diff --git "a/scannet/semseg-spunet-efficient-la20/train.log" "b/scannet/semseg-spunet-efficient-la20/train.log" new file mode 100644--- /dev/null +++ "b/scannet/semseg-spunet-efficient-la20/train.log" @@ -0,0 +1,22114 @@ +[2025-02-27 03:32:25,366 INFO train.py line 128 1688082] => Loading config ... +[2025-02-27 03:32:25,366 INFO train.py line 130 1688082] Save path: exp/scannet/semseg-spunet-efficient-la20 +[2025-02-27 03:32:25,898 INFO train.py line 131 1688082] Config: +weight = 'exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth' +resume = False +evaluate = True +test_only = False +seed = 17659152 +save_path = 'exp/scannet/semseg-spunet-efficient-la20' +num_worker = 64 +batch_size = 32 +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 = True +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=0.006, weight_decay=0.05) +scheduler = dict( + type='OneCycleLR', + max_lr=0.006, + 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/points20', + 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=100000, 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 = 16 +batch_size_per_gpu = 8 +batch_size_val_per_gpu = 1 +batch_size_test_per_gpu = 1 + +[2025-02-27 03:32:25,898 INFO train.py line 132 1688082] => Building model ... +[2025-02-27 03:32:26,340 INFO train.py line 225 1688082] Num params: 39157844 +[2025-02-27 03:32:26,682 INFO train.py line 134 1688082] => Building writer ... +[2025-02-27 03:32:26,683 INFO train.py line 235 1688082] Tensorboard writer logging dir: exp/scannet/semseg-spunet-efficient-la20 +[2025-02-27 03:32:26,683 INFO train.py line 136 1688082] => Building train dataset & dataloader ... +[2025-02-27 03:32:26,762 INFO defaults.py line 68 1688082] Totally 1201 x 8 samples in train set. +[2025-02-27 03:32:26,762 INFO train.py line 138 1688082] => Building val dataset & dataloader ... +[2025-02-27 03:32:26,763 INFO defaults.py line 68 1688082] Totally 312 x 1 samples in val set. +[2025-02-27 03:32:26,763 INFO train.py line 140 1688082] => Building optimize, scheduler, scaler(amp) ... +[2025-02-27 03:32:26,764 INFO train.py line 144 1688082] => Building hooks ... +[2025-02-27 03:32:26,764 INFO misc.py line 214 1688082] => Loading checkpoint & weight ... +[2025-02-27 03:32:26,764 INFO misc.py line 216 1688082] Loading weight at: exp/scannet/pretrain-gs-v4-spunet-base-m5/model/model_last.pth +[2025-02-27 03:32:27,246 INFO misc.py line 221 1688082] Loading layer weights with keyword: , replace keyword with: +[2025-02-27 03:32:27,251 INFO misc.py line 238 1688082] Missing keys: ['module.backbone.final.weight', 'module.backbone.final.bias'] +[2025-02-27 03:32:27,252 INFO train.py line 151 1688082] >>>>>>>>>>>>>>>> Start Training >>>>>>>>>>>>>>>> +[2025-02-27 03:35:05,578 INFO hook.py line 109 1688082] Train: [1/100][50/300] Data 0.012 (0.007) Batch 0.357 (0.349) Remain 02:54:16 loss: 3.2533 Lr: 6.14811e-04 +[2025-02-27 03:35:21,252 INFO hook.py line 109 1688082] Train: [1/100][100/300] Data 0.005 (0.006) Batch 0.250 (0.331) Remain 02:44:49 loss: 2.4725 Lr: 6.59080e-04 +[2025-02-27 03:35:35,322 INFO hook.py line 109 1688082] Train: [1/100][150/300] Data 0.017 (0.005) Batch 0.399 (0.314) Remain 02:36:11 loss: 2.2442 Lr: 7.32322e-04 +[2025-02-27 03:35:56,455 INFO hook.py line 109 1688082] Train: [1/100][200/300] Data 0.010 (0.006) Batch 0.434 (0.342) Remain 02:49:38 loss: 1.5286 Lr: 8.33734e-04 +[2025-02-27 03:36:12,054 INFO hook.py line 109 1688082] Train: [1/100][250/300] Data 0.003 (0.006) Batch 0.350 (0.336) Remain 02:46:23 loss: 2.1386 Lr: 9.62203e-04 +[2025-02-27 03:36:30,312 INFO hook.py line 109 1688082] Train: [1/100][300/300] Data 0.002 (0.006) Batch 0.202 (0.341) Remain 02:48:34 loss: 1.7869 Lr: 1.11632e-03 +[2025-02-27 03:36:30,313 INFO misc.py line 135 1688082] Train result: loss: 2.4890 +[2025-02-27 03:36:30,386 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:36:48,284 INFO hook.py line 289 1688082] Test: [1/78] Loss 2.0264 +[2025-02-27 03:36:48,773 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.7281 +[2025-02-27 03:36:49,296 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.5207 +[2025-02-27 03:36:49,883 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.9511 +[2025-02-27 03:36:49,943 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.5490 +[2025-02-27 03:36:49,991 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1144 +[2025-02-27 03:36:50,056 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.6353 +[2025-02-27 03:36:50,085 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.7573 +[2025-02-27 03:36:50,126 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2203 +[2025-02-27 03:36:50,168 INFO hook.py line 289 1688082] Test: [10/78] Loss 2.0687 +[2025-02-27 03:36:50,315 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.1628 +[2025-02-27 03:36:50,362 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.9373 +[2025-02-27 03:36:50,421 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.8127 +[2025-02-27 03:36:50,456 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.9532 +[2025-02-27 03:36:50,493 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.8686 +[2025-02-27 03:36:50,536 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3142 +[2025-02-27 03:36:50,583 INFO hook.py line 289 1688082] Test: [17/78] Loss 2.0306 +[2025-02-27 03:36:50,615 INFO hook.py line 289 1688082] Test: [18/78] Loss 2.4059 +[2025-02-27 03:36:50,654 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.8779 +[2025-02-27 03:36:50,687 