-03-25 06:45:29,145 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5515 +[2025-03-25 06:45:29,199 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5020 +[2025-03-25 06:45:29,229 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6457 +[2025-03-25 06:45:29,277 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3123 +[2025-03-25 06:45:29,311 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0502 +[2025-03-25 06:45:29,347 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3856 +[2025-03-25 06:45:29,378 INFO hook.py line 748 195048] Test: [36/78] Loss 1.1689 +[2025-03-25 06:45:29,410 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5648 +[2025-03-25 06:45:29,444 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2867 +[2025-03-25 06:45:29,499 INFO hook.py line 748 195048] Test: [39/78] Loss 1.2474 +[2025-03-25 06:45:29,540 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0026 +[2025-03-25 06:45:29,580 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2746 +[2025-03-25 06:45:29,605 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2564 +[2025-03-25 06:45:29,639 INFO hook.py line 748 195048] Test: [43/78] Loss 0.1808 +[2025-03-25 06:45:29,689 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5933 +[2025-03-25 06:45:29,725 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5133 +[2025-03-25 06:45:29,768 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8461 +[2025-03-25 06:45:29,813 INFO hook.py line 748 195048] Test: [47/78] Loss 2.9105 +[2025-03-25 06:45:29,843 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6375 +[2025-03-25 06:45:29,877 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7464 +[2025-03-25 06:45:29,913 INFO hook.py line 748 195048] Test: [50/78] Loss 1.0989 +[2025-03-25 06:45:29,945 INFO hook.py line 748 195048] Test: [51/78] Loss 1.4867 +[2025-03-25 06:45:29,980 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9593 +[2025-03-25 06:45:30,010 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4262 +[2025-03-25 06:45:30,048 INFO hook.py line 748 195048] Test: [54/78] Loss 2.7910 +[2025-03-25 06:45:30,084 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0661 +[2025-03-25 06:45:30,119 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2664 +[2025-03-25 06:45:30,149 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8507 +[2025-03-25 06:45:30,172 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5369 +[2025-03-25 06:45:30,207 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8389 +[2025-03-25 06:45:30,235 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5442 +[2025-03-25 06:45:30,255 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6853 +[2025-03-25 06:45:30,284 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5202 +[2025-03-25 06:45:30,316 INFO hook.py line 748 195048] Test: [63/78] Loss 1.5003 +[2025-03-25 06:45:30,366 INFO hook.py line 748 195048] Test: [64/78] Loss 1.2903 +[2025-03-25 06:45:30,389 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8393 +[2025-03-25 06:45:30,426 INFO hook.py line 748 195048] Test: [66/78] Loss 0.9096 +[2025-03-25 06:45:30,460 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3722 +[2025-03-25 06:45:30,489 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1098 +[2025-03-25 06:45:30,515 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3643 +[2025-03-25 06:45:30,567 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5386 +[2025-03-25 06:45:30,605 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7216 +[2025-03-25 06:45:30,651 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4248 +[2025-03-25 06:45:30,694 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4507 +[2025-03-25 06:45:30,732 INFO hook.py line 748 195048] Test: [74/78] Loss 2.4259 +[2025-03-25 06:45:30,778 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8031 +[2025-03-25 06:45:30,803 INFO hook.py line 748 195048] Test: [76/78] Loss 0.6254 +[2025-03-25 06:45:30,852 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8313 +[2025-03-25 06:45:30,875 INFO hook.py line 748 195048] Test: [78/78] Loss 0.4639 +[2025-03-25 06:45:31,912 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:45:31,912 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:45:31,913 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] wall : 0.8277 0.9318 +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] floor : 0.9558 0.9832 +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] cabinet : 0.5932 0.7459 +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] bed : 0.7572 0.8375 +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] chair : 0.8812 0.9430 +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] sofa : 0.8086 0.9104 +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] table : 0.6833 0.7742 +[2025-03-25 06:45:31,913 INFO hook.py line 689 195048] door : 0.6018 0.7431 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] window : 0.5478 0.6975 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] bookshelf : 0.7492 0.8611 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] picture : 0.2673 0.3758 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] counter : 0.5028 0.6037 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] desk : 0.5702 0.7549 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] curtain : 0.6768 0.7520 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] refridgerator : 0.4918 0.5863 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] shower curtain : 0.6142 0.7024 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] toilet : 0.9135 0.9411 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] sink : 0.5833 0.6699 +[2025-03-25 06:45:31,914 INFO hook.py line 689 195048] bathtub : 0.8388 0.9117 +[2025-03-25 06:45:31,915 INFO hook.py line 689 195048] otherfurniture : 0.5337 0.6153 +[2025-03-25 06:45:31,915 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:45:31,915 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6699/0.7670/0.8835. +[2025-03-25 06:45:31,916 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:45:31,929 INFO misc.py line 164 195048] Currently Best mIoU: 0.6718 +[2025-03-25 06:45:31,929 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:45:45,017 INFO hook.py line 566 195048] Train: [83/100][50/400] Data 0.004 (0.008) Batch 0.216 (0.207) Remain 00:24:37 loss: 0.2546 Lr: 2.55556e-04 +[2025-03-25 06:45:54,870 INFO hook.py line 566 195048] Train: [83/100][100/400] Data 0.003 (0.005) Batch 0.203 (0.202) Remain 00:23:52 loss: 0.1830 Lr: 2.52107e-04 +[2025-03-25 06:46:04,845 INFO hook.py line 566 195048] Train: [83/100][150/400] Data 0.003 (0.005) Batch 0.192 (0.201) Remain 00:23:36 loss: 0.0928 Lr: 2.48679e-04 +[2025-03-25 06:46:15,030 INFO hook.py line 566 195048] Train: [83/100][200/400] Data 0.002 (0.004) Batch 0.190 (0.202) Remain 00:23:31 loss: 0.1816 Lr: 2.45272e-04 +[2025-03-25 06:46:24,874 INFO hook.py line 566 195048] Train: [83/100][250/400] Data 0.003 (0.004) Batch 0.199 (0.201) Remain 00:23:14 loss: 0.1883 Lr: 2.41887e-04 +[2025-03-25 06:46:34,869 INFO hook.py line 566 195048] Train: [83/100][300/400] Data 0.004 (0.004) Batch 0.208 (0.201) Remain 00:23:03 loss: 0.1097 Lr: 2.38524e-04 +[2025-03-25 06:46:44,745 INFO hook.py line 566 195048] Train: [83/100][350/400] Data 0.004 (0.004) Batch 0.181 (0.200) Remain 00:22:50 loss: 0.1255 Lr: 2.35182e-04 +[2025-03-25 06:46:53,703 INFO hook.py line 566 195048] Train: [83/100][400/400] Data 0.001 (0.003) Batch 0.153 (0.197) Remain 00:22:22 loss: 0.3186 Lr: 2.31862e-04 +[2025-03-25 06:46:53,704 INFO misc.py line 135 195048] Train result: loss: 0.1974 +[2025-03-25 06:46:53,787 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:47:04,061 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1611 +[2025-03-25 06:47:04,688 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8030 +[2025-03-25 06:47:04,719 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4434 +[2025-03-25 06:47:05,035 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6127 +[2025-03-25 06:47:05,086 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3207 +[2025-03-25 06:47:05,136 INFO hook.py line 748 195048] Test: [6/78] Loss 1.9180 +[2025-03-25 06:47:05,184 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6654 +[2025-03-25 06:47:05,208 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3176 +[2025-03-25 06:47:05,248 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0115 +[2025-03-25 06:47:05,277 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6595 +[2025-03-25 06:47:05,319 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7258 +[2025-03-25 06:47:05,349 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3702 +[2025-03-25 06:47:05,394 INFO hook.py line 748 195048] Test: [13/78] Loss 2.3487 +[2025-03-25 06:47:05,428 INFO hook.py line 748 195048] Test: [14/78] Loss 2.2450 +[2025-03-25 06:47:05,461 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9152 +[2025-03-25 06:47:05,502 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1259 +[2025-03-25 06:47:05,538 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5713 +[2025-03-25 06:47:05,566 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7643 +[2025-03-25 06:47:05,615 INFO hook.py line 748 195048] Test: [19/78] Loss 1.2719 +[2025-03-25 06:47:05,646 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3271 +[2025-03-25 06:47:05,678 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2898 +[2025-03-25 06:47:05,717 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6694 +[2025-03-25 06:47:05,745 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9347 +[2025-03-25 06:47:05,785 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0621 +[2025-03-25 06:47:05,825 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9320 +[2025-03-25 06:47:05,863 INFO hook.py line 748 195048] Test: [26/78] Loss 0.6103 +[2025-03-25 06:47:05,909 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4299 +[2025-03-25 06:47:05,939 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4301 +[2025-03-25 06:47:05,965 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3450 +[2025-03-25 06:47:06,016 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5403 +[2025-03-25 06:47:06,078 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5563 +[2025-03-25 06:47:06,108 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6666 +[2025-03-25 06:47:06,157 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3185 +[2025-03-25 06:47:06,195 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1745 +[2025-03-25 06:47:06,232 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3651 +[2025-03-25 06:47:06,265 INFO hook.py line 748 195048] Test: [36/78] Loss 1.5174 +[2025-03-25 06:47:06,298 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5992 +[2025-03-25 06:47:06,326 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3001 +[2025-03-25 06:47:06,381 INFO hook.py line 748 195048] Test: [39/78] Loss 1.6106 +[2025-03-25 06:47:06,423 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8613 +[2025-03-25 06:47:06,467 INFO hook.py line 748 195048] Test: [41/78] Loss 1.1418 +[2025-03-25 06:47:06,491 INFO hook.py line 748 195048] Test: [42/78] Loss 0.3294 +[2025-03-25 06:47:06,522 INFO hook.py line 748 195048] Test: [43/78] Loss 0.1868 +[2025-03-25 06:47:06,575 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5409 +[2025-03-25 06:47:06,606 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6216 +[2025-03-25 06:47:06,648 INFO hook.py line 748 195048] Test: [46/78] Loss 0.7949 +[2025-03-25 06:47:06,685 INFO hook.py line 748 195048] Test: [47/78] Loss 2.7534 +[2025-03-25 06:47:06,716 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7508 +[2025-03-25 06:47:06,749 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7758 +[2025-03-25 06:47:06,784 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2646 +[2025-03-25 06:47:06,818 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0484 +[2025-03-25 06:47:06,850 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9388 +[2025-03-25 06:47:06,885 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3420 +[2025-03-25 06:47:06,920 INFO hook.py line 748 195048] Test: [54/78] Loss 2.4702 +[2025-03-25 06:47:06,956 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0563 +[2025-03-25 06:47:06,992 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3268 +[2025-03-25 06:47:07,020 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8690 +[2025-03-25 06:47:07,043 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6312 +[2025-03-25 06:47:07,078 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8901 +[2025-03-25 06:47:07,106 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5826 +[2025-03-25 06:47:07,127 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7464 +[2025-03-25 06:47:07,155 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5407 +[2025-03-25 06:47:07,188 INFO hook.py line 748 195048] Test: [63/78] Loss 1.6069 +[2025-03-25 06:47:07,238 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4112 +[2025-03-25 06:47:07,262 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0127 +[2025-03-25 06:47:07,298 INFO hook.py line 748 195048] Test: [66/78] Loss 1.0707 +[2025-03-25 06:47:07,333 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3527 +[2025-03-25 06:47:07,362 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2135 +[2025-03-25 06:47:07,388 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3635 +[2025-03-25 06:47:07,440 INFO hook.py line 748 195048] Test: [70/78] Loss 1.2735 +[2025-03-25 06:47:07,478 INFO hook.py line 748 195048] Test: [71/78] Loss 0.6526 +[2025-03-25 06:47:07,523 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4152 +[2025-03-25 06:47:07,567 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3913 +[2025-03-25 06:47:07,604 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2307 +[2025-03-25 06:47:07,650 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7527 +[2025-03-25 06:47:07,675 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7494 +[2025-03-25 06:47:07,724 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6076 +[2025-03-25 06:47:07,747 INFO hook.py line 748 195048] Test: [78/78] Loss 0.4875 +[2025-03-25 06:47:08,634 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:47:08,635 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:47:08,635 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] wall : 0.8245 0.9303 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] floor : 0.9580 0.9813 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] cabinet : 0.5951 0.7349 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] bed : 0.7634 0.8406 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] chair : 0.8828 0.9392 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] sofa : 0.8108 0.8979 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] table : 0.6831 0.8329 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] door : 0.5935 0.7230 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] window : 0.5192 0.6517 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] bookshelf : 0.7508 0.8972 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] picture : 0.2835 0.3932 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] counter : 0.5124 0.6255 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] desk : 0.5351 0.6446 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] curtain : 0.6775 0.7789 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] refridgerator : 0.4748 0.5212 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] shower curtain : 0.6245 0.6962 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] toilet : 0.8987 0.9475 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] sink : 0.5847 0.6698 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] bathtub : 0.8417 0.9035 +[2025-03-25 06:47:08,635 INFO hook.py line 689 195048] otherfurniture : 0.5345 0.6444 +[2025-03-25 06:47:08,635 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:47:08,635 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6674/0.7627/0.8822. +[2025-03-25 06:47:08,636 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:47:08,648 INFO misc.py line 164 195048] Currently Best mIoU: 0.6718 +[2025-03-25 06:47:08,648 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:47:22,241 INFO hook.py line 566 195048] Train: [84/100][50/400] Data 0.003 (0.003) Batch 0.207 (0.195) Remain 00:21:57 loss: 0.2103 Lr: 2.28563e-04 +[2025-03-25 06:47:32,198 INFO hook.py line 566 195048] Train: [84/100][100/400] Data 0.003 (0.003) Batch 0.197 (0.197) Remain 00:22:01 loss: 0.2016 Lr: 2.25286e-04 +[2025-03-25 06:47:41,949 INFO hook.py line 566 195048] Train: [84/100][150/400] Data 0.002 (0.003) Batch 0.177 (0.196) Remain 00:21:46 loss: 0.3134 Lr: 2.22031e-04 +[2025-03-25 06:47:51,728 INFO hook.py line 566 195048] Train: [84/100][200/400] Data 0.002 (0.003) Batch 0.201 (0.196) Remain 00:21:35 loss: 0.1001 Lr: 2.18798e-04 +[2025-03-25 06:48:01,576 INFO hook.py line 566 195048] Train: [84/100][250/400] Data 0.003 (0.003) Batch 0.194 (0.196) Remain 00:21:26 loss: 0.1301 Lr: 2.15586e-04 +[2025-03-25 06:48:11,663 INFO hook.py line 566 195048] Train: [84/100][300/400] Data 0.004 (0.003) Batch 0.210 (0.197) Remain 00:21:22 loss: 0.0467 Lr: 2.12397e-04 +[2025-03-25 06:48:21,621 INFO hook.py line 566 195048] Train: [84/100][350/400] Data 0.003 (0.003) Batch 0.211 (0.198) Remain 00:21:14 loss: 0.2237 Lr: 2.09229e-04 +[2025-03-25 06:48:30,957 INFO hook.py line 566 195048] Train: [84/100][400/400] Data 0.001 (0.003) Batch 0.153 (0.196) Remain 00:20:55 loss: 0.0562 Lr: 2.06084e-04 +[2025-03-25 06:48:30,957 INFO misc.py line 135 195048] Train result: loss: 0.2092 +[2025-03-25 06:48:31,039 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:48:40,843 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1648 +[2025-03-25 06:48:41,764 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6944 +[2025-03-25 06:48:41,800 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4679 +[2025-03-25 06:48:41,843 INFO hook.py line 748 195048] Test: [4/78] Loss 0.5978 +[2025-03-25 06:48:42,318 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3636 +[2025-03-25 06:48:42,366 INFO hook.py line 748 195048] Test: [6/78] Loss 1.6532 +[2025-03-25 06:48:42,412 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5866 +[2025-03-25 06:48:42,446 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3336 +[2025-03-25 06:48:42,486 INFO hook.py line 748 195048] Test: [9/78] Loss 1.1025 +[2025-03-25 06:48:42,519 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5848 +[2025-03-25 06:48:42,646 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7308 +[2025-03-25 06:48:42,676 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2621 +[2025-03-25 06:48:42,719 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5128 +[2025-03-25 06:48:42,753 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5492 +[2025-03-25 06:48:42,786 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9185 +[2025-03-25 06:48:42,827 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1115 +[2025-03-25 06:48:42,862 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6333 +[2025-03-25 06:48:42,899 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7537 +[2025-03-25 06:48:42,940 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1140 +[2025-03-25 06:48:42,968 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3698 +[2025-03-25 06:48:43,000 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2502 +[2025-03-25 06:48:43,037 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6266 +[2025-03-25 06:48:43,076 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9268 +[2025-03-25 06:48:43,118 INFO hook.py line 748 195048] Test: [24/78] Loss 0.9919 +[2025-03-25 06:48:43,154 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1133 +[2025-03-25 06:48:43,192 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5609 +[2025-03-25 06:48:43,238 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3263 +[2025-03-25 06:48:43,267 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5384 +[2025-03-25 06:48:43,295 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2848 +[2025-03-25 06:48:43,347 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5132 +[2025-03-25 06:48:43,401 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5480 +[2025-03-25 06:48:43,433 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6893 +[2025-03-25 06:48:43,480 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2762 +[2025-03-25 06:48:43,516 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0758 +[2025-03-25 06:48:43,554 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4352 +[2025-03-25 06:48:43,588 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4064 +[2025-03-25 06:48:43,620 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5496 +[2025-03-25 06:48:43,650 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2920 +[2025-03-25 06:48:43,705 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4487 +[2025-03-25 06:48:43,746 INFO hook.py line 748 195048] Test: [40/78] Loss 1.8585 +[2025-03-25 06:48:43,792 INFO hook.py line 748 195048] Test: [41/78] Loss 1.3609 +[2025-03-25 06:48:43,816 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2391 +[2025-03-25 06:48:43,848 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2453 +[2025-03-25 06:48:43,902 INFO hook.py line 748 195048] Test: [44/78] Loss 0.4722 +[2025-03-25 06:48:43,931 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6197 +[2025-03-25 06:48:43,972 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8185 +[2025-03-25 06:48:44,009 INFO hook.py line 748 195048] Test: [47/78] Loss 2.9687 +[2025-03-25 06:48:44,041 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6453 +[2025-03-25 06:48:44,075 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6031 +[2025-03-25 06:48:44,106 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2117 +[2025-03-25 06:48:44,133 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0035 +[2025-03-25 06:48:44,167 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8554 +[2025-03-25 06:48:44,204 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4328 +[2025-03-25 06:48:44,239 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6554 +[2025-03-25 06:48:44,275 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0554 +[2025-03-25 06:48:44,311 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3232 +[2025-03-25 06:48:44,341 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8489 +[2025-03-25 06:48:44,363 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5018 +[2025-03-25 06:48:44,398 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8051 +[2025-03-25 06:48:44,426 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6042 +[2025-03-25 06:48:44,446 INFO hook.py line 748 195048] Test: [61/78] Loss 0.9218 +[2025-03-25 06:48:44,475 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4492 +[2025-03-25 06:48:44,510 INFO hook.py line 748 195048] Test: [63/78] Loss 1.5518 +[2025-03-25 06:48:44,561 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3125 +[2025-03-25 06:48:44,584 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9901 +[2025-03-25 06:48:44,621 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8827 +[2025-03-25 06:48:44,656 INFO hook.py line 748 195048] Test: [67/78] Loss 0.3331 +[2025-03-25 06:48:44,684 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1708 +[2025-03-25 06:48:44,710 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3577 +[2025-03-25 06:48:44,763 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4409 +[2025-03-25 06:48:44,800 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8351 +[2025-03-25 06:48:44,846 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3748 +[2025-03-25 06:48:44,889 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4816 +[2025-03-25 06:48:44,927 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2760 +[2025-03-25 06:48:44,973 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8060 +[2025-03-25 06:48:44,997 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8753 +[2025-03-25 06:48:45,047 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5137 +[2025-03-25 06:48:45,070 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5808 +[2025-03-25 06:48:46,077 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:48:46,077 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:48:46,077 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] wall : 0.8271 0.9353 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] floor : 0.9571 0.9844 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] cabinet : 0.5891 0.7107 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] bed : 0.7540 0.8341 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] chair : 0.8867 0.9396 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] sofa : 0.8155 0.9019 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] table : 0.6928 0.8161 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] door : 0.6030 0.7318 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] window : 0.5250 0.6396 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] bookshelf : 0.7496 0.8931 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] picture : 0.2750 0.3741 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] counter : 0.5429 0.6758 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] desk : 0.5835 0.7395 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] curtain : 0.6969 0.8076 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] refridgerator : 0.4605 0.5085 +[2025-03-25 06:48:46,078 INFO hook.py line 689 195048] shower curtain : 0.6530 0.7420 +[2025-03-25 06:48:46,079 INFO hook.py line 689 195048] toilet : 0.8824 0.9438 +[2025-03-25 06:48:46,079 INFO hook.py line 689 195048] sink : 0.5991 0.7227 +[2025-03-25 06:48:46,079 INFO hook.py line 689 195048] bathtub : 0.8532 0.9139 +[2025-03-25 06:48:46,079 INFO hook.py line 689 195048] otherfurniture : 0.5146 0.6118 +[2025-03-25 06:48:46,079 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:48:46,079 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6730/0.7713/0.8840. +[2025-03-25 06:48:46,080 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:48:46,083 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6730 +[2025-03-25 06:48:46,084 INFO misc.py line 164 195048] Currently Best mIoU: 0.6730 +[2025-03-25 06:48:46,084 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:48:59,700 INFO hook.py line 566 195048] Train: [85/100][50/400] Data 0.003 (0.003) Batch 0.203 (0.198) Remain 00:20:57 loss: 0.2514 Lr: 2.02960e-04 +[2025-03-25 06:49:09,537 INFO hook.py line 566 195048] Train: [85/100][100/400] Data 0.004 (0.003) Batch 0.197 (0.197) Remain 00:20:43 loss: 0.0797 Lr: 1.99859e-04 +[2025-03-25 06:49:19,547 INFO hook.py line 566 195048] Train: [85/100][150/400] Data 0.004 (0.003) Batch 0.201 (0.198) Remain 00:20:39 loss: 0.4114 Lr: 1.96780e-04 +[2025-03-25 06:49:29,376 INFO hook.py line 566 195048] Train: [85/100][200/400] Data 0.003 (0.003) Batch 0.192 (0.198) Remain 00:20:26 loss: 0.0240 Lr: 1.93724e-04 +[2025-03-25 06:49:39,479 INFO hook.py line 566 195048] Train: [85/100][250/400] Data 0.002 (0.003) Batch 0.205 (0.199) Remain 00:20:22 loss: 0.1895 Lr: 1.90690e-04 +[2025-03-25 06:49:49,354 INFO hook.py line 566 195048] Train: [85/100][300/400] Data 0.003 (0.003) Batch 0.220 (0.199) Remain 00:20:11 loss: 0.2387 Lr: 1.87678e-04 +[2025-03-25 06:49:59,273 INFO hook.py line 566 195048] Train: [85/100][350/400] Data 0.002 (0.003) Batch 0.208 (0.199) Remain 00:20:00 loss: 0.0875 Lr: 1.84688e-04 +[2025-03-25 06:50:08,194 INFO hook.py line 566 195048] Train: [85/100][400/400] Data 0.002 (0.003) Batch 0.155 (0.196) Remain 00:19:35 loss: 0.3554 Lr: 1.81721e-04 +[2025-03-25 06:50:08,195 INFO misc.py line 135 195048] Train result: loss: 0.1747 +[2025-03-25 06:50:08,289 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:50:19,322 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1860 +[2025-03-25 06:50:19,361 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8186 +[2025-03-25 06:50:19,400 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5263 +[2025-03-25 06:50:19,445 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6902 +[2025-03-25 06:50:19,477 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3837 +[2025-03-25 06:50:19,527 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8792 +[2025-03-25 06:50:19,574 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5438 +[2025-03-25 06:50:19,664 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3663 +[2025-03-25 06:50:19,708 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0060 +[2025-03-25 06:50:19,738 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6040 +[2025-03-25 06:50:19,781 INFO hook.py line 748 195048] Test: [11/78] Loss 0.8066 +[2025-03-25 06:50:19,809 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3197 +[2025-03-25 06:50:19,853 INFO hook.py line 748 195048] Test: [13/78] Loss 2.7727 +[2025-03-25 06:50:19,887 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6684 +[2025-03-25 06:50:19,920 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7967 +[2025-03-25 06:50:19,961 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1333 +[2025-03-25 06:50:19,997 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6450 +[2025-03-25 06:50:20,025 INFO hook.py line 748 195048] Test: [18/78] Loss 0.6922 +[2025-03-25 06:50:20,069 INFO hook.py line 748 195048] Test: [19/78] Loss 1.1495 +[2025-03-25 06:50:20,097 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3798 +[2025-03-25 06:50:20,130 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2390 +[2025-03-25 06:50:20,167 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7942 +[2025-03-25 06:50:20,191 INFO hook.py line 748 195048] Test: [23/78] Loss 0.9384 +[2025-03-25 06:50:20,230 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0631 +[2025-03-25 06:50:20,269 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0253 +[2025-03-25 06:50:20,305 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5728 +[2025-03-25 06:50:20,352 INFO hook.py line 748 195048] Test: [27/78] Loss 1.5191 +[2025-03-25 06:50:20,381 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5016 +[2025-03-25 06:50:20,406 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2997 +[2025-03-25 06:50:20,457 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6500 +[2025-03-25 06:50:20,511 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5622 +[2025-03-25 06:50:20,554 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5654 +[2025-03-25 06:50:20,601 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3311 +[2025-03-25 06:50:20,639 INFO hook.py line 748 195048] Test: [34/78] Loss 1.0572 +[2025-03-25 06:50:20,671 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4605 +[2025-03-25 06:50:20,703 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4141 +[2025-03-25 06:50:20,735 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6390 +[2025-03-25 06:50:20,765 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3133 +[2025-03-25 06:50:20,820 INFO hook.py line 748 195048] Test: [39/78] Loss 1.3403 +[2025-03-25 06:50:20,865 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9561 +[2025-03-25 06:50:20,903 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2536 +[2025-03-25 06:50:20,926 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2620 +[2025-03-25 06:50:20,958 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2874 +[2025-03-25 06:50:21,011 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5727 +[2025-03-25 06:50:21,041 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6204 +[2025-03-25 06:50:21,082 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9438 +[2025-03-25 06:50:21,119 INFO hook.py line 748 195048] Test: [47/78] Loss 3.1781 +[2025-03-25 06:50:21,150 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7975 +[2025-03-25 06:50:21,185 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7457 +[2025-03-25 06:50:21,219 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2069 +[2025-03-25 06:50:21,248 INFO hook.py line 748 195048] Test: [51/78] Loss 1.4300 +[2025-03-25 06:50:21,284 INFO hook.py line 748 195048] Test: [52/78] Loss 1.0195 +[2025-03-25 06:50:21,314 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4705 +[2025-03-25 06:50:21,353 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6913 +[2025-03-25 06:50:21,387 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0555 +[2025-03-25 06:50:21,422 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3068 +[2025-03-25 06:50:21,451 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7735 +[2025-03-25 06:50:21,474 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5334 +[2025-03-25 06:50:21,509 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8857 +[2025-03-25 06:50:21,537 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5945 +[2025-03-25 06:50:21,557 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7873 +[2025-03-25 06:50:21,586 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4656 +[2025-03-25 06:50:21,618 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4898 +[2025-03-25 06:50:21,669 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4966 +[2025-03-25 06:50:21,693 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8172 +[2025-03-25 06:50:21,730 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8049 +[2025-03-25 06:50:21,764 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4422 +[2025-03-25 06:50:21,792 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1307 +[2025-03-25 06:50:21,818 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3392 +[2025-03-25 06:50:21,871 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5306 +[2025-03-25 06:50:21,909 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8129 +[2025-03-25 06:50:21,955 INFO hook.py line 748 195048] Test: [72/78] Loss 0.4333 +[2025-03-25 06:50:21,999 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3967 +[2025-03-25 06:50:22,036 INFO hook.py line 748 195048] Test: [74/78] Loss 2.4800 +[2025-03-25 06:50:22,082 INFO hook.py line 748 195048] Test: [75/78] Loss 0.8424 +[2025-03-25 06:50:22,107 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9877 +[2025-03-25 06:50:22,157 INFO hook.py line 748 195048] Test: [77/78] Loss 0.5035 +[2025-03-25 06:50:22,181 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6274 +[2025-03-25 06:50:23,180 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:50:23,180 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:50:23,180 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:50:23,180 INFO hook.py line 689 195048] wall : 0.8224 0.9369 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] floor : 0.9564 0.9830 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] cabinet : 0.5958 0.7260 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] bed : 0.7717 0.8384 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] chair : 0.8835 0.9387 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] sofa : 0.8181 0.8990 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] table : 0.6875 0.7863 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] door : 0.5990 0.7522 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] window : 0.5080 0.6266 +[2025-03-25 06:50:23,181 INFO hook.py line 689 195048] bookshelf : 0.7451 0.8978 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] picture : 0.2543 0.3266 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] counter : 0.5580 0.6629 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] desk : 0.5729 0.7335 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] curtain : 0.6664 0.7541 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] refridgerator : 0.4120 0.4333 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] shower curtain : 0.6731 0.7524 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] toilet : 0.8876 0.9455 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] sink : 0.5810 0.6846 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] bathtub : 0.8480 0.9145 +[2025-03-25 06:50:23,182 INFO hook.py line 689 195048] otherfurniture : 0.5229 0.6157 +[2025-03-25 06:50:23,183 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:50:23,183 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6682/0.7604/0.8823. +[2025-03-25 06:50:23,184 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:50:23,194 INFO misc.py line 164 195048] Currently Best mIoU: 0.6730 +[2025-03-25 06:50:23,195 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:50:36,706 INFO hook.py line 566 195048] Train: [86/100][50/400] Data 0.003 (0.003) Batch 0.205 (0.199) Remain 00:19:45 loss: 0.2786 Lr: 1.78777e-04 +[2025-03-25 06:50:46,417 INFO hook.py line 566 195048] Train: [86/100][100/400] Data 0.003 (0.003) Batch 0.185 (0.197) Remain 00:19:20 loss: 0.1887 Lr: 1.75855e-04 +[2025-03-25 06:50:56,822 INFO hook.py line 566 195048] Train: [86/100][150/400] Data 0.003 (0.003) Batch 0.368 (0.201) Remain 00:19:33 loss: 0.4081 Lr: 1.72955e-04 +[2025-03-25 06:51:06,881 INFO hook.py line 566 195048] Train: [86/100][200/400] Data 0.002 (0.003) Batch 0.182 (0.201) Remain 00:19:24 loss: 0.1928 Lr: 1.70079e-04 +[2025-03-25 06:51:16,653 INFO hook.py line 566 195048] Train: [86/100][250/400] Data 0.004 (0.003) Batch 0.193 (0.200) Remain 00:19:07 loss: 0.2035 Lr: 1.67225e-04 +[2025-03-25 06:51:26,650 INFO hook.py line 566 195048] Train: [86/100][300/400] Data 0.004 (0.003) Batch 0.197 (0.200) Remain 00:18:58 loss: 0.0840 Lr: 1.64394e-04 +[2025-03-25 06:51:36,484 INFO hook.py line 566 195048] Train: [86/100][350/400] Data 0.002 (0.003) Batch 0.224 (0.199) Remain 00:18:45 loss: 0.1064 Lr: 1.61585e-04 +[2025-03-25 06:51:45,498 INFO hook.py line 566 195048] Train: [86/100][400/400] Data 0.001 (0.003) Batch 0.141 (0.197) Remain 00:18:22 loss: 0.1458 Lr: 1.58800e-04 +[2025-03-25 06:51:45,499 INFO misc.py line 135 195048] Train result: loss: 0.1813 +[2025-03-25 06:51:45,582 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:51:55,856 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1521 +[2025-03-25 06:51:56,215 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8700 +[2025-03-25 06:51:56,304 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4659 +[2025-03-25 06:51:56,353 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6092 +[2025-03-25 06:51:56,391 INFO hook.py line 748 195048] Test: [5/78] Loss 0.4102 +[2025-03-25 06:51:56,721 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7949 +[2025-03-25 06:51:56,789 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6322 +[2025-03-25 06:51:57,055 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3433 +[2025-03-25 06:51:57,099 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0609 +[2025-03-25 06:51:57,127 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6529 +[2025-03-25 06:51:57,169 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6474 +[2025-03-25 06:51:57,199 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3993 +[2025-03-25 06:51:57,243 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6862 +[2025-03-25 06:51:57,276 INFO hook.py line 748 195048] Test: [14/78] Loss 2.3987 +[2025-03-25 06:51:57,309 INFO hook.py line 748 195048] Test: [15/78] Loss 1.7800 +[2025-03-25 06:51:57,350 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1460 +[2025-03-25 06:51:57,386 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6031 +[2025-03-25 06:51:57,419 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7516 +[2025-03-25 06:51:57,460 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9491 +[2025-03-25 06:51:57,491 INFO hook.py line 748 195048] Test: [20/78] Loss 1.5445 +[2025-03-25 06:51:57,523 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2852 +[2025-03-25 06:51:57,560 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6845 +[2025-03-25 06:51:57,588 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8377 +[2025-03-25 06:51:57,627 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1722 +[2025-03-25 06:51:57,664 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9733 +[2025-03-25 06:51:57,700 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5979 +[2025-03-25 06:51:57,753 INFO hook.py line 748 195048] Test: [27/78] Loss 1.2314 +[2025-03-25 06:51:57,783 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4835 +[2025-03-25 06:51:57,808 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3223 +[2025-03-25 06:51:57,858 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5112 +[2025-03-25 06:51:57,913 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5242 +[2025-03-25 06:51:57,945 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6160 +[2025-03-25 06:51:57,992 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2604 +[2025-03-25 06:51:58,029 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1006 +[2025-03-25 06:51:58,065 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4302 +[2025-03-25 06:51:58,099 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4891 +[2025-03-25 06:51:58,131 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5734 +[2025-03-25 06:51:58,158 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2929 +[2025-03-25 06:51:58,217 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4668 +[2025-03-25 06:51:58,259 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9033 +[2025-03-25 06:51:58,298 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2395 +[2025-03-25 06:51:58,323 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2801 +[2025-03-25 06:51:58,361 INFO hook.py line 748 195048] Test: [43/78] Loss 0.1948 +[2025-03-25 06:51:58,412 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5271 +[2025-03-25 06:51:58,444 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5835 +[2025-03-25 06:51:58,485 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8455 +[2025-03-25 06:51:58,522 INFO hook.py line 748 195048] Test: [47/78] Loss 2.7305 +[2025-03-25 06:51:58,553 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6815 +[2025-03-25 06:51:58,583 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6752 +[2025-03-25 06:51:58,615 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2200 +[2025-03-25 06:51:58,651 INFO hook.py line 748 195048] Test: [51/78] Loss 0.8987 +[2025-03-25 06:51:58,689 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8953 +[2025-03-25 06:51:58,715 INFO hook.py line 748 195048] Test: [53/78] Loss 0.4342 +[2025-03-25 06:51:58,749 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6600 +[2025-03-25 06:51:58,787 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0675 +[2025-03-25 06:51:58,822 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2979 +[2025-03-25 06:51:58,852 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8486 +[2025-03-25 06:51:58,874 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6978 +[2025-03-25 06:51:58,909 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8356 +[2025-03-25 06:51:58,937 INFO hook.py line 748 195048] Test: [60/78] Loss 0.7013 +[2025-03-25 06:51:58,957 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7615 +[2025-03-25 06:51:58,985 INFO hook.py line 748 195048] Test: [62/78] Loss 0.5099 +[2025-03-25 06:51:59,017 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4115 +[2025-03-25 06:51:59,068 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4755 +[2025-03-25 06:51:59,091 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9500 +[2025-03-25 06:51:59,128 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8655 +[2025-03-25 06:51:59,162 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4372 +[2025-03-25 06:51:59,190 INFO hook.py line 748 195048] Test: [68/78] Loss 1.0834 +[2025-03-25 06:51:59,216 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3560 +[2025-03-25 06:51:59,269 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4956 +[2025-03-25 06:51:59,306 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8003 +[2025-03-25 06:51:59,352 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3414 +[2025-03-25 06:51:59,395 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4219 +[2025-03-25 06:51:59,433 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3743 +[2025-03-25 06:51:59,479 INFO hook.py line 748 195048] Test: [75/78] Loss 0.6920 +[2025-03-25 06:51:59,504 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8421 +[2025-03-25 06:51:59,554 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4846 +[2025-03-25 06:51:59,576 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6166 +[2025-03-25 06:52:00,539 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:52:00,539 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:52:00,539 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:52:00,539 INFO hook.py line 689 195048] wall : 0.8255 0.9306 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] floor : 0.9575 0.9816 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] cabinet : 0.5915 0.7298 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] bed : 0.7693 0.8495 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] chair : 0.8867 0.9426 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] sofa : 0.8186 0.9067 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] table : 0.6886 0.8335 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] door : 0.6164 0.7562 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] window : 0.5366 0.6710 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] bookshelf : 0.7568 0.8810 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] picture : 0.2760 0.4038 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] counter : 0.5342 0.6371 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] desk : 0.5510 0.6763 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] curtain : 0.6803 0.8229 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] refridgerator : 0.4336 0.4815 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] shower curtain : 0.6683 0.7464 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] toilet : 0.8806 0.9452 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] sink : 0.5820 0.6932 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] bathtub : 0.8512 0.9083 +[2025-03-25 06:52:00,540 INFO hook.py line 689 195048] otherfurniture : 0.5265 0.6017 +[2025-03-25 06:52:00,540 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:52:00,540 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6716/0.7699/0.8841. +[2025-03-25 06:52:00,541 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:52:00,553 INFO misc.py line 164 195048] Currently Best mIoU: 0.6730 +[2025-03-25 06:52:00,553 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:52:14,327 INFO hook.py line 566 195048] Train: [87/100][50/400] Data 0.003 (0.003) Batch 0.189 (0.199) Remain 00:18:26 loss: 0.2107 Lr: 1.56037e-04 +[2025-03-25 06:52:24,274 INFO hook.py line 566 195048] Train: [87/100][100/400] Data 0.003 (0.003) Batch 0.224 (0.199) Remain 00:18:15 loss: 0.1334 Lr: 1.53298e-04 +[2025-03-25 06:52:34,059 INFO hook.py line 566 195048] Train: [87/100][150/400] Data 0.003 (0.003) Batch 0.187 (0.198) Remain 00:17:58 loss: 0.2180 Lr: 1.50581e-04 +[2025-03-25 06:52:43,882 INFO hook.py line 566 195048] Train: [87/100][200/400] Data 0.004 (0.003) Batch 0.183 (0.198) Remain 00:17:47 loss: 0.0882 Lr: 1.47888e-04 +[2025-03-25 06:52:53,637 INFO hook.py line 566 195048] Train: [87/100][250/400] Data 0.003 (0.003) Batch 0.211 (0.197) Remain 00:17:34 loss: 0.0437 Lr: 1.45218e-04 +[2025-03-25 06:53:03,463 INFO hook.py line 566 195048] Train: [87/100][300/400] Data 0.002 (0.003) Batch 0.187 (0.197) Remain 00:17:24 loss: 0.1243 Lr: 1.42570e-04 +[2025-03-25 06:53:13,783 INFO hook.py line 566 195048] Train: [87/100][350/400] Data 0.003 (0.003) Batch 0.185 (0.198) Remain 00:17:21 loss: 0.0162 Lr: 1.39946e-04 +[2025-03-25 06:53:22,764 INFO hook.py line 566 195048] Train: [87/100][400/400] Data 0.001 (0.003) Batch 0.152 (0.196) Remain 00:16:59 loss: 0.0812 Lr: 1.37346e-04 +[2025-03-25 06:53:22,765 INFO misc.py line 135 195048] Train result: loss: 0.1824 +[2025-03-25 06:53:22,853 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:53:33,230 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1550 +[2025-03-25 06:53:33,818 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7491 +[2025-03-25 06:53:33,857 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4530 +[2025-03-25 06:53:33,900 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6645 +[2025-03-25 06:53:33,928 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3717 +[2025-03-25 06:53:33,981 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7493 +[2025-03-25 06:53:34,400 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5908 +[2025-03-25 06:53:34,423 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3537 +[2025-03-25 06:53:34,467 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0746 +[2025-03-25 06:53:34,497 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5330 +[2025-03-25 06:53:34,542 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6153 +[2025-03-25 06:53:34,573 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3474 +[2025-03-25 06:53:34,615 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5981 +[2025-03-25 06:53:34,649 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5218 +[2025-03-25 06:53:34,684 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8244 +[2025-03-25 06:53:34,730 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1396 +[2025-03-25 06:53:34,765 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6642 +[2025-03-25 06:53:34,796 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8018 +[2025-03-25 06:53:34,845 INFO hook.py line 748 195048] Test: [19/78] Loss 0.8671 +[2025-03-25 06:53:34,873 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4488 +[2025-03-25 06:53:34,904 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2464 +[2025-03-25 06:53:34,942 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6290 +[2025-03-25 06:53:34,968 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7828 +[2025-03-25 06:53:35,007 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1091 +[2025-03-25 06:53:35,045 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8797 +[2025-03-25 06:53:35,082 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5763 +[2025-03-25 06:53:35,129 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3867 +[2025-03-25 06:53:35,159 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4347 +[2025-03-25 06:53:35,184 INFO hook.py line 748 195048] Test: [29/78] Loss 0.2766 +[2025-03-25 06:53:35,231 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5575 +[2025-03-25 06:53:35,289 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5491 +[2025-03-25 06:53:35,319 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5282 +[2025-03-25 06:53:35,366 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3006 +[2025-03-25 06:53:35,405 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1283 +[2025-03-25 06:53:35,439 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3968 +[2025-03-25 06:53:35,472 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4479 +[2025-03-25 06:53:35,509 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5537 +[2025-03-25 06:53:35,546 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3118 +[2025-03-25 06:53:35,602 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4380 +[2025-03-25 06:53:35,643 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0504 +[2025-03-25 06:53:35,682 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2153 +[2025-03-25 06:53:35,704 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2500 +[2025-03-25 06:53:35,739 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2018 +[2025-03-25 06:53:35,791 INFO hook.py line 748 195048] Test: [44/78] Loss 0.4922 +[2025-03-25 06:53:35,820 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5469 +[2025-03-25 06:53:35,862 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9104 +[2025-03-25 06:53:35,896 INFO hook.py line 748 195048] Test: [47/78] Loss 2.9739 +[2025-03-25 06:53:35,928 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6579 +[2025-03-25 06:53:35,965 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7642 +[2025-03-25 06:53:35,999 INFO hook.py line 748 195048] Test: [50/78] Loss 1.3016 +[2025-03-25 06:53:36,032 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1494 +[2025-03-25 06:53:36,064 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9518 +[2025-03-25 06:53:36,092 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3344 +[2025-03-25 06:53:36,130 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5339 +[2025-03-25 06:53:36,165 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0532 +[2025-03-25 06:53:36,202 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2871 +[2025-03-25 06:53:36,234 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7429 +[2025-03-25 06:53:36,257 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5710 +[2025-03-25 06:53:36,292 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8231 +[2025-03-25 06:53:36,321 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6244 +[2025-03-25 06:53:36,342 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6911 +[2025-03-25 06:53:36,371 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4673 +[2025-03-25 06:53:36,402 INFO hook.py line 748 195048] Test: [63/78] Loss 1.2118 +[2025-03-25 06:53:36,453 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3187 +[2025-03-25 06:53:36,478 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9663 +[2025-03-25 06:53:36,514 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7368 +[2025-03-25 06:53:36,550 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4133 +[2025-03-25 06:53:36,578 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1766 +[2025-03-25 06:53:36,604 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3585 +[2025-03-25 06:53:36,656 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5965 +[2025-03-25 06:53:36,694 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7836 +[2025-03-25 06:53:36,740 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3473 +[2025-03-25 06:53:36,783 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3885 +[2025-03-25 06:53:36,820 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2914 +[2025-03-25 06:53:36,866 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7619 +[2025-03-25 06:53:36,891 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8153 +[2025-03-25 06:53:36,941 INFO hook.py line 748 195048] Test: [77/78] Loss 0.4798 +[2025-03-25 06:53:36,964 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6364 +[2025-03-25 06:53:37,951 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:53:37,952 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:53:37,952 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:53:37,952 INFO hook.py line 689 195048] wall : 0.8279 0.9361 +[2025-03-25 06:53:37,952 INFO hook.py line 689 195048] floor : 0.9569 0.9838 +[2025-03-25 06:53:37,952 INFO hook.py line 689 195048] cabinet : 0.5977 0.7421 +[2025-03-25 06:53:37,952 INFO hook.py line 689 195048] bed : 0.7540 0.8549 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] chair : 0.8869 0.9384 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] sofa : 0.8137 0.9096 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] table : 0.6913 0.7998 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] door : 0.5992 0.7319 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] window : 0.5317 0.6647 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] bookshelf : 0.7617 0.8669 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] picture : 0.2762 0.3565 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] counter : 0.5441 0.6498 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] desk : 0.5820 0.7301 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] curtain : 0.6872 0.7917 +[2025-03-25 06:53:37,953 INFO hook.py line 689 195048] refridgerator : 0.4565 0.5033 +[2025-03-25 06:53:37,954 INFO hook.py line 689 195048] shower curtain : 0.6745 0.7432 +[2025-03-25 06:53:37,954 INFO hook.py line 689 195048] toilet : 0.8899 0.9484 +[2025-03-25 06:53:37,954 INFO hook.py line 689 195048] sink : 0.5831 0.6729 +[2025-03-25 06:53:37,954 INFO hook.py line 689 195048] bathtub : 0.8496 0.9069 +[2025-03-25 06:53:37,954 INFO hook.py line 689 195048] otherfurniture : 0.5324 0.6245 +[2025-03-25 06:53:37,954 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:53:37,954 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6748/0.7678/0.8850. +[2025-03-25 06:53:37,955 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:53:37,967 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6748 +[2025-03-25 06:53:37,967 INFO misc.py line 164 195048] Currently Best mIoU: 0.6748 +[2025-03-25 06:53:37,968 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:53:52,140 INFO hook.py line 566 195048] Train: [88/100][50/400] Data 0.003 (0.003) Batch 0.204 (0.199) Remain 00:17:04 loss: 0.1106 Lr: 1.34768e-04 +[2025-03-25 06:54:02,126 INFO hook.py line 566 195048] Train: [88/100][100/400] Data 0.002 (0.003) Batch 0.201 (0.199) Remain 00:16:56 loss: 0.2488 Lr: 1.32214e-04 +[2025-03-25 06:54:11,817 INFO hook.py line 566 195048] Train: [88/100][150/400] Data 0.002 (0.003) Batch 0.193 (0.197) Remain 00:16:37 loss: 0.4145 Lr: 1.29683e-04 +[2025-03-25 06:54:21,699 INFO hook.py line 566 195048] Train: [88/100][200/400] Data 0.004 (0.003) Batch 0.207 (0.198) Remain 00:16:27 loss: 0.2474 Lr: 1.27176e-04 +[2025-03-25 06:54:31,688 INFO hook.py line 566 195048] Train: [88/100][250/400] Data 0.003 (0.003) Batch 0.215 (0.198) Remain 00:16:19 loss: 0.0144 Lr: 1.24692e-04 +[2025-03-25 06:54:41,500 INFO hook.py line 566 195048] Train: [88/100][300/400] Data 0.003 (0.003) Batch 0.201 (0.198) Remain 00:16:08 loss: 0.0880 Lr: 1.22232e-04 +[2025-03-25 06:54:51,559 INFO hook.py line 566 195048] Train: [88/100][350/400] Data 0.002 (0.003) Batch 0.210 (0.198) Remain 00:16:01 loss: 0.3439 Lr: 1.19795e-04 +[2025-03-25 06:55:00,476 INFO hook.py line 566 195048] Train: [88/100][400/400] Data 0.001 (0.003) Batch 0.142 (0.196) Remain 00:15:39 loss: 0.1231 Lr: 1.17381e-04 +[2025-03-25 06:55:00,476 INFO misc.py line 135 195048] Train result: loss: 0.1755 +[2025-03-25 06:55:00,559 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:55:10,954 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1772 +[2025-03-25 06:55:11,784 INFO hook.py line 748 195048] Test: [2/78] Loss 0.8539 +[2025-03-25 06:55:11,823 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5007 +[2025-03-25 06:55:11,926 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6378 +[2025-03-25 06:55:11,963 INFO hook.py line 748 195048] Test: [5/78] Loss 0.5027 +[2025-03-25 06:55:12,020 INFO hook.py line 748 195048] Test: [6/78] Loss 1.9276 +[2025-03-25 06:55:12,074 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5466 +[2025-03-25 06:55:12,098 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3607 +[2025-03-25 06:55:12,142 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0689 +[2025-03-25 06:55:12,171 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5382 +[2025-03-25 06:55:12,212 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7498 +[2025-03-25 06:55:12,242 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3888 +[2025-03-25 06:55:12,286 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6878 +[2025-03-25 06:55:12,319 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6654 +[2025-03-25 06:55:12,352 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9978 +[2025-03-25 06:55:12,394 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1283 +[2025-03-25 06:55:12,430 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5705 +[2025-03-25 06:55:12,461 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8254 +[2025-03-25 06:55:12,503 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9999 +[2025-03-25 06:55:12,532 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4914 +[2025-03-25 06:55:12,565 INFO hook.py line 748 195048] Test: [21/78] Loss 0.3012 +[2025-03-25 06:55:12,601 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7013 +[2025-03-25 06:55:12,626 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8691 +[2025-03-25 06:55:12,674 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0830 +[2025-03-25 06:55:12,711 INFO hook.py line 748 195048] Test: [25/78] Loss 1.1729 +[2025-03-25 06:55:12,747 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5809 +[2025-03-25 06:55:12,793 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4090 +[2025-03-25 06:55:12,826 INFO hook.py line 748 195048] Test: [28/78] Loss 0.5623 +[2025-03-25 06:55:12,851 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3351 +[2025-03-25 06:55:12,898 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5854 +[2025-03-25 06:55:12,955 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5889 +[2025-03-25 06:55:12,986 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5662 +[2025-03-25 06:55:13,034 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2854 +[2025-03-25 06:55:13,071 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1211 +[2025-03-25 06:55:13,108 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3568 +[2025-03-25 06:55:13,144 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3450 +[2025-03-25 06:55:13,176 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5779 +[2025-03-25 06:55:13,204 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3083 +[2025-03-25 06:55:13,259 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4714 +[2025-03-25 06:55:13,306 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0425 +[2025-03-25 06:55:13,344 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2001 +[2025-03-25 06:55:13,366 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2704 +[2025-03-25 06:55:13,398 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2400 +[2025-03-25 06:55:13,450 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5325 +[2025-03-25 06:55:13,481 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6277 +[2025-03-25 06:55:13,522 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8632 +[2025-03-25 06:55:13,558 INFO hook.py line 748 195048] Test: [47/78] Loss 2.9675 +[2025-03-25 06:55:13,597 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7561 +[2025-03-25 06:55:13,630 INFO hook.py line 748 195048] Test: [49/78] Loss 1.8295 +[2025-03-25 06:55:13,661 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2404 +[2025-03-25 06:55:13,694 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2573 +[2025-03-25 06:55:13,732 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8995 +[2025-03-25 06:55:13,757 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3344 +[2025-03-25 06:55:13,792 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5311 +[2025-03-25 06:55:13,830 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0539 +[2025-03-25 06:55:13,865 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2814 +[2025-03-25 06:55:13,895 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7846 +[2025-03-25 06:55:13,919 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6074 +[2025-03-25 06:55:13,954 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8427 +[2025-03-25 06:55:13,982 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6997 +[2025-03-25 06:55:14,002 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8092 +[2025-03-25 06:55:14,030 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4835 +[2025-03-25 06:55:14,063 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3519 +[2025-03-25 06:55:14,114 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4004 +[2025-03-25 06:55:14,137 INFO hook.py line 748 195048] Test: [65/78] Loss 1.0617 +[2025-03-25 06:55:14,174 INFO hook.py line 748 195048] Test: [66/78] Loss 0.6921 +[2025-03-25 06:55:14,208 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4751 +[2025-03-25 06:55:14,236 INFO hook.py line 748 195048] Test: [68/78] Loss 1.2146 +[2025-03-25 06:55:14,263 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3460 +[2025-03-25 06:55:14,316 INFO hook.py line 748 195048] Test: [70/78] Loss 1.3916 +[2025-03-25 06:55:14,354 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8445 +[2025-03-25 06:55:14,400 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3861 +[2025-03-25 06:55:14,443 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4226 +[2025-03-25 06:55:14,481 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2773 +[2025-03-25 06:55:14,527 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7497 +[2025-03-25 06:55:14,551 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8973 +[2025-03-25 06:55:14,601 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6920 +[2025-03-25 06:55:14,623 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6024 +[2025-03-25 06:55:15,702 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:55:15,702 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:55:15,702 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:55:15,702 INFO hook.py line 689 195048] wall : 0.8250 0.9365 +[2025-03-25 06:55:15,702 INFO hook.py line 689 195048] floor : 0.9567 0.9826 +[2025-03-25 06:55:15,702 INFO hook.py line 689 195048] cabinet : 0.5906 0.7332 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] bed : 0.7636 0.8466 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] chair : 0.8852 0.9410 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] sofa : 0.8220 0.9094 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] table : 0.6929 0.7969 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] door : 0.5984 0.7255 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] window : 0.5170 0.6187 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] bookshelf : 0.7515 0.8658 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] picture : 0.2762 0.3798 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] counter : 0.5317 0.6528 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] desk : 0.5800 0.7661 +[2025-03-25 06:55:15,703 INFO hook.py line 689 195048] curtain : 0.6569 0.7729 +[2025-03-25 06:55:15,704 INFO hook.py line 689 195048] refridgerator : 0.4794 0.5397 +[2025-03-25 06:55:15,704 INFO hook.py line 689 195048] shower curtain : 0.6628 0.7312 +[2025-03-25 06:55:15,704 INFO hook.py line 689 195048] toilet : 0.8854 0.9489 +[2025-03-25 06:55:15,704 INFO hook.py line 689 195048] sink : 0.5823 0.6859 +[2025-03-25 06:55:15,704 INFO hook.py line 689 195048] bathtub : 0.8611 0.9128 +[2025-03-25 06:55:15,704 INFO hook.py line 689 195048] otherfurniture : 0.5319 0.6300 +[2025-03-25 06:55:15,704 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:55:15,704 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6725/0.7688/0.8834. +[2025-03-25 06:55:15,705 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:55:15,717 INFO misc.py line 164 195048] Currently Best mIoU: 0.6748 +[2025-03-25 06:55:15,718 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:55:28,835 INFO hook.py line 566 195048] Train: [89/100][50/400] Data 0.003 (0.011) Batch 0.176 (0.207) Remain 00:16:22 loss: 0.3319 Lr: 1.14992e-04 +[2025-03-25 06:55:38,789 INFO hook.py line 566 195048] Train: [89/100][100/400] Data 0.004 (0.007) Batch 0.213 (0.203) Remain 00:15:53 loss: 0.0831 Lr: 1.12626e-04 +[2025-03-25 06:55:48,745 INFO hook.py line 566 195048] Train: [89/100][150/400] Data 0.003 (0.006) Batch 0.188 (0.202) Remain 00:15:37 loss: 0.1300 Lr: 1.10284e-04 +[2025-03-25 06:55:58,704 INFO hook.py line 566 195048] Train: [89/100][200/400] Data 0.003 (0.005) Batch 0.209 (0.201) Remain 00:15:24 loss: 0.1389 Lr: 1.07965e-04 +[2025-03-25 06:56:08,882 INFO hook.py line 566 195048] Train: [89/100][250/400] Data 0.003 (0.005) Batch 0.199 (0.201) Remain 00:15:16 loss: 0.2514 Lr: 1.05670e-04 +[2025-03-25 06:56:19,068 INFO hook.py line 566 195048] Train: [89/100][300/400] Data 0.003 (0.004) Batch 0.204 (0.202) Remain 00:15:08 loss: 0.0994 Lr: 1.03400e-04 +[2025-03-25 06:56:28,936 INFO hook.py line 566 195048] Train: [89/100][350/400] Data 0.002 (0.004) Batch 0.185 (0.201) Remain 00:14:55 loss: 0.0223 Lr: 1.01152e-04 +[2025-03-25 06:56:37,754 INFO hook.py line 566 195048] Train: [89/100][400/400] Data 0.001 (0.004) Batch 0.158 (0.198) Remain 00:14:31 loss: 0.0237 Lr: 9.89294e-05 +[2025-03-25 06:56:37,755 INFO misc.py line 135 195048] Train result: loss: 0.1702 +[2025-03-25 06:56:37,848 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:56:48,824 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1853 +[2025-03-25 06:56:48,870 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7678 +[2025-03-25 06:56:49,003 INFO hook.py line 748 195048] Test: [3/78] Loss 0.5407 +[2025-03-25 06:56:49,047 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6548 +[2025-03-25 06:56:49,078 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3752 +[2025-03-25 06:56:49,363 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8265 +[2025-03-25 06:56:49,410 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5752 +[2025-03-25 06:56:49,441 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3533 +[2025-03-25 06:56:49,481 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0077 +[2025-03-25 06:56:49,511 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5424 +[2025-03-25 06:56:49,554 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7113 +[2025-03-25 06:56:49,584 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2079 +[2025-03-25 06:56:49,628 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6256 +[2025-03-25 06:56:49,662 INFO hook.py line 748 195048] Test: [14/78] Loss 2.8421 +[2025-03-25 06:56:49,694 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8545 +[2025-03-25 06:56:49,736 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1308 +[2025-03-25 06:56:49,780 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6604 +[2025-03-25 06:56:49,818 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7390 +[2025-03-25 06:56:49,856 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9598 +[2025-03-25 06:56:49,885 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4616 +[2025-03-25 06:56:49,916 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2843 +[2025-03-25 06:56:49,953 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7611 +[2025-03-25 06:56:49,977 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8149 +[2025-03-25 06:56:50,016 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0956 +[2025-03-25 06:56:50,053 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8318 +[2025-03-25 06:56:50,090 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5191 +[2025-03-25 06:56:50,142 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4948 +[2025-03-25 06:56:50,171 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4236 +[2025-03-25 06:56:50,197 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3082 +[2025-03-25 06:56:50,248 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5932 +[2025-03-25 06:56:50,302 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5092 +[2025-03-25 06:56:50,334 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5598 +[2025-03-25 06:56:50,381 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3012 +[2025-03-25 06:56:50,420 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1902 +[2025-03-25 06:56:50,455 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3994 +[2025-03-25 06:56:50,486 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3946 +[2025-03-25 06:56:50,519 INFO hook.py line 748 195048] Test: [37/78] Loss 0.6099 +[2025-03-25 06:56:50,551 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3054 +[2025-03-25 06:56:50,606 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4427 +[2025-03-25 06:56:50,647 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0659 +[2025-03-25 06:56:50,685 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2554 +[2025-03-25 06:56:50,710 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2287 +[2025-03-25 06:56:50,742 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2492 +[2025-03-25 06:56:50,794 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5229 +[2025-03-25 06:56:50,822 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5710 +[2025-03-25 06:56:50,864 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9319 +[2025-03-25 06:56:50,900 INFO hook.py line 748 195048] Test: [47/78] Loss 3.0716 +[2025-03-25 06:56:50,932 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7435 +[2025-03-25 06:56:50,964 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7350 +[2025-03-25 06:56:50,996 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2670 +[2025-03-25 06:56:51,025 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1255 +[2025-03-25 06:56:51,062 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9847 +[2025-03-25 06:56:51,088 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3623 +[2025-03-25 