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1545 +[2025-02-27 03:36:50,720 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.6422 +[2025-02-27 03:36:50,760 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.1170 +[2025-02-27 03:36:50,799 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.6989 +[2025-02-27 03:36:50,860 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.7764 +[2025-02-27 03:36:50,897 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.9786 +[2025-02-27 03:36:50,943 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.7794 +[2025-02-27 03:36:50,989 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.2856 +[2025-02-27 03:36:51,026 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.8142 +[2025-02-27 03:36:51,061 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.7921 +[2025-02-27 03:36:51,112 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.4425 +[2025-02-27 03:36:51,166 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.0029 +[2025-02-27 03:36:51,198 INFO hook.py line 289 1688082] Test: [32/78] Loss 2.0730 +[2025-02-27 03:36:51,249 INFO hook.py line 289 1688082] Test: [33/78] Loss 1.3784 +[2025-02-27 03:36:51,285 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.5438 +[2025-02-27 03:36:51,320 INFO hook.py line 289 1688082] Test: [35/78] Loss 1.4465 +[2025-02-27 03:36:51,356 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.7219 +[2025-02-27 03:36:51,401 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.4502 +[2025-02-27 03:36:51,438 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.8713 +[2025-02-27 03:36:51,505 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.2783 +[2025-02-27 03:36:51,551 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.3291 +[2025-02-27 03:36:51,590 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.5522 +[2025-02-27 03:36:51,616 INFO hook.py line 289 1688082] Test: [42/78] Loss 2.2353 +[2025-02-27 03:36:51,667 INFO hook.py line 289 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1688082] Test: [55/78] Loss 0.3895 +[2025-02-27 03:36:52,124 INFO hook.py line 289 1688082] Test: [56/78] Loss 1.2074 +[2025-02-27 03:36:52,156 INFO hook.py line 289 1688082] Test: [57/78] Loss 2.1978 +[2025-02-27 03:36:52,181 INFO hook.py line 289 1688082] Test: [58/78] Loss 2.2425 +[2025-02-27 03:36:52,217 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2210 +[2025-02-27 03:36:52,248 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.9965 +[2025-02-27 03:36:52,271 INFO hook.py line 289 1688082] Test: [61/78] Loss 2.1528 +[2025-02-27 03:36:52,303 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.8568 +[2025-02-27 03:36:52,336 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.9454 +[2025-02-27 03:36:52,390 INFO hook.py line 289 1688082] Test: [64/78] Loss 2.2278 +[2025-02-27 03:36:52,416 INFO hook.py line 289 1688082] Test: [65/78] Loss 2.5141 +[2025-02-27 03:36:52,454 INFO hook.py line 289 1688082] Test: [66/78] Loss 2.1028 +[2025-02-27 03:36:52,491 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.7594 +[2025-02-27 03:36:52,522 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.7616 +[2025-02-27 03:36:52,551 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.5794 +[2025-02-27 03:36:52,604 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4930 +[2025-02-27 03:36:52,647 INFO hook.py line 289 1688082] Test: [71/78] Loss 2.2793 +[2025-02-27 03:36:52,695 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7232 +[2025-02-27 03:36:52,740 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.3028 +[2025-02-27 03:36:52,779 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1544 +[2025-02-27 03:36:52,825 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.4669 +[2025-02-27 03:36:52,853 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1184 +[2025-02-27 03:36:52,903 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.5978 +[2025-02-27 03:36:52,928 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5410 +[2025-02-27 03:36:54,526 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:36:54,527 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:36:54,527 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] wall : 0.5796 0.6384 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] floor : 0.9156 0.9752 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] cabinet : 0.1951 0.5259 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] bed : 0.2955 0.3837 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] chair : 0.6199 0.9370 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] sofa : 0.0351 0.0368 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] table : 0.3544 0.8791 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] door : 0.2557 0.5803 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] window : 0.2355 0.5374 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] bookshelf : 0.0098 0.0101 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] picture : 0.0000 0.0000 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] counter : 0.0000 0.0000 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] desk : 0.0000 0.0000 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] curtain : 0.0000 0.0000 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] refridgerator : 0.0000 0.0000 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] shower curtain : 0.0000 0.0000 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] toilet : 0.0000 0.0000 +[2025-02-27 03:36:54,527 INFO hook.py line 232 1688082] sink : 0.0000 0.0000 +[2025-02-27 03:36:54,528 INFO hook.py line 232 1688082] bathtub : 0.0000 0.0000 +[2025-02-27 03:36:54,528 INFO hook.py line 232 1688082] otherfurniture : 0.1002 0.1500 +[2025-02-27 03:36:54,528 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:36:54,528 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.1798/0.2827/0.6541. +[2025-02-27 03:36:54,528 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:36:54,546 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.1798 +[2025-02-27 03:36:54,547 INFO misc.py line 164 1688082] Currently Best mIoU: 0.1798 +[2025-02-27 03:36:54,547 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:37:21,561 INFO hook.py line 109 1688082] Train: [2/100][50/300] Data 0.003 (0.007) Batch 0.375 (0.370) Remain 03:02:43 loss: 1.5837 Lr: 1.29439e-03 +[2025-02-27 03:37:39,782 INFO hook.py line 109 1688082] Train: [2/100][100/300] Data 0.004 (0.008) Batch 0.382 (0.367) Remain 03:01:01 loss: 1.2874 Lr: 1.49447e-03 +[2025-02-27 03:37:58,636 INFO hook.py line 109 1688082] Train: [2/100][150/300] Data 0.008 (0.007) Batch 0.380 (0.370) Remain 03:02:26 loss: 1.6835 Lr: 1.71435e-03 +[2025-02-27 03:38:17,295 INFO hook.py line 109 1688082] Train: [2/100][200/300] Data 0.004 (0.007) Batch 0.348 (0.371) Remain 03:02:28 loss: 1.1094 Lr: 1.95163e-03 +[2025-02-27 03:38:35,777 INFO hook.py line 109 1688082] Train: [2/100][250/300] Data 0.004 (0.007) Batch 0.417 (0.371) Remain 03:02:00 loss: 1.7562 Lr: 2.20371e-03 +[2025-02-27 03:38:49,246 INFO hook.py line 109 1688082] Train: [2/100][300/300] Data 0.002 (0.007) Batch 0.219 (0.354) Remain 02:53:20 loss: 1.7774 Lr: 2.46781e-03 +[2025-02-27 03:38:49,248 INFO misc.py line 135 1688082] Train result: loss: 1.5517 +[2025-02-27 03:38:49,338 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:39:07,663 INFO hook.py line 289 1688082] Test: [1/78] Loss 1.3446 +[2025-02-27 03:39:07,706 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0919 +[2025-02-27 03:39:07,767 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.0354 +[2025-02-27 03:39:08,347 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7542 +[2025-02-27 03:39:09,102 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.1533 +[2025-02-27 03:39:09,155 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1639 +[2025-02-27 03:39:09,220 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.2966 +[2025-02-27 03:39:09,247 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6836 +[2025-02-27 03:39:09,287 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4030 +[2025-02-27 03:39:09,325 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.7519 +[2025-02-27 03:39:09,372 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.1769 +[2025-02-27 03:39:09,401 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1716 +[2025-02-27 03:39:09,446 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9310 +[2025-02-27 03:39:09,481 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4635 +[2025-02-27 03:39:09,518 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9671 +[2025-02-27 03:39:09,558 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.7658 +[2025-02-27 03:39:09,592 INFO hook.py line 289 1688082] Test: [17/78] Loss 2.2790 +[2025-02-27 03:39:09,625 INFO hook.py line 289 1688082] Test: [18/78] Loss 2.0119 +[2025-02-27 03:39:09,664 INFO hook.py line 289 1688082] Test: [19/78] Loss 2.7111 +[2025-02-27 03:39:09,709 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4144 +[2025-02-27 03:39:09,743 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.6725 +[2025-02-27 03:39:09,783 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.6245 +[2025-02-27 03:39:09,813 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.3450 +[2025-02-27 03:39:09,854 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.7007 +[2025-02-27 03:39:09,891 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5667 +[2025-02-27 03:39:09,937 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.6872 +[2025-02-27 03:39:09,982 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.6041 +[2025-02-27 03:39:10,012 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.5881 +[2025-02-27 03:39:10,037 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.6858 +[2025-02-27 03:39:10,088 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.1454 +[2025-02-27 03:39:10,143 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.4143 +[2025-02-27 03:39:10,174 INFO hook.py line 289 1688082] Test: [32/78] Loss 2.4935 +[2025-02-27 03:39:10,222 INFO hook.py line 289 1688082] Test: [33/78] Loss 1.1854 +[2025-02-27 03:39:10,256 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3759 +[2025-02-27 03:39:10,293 INFO hook.py line 289 1688082] Test: [35/78] Loss 1.3689 +[2025-02-27 03:39:10,336 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.7671 +[2025-02-27 03:39:10,375 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.2730 +[2025-02-27 03:39:10,402 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.8096 +[2025-02-27 03:39:10,457 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.6592 +[2025-02-27 03:39:10,503 INFO hook.py line 289 1688082] Test: [40/78] Loss 3.7222 +[2025-02-27 03:39:10,542 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3909 +[2025-02-27 03:39:10,572 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4025 +[2025-02-27 03:39:10,610 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.3849 +[2025-02-27 03:39:10,662 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.7884 +[2025-02-27 