06:56:51,121 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5795 +[2025-03-25 06:56:51,159 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0524 +[2025-03-25 06:56:51,195 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2955 +[2025-03-25 06:56:51,224 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7673 +[2025-03-25 06:56:51,247 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5921 +[2025-03-25 06:56:51,281 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8666 +[2025-03-25 06:56:51,310 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6076 +[2025-03-25 06:56:51,329 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7684 +[2025-03-25 06:56:51,358 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4111 +[2025-03-25 06:56:51,390 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4634 +[2025-03-25 06:56:51,440 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4091 +[2025-03-25 06:56:51,463 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9967 +[2025-03-25 06:56:51,500 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7906 +[2025-03-25 06:56:51,535 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4570 +[2025-03-25 06:56:51,563 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1919 +[2025-03-25 06:56:51,590 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3449 +[2025-03-25 06:56:51,642 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4776 +[2025-03-25 06:56:51,680 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8435 +[2025-03-25 06:56:51,725 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3778 +[2025-03-25 06:56:51,769 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4203 +[2025-03-25 06:56:51,806 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2263 +[2025-03-25 06:56:51,852 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7697 +[2025-03-25 06:56:51,877 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8424 +[2025-03-25 06:56:51,926 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7194 +[2025-03-25 06:56:51,949 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6616 +[2025-03-25 06:56:52,957 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:56:52,957 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:56:52,957 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:56:52,957 INFO hook.py line 689 195048] wall : 0.8262 0.9351 +[2025-03-25 06:56:52,957 INFO hook.py line 689 195048] floor : 0.9563 0.9844 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] cabinet : 0.6061 0.7500 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] bed : 0.7604 0.8450 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] chair : 0.8846 0.9417 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] sofa : 0.8213 0.9133 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] table : 0.6896 0.7852 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] door : 0.5996 0.7220 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] window : 0.5286 0.6517 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] bookshelf : 0.7566 0.8727 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] picture : 0.2689 0.3582 +[2025-03-25 06:56:52,958 INFO hook.py line 689 195048] counter : 0.5483 0.6719 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] desk : 0.5745 0.7266 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] curtain : 0.6651 0.8015 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] refridgerator : 0.4659 0.5073 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] shower curtain : 0.6656 0.7329 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] toilet : 0.8853 0.9478 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] sink : 0.5911 0.7025 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] bathtub : 0.8583 0.9168 +[2025-03-25 06:56:52,959 INFO hook.py line 689 195048] otherfurniture : 0.5249 0.6230 +[2025-03-25 06:56:52,959 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:56:52,959 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6739/0.7695/0.8842. +[2025-03-25 06:56:52,960 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:56:52,971 INFO misc.py line 164 195048] Currently Best mIoU: 0.6748 +[2025-03-25 06:56:52,971 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:57:06,368 INFO hook.py line 566 195048] Train: [90/100][50/400] Data 0.002 (0.003) Batch 0.205 (0.201) Remain 00:14:36 loss: 0.2179 Lr: 9.67302e-05 +[2025-03-25 06:57:16,283 INFO hook.py line 566 195048] Train: [90/100][100/400] Data 0.003 (0.003) Batch 0.224 (0.200) Remain 00:14:19 loss: 0.1345 Lr: 9.45550e-05 +[2025-03-25 06:57:26,278 INFO hook.py line 566 195048] Train: [90/100][150/400] Data 0.002 (0.003) Batch 0.199 (0.200) Remain 00:14:09 loss: 0.1580 Lr: 9.24038e-05 +[2025-03-25 06:57:36,167 INFO hook.py line 566 195048] Train: [90/100][200/400] Data 0.004 (0.003) Batch 0.191 (0.199) Remain 00:13:57 loss: 0.1393 Lr: 9.02767e-05 +[2025-03-25 06:57:46,046 INFO hook.py line 566 195048] Train: [90/100][250/400] Data 0.003 (0.003) Batch 0.194 (0.199) Remain 00:13:45 loss: 0.2082 Lr: 8.81737e-05 +[2025-03-25 06:57:56,096 INFO hook.py line 566 195048] Train: [90/100][300/400] Data 0.003 (0.003) Batch 0.173 (0.199) Remain 00:13:37 loss: 0.0754 Lr: 8.60948e-05 +[2025-03-25 06:58:06,310 INFO hook.py line 566 195048] Train: [90/100][350/400] Data 0.002 (0.003) Batch 0.214 (0.200) Remain 00:13:30 loss: 0.2612 Lr: 8.40400e-05 +[2025-03-25 06:58:15,223 INFO hook.py line 566 195048] Train: [90/100][400/400] Data 0.001 (0.003) Batch 0.160 (0.197) Remain 00:13:09 loss: 0.0929 Lr: 8.20095e-05 +[2025-03-25 06:58:15,224 INFO misc.py line 135 195048] Train result: loss: 0.1756 +[2025-03-25 06:58:15,305 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 06:58:25,780 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1999 +[2025-03-25 06:58:25,871 INFO hook.py line 748 195048] Test: [2/78] Loss 0.7542 +[2025-03-25 06:58:26,298 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3908 +[2025-03-25 06:58:26,341 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6184 +[2025-03-25 06:58:26,372 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3550 +[2025-03-25 06:58:26,426 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8251 +[2025-03-25 06:58:26,478 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5987 +[2025-03-25 06:58:26,510 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3442 +[2025-03-25 06:58:26,551 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0480 +[2025-03-25 06:58:26,586 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5287 +[2025-03-25 06:58:26,640 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7571 +[2025-03-25 06:58:26,671 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2656 +[2025-03-25 06:58:26,713 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5726 +[2025-03-25 06:58:26,748 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6305 +[2025-03-25 06:58:26,790 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8480 +[2025-03-25 06:58:26,833 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1289 +[2025-03-25 06:58:26,869 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6280 +[2025-03-25 06:58:26,900 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7163 +[2025-03-25 06:58:26,940 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0435 +[2025-03-25 06:58:26,977 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4894 +[2025-03-25 06:58:27,009 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2845 +[2025-03-25 06:58:27,056 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7671 +[2025-03-25 06:58:27,095 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7328 +[2025-03-25 06:58:27,137 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1144 +[2025-03-25 06:58:27,174 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0146 +[2025-03-25 06:58:27,212 INFO hook.py line 748 195048] Test: [26/78] Loss 0.4951 +[2025-03-25 06:58:27,256 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3102 +[2025-03-25 06:58:27,285 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4532 +[2025-03-25 06:58:27,312 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3131 +[2025-03-25 06:58:27,358 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5861 +[2025-03-25 06:58:27,412 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5174 +[2025-03-25 06:58:27,447 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5685 +[2025-03-25 06:58:27,494 INFO hook.py line 748 195048] Test: [33/78] Loss 0.3002 +[2025-03-25 06:58:27,532 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1612 +[2025-03-25 06:58:27,568 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4088 +[2025-03-25 06:58:27,602 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4286 +[2025-03-25 06:58:27,634 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5801 +[2025-03-25 06:58:27,664 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2985 +[2025-03-25 06:58:27,718 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4301 +[2025-03-25 06:58:27,759 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0385 +[2025-03-25 06:58:27,799 INFO hook.py line 748 195048] Test: [41/78] Loss 1.3057 +[2025-03-25 06:58:27,822 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2409 +[2025-03-25 06:58:27,855 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2615 +[2025-03-25 06:58:27,908 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5650 +[2025-03-25 06:58:27,937 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5676 +[2025-03-25 06:58:27,979 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8921 +[2025-03-25 06:58:28,015 INFO hook.py line 748 195048] Test: [47/78] Loss 2.9473 +[2025-03-25 06:58:28,060 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7817 +[2025-03-25 06:58:28,093 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7589 +[2025-03-25 06:58:28,125 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2825 +[2025-03-25 06:58:28,156 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0868 +[2025-03-25 06:58:28,190 INFO hook.py line 748 195048] Test: [52/78] Loss 0.8918 +[2025-03-25 06:58:28,218 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3690 +[2025-03-25 06:58:28,255 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5832 +[2025-03-25 06:58:28,289 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0597 +[2025-03-25 06:58:28,324 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2944 +[2025-03-25 06:58:28,353 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8054 +[2025-03-25 06:58:28,376 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5494 +[2025-03-25 06:58:28,411 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8487 +[2025-03-25 06:58:28,439 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6708 +[2025-03-25 06:58:28,459 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8089 +[2025-03-25 06:58:28,487 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4252 +[2025-03-25 06:58:28,519 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4743 +[2025-03-25 06:58:28,570 INFO hook.py line 748 195048] Test: [64/78] Loss 1.5183 +[2025-03-25 06:58:28,593 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9551 +[2025-03-25 06:58:28,630 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8956 +[2025-03-25 06:58:28,664 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4685 +[2025-03-25 06:58:28,692 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1820 +[2025-03-25 06:58:28,718 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3494 +[2025-03-25 06:58:28,771 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5848 +[2025-03-25 06:58:28,808 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8255 +[2025-03-25 06:58:28,854 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3694 +[2025-03-25 06:58:28,897 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3960 +[2025-03-25 06:58:28,935 INFO hook.py line 748 195048] Test: [74/78] Loss 2.2002 +[2025-03-25 06:58:28,981 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7378 +[2025-03-25 06:58:29,005 INFO hook.py line 748 195048] Test: [76/78] Loss 0.9085 +[2025-03-25 06:58:29,054 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8130 +[2025-03-25 06:58:29,077 INFO hook.py line 748 195048] Test: [78/78] Loss 0.5952 +[2025-03-25 06:58:30,032 INFO hook.py line 674 195048] ######################################## +[2025-03-25 06:58:30,032 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 06:58:30,033 INFO hook.py line 680 195048] ######################################## +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] wall : 0.8281 0.9357 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] floor : 0.9570 0.9824 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] cabinet : 0.6058 0.7415 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] bed : 0.7641 0.8500 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] chair : 0.8839 0.9431 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] sofa : 0.8224 0.9002 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] table : 0.6936 0.8036 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] door : 0.5992 0.7413 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] window : 0.5219 0.6349 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] bookshelf : 0.7610 0.8825 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] picture : 0.2697 0.3580 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] counter : 0.5334 0.6418 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] desk : 0.5703 0.7207 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] curtain : 0.6819 0.8275 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] refridgerator : 0.4296 0.4619 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] shower curtain : 0.6676 0.7497 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] toilet : 0.8858 0.9437 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] sink : 0.5973 0.7084 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] bathtub : 0.8590 0.9130 +[2025-03-25 06:58:30,033 INFO hook.py line 689 195048] otherfurniture : 0.5325 0.6260 +[2025-03-25 06:58:30,033 INFO hook.py line 690 195048] ######################################## +[2025-03-25 06:58:30,033 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6732/0.7683/0.8849. +[2025-03-25 06:58:30,034 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 06:58:30,044 INFO misc.py line 164 195048] Currently Best mIoU: 0.6748 +[2025-03-25 06:58:30,044 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 06:58:43,421 INFO hook.py line 566 195048] Train: [91/100][50/400] Data 0.002 (0.003) Batch 0.207 (0.204) Remain 00:13:24 loss: 0.0608 Lr: 8.00032e-05 +[2025-03-25 06:58:53,305 INFO hook.py line 566 195048] Train: [91/100][100/400] Data 0.005 (0.003) Batch 0.200 (0.201) Remain 00:13:02 loss: 0.0645 Lr: 7.80211e-05 +[2025-03-25 06:59:03,183 INFO hook.py line 566 195048] Train: [91/100][150/400] Data 0.002 (0.003) Batch 0.200 (0.200) Remain 00:12:48 loss: 0.0735 Lr: 7.60634e-05 +[2025-03-25 06:59:12,993 INFO hook.py line 566 195048] Train: [91/100][200/400] Data 0.003 (0.003) Batch 0.201 (0.199) Remain 00:12:34 loss: 0.0149 Lr: 7.41300e-05 +[2025-03-25 06:59:22,773 INFO hook.py line 566 195048] Train: [91/100][250/400] Data 0.003 (0.003) Batch 0.202 (0.198) Remain 00:12:22 loss: 0.1341 Lr: 7.22209e-05 +[2025-03-25 06:59:32,703 INFO hook.py line 566 195048] Train: [91/100][300/400] Data 0.003 (0.003) Batch 0.180 (0.198) Remain 00:12:13 loss: 0.1317 Lr: 7.03363e-05 +[2025-03-25 06:59:42,713 INFO hook.py line 566 195048] Train: [91/100][350/400] Data 0.002 (0.003) Batch 0.222 (0.198) Remain 00:12:04 loss: 0.1148 Lr: 6.84761e-05 +[2025-03-25 06:59:51,777 INFO hook.py line 566 195048] Train: [91/100][400/400] Data 0.001 (0.003) Batch 0.156 (0.196) Remain 00:11:46 loss: 0.0908 Lr: 6.66403e-05 +[2025-03-25 06:59:51,778 INFO misc.py line 135 195048] Train result: loss: 0.1557 +[2025-03-25 06:59:51,861 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:00:02,288 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1813 +[2025-03-25 07:00:02,333 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6721 +[2025-03-25 07:00:02,371 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3954 +[2025-03-25 07:00:02,502 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6067 +[2025-03-25 07:00:02,726 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3222 +[2025-03-25 07:00:02,776 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7610 +[2025-03-25 07:00:02,823 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5781 +[2025-03-25 07:00:03,018 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3584 +[2025-03-25 07:00:03,415 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0352 +[2025-03-25 07:00:03,460 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6243 +[2025-03-25 07:00:03,505 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6347 +[2025-03-25 07:00:03,594 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3792 +[2025-03-25 07:00:03,637 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6132 +[2025-03-25 07:00:03,675 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5159 +[2025-03-25 07:00:03,708 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8615 +[2025-03-25 07:00:03,754 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1301 +[2025-03-25 07:00:03,789 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5754 +[2025-03-25 07:00:03,822 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8192 +[2025-03-25 07:00:03,861 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0196 +[2025-03-25 07:00:03,893 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4284 +[2025-03-25 07:00:03,925 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2909 +[2025-03-25 07:00:03,974 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7736 +[2025-03-25 07:00:04,005 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8236 +[2025-03-25 07:00:04,044 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0588 +[2025-03-25 07:00:04,082 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9298 +[2025-03-25 07:00:04,125 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5203 +[2025-03-25 07:00:04,170 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4795 +[2025-03-25 07:00:04,199 INFO hook.py line 748 195048] Test: [28/78] Loss 0.3961 +[2025-03-25 07:00:04,226 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3009 +[2025-03-25 07:00:04,276 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5521 +[2025-03-25 07:00:04,333 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4848 +[2025-03-25 07:00:04,364 INFO hook.py line 748 195048] Test: [32/78] Loss 0.5902 +[2025-03-25 07:00:04,412 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2916 +[2025-03-25 07:00:04,450 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1408 +[2025-03-25 07:00:04,485 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4630 +[2025-03-25 07:00:04,519 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3793 +[2025-03-25 07:00:04,552 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5304 +[2025-03-25 07:00:04,581 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3040 +[2025-03-25 07:00:04,635 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4480 +[2025-03-25 07:00:04,680 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9183 +[2025-03-25 07:00:04,718 INFO hook.py line 748 195048] Test: [41/78] Loss 1.3331 +[2025-03-25 07:00:04,741 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2383 +[2025-03-25 07:00:04,772 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2354 +[2025-03-25 07:00:04,828 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5506 +[2025-03-25 07:00:04,867 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5515 +[2025-03-25 07:00:04,913 INFO hook.py line 748 195048] Test: [46/78] Loss 0.8864 +[2025-03-25 07:00:04,949 INFO hook.py line 748 195048] Test: [47/78] Loss 2.9217 +[2025-03-25 07:00:04,988 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6965 +[2025-03-25 07:00:05,024 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6054 +[2025-03-25 07:00:05,057 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2343 +[2025-03-25 07:00:05,083 INFO hook.py line 748 195048] Test: [51/78] Loss 1.2224 +[2025-03-25 07:00:05,122 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9228 +[2025-03-25 07:00:05,148 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3611 +[2025-03-25 07:00:05,183 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5784 +[2025-03-25 07:00:05,218 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0606 +[2025-03-25 07:00:05,253 INFO hook.py line 748 195048] Test: [56/78] Loss 0.3051 +[2025-03-25 07:00:05,282 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7759 +[2025-03-25 07:00:05,305 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6370 +[2025-03-25 07:00:05,340 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8450 +[2025-03-25 07:00:05,368 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6325 +[2025-03-25 07:00:05,388 INFO hook.py line 748 195048] Test: [61/78] Loss 0.6756 +[2025-03-25 07:00:05,417 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4416 +[2025-03-25 07:00:05,449 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3658 +[2025-03-25 07:00:05,499 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3784 +[2025-03-25 07:00:05,522 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9523 +[2025-03-25 07:00:05,559 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8301 +[2025-03-25 07:00:05,594 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4612 +[2025-03-25 07:00:05,623 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1500 +[2025-03-25 07:00:05,649 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3638 +[2025-03-25 07:00:05,701 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5106 +[2025-03-25 07:00:05,738 INFO hook.py line 748 195048] Test: [71/78] Loss 0.7574 +[2025-03-25 07:00:05,784 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3581 +[2025-03-25 07:00:05,828 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4296 +[2025-03-25 07:00:05,866 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3351 +[2025-03-25 07:00:05,912 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7584 +[2025-03-25 07:00:05,937 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7436 +[2025-03-25 07:00:05,986 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8094 +[2025-03-25 07:00:06,009 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6362 +[2025-03-25 07:00:07,050 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:00:07,050 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:00:07,050 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:00:07,050 INFO hook.py line 689 195048] wall : 0.8289 0.9274 +[2025-03-25 07:00:07,050 INFO hook.py line 689 195048] floor : 0.9564 0.9834 +[2025-03-25 07:00:07,050 INFO hook.py line 689 195048] cabinet : 0.6040 0.7321 +[2025-03-25 07:00:07,050 INFO hook.py line 689 195048] bed : 0.7585 0.8500 +[2025-03-25 07:00:07,050 INFO hook.py line 689 195048] chair : 0.8862 0.9449 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] sofa : 0.8256 0.9036 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] table : 0.6948 0.8006 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] door : 0.5967 0.7667 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] window : 0.5407 0.6866 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] bookshelf : 0.7640 0.8857 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] picture : 0.2748 0.3825 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] counter : 0.5405 0.6593 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] desk : 0.5804 0.7423 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] curtain : 0.6801 0.7681 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] refridgerator : 0.4662 0.5196 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] shower curtain : 0.6751 0.7549 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] toilet : 0.8809 0.9417 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] sink : 0.5958 0.6939 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] bathtub : 0.8565 0.9071 +[2025-03-25 07:00:07,051 INFO hook.py line 689 195048] otherfurniture : 0.5328 0.6249 +[2025-03-25 07:00:07,052 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:00:07,052 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6769/0.7738/0.8852. +[2025-03-25 07:00:07,052 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:00:07,065 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6769 +[2025-03-25 07:00:07,065 INFO misc.py line 164 195048] Currently Best mIoU: 0.6769 +[2025-03-25 07:00:07,066 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:00:20,580 INFO hook.py line 566 195048] Train: [92/100][50/400] Data 0.002 (0.003) Batch 0.200 (0.197) Remain 00:11:38 loss: 0.2841 Lr: 6.48291e-05 +[2025-03-25 07:00:30,744 INFO hook.py line 566 195048] Train: [92/100][100/400] Data 0.004 (0.003) Batch 0.335 (0.200) Remain 00:11:40 loss: 0.0571 Lr: 6.30423e-05 +[2025-03-25 07:00:40,575 INFO hook.py line 566 195048] Train: [92/100][150/400] Data 0.002 (0.003) Batch 0.178 (0.199) Remain 00:11:26 loss: 0.1056 Lr: 6.12802e-05 +[2025-03-25 07:00:50,526 INFO hook.py line 566 195048] Train: [92/100][200/400] Data 0.003 (0.003) Batch 0.179 (0.199) Remain 00:11:16 loss: 0.1741 Lr: 5.95426e-05 +[2025-03-25 07:01:00,494 INFO hook.py line 566 195048] Train: [92/100][250/400] Data 0.003 (0.003) Batch 0.188 (0.199) Remain 00:11:06 loss: 0.3243 Lr: 5.78296e-05 +[2025-03-25 07:01:10,442 INFO hook.py line 566 195048] Train: [92/100][300/400] Data 0.002 (0.003) Batch 0.193 (0.199) Remain 00:10:56 loss: 0.0363 Lr: 5.61413e-05 +[2025-03-25 07:01:20,262 INFO hook.py line 566 195048] Train: [92/100][350/400] Data 0.003 (0.003) Batch 0.176 (0.199) Remain 00:10:45 loss: 0.2767 Lr: 5.44776e-05 +[2025-03-25 07:01:29,134 INFO hook.py line 566 195048] Train: [92/100][400/400] Data 0.001 (0.003) Batch 0.157 (0.196) Remain 00:10:27 loss: 0.1361 Lr: 5.28712e-05 +[2025-03-25 07:01:29,134 INFO misc.py line 135 195048] Train result: loss: 0.1635 +[2025-03-25 07:01:29,206 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:01:39,599 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1766 +[2025-03-25 07:01:39,841 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6526 +[2025-03-25 07:01:39,874 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4182 +[2025-03-25 07:01:40,236 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6341 +[2025-03-25 07:01:40,271 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3655 +[2025-03-25 07:01:40,327 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8195 +[2025-03-25 07:01:40,373 INFO hook.py line 748 195048] Test: [7/78] Loss 0.6021 +[2025-03-25 07:01:40,397 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3411 +[2025-03-25 07:01:40,447 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0377 +[2025-03-25 07:01:40,491 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5954 +[2025-03-25 07:01:40,533 INFO hook.py line 748 195048] Test: [11/78] Loss 0.6949 +[2025-03-25 07:01:40,564 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3152 +[2025-03-25 07:01:40,608 INFO hook.py line 748 195048] Test: [13/78] Loss 2.7553 +[2025-03-25 07:01:40,643 INFO hook.py line 748 195048] Test: [14/78] Loss 2.4833 +[2025-03-25 07:01:40,675 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8399 +[2025-03-25 07:01:40,716 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1306 +[2025-03-25 07:01:40,752 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6164 +[2025-03-25 07:01:40,782 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8063 +[2025-03-25 07:01:40,821 INFO hook.py line 748 195048] Test: [19/78] Loss 1.0468 +[2025-03-25 07:01:40,850 INFO hook.py line 748 195048] Test: [20/78] Loss 1.3965 +[2025-03-25 07:01:40,882 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2872 +[2025-03-25 07:01:40,919 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7209 +[2025-03-25 07:01:40,946 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8030 +[2025-03-25 07:01:40,986 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0727 +[2025-03-25 07:01:41,023 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9095 +[2025-03-25 07:01:41,060 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5028 +[2025-03-25 07:01:41,105 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4014 +[2025-03-25 07:01:41,134 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4433 +[2025-03-25 07:01:41,159 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3064 +[2025-03-25 07:01:41,210 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5751 +[2025-03-25 07:01:41,265 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4979 +[2025-03-25 07:01:41,296 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6109 +[2025-03-25 07:01:41,347 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2789 +[2025-03-25 07:01:41,384 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1445 +[2025-03-25 07:01:41,421 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4266 +[2025-03-25 07:01:41,454 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4094 +[2025-03-25 07:01:41,496 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5464 +[2025-03-25 07:01:41,522 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2937 +[2025-03-25 07:01:41,576 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4880 +[2025-03-25 07:01:41,619 INFO hook.py line 748 195048] Test: [40/78] Loss 1.9894 +[2025-03-25 07:01:41,657 INFO hook.py line 748 195048] Test: [41/78] Loss 1.3251 +[2025-03-25 07:01:41,680 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2262 +[2025-03-25 07:01:41,712 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2513 +[2025-03-25 07:01:41,768 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5432 +[2025-03-25 07:01:41,797 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6007 +[2025-03-25 07:01:41,839 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9094 +[2025-03-25 07:01:41,873 INFO hook.py line 748 195048] Test: [47/78] Loss 3.0313 +[2025-03-25 07:01:41,904 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7365 +[2025-03-25 07:01:41,938 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7215 +[2025-03-25 07:01:41,971 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2575 +[2025-03-25 07:01:42,004 INFO hook.py line 748 195048] Test: [51/78] Loss 0.9574 +[2025-03-25 07:01:42,037 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9270 +[2025-03-25 07:01:42,068 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3442 +[2025-03-25 07:01:42,104 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5951 +[2025-03-25 07:01:42,140 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0713 +[2025-03-25 07:01:42,176 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2945 +[2025-03-25 07:01:42,205 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7766 +[2025-03-25 07:01:42,227 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6093 +[2025-03-25 07:01:42,262 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8747 +[2025-03-25 07:01:42,290 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5974 +[2025-03-25 07:01:42,311 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7551 +[2025-03-25 07:01:42,339 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4419 +[2025-03-25 07:01:42,371 INFO hook.py line 748 195048] Test: [63/78] Loss 1.4439 +[2025-03-25 07:01:42,421 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3728 +[2025-03-25 07:01:42,445 INFO hook.py line 748 195048] Test: [65/78] Loss 0.8762 +[2025-03-25 07:01:42,484 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8302 +[2025-03-25 07:01:42,518 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4913 +[2025-03-25 07:01:42,546 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1425 +[2025-03-25 07:01:42,572 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3461 +[2025-03-25 07:01:42,624 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5452 +[2025-03-25 07:01:42,662 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8324 +[2025-03-25 07:01:42,707 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3501 +[2025-03-25 07:01:42,750 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4190 +[2025-03-25 07:01:42,788 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3253 +[2025-03-25 07:01:42,834 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7381 +[2025-03-25 07:01:42,859 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7635 +[2025-03-25 07:01:42,908 INFO hook.py line 748 195048] Test: [77/78] Loss 0.8185 +[2025-03-25 07:01:42,931 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6419 +[2025-03-25 07:01:43,945 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:01:43,945 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:01:43,945 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:01:43,945 INFO hook.py line 689 195048] wall : 0.8270 0.9311 +[2025-03-25 07:01:43,945 INFO hook.py line 689 195048] floor : 0.9568 0.9831 +[2025-03-25 07:01:43,945 INFO hook.py line 689 195048] cabinet : 0.6014 0.7294 +[2025-03-25 07:01:43,945 INFO hook.py line 689 195048] bed : 0.7599 0.8474 +[2025-03-25 07:01:43,945 INFO hook.py line 689 195048] chair : 0.8855 0.9440 +[2025-03-25 07:01:43,945 INFO hook.py line 689 195048] sofa : 0.8179 0.9014 +[2025-03-25 07:01:43,945 INFO hook.py line 689 195048] table : 0.7008 0.8113 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] door : 0.5994 0.7510 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] window : 0.5363 0.6683 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] bookshelf : 0.7658 0.8741 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] picture : 0.2734 0.3838 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] counter : 0.5389 0.6536 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] desk : 0.5737 0.7124 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] curtain : 0.6866 0.7898 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] refridgerator : 0.4575 0.5056 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] shower curtain : 0.6817 0.7541 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] toilet : 0.8804 0.9435 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] sink : 0.6046 0.7090 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] bathtub : 0.8496 0.9117 +[2025-03-25 07:01:43,946 INFO hook.py line 689 195048] otherfurniture : 0.5362 0.6391 +[2025-03-25 07:01:43,946 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:01:43,946 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6767/0.7722/0.8851. +[2025-03-25 07:01:43,946 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:01:43,955 INFO misc.py line 164 195048] Currently Best mIoU: 0.6769 +[2025-03-25 07:01:43,955 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:01:57,048 INFO hook.py line 566 195048] Train: [93/100][50/400] Data 0.002 (0.003) Batch 0.188 (0.200) Remain 00:10:28 loss: 0.3114 Lr: 5.12565e-05 +[2025-03-25 07:02:06,825 INFO hook.py line 566 195048] Train: [93/100][100/400] Data 0.004 (0.003) Batch 0.202 (0.198) Remain 00:10:12 loss: 0.2117 Lr: 4.96665e-05 +[2025-03-25 07:02:16,818 INFO hook.py line 566 195048] Train: [93/100][150/400] Data 0.002 (0.003) Batch 0.202 (0.198) Remain 00:10:04 loss: 0.1163 Lr: 4.81014e-05 +[2025-03-25 07:02:26,664 INFO hook.py line 566 195048] Train: [93/100][200/400] Data 0.002 (0.003) Batch 0.203 (0.198) Remain 00:09:53 loss: 0.2377 Lr: 4.65610e-05 +[2025-03-25 07:02:36,480 INFO hook.py line 566 195048] Train: [93/100][250/400] Data 0.002 (0.003) Batch 0.172 (0.198) Remain 00:09:43 loss: 0.0259 Lr: 4.50455e-05 +[2025-03-25 07:02:46,747 INFO hook.py line 566 195048] Train: [93/100][300/400] Data 0.002 (0.003) Batch 0.171 (0.199) Remain 00:09:36 loss: 0.0215 Lr: 4.35548e-05 +[2025-03-25 07:02:56,620 INFO hook.py line 566 195048] Train: [93/100][350/400] Data 0.002 (0.003) Batch 0.183 (0.199) Remain 00:09:26 loss: 0.2468 Lr: 4.20891e-05 +[2025-03-25 07:03:05,495 INFO hook.py line 566 195048] Train: [93/100][400/400] Data 0.001 (0.003) Batch 0.136 (0.196) Remain 00:09:08 loss: 0.4121 Lr: 4.06482e-05 +[2025-03-25 07:03:05,496 INFO misc.py line 135 195048] Train result: loss: 0.1663 +[2025-03-25 07:03:05,573 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:03:15,916 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1958 +[2025-03-25 07:03:16,072 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6765 +[2025-03-25 07:03:16,104 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4485 +[2025-03-25 07:03:16,337 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6135 +[2025-03-25 07:03:16,376 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3607 +[2025-03-25 07:03:16,809 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8227 +[2025-03-25 07:03:16,858 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5559 +[2025-03-25 07:03:16,895 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3415 +[2025-03-25 07:03:16,937 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0323 +[2025-03-25 07:03:16,968 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5885 +[2025-03-25 07:03:17,009 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7247 +[2025-03-25 07:03:17,050 INFO hook.py line 748 195048] Test: [12/78] Loss 1.2930 +[2025-03-25 07:03:17,092 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6905 +[2025-03-25 07:03:17,127 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5713 +[2025-03-25 07:03:17,159 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9163 +[2025-03-25 07:03:17,202 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1297 +[2025-03-25 07:03:17,238 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6418 +[2025-03-25 07:03:17,268 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8090 +[2025-03-25 07:03:17,310 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9774 +[2025-03-25 07:03:17,341 INFO hook.py line 748 195048] Test: [20/78] Loss 1.5025 +[2025-03-25 07:03:17,379 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2699 +[2025-03-25 07:03:17,415 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7079 +[2025-03-25 07:03:17,443 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8167 +[2025-03-25 07:03:17,482 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0942 +[2025-03-25 07:03:17,520 INFO hook.py line 748 195048] Test: [25/78] Loss 1.0280 +[2025-03-25 07:03:17,559 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5059 +[2025-03-25 07:03:17,603 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3345 +[2025-03-25 07:03:17,631 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4636 +[2025-03-25 07:03:17,659 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3115 +[2025-03-25 07:03:17,707 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5865 +[2025-03-25 07:03:17,761 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5077 +[2025-03-25 07:03:17,800 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6230 +[2025-03-25 07:03:17,847 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2634 +[2025-03-25 07:03:17,884 INFO hook.py line 748 195048] Test: [34/78] Loss 1.2414 +[2025-03-25 07:03:17,921 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4184 +[2025-03-25 07:03:17,963 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3467 +[2025-03-25 07:03:17,996 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5694 +[2025-03-25 07:03:18,026 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3047 +[2025-03-25 07:03:18,079 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5468 +[2025-03-25 07:03:18,122 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0130 +[2025-03-25 07:03:18,160 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2677 +[2025-03-25 07:03:18,182 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2378 +[2025-03-25 07:03:18,218 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2604 +[2025-03-25 07:03:18,280 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5778 +[2025-03-25 07:03:18,311 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6214 +[2025-03-25 07:03:18,353 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9047 +[2025-03-25 07:03:18,386 INFO hook.py line 748 195048] Test: [47/78] Loss 3.1722 +[2025-03-25 07:03:18,418 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7215 +[2025-03-25 07:03:18,451 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6246 +[2025-03-25 07:03:18,482 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2220 +[2025-03-25 07:03:18,510 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1763 +[2025-03-25 07:03:18,545 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9443 +[2025-03-25 07:03:18,572 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3390 +[2025-03-25 07:03:18,609 INFO hook.py line 748 195048] Test: [54/78] Loss 2.5784 +[2025-03-25 07:03:18,644 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0532 +[2025-03-25 07:03:18,679 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2843 +[2025-03-25 07:03:18,707 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7611 +[2025-03-25 07:03:18,730 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6010 +[2025-03-25 07:03:18,765 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8782 +[2025-03-25 07:03:18,793 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6184 +[2025-03-25 07:03:18,813 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7668 +[2025-03-25 07:03:18,842 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4475 +[2025-03-25 07:03:18,874 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3212 +[2025-03-25 07:03:18,924 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3465 +[2025-03-25 07:03:18,947 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9192 +[2025-03-25 07:03:18,984 INFO hook.py line 748 195048] Test: [66/78] Loss 0.7941 +[2025-03-25 07:03:19,018 INFO hook.py line 748 195048] Test: [67/78] Loss 0.5090 +[2025-03-25 07:03:19,047 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1420 +[2025-03-25 07:03:19,073 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3447 +[2025-03-25 07:03:19,126 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5452 +[2025-03-25 07:03:19,163 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8861 +[2025-03-25 07:03:19,209 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3673 +[2025-03-25 07:03:19,252 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4070 +[2025-03-25 07:03:19,289 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3410 +[2025-03-25 07:03:19,336 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7593 +[2025-03-25 07:03:19,361 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8041 +[2025-03-25 07:03:19,410 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6482 +[2025-03-25 07:03:19,433 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6652 +[2025-03-25 07:03:20,451 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:03:20,451 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:03:20,452 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] wall : 0.8275 0.9384 +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] floor : 0.9570 0.9829 +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] cabinet : 0.6039 0.7293 +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] bed : 0.7628 0.8523 +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] chair : 0.8841 0.9455 +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] sofa : 0.8230 0.9082 +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] table : 0.6989 0.7895 +[2025-03-25 07:03:20,452 INFO hook.py line 689 195048] door : 0.5970 0.7259 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] window : 0.5354 0.6678 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] bookshelf : 0.7684 0.8782 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] picture : 0.2688 0.3559 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] counter : 0.5371 0.6499 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] desk : 0.5780 0.7442 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] curtain : 0.6745 0.7754 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] refridgerator : 0.4624 0.5055 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] shower curtain : 0.6625 0.7333 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] toilet : 0.8759 0.9415 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] sink : 0.5983 0.7029 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] bathtub : 0.8540 0.9086 +[2025-03-25 07:03:20,453 INFO hook.py line 689 195048] otherfurniture : 0.5319 0.6301 +[2025-03-25 07:03:20,454 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:03:20,454 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6751/0.7683/0.8854. +[2025-03-25 07:03:20,454 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:03:20,467 INFO misc.py line 164 195048] Currently Best mIoU: 0.6769 +[2025-03-25 07:03:20,467 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:03:33,580 INFO hook.py line 566 195048] Train: [94/100][50/400] Data 0.002 (0.003) Batch 0.213 (0.211) Remain 00:09:41 loss: 0.0518 Lr: 3.92323e-05 +[2025-03-25 07:03:43,302 INFO hook.py line 566 195048] Train: [94/100][100/400] Data 0.004 (0.003) Batch 0.201 (0.203) Remain 00:09:07 loss: 0.1943 Lr: 3.78413e-05 +[2025-03-25 07:03:53,242 INFO hook.py line 566 195048] Train: [94/100][150/400] Data 0.004 (0.003) Batch 0.195 (0.201) Remain 00:08:53 loss: 0.1754 Lr: 3.64754e-05 +[2025-03-25 07:04:03,121 INFO hook.py line 566 195048] Train: [94/100][200/400] Data 0.003 (0.003) Batch 0.201 (0.200) Remain 00:08:40 loss: 0.1148 Lr: 3.51344e-05 +[2025-03-25 07:04:13,003 INFO hook.py line 566 195048] Train: [94/100][250/400] Data 0.003 (0.003) Batch 0.179 (0.200) Remain 00:08:29 loss: 0.1052 Lr: 3.38185e-05 +[2025-03-25 07:04:22,961 INFO hook.py line 566 195048] Train: [94/100][300/400] Data 0.003 (0.003) Batch 0.188 (0.200) Remain 00:08:19 loss: 0.1772 Lr: 3.25276e-05 +[2025-03-25 07:04:32,772 INFO hook.py line 566 195048] Train: [94/100][350/400] Data 0.004 (0.003) Batch 0.195 (0.199) Remain 00:08:08 loss: 0.0729 Lr: 3.12618e-05 +[2025-03-25 07:04:41,790 INFO hook.py line 566 195048] Train: [94/100][400/400] Data 0.001 (0.003) Batch 0.161 (0.197) Remain 00:07:52 loss: 0.1930 Lr: 3.00211e-05 +[2025-03-25 07:04:41,791 INFO misc.py line 135 195048] Train result: loss: 0.1594 +[2025-03-25 07:04:41,878 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:04:52,161 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1904 +[2025-03-25 07:04:52,437 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6511 +[2025-03-25 07:04:52,706 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4103 +[2025-03-25 07:04:52,755 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6306 +[2025-03-25 07:04:53,030 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3646 +[2025-03-25 07:04:53,080 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8437 +[2025-03-25 07:04:53,128 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5820 +[2025-03-25 07:04:53,158 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3277 +[2025-03-25 07:04:53,199 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0513 +[2025-03-25 07:04:53,314 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5976 +[2025-03-25 07:04:53,354 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7148 +[2025-03-25 07:04:53,383 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3179 +[2025-03-25 07:04:53,426 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6908 +[2025-03-25 07:04:53,461 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5656 +[2025-03-25 07:04:53,493 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9121 +[2025-03-25 07:04:53,535 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1426 +[2025-03-25 07:04:53,571 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5940 +[2025-03-25 07:04:53,600 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7811 +[2025-03-25 07:04:53,646 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9182 +[2025-03-25 07:04:53,675 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4805 +[2025-03-25 07:04:53,706 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2598 +[2025-03-25 07:04:53,743 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7152 +[2025-03-25 07:04:53,770 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7976 +[2025-03-25 07:04:53,810 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1067 +[2025-03-25 07:04:53,846 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9043 +[2025-03-25 07:04:53,884 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5471 +[2025-03-25 07:04:53,932 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3665 +[2025-03-25 07:04:53,960 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4598 +[2025-03-25 07:04:53,987 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3106 +[2025-03-25 07:04:54,037 INFO hook.py line 748 195048] Test: [30/78] Loss 0.6015 +[2025-03-25 07:04:54,095 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5076 +[2025-03-25 07:04:54,127 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6210 +[2025-03-25 07:04:54,179 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2675 +[2025-03-25 07:04:54,216 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1447 +[2025-03-25 07:04:54,253 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4222 +[2025-03-25 07:04:54,285 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3872 +[2025-03-25 07:04:54,319 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5606 +[2025-03-25 07:04:54,349 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3095 +[2025-03-25 07:04:54,403 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5019 +[2025-03-25 07:04:54,445 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0017 +[2025-03-25 07:04:54,483 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2672 +[2025-03-25 07:04:54,506 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2340 +[2025-03-25 07:04:54,546 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2664 +[2025-03-25 07:04:54,599 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5560 +[2025-03-25 07:04:54,627 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6255 +[2025-03-25 07:04:54,669 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9359 +[2025-03-25 07:04:54,704 INFO hook.py line 748 195048] Test: [47/78] Loss 3.1568 +[2025-03-25 07:04:54,737 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7172 +[2025-03-25 07:04:54,769 INFO hook.py line 748 195048] Test: [49/78] Loss 1.6835 +[2025-03-25 07:04:54,800 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2052 +[2025-03-25 07:04:54,826 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0558 +[2025-03-25 07:04:54,863 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9400 +[2025-03-25 07:04:54,894 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3557 +[2025-03-25 07:04:54,931 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6708 +[2025-03-25 07:04:54,968 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0593 +[2025-03-25 07:04:55,003 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2890 +[2025-03-25 07:04:55,033 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7520 +[2025-03-25 07:04:55,057 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6044 +[2025-03-25 07:04:55,091 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8607 +[2025-03-25 07:04:55,120 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6113 +[2025-03-25 07:04:55,140 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7591 +[2025-03-25 07:04:55,169 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4501 +[2025-03-25 07:04:55,201 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3186 +[2025-03-25 07:04:55,251 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3601 +[2025-03-25 07:04:55,274 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9288 +[2025-03-25 07:04:55,312 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8300 +[2025-03-25 07:04:55,346 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4744 +[2025-03-25 07:04:55,375 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1593 +[2025-03-25 07:04:55,401 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3451 +[2025-03-25 07:04:55,453 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5509 +[2025-03-25 07:04:55,491 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8995 +[2025-03-25 07:04:55,536 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3507 +[2025-03-25 07:04:55,580 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3844 +[2025-03-25 07:04:55,617 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3695 +[2025-03-25 07:04:55,663 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7307 +[2025-03-25 07:04:55,688 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7807 +[2025-03-25 07:04:55,737 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7261 +[2025-03-25 07:04:55,760 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6595 +[2025-03-25 07:04:56,793 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:04:56,794 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:04:56,794 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:04:56,794 INFO hook.py line 689 195048] wall : 0.8289 0.9365 +[2025-03-25 07:04:56,794 INFO hook.py line 689 195048] floor : 0.9565 0.9837 +[2025-03-25 07:04:56,794 INFO hook.py line 689 195048] cabinet : 0.6053 0.7359 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] bed : 0.7570 0.8487 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] chair : 0.8859 0.9435 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] sofa : 0.8245 0.9027 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] table : 0.7023 0.8060 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] door : 0.5977 0.7307 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] window : 0.5366 0.6644 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] bookshelf : 0.7598 0.8834 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] picture : 0.2711 0.3649 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] counter : 0.5299 0.6426 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] desk : 0.5751 0.7389 +[2025-03-25 07:04:56,795 INFO hook.py line 689 195048] curtain : 0.6761 0.7858 +[2025-03-25 07:04:56,796 INFO hook.py line 689 195048] refridgerator : 0.4508 0.4893 +[2025-03-25 07:04:56,796 INFO hook.py line 689 195048] shower curtain : 0.6627 0.7316 +[2025-03-25 07:04:56,796 INFO hook.py line 689 195048] toilet : 0.8775 0.9440 +[2025-03-25 07:04:56,796 INFO hook.py line 689 195048] sink : 0.6020 0.7034 +[2025-03-25 07:04:56,796 INFO hook.py line 689 195048] bathtub : 0.8562 0.9058 +[2025-03-25 07:04:56,796 INFO hook.py line 689 195048] otherfurniture : 0.5349 0.6250 +[2025-03-25 07:04:56,796 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:04:56,796 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6745/0.7683/0.8856. +[2025-03-25 07:04:56,797 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:04:56,811 INFO misc.py line 164 195048] Currently Best mIoU: 0.6769 +[2025-03-25 07:04:56,812 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:05:09,828 INFO hook.py line 566 195048] Train: [95/100][50/400] Data 0.002 (0.003) Batch 0.218 (0.203) Remain 00:07:57 loss: 0.2426 Lr: 2.88056e-05 +[2025-03-25 07:05:19,981 INFO hook.py line 566 195048] Train: [95/100][100/400] Data 0.003 (0.003) Batch 0.201 (0.203) Remain 00:07:47 loss: 0.2103 Lr: 2.76151e-05 +[2025-03-25 07:05:29,959 INFO hook.py line 566 195048] Train: [95/100][150/400] Data 0.002 (0.003) Batch 0.205 (0.202) Remain 00:07:34 loss: 0.0303 Lr: 2.64499e-05 +[2025-03-25 07:05:39,870 INFO hook.py line 566 195048] Train: [95/100][200/400] Data 0.003 (0.003) Batch 0.197 (0.201) Remain 00:07:22 loss: 0.0966 Lr: 2.53098e-05 +[2025-03-25 07:05:49,480 INFO hook.py line 566 195048] Train: [95/100][250/400] Data 0.002 (0.003) Batch 0.193 (0.199) Remain 00:07:08 loss: 0.2077 Lr: 2.41949e-05 +[2025-03-25 07:05:59,369 INFO hook.py line 566 195048] Train: [95/100][300/400] Data 0.003 (0.003) Batch 0.199 (0.199) Remain 00:06:57 loss: 0.0457 Lr: 2.31052e-05 +[2025-03-25 07:06:09,432 INFO hook.py line 566 195048] Train: [95/100][350/400] Data 0.003 (0.003) Batch 0.210 (0.199) Remain 00:06:48 loss: 0.2614 Lr: 2.20408e-05 +[2025-03-25 07:06:18,426 INFO hook.py line 566 195048] Train: [95/100][400/400] Data 0.001 (0.003) Batch 0.153 (0.197) Remain 00:06:33 loss: 0.0451 Lr: 2.10016e-05 +[2025-03-25 07:06:18,427 INFO misc.py line 135 195048] Train result: loss: 0.1633 +[2025-03-25 07:06:18,516 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:06:28,871 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1932 +[2025-03-25 07:06:28,918 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6684 +[2025-03-25 07:06:28,958 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4411 +[2025-03-25 07:06:29,001 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6421 +[2025-03-25 07:06:29,248 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3694 +[2025-03-25 07:06:29,303 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8055 +[2025-03-25 07:06:29,350 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5702 +[2025-03-25 07:06:29,384 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3428 +[2025-03-25 07:06:29,505 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0561 +[2025-03-25 07:06:29,533 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6135 +[2025-03-25 07:06:29,574 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7392 +[2025-03-25 07:06:29,671 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3361 +[2025-03-25 07:06:29,714 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6160 +[2025-03-25 07:06:29,748 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5987 +[2025-03-25 07:06:29,782 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8206 +[2025-03-25 07:06:29,822 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1304 +[2025-03-25 07:06:29,860 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6145 +[2025-03-25 07:06:29,888 INFO hook.py line 748 195048] Test: [18/78] Loss 0.8039 +[2025-03-25 07:06:29,928 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9208 +[2025-03-25 07:06:29,956 INFO hook.py line 748 195048] Test: [20/78] Loss 1.5240 +[2025-03-25 07:06:29,988 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2905 +[2025-03-25 07:06:30,024 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7130 +[2025-03-25 07:06:30,048 INFO hook.py line 748 195048] Test: [23/78] Loss 0.7852 +[2025-03-25 07:06:30,087 INFO hook.py line 748 195048] Test: [24/78] Loss 1.1011 +[2025-03-25 07:06:30,130 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9359 +[2025-03-25 07:06:30,168 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5186 +[2025-03-25 07:06:30,220 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3958 +[2025-03-25 07:06:30,250 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4493 +[2025-03-25 07:06:30,274 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3026 +[2025-03-25 07:06:30,323 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5633 +[2025-03-25 07:06:30,377 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5043 +[2025-03-25 07:06:30,408 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6452 +[2025-03-25 07:06:30,455 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2632 +[2025-03-25 07:06:30,492 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1645 +[2025-03-25 07:06:30,528 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4087 +[2025-03-25 07:06:30,569 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3909 +[2025-03-25 07:06:30,602 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5512 +[2025-03-25 07:06:30,631 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2949 +[2025-03-25 07:06:30,692 INFO hook.py line 748 195048] Test: [39/78] Loss 1.5010 +[2025-03-25 07:06:30,734 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0306 +[2025-03-25 07:06:30,772 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2424 +[2025-03-25 07:06:30,804 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2408 +[2025-03-25 07:06:30,841 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2470 +[2025-03-25 07:06:30,892 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5661 +[2025-03-25 07:06:30,920 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6572 +[2025-03-25 07:06:30,962 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9385 +[2025-03-25 07:06:30,999 INFO hook.py line 748 195048] Test: [47/78] Loss 3.1270 +[2025-03-25 07:06:31,031 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7067 +[2025-03-25 07:06:31,065 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7034 +[2025-03-25 07:06:31,097 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2131 +[2025-03-25 07:06:31,127 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1186 +[2025-03-25 07:06:31,161 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9276 +[2025-03-25 07:06:31,189 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3364 +[2025-03-25 07:06:31,229 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6182 +[2025-03-25 07:06:31,263 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0566 +[2025-03-25 07:06:31,298 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2846 +[2025-03-25 07:06:31,327 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7917 +[2025-03-25 07:06:31,350 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6008 +[2025-03-25 07:06:31,385 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8535 +[2025-03-25 07:06:31,413 INFO hook.py line 748 195048] Test: [60/78] Loss 0.5869 +[2025-03-25 07:06:31,433 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7431 +[2025-03-25 07:06:31,462 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4503 +[2025-03-25 07:06:31,493 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3267 +[2025-03-25 07:06:31,544 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3360 +[2025-03-25 07:06:31,567 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9213 +[2025-03-25 07:06:31,604 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8744 +[2025-03-25 07:06:31,638 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4934 +[2025-03-25 07:06:31,667 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1528 +[2025-03-25 07:06:31,693 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3518 +[2025-03-25 07:06:31,746 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5380 +[2025-03-25 07:06:31,784 INFO hook.py line 748 195048] Test: [71/78] Loss 0.9048 +[2025-03-25 07:06:31,829 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3645 +[2025-03-25 07:06:31,873 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4047 +[2025-03-25 07:06:31,910 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3309 +[2025-03-25 07:06:31,956 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7409 +[2025-03-25 07:06:31,981 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7254 +[2025-03-25 07:06:32,030 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7027 +[2025-03-25 07:06:32,053 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6854 +[2025-03-25 07:06:32,994 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:06:32,994 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:06:32,994 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:06:32,994 INFO hook.py line 689 195048] wall : 0.8295 0.9347 +[2025-03-25 07:06:32,994 INFO hook.py line 689 195048] floor : 0.9567 0.9834 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] cabinet : 0.6057 0.7364 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] bed : 0.7614 0.8491 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] chair : 0.8829 0.9437 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] sofa : 0.8172 0.9071 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] table : 0.6982 0.7954 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] door : 0.6016 0.7357 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] window : 0.5361 0.6698 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] bookshelf : 0.7580 0.8801 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] picture : 0.2744 0.3748 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] counter : 0.5381 0.6578 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] desk : 0.5768 0.7383 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] curtain : 0.6792 0.7952 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] refridgerator : 0.4495 0.4929 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] shower curtain : 0.6670 0.7417 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] toilet : 0.8770 0.9449 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] sink : 0.6037 0.7101 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] bathtub : 0.8546 0.9095 +[2025-03-25 07:06:32,995 INFO hook.py line 689 195048] otherfurniture : 0.5356 0.6282 +[2025-03-25 07:06:32,995 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:06:32,995 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6752/0.7714/0.8855. +[2025-03-25 07:06:32,995 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:06:33,008 INFO misc.py line 164 195048] Currently Best mIoU: 0.6769 +[2025-03-25 07:06:33,009 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:06:46,158 INFO hook.py line 566 195048] Train: [96/100][50/400] Data 0.002 (0.003) Batch 0.188 (0.206) Remain 00:06:40 loss: 0.0622 Lr: 1.99877e-05 +[2025-03-25 07:06:56,239 INFO hook.py line 566 195048] Train: [96/100][100/400] Data 0.003 (0.003) Batch 0.193 (0.204) Remain 00:06:26 loss: 0.2420 Lr: 1.89991e-05 +[2025-03-25 07:07:06,061 INFO hook.py line 566 195048] Train: [96/100][150/400] Data 0.004 (0.003) Batch 0.202 (0.201) Remain 00:06:12 loss: 0.0692 Lr: 1.80358e-05 +[2025-03-25 07:07:16,125 INFO hook.py line 566 195048] Train: [96/100][200/400] Data 0.002 (0.003) Batch 0.223 (0.201) Remain 00:06:02 loss: 0.1683 Lr: 1.70979e-05 +[2025-03-25 07:07:26,200 INFO hook.py line 566 195048] Train: [96/100][250/400] Data 0.003 (0.003) Batch 0.203 (0.201) Remain 00:05:52 loss: 0.0073 Lr: 1.61853e-05 +[2025-03-25 07:07:36,061 INFO hook.py line 566 195048] Train: [96/100][300/400] Data 0.002 (0.003) Batch 0.184 (0.201) Remain 00:05:40 loss: 0.0324 Lr: 1.52980e-05 +[2025-03-25 07:07:45,947 INFO hook.py line 566 195048] Train: [96/100][350/400] Data 0.002 (0.003) Batch 0.190 (0.200) Remain 00:05:30 loss: 0.0764 Lr: 1.44361e-05 +[2025-03-25 07:07:54,851 INFO hook.py line 566 195048] Train: [96/100][400/400] Data 0.001 (0.003) Batch 0.144 (0.197) Remain 00:05:15 loss: 0.1316 Lr: 1.35996e-05 +[2025-03-25 07:07:54,852 INFO misc.py line 135 195048] Train result: loss: 0.1559 +[2025-03-25 07:07:54,940 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:08:05,332 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1998 +[2025-03-25 07:08:05,370 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6433 +[2025-03-25 07:08:05,408 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3617 +[2025-03-25 07:08:05,454 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6271 +[2025-03-25 07:08:05,593 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3507 +[2025-03-25 07:08:05,644 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7832 +[2025-03-25 07:08:05,882 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5799 +[2025-03-25 07:08:05,914 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3359 +[2025-03-25 07:08:06,117 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0532 +[2025-03-25 07:08:06,146 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6153 +[2025-03-25 07:08:06,391 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7443 +[2025-03-25 07:08:06,422 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3103 +[2025-03-25 07:08:06,468 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5296 +[2025-03-25 07:08:06,502 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6220 +[2025-03-25 07:08:06,534 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8467 +[2025-03-25 07:08:06,576 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1337 +[2025-03-25 07:08:06,611 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6125 +[2025-03-25 07:08:06,646 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7990 +[2025-03-25 07:08:06,684 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9156 +[2025-03-25 07:08:06,713 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4759 +[2025-03-25 07:08:06,744 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2603 +[2025-03-25 07:08:06,781 INFO hook.py line 748 195048] Test: [22/78] Loss 1.7053 +[2025-03-25 07:08:06,808 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8165 +[2025-03-25 07:08:06,847 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0689 +[2025-03-25 07:08:06,887 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9677 +[2025-03-25 07:08:06,923 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5181 +[2025-03-25 07:08:06,969 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3952 +[2025-03-25 07:08:06,998 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4714 +[2025-03-25 07:08:07,027 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3089 +[2025-03-25 07:08:07,077 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5668 +[2025-03-25 07:08:07,133 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5026 +[2025-03-25 07:08:07,164 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6108 +[2025-03-25 07:08:07,212 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2708 +[2025-03-25 07:08:07,247 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1277 +[2025-03-25 07:08:07,284 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4363 +[2025-03-25 07:08:07,325 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4031 +[2025-03-25 07:08:07,361 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5403 +[2025-03-25 07:08:07,388 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2937 +[2025-03-25 07:08:07,443 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4900 +[2025-03-25 07:08:07,484 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0415 +[2025-03-25 07:08:07,525 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2761 +[2025-03-25 07:08:07,550 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2479 +[2025-03-25 07:08:07,582 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2666 +[2025-03-25 07:08:07,633 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5454 +[2025-03-25 07:08:07,663 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5983 +[2025-03-25 07:08:07,705 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9297 +[2025-03-25 07:08:07,741 INFO hook.py line 748 195048] Test: [47/78] Loss 3.0441 +[2025-03-25 07:08:07,774 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6823 +[2025-03-25 07:08:07,805 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7304 +[2025-03-25 07:08:07,839 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2282 +[2025-03-25 07:08:07,874 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1368 +[2025-03-25 07:08:07,908 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9302 +[2025-03-25 07:08:07,939 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3603 +[2025-03-25 07:08:07,976 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6274 +[2025-03-25 07:08:08,010 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0565 +[2025-03-25 07:08:08,046 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2844 +[2025-03-25 07:08:08,075 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7733 +[2025-03-25 07:08:08,098 INFO hook.py line 748 195048] Test: [58/78] Loss 0.6348 +[2025-03-25 07:08:08,132 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8424 +[2025-03-25 07:08:08,161 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6213 +[2025-03-25 07:08:08,181 INFO hook.py line 748 195048] Test: [61/78] Loss 0.8009 +[2025-03-25 07:08:08,209 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4366 +[2025-03-25 07:08:08,241 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3338 +[2025-03-25 07:08:08,291 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3696 +[2025-03-25 07:08:08,315 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9471 +[2025-03-25 07:08:08,352 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8179 +[2025-03-25 07:08:08,386 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4875 +[2025-03-25 07:08:08,414 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1357 +[2025-03-25 07:08:08,440 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3526 +[2025-03-25 07:08:08,492 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5418 +[2025-03-25 07:08:08,530 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8653 +[2025-03-25 07:08:08,575 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3573 +[2025-03-25 07:08:08,619 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4070 +[2025-03-25 07:08:08,656 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3512 +[2025-03-25 07:08:08,702 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7462 +[2025-03-25 07:08:08,727 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7854 +[2025-03-25 07:08:08,777 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7367 +[2025-03-25 07:08:08,799 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6648 +[2025-03-25 07:08:09,850 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:08:09,851 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:08:09,851 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:08:09,851 INFO hook.py line 689 195048] wall : 0.8300 0.9357 +[2025-03-25 07:08:09,851 INFO hook.py line 689 195048] floor : 0.9570 0.9833 +[2025-03-25 07:08:09,851 INFO hook.py line 689 195048] cabinet : 0.6074 0.7402 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] bed : 0.7620 0.8504 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] chair : 0.8841 0.9436 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] sofa : 0.8199 0.9063 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] table : 0.7001 0.8054 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] door : 0.6052 0.7444 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] window : 0.5356 0.6654 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] bookshelf : 0.7640 0.8740 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] picture : 0.2714 0.3643 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] counter : 0.5334 0.6494 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] desk : 0.5790 0.7383 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] curtain : 0.6784 0.7859 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] refridgerator : 0.4673 0.5152 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] shower curtain : 0.6681 0.7412 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] toilet : 0.8770 0.9449 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] sink : 0.6011 0.7072 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] bathtub : 0.8551 0.9086 +[2025-03-25 07:08:09,852 INFO hook.py line 689 195048] otherfurniture : 0.5366 0.6272 +[2025-03-25 07:08:09,852 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:08:09,852 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6766/0.7715/0.8862. +[2025-03-25 07:08:09,852 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:08:09,865 INFO misc.py line 164 195048] Currently Best mIoU: 0.6769 +[2025-03-25 07:08:09,865 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:08:23,229 INFO hook.py line 566 195048] Train: [97/100][50/400] Data 0.002 (0.003) Batch 0.207 (0.197) Remain 00:05:05 loss: 0.2583 Lr: 1.27885e-05 +[2025-03-25 07:08:33,148 INFO hook.py line 566 195048] Train: [97/100][100/400] Data 0.002 (0.003) Batch 0.177 (0.198) Remain 00:04:56 loss: 0.1266 Lr: 1.20028e-05 +[2025-03-25 07:08:43,317 INFO hook.py line 566 195048] Train: [97/100][150/400] Data 0.004 (0.003) Batch 0.213 (0.200) Remain 00:04:49 loss: 0.3233 Lr: 1.12425e-05 +[2025-03-25 07:08:53,263 INFO hook.py line 566 195048] Train: [97/100][200/400] Data 0.003 (0.003) Batch 0.200 (0.200) Remain 00:04:39 loss: 0.1907 Lr: 1.05077e-05 +[2025-03-25 07:09:03,143 INFO hook.py line 566 195048] Train: [97/100][250/400] Data 0.003 (0.003) Batch 0.182 (0.199) Remain 00:04:28 loss: 0.0069 Lr: 9.79830e-06 +[2025-03-25 07:09:12,921 INFO hook.py line 566 195048] Train: [97/100][300/400] Data 0.004 (0.003) Batch 0.211 (0.199) Remain 00:04:18 loss: 0.2191 Lr: 9.11439e-06 +[2025-03-25 07:09:22,896 INFO hook.py line 566 195048] Train: [97/100][350/400] Data 0.003 (0.003) Batch 0.213 (0.199) Remain 00:04:08 loss: 0.1542 Lr: 8.45596e-06 +[2025-03-25 07:09:31,977 INFO hook.py line 566 195048] Train: [97/100][400/400] Data 0.001 (0.003) Batch 0.145 (0.197) Remain 00:03:55 loss: 0.1744 Lr: 7.83543e-06 +[2025-03-25 07:09:31,977 INFO misc.py line 135 195048] Train result: loss: 0.1677 +[2025-03-25 07:09:32,065 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:09:42,655 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1948 +[2025-03-25 07:09:42,705 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6412 +[2025-03-25 07:09:42,745 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3829 +[2025-03-25 07:09:43,004 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6315 +[2025-03-25 07:09:43,038 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3591 +[2025-03-25 07:09:43,088 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7771 +[2025-03-25 07:09:43,256 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5727 +[2025-03-25 07:09:43,285 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3420 +[2025-03-25 07:09:43,326 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0366 +[2025-03-25 07:09:43,363 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5823 +[2025-03-25 07:09:43,408 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7338 +[2025-03-25 07:09:43,437 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3116 +[2025-03-25 07:09:43,481 INFO hook.py line 748 195048] Test: [13/78] Loss 2.6132 +[2025-03-25 07:09:43,515 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6377 +[2025-03-25 07:09:43,548 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8834 +[2025-03-25 07:09:43,588 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1320 +[2025-03-25 07:09:43,622 INFO hook.py line 748 195048] Test: [17/78] Loss 0.6172 +[2025-03-25 07:09:43,652 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7816 +[2025-03-25 07:09:43,692 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9305 +[2025-03-25 07:09:43,724 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4997 +[2025-03-25 07:09:43,756 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2694 +[2025-03-25 07:09:43,792 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6942 +[2025-03-25 07:09:43,818 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8223 +[2025-03-25 07:09:43,865 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0642 +[2025-03-25 07:09:43,902 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9208 +[2025-03-25 07:09:43,942 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5334 +[2025-03-25 07:09:43,988 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4072 +[2025-03-25 07:09:44,024 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4888 +[2025-03-25 07:09:44,050 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3049 +[2025-03-25 07:09:44,100 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5930 +[2025-03-25 07:09:44,153 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5082 +[2025-03-25 07:09:44,184 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6227 +[2025-03-25 07:09:44,233 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2690 +[2025-03-25 07:09:44,277 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1729 +[2025-03-25 07:09:44,310 INFO hook.py line 748 195048] Test: [35/78] Loss 0.3903 +[2025-03-25 07:09:44,347 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3765 +[2025-03-25 07:09:44,382 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5534 +[2025-03-25 07:09:44,410 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3047 +[2025-03-25 07:09:44,464 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4619 +[2025-03-25 07:09:44,505 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0350 +[2025-03-25 07:09:44,547 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2643 +[2025-03-25 07:09:44,572 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2429 +[2025-03-25 07:09:44,605 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2488 +[2025-03-25 07:09:44,659 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5577 +[2025-03-25 07:09:44,690 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5963 +[2025-03-25 07:09:44,737 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9382 +[2025-03-25 07:09:44,771 INFO hook.py line 748 195048] Test: [47/78] Loss 3.1390 +[2025-03-25 07:09:44,811 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7023 +[2025-03-25 07:09:44,841 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7664 +[2025-03-25 07:09:44,876 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2202 +[2025-03-25 07:09:44,915 INFO hook.py line 748 195048] Test: [51/78] Loss 1.1477 +[2025-03-25 07:09:44,959 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9524 +[2025-03-25 07:09:44,987 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3532 +[2025-03-25 07:09:45,022 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6163 +[2025-03-25 07:09:45,056 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0584 +[2025-03-25 07:09:45,092 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2856 +[2025-03-25 07:09:45,121 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7728 +[2025-03-25 07:09:45,144 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5737 +[2025-03-25 07:09:45,178 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8547 +[2025-03-25 07:09:45,207 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6115 +[2025-03-25 07:09:45,227 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7950 +[2025-03-25 07:09:45,256 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4455 +[2025-03-25 07:09:45,289 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3144 +[2025-03-25 07:09:45,339 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3916 +[2025-03-25 07:09:45,362 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9325 +[2025-03-25 07:09:45,400 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8322 +[2025-03-25 07:09:45,434 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4773 +[2025-03-25 07:09:45,462 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1615 +[2025-03-25 07:09:45,488 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3534 +[2025-03-25 07:09:45,540 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5395 +[2025-03-25 07:09:45,578 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8790 +[2025-03-25 07:09:45,623 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3609 +[2025-03-25 07:09:45,667 INFO hook.py line 748 195048] Test: [73/78] Loss 0.3959 +[2025-03-25 07:09:45,705 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3881 +[2025-03-25 07:09:45,750 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7542 +[2025-03-25 07:09:45,775 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7716 +[2025-03-25 07:09:45,825 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6017 +[2025-03-25 07:09:45,849 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6626 +[2025-03-25 07:09:46,836 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:09:46,836 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:09:46,836 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] wall : 0.8298 0.9369 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] floor : 0.9569 0.9836 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] cabinet : 0.6055 0.7355 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] bed : 0.7639 0.8505 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] chair : 0.8843 0.9432 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] sofa : 0.8211 0.9105 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] table : 0.7018 0.8016 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] door : 0.6067 0.7439 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] window : 0.5356 0.6638 +[2025-03-25 07:09:46,837 INFO hook.py line 689 195048] bookshelf : 0.7636 0.8773 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] picture : 0.2760 0.3748 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] counter : 0.5340 0.6463 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] desk : 0.5816 0.7449 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] curtain : 0.6743 0.7758 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] refridgerator : 0.4746 0.5254 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] shower curtain : 0.6655 0.7393 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] toilet : 0.8781 0.9448 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] sink : 0.5998 0.7002 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] bathtub : 0.8548 0.9079 +[2025-03-25 07:09:46,838 INFO hook.py line 689 195048] otherfurniture : 0.5344 0.6236 +[2025-03-25 07:09:46,838 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:09:46,839 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6771/0.7715/0.8863. +[2025-03-25 07:09:46,839 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:09:46,854 INFO misc.py line 159 195048] Best validation mIoU updated to: 0.6771 +[2025-03-25 07:09:46,854 INFO misc.py line 164 195048] Currently Best mIoU: 0.6771 +[2025-03-25 07:09:46,854 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:10:01,359 INFO hook.py line 566 195048] Train: [98/100][50/400] Data 0.002 (0.002) Batch 0.201 (0.204) Remain 00:03:54 loss: 0.3279 Lr: 7.22748e-06 +[2025-03-25 07:10:11,228 INFO hook.py line 566 195048] Train: [98/100][100/400] Data 0.003 (0.003) Batch 0.194 (0.200) Remain 00:03:40 loss: 0.1354 Lr: 6.64504e-06 +[2025-03-25 07:10:21,051 INFO hook.py line 566 195048] Train: [98/100][150/400] Data 0.003 (0.003) Batch 0.188 (0.199) Remain 00:03:29 loss: 0.0493 Lr: 6.08812e-06 +[2025-03-25 07:10:31,026 INFO hook.py line 566 195048] Train: [98/100][200/400] Data 0.002 (0.003) Batch 0.198 (0.199) Remain 00:03:19 loss: 0.2215 Lr: 5.55673e-06 +[2025-03-25 07:10:41,098 INFO hook.py line 566 195048] Train: [98/100][250/400] Data 0.003 (0.003) Batch 0.198 (0.200) Remain 00:03:09 loss: 0.0333 Lr: 5.05087e-06 +[2025-03-25 07:10:51,058 INFO hook.py line 566 195048] Train: [98/100][300/400] Data 0.002 (0.003) Batch 0.194 (0.200) Remain 00:02:59 loss: 0.3830 Lr: 4.57057e-06 +[2025-03-25 07:11:00,855 INFO hook.py line 566 195048] Train: [98/100][350/400] Data 0.002 (0.003) Batch 0.195 (0.199) Remain 00:02:49 loss: 0.0630 Lr: 4.11582e-06 +[2025-03-25 07:11:09,910 INFO hook.py line 566 195048] Train: [98/100][400/400] Data 0.001 (0.003) Batch 0.145 (0.197) Remain 00:02:37 loss: 0.2071 Lr: 3.68663e-06 +[2025-03-25 07:11:09,911 INFO misc.py line 135 195048] Train result: loss: 0.1605 +[2025-03-25 07:11:10,001 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:11:20,173 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1978 +[2025-03-25 07:11:20,752 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6149 +[2025-03-25 07:11:20,790 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3974 +[2025-03-25 07:11:20,835 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6382 +[2025-03-25 07:11:20,865 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3516 +[2025-03-25 07:11:21,086 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7614 +[2025-03-25 07:11:21,134 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5832 +[2025-03-25 07:11:21,157 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3381 +[2025-03-25 07:11:21,203 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0253 +[2025-03-25 07:11:21,238 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5876 +[2025-03-25 07:11:21,281 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7241 +[2025-03-25 07:11:21,311 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3590 +[2025-03-25 07:11:21,354 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5313 +[2025-03-25 07:11:21,388 INFO hook.py line 748 195048] Test: [14/78] Loss 2.6202 +[2025-03-25 07:11:21,421 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9033 +[2025-03-25 07:11:21,462 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1315 +[2025-03-25 07:11:21,497 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5985 +[2025-03-25 07:11:21,526 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7744 +[2025-03-25 07:11:21,566 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9731 +[2025-03-25 07:11:21,594 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4970 +[2025-03-25 07:11:21,627 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2661 +[2025-03-25 07:11:21,663 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6862 +[2025-03-25 07:11:21,692 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8345 +[2025-03-25 07:11:21,733 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0491 +[2025-03-25 07:11:21,776 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9220 +[2025-03-25 07:11:21,817 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5270 +[2025-03-25 07:11:21,864 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4159 +[2025-03-25 07:11:21,893 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4599 +[2025-03-25 07:11:21,919 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3110 +[2025-03-25 07:11:21,969 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5685 +[2025-03-25 07:11:22,022 INFO hook.py line 748 195048] Test: [31/78] Loss 0.4966 +[2025-03-25 07:11:22,053 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6166 +[2025-03-25 07:11:22,103 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2641 +[2025-03-25 07:11:22,141 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1575 +[2025-03-25 07:11:22,175 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4032 +[2025-03-25 07:11:22,206 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3901 +[2025-03-25 07:11:22,238 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5417 +[2025-03-25 07:11:22,268 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3026 +[2025-03-25 07:11:22,323 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4129 +[2025-03-25 07:11:22,364 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0112 +[2025-03-25 07:11:22,406 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2466 +[2025-03-25 07:11:22,428 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2439 +[2025-03-25 07:11:22,460 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2573 +[2025-03-25 07:11:22,514 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5656 +[2025-03-25 07:11:22,544 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5864 +[2025-03-25 07:11:22,586 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9156 +[2025-03-25 07:11:22,620 INFO hook.py line 748 195048] Test: [47/78] Loss 3.1473 +[2025-03-25 07:11:22,652 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7013 +[2025-03-25 07:11:22,690 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7295 +[2025-03-25 07:11:22,723 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2287 +[2025-03-25 07:11:22,761 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0667 +[2025-03-25 07:11:22,793 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9454 +[2025-03-25 07:11:22,818 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3416 +[2025-03-25 07:11:22,851 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6584 +[2025-03-25 07:11:22,886 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0578 +[2025-03-25 07:11:22,921 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2858 +[2025-03-25 07:11:22,951 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7835 +[2025-03-25 07:11:22,974 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5695 +[2025-03-25 07:11:23,009 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8586 +[2025-03-25 07:11:23,037 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6147 +[2025-03-25 07:11:23,057 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7729 +[2025-03-25 07:11:23,086 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4374 +[2025-03-25 07:11:23,117 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3881 +[2025-03-25 07:11:23,168 INFO hook.py line 748 195048] Test: [64/78] Loss 1.4082 +[2025-03-25 07:11:23,191 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9432 +[2025-03-25 07:11:23,228 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8168 +[2025-03-25 07:11:23,263 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4770 +[2025-03-25 07:11:23,291 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1290 +[2025-03-25 07:11:23,317 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3629 +[2025-03-25 07:11:23,369 INFO hook.py line 748 195048] Test: [70/78] Loss 1.4875 +[2025-03-25 07:11:23,407 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8847 +[2025-03-25 07:11:23,452 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3631 +[2025-03-25 07:11:23,496 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4084 +[2025-03-25 07:11:23,533 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3884 +[2025-03-25 07:11:23,579 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7431 +[2025-03-25 07:11:23,604 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7766 +[2025-03-25 07:11:23,653 INFO hook.py line 748 195048] Test: [77/78] Loss 0.6495 +[2025-03-25 07:11:23,676 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6589 +[2025-03-25 07:11:24,681 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:11:24,681 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:11:24,681 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] wall : 0.8303 0.9351 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] floor : 0.9569 0.9834 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] cabinet : 0.6049 0.7380 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] bed : 0.7639 0.8490 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] chair : 0.8845 0.9422 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] sofa : 0.8190 0.9107 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] table : 0.7008 0.8037 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] door : 0.6058 0.7436 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] window : 0.5377 0.6706 +[2025-03-25 07:11:24,681 INFO hook.py line 689 195048] bookshelf : 0.7608 0.8818 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] picture : 0.2761 0.3756 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] counter : 0.5319 0.6457 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] desk : 0.5782 0.7405 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] curtain : 0.6773 0.7818 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] refridgerator : 0.4715 0.5212 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] shower curtain : 0.6696 0.7443 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] toilet : 0.8805 0.9449 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] sink : 0.6018 0.7020 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] bathtub : 0.8547 0.9074 +[2025-03-25 07:11:24,682 INFO hook.py line 689 195048] otherfurniture : 0.5331 0.6229 +[2025-03-25 07:11:24,682 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:11:24,682 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6770/0.7722/0.8861. +[2025-03-25 07:11:24,682 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:11:24,694 INFO misc.py line 164 195048] Currently Best mIoU: 0.6771 +[2025-03-25 07:11:24,694 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:11:38,063 INFO hook.py line 566 195048] Train: [99/100][50/400] Data 0.002 (0.003) Batch 0.210 (0.201) Remain 00:02:30 loss: 0.0580 Lr: 3.28302e-06 +[2025-03-25 07:11:47,790 INFO hook.py line 566 195048] Train: [99/100][100/400] Data 0.003 (0.003) Batch 0.196 (0.198) Remain 00:02:18 loss: 0.0748 Lr: 2.90498e-06 +[2025-03-25 07:11:57,675 INFO hook.py line 566 195048] Train: [99/100][150/400] Data 0.002 (0.003) Batch 0.202 (0.198) Remain 00:02:08 loss: 0.0668 Lr: 2.55252e-06 +[2025-03-25 07:12:07,473 INFO hook.py line 566 195048] Train: [99/100][200/400] Data 0.002 (0.003) Batch 0.204 (0.197) Remain 00:01:58 loss: 0.0821 Lr: 2.22565e-06 +[2025-03-25 07:12:17,719 INFO hook.py line 566 195048] Train: [99/100][250/400] Data 0.003 (0.003) Batch 0.197 (0.199) Remain 00:01:49 loss: 0.1498 Lr: 1.92438e-06 +[2025-03-25 07:12:27,652 INFO hook.py line 566 195048] Train: [99/100][300/400] Data 0.003 (0.003) Batch 0.193 (0.199) Remain 00:01:39 loss: 0.3712 Lr: 1.64871e-06 +[2025-03-25 07:12:37,602 INFO hook.py line 566 195048] Train: [99/100][350/400] Data 0.002 (0.003) Batch 0.200 (0.199) Remain 00:01:29 loss: 0.2840 Lr: 1.39865e-06 +[2025-03-25 07:12:46,515 INFO hook.py line 566 195048] Train: [99/100][400/400] Data 0.001 (0.003) Batch 0.155 (0.196) Remain 00:01:18 loss: 0.3009 Lr: 1.17419e-06 +[2025-03-25 07:12:46,515 INFO misc.py line 135 195048] Train result: loss: 0.1574 +[2025-03-25 07:12:46,604 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:12:54,519 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1849 +[2025-03-25 07:12:56,979 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6369 +[2025-03-25 07:12:57,199 INFO hook.py line 748 195048] Test: [3/78] Loss 0.4045 +[2025-03-25 07:12:57,257 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6313 +[2025-03-25 07:12:57,575 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3556 +[2025-03-25 07:12:58,113 INFO hook.py line 748 195048] Test: [6/78] Loss 1.7874 +[2025-03-25 07:12:58,160 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5817 +[2025-03-25 07:12:58,187 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3439 +[2025-03-25 07:12:58,234 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0372 +[2025-03-25 07:12:58,263 INFO hook.py line 748 195048] Test: [10/78] Loss 0.6262 +[2025-03-25 07:12:58,305 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7394 +[2025-03-25 07:12:58,334 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3382 +[2025-03-25 07:12:58,376 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5527 +[2025-03-25 07:12:58,411 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5800 +[2025-03-25 07:12:58,444 INFO hook.py line 748 195048] Test: [15/78] Loss 1.8796 +[2025-03-25 07:12:58,486 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1377 +[2025-03-25 07:12:58,521 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5963 +[2025-03-25 07:12:58,553 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7949 +[2025-03-25 07:12:58,597 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9506 +[2025-03-25 07:12:58,624 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4813 +[2025-03-25 07:12:58,656 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2641 +[2025-03-25 07:12:58,692 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6927 +[2025-03-25 07:12:58,718 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8170 +[2025-03-25 07:12:58,758 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0620 +[2025-03-25 07:12:58,800 INFO hook.py line 748 195048] Test: [25/78] Loss 0.9412 +[2025-03-25 07:12:58,842 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5215 +[2025-03-25 07:12:58,889 INFO hook.py line 748 195048] Test: [27/78] Loss 1.4251 +[2025-03-25 07:12:58,925 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4618 +[2025-03-25 07:12:58,950 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3155 +[2025-03-25 07:12:59,006 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5713 +[2025-03-25 07:12:59,060 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5009 +[2025-03-25 07:12:59,091 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6186 +[2025-03-25 07:12:59,138 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2688 +[2025-03-25 07:12:59,174 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1107 +[2025-03-25 07:12:59,210 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4149 +[2025-03-25 07:12:59,241 INFO hook.py line 748 195048] Test: [36/78] Loss 1.3950 +[2025-03-25 07:12:59,275 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5421 +[2025-03-25 07:12:59,306 INFO hook.py line 748 195048] Test: [38/78] Loss 0.3018 +[2025-03-25 07:12:59,361 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4674 +[2025-03-25 07:12:59,402 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0407 +[2025-03-25 07:12:59,448 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2399 +[2025-03-25 07:12:59,477 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2579 +[2025-03-25 07:12:59,510 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2492 +[2025-03-25 07:12:59,562 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5595 +[2025-03-25 07:12:59,592 INFO hook.py line 748 195048] Test: [45/78] Loss 0.6291 +[2025-03-25 07:12:59,642 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9347 +[2025-03-25 07:12:59,675 INFO hook.py line 748 195048] Test: [47/78] Loss 3.0749 +[2025-03-25 07:12:59,715 INFO hook.py line 748 195048] Test: [48/78] Loss 0.7032 +[2025-03-25 07:12:59,755 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7350 +[2025-03-25 07:12:59,786 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2340 +[2025-03-25 07:12:59,815 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0361 +[2025-03-25 07:12:59,848 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9432 +[2025-03-25 07:12:59,876 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3406 +[2025-03-25 07:12:59,913 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6349 +[2025-03-25 07:12:59,949 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0584 +[2025-03-25 07:12:59,985 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2810 +[2025-03-25 07:13:00,014 INFO hook.py line 748 195048] Test: [57/78] Loss 0.7982 +[2025-03-25 07:13:00,037 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5556 +[2025-03-25 07:13:00,072 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8463 +[2025-03-25 07:13:00,100 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6002 +[2025-03-25 07:13:00,120 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7843 +[2025-03-25 07:13:00,149 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4362 +[2025-03-25 07:13:00,180 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3534 +[2025-03-25 07:13:00,231 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3679 +[2025-03-25 07:13:00,254 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9493 +[2025-03-25 07:13:00,291 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8273 +[2025-03-25 07:13:00,325 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4731 +[2025-03-25 07:13:00,355 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1539 +[2025-03-25 07:13:00,382 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3545 +[2025-03-25 07:13:00,434 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5202 +[2025-03-25 07:13:00,471 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8818 +[2025-03-25 07:13:00,517 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3650 +[2025-03-25 07:13:00,561 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4074 +[2025-03-25 07:13:00,598 INFO hook.py line 748 195048] Test: [74/78] Loss 2.4038 +[2025-03-25 07:13:00,644 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7392 +[2025-03-25 07:13:00,669 INFO hook.py line 748 195048] Test: [76/78] Loss 0.7870 +[2025-03-25 07:13:00,718 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7162 +[2025-03-25 07:13:00,741 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6510 +[2025-03-25 07:13:01,777 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:13:01,777 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:13:01,778 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] wall : 0.8297 0.9348 +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] floor : 0.9570 0.9833 +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] cabinet : 0.6054 0.7378 +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] bed : 0.7632 0.8490 +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] chair : 0.8843 0.9421 +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] sofa : 0.8178 0.9101 +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] table : 0.7011 0.8045 +[2025-03-25 07:13:01,778 INFO hook.py line 689 195048] door : 0.6041 0.7410 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] window : 0.5366 0.6693 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] bookshelf : 0.7618 0.8829 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] picture : 0.2766 0.3768 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] counter : 0.5368 0.6546 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] desk : 0.5758 0.7426 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] curtain : 0.6758 0.7773 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] refridgerator : 0.4688 0.5170 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] shower curtain : 0.6676 0.7449 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] toilet : 0.8804 0.9447 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] sink : 0.5999 0.7002 +[2025-03-25 07:13:01,779 INFO hook.py line 689 195048] bathtub : 0.8558 0.9078 +[2025-03-25 07:13:01,780 INFO hook.py line 689 195048] otherfurniture : 0.5344 0.6245 +[2025-03-25 07:13:01,780 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:13:01,780 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6767/0.7723/0.8859. +[2025-03-25 07:13:01,781 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:13:01,791 INFO misc.py line 164 195048] Currently Best mIoU: 0.6771 +[2025-03-25 07:13:01,792 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:13:15,271 INFO hook.py line 566 195048] Train: [100/100][50/400] Data 0.002 (0.002) Batch 0.195 (0.202) Remain 00:01:10 loss: 0.2837 Lr: 9.75353e-07 +[2025-03-25 07:13:25,333 INFO hook.py line 566 195048] Train: [100/100][100/400] Data 0.002 (0.003) Batch 0.196 (0.201) Remain 00:01:00 loss: 0.2390 Lr: 8.02128e-07 +[2025-03-25 07:13:35,161 INFO hook.py line 566 195048] Train: [100/100][150/400] Data 0.004 (0.003) Batch 0.180 (0.200) Remain 00:00:49 loss: 0.0803 Lr: 6.54523e-07 +[2025-03-25 07:13:45,126 INFO hook.py line 566 195048] Train: [100/100][200/400] Data 0.002 (0.003) Batch 0.206 (0.200) Remain 00:00:39 loss: 0.1462 Lr: 5.32540e-07 +[2025-03-25 07:13:55,049 INFO hook.py line 566 195048] Train: [100/100][250/400] Data 0.003 (0.003) Batch 0.188 (0.199) Remain 00:00:29 loss: 0.3098 Lr: 4.36182e-07 +[2025-03-25 07:14:04,896 INFO hook.py line 566 195048] Train: [100/100][300/400] Data 0.002 (0.003) Batch 0.200 (0.199) Remain 00:00:19 loss: 0.1767 Lr: 3.65449e-07 +[2025-03-25 07:14:14,640 INFO hook.py line 566 195048] Train: [100/100][350/400] Data 0.002 (0.003) Batch 0.202 (0.198) Remain 00:00:09 loss: 0.2811 Lr: 3.20344e-07 +[2025-03-25 07:14:23,549 INFO hook.py line 566 195048] Train: [100/100][400/400] Data 0.001 (0.002) Batch 0.151 (0.196) Remain 00:00:00 loss: 0.0474 Lr: 3.00866e-07 +[2025-03-25 07:14:23,549 INFO misc.py line 135 195048] Train result: loss: 0.1568 +[2025-03-25 07:14:23,641 INFO hook.py line 699 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:14:34,461 INFO hook.py line 748 195048] Test: [1/78] Loss 0.1834 +[2025-03-25 07:14:34,505 INFO hook.py line 748 195048] Test: [2/78] Loss 0.6655 +[2025-03-25 07:14:34,542 INFO hook.py line 748 195048] Test: [3/78] Loss 0.3937 +[2025-03-25 07:14:34,586 INFO hook.py line 748 195048] Test: [4/78] Loss 0.6305 +[2025-03-25 07:14:34,616 INFO hook.py line 748 195048] Test: [5/78] Loss 0.3589 +[2025-03-25 07:14:34,974 INFO hook.py line 748 195048] Test: [6/78] Loss 1.8009 +[2025-03-25 07:14:35,026 INFO hook.py line 748 195048] Test: [7/78] Loss 0.5731 +[2025-03-25 07:14:35,057 INFO hook.py line 748 195048] Test: [8/78] Loss 0.3416 +[2025-03-25 07:14:35,099 INFO hook.py line 748 195048] Test: [9/78] Loss 1.0442 +[2025-03-25 07:14:35,128 INFO hook.py line 748 195048] Test: [10/78] Loss 0.5728 +[2025-03-25 07:14:35,169 INFO hook.py line 748 195048] Test: [11/78] Loss 0.7156 +[2025-03-25 07:14:35,199 INFO hook.py line 748 195048] Test: [12/78] Loss 1.3250 +[2025-03-25 07:14:35,243 INFO hook.py line 748 195048] Test: [13/78] Loss 2.5652 +[2025-03-25 07:14:35,289 INFO hook.py line 748 195048] Test: [14/78] Loss 2.5911 +[2025-03-25 07:14:35,321 INFO hook.py line 748 195048] Test: [15/78] Loss 1.9033 +[2025-03-25 07:14:35,362 INFO hook.py line 748 195048] Test: [16/78] Loss 0.1369 +[2025-03-25 07:14:35,399 INFO hook.py line 748 195048] Test: [17/78] Loss 0.5918 +[2025-03-25 07:14:35,433 INFO hook.py line 748 195048] Test: [18/78] Loss 0.7972 +[2025-03-25 07:14:35,473 INFO hook.py line 748 195048] Test: [19/78] Loss 0.9860 +[2025-03-25 07:14:35,508 INFO hook.py line 748 195048] Test: [20/78] Loss 1.4770 +[2025-03-25 07:14:35,548 INFO hook.py line 748 195048] Test: [21/78] Loss 0.2730 +[2025-03-25 07:14:35,584 INFO hook.py line 748 195048] Test: [22/78] Loss 1.6880 +[2025-03-25 07:14:35,613 INFO hook.py line 748 195048] Test: [23/78] Loss 0.8117 +[2025-03-25 07:14:35,653 INFO hook.py line 748 195048] Test: [24/78] Loss 1.0675 +[2025-03-25 07:14:35,691 INFO hook.py line 748 195048] Test: [25/78] Loss 0.8808 +[2025-03-25 07:14:35,737 INFO hook.py line 748 195048] Test: [26/78] Loss 0.5232 +[2025-03-25 07:14:35,782 INFO hook.py line 748 195048] Test: [27/78] Loss 1.3896 +[2025-03-25 07:14:35,810 INFO hook.py line 748 195048] Test: [28/78] Loss 0.4485 +[2025-03-25 07:14:35,836 INFO hook.py line 748 195048] Test: [29/78] Loss 0.3103 +[2025-03-25 07:14:35,887 INFO hook.py line 748 195048] Test: [30/78] Loss 0.5597 +[2025-03-25 07:14:35,942 INFO hook.py line 748 195048] Test: [31/78] Loss 0.5120 +[2025-03-25 07:14:35,976 INFO hook.py line 748 195048] Test: [32/78] Loss 0.6048 +[2025-03-25 07:14:36,029 INFO hook.py line 748 195048] Test: [33/78] Loss 0.2776 +[2025-03-25 07:14:36,066 INFO hook.py line 748 195048] Test: [34/78] Loss 1.1891 +[2025-03-25 07:14:36,103 INFO hook.py line 748 195048] Test: [35/78] Loss 0.4120 +[2025-03-25 07:14:36,136 INFO hook.py line 748 195048] Test: [36/78] Loss 1.4078 +[2025-03-25 07:14:36,168 INFO hook.py line 748 195048] Test: [37/78] Loss 0.5449 +[2025-03-25 07:14:36,198 INFO hook.py line 748 195048] Test: [38/78] Loss 0.2964 +[2025-03-25 07:14:36,252 INFO hook.py line 748 195048] Test: [39/78] Loss 1.4426 +[2025-03-25 07:14:36,294 INFO hook.py line 748 195048] Test: [40/78] Loss 2.0146 +[2025-03-25 07:14:36,332 INFO hook.py line 748 195048] Test: [41/78] Loss 1.2590 +[2025-03-25 07:14:36,356 INFO hook.py line 748 195048] Test: [42/78] Loss 0.2449 +[2025-03-25 07:14:36,388 INFO hook.py line 748 195048] Test: [43/78] Loss 0.2528 +[2025-03-25 07:14:36,442 INFO hook.py line 748 195048] Test: [44/78] Loss 0.5472 +[2025-03-25 07:14:36,474 INFO hook.py line 748 195048] Test: [45/78] Loss 0.5812 +[2025-03-25 07:14:36,516 INFO hook.py line 748 195048] Test: [46/78] Loss 0.9322 +[2025-03-25 07:14:36,553 INFO hook.py line 748 195048] Test: [47/78] Loss 3.1110 +[2025-03-25 07:14:36,585 INFO hook.py line 748 195048] Test: [48/78] Loss 0.6949 +[2025-03-25 07:14:36,616 INFO hook.py line 748 195048] Test: [49/78] Loss 1.7305 +[2025-03-25 07:14:36,659 INFO hook.py line 748 195048] Test: [50/78] Loss 1.2407 +[2025-03-25 07:14:36,688 INFO hook.py line 748 195048] Test: [51/78] Loss 1.0429 +[2025-03-25 07:14:36,720 INFO hook.py line 748 195048] Test: [52/78] Loss 0.9534 +[2025-03-25 07:14:36,745 INFO hook.py line 748 195048] Test: [53/78] Loss 0.3577 +[2025-03-25 07:14:36,782 INFO hook.py line 748 195048] Test: [54/78] Loss 2.6753 +[2025-03-25 07:14:36,817 INFO hook.py line 748 195048] Test: [55/78] Loss 0.0586 +[2025-03-25 07:14:36,852 INFO hook.py line 748 195048] Test: [56/78] Loss 0.2816 +[2025-03-25 07:14:36,881 INFO hook.py line 748 195048] Test: [57/78] Loss 0.8071 +[2025-03-25 07:14:36,905 INFO hook.py line 748 195048] Test: [58/78] Loss 0.5600 +[2025-03-25 07:14:36,940 INFO hook.py line 748 195048] Test: [59/78] Loss 0.8538 +[2025-03-25 07:14:36,968 INFO hook.py line 748 195048] Test: [60/78] Loss 0.6254 +[2025-03-25 07:14:36,988 INFO hook.py line 748 195048] Test: [61/78] Loss 0.7829 +[2025-03-25 07:14:37,017 INFO hook.py line 748 195048] Test: [62/78] Loss 0.4544 +[2025-03-25 07:14:37,049 INFO hook.py line 748 195048] Test: [63/78] Loss 1.3614 +[2025-03-25 07:14:37,100 INFO hook.py line 748 195048] Test: [64/78] Loss 1.3805 +[2025-03-25 07:14:37,123 INFO hook.py line 748 195048] Test: [65/78] Loss 0.9560 +[2025-03-25 07:14:37,160 INFO hook.py line 748 195048] Test: [66/78] Loss 0.8185 +[2025-03-25 07:14:37,194 INFO hook.py line 748 195048] Test: [67/78] Loss 0.4699 +[2025-03-25 07:14:37,223 INFO hook.py line 748 195048] Test: [68/78] Loss 1.1350 +[2025-03-25 07:14:37,249 INFO hook.py line 748 195048] Test: [69/78] Loss 0.3542 +[2025-03-25 07:14:37,301 INFO hook.py line 748 195048] Test: [70/78] Loss 1.5560 +[2025-03-25 07:14:37,339 INFO hook.py line 748 195048] Test: [71/78] Loss 0.8572 +[2025-03-25 07:14:37,384 INFO hook.py line 748 195048] Test: [72/78] Loss 0.3624 +[2025-03-25 07:14:37,428 INFO hook.py line 748 195048] Test: [73/78] Loss 0.4135 +[2025-03-25 07:14:37,465 INFO hook.py line 748 195048] Test: [74/78] Loss 2.3782 +[2025-03-25 07:14:37,511 INFO hook.py line 748 195048] Test: [75/78] Loss 0.7573 +[2025-03-25 07:14:37,537 INFO hook.py line 748 195048] Test: [76/78] Loss 0.8081 +[2025-03-25 07:14:37,586 INFO hook.py line 748 195048] Test: [77/78] Loss 0.7428 +[2025-03-25 07:14:37,609 INFO hook.py line 748 195048] Test: [78/78] Loss 0.6514 +[2025-03-25 07:14:38,623 INFO hook.py line 674 195048] ######################################## +[2025-03-25 07:14:38,623 INFO hook.py line 679 195048] what : mIoU Acc +[2025-03-25 07:14:38,624 INFO hook.py line 680 195048] ######################################## +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] wall : 0.8301 0.9341 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] floor : 0.9568 0.9833 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] cabinet : 0.6050 0.7374 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] bed : 0.7610 0.8485 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] chair : 0.8851 0.9426 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] sofa : 0.8188 0.9100 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] table : 0.7010 0.8041 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] door : 0.6048 0.7437 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] window : 0.5367 0.6702 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] bookshelf : 0.7614 0.8830 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] picture : 0.2751 0.3737 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] counter : 0.5372 0.6518 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] desk : 0.5778 0.7440 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] curtain : 0.6768 0.7823 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] refridgerator : 0.4662 0.5162 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] shower curtain : 0.6629 0.7381 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] toilet : 0.8774 0.9438 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] sink : 0.6013 0.7005 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] bathtub : 0.8577 0.9100 +[2025-03-25 07:14:38,624 INFO hook.py line 689 195048] otherfurniture : 0.5356 0.6265 +[2025-03-25 07:14:38,624 INFO hook.py line 690 195048] ######################################## +[2025-03-25 07:14:38,624 INFO hook.py line 691 195048] Overall: mIoU/mAcc/allAcc 0.6764/0.7722/0.8860. +[2025-03-25 07:14:38,625 INFO hook.py line 765 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-03-25 07:14:38,636 INFO misc.py line 164 195048] Currently Best mIoU: 0.6771 +[2025-03-25 07:14:38,636 INFO misc.py line 173 195048] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la50/model/model_last.pth +[2025-03-25 07:14:39,153 INFO hook.py line 771 195048] Best mIoU: 0.6771 +[2025-03-25 07:14:39,153 INFO misc.py line 259 195048] >>>>>>>>>>>>>>>> Start Precise Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:14:39,153 INFO test.py line 41 195048] => Loading config ... +[2025-03-25 07:14:39,153 INFO test.py line 53 195048] => Building test dataset & dataloader ... +[2025-03-25 07:14:39,155 INFO defaults.py line 68 195048] Totally 312 x 1 samples in val set. +[2025-03-25 07:14:39,155 INFO misc.py line 270 195048] => Testing on model_best ... +[2025-03-25 07:14:39,445 INFO test.py line 119 195048] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-03-25 07:14:49,688 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 0/109 +[2025-03-25 07:14:49,711 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 1/109 +[2025-03-25 07:14:49,731 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 2/109 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195048] Test: 1/78-scene0406_02, Batch: 97/109 +[2025-03-25 07:14:51,212 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 98/109 +[2025-03-25 07:14:51,227 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 99/109 +[2025-03-25 07:14:51,243 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 100/109 +[2025-03-25 07:14:51,259 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 101/109 +[2025-03-25 07:14:51,275 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 102/109 +[2025-03-25 07:14:51,290 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 103/109 +[2025-03-25 07:14:51,306 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 104/109 +[2025-03-25 07:14:51,322 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 105/109 +[2025-03-25 07:14:51,338 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 106/109 +[2025-03-25 07:14:51,354 INFO test.py line 201 195048] Test: 1/78-scene0406_02, Batch: 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test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 123/134 +[2025-03-25 07:14:59,376 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 124/134 +[2025-03-25 07:14:59,412 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 125/134 +[2025-03-25 07:14:59,447 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 126/134 +[2025-03-25 07:14:59,483 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 127/134 +[2025-03-25 07:14:59,517 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 128/134 +[2025-03-25 07:14:59,553 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 129/134 +[2025-03-25 07:14:59,588 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 130/134 +[2025-03-25 07:14:59,624 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 131/134 +[2025-03-25 07:14:59,659 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 132/134 +[2025-03-25 07:14:59,695 INFO test.py line 201 195048] Test: 2/78-scene0593_00, Batch: 133/134 +[2025-03-25 07:14:59,928 INFO test.py line 291 195048] Test: scene0593_00 [2/78]-211902 Batch 6.143 (3.942) Accuracy 0.8993 (0.5784) mIoU 0.4076 (0.5390) +[2025-03-25 07:14:59,961 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 0/143 +[2025-03-25 07:14:59,987 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 1/143 +[2025-03-25 07:15:00,014 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 2/143 +[2025-03-25 07:15:00,039 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 3/143 +[2025-03-25 07:15:00,065 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 4/143 +[2025-03-25 07:15:00,092 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 5/143 +[2025-03-25 07:15:00,117 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 6/143 +[2025-03-25 07:15:00,144 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 7/143 +[2025-03-25 07:15:00,168 INFO test.py line 201 195048] 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test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 134/143 +[2025-03-25 07:15:03,747 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 135/143 +[2025-03-25 07:15:03,772 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 136/143 +[2025-03-25 07:15:03,797 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 137/143 +[2025-03-25 07:15:03,822 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 138/143 +[2025-03-25 07:15:03,848 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 139/143 +[2025-03-25 07:15:03,875 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 140/143 +[2025-03-25 07:15:03,901 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 141/143 +[2025-03-25 07:15:03,925 INFO test.py line 201 195048] Test: 3/78-scene0356_01, Batch: 142/143 +[2025-03-25 07:15:04,036 INFO test.py line 291 195048] Test: scene0356_01 [3/78]-96610 Batch 4.107 (3.997) Accuracy 0.9196 (0.7200) mIoU 0.5834 (0.6543) +[2025-03-25 07:15:04,070 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 0/142 +[2025-03-25 07:15:04,098 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 1/142 +[2025-03-25 07:15:04,127 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 2/142 +[2025-03-25 07:15:04,162 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 3/142 +[2025-03-25 07:15:04,190 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 4/142 +[2025-03-25 07:15:04,217 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 5/142 +[2025-03-25 07:15:04,245 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 6/142 +[2025-03-25 07:15:04,273 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 7/142 +[2025-03-25 07:15:04,301 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 8/142 +[2025-03-25 07:15:04,330 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 9/142 +[2025-03-25 07:15:04,357 INFO test.py line 201 195048] Test: 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195048] Test: 4/78-scene0578_02, Batch: 115/142 +[2025-03-25 07:15:07,283 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 116/142 +[2025-03-25 07:15:07,309 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 117/142 +[2025-03-25 07:15:07,335 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 118/142 +[2025-03-25 07:15:07,360 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 119/142 +[2025-03-25 07:15:07,385 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 120/142 +[2025-03-25 07:15:07,411 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 121/142 +[2025-03-25 07:15:07,436 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 122/142 +[2025-03-25 07:15:07,462 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 123/142 +[2025-03-25 07:15:07,487 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 124/142 +[2025-03-25 07:15:07,513 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 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test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 136/142 +[2025-03-25 07:15:07,833 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 137/142 +[2025-03-25 07:15:07,857 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 138/142 +[2025-03-25 07:15:07,895 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 139/142 +[2025-03-25 07:15:07,920 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 140/142 +[2025-03-25 07:15:07,945 INFO test.py line 201 195048] Test: 4/78-scene0578_02, Batch: 141/142 +[2025-03-25 07:15:08,095 INFO test.py line 291 195048] Test: scene0578_02 [4/78]-128553 Batch 4.059 (4.013) Accuracy 0.9432 (0.7080) mIoU 0.4660 (0.6621) +[2025-03-25 07:15:08,122 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 0/113 +[2025-03-25 07:15:08,146 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 1/113 +[2025-03-25 07:15:08,170 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 2/113 +[2025-03-25 07:15:08,194 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 3/113 +[2025-03-25 07:15:08,217 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 4/113 +[2025-03-25 07:15:08,240 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 5/113 +[2025-03-25 07:15:08,268 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 6/113 +[2025-03-25 07:15:08,291 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 7/113 +[2025-03-25 07:15:08,314 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 8/113 +[2025-03-25 07:15:08,338 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 9/113 +[2025-03-25 07:15:08,362 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 10/113 +[2025-03-25 07:15:08,386 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 11/113 +[2025-03-25 07:15:08,410 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 12/113 +[2025-03-25 07:15:08,434 INFO test.py line 201 195048] Test: 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07:15:10,298 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 87/113 +[2025-03-25 07:15:10,322 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 88/113 +[2025-03-25 07:15:10,347 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 89/113 +[2025-03-25 07:15:10,371 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 90/113 +[2025-03-25 07:15:10,395 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 91/113 +[2025-03-25 07:15:10,419 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 92/113 +[2025-03-25 07:15:10,444 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 93/113 +[2025-03-25 07:15:10,467 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 94/113 +[2025-03-25 07:15:10,490 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 95/113 +[2025-03-25 07:15:10,514 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 96/113 +[2025-03-25 07:15:10,537 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 97/113 +[2025-03-25 07:15:10,564 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 98/113 +[2025-03-25 07:15:10,593 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 99/113 +[2025-03-25 07:15:10,616 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 100/113 +[2025-03-25 07:15:10,639 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 101/113 +[2025-03-25 07:15:10,663 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 102/113 +[2025-03-25 07:15:10,687 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 103/113 +[2025-03-25 07:15:10,711 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 104/113 +[2025-03-25 07:15:10,734 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 105/113 +[2025-03-25 07:15:10,758 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 106/113 +[2025-03-25 07:15:10,782 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 107/113 +[2025-03-25 07:15:10,805 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 108/113 +[2025-03-25 07:15:10,829 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 109/113 +[2025-03-25 07:15:10,853 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 110/113 +[2025-03-25 07:15:10,876 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 111/113 +[2025-03-25 07:15:10,899 INFO test.py line 201 195048] Test: 5/78-scene0077_01, Batch: 112/113 +[2025-03-25 07:15:11,003 INFO test.py line 291 195048] Test: scene0077_01 [5/78]-90381 Batch 2.907 (3.791) Accuracy 0.9477 (0.7462) mIoU 0.6576 (0.6909) +[2025-03-25 07:15:11,029 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 0/121 +[2025-03-25 07:15:11,054 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 1/121 +[2025-03-25 07:15:11,078 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 2/121 +[2025-03-25 07:15:11,102 INFO test.py line 201 195048] Test: 6/78-scene0382_01, 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+[2025-03-25 07:15:11,629 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 25/121 +[2025-03-25 07:15:11,653 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 26/121 +[2025-03-25 07:15:11,677 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 27/121 +[2025-03-25 07:15:11,701 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 28/121 +[2025-03-25 07:15:11,725 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 29/121 +[2025-03-25 07:15:11,749 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 30/121 +[2025-03-25 07:15:11,772 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 31/121 +[2025-03-25 07:15:11,795 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 32/121 +[2025-03-25 07:15:11,817 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 33/121 +[2025-03-25 07:15:11,840 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 34/121 +[2025-03-25 07:15:11,863 INFO test.py line 201 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+[2025-03-25 07:15:12,115 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 46/121 +[2025-03-25 07:15:12,139 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 47/121 +[2025-03-25 07:15:12,162 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 48/121 +[2025-03-25 07:15:12,185 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 49/121 +[2025-03-25 07:15:12,208 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 50/121 +[2025-03-25 07:15:12,237 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 51/121 +[2025-03-25 07:15:12,260 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 52/121 +[2025-03-25 07:15:12,283 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 53/121 +[2025-03-25 07:15:12,306 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 54/121 +[2025-03-25 07:15:12,330 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 55/121 +[2025-03-25 07:15:12,353 INFO test.py line 201 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+[2025-03-25 07:15:12,634 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 67/121 +[2025-03-25 07:15:12,657 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 68/121 +[2025-03-25 07:15:12,680 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 69/121 +[2025-03-25 07:15:12,703 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 70/121 +[2025-03-25 07:15:12,727 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 71/121 +[2025-03-25 07:15:12,750 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 72/121 +[2025-03-25 07:15:12,773 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 73/121 +[2025-03-25 07:15:12,796 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 74/121 +[2025-03-25 07:15:12,820 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 75/121 +[2025-03-25 07:15:12,849 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 76/121 +[2025-03-25 07:15:12,873 INFO test.py line 201 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+[2025-03-25 07:15:13,202 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 88/121 +[2025-03-25 07:15:13,227 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 89/121 +[2025-03-25 07:15:13,253 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 90/121 +[2025-03-25 07:15:13,277 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 91/121 +[2025-03-25 07:15:13,306 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 92/121 +[2025-03-25 07:15:13,332 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 93/121 +[2025-03-25 07:15:13,355 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 94/121 +[2025-03-25 07:15:13,379 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 95/121 +[2025-03-25 07:15:13,402 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 96/121 +[2025-03-25 07:15:13,430 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 97/121 +[2025-03-25 07:15:13,454 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 98/121 +[2025-03-25 07:15:13,477 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 99/121 +[2025-03-25 07:15:13,501 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 100/121 +[2025-03-25 07:15:13,525 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 101/121 +[2025-03-25 07:15:13,548 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 102/121 +[2025-03-25 07:15:13,572 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 103/121 +[2025-03-25 07:15:13,596 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 104/121 +[2025-03-25 07:15:13,620 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 105/121 +[2025-03-25 07:15:13,644 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 106/121 +[2025-03-25 07:15:13,669 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 107/121 +[2025-03-25 07:15:13,694 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 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test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 119/121 +[2025-03-25 07:15:14,009 INFO test.py line 201 195048] Test: 6/78-scene0382_01, Batch: 120/121 +[2025-03-25 07:15:14,116 INFO test.py line 291 195048] Test: scene0382_01 [6/78]-96933 Batch 3.113 (3.678) Accuracy 0.8105 (0.7594) mIoU 0.4329 (0.6945) +[2025-03-25 07:15:16,141 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 0/134 +[2025-03-25 07:15:16,203 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 1/134 +[2025-03-25 07:15:16,263 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 2/134 +[2025-03-25 07:15:16,318 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 3/134 +[2025-03-25 07:15:16,377 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 4/134 +[2025-03-25 07:15:16,431 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 5/134 +[2025-03-25 07:15:16,487 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 6/134 +[2025-03-25 07:15:16,545 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 7/134 +[2025-03-25 07:15:16,597 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 8/134 +[2025-03-25 07:15:16,646 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 9/134 +[2025-03-25 07:15:16,696 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 10/134 +[2025-03-25 07:15:16,746 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 11/134 +[2025-03-25 07:15:16,797 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 12/134 +[2025-03-25 07:15:16,846 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 13/134 +[2025-03-25 07:15:16,896 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 14/134 +[2025-03-25 07:15:16,945 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 15/134 +[2025-03-25 07:15:16,994 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 16/134 +[2025-03-25 07:15:17,043 INFO test.py line 201 195048] Test: 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07:15:17,587 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 28/134 +[2025-03-25 07:15:17,636 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 29/134 +[2025-03-25 07:15:17,684 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 30/134 +[2025-03-25 07:15:17,732 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 31/134 +[2025-03-25 07:15:17,781 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 32/134 +[2025-03-25 07:15:17,836 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 33/134 +[2025-03-25 07:15:17,884 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 34/134 +[2025-03-25 07:15:17,934 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 35/134 +[2025-03-25 07:15:17,985 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 36/134 +[2025-03-25 07:15:18,034 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 37/134 +[2025-03-25 07:15:18,084 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:15:21,614 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 112/134 +[2025-03-25 07:15:21,664 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 113/134 +[2025-03-25 07:15:21,715 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 114/134 +[2025-03-25 07:15:21,765 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 115/134 +[2025-03-25 07:15:21,815 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 116/134 +[2025-03-25 07:15:21,866 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 117/134 +[2025-03-25 07:15:21,919 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 118/134 +[2025-03-25 07:15:21,969 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 119/134 +[2025-03-25 07:15:22,020 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 120/134 +[2025-03-25 07:15:22,071 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 121/134 +[2025-03-25 07:15:22,122 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 122/134 +[2025-03-25 07:15:22,173 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 123/134 +[2025-03-25 07:15:22,222 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 124/134 +[2025-03-25 07:15:22,269 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 125/134 +[2025-03-25 07:15:22,314 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 126/134 +[2025-03-25 07:15:22,358 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 127/134 +[2025-03-25 07:15:22,401 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 128/134 +[2025-03-25 07:15:22,444 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 129/134 +[2025-03-25 07:15:22,488 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 130/134 +[2025-03-25 07:15:22,531 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 131/134 +[2025-03-25 07:15:22,574 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 132/134 +[2025-03-25 07:15:22,618 INFO test.py line 201 195048] Test: 7/78-scene0653_01, Batch: 133/134 +[2025-03-25 07:15:22,907 INFO test.py line 291 195048] Test: scene0653_01 [7/78]-331565 Batch 6.860 (4.133) Accuracy 0.9207 (0.7637) mIoU 0.4725 (0.6955) +[2025-03-25 07:15:22,926 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 0/113 +[2025-03-25 07:15:22,944 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 1/113 +[2025-03-25 07:15:22,961 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 2/113 +[2025-03-25 07:15:22,977 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 3/113 +[2025-03-25 07:15:22,994 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 4/113 +[2025-03-25 07:15:23,011 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 5/113 +[2025-03-25 07:15:23,028 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 6/113 +[2025-03-25 07:15:23,045 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 7/113 +[2025-03-25 07:15:23,062 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 8/113 +[2025-03-25 07:15:23,078 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 9/113 +[2025-03-25 07:15:23,095 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 10/113 +[2025-03-25 07:15:23,112 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 11/113 +[2025-03-25 07:15:23,129 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 12/113 +[2025-03-25 07:15:23,145 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 13/113 +[2025-03-25 07:15:23,162 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 14/113 +[2025-03-25 07:15:23,179 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 15/113 +[2025-03-25 07:15:23,195 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 16/113 +[2025-03-25 07:15:23,212 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 17/113 +[2025-03-25 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07:15:24,310 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 81/113 +[2025-03-25 07:15:24,327 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 82/113 +[2025-03-25 07:15:24,353 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 83/113 +[2025-03-25 07:15:24,370 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 84/113 +[2025-03-25 07:15:24,387 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 85/113 +[2025-03-25 07:15:24,403 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 86/113 +[2025-03-25 07:15:24,421 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 87/113 +[2025-03-25 07:15:24,437 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 88/113 +[2025-03-25 07:15:24,454 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 89/113 +[2025-03-25 07:15:24,472 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 90/113 +[2025-03-25 07:15:24,489 INFO test.py line 201 195048] Test: 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07:15:24,741 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 102/113 +[2025-03-25 07:15:24,768 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 103/113 +[2025-03-25 07:15:24,793 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 104/113 +[2025-03-25 07:15:24,817 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 105/113 +[2025-03-25 07:15:24,841 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 106/113 +[2025-03-25 07:15:24,870 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 107/113 +[2025-03-25 07:15:24,903 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 108/113 +[2025-03-25 07:15:24,938 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 109/113 +[2025-03-25 07:15:24,972 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 110/113 +[2025-03-25 07:15:25,007 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 111/113 +[2025-03-25 07:15:25,039 INFO test.py line 201 195048] Test: 8/78-scene0684_00, Batch: 112/113 +[2025-03-25 07:15:25,088 INFO test.py line 291 195048] Test: scene0684_00 [8/78]-41364 Batch 2.181 (3.889) Accuracy 0.9582 (0.7645) mIoU 0.6337 (0.6981) +[2025-03-25 07:15:25,125 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 0/130 +[2025-03-25 07:15:25,157 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 1/130 +[2025-03-25 07:15:25,197 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 2/130 +[2025-03-25 07:15:25,235 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 3/130 +[2025-03-25 07:15:25,267 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 4/130 +[2025-03-25 07:15:25,299 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 5/130 +[2025-03-25 07:15:25,331 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 6/130 +[2025-03-25 07:15:25,363 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 7/130 +[2025-03-25 07:15:25,396 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 8/130 +[2025-03-25 07:15:25,428 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 9/130 +[2025-03-25 07:15:25,459 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 10/130 +[2025-03-25 07:15:25,491 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 11/130 +[2025-03-25 07:15:25,522 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 12/130 +[2025-03-25 07:15:25,554 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 13/130 +[2025-03-25 07:15:25,586 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 14/130 +[2025-03-25 07:15:25,617 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 15/130 +[2025-03-25 07:15:25,648 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 16/130 +[2025-03-25 07:15:25,680 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 17/130 +[2025-03-25 07:15:25,710 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 18/130 +[2025-03-25 07:15:25,741 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 19/130 +[2025-03-25 07:15:25,771 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 20/130 +[2025-03-25 07:15:25,801 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 21/130 +[2025-03-25 07:15:25,838 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 22/130 +[2025-03-25 07:15:25,868 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 23/130 +[2025-03-25 07:15:25,898 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 24/130 +[2025-03-25 07:15:25,929 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 25/130 +[2025-03-25 07:15:25,960 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 26/130 +[2025-03-25 07:15:25,991 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 27/130 +[2025-03-25 07:15:26,022 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 28/130 +[2025-03-25 07:15:26,052 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 29/130 +[2025-03-25 07:15:26,083 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 30/130 +[2025-03-25 07:15:26,114 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 31/130 +[2025-03-25 07:15:26,147 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 32/130 +[2025-03-25 07:15:26,177 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 33/130 +[2025-03-25 07:15:26,208 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 34/130 +[2025-03-25 07:15:26,241 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 35/130 +[2025-03-25 07:15:26,272 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 36/130 +[2025-03-25 07:15:26,304 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 37/130 +[2025-03-25 07:15:26,334 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 38/130 +[2025-03-25 07:15:26,365 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 39/130 +[2025-03-25 07:15:26,394 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 40/130 +[2025-03-25 07:15:26,425 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 41/130 +[2025-03-25 07:15:26,456 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 42/130 +[2025-03-25 07:15:26,488 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 43/130 +[2025-03-25 07:15:26,519 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 44/130 +[2025-03-25 07:15:26,559 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 45/130 +[2025-03-25 07:15:26,593 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 46/130 +[2025-03-25 07:15:26,625 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 47/130 +[2025-03-25 07:15:26,658 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 48/130 +[2025-03-25 07:15:26,690 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 49/130 +[2025-03-25 07:15:26,722 INFO test.py line 201 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+[2025-03-25 07:15:27,085 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 61/130 +[2025-03-25 07:15:27,118 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 62/130 +[2025-03-25 07:15:27,152 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 63/130 +[2025-03-25 07:15:27,185 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 64/130 +[2025-03-25 07:15:27,218 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 65/130 +[2025-03-25 07:15:27,252 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 66/130 +[2025-03-25 07:15:27,286 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 67/130 +[2025-03-25 07:15:27,318 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 