03:39:10,694 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0428 +[2025-02-27 03:39:10,737 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0906 +[2025-02-27 03:39:10,770 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.9053 +[2025-02-27 03:39:10,800 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.4603 +[2025-02-27 03:39:10,828 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8027 +[2025-02-27 03:39:10,855 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5055 +[2025-02-27 03:39:10,880 INFO hook.py line 289 1688082] Test: [51/78] Loss 2.8191 +[2025-02-27 03:39:10,910 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.6102 +[2025-02-27 03:39:10,932 INFO hook.py line 289 1688082] Test: [53/78] Loss 1.2152 +[2025-02-27 03:39:10,963 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4516 +[2025-02-27 03:39:10,995 INFO hook.py line 289 1688082] Test: [55/78] Loss 1.3914 +[2025-02-27 03:39:11,031 INFO hook.py line 289 1688082] Test: [56/78] Loss 1.2670 +[2025-02-27 03:39:11,060 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0741 +[2025-02-27 03:39:11,083 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3778 +[2025-02-27 03:39:11,118 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.4562 +[2025-02-27 03:39:11,146 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.5925 +[2025-02-27 03:39:11,167 INFO hook.py line 289 1688082] Test: [61/78] Loss 2.3483 +[2025-02-27 03:39:11,196 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.6593 +[2025-02-27 03:39:11,228 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.8585 +[2025-02-27 03:39:11,279 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7738 +[2025-02-27 03:39:11,303 INFO hook.py line 289 1688082] Test: [65/78] Loss 2.4796 +[2025-02-27 03:39:11,339 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0184 +[2025-02-27 03:39:11,374 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.6663 +[2025-02-27 03:39:11,402 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1303 +[2025-02-27 03:39:11,429 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4562 +[2025-02-27 03:39:11,478 INFO hook.py line 289 1688082] Test: [70/78] Loss 2.3639 +[2025-02-27 03:39:11,516 INFO hook.py line 289 1688082] Test: [71/78] Loss 2.1719 +[2025-02-27 03:39:11,562 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6456 +[2025-02-27 03:39:11,606 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.5242 +[2025-02-27 03:39:11,642 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3760 +[2025-02-27 03:39:11,685 INFO hook.py line 289 1688082] Test: [75/78] Loss 1.1612 +[2025-02-27 03:39:11,711 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.9692 +[2025-02-27 03:39:11,760 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.2473 +[2025-02-27 03:39:11,783 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.9319 +[2025-02-27 03:39:12,927 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:39:12,928 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:39:12,928 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] wall : 0.6015 0.6699 +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] floor : 0.9231 0.9789 +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] cabinet : 0.2432 0.5900 +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] bed : 0.3406 0.8145 +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] chair : 0.6920 0.7173 +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] sofa : 0.5592 0.9213 +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] table : 0.4839 0.6284 +[2025-02-27 03:39:12,928 INFO hook.py line 232 1688082] door : 0.3143 0.5735 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] window : 0.3766 0.5233 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] bookshelf : 0.4078 0.4764 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] picture : 0.0000 0.0000 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] counter : 0.3029 0.4237 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] desk : 0.2255 0.3713 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] curtain : 0.2213 0.2409 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] refridgerator : 0.0000 0.0000 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] shower curtain : 0.3896 0.4657 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] toilet : 0.7128 0.8372 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] sink : 0.1760 0.1863 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] bathtub : 0.6083 0.7097 +[2025-02-27 03:39:12,929 INFO hook.py line 232 1688082] otherfurniture : 0.2278 0.4437 +[2025-02-27 03:39:12,929 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:39:12,930 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.3903/0.5286/0.7156. +[2025-02-27 03:39:12,930 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:39:12,945 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.3903 +[2025-02-27 03:39:12,946 INFO misc.py line 164 1688082] Currently Best mIoU: 0.3903 +[2025-02-27 03:39:12,946 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:39:35,522 INFO hook.py line 109 1688082] Train: [3/100][50/300] Data 0.004 (0.005) Batch 0.393 (0.333) Remain 02:42:51 loss: 1.6956 Lr: 2.74104e-03 +[2025-02-27 03:39:55,638 INFO hook.py line 109 1688082] Train: [3/100][100/300] Data 0.007 (0.007) Batch 0.412 (0.369) Remain 03:00:02 loss: 1.2224 Lr: 3.02040e-03 +[2025-02-27 03:40:13,397 INFO hook.py line 109 1688082] Train: [3/100][150/300] Data 0.014 (0.007) Batch 0.555 (0.364) Remain 02:57:29 loss: 