68/130 +[2025-03-25 07:15:27,353 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 69/130 +[2025-03-25 07:15:27,387 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 70/130 +[2025-03-25 07:15:27,420 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 71/130 +[2025-03-25 07:15:27,455 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 72/130 +[2025-03-25 07:15:27,488 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 73/130 +[2025-03-25 07:15:27,521 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 74/130 +[2025-03-25 07:15:27,560 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 75/130 +[2025-03-25 07:15:27,593 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 76/130 +[2025-03-25 07:15:27,626 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 77/130 +[2025-03-25 07:15:27,660 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 78/130 +[2025-03-25 07:15:27,694 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 79/130 +[2025-03-25 07:15:27,727 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 80/130 +[2025-03-25 07:15:27,760 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 81/130 +[2025-03-25 07:15:27,793 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 82/130 +[2025-03-25 07:15:27,826 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 83/130 +[2025-03-25 07:15:27,861 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 84/130 +[2025-03-25 07:15:27,897 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 85/130 +[2025-03-25 07:15:27,937 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 86/130 +[2025-03-25 07:15:27,972 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 87/130 +[2025-03-25 07:15:28,008 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 88/130 +[2025-03-25 07:15:28,042 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 89/130 +[2025-03-25 07:15:28,077 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 90/130 +[2025-03-25 07:15:28,113 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 91/130 +[2025-03-25 07:15:28,148 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 92/130 +[2025-03-25 07:15:28,203 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 93/130 +[2025-03-25 07:15:28,236 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 94/130 +[2025-03-25 07:15:28,270 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 95/130 +[2025-03-25 07:15:28,304 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 96/130 +[2025-03-25 07:15:28,337 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 97/130 +[2025-03-25 07:15:28,371 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 98/130 +[2025-03-25 07:15:28,405 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 99/130 +[2025-03-25 07:15:28,439 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 100/130 +[2025-03-25 07:15:28,475 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 101/130 +[2025-03-25 07:15:28,508 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 102/130 +[2025-03-25 07:15:28,542 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 103/130 +[2025-03-25 07:15:28,576 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 104/130 +[2025-03-25 07:15:28,610 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 105/130 +[2025-03-25 07:15:28,644 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 106/130 +[2025-03-25 07:15:28,678 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 107/130 +[2025-03-25 07:15:28,713 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 108/130 +[2025-03-25 07:15:28,747 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 109/130 +[2025-03-25 07:15:28,781 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 110/130 +[2025-03-25 07:15:28,816 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 111/130 +[2025-03-25 07:15:28,849 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 112/130 +[2025-03-25 07:15:28,882 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 113/130 +[2025-03-25 07:15:28,917 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 114/130 +[2025-03-25 07:15:28,950 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 115/130 +[2025-03-25 07:15:28,984 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 116/130 +[2025-03-25 07:15:29,019 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 117/130 +[2025-03-25 07:15:29,055 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 118/130 +[2025-03-25 07:15:29,088 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 119/130 +[2025-03-25 07:15:29,123 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 120/130 +[2025-03-25 07:15:29,156 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 121/130 +[2025-03-25 07:15:29,190 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 122/130 +[2025-03-25 07:15:29,224 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 123/130 +[2025-03-25 07:15:29,258 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 124/130 +[2025-03-25 07:15:29,290 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 125/130 +[2025-03-25 07:15:29,323 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 126/130 +[2025-03-25 07:15:29,355 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 127/130 +[2025-03-25 07:15:29,408 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 128/130 +[2025-03-25 07:15:29,457 INFO test.py line 201 195048] Test: 9/78-scene0257_00, Batch: 129/130 +[2025-03-25 07:15:29,694 INFO test.py line 291 195048] Test: scene0257_00 [9/78]-180928 Batch 4.606 (3.969) Accuracy 0.8533 (0.7403) mIoU 0.3102 (0.6601) +[2025-03-25 07:15:29,726 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 0/130 +[2025-03-25 07:15:29,752 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 1/130 +[2025-03-25 07:15:29,778 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 2/130 +[2025-03-25 07:15:29,804 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 3/130 +[2025-03-25 07:15:29,830 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 4/130 +[2025-03-25 07:15:29,857 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 5/130 +[2025-03-25 07:15:29,884 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 6/130 +[2025-03-25 07:15:29,912 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 7/130 +[2025-03-25 07:15:29,941 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 8/130 +[2025-03-25 07:15:29,967 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 9/130 +[2025-03-25 07:15:29,995 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 10/130 +[2025-03-25 07:15:30,020 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 11/130 +[2025-03-25 07:15:30,045 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 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+[2025-03-25 07:15:30,872 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 44/130 +[2025-03-25 07:15:30,897 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 45/130 +[2025-03-25 07:15:30,923 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 46/130 +[2025-03-25 07:15:30,948 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 47/130 +[2025-03-25 07:15:30,974 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 48/130 +[2025-03-25 07:15:30,998 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 49/130 +[2025-03-25 07:15:31,024 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 50/130 +[2025-03-25 07:15:31,049 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 51/130 +[2025-03-25 07:15:31,075 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 52/130 +[2025-03-25 07:15:31,100 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 53/130 +[2025-03-25 07:15:31,125 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 54/130 +[2025-03-25 07:15:31,150 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 55/130 +[2025-03-25 07:15:31,175 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 56/130 +[2025-03-25 07:15:31,201 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 57/130 +[2025-03-25 07:15:31,226 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 58/130 +[2025-03-25 07:15:31,251 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 59/130 +[2025-03-25 07:15:31,277 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 60/130 +[2025-03-25 07:15:31,302 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 61/130 +[2025-03-25 07:15:31,327 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 62/130 +[2025-03-25 07:15:31,353 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 63/130 +[2025-03-25 07:15:31,378 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:15:31,658 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 75/130 +[2025-03-25 07:15:31,685 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 76/130 +[2025-03-25 07:15:31,722 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 77/130 +[2025-03-25 07:15:31,755 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 78/130 +[2025-03-25 07:15:31,791 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 79/130 +[2025-03-25 07:15:31,825 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 80/130 +[2025-03-25 07:15:31,860 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 81/130 +[2025-03-25 07:15:31,898 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 82/130 +[2025-03-25 07:15:31,934 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 83/130 +[2025-03-25 07:15:31,972 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 84/130 +[2025-03-25 07:15:32,010 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 85/130 +[2025-03-25 07:15:32,048 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 86/130 +[2025-03-25 07:15:32,094 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 87/130 +[2025-03-25 07:15:32,132 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 88/130 +[2025-03-25 07:15:32,169 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 89/130 +[2025-03-25 07:15:32,210 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 90/130 +[2025-03-25 07:15:32,264 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 91/130 +[2025-03-25 07:15:32,307 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 92/130 +[2025-03-25 07:15:32,342 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 93/130 +[2025-03-25 07:15:32,378 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 94/130 +[2025-03-25 07:15:32,415 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:15:32,944 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 106/130 +[2025-03-25 07:15:32,971 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 107/130 +[2025-03-25 07:15:32,998 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 108/130 +[2025-03-25 07:15:33,024 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 109/130 +[2025-03-25 07:15:33,051 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 110/130 +[2025-03-25 07:15:33,077 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 111/130 +[2025-03-25 07:15:33,103 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 112/130 +[2025-03-25 07:15:33,129 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 113/130 +[2025-03-25 07:15:33,155 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 114/130 +[2025-03-25 07:15:33,181 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 115/130 +[2025-03-25 07:15:33,207 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 116/130 +[2025-03-25 07:15:33,234 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 117/130 +[2025-03-25 07:15:33,261 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 118/130 +[2025-03-25 07:15:33,287 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 119/130 +[2025-03-25 07:15:33,317 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 120/130 +[2025-03-25 07:15:33,343 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 121/130 +[2025-03-25 07:15:33,370 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 122/130 +[2025-03-25 07:15:33,397 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 123/130 +[2025-03-25 07:15:33,423 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 124/130 +[2025-03-25 07:15:33,450 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 125/130 +[2025-03-25 07:15:33,488 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 126/130 +[2025-03-25 07:15:33,522 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 127/130 +[2025-03-25 07:15:33,556 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 128/130 +[2025-03-25 07:15:33,589 INFO test.py line 201 195048] Test: 10/78-scene0164_01, Batch: 129/130 +[2025-03-25 07:15:33,683 INFO test.py line 291 195048] Test: scene0164_01 [10/78]-88073 Batch 3.988 (3.970) Accuracy 0.8882 (0.7994) mIoU 0.5403 (0.7245) +[2025-03-25 07:15:33,745 INFO test.py line 201 195048] Test: 11/78-scene0030_00, Batch: 0/130 +[2025-03-25 07:15:33,797 INFO test.py line 201 195048] Test: 11/78-scene0030_00, Batch: 1/130 +[2025-03-25 07:15:33,854 INFO test.py line 201 195048] Test: 11/78-scene0030_00, Batch: 2/130 +[2025-03-25 07:15:33,908 INFO test.py line 201 195048] Test: 11/78-scene0030_00, Batch: 3/130 +[2025-03-25 07:15:33,957 INFO test.py line 201 195048] Test: 11/78-scene0030_00, Batch: 4/130 +[2025-03-25 07:15:34,009 INFO test.py line 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201 195048] Test: 11/78-scene0030_00, Batch: 129/130 +[2025-03-25 07:15:39,850 INFO test.py line 291 195048] Test: scene0030_00 [11/78]-293811 Batch 6.166 (4.170) Accuracy 0.9171 (0.8513) mIoU 0.4783 (0.7739) +[2025-03-25 07:15:39,883 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 0/143 +[2025-03-25 07:15:39,911 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 1/143 +[2025-03-25 07:15:39,940 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 2/143 +[2025-03-25 07:15:39,968 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 3/143 +[2025-03-25 07:15:39,996 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 4/143 +[2025-03-25 07:15:40,024 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 5/143 +[2025-03-25 07:15:40,054 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 6/143 +[2025-03-25 07:15:40,083 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 7/143 +[2025-03-25 07:15:40,111 INFO 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+[2025-03-25 07:15:40,672 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 29/143 +[2025-03-25 07:15:40,704 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 30/143 +[2025-03-25 07:15:40,733 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 31/143 +[2025-03-25 07:15:40,757 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 32/143 +[2025-03-25 07:15:40,780 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 33/143 +[2025-03-25 07:15:40,805 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 34/143 +[2025-03-25 07:15:40,829 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 35/143 +[2025-03-25 07:15:40,852 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 36/143 +[2025-03-25 07:15:40,876 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 37/143 +[2025-03-25 07:15:40,900 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 38/143 +[2025-03-25 07:15:40,932 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 39/143 +[2025-03-25 07:15:40,957 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 40/143 +[2025-03-25 07:15:40,981 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 41/143 +[2025-03-25 07:15:41,006 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 42/143 +[2025-03-25 07:15:41,030 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 43/143 +[2025-03-25 07:15:41,054 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 44/143 +[2025-03-25 07:15:41,078 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 45/143 +[2025-03-25 07:15:41,100 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 46/143 +[2025-03-25 07:15:41,123 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 47/143 +[2025-03-25 07:15:41,147 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 48/143 +[2025-03-25 07:15:41,170 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:15:41,438 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 60/143 +[2025-03-25 07:15:41,461 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 61/143 +[2025-03-25 07:15:41,484 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 62/143 +[2025-03-25 07:15:41,509 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 63/143 +[2025-03-25 07:15:41,533 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 64/143 +[2025-03-25 07:15:41,558 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 65/143 +[2025-03-25 07:15:41,582 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 66/143 +[2025-03-25 07:15:41,606 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 67/143 +[2025-03-25 07:15:41,630 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 68/143 +[2025-03-25 07:15:41,654 INFO test.py line 201 195048] Test: 12/78-scene0088_01, Batch: 69/143 +[2025-03-25 07:15:41,678 INFO test.py 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201 195048] Test: 12/78-scene0088_01, Batch: 142/143 +[2025-03-25 07:15:43,657 INFO test.py line 291 195048] Test: scene0088_01 [12/78]-145650 Batch 3.806 (4.140) Accuracy 0.8005 (0.8506) mIoU 0.4931 (0.7684) +[2025-03-25 07:15:43,681 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 0/134 +[2025-03-25 07:15:43,705 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 1/134 +[2025-03-25 07:15:43,727 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 2/134 +[2025-03-25 07:15:43,749 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 3/134 +[2025-03-25 07:15:43,771 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 4/134 +[2025-03-25 07:15:43,793 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 5/134 +[2025-03-25 07:15:43,814 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 6/134 +[2025-03-25 07:15:43,836 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 7/134 +[2025-03-25 07:15:43,858 INFO 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+[2025-03-25 07:15:45,618 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 91/134 +[2025-03-25 07:15:45,640 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 92/134 +[2025-03-25 07:15:45,663 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 93/134 +[2025-03-25 07:15:45,686 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 94/134 +[2025-03-25 07:15:45,708 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 95/134 +[2025-03-25 07:15:45,730 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 96/134 +[2025-03-25 07:15:45,752 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 97/134 +[2025-03-25 07:15:45,773 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 98/134 +[2025-03-25 07:15:45,795 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 99/134 +[2025-03-25 07:15:45,817 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 100/134 +[2025-03-25 07:15:45,838 INFO test.py 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07:15:46,727 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 132/134 +[2025-03-25 07:15:46,753 INFO test.py line 201 195048] Test: 13/78-scene0690_01, Batch: 133/134 +[2025-03-25 07:15:46,877 INFO test.py line 291 195048] Test: scene0690_01 [13/78]-109935 Batch 3.220 (4.069) Accuracy 0.6773 (0.8383) mIoU 0.3461 (0.7499) +[2025-03-25 07:15:46,912 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 0/126 +[2025-03-25 07:15:46,941 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 1/126 +[2025-03-25 07:15:46,970 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 2/126 +[2025-03-25 07:15:46,998 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 3/126 +[2025-03-25 07:15:47,027 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 4/126 +[2025-03-25 07:15:47,056 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 5/126 +[2025-03-25 07:15:47,085 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 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+[2025-03-25 07:15:48,042 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 38/126 +[2025-03-25 07:15:48,072 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 39/126 +[2025-03-25 07:15:48,101 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 40/126 +[2025-03-25 07:15:48,131 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 41/126 +[2025-03-25 07:15:48,172 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 42/126 +[2025-03-25 07:15:48,211 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 43/126 +[2025-03-25 07:15:48,251 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 44/126 +[2025-03-25 07:15:48,287 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 45/126 +[2025-03-25 07:15:48,324 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 46/126 +[2025-03-25 07:15:48,362 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 47/126 +[2025-03-25 07:15:48,399 INFO test.py 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+[2025-03-25 07:15:49,308 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 69/126 +[2025-03-25 07:15:49,337 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 70/126 +[2025-03-25 07:15:49,365 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 71/126 +[2025-03-25 07:15:49,392 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 72/126 +[2025-03-25 07:15:49,420 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 73/126 +[2025-03-25 07:15:49,447 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 74/126 +[2025-03-25 07:15:49,474 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 75/126 +[2025-03-25 07:15:49,500 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 76/126 +[2025-03-25 07:15:49,526 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 77/126 +[2025-03-25 07:15:49,553 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 78/126 +[2025-03-25 07:15:49,581 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 79/126 +[2025-03-25 07:15:49,609 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 80/126 +[2025-03-25 07:15:49,636 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 81/126 +[2025-03-25 07:15:49,664 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 82/126 +[2025-03-25 07:15:49,693 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 83/126 +[2025-03-25 07:15:49,720 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 84/126 +[2025-03-25 07:15:49,748 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 85/126 +[2025-03-25 07:15:49,780 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 86/126 +[2025-03-25 07:15:49,808 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 87/126 +[2025-03-25 07:15:49,836 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 88/126 +[2025-03-25 07:15:49,865 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:15:50,170 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 100/126 +[2025-03-25 07:15:50,198 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 101/126 +[2025-03-25 07:15:50,226 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 102/126 +[2025-03-25 07:15:50,254 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 103/126 +[2025-03-25 07:15:50,282 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 104/126 +[2025-03-25 07:15:50,310 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 105/126 +[2025-03-25 07:15:50,338 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 106/126 +[2025-03-25 07:15:50,366 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 107/126 +[2025-03-25 07:15:50,394 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 108/126 +[2025-03-25 07:15:50,423 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 109/126 +[2025-03-25 07:15:50,451 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 110/126 +[2025-03-25 07:15:50,480 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 111/126 +[2025-03-25 07:15:50,509 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 112/126 +[2025-03-25 07:15:50,537 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 113/126 +[2025-03-25 07:15:50,566 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 114/126 +[2025-03-25 07:15:50,594 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 115/126 +[2025-03-25 07:15:50,621 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 116/126 +[2025-03-25 07:15:50,650 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 117/126 +[2025-03-25 07:15:50,677 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 118/126 +[2025-03-25 07:15:50,705 INFO test.py line 201 195048] Test: 14/78-scene0598_00, Batch: 119/126 +[2025-03-25 07:15:50,732 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:15:53,280 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 76/138 +[2025-03-25 07:15:53,309 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 77/138 +[2025-03-25 07:15:53,340 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 78/138 +[2025-03-25 07:15:53,368 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 79/138 +[2025-03-25 07:15:53,396 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 80/138 +[2025-03-25 07:15:53,426 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 81/138 +[2025-03-25 07:15:53,455 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 82/138 +[2025-03-25 07:15:53,483 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 83/138 +[2025-03-25 07:15:53,513 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 84/138 +[2025-03-25 07:15:53,544 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 85/138 +[2025-03-25 07:15:53,574 INFO test.py 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+[2025-03-25 07:15:54,197 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 107/138 +[2025-03-25 07:15:54,227 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 108/138 +[2025-03-25 07:15:54,256 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 109/138 +[2025-03-25 07:15:54,288 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 110/138 +[2025-03-25 07:15:54,317 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 111/138 +[2025-03-25 07:15:54,345 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 112/138 +[2025-03-25 07:15:54,374 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 113/138 +[2025-03-25 07:15:54,403 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 114/138 +[2025-03-25 07:15:54,432 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 115/138 +[2025-03-25 07:15:54,466 INFO test.py line 201 195048] Test: 15/78-scene0695_00, Batch: 116/138 +[2025-03-25 07:15:54,494 INFO 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137/138 +[2025-03-25 07:15:55,211 INFO test.py line 291 195048] Test: scene0695_00 [15/78]-133418 Batch 4.176 (4.082) Accuracy 0.8389 (0.8091) mIoU 0.4984 (0.7169) +[2025-03-25 07:15:55,245 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 0/122 +[2025-03-25 07:15:55,270 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 1/122 +[2025-03-25 07:15:55,295 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 2/122 +[2025-03-25 07:15:55,320 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 3/122 +[2025-03-25 07:15:55,346 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 4/122 +[2025-03-25 07:15:55,370 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 5/122 +[2025-03-25 07:15:55,396 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 6/122 +[2025-03-25 07:15:55,422 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 7/122 +[2025-03-25 07:15:55,455 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:15:55,749 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 19/122 +[2025-03-25 07:15:55,775 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 20/122 +[2025-03-25 07:15:55,802 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 21/122 +[2025-03-25 07:15:55,830 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 22/122 +[2025-03-25 07:15:55,857 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 23/122 +[2025-03-25 07:15:55,883 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 24/122 +[2025-03-25 07:15:55,908 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 25/122 +[2025-03-25 07:15:55,936 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 26/122 +[2025-03-25 07:15:55,963 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 27/122 +[2025-03-25 07:15:55,989 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 28/122 +[2025-03-25 07:15:56,016 INFO test.py 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+[2025-03-25 07:15:57,536 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 81/122 +[2025-03-25 07:15:57,560 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 82/122 +[2025-03-25 07:15:57,584 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 83/122 +[2025-03-25 07:15:57,608 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 84/122 +[2025-03-25 07:15:57,633 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 85/122 +[2025-03-25 07:15:57,657 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 86/122 +[2025-03-25 07:15:57,681 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 87/122 +[2025-03-25 07:15:57,706 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 88/122 +[2025-03-25 07:15:57,730 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 89/122 +[2025-03-25 07:15:57,755 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 90/122 +[2025-03-25 07:15:57,779 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 91/122 +[2025-03-25 07:15:57,804 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 92/122 +[2025-03-25 07:15:57,828 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 93/122 +[2025-03-25 07:15:57,856 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 94/122 +[2025-03-25 07:15:57,880 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 95/122 +[2025-03-25 07:15:57,904 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 96/122 +[2025-03-25 07:15:57,929 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 97/122 +[2025-03-25 07:15:57,953 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 98/122 +[2025-03-25 07:15:57,977 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 99/122 +[2025-03-25 07:15:58,001 INFO test.py line 201 195048] Test: 16/78-scene0342_00, Batch: 100/122 +[2025-03-25 07:15:58,024 INFO test.py line 201 195048] Test: 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07:15:58,739 INFO test.py line 291 195048] Test: scene0342_00 [16/78]-89958 Batch 3.528 (4.047) Accuracy 0.9828 (0.8097) mIoU 0.4845 (0.7176) +[2025-03-25 07:15:58,797 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 0/152 +[2025-03-25 07:15:58,839 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 1/152 +[2025-03-25 07:15:58,884 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 2/152 +[2025-03-25 07:15:58,928 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 3/152 +[2025-03-25 07:15:58,974 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 4/152 +[2025-03-25 07:15:59,020 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 5/152 +[2025-03-25 07:15:59,067 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 6/152 +[2025-03-25 07:15:59,114 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 7/152 +[2025-03-25 07:15:59,154 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 8/152 +[2025-03-25 07:15:59,195 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 9/152 +[2025-03-25 07:15:59,234 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 10/152 +[2025-03-25 07:15:59,286 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 11/152 +[2025-03-25 07:15:59,324 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 12/152 +[2025-03-25 07:15:59,363 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 13/152 +[2025-03-25 07:15:59,400 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 14/152 +[2025-03-25 07:15:59,438 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 15/152 +[2025-03-25 07:15:59,476 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 16/152 +[2025-03-25 07:15:59,514 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 17/152 +[2025-03-25 07:15:59,550 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 18/152 +[2025-03-25 07:15:59,589 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 19/152 +[2025-03-25 07:15:59,627 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 20/152 +[2025-03-25 07:15:59,665 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 21/152 +[2025-03-25 07:15:59,703 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 22/152 +[2025-03-25 07:15:59,743 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 23/152 +[2025-03-25 07:15:59,782 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 24/152 +[2025-03-25 07:15:59,821 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 25/152 +[2025-03-25 07:15:59,861 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 26/152 +[2025-03-25 07:15:59,899 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 27/152 +[2025-03-25 07:15:59,942 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 28/152 +[2025-03-25 07:15:59,981 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:00,424 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 40/152 +[2025-03-25 07:16:00,463 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 41/152 +[2025-03-25 07:16:00,500 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 42/152 +[2025-03-25 07:16:00,538 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 43/152 +[2025-03-25 07:16:00,576 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 44/152 +[2025-03-25 07:16:00,615 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 45/152 +[2025-03-25 07:16:00,653 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 46/152 +[2025-03-25 07:16:00,690 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 47/152 +[2025-03-25 07:16:00,733 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 48/152 +[2025-03-25 07:16:00,769 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 49/152 +[2025-03-25 07:16:00,804 INFO test.py 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line 201 195048] Test: 17/78-scene0618_00, Batch: 81/152 +[2025-03-25 07:16:01,942 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 82/152 +[2025-03-25 07:16:01,978 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 83/152 +[2025-03-25 07:16:02,015 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 84/152 +[2025-03-25 07:16:02,050 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 85/152 +[2025-03-25 07:16:02,085 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 86/152 +[2025-03-25 07:16:02,121 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 87/152 +[2025-03-25 07:16:02,156 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 88/152 +[2025-03-25 07:16:02,195 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 89/152 +[2025-03-25 07:16:02,230 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 90/152 +[2025-03-25 07:16:02,266 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:02,690 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 102/152 +[2025-03-25 07:16:02,728 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 103/152 +[2025-03-25 07:16:02,766 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 104/152 +[2025-03-25 07:16:02,804 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 105/152 +[2025-03-25 07:16:02,842 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 106/152 +[2025-03-25 07:16:02,880 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 107/152 +[2025-03-25 07:16:02,917 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 108/152 +[2025-03-25 07:16:02,955 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 109/152 +[2025-03-25 07:16:02,992 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 110/152 +[2025-03-25 07:16:03,029 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 111/152 +[2025-03-25 07:16:03,067 INFO 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07:16:04,266 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 143/152 +[2025-03-25 07:16:04,303 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 144/152 +[2025-03-25 07:16:04,341 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 145/152 +[2025-03-25 07:16:04,376 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 146/152 +[2025-03-25 07:16:04,410 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 147/152 +[2025-03-25 07:16:04,444 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 148/152 +[2025-03-25 07:16:04,476 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 149/152 +[2025-03-25 07:16:04,509 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 150/152 +[2025-03-25 07:16:04,541 INFO test.py line 201 195048] Test: 17/78-scene0618_00, Batch: 151/152 +[2025-03-25 07:16:04,729 INFO test.py line 291 195048] Test: scene0618_00 [17/78]-232740 Batch 5.989 (4.162) Accuracy 0.9232 (0.8119) mIoU 0.5104 (0.7214) +[2025-03-25 07:16:04,761 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 0/139 +[2025-03-25 07:16:04,787 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 1/139 +[2025-03-25 07:16:04,812 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 2/139 +[2025-03-25 07:16:04,837 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 3/139 +[2025-03-25 07:16:04,862 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 4/139 +[2025-03-25 07:16:04,887 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 5/139 +[2025-03-25 07:16:04,912 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 6/139 +[2025-03-25 07:16:04,938 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 7/139 +[2025-03-25 07:16:04,964 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 8/139 +[2025-03-25 07:16:04,991 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 9/139 +[2025-03-25 07:16:05,017 INFO 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+[2025-03-25 07:16:05,675 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 31/139 +[2025-03-25 07:16:05,709 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 32/139 +[2025-03-25 07:16:05,744 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 33/139 +[2025-03-25 07:16:05,778 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 34/139 +[2025-03-25 07:16:05,811 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 35/139 +[2025-03-25 07:16:05,847 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 36/139 +[2025-03-25 07:16:05,894 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 37/139 +[2025-03-25 07:16:05,944 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 38/139 +[2025-03-25 07:16:05,974 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 39/139 +[2025-03-25 07:16:06,003 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 40/139 +[2025-03-25 07:16:06,034 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 41/139 +[2025-03-25 07:16:06,064 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 42/139 +[2025-03-25 07:16:06,094 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 43/139 +[2025-03-25 07:16:06,124 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 44/139 +[2025-03-25 07:16:06,154 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 45/139 +[2025-03-25 07:16:06,183 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 46/139 +[2025-03-25 07:16:06,219 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 47/139 +[2025-03-25 07:16:06,257 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 48/139 +[2025-03-25 07:16:06,294 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 49/139 +[2025-03-25 07:16:06,332 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 50/139 +[2025-03-25 07:16:06,369 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:06,758 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 62/139 +[2025-03-25 07:16:06,792 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 63/139 +[2025-03-25 07:16:06,824 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 64/139 +[2025-03-25 07:16:06,857 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 65/139 +[2025-03-25 07:16:06,890 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 66/139 +[2025-03-25 07:16:06,923 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 67/139 +[2025-03-25 07:16:06,970 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 68/139 +[2025-03-25 07:16:07,016 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 69/139 +[2025-03-25 07:16:07,055 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 70/139 +[2025-03-25 07:16:07,093 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 71/139 +[2025-03-25 07:16:07,131 INFO test.py 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07:16:09,039 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 134/139 +[2025-03-25 07:16:09,068 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 135/139 +[2025-03-25 07:16:09,098 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 136/139 +[2025-03-25 07:16:09,127 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 137/139 +[2025-03-25 07:16:09,156 INFO test.py line 201 195048] Test: 18/78-scene0695_02, Batch: 138/139 +[2025-03-25 07:16:09,340 INFO test.py line 291 195048] Test: scene0695_02 [18/78]-157025 Batch 4.611 (4.187) Accuracy 0.9072 (0.8155) mIoU 0.4536 (0.7262) +[2025-03-25 07:16:09,383 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 0/156 +[2025-03-25 07:16:09,421 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 1/156 +[2025-03-25 07:16:09,459 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 2/156 +[2025-03-25 07:16:09,497 INFO test.py line 201 195048] Test: 19/78-scene0629_00, 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+[2025-03-25 07:16:10,727 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 35/156 +[2025-03-25 07:16:10,765 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 36/156 +[2025-03-25 07:16:10,803 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 37/156 +[2025-03-25 07:16:10,842 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 38/156 +[2025-03-25 07:16:10,880 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 39/156 +[2025-03-25 07:16:10,919 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 40/156 +[2025-03-25 07:16:10,958 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 41/156 +[2025-03-25 07:16:10,998 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 42/156 +[2025-03-25 07:16:11,037 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 43/156 +[2025-03-25 07:16:11,081 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 44/156 +[2025-03-25 07:16:11,124 INFO test.py 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+[2025-03-25 07:16:11,969 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 66/156 +[2025-03-25 07:16:12,007 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 67/156 +[2025-03-25 07:16:12,044 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 68/156 +[2025-03-25 07:16:12,079 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 69/156 +[2025-03-25 07:16:12,113 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 70/156 +[2025-03-25 07:16:12,157 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 71/156 +[2025-03-25 07:16:12,189 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 72/156 +[2025-03-25 07:16:12,221 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 73/156 +[2025-03-25 07:16:12,253 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 74/156 +[2025-03-25 07:16:12,285 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 75/156 +[2025-03-25 07:16:12,317 INFO test.py 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+[2025-03-25 07:16:13,145 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 97/156 +[2025-03-25 07:16:13,188 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 98/156 +[2025-03-25 07:16:13,242 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 99/156 +[2025-03-25 07:16:13,284 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 100/156 +[2025-03-25 07:16:13,323 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 101/156 +[2025-03-25 07:16:13,364 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 102/156 +[2025-03-25 07:16:13,403 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 103/156 +[2025-03-25 07:16:13,443 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 104/156 +[2025-03-25 07:16:13,493 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 105/156 +[2025-03-25 07:16:13,532 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 106/156 +[2025-03-25 07:16:13,571 INFO 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07:16:14,872 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 138/156 +[2025-03-25 07:16:14,916 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 139/156 +[2025-03-25 07:16:14,960 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 140/156 +[2025-03-25 07:16:15,004 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 141/156 +[2025-03-25 07:16:15,046 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 142/156 +[2025-03-25 07:16:15,088 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 143/156 +[2025-03-25 07:16:15,132 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 144/156 +[2025-03-25 07:16:15,173 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 145/156 +[2025-03-25 07:16:15,225 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 146/156 +[2025-03-25 07:16:15,266 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 147/156 +[2025-03-25 07:16:15,307 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 148/156 +[2025-03-25 07:16:15,347 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 149/156 +[2025-03-25 07:16:15,389 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 150/156 +[2025-03-25 07:16:15,430 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 151/156 +[2025-03-25 07:16:15,472 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 152/156 +[2025-03-25 07:16:15,513 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 153/156 +[2025-03-25 07:16:15,554 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 154/156 +[2025-03-25 07:16:15,595 INFO test.py line 201 195048] Test: 19/78-scene0629_00, Batch: 155/156 +[2025-03-25 07:16:15,870 INFO test.py line 291 195048] Test: scene0629_00 [19/78]-255083 Batch 6.529 (4.310) Accuracy 0.8595 (0.8177) mIoU 0.4322 (0.7233) +[2025-03-25 07:16:15,905 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 0/125 +[2025-03-25 07:16:15,936 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 1/125 +[2025-03-25 07:16:15,965 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 2/125 +[2025-03-25 07:16:15,992 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 3/125 +[2025-03-25 07:16:16,021 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 4/125 +[2025-03-25 07:16:16,049 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 5/125 +[2025-03-25 07:16:16,078 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 6/125 +[2025-03-25 07:16:16,106 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 7/125 +[2025-03-25 07:16:16,133 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 8/125 +[2025-03-25 07:16:16,159 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 9/125 +[2025-03-25 07:16:16,188 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 10/125 +[2025-03-25 07:16:16,214 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:16,515 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 22/125 +[2025-03-25 07:16:16,542 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 23/125 +[2025-03-25 07:16:16,570 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 24/125 +[2025-03-25 07:16:16,598 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 25/125 +[2025-03-25 07:16:16,625 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 26/125 +[2025-03-25 07:16:16,651 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 27/125 +[2025-03-25 07:16:16,679 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 28/125 +[2025-03-25 07:16:16,707 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 29/125 +[2025-03-25 07:16:16,733 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 30/125 +[2025-03-25 07:16:16,760 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 31/125 +[2025-03-25 07:16:16,789 INFO test.py 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+[2025-03-25 07:16:17,334 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 53/125 +[2025-03-25 07:16:17,358 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 54/125 +[2025-03-25 07:16:17,382 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 55/125 +[2025-03-25 07:16:17,407 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 56/125 +[2025-03-25 07:16:17,430 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 57/125 +[2025-03-25 07:16:17,453 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 58/125 +[2025-03-25 07:16:17,478 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 59/125 +[2025-03-25 07:16:17,501 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 60/125 +[2025-03-25 07:16:17,524 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 61/125 +[2025-03-25 07:16:17,548 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 62/125 +[2025-03-25 07:16:17,571 INFO test.py 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+[2025-03-25 07:16:18,107 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 84/125 +[2025-03-25 07:16:18,132 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 85/125 +[2025-03-25 07:16:18,158 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 86/125 +[2025-03-25 07:16:18,184 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 87/125 +[2025-03-25 07:16:18,209 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 88/125 +[2025-03-25 07:16:18,239 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 89/125 +[2025-03-25 07:16:18,264 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 90/125 +[2025-03-25 07:16:18,290 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 91/125 +[2025-03-25 07:16:18,315 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 92/125 +[2025-03-25 07:16:18,340 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 93/125 +[2025-03-25 07:16:18,366 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 94/125 +[2025-03-25 07:16:18,393 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 95/125 +[2025-03-25 07:16:18,418 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 96/125 +[2025-03-25 07:16:18,443 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 97/125 +[2025-03-25 07:16:18,469 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 98/125 +[2025-03-25 07:16:18,494 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 99/125 +[2025-03-25 07:16:18,520 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 100/125 +[2025-03-25 07:16:18,545 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 101/125 +[2025-03-25 07:16:18,570 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 102/125 +[2025-03-25 07:16:18,596 INFO test.py line 201 195048] Test: 20/78-scene0609_01, Batch: 103/125 +[2025-03-25 07:16:18,621 INFO test.py line 201 195048] Test: 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07:16:19,281 INFO test.py line 291 195048] Test: scene0609_01 [20/78]-115550 Batch 3.411 (4.265) Accuracy 0.8318 (0.8098) mIoU 0.3976 (0.7026) +[2025-03-25 07:16:19,324 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 0/130 +[2025-03-25 07:16:19,356 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 1/130 +[2025-03-25 07:16:19,390 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 2/130 +[2025-03-25 07:16:19,423 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 3/130 +[2025-03-25 07:16:19,456 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 4/130 +[2025-03-25 07:16:19,489 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 5/130 +[2025-03-25 07:16:19,523 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 6/130 +[2025-03-25 07:16:19,556 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 7/130 +[2025-03-25 07:16:19,588 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 8/130 +[2025-03-25 07:16:19,621 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 9/130 +[2025-03-25 07:16:19,654 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 10/130 +[2025-03-25 07:16:19,686 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 11/130 +[2025-03-25 07:16:19,719 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 12/130 +[2025-03-25 07:16:19,757 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 13/130 +[2025-03-25 07:16:19,796 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 14/130 +[2025-03-25 07:16:19,833 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 15/130 +[2025-03-25 07:16:19,883 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 16/130 +[2025-03-25 07:16:19,925 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 17/130 +[2025-03-25 07:16:19,961 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 18/130 +[2025-03-25 07:16:19,997 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 19/130 +[2025-03-25 07:16:20,033 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 20/130 +[2025-03-25 07:16:20,068 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 21/130 +[2025-03-25 07:16:20,105 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 22/130 +[2025-03-25 07:16:20,140 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 23/130 +[2025-03-25 07:16:20,173 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 24/130 +[2025-03-25 07:16:20,205 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 25/130 +[2025-03-25 07:16:20,239 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 26/130 +[2025-03-25 07:16:20,272 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 27/130 +[2025-03-25 07:16:20,304 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 28/130 +[2025-03-25 07:16:20,337 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:20,713 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 40/130 +[2025-03-25 07:16:20,746 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 41/130 +[2025-03-25 07:16:20,779 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 42/130 +[2025-03-25 07:16:20,812 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 43/130 +[2025-03-25 07:16:20,844 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 44/130 +[2025-03-25 07:16:20,878 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 45/130 +[2025-03-25 07:16:20,916 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 46/130 +[2025-03-25 07:16:20,948 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 47/130 +[2025-03-25 07:16:20,980 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 48/130 +[2025-03-25 07:16:21,020 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 49/130 +[2025-03-25 07:16:21,060 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 50/130 +[2025-03-25 07:16:21,099 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 51/130 +[2025-03-25 07:16:21,136 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 52/130 +[2025-03-25 07:16:21,175 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 53/130 +[2025-03-25 07:16:21,214 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 54/130 +[2025-03-25 07:16:21,250 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 55/130 +[2025-03-25 07:16:21,288 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 56/130 +[2025-03-25 07:16:21,328 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 57/130 +[2025-03-25 07:16:21,366 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 58/130 +[2025-03-25 07:16:21,402 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 59/130 +[2025-03-25 07:16:21,439 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:21,811 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 71/130 +[2025-03-25 07:16:21,844 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 72/130 +[2025-03-25 07:16:21,875 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 73/130 +[2025-03-25 07:16:21,908 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 74/130 +[2025-03-25 07:16:21,941 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 75/130 +[2025-03-25 07:16:21,973 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 76/130 +[2025-03-25 07:16:22,006 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 77/130 +[2025-03-25 07:16:22,040 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 78/130 +[2025-03-25 07:16:22,073 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 79/130 +[2025-03-25 07:16:22,106 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 80/130 +[2025-03-25 07:16:22,140 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 81/130 +[2025-03-25 07:16:22,174 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 82/130 +[2025-03-25 07:16:22,210 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 83/130 +[2025-03-25 07:16:22,247 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 84/130 +[2025-03-25 07:16:22,286 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 85/130 +[2025-03-25 07:16:22,323 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 86/130 +[2025-03-25 07:16:22,361 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 87/130 +[2025-03-25 07:16:22,400 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 88/130 +[2025-03-25 07:16:22,439 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 89/130 +[2025-03-25 07:16:22,481 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 90/130 +[2025-03-25 07:16:22,519 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:22,944 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 102/130 +[2025-03-25 07:16:22,982 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 103/130 +[2025-03-25 07:16:23,019 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 104/130 +[2025-03-25 07:16:23,057 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 105/130 +[2025-03-25 07:16:23,095 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 106/130 +[2025-03-25 07:16:23,132 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 107/130 +[2025-03-25 07:16:23,169 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 108/130 +[2025-03-25 07:16:23,207 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 109/130 +[2025-03-25 07:16:23,243 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 110/130 +[2025-03-25 07:16:23,282 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 111/130 +[2025-03-25 07:16:23,319 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 112/130 +[2025-03-25 07:16:23,356 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 113/130 +[2025-03-25 07:16:23,399 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 114/130 +[2025-03-25 07:16:23,436 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 115/130 +[2025-03-25 07:16:23,474 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 116/130 +[2025-03-25 07:16:23,511 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 117/130 +[2025-03-25 07:16:23,548 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 118/130 +[2025-03-25 07:16:23,585 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 119/130 +[2025-03-25 07:16:23,622 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 120/130 +[2025-03-25 07:16:23,658 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 121/130 +[2025-03-25 07:16:23,696 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 122/130 +[2025-03-25 07:16:23,732 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 123/130 +[2025-03-25 07:16:23,772 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 124/130 +[2025-03-25 07:16:23,809 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 125/130 +[2025-03-25 07:16:23,846 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 126/130 +[2025-03-25 07:16:23,892 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 127/130 +[2025-03-25 07:16:23,927 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 128/130 +[2025-03-25 07:16:23,964 INFO test.py line 201 195048] Test: 21/78-scene0430_00, Batch: 129/130 +[2025-03-25 07:16:24,187 INFO test.py line 291 195048] Test: scene0430_00 [21/78]-210249 Batch 4.905 (4.295) Accuracy 0.9596 (0.8121) mIoU 0.5401 (0.7051) +[2025-03-25 07:16:24,233 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 0/125 +[2025-03-25 07:16:24,273 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 1/125 +[2025-03-25 07:16:24,312 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 2/125 +[2025-03-25 07:16:24,361 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 3/125 +[2025-03-25 07:16:24,400 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 4/125 +[2025-03-25 07:16:24,440 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 5/125 +[2025-03-25 07:16:24,490 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 6/125 +[2025-03-25 07:16:24,531 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 7/125 +[2025-03-25 07:16:24,572 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 8/125 +[2025-03-25 07:16:24,614 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 9/125 +[2025-03-25 07:16:24,655 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 10/125 +[2025-03-25 07:16:24,696 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:25,146 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 22/125 +[2025-03-25 07:16:25,187 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 23/125 +[2025-03-25 07:16:25,228 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 24/125 +[2025-03-25 07:16:25,267 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 25/125 +[2025-03-25 07:16:25,309 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 26/125 +[2025-03-25 07:16:25,353 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 27/125 +[2025-03-25 07:16:25,394 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 28/125 +[2025-03-25 07:16:25,435 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 29/125 +[2025-03-25 07:16:25,474 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 30/125 +[2025-03-25 07:16:25,522 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 31/125 +[2025-03-25 07:16:25,561 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 32/125 +[2025-03-25 07:16:25,601 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 33/125 +[2025-03-25 07:16:25,640 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 34/125 +[2025-03-25 07:16:25,682 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 35/125 +[2025-03-25 07:16:25,722 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 36/125 +[2025-03-25 07:16:25,761 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 37/125 +[2025-03-25 07:16:25,801 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 38/125 +[2025-03-25 07:16:25,839 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 39/125 +[2025-03-25 07:16:25,878 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 40/125 +[2025-03-25 07:16:25,917 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 41/125 +[2025-03-25 07:16:25,955 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:26,385 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 53/125 +[2025-03-25 07:16:26,431 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 54/125 +[2025-03-25 07:16:26,470 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 55/125 +[2025-03-25 07:16:26,508 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 56/125 +[2025-03-25 07:16:26,545 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 57/125 +[2025-03-25 07:16:26,583 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 58/125 +[2025-03-25 07:16:26,620 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 59/125 +[2025-03-25 07:16:26,658 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 60/125 +[2025-03-25 07:16:26,697 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 61/125 +[2025-03-25 07:16:26,735 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 62/125 +[2025-03-25 07:16:26,772 INFO test.py 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+[2025-03-25 07:16:27,811 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 84/125 +[2025-03-25 07:16:27,851 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 85/125 +[2025-03-25 07:16:27,892 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 86/125 +[2025-03-25 07:16:27,939 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 87/125 +[2025-03-25 07:16:27,989 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 88/125 +[2025-03-25 07:16:28,031 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 89/125 +[2025-03-25 07:16:28,071 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 90/125 +[2025-03-25 07:16:28,111 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 91/125 +[2025-03-25 07:16:28,151 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 92/125 +[2025-03-25 07:16:28,191 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 93/125 +[2025-03-25 07:16:28,238 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 94/125 +[2025-03-25 07:16:28,279 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 95/125 +[2025-03-25 07:16:28,324 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 96/125 +[2025-03-25 07:16:28,363 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 97/125 +[2025-03-25 07:16:28,403 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 98/125 +[2025-03-25 07:16:28,444 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 99/125 +[2025-03-25 07:16:28,485 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 100/125 +[2025-03-25 07:16:28,527 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 101/125 +[2025-03-25 07:16:28,568 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 102/125 +[2025-03-25 07:16:28,615 INFO test.py line 201 195048] Test: 22/78-scene0608_02, Batch: 103/125 +[2025-03-25 07:16:28,656 INFO test.py line 201 195048] Test: 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07:16:29,764 INFO test.py line 291 195048] Test: scene0608_02 [22/78]-235030 Batch 5.577 (4.354) Accuracy 0.7787 (0.8070) mIoU 0.3544 (0.7005) +[2025-03-25 07:16:29,803 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 0/125 +[2025-03-25 07:16:29,833 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 1/125 +[2025-03-25 07:16:29,862 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 2/125 +[2025-03-25 07:16:29,891 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 3/125 +[2025-03-25 07:16:29,925 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 4/125 +[2025-03-25 07:16:29,953 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 5/125 +[2025-03-25 07:16:29,982 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 6/125 +[2025-03-25 07:16:30,010 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 7/125 +[2025-03-25 07:16:30,038 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 8/125 +[2025-03-25 07:16:30,066 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 9/125 +[2025-03-25 07:16:30,094 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 10/125 +[2025-03-25 07:16:30,123 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 11/125 +[2025-03-25 07:16:30,152 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 12/125 +[2025-03-25 07:16:30,180 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 13/125 +[2025-03-25 07:16:30,217 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 14/125 +[2025-03-25 07:16:30,245 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 15/125 +[2025-03-25 07:16:30,275 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 16/125 +[2025-03-25 07:16:30,303 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 17/125 +[2025-03-25 07:16:30,331 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 18/125 +[2025-03-25 07:16:30,360 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 19/125 +[2025-03-25 07:16:30,390 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 20/125 +[2025-03-25 07:16:30,419 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 21/125 +[2025-03-25 07:16:30,452 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 22/125 +[2025-03-25 07:16:30,481 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 23/125 +[2025-03-25 07:16:30,511 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 24/125 +[2025-03-25 07:16:30,541 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 25/125 +[2025-03-25 07:16:30,569 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 26/125 +[2025-03-25 07:16:30,597 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 27/125 +[2025-03-25 07:16:30,626 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 28/125 +[2025-03-25 07:16:30,654 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:30,984 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 40/125 +[2025-03-25 07:16:31,014 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 41/125 +[2025-03-25 07:16:31,044 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 42/125 +[2025-03-25 07:16:31,074 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 43/125 +[2025-03-25 07:16:31,104 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 44/125 +[2025-03-25 07:16:31,131 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 45/125 +[2025-03-25 07:16:31,159 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 46/125 +[2025-03-25 07:16:31,187 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 47/125 +[2025-03-25 07:16:31,215 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 48/125 +[2025-03-25 07:16:31,243 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 49/125 +[2025-03-25 07:16:31,271 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 50/125 +[2025-03-25 07:16:31,301 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 51/125 +[2025-03-25 07:16:31,330 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 52/125 +[2025-03-25 07:16:31,360 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 53/125 +[2025-03-25 07:16:31,389 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 54/125 +[2025-03-25 07:16:31,417 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 55/125 +[2025-03-25 07:16:31,447 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 56/125 +[2025-03-25 07:16:31,476 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 57/125 +[2025-03-25 07:16:31,506 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 58/125 +[2025-03-25 07:16:31,535 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 59/125 +[2025-03-25 07:16:31,565 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:31,955 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 71/125 +[2025-03-25 07:16:31,992 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 72/125 +[2025-03-25 07:16:32,031 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 73/125 +[2025-03-25 07:16:32,067 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 74/125 +[2025-03-25 07:16:32,104 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 75/125 +[2025-03-25 07:16:32,139 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 76/125 +[2025-03-25 07:16:32,176 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 77/125 +[2025-03-25 07:16:32,212 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 78/125 +[2025-03-25 07:16:32,247 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 79/125 +[2025-03-25 07:16:32,282 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 80/125 +[2025-03-25 07:16:32,317 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 81/125 +[2025-03-25 07:16:32,354 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 82/125 +[2025-03-25 07:16:32,384 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 83/125 +[2025-03-25 07:16:32,414 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 84/125 +[2025-03-25 07:16:32,443 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 85/125 +[2025-03-25 07:16:32,471 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 86/125 +[2025-03-25 07:16:32,498 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 87/125 +[2025-03-25 07:16:32,526 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 88/125 +[2025-03-25 07:16:32,556 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 89/125 +[2025-03-25 07:16:32,586 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 90/125 +[2025-03-25 07:16:32,615 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:32,938 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 102/125 +[2025-03-25 07:16:32,967 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 103/125 +[2025-03-25 07:16:32,995 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 104/125 +[2025-03-25 07:16:33,031 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 105/125 +[2025-03-25 07:16:33,070 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 106/125 +[2025-03-25 07:16:33,113 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 107/125 +[2025-03-25 07:16:33,141 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 108/125 +[2025-03-25 07:16:33,169 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 109/125 +[2025-03-25 07:16:33,198 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 110/125 +[2025-03-25 07:16:33,226 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 111/125 +[2025-03-25 07:16:33,255 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 112/125 +[2025-03-25 07:16:33,283 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 113/125 +[2025-03-25 07:16:33,309 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 114/125 +[2025-03-25 07:16:33,336 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 115/125 +[2025-03-25 07:16:33,362 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 116/125 +[2025-03-25 07:16:33,387 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 117/125 +[2025-03-25 07:16:33,413 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 118/125 +[2025-03-25 07:16:33,445 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 119/125 +[2025-03-25 07:16:33,487 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 120/125 +[2025-03-25 07:16:33,528 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 121/125 +[2025-03-25 07:16:33,567 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 122/125 +[2025-03-25 07:16:33,608 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 123/125 +[2025-03-25 07:16:33,653 INFO test.py line 201 195048] Test: 23/78-scene0144_01, Batch: 124/125 +[2025-03-25 07:16:33,833 INFO test.py line 291 195048] Test: scene0144_01 [23/78]-116341 Batch 4.069 (4.341) Accuracy 0.9031 (0.8073) mIoU 0.4902 (0.7031) +[2025-03-25 07:16:33,859 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 0/145 +[2025-03-25 07:16:33,883 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 1/145 +[2025-03-25 07:16:33,907 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 2/145 +[2025-03-25 07:16:33,931 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 3/145 +[2025-03-25 07:16:33,954 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 4/145 +[2025-03-25 07:16:33,978 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 5/145 +[2025-03-25 07:16:34,002 INFO test.py line 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+[2025-03-25 07:16:35,022 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 48/145 +[2025-03-25 07:16:35,047 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 49/145 +[2025-03-25 07:16:35,072 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 50/145 +[2025-03-25 07:16:35,096 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 51/145 +[2025-03-25 07:16:35,126 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 52/145 +[2025-03-25 07:16:35,151 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 53/145 +[2025-03-25 07:16:35,177 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 54/145 +[2025-03-25 07:16:35,201 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 55/145 +[2025-03-25 07:16:35,225 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 56/145 +[2025-03-25 07:16:35,249 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 57/145 +[2025-03-25 07:16:35,275 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 58/145 +[2025-03-25 07:16:35,300 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 59/145 +[2025-03-25 07:16:35,325 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 60/145 +[2025-03-25 07:16:35,351 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 61/145 +[2025-03-25 07:16:35,376 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 62/145 +[2025-03-25 07:16:35,400 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 63/145 +[2025-03-25 07:16:35,425 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 64/145 +[2025-03-25 07:16:35,449 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 65/145 +[2025-03-25 07:16:35,473 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 66/145 +[2025-03-25 07:16:35,497 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 67/145 +[2025-03-25 07:16:35,523 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:35,799 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 79/145 +[2025-03-25 07:16:35,822 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 80/145 +[2025-03-25 07:16:35,850 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 81/145 +[2025-03-25 07:16:35,874 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 82/145 +[2025-03-25 07:16:35,898 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 83/145 +[2025-03-25 07:16:35,922 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 84/145 +[2025-03-25 07:16:35,946 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 85/145 +[2025-03-25 07:16:35,970 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 86/145 +[2025-03-25 07:16:35,994 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 87/145 +[2025-03-25 07:16:36,018 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 88/145 +[2025-03-25 07:16:36,042 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 89/145 +[2025-03-25 07:16:36,066 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 90/145 +[2025-03-25 07:16:36,090 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 91/145 +[2025-03-25 07:16:36,114 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 92/145 +[2025-03-25 07:16:36,139 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 93/145 +[2025-03-25 07:16:36,164 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 94/145 +[2025-03-25 07:16:36,188 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 95/145 +[2025-03-25 07:16:36,213 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 96/145 +[2025-03-25 07:16:36,237 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 97/145 +[2025-03-25 07:16:36,261 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 98/145 +[2025-03-25 07:16:36,285 INFO test.py line 201 195048] Test: 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201 195048] Test: 24/78-scene0382_00, Batch: 130/145 +[2025-03-25 07:16:37,314 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 131/145 +[2025-03-25 07:16:37,343 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 132/145 +[2025-03-25 07:16:37,368 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 133/145 +[2025-03-25 07:16:37,399 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 134/145 +[2025-03-25 07:16:37,425 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 135/145 +[2025-03-25 07:16:37,450 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 136/145 +[2025-03-25 07:16:37,476 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 137/145 +[2025-03-25 07:16:37,502 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 138/145 +[2025-03-25 07:16:37,528 INFO test.py line 201 195048] Test: 24/78-scene0382_00, Batch: 139/145 +[2025-03-25 07:16:37,553 INFO test.py line 201 195048] Test: 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line 201 195048] Test: 25/78-scene0077_00, Batch: 4/121 +[2025-03-25 07:16:37,912 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 5/121 +[2025-03-25 07:16:37,936 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 6/121 +[2025-03-25 07:16:37,960 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 7/121 +[2025-03-25 07:16:37,984 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 8/121 +[2025-03-25 07:16:38,009 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 9/121 +[2025-03-25 07:16:38,033 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 10/121 +[2025-03-25 07:16:38,056 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 11/121 +[2025-03-25 07:16:38,080 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 12/121 +[2025-03-25 07:16:38,105 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 13/121 +[2025-03-25 07:16:38,129 INFO test.py line 201 195048] Test: 25/78-scene0077_00, 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+[2025-03-25 07:16:38,925 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 46/121 +[2025-03-25 07:16:38,950 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 47/121 +[2025-03-25 07:16:38,974 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 48/121 +[2025-03-25 07:16:38,997 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 49/121 +[2025-03-25 07:16:39,020 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 50/121 +[2025-03-25 07:16:39,044 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 51/121 +[2025-03-25 07:16:39,067 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 52/121 +[2025-03-25 07:16:39,091 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 53/121 +[2025-03-25 07:16:39,115 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 54/121 +[2025-03-25 07:16:39,138 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 55/121 +[2025-03-25 07:16:39,163 INFO test.py 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+[2025-03-25 07:16:39,687 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 77/121 +[2025-03-25 07:16:39,712 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 78/121 +[2025-03-25 07:16:39,736 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 79/121 +[2025-03-25 07:16:39,761 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 80/121 +[2025-03-25 07:16:39,785 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 81/121 +[2025-03-25 07:16:39,810 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 82/121 +[2025-03-25 07:16:39,835 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 83/121 +[2025-03-25 07:16:39,859 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 84/121 +[2025-03-25 07:16:39,883 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 85/121 +[2025-03-25 07:16:39,907 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 86/121 +[2025-03-25 07:16:39,932 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 87/121 +[2025-03-25 07:16:39,956 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 88/121 +[2025-03-25 07:16:39,982 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 89/121 +[2025-03-25 07:16:40,007 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 90/121 +[2025-03-25 07:16:40,031 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 91/121 +[2025-03-25 07:16:40,055 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 92/121 +[2025-03-25 07:16:40,079 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 93/121 +[2025-03-25 07:16:40,104 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 94/121 +[2025-03-25 07:16:40,127 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 95/121 +[2025-03-25 07:16:40,151 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 96/121 +[2025-03-25 07:16:40,175 INFO test.py line 201 195048] Test: 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07:16:40,697 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 118/121 +[2025-03-25 07:16:40,720 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 119/121 +[2025-03-25 07:16:40,744 INFO test.py line 201 195048] Test: 25/78-scene0077_00, Batch: 120/121 +[2025-03-25 07:16:40,851 INFO test.py line 291 195048] Test: scene0077_00 [25/78]-92807 Batch 3.088 (4.275) Accuracy 0.8613 (0.8079) mIoU 0.5292 (0.7047) +[2025-03-25 07:16:40,881 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 0/159 +[2025-03-25 07:16:40,907 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 1/159 +[2025-03-25 07:16:40,934 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 2/159 +[2025-03-25 07:16:40,962 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 3/159 +[2025-03-25 07:16:40,990 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 4/159 +[2025-03-25 07:16:41,018 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 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line 201 195048] Test: 26/78-scene0084_00, Batch: 16/159 +[2025-03-25 07:16:41,579 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 17/159 +[2025-03-25 07:16:41,630 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 18/159 +[2025-03-25 07:16:41,665 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 19/159 +[2025-03-25 07:16:41,700 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 20/159 +[2025-03-25 07:16:41,736 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 21/159 +[2025-03-25 07:16:41,774 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 22/159 +[2025-03-25 07:16:41,807 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 23/159 +[2025-03-25 07:16:41,838 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 24/159 +[2025-03-25 07:16:41,868 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 25/159 +[2025-03-25 07:16:41,898 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:42,210 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 37/159 +[2025-03-25 07:16:42,242 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 38/159 +[2025-03-25 07:16:42,273 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 39/159 +[2025-03-25 07:16:42,305 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 40/159 +[2025-03-25 07:16:42,341 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 41/159 +[2025-03-25 07:16:42,378 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 42/159 +[2025-03-25 07:16:42,419 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 43/159 +[2025-03-25 07:16:42,446 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 44/159 +[2025-03-25 07:16:42,475 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 45/159 +[2025-03-25 07:16:42,503 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 46/159 +[2025-03-25 07:16:42,531 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 47/159 +[2025-03-25 07:16:42,559 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 48/159 +[2025-03-25 07:16:42,587 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 49/159 +[2025-03-25 07:16:42,615 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 50/159 +[2025-03-25 07:16:42,642 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 51/159 +[2025-03-25 07:16:42,670 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 52/159 +[2025-03-25 07:16:42,698 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 53/159 +[2025-03-25 07:16:42,725 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 54/159 +[2025-03-25 07:16:42,753 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 55/159 +[2025-03-25 07:16:42,782 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 56/159 +[2025-03-25 07:16:42,809 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:43,116 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 68/159 +[2025-03-25 07:16:43,145 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 69/159 +[2025-03-25 07:16:43,173 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 70/159 +[2025-03-25 07:16:43,201 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 71/159 +[2025-03-25 07:16:43,229 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 72/159 +[2025-03-25 07:16:43,257 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 73/159 +[2025-03-25 07:16:43,285 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 74/159 +[2025-03-25 07:16:43,313 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 75/159 +[2025-03-25 07:16:43,341 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 76/159 +[2025-03-25 07:16:43,369 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 77/159 +[2025-03-25 07:16:43,397 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 78/159 +[2025-03-25 07:16:43,425 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 79/159 +[2025-03-25 07:16:43,453 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 80/159 +[2025-03-25 07:16:43,482 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 81/159 +[2025-03-25 07:16:43,510 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 82/159 +[2025-03-25 07:16:43,538 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 83/159 +[2025-03-25 07:16:43,569 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 84/159 +[2025-03-25 07:16:43,602 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 85/159 +[2025-03-25 07:16:43,631 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 86/159 +[2025-03-25 07:16:43,659 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 87/159 +[2025-03-25 07:16:43,687 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:44,000 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 99/159 +[2025-03-25 07:16:44,038 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 100/159 +[2025-03-25 07:16:44,067 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 101/159 +[2025-03-25 07:16:44,107 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 102/159 +[2025-03-25 07:16:44,144 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 103/159 +[2025-03-25 07:16:44,182 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 104/159 +[2025-03-25 07:16:44,222 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 105/159 +[2025-03-25 07:16:44,260 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 106/159 +[2025-03-25 07:16:44,297 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 107/159 +[2025-03-25 07:16:44,339 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 108/159 +[2025-03-25 07:16:44,374 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 109/159 +[2025-03-25 07:16:44,409 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 110/159 +[2025-03-25 07:16:44,448 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 111/159 +[2025-03-25 07:16:44,484 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 112/159 +[2025-03-25 07:16:44,520 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 113/159 +[2025-03-25 07:16:44,558 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 114/159 +[2025-03-25 07:16:44,594 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 115/159 +[2025-03-25 07:16:44,628 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 116/159 +[2025-03-25 07:16:44,665 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 117/159 +[2025-03-25 07:16:44,704 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 118/159 +[2025-03-25 07:16:44,735 INFO test.py line 201 195048] Test: 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07:16:45,336 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 140/159 +[2025-03-25 07:16:45,363 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 141/159 +[2025-03-25 07:16:45,389 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 142/159 +[2025-03-25 07:16:45,421 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 143/159 +[2025-03-25 07:16:45,461 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 144/159 +[2025-03-25 07:16:45,512 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 145/159 +[2025-03-25 07:16:45,544 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 146/159 +[2025-03-25 07:16:45,570 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 147/159 +[2025-03-25 07:16:45,604 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 148/159 +[2025-03-25 07:16:45,631 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 149/159 +[2025-03-25 07:16:45,658 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 150/159 +[2025-03-25 07:16:45,686 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 151/159 +[2025-03-25 07:16:45,713 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 152/159 +[2025-03-25 07:16:45,741 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 153/159 +[2025-03-25 07:16:45,769 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 154/159 +[2025-03-25 07:16:45,798 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 155/159 +[2025-03-25 07:16:45,826 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 156/159 +[2025-03-25 07:16:45,853 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 157/159 +[2025-03-25 07:16:45,882 INFO test.py line 201 195048] Test: 26/78-scene0084_00, Batch: 158/159 +[2025-03-25 07:16:46,016 INFO test.py line 291 195048] Test: scene0084_00 [26/78]-116845 Batch 5.164 (4.309) Accuracy 0.9398 (0.7996) mIoU 0.4339 (0.6996) +[2025-03-25 07:16:46,057 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 0/121 +[2025-03-25 07:16:46,093 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 1/121 +[2025-03-25 07:16:46,135 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 2/121 +[2025-03-25 07:16:46,171 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 3/121 +[2025-03-25 07:16:46,208 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 4/121 +[2025-03-25 07:16:46,245 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 5/121 +[2025-03-25 07:16:46,280 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 6/121 +[2025-03-25 07:16:46,315 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 7/121 +[2025-03-25 07:16:46,350 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 8/121 +[2025-03-25 07:16:46,387 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 9/121 +[2025-03-25 07:16:46,422 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:46,812 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 21/121 +[2025-03-25 07:16:46,846 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 22/121 +[2025-03-25 07:16:46,882 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 23/121 +[2025-03-25 07:16:46,917 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 24/121 +[2025-03-25 07:16:46,952 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 25/121 +[2025-03-25 07:16:46,988 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 26/121 +[2025-03-25 07:16:47,023 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 27/121 +[2025-03-25 07:16:47,057 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 28/121 +[2025-03-25 07:16:47,091 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 29/121 +[2025-03-25 07:16:47,127 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 30/121 +[2025-03-25 07:16:47,163 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 31/121 +[2025-03-25 07:16:47,200 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 32/121 +[2025-03-25 07:16:47,235 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 33/121 +[2025-03-25 07:16:47,274 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 34/121 +[2025-03-25 07:16:47,309 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 35/121 +[2025-03-25 07:16:47,345 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 36/121 +[2025-03-25 07:16:47,380 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 37/121 +[2025-03-25 07:16:47,414 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 38/121 +[2025-03-25 07:16:47,448 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 39/121 +[2025-03-25 07:16:47,488 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 40/121 +[2025-03-25 07:16:47,525 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:47,920 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 52/121 +[2025-03-25 07:16:47,954 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 53/121 +[2025-03-25 07:16:47,987 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 54/121 +[2025-03-25 07:16:48,022 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 55/121 +[2025-03-25 07:16:48,057 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 56/121 +[2025-03-25 07:16:48,091 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 57/121 +[2025-03-25 07:16:48,126 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 58/121 +[2025-03-25 07:16:48,160 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 59/121 +[2025-03-25 07:16:48,195 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 60/121 +[2025-03-25 07:16:48,268 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 61/121 +[2025-03-25 07:16:48,320 INFO test.py 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+[2025-03-25 07:16:49,303 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 83/121 +[2025-03-25 07:16:49,346 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 84/121 +[2025-03-25 07:16:49,384 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 85/121 +[2025-03-25 07:16:49,421 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 86/121 +[2025-03-25 07:16:49,457 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 87/121 +[2025-03-25 07:16:49,493 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 88/121 +[2025-03-25 07:16:49,529 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 89/121 +[2025-03-25 07:16:49,564 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 90/121 +[2025-03-25 07:16:49,600 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 91/121 +[2025-03-25 07:16:49,636 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 92/121 +[2025-03-25 07:16:49,671 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 93/121 +[2025-03-25 07:16:49,706 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 94/121 +[2025-03-25 07:16:49,741 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 95/121 +[2025-03-25 07:16:49,777 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 96/121 +[2025-03-25 07:16:49,813 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 97/121 +[2025-03-25 07:16:49,849 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 98/121 +[2025-03-25 07:16:49,884 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 99/121 +[2025-03-25 07:16:49,920 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 100/121 +[2025-03-25 07:16:49,956 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 101/121 +[2025-03-25 07:16:49,991 INFO test.py line 201 195048] Test: 27/78-scene0608_00, Batch: 102/121 +[2025-03-25 07:16:50,029 INFO test.py line 201 195048] Test: 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07:16:51,271 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 12/134 +[2025-03-25 07:16:51,302 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 13/134 +[2025-03-25 07:16:51,334 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 14/134 +[2025-03-25 07:16:51,364 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 15/134 +[2025-03-25 07:16:51,396 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 16/134 +[2025-03-25 07:16:51,427 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 17/134 +[2025-03-25 07:16:51,456 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 18/134 +[2025-03-25 07:16:51,484 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 19/134 +[2025-03-25 07:16:51,513 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 20/134 +[2025-03-25 07:16:51,541 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 21/134 +[2025-03-25 07:16:51,569 INFO test.py line 201 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+[2025-03-25 07:16:53,752 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 95/134 +[2025-03-25 07:16:53,781 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 96/134 +[2025-03-25 07:16:53,811 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 97/134 +[2025-03-25 07:16:53,839 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 98/134 +[2025-03-25 07:16:53,867 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 99/134 +[2025-03-25 07:16:53,895 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 100/134 +[2025-03-25 07:16:53,925 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 101/134 +[2025-03-25 07:16:53,953 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 102/134 +[2025-03-25 07:16:53,981 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 103/134 +[2025-03-25 07:16:54,009 INFO test.py line 201 195048] Test: 28/78-scene0558_01, Batch: 104/134 +[2025-03-25 07:16:54,038 INFO 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Test: 29/78-scene0430_01, Batch: 0/125 +[2025-03-25 07:16:55,086 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 1/125 +[2025-03-25 07:16:55,114 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 2/125 +[2025-03-25 07:16:55,141 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 3/125 +[2025-03-25 07:16:55,169 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 4/125 +[2025-03-25 07:16:55,196 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 5/125 +[2025-03-25 07:16:55,224 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 6/125 +[2025-03-25 07:16:55,251 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 7/125 +[2025-03-25 07:16:55,278 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 8/125 +[2025-03-25 07:16:55,306 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 9/125 +[2025-03-25 07:16:55,333 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 10/125 +[2025-03-25 07:16:55,361 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 11/125 +[2025-03-25 07:16:55,388 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 12/125 +[2025-03-25 07:16:55,416 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 13/125 +[2025-03-25 07:16:55,445 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 14/125 +[2025-03-25 07:16:55,474 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 15/125 +[2025-03-25 07:16:55,502 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 16/125 +[2025-03-25 07:16:55,531 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 17/125 +[2025-03-25 07:16:55,559 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 18/125 +[2025-03-25 07:16:55,587 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 19/125 +[2025-03-25 07:16:55,616 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 20/125 +[2025-03-25 07:16:55,644 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 21/125 +[2025-03-25 07:16:55,672 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 22/125 +[2025-03-25 07:16:55,700 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 23/125 +[2025-03-25 07:16:55,728 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 24/125 +[2025-03-25 07:16:55,756 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 25/125 +[2025-03-25 07:16:55,785 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 26/125 +[2025-03-25 07:16:55,814 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 27/125 +[2025-03-25 07:16:55,842 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 28/125 +[2025-03-25 07:16:55,871 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 29/125 +[2025-03-25 07:16:55,900 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 30/125 +[2025-03-25 07:16:55,928 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:56,248 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 42/125 +[2025-03-25 07:16:56,285 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 43/125 +[2025-03-25 07:16:56,321 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 44/125 +[2025-03-25 07:16:56,348 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 45/125 +[2025-03-25 07:16:56,376 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 46/125 +[2025-03-25 07:16:56,405 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 47/125 +[2025-03-25 07:16:56,433 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 48/125 +[2025-03-25 07:16:56,461 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 49/125 +[2025-03-25 07:16:56,492 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 50/125 +[2025-03-25 07:16:56,521 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 51/125 +[2025-03-25 07:16:56,551 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 52/125 +[2025-03-25 07:16:56,580 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 53/125 +[2025-03-25 07:16:56,608 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 54/125 +[2025-03-25 07:16:56,638 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 55/125 +[2025-03-25 07:16:56,668 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 56/125 +[2025-03-25 07:16:56,695 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 57/125 +[2025-03-25 07:16:56,725 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 58/125 +[2025-03-25 07:16:56,753 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 59/125 +[2025-03-25 07:16:56,781 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 60/125 +[2025-03-25 07:16:56,818 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 61/125 +[2025-03-25 07:16:56,847 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:16:58,085 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 104/125 +[2025-03-25 07:16:58,115 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 105/125 +[2025-03-25 07:16:58,148 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 106/125 +[2025-03-25 07:16:58,178 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 107/125 +[2025-03-25 07:16:58,206 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 108/125 +[2025-03-25 07:16:58,236 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 109/125 +[2025-03-25 07:16:58,269 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 110/125 +[2025-03-25 07:16:58,297 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 111/125 +[2025-03-25 07:16:58,325 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 112/125 +[2025-03-25 07:16:58,360 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 113/125 +[2025-03-25 07:16:58,391 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 114/125 +[2025-03-25 07:16:58,420 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 115/125 +[2025-03-25 07:16:58,448 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 116/125 +[2025-03-25 07:16:58,477 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 117/125 +[2025-03-25 07:16:58,504 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 118/125 +[2025-03-25 07:16:58,532 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 119/125 +[2025-03-25 07:16:58,561 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 120/125 +[2025-03-25 07:16:58,595 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 121/125 +[2025-03-25 07:16:58,625 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 122/125 +[2025-03-25 07:16:58,654 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 123/125 +[2025-03-25 07:16:58,684 INFO test.py line 201 195048] Test: 29/78-scene0430_01, Batch: 124/125 +[2025-03-25 07:16:58,824 INFO test.py line 291 195048] Test: scene0430_01 [29/78]-126166 Batch 3.801 (4.305) Accuracy 0.9462 (0.7975) mIoU 0.7447 (0.7001) +[2025-03-25 07:16:58,859 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 0/144 +[2025-03-25 07:16:58,889 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 1/144 +[2025-03-25 07:16:58,917 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 2/144 +[2025-03-25 07:16:58,946 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 3/144 +[2025-03-25 07:16:58,976 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 4/144 +[2025-03-25 07:16:59,006 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 5/144 +[2025-03-25 07:16:59,034 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 6/144 +[2025-03-25 07:16:59,064 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 7/144 +[2025-03-25 07:16:59,095 INFO test.py line 201 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+[2025-03-25 07:17:00,341 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 50/144 +[2025-03-25 07:17:00,371 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 51/144 +[2025-03-25 07:17:00,400 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 52/144 +[2025-03-25 07:17:00,432 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 53/144 +[2025-03-25 07:17:00,460 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 54/144 +[2025-03-25 07:17:00,488 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 55/144 +[2025-03-25 07:17:00,516 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 56/144 +[2025-03-25 07:17:00,543 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 57/144 +[2025-03-25 07:17:00,572 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 58/144 +[2025-03-25 07:17:00,601 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 59/144 +[2025-03-25 07:17:00,630 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 60/144 +[2025-03-25 07:17:00,660 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 61/144 +[2025-03-25 07:17:00,689 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 62/144 +[2025-03-25 07:17:00,717 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 63/144 +[2025-03-25 07:17:00,744 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 64/144 +[2025-03-25 07:17:00,772 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 65/144 +[2025-03-25 07:17:00,801 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 66/144 +[2025-03-25 07:17:00,829 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 67/144 +[2025-03-25 07:17:00,858 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 68/144 +[2025-03-25 07:17:00,887 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 69/144 +[2025-03-25 07:17:00,916 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:01,226 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 81/144 +[2025-03-25 07:17:01,253 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 82/144 +[2025-03-25 07:17:01,281 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 83/144 +[2025-03-25 07:17:01,308 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 84/144 +[2025-03-25 07:17:01,337 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 85/144 +[2025-03-25 07:17:01,364 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 86/144 +[2025-03-25 07:17:01,398 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 87/144 +[2025-03-25 07:17:01,441 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 88/144 +[2025-03-25 07:17:01,468 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 89/144 +[2025-03-25 07:17:01,495 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 90/144 +[2025-03-25 07:17:01,522 INFO test.py 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201 195048] Test: 30/78-scene0086_01, Batch: 132/144 +[2025-03-25 07:17:02,798 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 133/144 +[2025-03-25 07:17:02,834 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 134/144 +[2025-03-25 07:17:02,870 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 135/144 +[2025-03-25 07:17:02,897 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 136/144 +[2025-03-25 07:17:02,924 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 137/144 +[2025-03-25 07:17:02,953 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 138/144 +[2025-03-25 07:17:02,979 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 139/144 +[2025-03-25 07:17:03,006 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 140/144 +[2025-03-25 07:17:03,033 INFO test.py line 201 195048] Test: 30/78-scene0086_01, Batch: 141/144 +[2025-03-25 07:17:03,059 INFO test.py line 201 195048] Test: 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201 195048] Test: 31/78-scene0500_00, Batch: 131/138 +[2025-03-25 07:17:12,935 INFO test.py line 201 195048] Test: 31/78-scene0500_00, Batch: 132/138 +[2025-03-25 07:17:12,987 INFO test.py line 201 195048] Test: 31/78-scene0500_00, Batch: 133/138 +[2025-03-25 07:17:13,039 INFO test.py line 201 195048] Test: 31/78-scene0500_00, Batch: 134/138 +[2025-03-25 07:17:13,094 INFO test.py line 201 195048] Test: 31/78-scene0500_00, Batch: 135/138 +[2025-03-25 07:17:13,147 INFO test.py line 201 195048] Test: 31/78-scene0500_00, Batch: 136/138 +[2025-03-25 07:17:13,199 INFO test.py line 201 195048] Test: 31/78-scene0500_00, Batch: 137/138 +[2025-03-25 07:17:13,629 INFO test.py line 291 195048] Test: scene0500_00 [31/78]-396942 Batch 7.827 (4.422) Accuracy 0.9340 (0.7999) mIoU 0.3652 (0.7063) +[2025-03-25 07:17:13,674 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 0/121 +[2025-03-25 07:17:13,708 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 1/121 +[2025-03-25 07:17:13,740 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 2/121 +[2025-03-25 07:17:13,772 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 3/121 +[2025-03-25 07:17:13,805 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 4/121 +[2025-03-25 07:17:13,838 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 5/121 +[2025-03-25 07:17:13,870 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 6/121 +[2025-03-25 07:17:13,908 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 7/121 +[2025-03-25 07:17:13,949 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 8/121 +[2025-03-25 07:17:13,982 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 9/121 +[2025-03-25 07:17:14,014 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 10/121 +[2025-03-25 07:17:14,046 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 11/121 +[2025-03-25 07:17:14,078 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:14,436 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 23/121 +[2025-03-25 07:17:14,468 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 24/121 +[2025-03-25 07:17:14,502 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 25/121 +[2025-03-25 07:17:14,535 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 26/121 +[2025-03-25 07:17:14,568 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 27/121 +[2025-03-25 07:17:14,601 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 28/121 +[2025-03-25 07:17:14,635 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 29/121 +[2025-03-25 07:17:14,667 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 30/121 +[2025-03-25 07:17:14,699 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 31/121 +[2025-03-25 07:17:14,732 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 32/121 +[2025-03-25 07:17:14,764 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 33/121 +[2025-03-25 07:17:14,798 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 34/121 +[2025-03-25 07:17:14,841 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 35/121 +[2025-03-25 07:17:14,872 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 36/121 +[2025-03-25 07:17:14,904 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 37/121 +[2025-03-25 07:17:14,936 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 38/121 +[2025-03-25 07:17:14,971 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 39/121 +[2025-03-25 07:17:15,007 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 40/121 +[2025-03-25 07:17:15,044 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 41/121 +[2025-03-25 07:17:15,077 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 42/121 +[2025-03-25 07:17:15,108 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:15,470 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 54/121 +[2025-03-25 07:17:15,502 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 55/121 +[2025-03-25 07:17:15,533 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 56/121 +[2025-03-25 07:17:15,565 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 57/121 +[2025-03-25 07:17:15,624 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 58/121 +[2025-03-25 07:17:15,663 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 59/121 +[2025-03-25 07:17:15,695 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 60/121 +[2025-03-25 07:17:15,727 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 61/121 +[2025-03-25 07:17:15,759 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 62/121 +[2025-03-25 07:17:15,800 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 63/121 +[2025-03-25 07:17:15,831 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 64/121 +[2025-03-25 07:17:15,862 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 65/121 +[2025-03-25 07:17:15,893 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 66/121 +[2025-03-25 07:17:15,926 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 67/121 +[2025-03-25 07:17:15,957 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 68/121 +[2025-03-25 07:17:15,988 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 69/121 +[2025-03-25 07:17:16,024 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 70/121 +[2025-03-25 07:17:16,059 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 71/121 +[2025-03-25 07:17:16,096 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 72/121 +[2025-03-25 07:17:16,134 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 73/121 +[2025-03-25 07:17:16,169 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:16,594 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 85/121 +[2025-03-25 07:17:16,629 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 86/121 +[2025-03-25 07:17:16,663 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 87/121 +[2025-03-25 07:17:16,697 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 88/121 +[2025-03-25 07:17:16,734 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 89/121 +[2025-03-25 07:17:16,768 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 90/121 +[2025-03-25 07:17:16,801 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 91/121 +[2025-03-25 07:17:16,844 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 92/121 +[2025-03-25 07:17:16,878 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 93/121 +[2025-03-25 07:17:16,911 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 94/121 +[2025-03-25 07:17:16,944 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 95/121 +[2025-03-25 07:17:16,977 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 96/121 +[2025-03-25 07:17:17,010 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 97/121 +[2025-03-25 07:17:17,043 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 98/121 +[2025-03-25 07:17:17,076 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 99/121 +[2025-03-25 07:17:17,110 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 100/121 +[2025-03-25 07:17:17,157 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 101/121 +[2025-03-25 07:17:17,190 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 102/121 +[2025-03-25 07:17:17,222 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 103/121 +[2025-03-25 07:17:17,253 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 104/121 +[2025-03-25 07:17:17,285 INFO test.py line 201 195048] Test: 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115/121 +[2025-03-25 07:17:17,638 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 116/121 +[2025-03-25 07:17:17,669 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 117/121 +[2025-03-25 07:17:17,701 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 118/121 +[2025-03-25 07:17:17,733 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 119/121 +[2025-03-25 07:17:17,764 INFO test.py line 201 195048] Test: 32/78-scene0064_01, Batch: 120/121 +[2025-03-25 07:17:17,983 INFO test.py line 291 195048] Test: scene0064_01 [32/78]-195252 Batch 4.354 (4.420) Accuracy 0.9069 (0.7995) mIoU 0.3522 (0.7048) +[2025-03-25 07:17:18,007 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 0/117 +[2025-03-25 07:17:18,028 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 1/117 +[2025-03-25 07:17:18,049 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 2/117 +[2025-03-25 07:17:18,072 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:20,739 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 97/117 +[2025-03-25 07:17:20,765 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 98/117 +[2025-03-25 07:17:20,788 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 99/117 +[2025-03-25 07:17:20,812 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 100/117 +[2025-03-25 07:17:20,835 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 101/117 +[2025-03-25 07:17:20,858 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 102/117 +[2025-03-25 07:17:20,881 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 103/117 +[2025-03-25 07:17:20,904 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 104/117 +[2025-03-25 07:17:20,930 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 105/117 +[2025-03-25 07:17:20,954 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 106/117 +[2025-03-25 07:17:20,977 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 107/117 +[2025-03-25 07:17:21,001 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 108/117 +[2025-03-25 07:17:21,024 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 109/117 +[2025-03-25 07:17:21,049 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 110/117 +[2025-03-25 07:17:21,073 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 111/117 +[2025-03-25 07:17:21,096 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 112/117 +[2025-03-25 07:17:21,120 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 113/117 +[2025-03-25 07:17:21,145 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 114/117 +[2025-03-25 07:17:21,169 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 115/117 +[2025-03-25 07:17:21,193 INFO test.py line 201 195048] Test: 33/78-scene0553_01, Batch: 116/117 +[2025-03-25 07:17:21,265 INFO test.py line 291 195048] Test: scene0553_01 [33/78]-61388 Batch 3.282 (4.385) Accuracy 0.9595 (0.8003) mIoU 0.4355 (0.7064) +[2025-03-25 07:17:21,307 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 0/138 +[2025-03-25 07:17:21,338 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 1/138 +[2025-03-25 07:17:21,368 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 2/138 +[2025-03-25 07:17:21,399 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 3/138 +[2025-03-25 07:17:21,430 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 4/138 +[2025-03-25 07:17:21,462 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 5/138 +[2025-03-25 07:17:21,494 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 6/138 +[2025-03-25 07:17:21,526 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 7/138 +[2025-03-25 07:17:21,559 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 8/138 +[2025-03-25 07:17:21,596 INFO test.py line 201 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+[2025-03-25 07:17:22,974 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 51/138 +[2025-03-25 07:17:23,006 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 52/138 +[2025-03-25 07:17:23,038 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 53/138 +[2025-03-25 07:17:23,069 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 54/138 +[2025-03-25 07:17:23,100 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 55/138 +[2025-03-25 07:17:23,132 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 56/138 +[2025-03-25 07:17:23,164 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 57/138 +[2025-03-25 07:17:23,194 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 58/138 +[2025-03-25 07:17:23,226 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 59/138 +[2025-03-25 07:17:23,257 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 60/138 +[2025-03-25 07:17:23,288 INFO test.py 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07:17:25,387 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 123/138 +[2025-03-25 07:17:25,419 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 124/138 +[2025-03-25 07:17:25,452 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 125/138 +[2025-03-25 07:17:25,485 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 126/138 +[2025-03-25 07:17:25,517 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 127/138 +[2025-03-25 07:17:25,548 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 128/138 +[2025-03-25 07:17:25,579 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 129/138 +[2025-03-25 07:17:25,610 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 130/138 +[2025-03-25 07:17:25,641 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 131/138 +[2025-03-25 07:17:25,677 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 132/138 +[2025-03-25 07:17:25,709 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 133/138 +[2025-03-25 07:17:25,741 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 134/138 +[2025-03-25 07:17:25,774 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 135/138 +[2025-03-25 07:17:25,807 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 136/138 +[2025-03-25 07:17:25,839 INFO test.py line 201 195048] Test: 34/78-scene0462_00, Batch: 137/138 +[2025-03-25 07:17:26,018 INFO test.py line 291 195048] Test: scene0462_00 [34/78]-156714 Batch 4.752 (4.396) Accuracy 0.8515 (0.7808) mIoU 0.2654 (0.6881) +[2025-03-25 07:17:26,050 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 0/113 +[2025-03-25 07:17:26,076 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 1/113 +[2025-03-25 07:17:26,100 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 2/113 +[2025-03-25 07:17:26,124 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 3/113 +[2025-03-25 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+[2025-03-25 07:17:26,692 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 25/113 +[2025-03-25 07:17:26,719 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 26/113 +[2025-03-25 07:17:26,751 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 27/113 +[2025-03-25 07:17:26,777 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 28/113 +[2025-03-25 07:17:26,802 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 29/113 +[2025-03-25 07:17:26,827 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 30/113 +[2025-03-25 07:17:26,852 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 31/113 +[2025-03-25 07:17:26,876 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 32/113 +[2025-03-25 07:17:26,902 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 33/113 +[2025-03-25 07:17:26,927 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 34/113 +[2025-03-25 07:17:26,953 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 35/113 +[2025-03-25 07:17:26,978 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 36/113 +[2025-03-25 07:17:27,003 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 37/113 +[2025-03-25 07:17:27,030 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 38/113 +[2025-03-25 07:17:27,055 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 39/113 +[2025-03-25 07:17:27,081 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 40/113 +[2025-03-25 07:17:27,105 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 41/113 +[2025-03-25 07:17:27,129 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 42/113 +[2025-03-25 07:17:27,153 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 43/113 +[2025-03-25 07:17:27,178 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 44/113 +[2025-03-25 07:17:27,202 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:27,492 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 56/113 +[2025-03-25 07:17:27,517 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 57/113 +[2025-03-25 07:17:27,541 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 58/113 +[2025-03-25 07:17:27,563 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 59/113 +[2025-03-25 07:17:27,588 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 60/113 +[2025-03-25 07:17:27,610 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 61/113 +[2025-03-25 07:17:27,630 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 62/113 +[2025-03-25 07:17:27,648 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 63/113 +[2025-03-25 07:17:27,667 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 64/113 +[2025-03-25 07:17:27,687 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 65/113 +[2025-03-25 07:17:27,706 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 66/113 +[2025-03-25 07:17:27,725 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 67/113 +[2025-03-25 07:17:27,743 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 68/113 +[2025-03-25 07:17:27,761 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 69/113 +[2025-03-25 07:17:27,779 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 70/113 +[2025-03-25 07:17:27,797 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 71/113 +[2025-03-25 07:17:27,816 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 72/113 +[2025-03-25 07:17:27,833 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 73/113 +[2025-03-25 07:17:27,851 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 74/113 +[2025-03-25 07:17:27,869 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 75/113 +[2025-03-25 07:17:27,886 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:28,081 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 87/113 +[2025-03-25 07:17:28,098 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 88/113 +[2025-03-25 07:17:28,116 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 89/113 +[2025-03-25 07:17:28,134 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 90/113 +[2025-03-25 07:17:28,151 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 91/113 +[2025-03-25 07:17:28,169 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 92/113 +[2025-03-25 07:17:28,187 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 93/113 +[2025-03-25 07:17:28,204 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 94/113 +[2025-03-25 07:17:28,226 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 95/113 +[2025-03-25 07:17:28,250 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 96/113 +[2025-03-25 07:17:28,274 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 97/113 +[2025-03-25 07:17:28,299 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 98/113 +[2025-03-25 07:17:28,324 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 99/113 +[2025-03-25 07:17:28,350 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 100/113 +[2025-03-25 07:17:28,375 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 101/113 +[2025-03-25 07:17:28,402 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 102/113 +[2025-03-25 07:17:28,427 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 103/113 +[2025-03-25 07:17:28,452 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 104/113 +[2025-03-25 07:17:28,488 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 105/113 +[2025-03-25 07:17:28,512 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 106/113 +[2025-03-25 07:17:28,537 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 107/113 +[2025-03-25 07:17:28,562 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 108/113 +[2025-03-25 07:17:28,587 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 109/113 +[2025-03-25 07:17:28,618 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 110/113 +[2025-03-25 07:17:28,641 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 111/113 +[2025-03-25 07:17:28,663 INFO test.py line 201 195048] Test: 35/78-scene0146_00, Batch: 112/113 +[2025-03-25 07:17:28,713 INFO test.py line 291 195048] Test: scene0146_00 [35/78]-60438 Batch 2.694 (4.347) Accuracy 0.9488 (0.7819) mIoU 0.6473 (0.6895) +[2025-03-25 07:17:28,755 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 0/134 +[2025-03-25 07:17:28,791 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 1/134 +[2025-03-25 07:17:28,825 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 2/134 +[2025-03-25 07:17:28,859 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 3/134 +[2025-03-25 07:17:28,888 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 4/134 +[2025-03-25 07:17:28,919 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 5/134 +[2025-03-25 07:17:28,949 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 6/134 +[2025-03-25 07:17:28,979 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 7/134 +[2025-03-25 07:17:29,010 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 8/134 +[2025-03-25 07:17:29,040 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 9/134 +[2025-03-25 07:17:29,071 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 10/134 +[2025-03-25 07:17:29,102 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 11/134 +[2025-03-25 07:17:29,133 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 12/134 +[2025-03-25 07:17:29,164 INFO test.py line 201 195048] Test: 36/78-scene0131_01, 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INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 24/134 +[2025-03-25 07:17:29,538 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 25/134 +[2025-03-25 07:17:29,568 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 26/134 +[2025-03-25 07:17:29,597 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 27/134 +[2025-03-25 07:17:29,626 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 28/134 +[2025-03-25 07:17:29,656 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 29/134 +[2025-03-25 07:17:29,686 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 30/134 +[2025-03-25 07:17:29,717 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 31/134 +[2025-03-25 07:17:29,747 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 32/134 +[2025-03-25 07:17:29,777 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 33/134 +[2025-03-25 07:17:29,807 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:30,133 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 45/134 +[2025-03-25 07:17:30,161 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 46/134 +[2025-03-25 07:17:30,189 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 47/134 +[2025-03-25 07:17:30,218 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 48/134 +[2025-03-25 07:17:30,247 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 49/134 +[2025-03-25 07:17:30,276 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 50/134 +[2025-03-25 07:17:30,306 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 51/134 +[2025-03-25 07:17:30,335 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 52/134 +[2025-03-25 07:17:30,363 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 53/134 +[2025-03-25 07:17:30,392 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 54/134 +[2025-03-25 07:17:30,421 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 55/134 +[2025-03-25 07:17:30,450 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 56/134 +[2025-03-25 07:17:30,478 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 57/134 +[2025-03-25 07:17:30,507 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 58/134 +[2025-03-25 07:17:30,538 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 59/134 +[2025-03-25 07:17:30,568 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 60/134 +[2025-03-25 07:17:30,597 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 61/134 +[2025-03-25 07:17:30,627 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 62/134 +[2025-03-25 07:17:30,663 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 63/134 +[2025-03-25 07:17:30,700 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 64/134 +[2025-03-25 07:17:30,736 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:31,113 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 76/134 +[2025-03-25 07:17:31,142 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 77/134 +[2025-03-25 07:17:31,172 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 78/134 +[2025-03-25 07:17:31,202 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 79/134 +[2025-03-25 07:17:31,232 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 80/134 +[2025-03-25 07:17:31,262 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 81/134 +[2025-03-25 07:17:31,306 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 82/134 +[2025-03-25 07:17:31,336 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 83/134 +[2025-03-25 07:17:31,366 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 84/134 +[2025-03-25 07:17:31,396 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 85/134 +[2025-03-25 07:17:31,425 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 86/134 +[2025-03-25 07:17:31,455 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 87/134 +[2025-03-25 07:17:31,487 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 88/134 +[2025-03-25 07:17:31,518 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 89/134 +[2025-03-25 07:17:31,548 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 90/134 +[2025-03-25 07:17:31,579 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 91/134 +[2025-03-25 07:17:31,611 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 92/134 +[2025-03-25 07:17:31,642 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 93/134 +[2025-03-25 07:17:31,672 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 94/134 +[2025-03-25 07:17:31,702 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 95/134 +[2025-03-25 07:17:31,731 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:32,078 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 107/134 +[2025-03-25 07:17:32,109 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 108/134 +[2025-03-25 07:17:32,140 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 109/134 +[2025-03-25 07:17:32,170 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 110/134 +[2025-03-25 07:17:32,200 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 111/134 +[2025-03-25 07:17:32,230 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 112/134 +[2025-03-25 07:17:32,261 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 113/134 +[2025-03-25 07:17:32,291 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 114/134 +[2025-03-25 07:17:32,328 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 115/134 +[2025-03-25 07:17:32,359 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 116/134 +[2025-03-25 07:17:32,401 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 117/134 +[2025-03-25 07:17:32,431 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 118/134 +[2025-03-25 07:17:32,462 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 119/134 +[2025-03-25 07:17:32,500 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 120/134 +[2025-03-25 07:17:32,542 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 121/134 +[2025-03-25 07:17:32,581 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 122/134 +[2025-03-25 07:17:32,619 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 123/134 +[2025-03-25 07:17:32,658 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 124/134 +[2025-03-25 07:17:32,696 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 125/134 +[2025-03-25 07:17:32,734 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 126/134 +[2025-03-25 07:17:32,772 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 127/134 +[2025-03-25 07:17:32,820 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 128/134 +[2025-03-25 07:17:32,858 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 129/134 +[2025-03-25 07:17:32,887 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 130/134 +[2025-03-25 07:17:32,916 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 131/134 +[2025-03-25 07:17:32,945 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 132/134 +[2025-03-25 07:17:32,974 INFO test.py line 201 195048] Test: 36/78-scene0131_01, Batch: 133/134 +[2025-03-25 07:17:33,153 INFO test.py line 291 195048] Test: scene0131_01 [36/78]-172221 Batch 4.440 (4.350) Accuracy 0.8522 (0.7604) mIoU 0.2459 (0.6701) +[2025-03-25 07:17:33,184 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 0/131 +[2025-03-25 07:17:33,210 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 1/131 +[2025-03-25 07:17:33,236 INFO 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line 201 195048] Test: 37/78-scene0086_00, Batch: 33/131 +[2025-03-25 07:17:34,072 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 34/131 +[2025-03-25 07:17:34,098 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 35/131 +[2025-03-25 07:17:34,131 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 36/131 +[2025-03-25 07:17:34,161 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 37/131 +[2025-03-25 07:17:34,193 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 38/131 +[2025-03-25 07:17:34,225 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 39/131 +[2025-03-25 07:17:34,258 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 40/131 +[2025-03-25 07:17:34,283 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 41/131 +[2025-03-25 07:17:34,315 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 42/131 +[2025-03-25 07:17:34,347 INFO test.py line 201 195048] Test: 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07:17:36,522 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 126/131 +[2025-03-25 07:17:36,555 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 127/131 +[2025-03-25 07:17:36,588 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 128/131 +[2025-03-25 07:17:36,622 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 129/131 +[2025-03-25 07:17:36,656 INFO test.py line 201 195048] Test: 37/78-scene0086_00, Batch: 130/131 +[2025-03-25 07:17:36,784 INFO test.py line 291 195048] Test: scene0086_00 [37/78]-124572 Batch 3.631 (4.330) Accuracy 0.9236 (0.7618) mIoU 0.5599 (0.6718) +[2025-03-25 07:17:36,821 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 0/113 +[2025-03-25 07:17:36,854 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 1/113 +[2025-03-25 07:17:36,887 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 2/113 +[2025-03-25 07:17:36,923 INFO test.py line 201 195048] Test: 38/78-scene0196_00, 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+[2025-03-25 07:17:37,870 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 35/113 +[2025-03-25 07:17:37,897 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 36/113 +[2025-03-25 07:17:37,924 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 37/113 +[2025-03-25 07:17:37,950 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 38/113 +[2025-03-25 07:17:37,977 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 39/113 +[2025-03-25 07:17:38,005 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 40/113 +[2025-03-25 07:17:38,032 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 41/113 +[2025-03-25 07:17:38,059 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 42/113 +[2025-03-25 07:17:38,088 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 43/113 +[2025-03-25 07:17:38,115 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 44/113 +[2025-03-25 07:17:38,142 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 45/113 +[2025-03-25 07:17:38,170 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 46/113 +[2025-03-25 07:17:38,196 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 47/113 +[2025-03-25 07:17:38,233 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 48/113 +[2025-03-25 07:17:38,260 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 49/113 +[2025-03-25 07:17:38,292 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 50/113 +[2025-03-25 07:17:38,318 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 51/113 +[2025-03-25 07:17:38,346 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 52/113 +[2025-03-25 07:17:38,373 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 53/113 +[2025-03-25 07:17:38,401 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 54/113 +[2025-03-25 07:17:38,428 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:38,728 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 66/113 +[2025-03-25 07:17:38,755 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 67/113 +[2025-03-25 07:17:38,783 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 68/113 +[2025-03-25 07:17:38,816 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 69/113 +[2025-03-25 07:17:38,845 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 70/113 +[2025-03-25 07:17:38,872 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 71/113 +[2025-03-25 07:17:38,901 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 72/113 +[2025-03-25 07:17:38,929 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 73/113 +[2025-03-25 07:17:38,958 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 74/113 +[2025-03-25 07:17:38,986 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 75/113 +[2025-03-25 07:17:39,015 INFO test.py 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+[2025-03-25 07:17:39,621 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 97/113 +[2025-03-25 07:17:39,649 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 98/113 +[2025-03-25 07:17:39,678 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 99/113 +[2025-03-25 07:17:39,706 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 100/113 +[2025-03-25 07:17:39,734 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 101/113 +[2025-03-25 07:17:39,763 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 102/113 +[2025-03-25 07:17:39,791 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 103/113 +[2025-03-25 07:17:39,819 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 104/113 +[2025-03-25 07:17:39,847 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 105/113 +[2025-03-25 07:17:39,875 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 106/113 +[2025-03-25 07:17:39,904 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 107/113 +[2025-03-25 07:17:39,932 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 108/113 +[2025-03-25 07:17:39,960 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 109/113 +[2025-03-25 07:17:39,987 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 110/113 +[2025-03-25 07:17:40,015 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 111/113 +[2025-03-25 07:17:40,042 INFO test.py line 201 195048] Test: 38/78-scene0196_00, Batch: 112/113 +[2025-03-25 07:17:40,203 INFO test.py line 291 195048] Test: scene0196_00 [38/78]-146032 Batch 3.419 (4.306) Accuracy 0.9600 (0.7628) mIoU 0.5983 (0.6730) +[2025-03-25 07:17:40,245 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 0/129 +[2025-03-25 07:17:40,279 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 1/129 +[2025-03-25 07:17:40,312 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 2/129 +[2025-03-25 07:17:40,346 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 3/129 +[2025-03-25 07:17:40,379 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 4/129 +[2025-03-25 07:17:40,413 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 5/129 +[2025-03-25 07:17:40,446 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 6/129 +[2025-03-25 07:17:40,480 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 7/129 +[2025-03-25 07:17:40,513 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 