2.1397 Lr: 3.30283e-03 +[2025-02-27 03:40:34,482 INFO hook.py line 109 1688082] Train: [3/100][200/300] Data 0.012 (0.007) Batch 0.364 (0.379) Remain 03:04:18 loss: 1.3522 Lr: 3.58523e-03 +[2025-02-27 03:40:53,154 INFO hook.py line 109 1688082] Train: [3/100][250/300] Data 0.004 (0.007) Batch 0.376 (0.378) Remain 03:03:27 loss: 1.3976 Lr: 3.86450e-03 +[2025-02-27 03:41:06,636 INFO hook.py line 109 1688082] Train: [3/100][300/300] Data 0.002 (0.007) Batch 0.197 (0.359) Remain 02:54:20 loss: 1.4603 Lr: 4.13757e-03 +[2025-02-27 03:41:06,636 INFO misc.py line 135 1688082] Train result: loss: 1.4792 +[2025-02-27 03:41:06,742 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:41:25,841 INFO hook.py line 289 1688082] Test: [1/78] Loss 1.1239 +[2025-02-27 03:41:26,143 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.3202 +[2025-02-27 03:41:26,185 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.3127 +[2025-02-27 03:41:26,234 INFO hook.py line 289 1688082] Test: [4/78] Loss 1.0664 +[2025-02-27 03:41:26,678 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.2404 +[2025-02-27 03:41:26,726 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7826 +[2025-02-27 03:41:26,772 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.4706 +[2025-02-27 03:41:26,811 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.8887 +[2025-02-27 03:41:26,855 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1789 +[2025-02-27 03:41:26,893 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5300 +[2025-02-27 03:41:26,935 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7998 +[2025-02-27 03:41:26,972 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1223 +[2025-02-27 03:41:27,019 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0600 +[2025-02-27 03:41:27,058 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.8782 +[2025-02-27 03:41:27,094 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.7663 +[2025-02-27 03:41:27,140 INFO hook.py line 289 1688082] Test: [16/78] Loss 2.6503 +[2025-02-27 03:41:27,177 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.9381 +[2025-02-27 03:41:27,209 INFO hook.py line 289 1688082] Test: [18/78] Loss 3.3287 +[2025-02-27 03:41:27,260 INFO hook.py line 289 1688082] Test: [19/78] Loss 2.2259 +[2025-02-27 03:41:27,291 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9903 +[2025-02-27 03:41:27,326 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5605 +[2025-02-27 03:41:27,363 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7759 +[2025-02-27 03:41:27,391 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.8069 +[2025-02-27 03:41:27,435 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.6051 +[2025-02-27 03:41:27,473 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.7362 +[2025-02-27 03:41:27,511 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.2883 +[2025-02-27 03:41:27,558 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8832 +[2025-02-27 03:41:27,590 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.9494 +[2025-02-27 03:41:27,618 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.7753 +[2025-02-27 03:41:27,669 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.0712 +[2025-02-27 03:41:27,725 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6772 +[2025-02-27 03:41:27,759 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.2682 +[2025-02-27 03:41:27,810 INFO hook.py line 289 1688082] Test: [33/78] Loss 1.0413 +[2025-02-27 03:41:27,854 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.7680 +[2025-02-27 03:41:27,894 INFO hook.py line 289 1688082] Test: [35/78] Loss 1.0640 +[2025-02-27 03:41:27,932 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.8797 +[2025-02-27 03:41:27,969 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.9754 +[2025-02-27 03:41:27,999 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.7716 +[2025-02-27 03:41:28,055 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.3003 +[2025-02-27 03:41:28,096 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7581 +[2025-02-27 03:41:28,135 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.6496 +[2025-02-27 03:41:28,161 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4875 +[2025-02-27 03:41:28,196 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.1012 +[2025-02-27 03:41:28,249 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.2257 +[2025-02-27 03:41:28,286 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.3406 +[2025-02-27 03:41:28,332 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.3479 +[2025-02-27 03:41:28,368 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1691 +[2025-02-27 03:41:28,399 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.7216 +[2025-02-27 03:41:28,430 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.5722 +[2025-02-27 03:41:28,461 INFO hook.py line 289 1688082] Test: [50/78] Loss 2.0699 +[2025-02-27 03:41:28,490 INFO hook.py line 289 1688082] Test: [51/78] Loss 2.7752 +[2025-02-27 03:41:28,522 INFO hook.py line 289 1688082] Test: [52/78] Loss 2.1370 +[2025-02-27 03:41:28,548 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.8292 +[2025-02-27 03:41:28,582 INFO hook.py line 289 1688082] Test: [54/78] Loss 3.2667 +[2025-02-27 03:41:28,617 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2980 +[2025-02-27 03:41:28,657 INFO hook.py line 289 1688082] Test: [56/78] Loss 1.1433 +[2025-02-27 03:41:28,688 INFO hook.py line 289 1688082] Test: [57/78] Loss 2.5120 +[2025-02-27 03:41:28,725 