8/129 +[2025-03-25 07:17:40,546 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 9/129 +[2025-03-25 07:17:40,580 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 10/129 +[2025-03-25 07:17:40,615 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 11/129 +[2025-03-25 07:17:40,649 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 12/129 +[2025-03-25 07:17:40,684 INFO test.py line 201 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+[2025-03-25 07:17:42,097 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 55/129 +[2025-03-25 07:17:42,130 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 56/129 +[2025-03-25 07:17:42,162 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 57/129 +[2025-03-25 07:17:42,193 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 58/129 +[2025-03-25 07:17:42,226 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 59/129 +[2025-03-25 07:17:42,258 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 60/129 +[2025-03-25 07:17:42,289 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 61/129 +[2025-03-25 07:17:42,322 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 62/129 +[2025-03-25 07:17:42,361 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 63/129 +[2025-03-25 07:17:42,399 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 64/129 +[2025-03-25 07:17:42,438 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 65/129 +[2025-03-25 07:17:42,479 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 66/129 +[2025-03-25 07:17:42,529 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 67/129 +[2025-03-25 07:17:42,576 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 68/129 +[2025-03-25 07:17:42,618 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 69/129 +[2025-03-25 07:17:42,662 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 70/129 +[2025-03-25 07:17:42,710 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 71/129 +[2025-03-25 07:17:42,757 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 72/129 +[2025-03-25 07:17:42,802 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 73/129 +[2025-03-25 07:17:42,844 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 74/129 +[2025-03-25 07:17:42,892 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:43,295 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 86/129 +[2025-03-25 07:17:43,330 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 87/129 +[2025-03-25 07:17:43,365 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 88/129 +[2025-03-25 07:17:43,400 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 89/129 +[2025-03-25 07:17:43,435 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 90/129 +[2025-03-25 07:17:43,471 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 91/129 +[2025-03-25 07:17:43,507 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 92/129 +[2025-03-25 07:17:43,552 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 93/129 +[2025-03-25 07:17:43,589 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 94/129 +[2025-03-25 07:17:43,624 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 95/129 +[2025-03-25 07:17:43,659 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 96/129 +[2025-03-25 07:17:43,695 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 97/129 +[2025-03-25 07:17:43,729 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 98/129 +[2025-03-25 07:17:43,764 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 99/129 +[2025-03-25 07:17:43,799 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 100/129 +[2025-03-25 07:17:43,834 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 101/129 +[2025-03-25 07:17:43,869 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 102/129 +[2025-03-25 07:17:43,904 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 103/129 +[2025-03-25 07:17:43,938 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 104/129 +[2025-03-25 07:17:43,997 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 105/129 +[2025-03-25 07:17:44,032 INFO test.py line 201 195048] Test: 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07:17:44,802 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 127/129 +[2025-03-25 07:17:44,842 INFO test.py line 201 195048] Test: 39/78-scene0050_00, Batch: 128/129 +[2025-03-25 07:17:45,069 INFO test.py line 291 195048] Test: scene0050_00 [39/78]-211406 Batch 4.866 (4.321) Accuracy 0.7703 (0.7615) mIoU 0.3417 (0.6704) +[2025-03-25 07:17:45,127 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 0/138 +[2025-03-25 07:17:45,172 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 1/138 +[2025-03-25 07:17:45,366 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 2/138 +[2025-03-25 07:17:45,449 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 3/138 +[2025-03-25 07:17:45,513 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 4/138 +[2025-03-25 07:17:45,563 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 5/138 +[2025-03-25 07:17:45,607 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 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test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 17/138 +[2025-03-25 07:17:46,111 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 18/138 +[2025-03-25 07:17:46,154 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 19/138 +[2025-03-25 07:17:46,197 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 20/138 +[2025-03-25 07:17:46,240 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 21/138 +[2025-03-25 07:17:46,290 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 22/138 +[2025-03-25 07:17:46,342 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 23/138 +[2025-03-25 07:17:46,395 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 24/138 +[2025-03-25 07:17:46,451 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 25/138 +[2025-03-25 07:17:46,504 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 26/138 +[2025-03-25 07:17:46,557 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:47,077 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 38/138 +[2025-03-25 07:17:47,121 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 39/138 +[2025-03-25 07:17:47,164 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 40/138 +[2025-03-25 07:17:47,206 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 41/138 +[2025-03-25 07:17:47,247 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 42/138 +[2025-03-25 07:17:47,290 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 43/138 +[2025-03-25 07:17:47,333 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 44/138 +[2025-03-25 07:17:47,375 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 45/138 +[2025-03-25 07:17:47,418 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 46/138 +[2025-03-25 07:17:47,462 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 47/138 +[2025-03-25 07:17:47,508 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 48/138 +[2025-03-25 07:17:47,550 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 49/138 +[2025-03-25 07:17:47,593 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 50/138 +[2025-03-25 07:17:47,635 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 51/138 +[2025-03-25 07:17:47,679 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 52/138 +[2025-03-25 07:17:47,721 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 53/138 +[2025-03-25 07:17:47,765 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 54/138 +[2025-03-25 07:17:47,809 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 55/138 +[2025-03-25 07:17:47,854 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 56/138 +[2025-03-25 07:17:47,898 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 57/138 +[2025-03-25 07:17:47,942 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:48,403 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 69/138 +[2025-03-25 07:17:48,443 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 70/138 +[2025-03-25 07:17:48,488 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 71/138 +[2025-03-25 07:17:48,529 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 72/138 +[2025-03-25 07:17:48,569 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 73/138 +[2025-03-25 07:17:48,609 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 74/138 +[2025-03-25 07:17:48,648 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 75/138 +[2025-03-25 07:17:48,687 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 76/138 +[2025-03-25 07:17:48,726 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 77/138 +[2025-03-25 07:17:48,766 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 78/138 +[2025-03-25 07:17:48,807 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 79/138 +[2025-03-25 07:17:48,846 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 80/138 +[2025-03-25 07:17:48,886 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 81/138 +[2025-03-25 07:17:48,926 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 82/138 +[2025-03-25 07:17:48,970 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 83/138 +[2025-03-25 07:17:49,014 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 84/138 +[2025-03-25 07:17:49,057 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 85/138 +[2025-03-25 07:17:49,100 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 86/138 +[2025-03-25 07:17:49,148 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 87/138 +[2025-03-25 07:17:49,192 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 88/138 +[2025-03-25 07:17:49,235 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:49,711 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 100/138 +[2025-03-25 07:17:49,754 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 101/138 +[2025-03-25 07:17:49,797 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 102/138 +[2025-03-25 07:17:49,841 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 103/138 +[2025-03-25 07:17:49,884 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 104/138 +[2025-03-25 07:17:49,928 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 105/138 +[2025-03-25 07:17:49,971 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 106/138 +[2025-03-25 07:17:50,014 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 107/138 +[2025-03-25 07:17:50,057 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 108/138 +[2025-03-25 07:17:50,100 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 109/138 +[2025-03-25 07:17:50,144 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 110/138 +[2025-03-25 07:17:50,187 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 111/138 +[2025-03-25 07:17:50,230 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 112/138 +[2025-03-25 07:17:50,273 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 113/138 +[2025-03-25 07:17:50,315 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 114/138 +[2025-03-25 07:17:50,359 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 115/138 +[2025-03-25 07:17:50,401 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 116/138 +[2025-03-25 07:17:50,446 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 117/138 +[2025-03-25 07:17:50,489 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 118/138 +[2025-03-25 07:17:50,532 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 119/138 +[2025-03-25 07:17:50,575 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 120/138 +[2025-03-25 07:17:50,618 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 121/138 +[2025-03-25 07:17:50,661 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 122/138 +[2025-03-25 07:17:50,705 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 123/138 +[2025-03-25 07:17:50,748 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 124/138 +[2025-03-25 07:17:50,793 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 125/138 +[2025-03-25 07:17:50,837 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 126/138 +[2025-03-25 07:17:50,880 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 127/138 +[2025-03-25 07:17:50,922 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 128/138 +[2025-03-25 07:17:50,963 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 129/138 +[2025-03-25 07:17:51,003 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 130/138 +[2025-03-25 07:17:51,044 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 131/138 +[2025-03-25 07:17:51,085 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 132/138 +[2025-03-25 07:17:51,126 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 133/138 +[2025-03-25 07:17:51,168 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 134/138 +[2025-03-25 07:17:51,210 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 135/138 +[2025-03-25 07:17:51,251 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 136/138 +[2025-03-25 07:17:51,292 INFO test.py line 201 195048] Test: 40/78-scene0616_00, Batch: 137/138 +[2025-03-25 07:17:51,633 INFO test.py line 291 195048] Test: scene0616_00 [40/78]-310248 Batch 6.563 (4.377) Accuracy 0.8023 (0.7548) mIoU 0.4825 (0.6641) +[2025-03-25 07:17:51,677 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 0/142 +[2025-03-25 07:17:51,710 INFO test.py line 201 195048] Test: 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07:17:52,070 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 12/142 +[2025-03-25 07:17:52,104 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 13/142 +[2025-03-25 07:17:52,137 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 14/142 +[2025-03-25 07:17:52,169 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 15/142 +[2025-03-25 07:17:52,202 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 16/142 +[2025-03-25 07:17:52,234 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 17/142 +[2025-03-25 07:17:52,273 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 18/142 +[2025-03-25 07:17:52,312 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 19/142 +[2025-03-25 07:17:52,352 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 20/142 +[2025-03-25 07:17:52,391 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 21/142 +[2025-03-25 07:17:52,429 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 22/142 +[2025-03-25 07:17:52,467 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 23/142 +[2025-03-25 07:17:52,506 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 24/142 +[2025-03-25 07:17:52,544 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 25/142 +[2025-03-25 07:17:52,587 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 26/142 +[2025-03-25 07:17:52,625 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 27/142 +[2025-03-25 07:17:52,665 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 28/142 +[2025-03-25 07:17:52,707 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 29/142 +[2025-03-25 07:17:52,752 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 30/142 +[2025-03-25 07:17:52,790 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 31/142 +[2025-03-25 07:17:52,827 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 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test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 43/142 +[2025-03-25 07:17:53,298 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 44/142 +[2025-03-25 07:17:53,345 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 45/142 +[2025-03-25 07:17:53,390 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 46/142 +[2025-03-25 07:17:53,423 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 47/142 +[2025-03-25 07:17:53,456 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 48/142 +[2025-03-25 07:17:53,489 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 49/142 +[2025-03-25 07:17:53,521 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 50/142 +[2025-03-25 07:17:53,554 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 51/142 +[2025-03-25 07:17:53,587 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 52/142 +[2025-03-25 07:17:53,620 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:53,987 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 64/142 +[2025-03-25 07:17:54,020 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 65/142 +[2025-03-25 07:17:54,054 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 66/142 +[2025-03-25 07:17:54,087 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 67/142 +[2025-03-25 07:17:54,121 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 68/142 +[2025-03-25 07:17:54,155 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 69/142 +[2025-03-25 07:17:54,189 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 70/142 +[2025-03-25 07:17:54,222 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 71/142 +[2025-03-25 07:17:54,256 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 72/142 +[2025-03-25 07:17:54,290 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 73/142 +[2025-03-25 07:17:54,323 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 74/142 +[2025-03-25 07:17:54,356 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 75/142 +[2025-03-25 07:17:54,389 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 76/142 +[2025-03-25 07:17:54,422 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 77/142 +[2025-03-25 07:17:54,456 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 78/142 +[2025-03-25 07:17:54,488 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 79/142 +[2025-03-25 07:17:54,521 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 80/142 +[2025-03-25 07:17:54,554 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 81/142 +[2025-03-25 07:17:54,588 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 82/142 +[2025-03-25 07:17:54,622 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 83/142 +[2025-03-25 07:17:54,655 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:17:55,093 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 95/142 +[2025-03-25 07:17:55,130 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 96/142 +[2025-03-25 07:17:55,167 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 97/142 +[2025-03-25 07:17:55,203 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 98/142 +[2025-03-25 07:17:55,240 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 99/142 +[2025-03-25 07:17:55,277 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 100/142 +[2025-03-25 07:17:55,313 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 101/142 +[2025-03-25 07:17:55,350 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 102/142 +[2025-03-25 07:17:55,387 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 103/142 +[2025-03-25 07:17:55,424 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 104/142 +[2025-03-25 07:17:55,460 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 105/142 +[2025-03-25 07:17:55,502 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 106/142 +[2025-03-25 07:17:55,538 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 107/142 +[2025-03-25 07:17:55,575 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 108/142 +[2025-03-25 07:17:55,611 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 109/142 +[2025-03-25 07:17:55,649 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 110/142 +[2025-03-25 07:17:55,686 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 111/142 +[2025-03-25 07:17:55,722 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 112/142 +[2025-03-25 07:17:55,759 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 113/142 +[2025-03-25 07:17:55,797 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 114/142 +[2025-03-25 07:17:55,834 INFO test.py line 201 195048] Test: 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125/142 +[2025-03-25 07:17:56,245 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 126/142 +[2025-03-25 07:17:56,282 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 127/142 +[2025-03-25 07:17:56,322 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 128/142 +[2025-03-25 07:17:56,360 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 129/142 +[2025-03-25 07:17:56,398 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 130/142 +[2025-03-25 07:17:56,436 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 131/142 +[2025-03-25 07:17:56,474 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 132/142 +[2025-03-25 07:17:56,511 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 133/142 +[2025-03-25 07:17:56,550 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 134/142 +[2025-03-25 07:17:56,589 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 135/142 +[2025-03-25 07:17:56,628 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 136/142 +[2025-03-25 07:17:56,668 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 137/142 +[2025-03-25 07:17:56,711 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 138/142 +[2025-03-25 07:17:56,754 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 139/142 +[2025-03-25 07:17:56,796 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 140/142 +[2025-03-25 07:17:56,839 INFO test.py line 201 195048] Test: 41/78-scene0095_00, Batch: 141/142 +[2025-03-25 07:17:57,074 INFO test.py line 291 195048] Test: scene0095_00 [41/78]-214895 Batch 5.440 (4.403) Accuracy 0.8899 (0.7551) mIoU 0.5432 (0.6644) +[2025-03-25 07:17:57,108 INFO test.py line 201 195048] Test: 42/78-scene0701_01, Batch: 0/139 +[2025-03-25 07:17:57,134 INFO test.py line 201 195048] Test: 42/78-scene0701_01, Batch: 1/139 +[2025-03-25 07:17:57,161 INFO test.py line 201 195048] Test: 42/78-scene0701_01, 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07:18:00,696 INFO test.py line 201 195048] Test: 42/78-scene0701_01, Batch: 137/139 +[2025-03-25 07:18:00,719 INFO test.py line 201 195048] Test: 42/78-scene0701_01, Batch: 138/139 +[2025-03-25 07:18:00,804 INFO test.py line 291 195048] Test: scene0701_01 [42/78]-77206 Batch 3.730 (4.387) Accuracy 0.9644 (0.7583) mIoU 0.5408 (0.6701) +[2025-03-25 07:18:00,832 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 0/112 +[2025-03-25 07:18:00,853 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 1/112 +[2025-03-25 07:18:00,875 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 2/112 +[2025-03-25 07:18:00,909 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 3/112 +[2025-03-25 07:18:00,937 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 4/112 +[2025-03-25 07:18:00,965 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 5/112 +[2025-03-25 07:18:00,993 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 6/112 +[2025-03-25 07:18:01,015 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 7/112 +[2025-03-25 07:18:01,037 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 8/112 +[2025-03-25 07:18:01,059 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 9/112 +[2025-03-25 07:18:01,080 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 10/112 +[2025-03-25 07:18:01,102 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 11/112 +[2025-03-25 07:18:01,125 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 12/112 +[2025-03-25 07:18:01,147 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 13/112 +[2025-03-25 07:18:01,170 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 14/112 +[2025-03-25 07:18:01,202 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 15/112 +[2025-03-25 07:18:01,228 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 16/112 +[2025-03-25 07:18:01,248 INFO test.py line 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+[2025-03-25 07:18:02,965 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 90/112 +[2025-03-25 07:18:02,989 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 91/112 +[2025-03-25 07:18:03,011 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 92/112 +[2025-03-25 07:18:03,033 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 93/112 +[2025-03-25 07:18:03,057 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 94/112 +[2025-03-25 07:18:03,080 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 95/112 +[2025-03-25 07:18:03,104 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 96/112 +[2025-03-25 07:18:03,127 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 97/112 +[2025-03-25 07:18:03,150 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 98/112 +[2025-03-25 07:18:03,173 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 99/112 +[2025-03-25 07:18:03,197 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 100/112 +[2025-03-25 07:18:03,220 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 101/112 +[2025-03-25 07:18:03,244 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 102/112 +[2025-03-25 07:18:03,267 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 103/112 +[2025-03-25 07:18:03,290 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 104/112 +[2025-03-25 07:18:03,313 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 105/112 +[2025-03-25 07:18:03,337 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 106/112 +[2025-03-25 07:18:03,360 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 107/112 +[2025-03-25 07:18:03,383 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 108/112 +[2025-03-25 07:18:03,405 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 109/112 +[2025-03-25 07:18:03,427 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 110/112 +[2025-03-25 07:18:03,450 INFO test.py line 201 195048] Test: 43/78-scene0406_01, Batch: 111/112 +[2025-03-25 07:18:03,502 INFO test.py line 291 195048] Test: scene0406_01 [43/78]-45557 Batch 2.698 (4.347) Accuracy 0.9709 (0.7608) mIoU 0.9117 (0.6752) +[2025-03-25 07:18:05,335 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 0/118 +[2025-03-25 07:18:05,400 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 1/118 +[2025-03-25 07:18:05,460 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 2/118 +[2025-03-25 07:18:05,513 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 3/118 +[2025-03-25 07:18:05,573 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 4/118 +[2025-03-25 07:18:05,638 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 5/118 +[2025-03-25 07:18:05,697 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 6/118 +[2025-03-25 07:18:05,769 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 7/118 +[2025-03-25 07:18:05,844 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 8/118 +[2025-03-25 07:18:05,908 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 9/118 +[2025-03-25 07:18:05,959 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 10/118 +[2025-03-25 07:18:06,009 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 11/118 +[2025-03-25 07:18:06,060 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 12/118 +[2025-03-25 07:18:06,111 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 13/118 +[2025-03-25 07:18:06,162 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 14/118 +[2025-03-25 07:18:06,223 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 15/118 +[2025-03-25 07:18:06,293 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 16/118 +[2025-03-25 07:18:06,354 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 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+[2025-03-25 07:18:08,052 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 49/118 +[2025-03-25 07:18:08,105 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 50/118 +[2025-03-25 07:18:08,165 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 51/118 +[2025-03-25 07:18:08,214 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 52/118 +[2025-03-25 07:18:08,262 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 53/118 +[2025-03-25 07:18:08,308 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 54/118 +[2025-03-25 07:18:08,354 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 55/118 +[2025-03-25 07:18:08,401 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 56/118 +[2025-03-25 07:18:08,447 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 57/118 +[2025-03-25 07:18:08,494 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 58/118 +[2025-03-25 07:18:08,541 INFO test.py 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+[2025-03-25 07:18:09,557 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 80/118 +[2025-03-25 07:18:09,610 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 81/118 +[2025-03-25 07:18:09,662 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 82/118 +[2025-03-25 07:18:09,715 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 83/118 +[2025-03-25 07:18:09,767 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 84/118 +[2025-03-25 07:18:09,819 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 85/118 +[2025-03-25 07:18:09,872 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 86/118 +[2025-03-25 07:18:09,927 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 87/118 +[2025-03-25 07:18:09,983 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 88/118 +[2025-03-25 07:18:10,038 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 89/118 +[2025-03-25 07:18:10,093 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 90/118 +[2025-03-25 07:18:10,150 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 91/118 +[2025-03-25 07:18:10,205 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 92/118 +[2025-03-25 07:18:10,261 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 93/118 +[2025-03-25 07:18:10,317 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 94/118 +[2025-03-25 07:18:10,373 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 95/118 +[2025-03-25 07:18:10,430 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 96/118 +[2025-03-25 07:18:10,490 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 97/118 +[2025-03-25 07:18:10,547 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 98/118 +[2025-03-25 07:18:10,609 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 99/118 +[2025-03-25 07:18:10,664 INFO test.py line 201 195048] Test: 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110/118 +[2025-03-25 07:18:11,264 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 111/118 +[2025-03-25 07:18:11,316 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 112/118 +[2025-03-25 07:18:11,368 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 113/118 +[2025-03-25 07:18:11,422 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 114/118 +[2025-03-25 07:18:11,474 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 115/118 +[2025-03-25 07:18:11,525 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 116/118 +[2025-03-25 07:18:11,578 INFO test.py line 201 195048] Test: 44/78-scene0329_01, Batch: 117/118 +[2025-03-25 07:18:11,999 INFO test.py line 291 195048] Test: scene0329_01 [44/78]-368473 Batch 6.756 (4.402) Accuracy 0.9429 (0.7629) mIoU 0.5488 (0.6771) +[2025-03-25 07:18:12,025 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 0/104 +[2025-03-25 07:18:12,048 INFO test.py line 201 195048] Test: 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07:18:12,300 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 12/104 +[2025-03-25 07:18:12,322 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 13/104 +[2025-03-25 07:18:12,343 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 14/104 +[2025-03-25 07:18:12,366 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 15/104 +[2025-03-25 07:18:12,388 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 16/104 +[2025-03-25 07:18:12,410 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 17/104 +[2025-03-25 07:18:12,433 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 18/104 +[2025-03-25 07:18:12,455 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 19/104 +[2025-03-25 07:18:12,476 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 20/104 +[2025-03-25 07:18:12,498 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 21/104 +[2025-03-25 07:18:12,520 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 22/104 +[2025-03-25 07:18:12,542 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 23/104 +[2025-03-25 07:18:12,564 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 24/104 +[2025-03-25 07:18:12,586 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 25/104 +[2025-03-25 07:18:12,607 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 26/104 +[2025-03-25 07:18:12,629 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 27/104 +[2025-03-25 07:18:12,651 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 28/104 +[2025-03-25 07:18:12,673 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 29/104 +[2025-03-25 07:18:12,694 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 30/104 +[2025-03-25 07:18:12,716 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 31/104 +[2025-03-25 07:18:12,738 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 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test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 43/104 +[2025-03-25 07:18:13,000 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 44/104 +[2025-03-25 07:18:13,022 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 45/104 +[2025-03-25 07:18:13,044 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 46/104 +[2025-03-25 07:18:13,066 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 47/104 +[2025-03-25 07:18:13,088 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 48/104 +[2025-03-25 07:18:13,110 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 49/104 +[2025-03-25 07:18:13,130 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 50/104 +[2025-03-25 07:18:13,152 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 51/104 +[2025-03-25 07:18:13,174 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 52/104 +[2025-03-25 07:18:13,196 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:13,452 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 64/104 +[2025-03-25 07:18:13,482 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 65/104 +[2025-03-25 07:18:13,528 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 66/104 +[2025-03-25 07:18:13,574 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 67/104 +[2025-03-25 07:18:13,619 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 68/104 +[2025-03-25 07:18:13,656 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 69/104 +[2025-03-25 07:18:13,677 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 70/104 +[2025-03-25 07:18:13,702 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 71/104 +[2025-03-25 07:18:13,723 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 72/104 +[2025-03-25 07:18:13,745 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 73/104 +[2025-03-25 07:18:13,767 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 74/104 +[2025-03-25 07:18:13,790 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 75/104 +[2025-03-25 07:18:13,812 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 76/104 +[2025-03-25 07:18:13,832 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 77/104 +[2025-03-25 07:18:13,854 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 78/104 +[2025-03-25 07:18:13,874 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 79/104 +[2025-03-25 07:18:13,895 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 80/104 +[2025-03-25 07:18:13,915 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 81/104 +[2025-03-25 07:18:13,936 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 82/104 +[2025-03-25 07:18:13,961 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 83/104 +[2025-03-25 07:18:13,987 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 84/104 +[2025-03-25 07:18:14,012 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 85/104 +[2025-03-25 07:18:14,036 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 86/104 +[2025-03-25 07:18:14,060 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 87/104 +[2025-03-25 07:18:14,086 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 88/104 +[2025-03-25 07:18:14,110 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 89/104 +[2025-03-25 07:18:14,135 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 90/104 +[2025-03-25 07:18:14,160 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 91/104 +[2025-03-25 07:18:14,187 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 92/104 +[2025-03-25 07:18:14,213 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 93/104 +[2025-03-25 07:18:14,239 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 94/104 +[2025-03-25 07:18:14,269 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 95/104 +[2025-03-25 07:18:14,299 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 96/104 +[2025-03-25 07:18:14,329 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 97/104 +[2025-03-25 07:18:14,361 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 98/104 +[2025-03-25 07:18:14,389 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 99/104 +[2025-03-25 07:18:14,422 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 100/104 +[2025-03-25 07:18:14,450 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 101/104 +[2025-03-25 07:18:14,481 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 102/104 +[2025-03-25 07:18:14,504 INFO test.py line 201 195048] Test: 45/78-scene0100_01, Batch: 103/104 +[2025-03-25 07:18:14,564 INFO test.py line 291 195048] Test: scene0100_01 [45/78]-51211 Batch 2.564 (4.361) Accuracy 0.8996 (0.7633) mIoU 0.4939 (0.6752) +[2025-03-25 07:18:14,602 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 0/127 +[2025-03-25 07:18:14,646 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 1/127 +[2025-03-25 07:18:14,670 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 2/127 +[2025-03-25 07:18:14,691 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 3/127 +[2025-03-25 07:18:14,720 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 4/127 +[2025-03-25 07:18:14,744 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 5/127 +[2025-03-25 07:18:14,769 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 6/127 +[2025-03-25 07:18:14,793 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 7/127 +[2025-03-25 07:18:14,816 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 8/127 +[2025-03-25 07:18:14,846 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 9/127 +[2025-03-25 07:18:14,870 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 10/127 +[2025-03-25 07:18:14,893 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 11/127 +[2025-03-25 07:18:14,916 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 12/127 +[2025-03-25 07:18:14,939 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 13/127 +[2025-03-25 07:18:14,961 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 14/127 +[2025-03-25 07:18:14,985 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 15/127 +[2025-03-25 07:18:15,008 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 16/127 +[2025-03-25 07:18:15,032 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 17/127 +[2025-03-25 07:18:15,055 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 18/127 +[2025-03-25 07:18:15,078 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 19/127 +[2025-03-25 07:18:15,101 INFO test.py line 201 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+[2025-03-25 07:18:16,157 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 62/127 +[2025-03-25 07:18:16,189 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 63/127 +[2025-03-25 07:18:16,219 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 64/127 +[2025-03-25 07:18:16,249 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 65/127 +[2025-03-25 07:18:16,272 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 66/127 +[2025-03-25 07:18:16,295 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 67/127 +[2025-03-25 07:18:16,318 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 68/127 +[2025-03-25 07:18:16,341 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 69/127 +[2025-03-25 07:18:16,365 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 70/127 +[2025-03-25 07:18:16,389 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 71/127 +[2025-03-25 07:18:16,412 INFO test.py 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+[2025-03-25 07:18:16,945 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 93/127 +[2025-03-25 07:18:16,969 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 94/127 +[2025-03-25 07:18:16,993 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 95/127 +[2025-03-25 07:18:17,016 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 96/127 +[2025-03-25 07:18:17,040 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 97/127 +[2025-03-25 07:18:17,063 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 98/127 +[2025-03-25 07:18:17,087 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 99/127 +[2025-03-25 07:18:17,111 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 100/127 +[2025-03-25 07:18:17,135 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 101/127 +[2025-03-25 07:18:17,159 INFO test.py line 201 195048] Test: 46/78-scene0664_02, Batch: 102/127 +[2025-03-25 07:18:17,182 INFO 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+[2025-03-25 07:18:18,379 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 16/126 +[2025-03-25 07:18:18,416 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 17/126 +[2025-03-25 07:18:18,453 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 18/126 +[2025-03-25 07:18:18,493 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 19/126 +[2025-03-25 07:18:18,536 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 20/126 +[2025-03-25 07:18:18,578 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 21/126 +[2025-03-25 07:18:18,616 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 22/126 +[2025-03-25 07:18:18,664 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 23/126 +[2025-03-25 07:18:18,708 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 24/126 +[2025-03-25 07:18:18,755 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 25/126 +[2025-03-25 07:18:18,824 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 26/126 +[2025-03-25 07:18:18,888 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 27/126 +[2025-03-25 07:18:18,918 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 28/126 +[2025-03-25 07:18:18,948 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 29/126 +[2025-03-25 07:18:18,979 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 30/126 +[2025-03-25 07:18:19,010 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 31/126 +[2025-03-25 07:18:19,041 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 32/126 +[2025-03-25 07:18:19,071 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 33/126 +[2025-03-25 07:18:19,101 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 34/126 +[2025-03-25 07:18:19,131 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 35/126 +[2025-03-25 07:18:19,162 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:19,478 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 47/126 +[2025-03-25 07:18:19,504 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 48/126 +[2025-03-25 07:18:19,531 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 49/126 +[2025-03-25 07:18:19,557 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 50/126 +[2025-03-25 07:18:19,583 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 51/126 +[2025-03-25 07:18:19,608 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 52/126 +[2025-03-25 07:18:19,634 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 53/126 +[2025-03-25 07:18:19,660 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 54/126 +[2025-03-25 07:18:19,686 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 55/126 +[2025-03-25 07:18:19,711 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 56/126 +[2025-03-25 07:18:19,737 INFO test.py 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07:18:21,501 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 119/126 +[2025-03-25 07:18:21,529 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 120/126 +[2025-03-25 07:18:21,559 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 121/126 +[2025-03-25 07:18:21,587 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 122/126 +[2025-03-25 07:18:21,615 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 123/126 +[2025-03-25 07:18:21,691 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 124/126 +[2025-03-25 07:18:21,725 INFO test.py line 201 195048] Test: 47/78-scene0357_00, Batch: 125/126 +[2025-03-25 07:18:21,876 INFO test.py line 291 195048] Test: scene0357_00 [47/78]-136945 Batch 4.090 (4.331) Accuracy 0.7329 (0.7561) mIoU 0.2955 (0.6715) +[2025-03-25 07:18:21,924 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 0/125 +[2025-03-25 07:18:21,959 INFO test.py line 201 195048] Test: 48/78-scene0474_00, 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+[2025-03-25 07:18:23,120 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 33/125 +[2025-03-25 07:18:23,155 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 34/125 +[2025-03-25 07:18:23,199 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 35/125 +[2025-03-25 07:18:23,232 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 36/125 +[2025-03-25 07:18:23,264 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 37/125 +[2025-03-25 07:18:23,296 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 38/125 +[2025-03-25 07:18:23,328 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 39/125 +[2025-03-25 07:18:23,361 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 40/125 +[2025-03-25 07:18:23,393 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 41/125 +[2025-03-25 07:18:23,426 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 42/125 +[2025-03-25 07:18:23,458 INFO test.py 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+[2025-03-25 07:18:24,160 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 64/125 +[2025-03-25 07:18:24,193 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 65/125 +[2025-03-25 07:18:24,226 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 66/125 +[2025-03-25 07:18:24,260 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 67/125 +[2025-03-25 07:18:24,301 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 68/125 +[2025-03-25 07:18:24,344 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 69/125 +[2025-03-25 07:18:24,395 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 70/125 +[2025-03-25 07:18:24,440 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 71/125 +[2025-03-25 07:18:24,483 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 72/125 +[2025-03-25 07:18:24,524 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 73/125 +[2025-03-25 07:18:24,568 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 74/125 +[2025-03-25 07:18:24,615 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 75/125 +[2025-03-25 07:18:24,655 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 76/125 +[2025-03-25 07:18:24,692 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 77/125 +[2025-03-25 07:18:24,730 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 78/125 +[2025-03-25 07:18:24,765 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 79/125 +[2025-03-25 07:18:24,801 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 80/125 +[2025-03-25 07:18:24,839 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 81/125 +[2025-03-25 07:18:24,872 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 82/125 +[2025-03-25 07:18:24,907 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 83/125 +[2025-03-25 07:18:24,939 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:25,313 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 95/125 +[2025-03-25 07:18:25,345 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 96/125 +[2025-03-25 07:18:25,378 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 97/125 +[2025-03-25 07:18:25,410 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 98/125 +[2025-03-25 07:18:25,442 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 99/125 +[2025-03-25 07:18:25,475 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 100/125 +[2025-03-25 07:18:25,507 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 101/125 +[2025-03-25 07:18:25,539 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 102/125 +[2025-03-25 07:18:25,572 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 103/125 +[2025-03-25 07:18:25,603 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 104/125 +[2025-03-25 07:18:25,635 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 105/125 +[2025-03-25 07:18:25,666 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 106/125 +[2025-03-25 07:18:25,698 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 107/125 +[2025-03-25 07:18:25,731 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 108/125 +[2025-03-25 07:18:25,763 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 109/125 +[2025-03-25 07:18:25,797 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 110/125 +[2025-03-25 07:18:25,829 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 111/125 +[2025-03-25 07:18:25,863 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 112/125 +[2025-03-25 07:18:25,896 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 113/125 +[2025-03-25 07:18:25,929 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 114/125 +[2025-03-25 07:18:25,962 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 115/125 +[2025-03-25 07:18:25,993 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 116/125 +[2025-03-25 07:18:26,024 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 117/125 +[2025-03-25 07:18:26,056 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 118/125 +[2025-03-25 07:18:26,087 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 119/125 +[2025-03-25 07:18:26,119 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 120/125 +[2025-03-25 07:18:26,151 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 121/125 +[2025-03-25 07:18:26,182 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 122/125 +[2025-03-25 07:18:26,214 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 123/125 +[2025-03-25 07:18:26,245 INFO test.py line 201 195048] Test: 48/78-scene0474_00, Batch: 124/125 +[2025-03-25 07:18:26,454 INFO test.py line 291 195048] Test: scene0474_00 [48/78]-182281 Batch 4.578 (4.336) Accuracy 0.9184 (0.7575) mIoU 0.5605 (0.6734) +[2025-03-25 07:18:26,490 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 0/134 +[2025-03-25 07:18:26,522 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 1/134 +[2025-03-25 07:18:26,566 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 2/134 +[2025-03-25 07:18:26,600 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 3/134 +[2025-03-25 07:18:26,633 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 4/134 +[2025-03-25 07:18:26,664 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 5/134 +[2025-03-25 07:18:26,694 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 6/134 +[2025-03-25 07:18:26,725 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 7/134 +[2025-03-25 07:18:26,759 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 8/134 +[2025-03-25 07:18:26,791 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 9/134 +[2025-03-25 07:18:26,828 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 10/134 +[2025-03-25 07:18:26,858 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 11/134 +[2025-03-25 07:18:26,893 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 12/134 +[2025-03-25 07:18:26,931 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 13/134 +[2025-03-25 07:18:26,967 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 14/134 +[2025-03-25 07:18:27,004 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 15/134 +[2025-03-25 07:18:27,037 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 16/134 +[2025-03-25 07:18:27,068 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 17/134 +[2025-03-25 07:18:27,098 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 18/134 +[2025-03-25 07:18:27,132 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 19/134 +[2025-03-25 07:18:27,162 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 20/134 +[2025-03-25 07:18:27,196 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 21/134 +[2025-03-25 07:18:27,230 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 22/134 +[2025-03-25 07:18:27,261 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 23/134 +[2025-03-25 07:18:27,292 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 24/134 +[2025-03-25 07:18:27,323 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 25/134 +[2025-03-25 07:18:27,353 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 26/134 +[2025-03-25 07:18:27,382 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 27/134 +[2025-03-25 07:18:27,417 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 28/134 +[2025-03-25 07:18:27,449 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 29/134 +[2025-03-25 07:18:27,479 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 30/134 +[2025-03-25 07:18:27,508 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 31/134 +[2025-03-25 07:18:27,537 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 32/134 +[2025-03-25 07:18:27,566 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 33/134 +[2025-03-25 07:18:27,597 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 34/134 +[2025-03-25 07:18:27,626 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 35/134 +[2025-03-25 07:18:27,655 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 36/134 +[2025-03-25 07:18:27,687 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 37/134 +[2025-03-25 07:18:27,717 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 38/134 +[2025-03-25 07:18:27,747 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 39/134 +[2025-03-25 07:18:27,780 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:28,140 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 51/134 +[2025-03-25 07:18:28,176 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 52/134 +[2025-03-25 07:18:28,216 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 53/134 +[2025-03-25 07:18:28,251 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 54/134 +[2025-03-25 07:18:28,283 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 55/134 +[2025-03-25 07:18:28,319 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 56/134 +[2025-03-25 07:18:28,348 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 57/134 +[2025-03-25 07:18:28,384 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 58/134 +[2025-03-25 07:18:28,414 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 59/134 +[2025-03-25 07:18:28,444 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 60/134 +[2025-03-25 07:18:28,475 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 61/134 +[2025-03-25 07:18:28,504 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 62/134 +[2025-03-25 07:18:28,534 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 63/134 +[2025-03-25 07:18:28,564 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 64/134 +[2025-03-25 07:18:28,594 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 65/134 +[2025-03-25 07:18:28,623 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 66/134 +[2025-03-25 07:18:28,654 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 67/134 +[2025-03-25 07:18:28,683 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 68/134 +[2025-03-25 07:18:28,712 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 69/134 +[2025-03-25 07:18:28,741 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 70/134 +[2025-03-25 07:18:28,770 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 71/134 +[2025-03-25 07:18:28,799 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 72/134 +[2025-03-25 07:18:28,827 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 73/134 +[2025-03-25 07:18:28,865 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 74/134 +[2025-03-25 07:18:28,898 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 75/134 +[2025-03-25 07:18:28,927 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 76/134 +[2025-03-25 07:18:28,956 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 77/134 +[2025-03-25 07:18:28,985 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 78/134 +[2025-03-25 07:18:29,014 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 79/134 +[2025-03-25 07:18:29,043 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 80/134 +[2025-03-25 07:18:29,072 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 81/134 +[2025-03-25 07:18:29,100 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 82/134 +[2025-03-25 07:18:29,129 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 83/134 +[2025-03-25 07:18:29,159 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 84/134 +[2025-03-25 07:18:29,195 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 85/134 +[2025-03-25 07:18:29,225 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 86/134 +[2025-03-25 07:18:29,255 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 87/134 +[2025-03-25 07:18:29,286 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 88/134 +[2025-03-25 07:18:29,316 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 89/134 +[2025-03-25 07:18:29,346 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 90/134 +[2025-03-25 07:18:29,377 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 91/134 +[2025-03-25 07:18:29,407 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 92/134 +[2025-03-25 07:18:29,437 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 93/134 +[2025-03-25 07:18:29,468 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 94/134 +[2025-03-25 07:18:29,502 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 95/134 +[2025-03-25 07:18:29,535 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 96/134 +[2025-03-25 07:18:29,567 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 97/134 +[2025-03-25 07:18:29,596 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 98/134 +[2025-03-25 07:18:29,628 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 99/134 +[2025-03-25 07:18:29,658 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 100/134 +[2025-03-25 07:18:29,688 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 101/134 +[2025-03-25 07:18:29,718 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 102/134 +[2025-03-25 07:18:29,748 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 103/134 +[2025-03-25 07:18:29,780 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 104/134 +[2025-03-25 07:18:29,811 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 105/134 +[2025-03-25 07:18:29,852 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 106/134 +[2025-03-25 07:18:29,885 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 107/134 +[2025-03-25 07:18:29,918 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 108/134 +[2025-03-25 07:18:29,952 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 109/134 +[2025-03-25 07:18:29,983 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 110/134 +[2025-03-25 07:18:30,014 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 111/134 +[2025-03-25 07:18:30,044 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 112/134 +[2025-03-25 07:18:30,076 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 113/134 +[2025-03-25 07:18:30,106 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 114/134 +[2025-03-25 07:18:30,137 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 115/134 +[2025-03-25 07:18:30,168 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 116/134 +[2025-03-25 07:18:30,198 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 117/134 +[2025-03-25 07:18:30,229 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 118/134 +[2025-03-25 07:18:30,259 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 119/134 +[2025-03-25 07:18:30,290 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 120/134 +[2025-03-25 07:18:30,322 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 121/134 +[2025-03-25 07:18:30,353 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 122/134 +[2025-03-25 07:18:30,388 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 123/134 +[2025-03-25 07:18:30,422 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 124/134 +[2025-03-25 07:18:30,456 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 125/134 +[2025-03-25 07:18:30,487 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 126/134 +[2025-03-25 07:18:30,521 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 127/134 +[2025-03-25 07:18:30,551 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 128/134 +[2025-03-25 07:18:30,580 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 129/134 +[2025-03-25 07:18:30,610 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 130/134 +[2025-03-25 07:18:30,641 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 131/134 +[2025-03-25 07:18:30,671 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 132/134 +[2025-03-25 07:18:30,701 INFO test.py line 201 195048] Test: 49/78-scene0300_01, Batch: 133/134 +[2025-03-25 07:18:30,903 INFO test.py line 291 195048] Test: scene0300_01 [49/78]-173223 Batch 4.448 (4.339) Accuracy 0.7850 (0.7538) mIoU 0.3832 (0.6706) +[2025-03-25 07:18:30,935 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 0/138 +[2025-03-25 07:18:30,963 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 1/138 +[2025-03-25 07:18:30,990 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 2/138 +[2025-03-25 07:18:31,018 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 3/138 +[2025-03-25 07:18:31,046 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 4/138 +[2025-03-25 07:18:31,074 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 5/138 +[2025-03-25 07:18:31,101 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 6/138 +[2025-03-25 07:18:31,129 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 7/138 +[2025-03-25 07:18:31,157 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 8/138 +[2025-03-25 07:18:31,184 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 9/138 +[2025-03-25 07:18:31,212 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 10/138 +[2025-03-25 07:18:31,239 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 11/138 +[2025-03-25 07:18:31,266 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 12/138 +[2025-03-25 07:18:31,293 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 13/138 +[2025-03-25 07:18:31,319 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 14/138 +[2025-03-25 07:18:31,345 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 15/138 +[2025-03-25 07:18:31,373 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 16/138 +[2025-03-25 07:18:31,400 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 17/138 +[2025-03-25 07:18:31,426 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:31,727 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 29/138 +[2025-03-25 07:18:31,754 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 30/138 +[2025-03-25 07:18:31,782 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 31/138 +[2025-03-25 07:18:31,810 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 32/138 +[2025-03-25 07:18:31,838 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 33/138 +[2025-03-25 07:18:31,866 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 34/138 +[2025-03-25 07:18:31,895 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 35/138 +[2025-03-25 07:18:31,924 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 36/138 +[2025-03-25 07:18:31,955 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 37/138 +[2025-03-25 07:18:31,983 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 38/138 +[2025-03-25 07:18:32,016 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 39/138 +[2025-03-25 07:18:32,044 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 40/138 +[2025-03-25 07:18:32,072 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 41/138 +[2025-03-25 07:18:32,100 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 42/138 +[2025-03-25 07:18:32,128 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 43/138 +[2025-03-25 07:18:32,156 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 44/138 +[2025-03-25 07:18:32,184 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 45/138 +[2025-03-25 07:18:32,213 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 46/138 +[2025-03-25 07:18:32,243 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 47/138 +[2025-03-25 07:18:32,273 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 48/138 +[2025-03-25 07:18:32,302 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:32,634 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 60/138 +[2025-03-25 07:18:32,663 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 61/138 +[2025-03-25 07:18:32,692 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 62/138 +[2025-03-25 07:18:32,721 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 63/138 +[2025-03-25 07:18:32,750 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 64/138 +[2025-03-25 07:18:32,779 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 65/138 +[2025-03-25 07:18:32,808 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 66/138 +[2025-03-25 07:18:32,837 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 67/138 +[2025-03-25 07:18:32,865 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 68/138 +[2025-03-25 07:18:32,893 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 69/138 +[2025-03-25 07:18:32,922 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 70/138 +[2025-03-25 07:18:32,952 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 71/138 +[2025-03-25 07:18:32,982 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 72/138 +[2025-03-25 07:18:33,011 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 73/138 +[2025-03-25 07:18:33,039 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 74/138 +[2025-03-25 07:18:33,069 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 75/138 +[2025-03-25 07:18:33,098 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 76/138 +[2025-03-25 07:18:33,126 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 77/138 +[2025-03-25 07:18:33,155 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 78/138 +[2025-03-25 07:18:33,184 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 79/138 +[2025-03-25 07:18:33,212 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:33,571 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 91/138 +[2025-03-25 07:18:33,606 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 92/138 +[2025-03-25 07:18:33,638 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 93/138 +[2025-03-25 07:18:33,669 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 94/138 +[2025-03-25 07:18:33,700 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 95/138 +[2025-03-25 07:18:33,729 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 96/138 +[2025-03-25 07:18:33,763 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 97/138 +[2025-03-25 07:18:33,797 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 98/138 +[2025-03-25 07:18:33,833 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 99/138 +[2025-03-25 07:18:33,871 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 100/138 +[2025-03-25 07:18:33,908 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 101/138 +[2025-03-25 07:18:33,949 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 102/138 +[2025-03-25 07:18:33,997 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 103/138 +[2025-03-25 07:18:34,039 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 104/138 +[2025-03-25 07:18:34,072 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 105/138 +[2025-03-25 07:18:34,100 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 106/138 +[2025-03-25 07:18:34,128 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 107/138 +[2025-03-25 07:18:34,165 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 108/138 +[2025-03-25 07:18:34,193 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 109/138 +[2025-03-25 07:18:34,221 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 110/138 +[2025-03-25 07:18:34,249 INFO test.py line 201 195048] Test: 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121/138 +[2025-03-25 07:18:34,591 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 122/138 +[2025-03-25 07:18:34,631 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 123/138 +[2025-03-25 07:18:34,669 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 124/138 +[2025-03-25 07:18:34,706 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 125/138 +[2025-03-25 07:18:34,743 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 126/138 +[2025-03-25 07:18:34,784 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 127/138 +[2025-03-25 07:18:34,825 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 128/138 +[2025-03-25 07:18:34,865 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 129/138 +[2025-03-25 07:18:34,907 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 130/138 +[2025-03-25 07:18:34,946 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 131/138 +[2025-03-25 07:18:34,985 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 132/138 +[2025-03-25 07:18:35,028 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 133/138 +[2025-03-25 07:18:35,070 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 134/138 +[2025-03-25 07:18:35,110 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 135/138 +[2025-03-25 07:18:35,146 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 136/138 +[2025-03-25 07:18:35,185 INFO test.py line 201 195048] Test: 50/78-scene0426_03, Batch: 137/138 +[2025-03-25 07:18:35,318 INFO test.py line 291 195048] Test: scene0426_03 [50/78]-126181 Batch 4.415 (4.340) Accuracy 0.8668 (0.7540) mIoU 0.4435 (0.6710) +[2025-03-25 07:18:35,358 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 0/121 +[2025-03-25 07:18:35,406 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 1/121 +[2025-03-25 07:18:35,444 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 2/121 +[2025-03-25 07:18:35,486 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 3/121 +[2025-03-25 07:18:35,523 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 4/121 +[2025-03-25 07:18:35,551 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 5/121 +[2025-03-25 07:18:35,578 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 6/121 +[2025-03-25 07:18:35,763 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 7/121 +[2025-03-25 07:18:35,792 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 8/121 +[2025-03-25 07:18:35,820 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 9/121 +[2025-03-25 07:18:35,849 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 10/121 +[2025-03-25 07:18:35,878 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 11/121 +[2025-03-25 07:18:35,907 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 12/121 +[2025-03-25 07:18:35,935 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 13/121 +[2025-03-25 07:18:35,962 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 14/121 +[2025-03-25 07:18:35,989 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 15/121 +[2025-03-25 07:18:36,016 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 16/121 +[2025-03-25 07:18:36,044 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 17/121 +[2025-03-25 07:18:36,072 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 18/121 +[2025-03-25 07:18:36,100 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 19/121 +[2025-03-25 07:18:36,128 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 20/121 +[2025-03-25 07:18:36,157 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 21/121 +[2025-03-25 07:18:36,185 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 22/121 +[2025-03-25 07:18:36,213 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:36,507 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 34/121 +[2025-03-25 07:18:36,533 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 35/121 +[2025-03-25 07:18:36,558 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 36/121 +[2025-03-25 07:18:36,584 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 37/121 +[2025-03-25 07:18:36,611 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 38/121 +[2025-03-25 07:18:36,648 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 39/121 +[2025-03-25 07:18:36,676 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 40/121 +[2025-03-25 07:18:36,704 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 41/121 +[2025-03-25 07:18:36,757 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 42/121 +[2025-03-25 07:18:36,783 