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.4693 +[2025-02-27 03:41:28,761 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1128 +[2025-02-27 03:41:28,793 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.7729 +[2025-02-27 03:41:28,818 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.4351 +[2025-02-27 03:41:28,850 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.5885 +[2025-02-27 03:41:28,884 INFO hook.py line 289 1688082] Test: [63/78] Loss 2.0797 +[2025-02-27 03:41:28,938 INFO hook.py line 289 1688082] Test: [64/78] Loss 2.1617 +[2025-02-27 03:41:28,965 INFO hook.py line 289 1688082] Test: [65/78] Loss 3.2492 +[2025-02-27 03:41:29,003 INFO hook.py line 289 1688082] Test: [66/78] Loss 2.6514 +[2025-02-27 03:41:29,040 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.5001 +[2025-02-27 03:41:29,072 INFO hook.py line 289 1688082] Test: [68/78] Loss 2.0892 +[2025-02-27 03:41:29,100 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.7669 +[2025-02-27 03:41:29,152 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3597 +[2025-02-27 03:41:29,194 INFO hook.py line 289 1688082] Test: [71/78] Loss 2.0397 +[2025-02-27 03:41:29,242 INFO hook.py line 289 1688082] Test: [72/78] Loss 1.0528 +[2025-02-27 03:41:29,288 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.2335 +[2025-02-27 03:41:29,327 INFO hook.py line 289 1688082] Test: [74/78] Loss 3.3575 +[2025-02-27 03:41:29,373 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5918 +[2025-02-27 03:41:29,402 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.7509 +[2025-02-27 03:41:29,454 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.0694 +[2025-02-27 03:41:29,479 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6878 +[2025-02-27 03:41:31,250 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:41:31,256 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:41:31,257 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] wall : 0.5980 0.6664 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] floor : 0.9326 0.9756 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] cabinet : 0.3039 0.4959 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] bed : 0.4093 0.4168 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] chair : 0.6398 0.9224 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] sofa : 0.5831 0.6803 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] table : 0.4829 0.7252 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] door : 0.2774 0.5002 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] window : 0.2868 0.5515 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] bookshelf : 0.6339 0.7373 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] picture : 0.1090 0.4362 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] counter : 0.3352 0.5842 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] desk : 0.1580 0.2950 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] curtain : 0.0323 0.0334 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] refridgerator : 0.1056 0.1420 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] shower curtain : 0.3463 0.6421 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] toilet : 0.5412 0.8548 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] sink : 0.3262 0.7053 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] bathtub : 0.5780 0.6497 +[2025-02-27 03:41:31,257 INFO hook.py line 232 1688082] otherfurniture : 0.2772 0.4448 +[2025-02-27 03:41:31,257 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:41:31,257 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.3978/0.5730/0.7219. +[2025-02-27 03:41:31,258 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:41:31,283 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.3978 +[2025-02-27 03:41:31,284 INFO misc.py line 164 1688082] Currently Best mIoU: 0.3978 +[2025-02-27 03:41:31,284 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:41:57,565 INFO hook.py line 109 1688082] Train: [4/100][50/300] Data 0.008 (0.007) Batch 0.497 (0.365) Remain 02:56:54 loss: 1.4669 Lr: 4.40146e-03 +[2025-02-27 03:42:15,814 INFO hook.py line 109 1688082] Train: [4/100][100/300] Data 0.007 (0.007) Batch 0.375 (0.365) Remain 02:56:30 loss: 1.3205 Lr: 4.65327e-03 +[2025-02-27 03:42:34,930 INFO hook.py line 109 1688082] Train: [4/100][150/300] Data 0.007 (0.008) Batch 0.401 (0.371) Remain 02:59:01 loss: 1.5080 Lr: 4.89022e-03 +[2025-02-27 03:42:53,695 INFO hook.py line 109 1688082] Train: [4/100][200/300] Data 0.004 (0.007) Batch 0.407 (0.372) Remain 02:59:14 loss: 1.2212 Lr: 5.10973e-03 +[2025-02-27 03:43:10,960 INFO hook.py line 109 1688082] Train: [4/100][250/300] Data 0.003 (0.007) Batch 0.255 (0.367) Remain 02:56:18 loss: 1.1438 Lr: 5.30939e-03 +[2025-02-27 03:43:21,793 INFO hook.py line 109 1688082] Train: [4/100][300/300] Data 0.001 (0.006) Batch 0.190 (0.341) Remain 02:43:53 loss: 1.4810 Lr: 5.48700e-03 +[2025-02-27 03:43:21,793 INFO misc.py line 135 1688082] Train result: loss: 1.4217 +[2025-02-27 03:43:21,893 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:43:42,187 INFO hook.py line 289 1688082] Test: [1/78] Loss 1.4958 +[2025-02-27 03:43:42,234 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.5704 +[2025-02-27 03:43:42,274 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.6111 +[2025-02-27 03:43:42,328 INFO hook.py line 289 1688082] Test: [4/78] Loss 1.0255 +[2025-02-27 03:43:42,374 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.6664 +[2025-02-27 03:43:42,428 