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 43/121 +[2025-03-25 07:18:36,810 INFO test.py 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test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 106/121 +[2025-03-25 07:18:38,838 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 107/121 +[2025-03-25 07:18:38,866 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 108/121 +[2025-03-25 07:18:38,894 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 109/121 +[2025-03-25 07:18:38,923 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 110/121 +[2025-03-25 07:18:38,952 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 111/121 +[2025-03-25 07:18:38,980 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 112/121 +[2025-03-25 07:18:39,007 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 113/121 +[2025-03-25 07:18:39,035 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 114/121 +[2025-03-25 07:18:39,067 INFO test.py line 201 195048] Test: 51/78-scene0256_00, Batch: 115/121 +[2025-03-25 07:18:39,094 INFO test.py line 201 195048] Test: 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line 201 195048] Test: 52/78-scene0221_00, Batch: 4/139 +[2025-03-25 07:18:39,540 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 5/139 +[2025-03-25 07:18:39,584 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 6/139 +[2025-03-25 07:18:39,618 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 7/139 +[2025-03-25 07:18:39,653 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 8/139 +[2025-03-25 07:18:39,688 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 9/139 +[2025-03-25 07:18:39,723 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 10/139 +[2025-03-25 07:18:39,757 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 11/139 +[2025-03-25 07:18:39,793 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 12/139 +[2025-03-25 07:18:39,827 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 13/139 +[2025-03-25 07:18:39,860 INFO test.py line 201 195048] Test: 52/78-scene0221_00, 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+[2025-03-25 07:18:40,962 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 46/139 +[2025-03-25 07:18:41,001 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 47/139 +[2025-03-25 07:18:41,034 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 48/139 +[2025-03-25 07:18:41,068 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 49/139 +[2025-03-25 07:18:41,101 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 50/139 +[2025-03-25 07:18:41,139 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 51/139 +[2025-03-25 07:18:41,172 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 52/139 +[2025-03-25 07:18:41,207 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 53/139 +[2025-03-25 07:18:41,245 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 54/139 +[2025-03-25 07:18:41,280 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 55/139 +[2025-03-25 07:18:41,313 INFO test.py 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+[2025-03-25 07:18:42,024 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 77/139 +[2025-03-25 07:18:42,056 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 78/139 +[2025-03-25 07:18:42,088 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 79/139 +[2025-03-25 07:18:42,116 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 80/139 +[2025-03-25 07:18:42,145 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 81/139 +[2025-03-25 07:18:42,173 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 82/139 +[2025-03-25 07:18:42,201 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 83/139 +[2025-03-25 07:18:42,229 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 84/139 +[2025-03-25 07:18:42,257 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 85/139 +[2025-03-25 07:18:42,284 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 86/139 +[2025-03-25 07:18:42,312 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 87/139 +[2025-03-25 07:18:42,342 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 88/139 +[2025-03-25 07:18:42,372 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 89/139 +[2025-03-25 07:18:42,401 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 90/139 +[2025-03-25 07:18:42,430 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 91/139 +[2025-03-25 07:18:42,460 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 92/139 +[2025-03-25 07:18:42,490 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 93/139 +[2025-03-25 07:18:42,519 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 94/139 +[2025-03-25 07:18:42,549 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 95/139 +[2025-03-25 07:18:42,579 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 96/139 +[2025-03-25 07:18:42,609 INFO test.py line 201 195048] Test: 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07:18:43,315 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 118/139 +[2025-03-25 07:18:43,352 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 119/139 +[2025-03-25 07:18:43,384 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 120/139 +[2025-03-25 07:18:43,417 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 121/139 +[2025-03-25 07:18:43,451 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 122/139 +[2025-03-25 07:18:43,489 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 123/139 +[2025-03-25 07:18:43,522 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 124/139 +[2025-03-25 07:18:43,554 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 125/139 +[2025-03-25 07:18:43,586 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 126/139 +[2025-03-25 07:18:43,619 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 127/139 +[2025-03-25 07:18:43,650 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 128/139 +[2025-03-25 07:18:43,736 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 129/139 +[2025-03-25 07:18:43,778 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 130/139 +[2025-03-25 07:18:43,811 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 131/139 +[2025-03-25 07:18:43,848 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 132/139 +[2025-03-25 07:18:43,884 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 133/139 +[2025-03-25 07:18:43,916 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 134/139 +[2025-03-25 07:18:43,948 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 135/139 +[2025-03-25 07:18:43,979 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 136/139 +[2025-03-25 07:18:44,010 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 137/139 +[2025-03-25 07:18:44,043 INFO test.py line 201 195048] Test: 52/78-scene0221_00, Batch: 138/139 +[2025-03-25 07:18:44,246 INFO test.py line 291 195048] Test: scene0221_00 [52/78]-185828 Batch 4.916 (4.345) Accuracy 0.8859 (0.7629) mIoU 0.4557 (0.6792) +[2025-03-25 07:18:44,271 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 0/155 +[2025-03-25 07:18:44,293 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 1/155 +[2025-03-25 07:18:44,315 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 2/155 +[2025-03-25 07:18:44,337 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 3/155 +[2025-03-25 07:18:44,362 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 4/155 +[2025-03-25 07:18:44,384 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 5/155 +[2025-03-25 07:18:44,410 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 6/155 +[2025-03-25 07:18:44,444 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 7/155 +[2025-03-25 07:18:44,467 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 8/155 +[2025-03-25 07:18:44,489 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 9/155 +[2025-03-25 07:18:44,511 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 10/155 +[2025-03-25 07:18:44,534 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 11/155 +[2025-03-25 07:18:44,557 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 12/155 +[2025-03-25 07:18:44,579 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 13/155 +[2025-03-25 07:18:44,602 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 14/155 +[2025-03-25 07:18:44,624 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 15/155 +[2025-03-25 07:18:44,645 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 16/155 +[2025-03-25 07:18:44,668 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 17/155 +[2025-03-25 07:18:44,690 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 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+[2025-03-25 07:18:45,483 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 50/155 +[2025-03-25 07:18:45,507 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 51/155 +[2025-03-25 07:18:45,533 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 52/155 +[2025-03-25 07:18:45,557 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 53/155 +[2025-03-25 07:18:45,590 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 54/155 +[2025-03-25 07:18:45,626 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 55/155 +[2025-03-25 07:18:45,655 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 56/155 +[2025-03-25 07:18:45,681 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 57/155 +[2025-03-25 07:18:45,706 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 58/155 +[2025-03-25 07:18:45,731 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 59/155 +[2025-03-25 07:18:45,756 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 60/155 +[2025-03-25 07:18:45,780 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 61/155 +[2025-03-25 07:18:45,805 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 62/155 +[2025-03-25 07:18:45,831 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 63/155 +[2025-03-25 07:18:45,855 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 64/155 +[2025-03-25 07:18:45,880 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 65/155 +[2025-03-25 07:18:45,905 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 66/155 +[2025-03-25 07:18:45,930 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 67/155 +[2025-03-25 07:18:45,955 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 68/155 +[2025-03-25 07:18:45,978 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 69/155 +[2025-03-25 07:18:46,003 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:46,292 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 81/155 +[2025-03-25 07:18:46,315 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 82/155 +[2025-03-25 07:18:46,340 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 83/155 +[2025-03-25 07:18:46,365 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 84/155 +[2025-03-25 07:18:46,388 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 85/155 +[2025-03-25 07:18:46,412 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 86/155 +[2025-03-25 07:18:46,436 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 87/155 +[2025-03-25 07:18:46,459 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 88/155 +[2025-03-25 07:18:46,486 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 89/155 +[2025-03-25 07:18:46,516 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 90/155 +[2025-03-25 07:18:46,551 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 91/155 +[2025-03-25 07:18:46,584 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 92/155 +[2025-03-25 07:18:46,611 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 93/155 +[2025-03-25 07:18:46,635 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 94/155 +[2025-03-25 07:18:46,670 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 95/155 +[2025-03-25 07:18:46,693 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 96/155 +[2025-03-25 07:18:46,726 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 97/155 +[2025-03-25 07:18:46,767 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 98/155 +[2025-03-25 07:18:46,822 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 99/155 +[2025-03-25 07:18:46,877 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 100/155 +[2025-03-25 07:18:46,925 INFO test.py line 201 195048] Test: 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152/155 +[2025-03-25 07:18:48,362 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 153/155 +[2025-03-25 07:18:48,385 INFO test.py line 201 195048] Test: 53/78-scene0146_01, Batch: 154/155 +[2025-03-25 07:18:48,448 INFO test.py line 291 195048] Test: scene0146_01 [53/78]-59330 Batch 4.202 (4.342) Accuracy 0.9624 (0.7632) mIoU 0.5525 (0.6798) +[2025-03-25 07:18:48,485 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 0/155 +[2025-03-25 07:18:48,517 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 1/155 +[2025-03-25 07:18:48,551 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 2/155 +[2025-03-25 07:18:48,585 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 3/155 +[2025-03-25 07:18:48,619 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 4/155 +[2025-03-25 07:18:48,652 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 5/155 +[2025-03-25 07:18:48,686 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:49,047 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 17/155 +[2025-03-25 07:18:49,079 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 18/155 +[2025-03-25 07:18:49,112 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 19/155 +[2025-03-25 07:18:49,144 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 20/155 +[2025-03-25 07:18:49,176 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 21/155 +[2025-03-25 07:18:49,207 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 22/155 +[2025-03-25 07:18:49,239 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 23/155 +[2025-03-25 07:18:49,273 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 24/155 +[2025-03-25 07:18:49,306 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 25/155 +[2025-03-25 07:18:49,338 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 26/155 +[2025-03-25 07:18:49,369 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 27/155 +[2025-03-25 07:18:49,403 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 28/155 +[2025-03-25 07:18:49,434 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 29/155 +[2025-03-25 07:18:49,466 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 30/155 +[2025-03-25 07:18:49,499 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 31/155 +[2025-03-25 07:18:49,532 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 32/155 +[2025-03-25 07:18:49,565 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 33/155 +[2025-03-25 07:18:49,598 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 34/155 +[2025-03-25 07:18:49,629 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 35/155 +[2025-03-25 07:18:49,662 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 36/155 +[2025-03-25 07:18:49,693 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:50,135 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 48/155 +[2025-03-25 07:18:50,175 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 49/155 +[2025-03-25 07:18:50,212 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 50/155 +[2025-03-25 07:18:50,255 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 51/155 +[2025-03-25 07:18:50,292 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 52/155 +[2025-03-25 07:18:50,323 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 53/155 +[2025-03-25 07:18:50,354 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 54/155 +[2025-03-25 07:18:50,387 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 55/155 +[2025-03-25 07:18:50,418 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 56/155 +[2025-03-25 07:18:50,451 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 57/155 +[2025-03-25 07:18:50,481 INFO test.py 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+[2025-03-25 07:18:51,194 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 79/155 +[2025-03-25 07:18:51,224 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 80/155 +[2025-03-25 07:18:51,261 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 81/155 +[2025-03-25 07:18:51,299 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 82/155 +[2025-03-25 07:18:51,337 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 83/155 +[2025-03-25 07:18:51,374 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 84/155 +[2025-03-25 07:18:51,409 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 85/155 +[2025-03-25 07:18:51,439 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 86/155 +[2025-03-25 07:18:51,469 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 87/155 +[2025-03-25 07:18:51,500 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 88/155 +[2025-03-25 07:18:51,530 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 89/155 +[2025-03-25 07:18:51,564 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 90/155 +[2025-03-25 07:18:51,595 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 91/155 +[2025-03-25 07:18:51,626 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 92/155 +[2025-03-25 07:18:51,657 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 93/155 +[2025-03-25 07:18:51,688 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 94/155 +[2025-03-25 07:18:51,719 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 95/155 +[2025-03-25 07:18:51,749 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 96/155 +[2025-03-25 07:18:51,779 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 97/155 +[2025-03-25 07:18:51,809 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 98/155 +[2025-03-25 07:18:51,839 INFO test.py line 201 195048] Test: 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150/155 +[2025-03-25 07:18:53,557 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 151/155 +[2025-03-25 07:18:53,589 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 152/155 +[2025-03-25 07:18:53,623 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 153/155 +[2025-03-25 07:18:53,655 INFO test.py line 201 195048] Test: 54/78-scene0697_03, Batch: 154/155 +[2025-03-25 07:18:53,827 INFO test.py line 291 195048] Test: scene0697_03 [54/78]-165912 Batch 5.379 (4.361) Accuracy 0.7323 (0.7602) mIoU 0.2414 (0.6771) +[2025-03-25 07:18:53,883 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 0/126 +[2025-03-25 07:18:53,928 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 1/126 +[2025-03-25 07:18:53,956 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 2/126 +[2025-03-25 07:18:53,986 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 3/126 +[2025-03-25 07:18:54,017 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:55,960 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 67/126 +[2025-03-25 07:18:55,991 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 68/126 +[2025-03-25 07:18:56,019 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 69/126 +[2025-03-25 07:18:56,047 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 70/126 +[2025-03-25 07:18:56,084 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 71/126 +[2025-03-25 07:18:56,113 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 72/126 +[2025-03-25 07:18:56,142 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 73/126 +[2025-03-25 07:18:56,169 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 74/126 +[2025-03-25 07:18:56,197 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 75/126 +[2025-03-25 07:18:56,224 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 76/126 +[2025-03-25 07:18:56,251 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 77/126 +[2025-03-25 07:18:56,278 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 78/126 +[2025-03-25 07:18:56,305 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 79/126 +[2025-03-25 07:18:56,332 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 80/126 +[2025-03-25 07:18:56,358 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 81/126 +[2025-03-25 07:18:56,385 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 82/126 +[2025-03-25 07:18:56,413 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 83/126 +[2025-03-25 07:18:56,443 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 84/126 +[2025-03-25 07:18:56,473 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 85/126 +[2025-03-25 07:18:56,502 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 86/126 +[2025-03-25 07:18:56,531 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:56,855 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 98/126 +[2025-03-25 07:18:56,884 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 99/126 +[2025-03-25 07:18:56,914 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 100/126 +[2025-03-25 07:18:56,944 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 101/126 +[2025-03-25 07:18:56,973 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 102/126 +[2025-03-25 07:18:57,002 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 103/126 +[2025-03-25 07:18:57,031 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 104/126 +[2025-03-25 07:18:57,060 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 105/126 +[2025-03-25 07:18:57,089 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 106/126 +[2025-03-25 07:18:57,118 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 107/126 +[2025-03-25 07:18:57,147 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 108/126 +[2025-03-25 07:18:57,176 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 109/126 +[2025-03-25 07:18:57,206 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 110/126 +[2025-03-25 07:18:57,235 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 111/126 +[2025-03-25 07:18:57,263 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 112/126 +[2025-03-25 07:18:57,292 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 113/126 +[2025-03-25 07:18:57,321 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 114/126 +[2025-03-25 07:18:57,350 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 115/126 +[2025-03-25 07:18:57,378 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 116/126 +[2025-03-25 07:18:57,407 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 117/126 +[2025-03-25 07:18:57,435 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 118/126 +[2025-03-25 07:18:57,464 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 119/126 +[2025-03-25 07:18:57,492 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 120/126 +[2025-03-25 07:18:57,519 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 121/126 +[2025-03-25 07:18:57,547 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 122/126 +[2025-03-25 07:18:57,575 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 123/126 +[2025-03-25 07:18:57,612 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 124/126 +[2025-03-25 07:18:57,649 INFO test.py line 201 195048] Test: 55/78-scene0655_02, Batch: 125/126 +[2025-03-25 07:18:57,790 INFO test.py line 291 195048] Test: scene0655_02 [55/78]-133857 Batch 3.962 (4.354) Accuracy 0.9911 (0.7607) mIoU 0.6537 (0.6778) +[2025-03-25 07:18:57,831 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 0/138 +[2025-03-25 07:18:57,867 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 1/138 +[2025-03-25 07:18:57,905 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 2/138 +[2025-03-25 07:18:57,947 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 3/138 +[2025-03-25 07:18:57,990 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 4/138 +[2025-03-25 07:18:58,024 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 5/138 +[2025-03-25 07:18:58,061 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 6/138 +[2025-03-25 07:18:58,100 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 7/138 +[2025-03-25 07:18:58,137 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 8/138 +[2025-03-25 07:18:58,172 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 9/138 +[2025-03-25 07:18:58,213 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 10/138 +[2025-03-25 07:18:58,252 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:58,660 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 22/138 +[2025-03-25 07:18:58,686 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 23/138 +[2025-03-25 07:18:58,711 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 24/138 +[2025-03-25 07:18:58,737 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 25/138 +[2025-03-25 07:18:58,764 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 26/138 +[2025-03-25 07:18:58,790 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 27/138 +[2025-03-25 07:18:58,815 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 28/138 +[2025-03-25 07:18:58,840 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 29/138 +[2025-03-25 07:18:58,866 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 30/138 +[2025-03-25 07:18:58,892 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 31/138 +[2025-03-25 07:18:58,917 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 32/138 +[2025-03-25 07:18:58,943 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 33/138 +[2025-03-25 07:18:58,967 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 34/138 +[2025-03-25 07:18:58,993 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 35/138 +[2025-03-25 07:18:59,044 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 36/138 +[2025-03-25 07:18:59,076 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 37/138 +[2025-03-25 07:18:59,103 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 38/138 +[2025-03-25 07:18:59,129 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 39/138 +[2025-03-25 07:18:59,156 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 40/138 +[2025-03-25 07:18:59,188 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 41/138 +[2025-03-25 07:18:59,215 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:18:59,576 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 53/138 +[2025-03-25 07:18:59,614 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 54/138 +[2025-03-25 07:18:59,651 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 55/138 +[2025-03-25 07:18:59,686 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 56/138 +[2025-03-25 07:18:59,721 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 57/138 +[2025-03-25 07:18:59,759 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 58/138 +[2025-03-25 07:18:59,799 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 59/138 +[2025-03-25 07:18:59,839 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 60/138 +[2025-03-25 07:18:59,894 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 61/138 +[2025-03-25 07:18:59,938 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 62/138 +[2025-03-25 07:18:59,963 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 63/138 +[2025-03-25 07:18:59,989 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 64/138 +[2025-03-25 07:19:00,015 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 65/138 +[2025-03-25 07:19:00,041 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 66/138 +[2025-03-25 07:19:00,066 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 67/138 +[2025-03-25 07:19:00,093 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 68/138 +[2025-03-25 07:19:00,119 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 69/138 +[2025-03-25 07:19:00,145 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 70/138 +[2025-03-25 07:19:00,171 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 71/138 +[2025-03-25 07:19:00,196 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 72/138 +[2025-03-25 07:19:00,222 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:00,507 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 84/138 +[2025-03-25 07:19:00,533 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 85/138 +[2025-03-25 07:19:00,558 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 86/138 +[2025-03-25 07:19:00,583 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 87/138 +[2025-03-25 07:19:00,606 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 88/138 +[2025-03-25 07:19:00,630 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 89/138 +[2025-03-25 07:19:00,653 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 90/138 +[2025-03-25 07:19:00,677 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 91/138 +[2025-03-25 07:19:00,701 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 92/138 +[2025-03-25 07:19:00,724 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 93/138 +[2025-03-25 07:19:00,748 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 94/138 +[2025-03-25 07:19:00,773 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 95/138 +[2025-03-25 07:19:00,798 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 96/138 +[2025-03-25 07:19:00,823 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 97/138 +[2025-03-25 07:19:00,848 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 98/138 +[2025-03-25 07:19:00,873 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 99/138 +[2025-03-25 07:19:00,898 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 100/138 +[2025-03-25 07:19:00,924 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 101/138 +[2025-03-25 07:19:00,949 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 102/138 +[2025-03-25 07:19:00,975 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 103/138 +[2025-03-25 07:19:00,999 INFO test.py line 201 195048] Test: 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07:19:01,604 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 125/138 +[2025-03-25 07:19:01,629 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 126/138 +[2025-03-25 07:19:01,654 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 127/138 +[2025-03-25 07:19:01,679 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 128/138 +[2025-03-25 07:19:01,704 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 129/138 +[2025-03-25 07:19:01,730 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 130/138 +[2025-03-25 07:19:01,755 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 131/138 +[2025-03-25 07:19:01,780 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 132/138 +[2025-03-25 07:19:01,805 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 133/138 +[2025-03-25 07:19:01,830 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 134/138 +[2025-03-25 07:19:01,855 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 135/138 +[2025-03-25 07:19:01,880 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 136/138 +[2025-03-25 07:19:01,906 INFO test.py line 201 195048] Test: 56/78-scene0553_02, Batch: 137/138 +[2025-03-25 07:19:01,977 INFO test.py line 291 195048] Test: scene0553_02 [56/78]-67632 Batch 4.187 (4.351) Accuracy 0.9680 (0.7611) mIoU 0.6129 (0.6786) +[2025-03-25 07:19:02,015 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 0/143 +[2025-03-25 07:19:02,049 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 1/143 +[2025-03-25 07:19:02,082 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 2/143 +[2025-03-25 07:19:02,117 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 3/143 +[2025-03-25 07:19:02,149 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 4/143 +[2025-03-25 07:19:02,183 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 5/143 +[2025-03-25 07:19:02,215 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 6/143 +[2025-03-25 07:19:02,248 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 7/143 +[2025-03-25 07:19:02,281 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 8/143 +[2025-03-25 07:19:02,314 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 9/143 +[2025-03-25 07:19:02,349 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 10/143 +[2025-03-25 07:19:02,382 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 11/143 +[2025-03-25 07:19:02,423 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 12/143 +[2025-03-25 07:19:02,455 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 13/143 +[2025-03-25 07:19:02,489 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 14/143 +[2025-03-25 07:19:02,522 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 15/143 +[2025-03-25 07:19:02,556 INFO test.py line 201 195048] Test: 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07:19:06,220 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 130/143 +[2025-03-25 07:19:06,249 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 131/143 +[2025-03-25 07:19:06,277 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 132/143 +[2025-03-25 07:19:06,308 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 133/143 +[2025-03-25 07:19:06,343 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 134/143 +[2025-03-25 07:19:06,371 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 135/143 +[2025-03-25 07:19:06,398 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 136/143 +[2025-03-25 07:19:06,450 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 137/143 +[2025-03-25 07:19:06,479 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 138/143 +[2025-03-25 07:19:06,507 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 139/143 +[2025-03-25 07:19:06,534 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 140/143 +[2025-03-25 07:19:06,562 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 141/143 +[2025-03-25 07:19:06,589 INFO test.py line 201 195048] Test: 57/78-scene0025_00, Batch: 142/143 +[2025-03-25 07:19:06,731 INFO test.py line 291 195048] Test: scene0025_00 [57/78]-173392 Batch 4.754 (4.358) Accuracy 0.8824 (0.7618) mIoU 0.5081 (0.6793) +[2025-03-25 07:19:06,751 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 0/108 +[2025-03-25 07:19:06,769 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 1/108 +[2025-03-25 07:19:06,786 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 2/108 +[2025-03-25 07:19:06,805 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 3/108 +[2025-03-25 07:19:06,823 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 4/108 +[2025-03-25 07:19:06,840 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 5/108 +[2025-03-25 07:19:06,858 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+[2025-03-25 07:19:08,637 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 89/108 +[2025-03-25 07:19:08,668 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 90/108 +[2025-03-25 07:19:08,690 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 91/108 +[2025-03-25 07:19:08,713 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 92/108 +[2025-03-25 07:19:08,737 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 93/108 +[2025-03-25 07:19:08,760 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 94/108 +[2025-03-25 07:19:08,782 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 95/108 +[2025-03-25 07:19:08,804 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 96/108 +[2025-03-25 07:19:08,826 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 97/108 +[2025-03-25 07:19:08,848 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 98/108 +[2025-03-25 07:19:08,869 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 99/108 +[2025-03-25 07:19:08,890 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 100/108 +[2025-03-25 07:19:08,912 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 101/108 +[2025-03-25 07:19:08,935 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 102/108 +[2025-03-25 07:19:08,955 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 103/108 +[2025-03-25 07:19:08,977 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 104/108 +[2025-03-25 07:19:08,998 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 105/108 +[2025-03-25 07:19:09,019 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 106/108 +[2025-03-25 07:19:09,052 INFO test.py line 201 195048] Test: 58/78-scene0693_02, Batch: 107/108 +[2025-03-25 07:19:09,111 INFO test.py line 291 195048] Test: scene0693_02 [58/78]-47996 Batch 2.379 (4.324) Accuracy 0.9196 (0.7625) mIoU 0.4875 (0.6793) +[2025-03-25 07:19:09,152 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 0/138 +[2025-03-25 07:19:09,196 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 1/138 +[2025-03-25 07:19:09,232 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 2/138 +[2025-03-25 07:19:09,268 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 3/138 +[2025-03-25 07:19:09,305 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 4/138 +[2025-03-25 07:19:09,342 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 5/138 +[2025-03-25 07:19:09,379 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 6/138 +[2025-03-25 07:19:09,415 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 7/138 +[2025-03-25 07:19:09,451 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 8/138 +[2025-03-25 07:19:09,488 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 9/138 +[2025-03-25 07:19:09,525 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:09,945 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 21/138 +[2025-03-25 07:19:09,984 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 22/138 +[2025-03-25 07:19:10,030 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 23/138 +[2025-03-25 07:19:10,077 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 24/138 +[2025-03-25 07:19:10,121 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 25/138 +[2025-03-25 07:19:10,162 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 26/138 +[2025-03-25 07:19:10,205 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 27/138 +[2025-03-25 07:19:10,245 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 28/138 +[2025-03-25 07:19:10,284 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 29/138 +[2025-03-25 07:19:10,324 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 30/138 +[2025-03-25 07:19:10,363 INFO test.py 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+[2025-03-25 07:19:11,161 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 52/138 +[2025-03-25 07:19:11,205 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 53/138 +[2025-03-25 07:19:11,241 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 54/138 +[2025-03-25 07:19:11,277 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 55/138 +[2025-03-25 07:19:11,319 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 56/138 +[2025-03-25 07:19:11,352 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 57/138 +[2025-03-25 07:19:11,385 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 58/138 +[2025-03-25 07:19:11,418 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 59/138 +[2025-03-25 07:19:11,451 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 60/138 +[2025-03-25 07:19:11,483 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 61/138 +[2025-03-25 07:19:11,516 INFO test.py 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+[2025-03-25 07:19:12,228 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 83/138 +[2025-03-25 07:19:12,259 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 84/138 +[2025-03-25 07:19:12,294 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 85/138 +[2025-03-25 07:19:12,328 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 86/138 +[2025-03-25 07:19:12,363 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 87/138 +[2025-03-25 07:19:12,398 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 88/138 +[2025-03-25 07:19:12,432 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 89/138 +[2025-03-25 07:19:12,468 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 90/138 +[2025-03-25 07:19:12,506 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 91/138 +[2025-03-25 07:19:12,543 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 92/138 +[2025-03-25 07:19:12,581 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 93/138 +[2025-03-25 07:19:12,618 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 94/138 +[2025-03-25 07:19:12,656 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 95/138 +[2025-03-25 07:19:12,693 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 96/138 +[2025-03-25 07:19:12,731 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 97/138 +[2025-03-25 07:19:12,768 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 98/138 +[2025-03-25 07:19:12,816 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 99/138 +[2025-03-25 07:19:12,857 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 100/138 +[2025-03-25 07:19:12,896 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 101/138 +[2025-03-25 07:19:12,933 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 102/138 +[2025-03-25 07:19:12,970 INFO test.py line 201 195048] Test: 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07:19:13,768 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 124/138 +[2025-03-25 07:19:13,805 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 125/138 +[2025-03-25 07:19:13,842 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 126/138 +[2025-03-25 07:19:13,879 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 127/138 +[2025-03-25 07:19:13,915 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 128/138 +[2025-03-25 07:19:13,952 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 129/138 +[2025-03-25 07:19:13,989 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 130/138 +[2025-03-25 07:19:14,025 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 131/138 +[2025-03-25 07:19:14,063 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 132/138 +[2025-03-25 07:19:14,099 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 133/138 +[2025-03-25 07:19:14,136 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 134/138 +[2025-03-25 07:19:14,173 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 135/138 +[2025-03-25 07:19:14,210 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 136/138 +[2025-03-25 07:19:14,247 INFO test.py line 201 195048] Test: 59/78-scene0665_00, Batch: 137/138 +[2025-03-25 07:19:14,528 INFO test.py line 291 195048] Test: scene0665_00 [59/78]-252726 Batch 5.417 (4.343) Accuracy 0.9085 (0.7616) mIoU 0.4193 (0.6790) +[2025-03-25 07:19:14,564 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 0/148 +[2025-03-25 07:19:14,594 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 1/148 +[2025-03-25 07:19:14,625 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 2/148 +[2025-03-25 07:19:14,655 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 3/148 +[2025-03-25 07:19:14,686 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 4/148 +[2025-03-25 07:19:14,717 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201 195048] Test: 60/78-scene0647_01, Batch: 139/148 +[2025-03-25 07:19:19,718 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 140/148 +[2025-03-25 07:19:19,761 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 141/148 +[2025-03-25 07:19:19,796 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 142/148 +[2025-03-25 07:19:19,829 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 143/148 +[2025-03-25 07:19:19,862 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 144/148 +[2025-03-25 07:19:19,896 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 145/148 +[2025-03-25 07:19:19,929 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 146/148 +[2025-03-25 07:19:19,962 INFO test.py line 201 195048] Test: 60/78-scene0647_01, Batch: 147/148 +[2025-03-25 07:19:20,163 INFO test.py line 291 195048] Test: scene0647_01 [60/78]-194360 Batch 5.635 (4.364) Accuracy 0.9381 (0.7635) mIoU 0.4857 (0.6810) +[2025-03-25 07:19:20,195 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 0/134 +[2025-03-25 07:19:20,223 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 1/134 +[2025-03-25 07:19:20,249 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 2/134 +[2025-03-25 07:19:20,276 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 3/134 +[2025-03-25 07:19:20,304 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 4/134 +[2025-03-25 07:19:20,330 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 5/134 +[2025-03-25 07:19:20,356 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 6/134 +[2025-03-25 07:19:20,382 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 7/134 +[2025-03-25 07:19:20,408 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 8/134 +[2025-03-25 07:19:20,433 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 9/134 +[2025-03-25 07:19:20,459 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:20,744 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 21/134 +[2025-03-25 07:19:20,771 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 22/134 +[2025-03-25 07:19:20,798 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 23/134 +[2025-03-25 07:19:20,824 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 24/134 +[2025-03-25 07:19:20,851 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 25/134 +[2025-03-25 07:19:20,877 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 26/134 +[2025-03-25 07:19:20,903 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 27/134 +[2025-03-25 07:19:20,929 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 28/134 +[2025-03-25 07:19:20,961 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 29/134 +[2025-03-25 07:19:20,987 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 30/134 +[2025-03-25 07:19:21,014 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 31/134 +[2025-03-25 07:19:21,040 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 32/134 +[2025-03-25 07:19:21,067 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 33/134 +[2025-03-25 07:19:21,094 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 34/134 +[2025-03-25 07:19:21,125 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 35/134 +[2025-03-25 07:19:21,151 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 36/134 +[2025-03-25 07:19:21,177 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 37/134 +[2025-03-25 07:19:21,203 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 38/134 +[2025-03-25 07:19:21,230 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 39/134 +[2025-03-25 07:19:21,257 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 40/134 +[2025-03-25 07:19:21,283 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:21,574 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 52/134 +[2025-03-25 07:19:21,600 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 53/134 +[2025-03-25 07:19:21,627 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 54/134 +[2025-03-25 07:19:21,654 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 55/134 +[2025-03-25 07:19:21,681 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 56/134 +[2025-03-25 07:19:21,707 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 57/134 +[2025-03-25 07:19:21,733 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 58/134 +[2025-03-25 07:19:21,760 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 59/134 +[2025-03-25 07:19:21,788 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 60/134 +[2025-03-25 07:19:21,815 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 61/134 +[2025-03-25 07:19:21,841 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 62/134 +[2025-03-25 07:19:21,868 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 63/134 +[2025-03-25 07:19:21,894 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 64/134 +[2025-03-25 07:19:21,921 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 65/134 +[2025-03-25 07:19:21,947 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 66/134 +[2025-03-25 07:19:21,973 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 67/134 +[2025-03-25 07:19:21,999 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 68/134 +[2025-03-25 07:19:22,025 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 69/134 +[2025-03-25 07:19:22,052 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 70/134 +[2025-03-25 07:19:22,078 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 71/134 +[2025-03-25 07:19:22,105 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:22,393 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 83/134 +[2025-03-25 07:19:22,420 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 84/134 +[2025-03-25 07:19:22,447 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 85/134 +[2025-03-25 07:19:22,474 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 86/134 +[2025-03-25 07:19:22,500 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 87/134 +[2025-03-25 07:19:22,527 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 88/134 +[2025-03-25 07:19:22,554 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 89/134 +[2025-03-25 07:19:22,582 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 90/134 +[2025-03-25 07:19:22,609 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 91/134 +[2025-03-25 07:19:22,636 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 92/134 +[2025-03-25 07:19:22,662 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 93/134 +[2025-03-25 07:19:22,689 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 94/134 +[2025-03-25 07:19:22,716 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 95/134 +[2025-03-25 07:19:22,743 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 96/134 +[2025-03-25 07:19:22,770 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 97/134 +[2025-03-25 07:19:22,796 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 98/134 +[2025-03-25 07:19:22,823 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 99/134 +[2025-03-25 07:19:22,850 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 100/134 +[2025-03-25 07:19:22,877 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 101/134 +[2025-03-25 07:19:22,903 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 102/134 +[2025-03-25 07:19:22,929 INFO test.py line 201 195048] Test: 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07:19:23,467 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 124/134 +[2025-03-25 07:19:23,488 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 125/134 +[2025-03-25 07:19:23,509 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 126/134 +[2025-03-25 07:19:23,529 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 127/134 +[2025-03-25 07:19:23,549 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 128/134 +[2025-03-25 07:19:23,569 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 129/134 +[2025-03-25 07:19:23,589 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 130/134 +[2025-03-25 07:19:23,609 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 131/134 +[2025-03-25 07:19:23,629 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 132/134 +[2025-03-25 07:19:23,649 INFO test.py line 201 195048] Test: 61/78-scene0558_00, Batch: 133/134 +[2025-03-25 07:19:23,720 INFO test.py line 291 195048] Test: scene0558_00 [61/78]-92953 Batch 3.556 (4.351) Accuracy 0.9144 (0.7635) mIoU 0.4253 (0.6811) +[2025-03-25 07:19:23,743 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 0/139 +[2025-03-25 07:19:23,763 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 1/139 +[2025-03-25 07:19:23,782 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 2/139 +[2025-03-25 07:19:23,802 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 3/139 +[2025-03-25 07:19:23,822 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 4/139 +[2025-03-25 07:19:23,842 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 5/139 +[2025-03-25 07:19:23,862 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 6/139 +[2025-03-25 07:19:23,881 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 7/139 +[2025-03-25 07:19:23,901 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 8/139 +[2025-03-25 07:19:23,921 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 9/139 +[2025-03-25 07:19:23,942 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 10/139 +[2025-03-25 07:19:23,962 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 11/139 +[2025-03-25 07:19:23,981 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 12/139 +[2025-03-25 07:19:24,001 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 13/139 +[2025-03-25 07:19:24,021 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 14/139 +[2025-03-25 07:19:24,041 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 15/139 +[2025-03-25 07:19:24,061 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 16/139 +[2025-03-25 07:19:24,080 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 17/139 +[2025-03-25 07:19:24,100 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 18/139 +[2025-03-25 07:19:24,120 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:24,341 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 30/139 +[2025-03-25 07:19:24,360 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 31/139 +[2025-03-25 07:19:24,380 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 32/139 +[2025-03-25 07:19:24,400 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 33/139 +[2025-03-25 07:19:24,419 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 34/139 +[2025-03-25 07:19:24,442 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 35/139 +[2025-03-25 07:19:24,466 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 36/139 +[2025-03-25 07:19:24,491 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 37/139 +[2025-03-25 07:19:24,514 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 38/139 +[2025-03-25 07:19:24,538 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 39/139 +[2025-03-25 07:19:24,561 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 40/139 +[2025-03-25 07:19:24,585 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 41/139 +[2025-03-25 07:19:24,610 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 42/139 +[2025-03-25 07:19:24,633 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 43/139 +[2025-03-25 07:19:24,657 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 44/139 +[2025-03-25 07:19:24,680 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 45/139 +[2025-03-25 07:19:24,703 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 46/139 +[2025-03-25 07:19:24,726 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 47/139 +[2025-03-25 07:19:24,750 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 48/139 +[2025-03-25 07:19:24,772 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 49/139 +[2025-03-25 07:19:24,795 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:25,094 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 61/139 +[2025-03-25 07:19:25,124 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 62/139 +[2025-03-25 07:19:25,154 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 63/139 +[2025-03-25 07:19:25,201 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 64/139 +[2025-03-25 07:19:25,230 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 65/139 +[2025-03-25 07:19:25,258 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 66/139 +[2025-03-25 07:19:25,288 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 67/139 +[2025-03-25 07:19:25,319 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 68/139 +[2025-03-25 07:19:25,358 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 69/139 +[2025-03-25 07:19:25,391 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 70/139 +[2025-03-25 07:19:25,422 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 71/139 +[2025-03-25 07:19:25,452 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 72/139 +[2025-03-25 07:19:25,482 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 73/139 +[2025-03-25 07:19:25,509 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 74/139 +[2025-03-25 07:19:25,532 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 75/139 +[2025-03-25 07:19:25,555 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 76/139 +[2025-03-25 07:19:25,579 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 77/139 +[2025-03-25 07:19:25,602 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 78/139 +[2025-03-25 07:19:25,625 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 79/139 +[2025-03-25 07:19:25,648 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 80/139 +[2025-03-25 07:19:25,671 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:25,943 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 92/139 +[2025-03-25 07:19:25,968 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 93/139 +[2025-03-25 07:19:25,993 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 94/139 +[2025-03-25 07:19:26,018 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 95/139 +[2025-03-25 07:19:26,043 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 96/139 +[2025-03-25 07:19:26,069 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 97/139 +[2025-03-25 07:19:26,095 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 98/139 +[2025-03-25 07:19:26,120 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 99/139 +[2025-03-25 07:19:26,144 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 100/139 +[2025-03-25 07:19:26,169 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 101/139 +[2025-03-25 07:19:26,195 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 102/139 +[2025-03-25 07:19:26,219 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 103/139 +[2025-03-25 07:19:26,245 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 104/139 +[2025-03-25 07:19:26,269 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 105/139 +[2025-03-25 07:19:26,296 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 106/139 +[2025-03-25 07:19:26,338 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 107/139 +[2025-03-25 07:19:26,377 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 108/139 +[2025-03-25 07:19:26,418 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 109/139 +[2025-03-25 07:19:26,455 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 110/139 +[2025-03-25 07:19:26,492 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 111/139 +[2025-03-25 07:19:26,527 INFO test.py line 201 195048] Test: 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07:19:27,233 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 133/139 +[2025-03-25 07:19:27,261 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 134/139 +[2025-03-25 07:19:27,286 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 135/139 +[2025-03-25 07:19:27,313 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 136/139 +[2025-03-25 07:19:27,339 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 137/139 +[2025-03-25 07:19:27,366 INFO test.py line 201 195048] Test: 62/78-scene0084_02, Batch: 138/139 +[2025-03-25 07:19:27,475 INFO test.py line 291 195048] Test: scene0084_02 [62/78]-98346 Batch 3.754 (4.341) Accuracy 0.9428 (0.7633) mIoU 0.5133 (0.6823) +[2025-03-25 07:19:27,519 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 0/143 +[2025-03-25 07:19:27,556 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 1/143 +[2025-03-25 07:19:27,593 INFO test.py line 201 195048] Test: 63/78-scene0629_02, 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+[2025-03-25 07:19:28,787 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 34/143 +[2025-03-25 07:19:28,825 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 35/143 +[2025-03-25 07:19:28,860 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 36/143 +[2025-03-25 07:19:28,918 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 37/143 +[2025-03-25 07:19:28,969 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 38/143 +[2025-03-25 07:19:29,012 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 39/143 +[2025-03-25 07:19:29,061 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 40/143 +[2025-03-25 07:19:29,107 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 41/143 +[2025-03-25 07:19:29,152 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 42/143 +[2025-03-25 07:19:29,200 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 43/143 +[2025-03-25 07:19:29,245 INFO test.py 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07:19:32,737 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 137/143 +[2025-03-25 07:19:32,772 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 138/143 +[2025-03-25 07:19:32,808 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 139/143 +[2025-03-25 07:19:32,844 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 140/143 +[2025-03-25 07:19:32,879 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 141/143 +[2025-03-25 07:19:32,915 INFO test.py line 201 195048] Test: 63/78-scene0629_02, Batch: 142/143 +[2025-03-25 07:19:33,147 INFO test.py line 291 195048] Test: scene0629_02 [63/78]-225983 Batch 5.672 (4.362) Accuracy 0.8615 (0.7624) mIoU 0.3991 (0.6806) +[2025-03-25 07:19:33,186 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 0/126 +[2025-03-25 07:19:33,220 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 1/126 +[2025-03-25 07:19:33,253 INFO test.py line 201 195048] Test: 64/78-scene0474_04, 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+[2025-03-25 07:19:34,323 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 34/126 +[2025-03-25 07:19:34,357 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 35/126 +[2025-03-25 07:19:34,391 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 36/126 +[2025-03-25 07:19:34,425 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 37/126 +[2025-03-25 07:19:34,459 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 38/126 +[2025-03-25 07:19:34,492 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 39/126 +[2025-03-25 07:19:34,524 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 40/126 +[2025-03-25 07:19:34,555 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 41/126 +[2025-03-25 07:19:34,587 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 42/126 +[2025-03-25 07:19:34,623 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 43/126 +[2025-03-25 07:19:34,655 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 44/126 +[2025-03-25 07:19:34,687 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 45/126 +[2025-03-25 07:19:34,719 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 46/126 +[2025-03-25 07:19:34,759 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 47/126 +[2025-03-25 07:19:34,796 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 48/126 +[2025-03-25 07:19:34,829 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 49/126 +[2025-03-25 07:19:34,862 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 50/126 +[2025-03-25 07:19:34,894 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 51/126 +[2025-03-25 07:19:34,933 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 52/126 +[2025-03-25 07:19:34,965 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 53/126 +[2025-03-25 07:19:34,997 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:35,348 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 65/126 +[2025-03-25 07:19:35,379 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 66/126 +[2025-03-25 07:19:35,411 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 67/126 +[2025-03-25 07:19:35,444 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 68/126 +[2025-03-25 07:19:35,476 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 69/126 +[2025-03-25 07:19:35,512 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 70/126 +[2025-03-25 07:19:35,543 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 71/126 +[2025-03-25 07:19:35,575 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 72/126 +[2025-03-25 07:19:35,607 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 73/126 +[2025-03-25 07:19:35,641 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 74/126 +[2025-03-25 07:19:35,673 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 75/126 +[2025-03-25 07:19:35,706 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 76/126 +[2025-03-25 07:19:35,738 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 77/126 +[2025-03-25 07:19:35,770 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 78/126 +[2025-03-25 07:19:35,803 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 79/126 +[2025-03-25 07:19:35,843 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 80/126 +[2025-03-25 07:19:35,876 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 81/126 +[2025-03-25 07:19:35,917 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 82/126 +[2025-03-25 07:19:35,950 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 83/126 +[2025-03-25 07:19:35,985 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 84/126 +[2025-03-25 07:19:36,021 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:36,412 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 96/126 +[2025-03-25 07:19:36,446 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 97/126 +[2025-03-25 07:19:36,478 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 98/126 +[2025-03-25 07:19:36,511 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 99/126 +[2025-03-25 07:19:36,543 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 100/126 +[2025-03-25 07:19:36,575 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 101/126 +[2025-03-25 07:19:36,608 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 102/126 +[2025-03-25 07:19:36,642 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 103/126 +[2025-03-25 07:19:36,679 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 104/126 +[2025-03-25 07:19:36,716 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 105/126 +[2025-03-25 07:19:36,760 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 106/126 +[2025-03-25 07:19:36,792 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 107/126 +[2025-03-25 07:19:36,824 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 108/126 +[2025-03-25 07:19:36,857 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 109/126 +[2025-03-25 07:19:36,889 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 110/126 +[2025-03-25 07:19:36,920 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 111/126 +[2025-03-25 07:19:36,954 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 112/126 +[2025-03-25 07:19:36,986 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 113/126 +[2025-03-25 07:19:37,018 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 114/126 +[2025-03-25 07:19:37,049 INFO test.py line 201 195048] Test: 64/78-scene0474_04, Batch: 115/126 +[2025-03-25 07:19:37,079 INFO test.py line 201 195048] Test: 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Batch 4.413 (4.363) Accuracy 0.8205 (0.7603) mIoU 0.4545 (0.6788) +[2025-03-25 07:19:37,588 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 0/108 +[2025-03-25 07:19:37,613 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 1/108 +[2025-03-25 07:19:37,637 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 2/108 +[2025-03-25 07:19:37,662 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 3/108 +[2025-03-25 07:19:37,686 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 4/108 +[2025-03-25 07:19:37,711 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 5/108 +[2025-03-25 07:19:37,735 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 6/108 +[2025-03-25 07:19:37,760 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 7/108 +[2025-03-25 07:19:37,784 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 8/108 +[2025-03-25 07:19:37,808 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:38,086 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 20/108 +[2025-03-25 07:19:38,110 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 21/108 +[2025-03-25 07:19:38,133 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 22/108 +[2025-03-25 07:19:38,156 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 23/108 +[2025-03-25 07:19:38,180 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 24/108 +[2025-03-25 07:19:38,203 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 25/108 +[2025-03-25 07:19:38,226 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 26/108 +[2025-03-25 07:19:38,254 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 27/108 +[2025-03-25 07:19:38,281 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 28/108 +[2025-03-25 07:19:38,308 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 29/108 +[2025-03-25 07:19:38,334 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 30/108 +[2025-03-25 07:19:38,360 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 31/108 +[2025-03-25 07:19:38,386 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 32/108 +[2025-03-25 07:19:38,412 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 33/108 +[2025-03-25 07:19:38,439 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 34/108 +[2025-03-25 07:19:38,466 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 35/108 +[2025-03-25 07:19:38,493 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 36/108 +[2025-03-25 07:19:38,519 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 37/108 +[2025-03-25 07:19:38,545 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 38/108 +[2025-03-25 07:19:38,574 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 39/108 +[2025-03-25 07:19:38,601 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:38,896 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 51/108 +[2025-03-25 07:19:38,922 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 52/108 +[2025-03-25 07:19:38,948 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 53/108 +[2025-03-25 07:19:38,975 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 54/108 +[2025-03-25 07:19:39,002 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 55/108 +[2025-03-25 07:19:39,028 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 56/108 +[2025-03-25 07:19:39,058 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 57/108 +[2025-03-25 07:19:39,087 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 58/108 +[2025-03-25 07:19:39,114 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 59/108 +[2025-03-25 07:19:39,143 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 60/108 +[2025-03-25 07:19:39,172 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 61/108 +[2025-03-25 07:19:39,202 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 62/108 +[2025-03-25 07:19:39,232 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 63/108 +[2025-03-25 07:19:39,262 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 64/108 +[2025-03-25 07:19:39,291 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 65/108 +[2025-03-25 07:19:39,320 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 66/108 +[2025-03-25 07:19:39,350 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 67/108 +[2025-03-25 07:19:39,381 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 68/108 +[2025-03-25 07:19:39,409 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 69/108 +[2025-03-25 07:19:39,440 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 70/108 +[2025-03-25 07:19:39,469 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:39,817 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 82/108 +[2025-03-25 07:19:39,844 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 83/108 +[2025-03-25 07:19:39,872 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 84/108 +[2025-03-25 07:19:39,900 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 85/108 +[2025-03-25 07:19:39,927 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 86/108 +[2025-03-25 07:19:39,954 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 87/108 +[2025-03-25 07:19:39,981 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 88/108 +[2025-03-25 07:19:40,008 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 89/108 +[2025-03-25 07:19:40,035 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 90/108 +[2025-03-25 07:19:40,062 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 91/108 +[2025-03-25 07:19:40,088 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 92/108 +[2025-03-25 07:19:40,114 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 93/108 +[2025-03-25 07:19:40,140 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 94/108 +[2025-03-25 07:19:40,167 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 95/108 +[2025-03-25 07:19:40,194 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 96/108 +[2025-03-25 07:19:40,221 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 97/108 +[2025-03-25 07:19:40,248 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 98/108 +[2025-03-25 07:19:40,274 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 99/108 +[2025-03-25 07:19:40,301 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 100/108 +[2025-03-25 07:19:40,327 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 101/108 +[2025-03-25 07:19:40,354 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 102/108 +[2025-03-25 07:19:40,380 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 103/108 +[2025-03-25 07:19:40,407 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 104/108 +[2025-03-25 07:19:40,433 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 105/108 +[2025-03-25 07:19:40,458 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 106/108 +[2025-03-25 07:19:40,485 INFO test.py line 201 195048] Test: 65/78-scene0256_02, Batch: 107/108 +[2025-03-25 07:19:40,594 INFO test.py line 291 195048] Test: scene0256_02 [65/78]-92069 Batch 3.032 (4.343) Accuracy 0.9039 (0.7634) mIoU 0.2934 (0.6820) +[2025-03-25 07:19:40,632 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 0/126 +[2025-03-25 07:19:40,665 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 1/126 +[2025-03-25 07:19:40,698 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 2/126 +[2025-03-25 07:19:40,731 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 3/126 +[2025-03-25 07:19:40,763 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 4/126 +[2025-03-25 07:19:40,797 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 5/126 +[2025-03-25 07:19:40,839 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 6/126 +[2025-03-25 07:19:40,872 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 7/126 +[2025-03-25 07:19:40,905 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 8/126 +[2025-03-25 07:19:40,938 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 9/126 +[2025-03-25 07:19:40,971 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 10/126 +[2025-03-25 07:19:41,007 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 11/126 +[2025-03-25 07:19:41,050 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 12/126 +[2025-03-25 07:19:41,085 INFO test.py line 201 195048] Test: 66/78-scene0025_02, 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INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 24/126 +[2025-03-25 07:19:41,492 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 25/126 +[2025-03-25 07:19:41,527 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 26/126 +[2025-03-25 07:19:41,562 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 27/126 +[2025-03-25 07:19:41,597 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 28/126 +[2025-03-25 07:19:41,631 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 29/126 +[2025-03-25 07:19:41,666 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 30/126 +[2025-03-25 07:19:41,701 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 31/126 +[2025-03-25 07:19:41,735 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 32/126 +[2025-03-25 07:19:41,769 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 33/126 +[2025-03-25 07:19:41,804 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:42,209 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 45/126 +[2025-03-25 07:19:42,244 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 46/126 +[2025-03-25 07:19:42,277 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 47/126 +[2025-03-25 07:19:42,311 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 48/126 +[2025-03-25 07:19:42,344 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 49/126 +[2025-03-25 07:19:42,378 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 50/126 +[2025-03-25 07:19:42,411 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 51/126 +[2025-03-25 07:19:42,444 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 52/126 +[2025-03-25 07:19:42,478 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 53/126 +[2025-03-25 07:19:42,511 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 54/126 +[2025-03-25 07:19:42,543 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 55/126 +[2025-03-25 07:19:42,578 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 56/126 +[2025-03-25 07:19:42,624 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 57/126 +[2025-03-25 07:19:42,664 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 58/126 +[2025-03-25 07:19:42,705 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 59/126 +[2025-03-25 07:19:42,745 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 60/126 +[2025-03-25 07:19:42,787 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 61/126 +[2025-03-25 07:19:42,827 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 62/126 +[2025-03-25 07:19:42,868 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 63/126 +[2025-03-25 07:19:42,912 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 64/126 +[2025-03-25 07:19:42,950 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:43,380 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 76/126 +[2025-03-25 07:19:43,412 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 77/126 +[2025-03-25 07:19:43,470 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 78/126 +[2025-03-25 07:19:43,540 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 79/126 +[2025-03-25 07:19:43,612 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 80/126 +[2025-03-25 07:19:43,685 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 81/126 +[2025-03-25 07:19:43,725 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 82/126 +[2025-03-25 07:19:43,766 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 83/126 +[2025-03-25 07:19:43,799 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 84/126 +[2025-03-25 07:19:43,831 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 85/126 +[2025-03-25 07:19:43,863 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 86/126 +[2025-03-25 07:19:43,896 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 87/126 +[2025-03-25 07:19:43,932 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 88/126 +[2025-03-25 07:19:43,965 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 89/126 +[2025-03-25 07:19:43,997 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 90/126 +[2025-03-25 07:19:44,029 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 91/126 +[2025-03-25 07:19:44,062 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 92/126 +[2025-03-25 07:19:44,093 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 93/126 +[2025-03-25 07:19:44,128 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 94/126 +[2025-03-25 07:19:44,161 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 95/126 +[2025-03-25 07:19:44,196 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:44,592 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 107/126 +[2025-03-25 07:19:44,622 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 108/126 +[2025-03-25 07:19:44,653 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 109/126 +[2025-03-25 07:19:44,683 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 110/126 +[2025-03-25 07:19:44,715 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 111/126 +[2025-03-25 07:19:44,745 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 112/126 +[2025-03-25 07:19:44,776 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 113/126 +[2025-03-25 07:19:44,808 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 114/126 +[2025-03-25 07:19:44,841 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 115/126 +[2025-03-25 07:19:44,872 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 116/126 +[2025-03-25 07:19:44,903 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 117/126 +[2025-03-25 07:19:44,934 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 118/126 +[2025-03-25 07:19:44,965 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 119/126 +[2025-03-25 07:19:44,995 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 120/126 +[2025-03-25 07:19:45,025 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 121/126 +[2025-03-25 07:19:45,056 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 122/126 +[2025-03-25 07:19:45,089 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 123/126 +[2025-03-25 07:19:45,120 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 124/126 +[2025-03-25 07:19:45,154 INFO test.py line 201 195048] Test: 66/78-scene0025_02, Batch: 125/126 +[2025-03-25 07:19:45,361 INFO test.py line 291 195048] Test: scene0025_02 [66/78]-177900 Batch 4.767 (4.349) Accuracy 0.8828 (0.7632) mIoU 0.4766 (0.6819) +[2025-03-25 07:19:45,408 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 0/148 +[2025-03-25 07:19:45,444 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 1/148 +[2025-03-25 07:19:45,480 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 2/148 +[2025-03-25 07:19:45,516 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 3/148 +[2025-03-25 07:19:45,552 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 4/148 +[2025-03-25 07:19:45,589 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 5/148 +[2025-03-25 07:19:45,626 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 6/148 +[2025-03-25 07:19:45,664 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 7/148 +[2025-03-25 07:19:45,702 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 8/148 +[2025-03-25 07:19:45,742 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 9/148 +[2025-03-25 07:19:45,783 INFO test.py line 201 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201 195048] Test: 67/78-scene0568_01, Batch: 134/148 +[2025-03-25 07:19:50,941 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 135/148 +[2025-03-25 07:19:50,981 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 136/148 +[2025-03-25 07:19:51,020 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 137/148 +[2025-03-25 07:19:51,059 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 138/148 +[2025-03-25 07:19:51,101 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 139/148 +[2025-03-25 07:19:51,141 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 140/148 +[2025-03-25 07:19:51,181 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 141/148 +[2025-03-25 07:19:51,221 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 142/148 +[2025-03-25 07:19:51,260 INFO test.py line 201 195048] Test: 67/78-scene0568_01, Batch: 143/148 +[2025-03-25 07:19:51,299 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:53,103 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 47/130 +[2025-03-25 07:19:53,140 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 48/130 +[2025-03-25 07:19:53,182 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 49/130 +[2025-03-25 07:19:53,221 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 50/130 +[2025-03-25 07:19:53,259 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 51/130 +[2025-03-25 07:19:53,311 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 52/130 +[2025-03-25 07:19:53,370 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 53/130 +[2025-03-25 07:19:53,430 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 54/130 +[2025-03-25 07:19:53,482 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 55/130 +[2025-03-25 07:19:53,545 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 56/130 +[2025-03-25 07:19:53,589 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 57/130 +[2025-03-25 07:19:53,628 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 58/130 +[2025-03-25 07:19:53,661 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 59/130 +[2025-03-25 07:19:53,692 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 60/130 +[2025-03-25 07:19:53,744 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 61/130 +[2025-03-25 07:19:53,780 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 62/130 +[2025-03-25 07:19:53,815 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 63/130 +[2025-03-25 07:19:53,850 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 64/130 +[2025-03-25 07:19:53,888 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 65/130 +[2025-03-25 07:19:53,923 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 66/130 +[2025-03-25 07:19:53,949 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:54,234 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 78/130 +[2025-03-25 07:19:54,259 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 79/130 +[2025-03-25 07:19:54,285 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 80/130 +[2025-03-25 07:19:54,310 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 81/130 +[2025-03-25 07:19:54,337 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 82/130 +[2025-03-25 07:19:54,364 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 83/130 +[2025-03-25 07:19:54,393 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 84/130 +[2025-03-25 07:19:54,421 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 85/130 +[2025-03-25 07:19:54,450 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 86/130 +[2025-03-25 07:19:54,478 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 87/130 +[2025-03-25 07:19:54,506 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 88/130 +[2025-03-25 07:19:54,535 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 89/130 +[2025-03-25 07:19:54,563 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 90/130 +[2025-03-25 07:19:54,589 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 91/130 +[2025-03-25 07:19:54,616 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 92/130 +[2025-03-25 07:19:54,643 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 93/130 +[2025-03-25 07:19:54,671 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 94/130 +[2025-03-25 07:19:54,698 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 95/130 +[2025-03-25 07:19:54,726 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 96/130 +[2025-03-25 07:19:54,753 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 97/130 +[2025-03-25 07:19:54,789 INFO test.py line 201 195048] Test: 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07:19:55,353 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 119/130 +[2025-03-25 07:19:55,379 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 120/130 +[2025-03-25 07:19:55,406 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 121/130 +[2025-03-25 07:19:55,433 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 122/130 +[2025-03-25 07:19:55,460 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 123/130 +[2025-03-25 07:19:55,486 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 124/130 +[2025-03-25 07:19:55,514 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 125/130 +[2025-03-25 07:19:55,540 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 126/130 +[2025-03-25 07:19:55,567 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 127/130 +[2025-03-25 07:19:55,593 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 128/130 +[2025-03-25 07:19:55,619 INFO test.py line 201 195048] Test: 68/78-scene0426_02, Batch: 129/130 +[2025-03-25 07:19:55,763 INFO test.py line 291 195048] Test: scene0426_02 [68/78]-125149 Batch 4.075 (4.374) Accuracy 0.8855 (0.7646) mIoU 0.4968 (0.6842) +[2025-03-25 07:19:55,789 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 0/122 +[2025-03-25 07:19:55,811 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 1/122 +[2025-03-25 07:19:55,834 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 2/122 +[2025-03-25 07:19:55,857 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 3/122 +[2025-03-25 07:19:55,882 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 4/122 +[2025-03-25 07:19:55,905 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 5/122 +[2025-03-25 07:19:55,929 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 6/122 +[2025-03-25 07:19:55,952 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 7/122 +[2025-03-25 07:19:55,977 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 8/122 +[2025-03-25 07:19:56,000 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 9/122 +[2025-03-25 07:19:56,024 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 10/122 +[2025-03-25 07:19:56,048 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 11/122 +[2025-03-25 07:19:56,072 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 12/122 +[2025-03-25 07:19:56,100 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 13/122 +[2025-03-25 07:19:56,128 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 14/122 +[2025-03-25 07:19:56,154 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 15/122 +[2025-03-25 07:19:56,184 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 16/122 +[2025-03-25 07:19:56,207 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 17/122 +[2025-03-25 07:19:56,229 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:56,483 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 29/122 +[2025-03-25 07:19:56,506 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 30/122 +[2025-03-25 07:19:56,529 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 31/122 +[2025-03-25 07:19:56,551 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 32/122 +[2025-03-25 07:19:56,574 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 33/122 +[2025-03-25 07:19:56,597 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 34/122 +[2025-03-25 07:19:56,620 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 35/122 +[2025-03-25 07:19:56,643 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 36/122 +[2025-03-25 07:19:56,666 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 37/122 +[2025-03-25 07:19:56,689 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 38/122 +[2025-03-25 07:19:56,713 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 39/122 +[2025-03-25 07:19:56,737 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 40/122 +[2025-03-25 07:19:56,760 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 41/122 +[2025-03-25 07:19:56,783 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 42/122 +[2025-03-25 07:19:56,806 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 43/122 +[2025-03-25 07:19:56,829 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 44/122 +[2025-03-25 07:19:56,852 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 45/122 +[2025-03-25 07:19:56,874 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 46/122 +[2025-03-25 07:19:56,897 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 47/122 +[2025-03-25 07:19:56,919 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 48/122 +[2025-03-25 07:19:56,942 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:57,196 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 60/122 +[2025-03-25 07:19:57,218 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 61/122 +[2025-03-25 07:19:57,245 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 62/122 +[2025-03-25 07:19:57,268 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 63/122 +[2025-03-25 07:19:57,290 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 64/122 +[2025-03-25 07:19:57,319 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 65/122 +[2025-03-25 07:19:57,343 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 66/122 +[2025-03-25 07:19:57,365 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 67/122 +[2025-03-25 07:19:57,399 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 68/122 +[2025-03-25 07:19:57,420 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 69/122 +[2025-03-25 07:19:57,442 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 70/122 +[2025-03-25 07:19:57,478 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 71/122 +[2025-03-25 07:19:57,501 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 72/122 +[2025-03-25 07:19:57,523 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 73/122 +[2025-03-25 07:19:57,545 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 74/122 +[2025-03-25 07:19:57,567 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 75/122 +[2025-03-25 07:19:57,590 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 76/122 +[2025-03-25 07:19:57,613 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 77/122 +[2025-03-25 07:19:57,635 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 78/122 +[2025-03-25 07:19:57,656 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 79/122 +[2025-03-25 07:19:57,678 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:57,928 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 91/122 +[2025-03-25 07:19:57,952 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 92/122 +[2025-03-25 07:19:57,974 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 93/122 +[2025-03-25 07:19:57,996 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 94/122 +[2025-03-25 07:19:58,019 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 95/122 +[2025-03-25 07:19:58,041 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 96/122 +[2025-03-25 07:19:58,064 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 97/122 +[2025-03-25 07:19:58,086 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 98/122 +[2025-03-25 07:19:58,108 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 99/122 +[2025-03-25 07:19:58,131 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 100/122 +[2025-03-25 07:19:58,154 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 101/122 +[2025-03-25 07:19:58,176 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 102/122 +[2025-03-25 07:19:58,199 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 103/122 +[2025-03-25 07:19:58,222 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 104/122 +[2025-03-25 07:19:58,244 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 105/122 +[2025-03-25 07:19:58,266 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 106/122 +[2025-03-25 07:19:58,289 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 107/122 +[2025-03-25 07:19:58,312 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 108/122 +[2025-03-25 07:19:58,334 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 109/122 +[2025-03-25 07:19:58,357 INFO test.py line 201 195048] Test: 69/78-scene0355_01, Batch: 110/122 +[2025-03-25 07:19:58,379 INFO test.py line 201 195048] Test: 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121/122 +[2025-03-25 07:19:58,674 INFO test.py line 291 195048] Test: scene0355_01 [69/78]-67623 Batch 2.910 (4.353) Accuracy 0.9615 (0.7647) mIoU 0.5391 (0.6843) +[2025-03-25 07:19:58,700 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 0/142 +[2025-03-25 07:19:58,723 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 1/142 +[2025-03-25 07:19:58,746 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 2/142 +[2025-03-25 07:19:58,769 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 3/142 +[2025-03-25 07:19:58,792 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 4/142 +[2025-03-25 07:19:58,815 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 5/142 +[2025-03-25 07:19:58,838 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 6/142 +[2025-03-25 07:19:58,861 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 7/142 +[2025-03-25 07:19:58,884 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:19:59,190 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 19/142 +[2025-03-25 07:19:59,221 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 20/142 +[2025-03-25 07:19:59,245 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 21/142 +[2025-03-25 07:19:59,268 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 22/142 +[2025-03-25 07:19:59,291 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 23/142 +[2025-03-25 07:19:59,315 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 24/142 +[2025-03-25 07:19:59,338 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 25/142 +[2025-03-25 07:19:59,365 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 26/142 +[2025-03-25 07:19:59,401 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 27/142 +[2025-03-25 07:19:59,442 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 28/142 +[2025-03-25 07:19:59,473 INFO test.py 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+[2025-03-25 07:20:00,015 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 50/142 +[2025-03-25 07:20:00,037 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 51/142 +[2025-03-25 07:20:00,060 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 52/142 +[2025-03-25 07:20:00,083 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 53/142 +[2025-03-25 07:20:00,106 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 54/142 +[2025-03-25 07:20:00,129 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 55/142 +[2025-03-25 07:20:00,152 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 56/142 +[2025-03-25 07:20:00,177 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 57/142 +[2025-03-25 07:20:00,201 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 58/142 +[2025-03-25 07:20:00,228 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 59/142 +[2025-03-25 07:20:00,256 INFO test.py 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+[2025-03-25 07:20:00,884 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 81/142 +[2025-03-25 07:20:00,908 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 82/142 +[2025-03-25 07:20:00,929 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 83/142 +[2025-03-25 07:20:00,953 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 84/142 +[2025-03-25 07:20:00,975 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 85/142 +[2025-03-25 07:20:00,999 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 86/142 +[2025-03-25 07:20:01,022 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 87/142 +[2025-03-25 07:20:01,044 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 88/142 +[2025-03-25 07:20:01,068 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 89/142 +[2025-03-25 07:20:01,089 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 90/142 +[2025-03-25 07:20:01,111 INFO test.py 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201 195048] Test: 70/78-scene0607_01, Batch: 132/142 +[2025-03-25 07:20:02,036 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 133/142 +[2025-03-25 07:20:02,057 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 134/142 +[2025-03-25 07:20:02,078 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 135/142 +[2025-03-25 07:20:02,101 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 136/142 +[2025-03-25 07:20:02,122 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 137/142 +[2025-03-25 07:20:02,145 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 138/142 +[2025-03-25 07:20:02,166 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 139/142 +[2025-03-25 07:20:02,196 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 140/142 +[2025-03-25 07:20:02,220 INFO test.py line 201 195048] Test: 70/78-scene0607_01, Batch: 141/142 +[2025-03-25 07:20:02,321 INFO test.py line 291 195048] Test: scene0607_01 [70/78]-78387 Batch 3.646 (4.343) Accuracy 0.8644 (0.7610) mIoU 0.4319 (0.6809) +[2025-03-25 07:20:02,361 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 0/130 +[2025-03-25 07:20:02,395 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 1/130 +[2025-03-25 07:20:02,430 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 2/130 +[2025-03-25 07:20:02,465 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 3/130 +[2025-03-25 07:20:02,501 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 4/130 +[2025-03-25 07:20:02,537 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 5/130 +[2025-03-25 07:20:02,574 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 6/130 +[2025-03-25 07:20:02,611 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 7/130 +[2025-03-25 07:20:02,649 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 8/130 +[2025-03-25 07:20:02,686 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:03,093 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 20/130 +[2025-03-25 07:20:03,129 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 21/130 +[2025-03-25 07:20:03,168 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 22/130 +[2025-03-25 07:20:03,206 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 23/130 +[2025-03-25 07:20:03,246 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 24/130 +[2025-03-25 07:20:03,283 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 25/130 +[2025-03-25 07:20:03,327 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 26/130 +[2025-03-25 07:20:03,365 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 27/130 +[2025-03-25 07:20:03,403 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 28/130 +[2025-03-25 07:20:03,441 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 29/130 +[2025-03-25 07:20:03,478 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 30/130 +[2025-03-25 07:20:03,516 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 31/130 +[2025-03-25 07:20:03,562 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 32/130 +[2025-03-25 07:20:03,600 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 33/130 +[2025-03-25 07:20:03,638 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 34/130 +[2025-03-25 07:20:03,676 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 35/130 +[2025-03-25 07:20:03,721 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 36/130 +[2025-03-25 07:20:03,767 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 37/130 +[2025-03-25 07:20:03,813 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 38/130 +[2025-03-25 07:20:03,859 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 39/130 +[2025-03-25 07:20:03,906 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:04,561 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 51/130 +[2025-03-25 07:20:04,628 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 52/130 +[2025-03-25 07:20:04,679 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 53/130 +[2025-03-25 07:20:04,719 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 54/130 +[2025-03-25 07:20:04,755 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 55/130 +[2025-03-25 07:20:04,792 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 56/130 +[2025-03-25 07:20:04,827 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 57/130 +[2025-03-25 07:20:04,861 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 58/130 +[2025-03-25 07:20:04,902 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 59/130 +[2025-03-25 07:20:04,938 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 60/130 +[2025-03-25 07:20:04,974 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 61/130 +[2025-03-25 07:20:05,010 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 62/130 +[2025-03-25 07:20:05,046 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 63/130 +[2025-03-25 07:20:05,080 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 64/130 +[2025-03-25 07:20:05,112 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 65/130 +[2025-03-25 07:20:05,144 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 66/130 +[2025-03-25 07:20:05,176 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 67/130 +[2025-03-25 07:20:05,207 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 68/130 +[2025-03-25 07:20:05,239 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 69/130 +[2025-03-25 07:20:05,270 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 70/130 +[2025-03-25 07:20:05,302 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:05,662 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 82/130 +[2025-03-25 07:20:05,694 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 83/130 +[2025-03-25 07:20:05,732 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 84/130 +[2025-03-25 07:20:05,767 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 85/130 +[2025-03-25 07:20:05,801 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 86/130 +[2025-03-25 07:20:05,836 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 87/130 +[2025-03-25 07:20:05,874 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 88/130 +[2025-03-25 07:20:05,909 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 89/130 +[2025-03-25 07:20:05,943 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 90/130 +[2025-03-25 07:20:05,977 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 91/130 +[2025-03-25 07:20:06,011 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 92/130 +[2025-03-25 07:20:06,045 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 93/130 +[2025-03-25 07:20:06,080 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 94/130 +[2025-03-25 07:20:06,114 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 95/130 +[2025-03-25 07:20:06,148 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 96/130 +[2025-03-25 07:20:06,181 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 97/130 +[2025-03-25 07:20:06,216 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 98/130 +[2025-03-25 07:20:06,250 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 99/130 +[2025-03-25 07:20:06,284 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 100/130 +[2025-03-25 07:20:06,319 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 101/130 +[2025-03-25 07:20:06,353 INFO test.py line 201 195048] Test: 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07:20:07,075 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 123/130 +[2025-03-25 07:20:07,108 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 124/130 +[2025-03-25 07:20:07,142 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 125/130 +[2025-03-25 07:20:07,176 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 126/130 +[2025-03-25 07:20:07,211 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 127/130 +[2025-03-25 07:20:07,245 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 128/130 +[2025-03-25 07:20:07,281 INFO test.py line 201 195048] Test: 71/78-scene0203_01, Batch: 129/130 +[2025-03-25 07:20:07,506 INFO test.py line 291 195048] Test: scene0203_01 [71/78]-206210 Batch 5.185 (4.355) Accuracy 0.8816 (0.7602) mIoU 0.4539 (0.6804) +[2025-03-25 07:20:07,532 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 0/136 +[2025-03-25 07:20:07,554 INFO test.py line 201 195048] Test: 72/78-scene0684_01, 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+[2025-03-25 07:20:08,254 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 33/136 +[2025-03-25 07:20:08,274 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 34/136 +[2025-03-25 07:20:08,296 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 35/136 +[2025-03-25 07:20:08,317 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 36/136 +[2025-03-25 07:20:08,338 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 37/136 +[2025-03-25 07:20:08,362 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 38/136 +[2025-03-25 07:20:08,383 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 39/136 +[2025-03-25 07:20:08,405 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 40/136 +[2025-03-25 07:20:08,427 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 41/136 +[2025-03-25 07:20:08,448 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 42/136 +[2025-03-25 07:20:08,470 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 43/136 +[2025-03-25 07:20:08,490 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 44/136 +[2025-03-25 07:20:08,512 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 45/136 +[2025-03-25 07:20:08,533 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 46/136 +[2025-03-25 07:20:08,556 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 47/136 +[2025-03-25 07:20:08,577 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 48/136 +[2025-03-25 07:20:08,599 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 49/136 +[2025-03-25 07:20:08,621 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 50/136 +[2025-03-25 07:20:08,642 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 51/136 +[2025-03-25 07:20:08,663 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 52/136 +[2025-03-25 07:20:08,684 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:08,922 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 64/136 +[2025-03-25 07:20:08,944 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 65/136 +[2025-03-25 07:20:08,965 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 66/136 +[2025-03-25 07:20:08,987 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 67/136 +[2025-03-25 07:20:09,007 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 68/136 +[2025-03-25 07:20:09,028 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 69/136 +[2025-03-25 07:20:09,050 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 70/136 +[2025-03-25 07:20:09,071 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 71/136 +[2025-03-25 07:20:09,093 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 72/136 +[2025-03-25 07:20:09,115 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 73/136 +[2025-03-25 07:20:09,136 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 74/136 +[2025-03-25 07:20:09,156 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 75/136 +[2025-03-25 07:20:09,178 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 76/136 +[2025-03-25 07:20:09,200 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 77/136 +[2025-03-25 07:20:09,220 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 78/136 +[2025-03-25 07:20:09,242 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 79/136 +[2025-03-25 07:20:09,263 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 80/136 +[2025-03-25 07:20:09,284 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 81/136 +[2025-03-25 07:20:09,305 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 82/136 +[2025-03-25 07:20:09,326 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 83/136 +[2025-03-25 07:20:09,347 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:09,582 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 95/136 +[2025-03-25 07:20:09,604 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 96/136 +[2025-03-25 07:20:09,625 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 97/136 +[2025-03-25 07:20:09,648 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 98/136 +[2025-03-25 07:20:09,668 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 99/136 +[2025-03-25 07:20:09,690 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 100/136 +[2025-03-25 07:20:09,711 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 101/136 +[2025-03-25 07:20:09,732 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 102/136 +[2025-03-25 07:20:09,753 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 103/136 +[2025-03-25 07:20:09,773 INFO test.py line 201 195048] Test: 72/78-scene0684_01, Batch: 104/136 +[2025-03-25 07:20:09,794 INFO 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07:20:10,631 INFO test.py line 291 195048] Test: scene0684_01 [72/78]-39474 Batch 3.125 (4.338) Accuracy 0.9673 (0.7603) mIoU 0.6180 (0.6806) +[2025-03-25 07:20:10,669 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 0/117 +[2025-03-25 07:20:10,698 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 1/117 +[2025-03-25 07:20:10,725 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 2/117 +[2025-03-25 07:20:10,756 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 3/117 +[2025-03-25 07:20:10,787 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 4/117 +[2025-03-25 07:20:10,819 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 5/117 +[2025-03-25 07:20:10,852 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 6/117 +[2025-03-25 07:20:10,881 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 7/117 +[2025-03-25 07:20:10,911 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 8/117 +[2025-03-25 07:20:10,940 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 9/117 +[2025-03-25 07:20:10,961 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 10/117 +[2025-03-25 07:20:10,983 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 11/117 +[2025-03-25 07:20:11,005 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 12/117 +[2025-03-25 07:20:11,027 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 13/117 +[2025-03-25 07:20:11,049 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 14/117 +[2025-03-25 07:20:11,071 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 15/117 +[2025-03-25 07:20:11,093 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 16/117 +[2025-03-25 07:20:11,115 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 17/117 +[2025-03-25 07:20:11,137 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 18/117 +[2025-03-25 07:20:11,159 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 19/117 +[2025-03-25 07:20:11,182 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 20/117 +[2025-03-25 07:20:11,205 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 21/117 +[2025-03-25 07:20:11,227 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 22/117 +[2025-03-25 07:20:11,250 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 23/117 +[2025-03-25 07:20:11,274 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 24/117 +[2025-03-25 07:20:11,298 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 25/117 +[2025-03-25 07:20:11,325 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 26/117 +[2025-03-25 07:20:11,349 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 27/117 +[2025-03-25 07:20:11,371 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 28/117 +[2025-03-25 07:20:11,395 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:13,059 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 102/117 +[2025-03-25 07:20:13,082 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 103/117 +[2025-03-25 07:20:13,107 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 104/117 +[2025-03-25 07:20:13,130 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 105/117 +[2025-03-25 07:20:13,153 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 106/117 +[2025-03-25 07:20:13,189 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 107/117 +[2025-03-25 07:20:13,211 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 108/117 +[2025-03-25 07:20:13,235 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 109/117 +[2025-03-25 07:20:13,259 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 110/117 +[2025-03-25 07:20:13,283 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 111/117 +[2025-03-25 07:20:13,307 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 112/117 +[2025-03-25 07:20:13,330 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 113/117 +[2025-03-25 07:20:13,354 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 114/117 +[2025-03-25 07:20:13,377 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 115/117 +[2025-03-25 07:20:13,401 INFO test.py line 201 195048] Test: 73/78-scene0686_02, Batch: 116/117 +[2025-03-25 07:20:13,501 INFO test.py line 291 195048] Test: scene0686_02 [73/78]-84543 Batch 2.869 (4.318) Accuracy 0.9488 (0.7605) mIoU 0.3613 (0.6806) +[2025-03-25 07:20:13,547 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 0/147 +[2025-03-25 07:20:13,588 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 1/147 +[2025-03-25 07:20:13,636 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 2/147 +[2025-03-25 07:20:13,673 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 3/147 +[2025-03-25 07:20:13,708 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 4/147 +[2025-03-25 07:20:13,743 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 5/147 +[2025-03-25 07:20:13,778 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 6/147 +[2025-03-25 07:20:13,813 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 7/147 +[2025-03-25 07:20:13,848 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 8/147 +[2025-03-25 07:20:13,884 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 9/147 +[2025-03-25 07:20:13,919 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 10/147 +[2025-03-25 07:20:13,950 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 11/147 +[2025-03-25 07:20:13,981 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 12/147 +[2025-03-25 07:20:14,011 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 13/147 +[2025-03-25 07:20:14,042 INFO test.py line 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+[2025-03-25 07:20:15,315 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 56/147 +[2025-03-25 07:20:15,344 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 57/147 +[2025-03-25 07:20:15,373 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 58/147 +[2025-03-25 07:20:15,407 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 59/147 +[2025-03-25 07:20:15,442 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 60/147 +[2025-03-25 07:20:15,477 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 61/147 +[2025-03-25 07:20:15,512 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 62/147 +[2025-03-25 07:20:15,546 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 63/147 +[2025-03-25 07:20:15,578 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 64/147 +[2025-03-25 07:20:15,609 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 65/147 +[2025-03-25 07:20:15,643 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 66/147 +[2025-03-25 07:20:15,674 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 67/147 +[2025-03-25 07:20:15,708 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 68/147 +[2025-03-25 07:20:15,743 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 69/147 +[2025-03-25 07:20:15,781 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 70/147 +[2025-03-25 07:20:15,818 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 71/147 +[2025-03-25 07:20:15,855 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 72/147 +[2025-03-25 07:20:15,892 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 73/147 +[2025-03-25 07:20:15,928 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 74/147 +[2025-03-25 07:20:15,965 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 75/147 +[2025-03-25 07:20:16,004 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:16,383 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 87/147 +[2025-03-25 07:20:16,415 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 88/147 +[2025-03-25 07:20:16,448 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 89/147 +[2025-03-25 07:20:16,479 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 90/147 +[2025-03-25 07:20:16,508 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 91/147 +[2025-03-25 07:20:16,538 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 92/147 +[2025-03-25 07:20:16,568 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 93/147 +[2025-03-25 07:20:16,597 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 94/147 +[2025-03-25 07:20:16,625 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 95/147 +[2025-03-25 07:20:16,654 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 96/147 +[2025-03-25 07:20:16,688 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 97/147 +[2025-03-25 07:20:16,717 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 98/147 +[2025-03-25 07:20:16,747 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 99/147 +[2025-03-25 07:20:16,783 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 100/147 +[2025-03-25 07:20:16,816 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 101/147 +[2025-03-25 07:20:16,852 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 102/147 +[2025-03-25 07:20:16,889 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 103/147 +[2025-03-25 07:20:16,919 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 104/147 +[2025-03-25 07:20:16,952 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 105/147 +[2025-03-25 07:20:16,989 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 106/147 +[2025-03-25 07:20:17,026 INFO test.py line 201 195048] Test: 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07:20:17,684 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 128/147 +[2025-03-25 07:20:17,714 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 129/147 +[2025-03-25 07:20:17,744 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 130/147 +[2025-03-25 07:20:17,781 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 131/147 +[2025-03-25 07:20:17,811 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 132/147 +[2025-03-25 07:20:17,841 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 133/147 +[2025-03-25 07:20:17,871 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 134/147 +[2025-03-25 07:20:17,902 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 135/147 +[2025-03-25 07:20:17,931 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 136/147 +[2025-03-25 07:20:17,961 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 137/147 +[2025-03-25 07:20:17,989 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 138/147 +[2025-03-25 07:20:18,017 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 139/147 +[2025-03-25 07:20:18,045 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 140/147 +[2025-03-25 07:20:18,076 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 141/147 +[2025-03-25 07:20:18,105 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 142/147 +[2025-03-25 07:20:18,135 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 143/147 +[2025-03-25 07:20:18,164 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 144/147 +[2025-03-25 07:20:18,194 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 145/147 +[2025-03-25 07:20:18,223 INFO test.py line 201 195048] Test: 74/78-scene0697_02, Batch: 146/147 +[2025-03-25 07:20:18,419 INFO test.py line 291 195048] Test: scene0697_02 [74/78]-166855 Batch 4.918 (4.326) Accuracy 0.7634 (0.7590) mIoU 0.2635 (0.6791) +[2025-03-25 07:20:18,456 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 0/130 +[2025-03-25 07:20:18,486 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 1/130 +[2025-03-25 07:20:18,516 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 2/130 +[2025-03-25 07:20:18,547 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 3/130 +[2025-03-25 07:20:18,578 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 4/130 +[2025-03-25 07:20:18,610 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 5/130 +[2025-03-25 07:20:18,641 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 6/130 +[2025-03-25 07:20:18,673 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 7/130 +[2025-03-25 07:20:18,705 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 8/130 +[2025-03-25 07:20:18,739 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 9/130 +[2025-03-25 07:20:18,771 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:19,151 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 21/130 +[2025-03-25 07:20:19,184 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 22/130 +[2025-03-25 07:20:19,224 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 23/130 +[2025-03-25 07:20:19,259 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 24/130 +[2025-03-25 07:20:19,292 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 25/130 +[2025-03-25 07:20:19,325 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 26/130 +[2025-03-25 07:20:19,358 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 27/130 +[2025-03-25 07:20:19,392 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 28/130 +[2025-03-25 07:20:19,426 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 29/130 +[2025-03-25 07:20:19,461 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 30/130 +[2025-03-25 07:20:19,494 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 31/130 +[2025-03-25 07:20:19,527 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 32/130 +[2025-03-25 07:20:19,561 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 33/130 +[2025-03-25 07:20:19,595 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 34/130 +[2025-03-25 07:20:19,628 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 35/130 +[2025-03-25 07:20:19,661 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 36/130 +[2025-03-25 07:20:19,694 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 37/130 +[2025-03-25 07:20:19,727 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 38/130 +[2025-03-25 07:20:19,760 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 39/130 +[2025-03-25 07:20:19,792 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 40/130 +[2025-03-25 07:20:19,824 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:20,170 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 52/130 +[2025-03-25 07:20:20,212 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 53/130 +[2025-03-25 07:20:20,244 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 54/130 +[2025-03-25 07:20:20,276 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 55/130 +[2025-03-25 07:20:20,308 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 56/130 +[2025-03-25 07:20:20,340 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 57/130 +[2025-03-25 07:20:20,372 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 58/130 +[2025-03-25 07:20:20,404 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 59/130 +[2025-03-25 07:20:20,437 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 60/130 +[2025-03-25 07:20:20,469 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 61/130 +[2025-03-25 07:20:20,501 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 62/130 +[2025-03-25 07:20:20,533 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 63/130 +[2025-03-25 07:20:20,565 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 64/130 +[2025-03-25 07:20:20,598 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 65/130 +[2025-03-25 07:20:20,629 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 66/130 +[2025-03-25 07:20:20,662 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 67/130 +[2025-03-25 07:20:20,694 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 68/130 +[2025-03-25 07:20:20,726 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 69/130 +[2025-03-25 07:20:20,759 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 70/130 +[2025-03-25 07:20:20,791 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 71/130 +[2025-03-25 07:20:20,823 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:21,196 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 83/130 +[2025-03-25 07:20:21,230 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 84/130 +[2025-03-25 07:20:21,265 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 85/130 +[2025-03-25 07:20:21,300 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 86/130 +[2025-03-25 07:20:21,334 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 87/130 +[2025-03-25 07:20:21,385 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 88/130 +[2025-03-25 07:20:21,418 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 89/130 +[2025-03-25 07:20:21,452 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 90/130 +[2025-03-25 07:20:21,487 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 91/130 +[2025-03-25 07:20:21,523 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 92/130 +[2025-03-25 07:20:21,559 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 93/130 +[2025-03-25 07:20:21,594 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 94/130 +[2025-03-25 07:20:21,629 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 95/130 +[2025-03-25 07:20:21,664 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 96/130 +[2025-03-25 07:20:21,698 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 97/130 +[2025-03-25 07:20:21,732 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 98/130 +[2025-03-25 07:20:21,766 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 99/130 +[2025-03-25 07:20:21,800 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 100/130 +[2025-03-25 07:20:21,834 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 101/130 +[2025-03-25 07:20:21,867 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 102/130 +[2025-03-25 07:20:21,901 INFO test.py line 201 195048] Test: 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07:20:22,675 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 124/130 +[2025-03-25 07:20:22,713 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 125/130 +[2025-03-25 07:20:22,752 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 126/130 +[2025-03-25 07:20:22,792 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 127/130 +[2025-03-25 07:20:22,839 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 128/130 +[2025-03-25 07:20:22,880 INFO test.py line 201 195048] Test: 75/78-scene0081_01, Batch: 129/130 +[2025-03-25 07:20:23,075 INFO test.py line 291 195048] Test: scene0081_01 [75/78]-179955 Batch 4.655 (4.330) Accuracy 0.9008 (0.7581) mIoU 0.2058 (0.6766) +[2025-03-25 07:20:23,122 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 0/143 +[2025-03-25 07:20:23,154 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 1/143 +[2025-03-25 07:20:23,186 INFO test.py line 201 195048] Test: 76/78-scene0689_00, 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+[2025-03-25 07:20:24,023 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 34/143 +[2025-03-25 07:20:24,048 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 35/143 +[2025-03-25 07:20:24,073 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 36/143 +[2025-03-25 07:20:24,097 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 37/143 +[2025-03-25 07:20:24,122 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 38/143 +[2025-03-25 07:20:24,146 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 39/143 +[2025-03-25 07:20:24,170 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 40/143 +[2025-03-25 07:20:24,195 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 41/143 +[2025-03-25 07:20:24,219 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 42/143 +[2025-03-25 07:20:24,244 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 43/143 +[2025-03-25 07:20:24,268 INFO test.py 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+[2025-03-25 07:20:25,596 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 96/143 +[2025-03-25 07:20:25,625 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 97/143 +[2025-03-25 07:20:25,654 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 98/143 +[2025-03-25 07:20:25,687 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 99/143 +[2025-03-25 07:20:25,722 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 100/143 +[2025-03-25 07:20:25,754 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 101/143 +[2025-03-25 07:20:25,783 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 102/143 +[2025-03-25 07:20:25,812 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 103/143 +[2025-03-25 07:20:25,844 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 104/143 +[2025-03-25 07:20:25,869 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 105/143 +[2025-03-25 07:20:25,897 INFO 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07:20:26,679 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 137/143 +[2025-03-25 07:20:26,703 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 138/143 +[2025-03-25 07:20:26,727 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 139/143 +[2025-03-25 07:20:26,750 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 140/143 +[2025-03-25 07:20:26,773 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 141/143 +[2025-03-25 07:20:26,797 INFO test.py line 201 195048] Test: 76/78-scene0689_00, Batch: 142/143 +[2025-03-25 07:20:26,929 INFO test.py line 291 195048] Test: scene0689_00 [76/78]-122129 Batch 3.853 (4.324) Accuracy 0.8827 (0.7581) mIoU 0.6374 (0.6771) +[2025-03-25 07:20:26,969 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 0/130 +[2025-03-25 07:20:27,002 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 1/130 +[2025-03-25 07:20:27,035 INFO test.py line 201 195048] Test: 77/78-scene0095_01, 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test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 13/130 +[2025-03-25 07:20:27,422 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 14/130 +[2025-03-25 07:20:27,455 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 15/130 +[2025-03-25 07:20:27,486 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 16/130 +[2025-03-25 07:20:27,520 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 17/130 +[2025-03-25 07:20:27,551 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 18/130 +[2025-03-25 07:20:27,583 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 19/130 +[2025-03-25 07:20:27,616 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 20/130 +[2025-03-25 07:20:27,648 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 21/130 +[2025-03-25 07:20:27,679 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 22/130 +[2025-03-25 07:20:27,713 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:28,091 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 34/130 +[2025-03-25 07:20:28,128 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 35/130 +[2025-03-25 07:20:28,162 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 36/130 +[2025-03-25 07:20:28,196 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 37/130 +[2025-03-25 07:20:28,232 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 38/130 +[2025-03-25 07:20:28,267 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 39/130 +[2025-03-25 07:20:28,301 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 40/130 +[2025-03-25 07:20:28,336 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 41/130 +[2025-03-25 07:20:28,370 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 42/130 +[2025-03-25 07:20:28,404 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 43/130 +[2025-03-25 07:20:28,437 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 44/130 +[2025-03-25 07:20:28,472 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 45/130 +[2025-03-25 07:20:28,507 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 46/130 +[2025-03-25 07:20:28,543 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 47/130 +[2025-03-25 07:20:28,578 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 48/130 +[2025-03-25 07:20:28,612 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 49/130 +[2025-03-25 07:20:28,648 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 50/130 +[2025-03-25 07:20:28,682 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 51/130 +[2025-03-25 07:20:28,715 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 52/130 +[2025-03-25 07:20:28,751 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 53/130 +[2025-03-25 07:20:28,785 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:29,168 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 65/130 +[2025-03-25 07:20:29,204 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 66/130 +[2025-03-25 07:20:29,238 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 67/130 +[2025-03-25 07:20:29,271 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 68/130 +[2025-03-25 07:20:29,317 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 69/130 +[2025-03-25 07:20:29,352 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 70/130 +[2025-03-25 07:20:29,387 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 71/130 +[2025-03-25 07:20:29,421 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 72/130 +[2025-03-25 07:20:29,473 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 73/130 +[2025-03-25 07:20:29,508 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 74/130 +[2025-03-25 07:20:29,543 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 75/130 +[2025-03-25 07:20:29,578 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 76/130 +[2025-03-25 07:20:29,613 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 77/130 +[2025-03-25 07:20:29,647 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 78/130 +[2025-03-25 07:20:29,681 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 79/130 +[2025-03-25 07:20:29,715 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 80/130 +[2025-03-25 07:20:29,749 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 81/130 +[2025-03-25 07:20:29,785 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 82/130 +[2025-03-25 07:20:29,819 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 83/130 +[2025-03-25 07:20:29,857 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 84/130 +[2025-03-25 07:20:29,894 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:30,299 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 96/130 +[2025-03-25 07:20:30,336 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 97/130 +[2025-03-25 07:20:30,374 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 98/130 +[2025-03-25 07:20:30,411 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 99/130 +[2025-03-25 07:20:30,448 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 100/130 +[2025-03-25 07:20:30,485 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 101/130 +[2025-03-25 07:20:30,521 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 102/130 +[2025-03-25 07:20:30,558 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 103/130 +[2025-03-25 07:20:30,595 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 104/130 +[2025-03-25 07:20:30,632 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 105/130 +[2025-03-25 07:20:30,668 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 106/130 +[2025-03-25 07:20:30,704 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 107/130 +[2025-03-25 07:20:30,741 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 108/130 +[2025-03-25 07:20:30,779 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 109/130 +[2025-03-25 07:20:30,817 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 110/130 +[2025-03-25 07:20:30,854 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 111/130 +[2025-03-25 07:20:30,890 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 112/130 +[2025-03-25 07:20:30,927 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 113/130 +[2025-03-25 07:20:30,963 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 114/130 +[2025-03-25 07:20:30,998 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 115/130 +[2025-03-25 07:20:31,032 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 116/130 +[2025-03-25 07:20:31,070 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 117/130 +[2025-03-25 07:20:31,104 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 118/130 +[2025-03-25 07:20:31,139 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 119/130 +[2025-03-25 07:20:31,172 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 120/130 +[2025-03-25 07:20:31,205 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 121/130 +[2025-03-25 07:20:31,260 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 122/130 +[2025-03-25 07:20:31,298 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 123/130 +[2025-03-25 07:20:31,331 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 124/130 +[2025-03-25 07:20:31,363 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 125/130 +[2025-03-25 07:20:31,395 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 126/130 +[2025-03-25 07:20:31,429 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 127/130 +[2025-03-25 07:20:31,461 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 128/130 +[2025-03-25 07:20:31,493 INFO test.py line 201 195048] Test: 77/78-scene0095_01, Batch: 129/130 +[2025-03-25 07:20:31,726 INFO test.py line 291 195048] Test: scene0095_01 [77/78]-216254 Batch 4.797 (4.330) Accuracy 0.9267 (0.7589) mIoU 0.5265 (0.6776) +[2025-03-25 07:20:31,757 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 0/147 +[2025-03-25 07:20:31,784 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 1/147 +[2025-03-25 07:20:31,810 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 2/147 +[2025-03-25 07:20:31,835 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 3/147 +[2025-03-25 07:20:31,861 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 4/147 +[2025-03-25 07:20:31,887 INFO test.py line 201 195048] Test: 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+[2025-03-25 07:20:32,168 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 16/147 +[2025-03-25 07:20:32,193 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 17/147 +[2025-03-25 07:20:32,218 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 18/147 +[2025-03-25 07:20:32,243 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 19/147 +[2025-03-25 07:20:32,269 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 20/147 +[2025-03-25 07:20:32,295 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 21/147 +[2025-03-25 07:20:32,320 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 22/147 +[2025-03-25 07:20:32,346 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 23/147 +[2025-03-25 07:20:32,372 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 24/147 +[2025-03-25 07:20:32,398 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 25/147 +[2025-03-25 07:20:32,425 INFO test.py 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201 195048] Test: 78/78-scene0187_01, Batch: 129/147 +[2025-03-25 07:20:35,186 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 130/147 +[2025-03-25 07:20:35,213 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 131/147 +[2025-03-25 07:20:35,240 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 132/147 +[2025-03-25 07:20:35,268 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 133/147 +[2025-03-25 07:20:35,295 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 134/147 +[2025-03-25 07:20:35,322 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 135/147 +[2025-03-25 07:20:35,349 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 136/147 +[2025-03-25 07:20:35,375 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 137/147 +[2025-03-25 07:20:35,402 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 138/147 +[2025-03-25 07:20:35,428 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 139/147 +[2025-03-25 07:20:35,455 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 140/147 +[2025-03-25 07:20:35,481 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 141/147 +[2025-03-25 07:20:35,508 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 142/147 +[2025-03-25 07:20:35,535 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 143/147 +[2025-03-25 07:20:35,562 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 144/147 +[2025-03-25 07:20:35,588 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 145/147 +[2025-03-25 07:20:35,615 INFO test.py line 201 195048] Test: 78/78-scene0187_01, Batch: 146/147 +[2025-03-25 07:20:35,787 INFO test.py line 291 195048] Test: scene0187_01 [78/78]-144163 Batch 4.061 (4.327) Accuracy 0.9371 (0.7586) mIoU 0.3684 (0.6735) +[2025-03-25 07:20:36,557 INFO test.py line 308 195048] Syncing ... +[2025-03-25 07:20:57,581 INFO test.py line 336 195048] Val result: mIoU/mAcc/allAcc 0.6858/0.7756/0.8835 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_0 - wall Result: iou/accuracy 0.8249/0.9392 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_1 - floor Result: iou/accuracy 0.9484/0.9801 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_2 - cabinet Result: iou/accuracy 0.6254/0.7447 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_3 - bed Result: iou/accuracy 0.7750/0.8589 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_4 - chair Result: iou/accuracy 0.8863/0.9448 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_5 - sofa Result: iou/accuracy 0.8163/0.9039 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_6 - table Result: iou/accuracy 0.7045/0.8036 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_7 - door Result: iou/accuracy 0.5963/0.7234 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_8 - window Result: iou/accuracy 0.5607/0.6907 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_9 - bookshelf Result: iou/accuracy 0.7757/0.8880 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_10 - picture Result: iou/accuracy 0.2743/0.3594 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_11 - counter Result: iou/accuracy 0.5630/0.6666 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_12 - desk Result: iou/accuracy 0.5974/0.7501 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_13 - curtain Result: iou/accuracy 0.6878/0.7775 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_14 - refridgerator Result: iou/accuracy 0.5072/0.5548 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_15 - shower curtain Result: iou/accuracy 0.6874/0.7574 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_16 - toilet Result: iou/accuracy 0.8670/0.9337 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_17 - sink Result: iou/accuracy 0.6114/0.7030 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_18 - bathtub Result: iou/accuracy 0.8612/0.9037 +[2025-03-25 07:20:57,582 INFO test.py line 342 195048] Class_19 - otherfurniture Result: iou/accuracy 0.5452/0.6277 +[2025-03-25 07:20:57,582 INFO test.py line 350 195048] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<<