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.2980 +[2025-02-27 03:43:42,475 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.6104 +[2025-02-27 03:43:42,515 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.8811 +[2025-02-27 03:43:42,560 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3538 +[2025-02-27 03:43:42,602 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.6918 +[2025-02-27 03:43:42,644 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9646 +[2025-02-27 03:43:42,685 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.7523 +[2025-02-27 03:43:42,738 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.7029 +[2025-02-27 03:43:42,780 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.7766 +[2025-02-27 03:43:42,815 INFO hook.py line 289 1688082] Test: [15/78] Loss 3.0732 +[2025-02-27 03:43:42,866 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.6125 +[2025-02-27 03:43:42,903 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.8541 +[2025-02-27 03:43:42,933 INFO hook.py line 289 1688082] Test: [18/78] Loss 3.0804 +[2025-02-27 03:43:42,974 INFO hook.py line 289 1688082] Test: [19/78] Loss 2.7973 +[2025-02-27 03:43:43,010 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8308 +[2025-02-27 03:43:43,042 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.7985 +[2025-02-27 03:43:43,086 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.4920 +[2025-02-27 03:43:43,114 INFO hook.py line 289 1688082] Test: [23/78] Loss 2.2815 +[2025-02-27 03:43:43,153 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.8281 +[2025-02-27 03:43:43,194 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.7228 +[2025-02-27 03:43:43,231 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.7039 +[2025-02-27 03:43:43,284 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.6171 +[2025-02-27 03:43:43,319 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0404 +[2025-02-27 03:43:43,345 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.9384 +[2025-02-27 03:43:43,398 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.4277 +[2025-02-27 03:43:43,457 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9682 +[2025-02-27 03:43:43,499 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.1998 +[2025-02-27 03:43:43,549 INFO hook.py line 289 1688082] Test: [33/78] Loss 1.3929 +[2025-02-27 03:43:43,584 INFO hook.py line 289 1688082] Test: [34/78] Loss 2.1810 +[2025-02-27 03:43:43,621 INFO hook.py line 289 1688082] Test: [35/78] Loss 1.3905 +[2025-02-27 03:43:43,655 INFO hook.py line 289 1688082] Test: [36/78] Loss 2.0695 +[2025-02-27 03:43:43,691 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.4208 +[2025-02-27 03:43:43,719 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.9306 +[2025-02-27 03:43:43,774 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.4783 +[2025-02-27 03:43:43,816 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.9799 +[2025-02-27 03:43:43,855 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.9021 +[2025-02-27 03:43:43,881 INFO hook.py line 289 1688082] Test: [42/78] Loss 1.3548 +[2025-02-27 03:43:43,915 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.7625 +[2025-02-27 03:43:43,966 INFO hook.py line 289 1688082] Test: [44/78] Loss 2.0200 +[2025-02-27 03:43:43,998 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1901 +[2025-02-27 03:43:44,041 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.5828 +[2025-02-27 03:43:44,080 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.5209 +[2025-02-27 03:43:44,109 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.5780 +[2025-02-27 03:43:44,137 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0147 +[2025-02-27 03:43:44,165 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.9266 +[2025-02-27 03:43:44,190 INFO hook.py line 289 1688082] Test: [51/78] Loss 2.6486 +[2025-02-27 03:43:44,219 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.8553 +[2025-02-27 03:43:44,242 INFO hook.py line 289 1688082] Test: [53/78] Loss 1.3172 +[2025-02-27 03:43:44,273 INFO hook.py line 289 1688082] Test: [54/78] Loss 4.6244 +[2025-02-27 03:43:44,306 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.5010 +[2025-02-27 03:43:44,342 INFO hook.py line 289 1688082] Test: [56/78] Loss 1.2840 +[2025-02-27 03:43:44,370 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.9926 +[2025-02-27 03:43:44,393 INFO hook.py line 289 1688082] Test: [58/78] Loss 2.0147 +[2025-02-27 03:43:44,428 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.6582 +[2025-02-27 03:43:44,457 INFO hook.py line 289 1688082] Test: [60/78] Loss 2.2565 +[2025-02-27 03:43:44,478 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0509 +[2025-02-27 03:43:44,508 INFO hook.py line 289 1688082] Test: [62/78] Loss 2.0567 +[2025-02-27 03:43:44,540 INFO hook.py line 289 1688082] Test: [63/78] Loss 2.7436 +[2025-02-27 03:43:44,592 INFO hook.py line 289 1688082] Test: [64/78] Loss 2.5657 +[2025-02-27 03:43:44,616 INFO hook.py line 289 1688082] Test: [65/78] Loss 3.0872 +[2025-02-27 03:43:44,652 INFO hook.py line 289 1688082] Test: [66/78] Loss 2.1521 +[2025-02-27 03:43:44,687 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.5595 +[2025-02-27 03:43:44,716 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.8436 +[2025-02-27 03:43:44,743 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.6842 +[2025-02-27 03:43:44,792 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5643 +[2025-02-27 03:43:44,831 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.8986 +[2025-02-27 03:43:44,878 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7585 +[2025-02-27 03:43:44,922 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.6524 +[2025-02-27 03:43:44,958 INFO hook.py line 289 1688082] Test: [74/78] Loss 4.7392 +[2025-02-27 03:43:45,002 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5868 +[2025-02-27 03:43:45,028 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.9791 +[2025-02-27 03:43:45,078 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.2802 +[2025-02-27 03:43:45,102 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8310 +[2025-02-27 03:43:46,289 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:43:46,289 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:43:46,289 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:43:46,290 INFO hook.py line 232 1688082] wall : 0.4435 0.4614 +[2025-02-27 03:43:46,290 INFO hook.py line 232 1688082] floor : 0.8946 0.9778 +[2025-02-27 03:43:46,290 INFO hook.py line 232 1688082] cabinet : 0.2685 0.6208 +[2025-02-27 03:43:46,290 INFO hook.py line 232 1688082] bed : 0.1956 0.2289 +[2025-02-27 03:43:46,290 INFO hook.py line 232 1688082] chair : 0.7019 0.8884 +[2025-02-27 03:43:46,290 INFO hook.py line 232 1688082] sofa : 0.3532 0.3776 +[2025-02-27 03:43:46,290 INFO hook.py line 232 1688082] table : 0.4372 0.7139 +[2025-02-27 03:43:46,291 INFO hook.py line 232 1688082] door : 0.2329 0.7060 +[2025-02-27 03:43:46,291 INFO hook.py line 232 1688082] window : 0.2353 0.4924 +[2025-02-27 03:43:46,291 INFO hook.py line 232 1688082] bookshelf : 0.4464 0.9150 +[2025-02-27 03:43:46,291 INFO hook.py line 232 1688082] picture : 0.0230 0.0273 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] counter : 0.3489 0.5732 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] desk : 0.1817 0.3028 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] curtain : 0.1250 0.1470 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] refridgerator : 0.1123 0.2885 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] shower curtain : 0.2377 0.6799 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] toilet : 0.6316 0.8236 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] sink : 0.4489 0.5837 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] bathtub : 0.5952 0.7399 +[2025-02-27 03:43:46,292 INFO hook.py line 232 1688082] otherfurniture : 0.1940 0.2393 +[2025-02-27 03:43:46,293 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:43:46,293 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.3554/0.5394/0.6543. +[2025-02-27 03:43:46,294 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:43:46,308 INFO misc.py line 164 1688082] Currently Best mIoU: 0.3978 +[2025-02-27 03:43:46,308 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:44:06,983 INFO hook.py line 109 1688082] Train: [5/100][50/300] Data 0.002 (0.011) Batch 0.405 (0.311) Remain 02:29:12 loss: 1.5998 Lr: 5.64062e-03 +[2025-02-27 03:44:21,450 INFO hook.py line 109 1688082] Train: [5/100][100/300] Data 0.002 (0.007) Batch 0.238 (0.300) Remain 02:23:30 loss: 1.1419 Lr: 5.76856e-03 +[2025-02-27 03:44:44,324 INFO hook.py line 109 1688082] Train: [5/100][150/300] Data 0.018 (0.008) Batch 0.418 (0.354) Remain 02:48:50 loss: 1.9768 Lr: 5.86942e-03 +[2025-02-27 03:45:02,468 INFO hook.py line 109 1688082] Train: [5/100][200/300] Data 0.012 (0.008) Batch 0.366 (0.356) Remain 02:49:39 loss: 1.1832 Lr: 5.94209e-03 +[2025-02-27 03:45:20,830 INFO hook.py line 109 1688082] Train: [5/100][250/300] Data 0.007 (0.008) Batch 0.315 (0.358) Remain 02:50:27 loss: 1.2274 Lr: 5.98578e-03 +[2025-02-27 03:45:34,389 INFO hook.py line 109 1688082] Train: [5/100][300/300] Data 0.001 (0.007) Batch 0.196 (0.344) Remain 02:43:11 loss: 1.3831 Lr: 6.00000e-03 +[2025-02-27 03:45:34,389 INFO misc.py line 135 1688082] Train result: loss: 1.3604 +[2025-02-27 03:45:34,487 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:45:53,139 INFO hook.py line 289 1688082] Test: [1/78] Loss 1.0481 +[2025-02-27 03:45:53,740 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1998 +[2025-02-27 03:45:53,788 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.0214 +[2025-02-27 03:45:53,843 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7774 +[2025-02-27 03:45:53,885 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9276 +[2025-02-27 03:45:53,949 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1974 +[2025-02-27 03:45:54,005 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.3966 +[2025-02-27 03:45:54,048 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6377 +[2025-02-27 03:45:54,089 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3696 +[2025-02-27 03:45:54,138 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.2156 +[2025-02-27 03:45:54,197 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9087 +[2025-02-27 03:45:54,247 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0830 +[2025-02-27 03:45:54,824 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2001 +[2025-02-27 03:45:54,873 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0649 +[2025-02-27 03:45:54,918 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.5434 +[2025-02-27 03:45:54,963 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.5593 +[2025-02-27 03:45:55,001 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.4465 +[2025-02-27 03:45:55,051 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5133 +[2025-02-27 03:45:55,100 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3072 +[2025-02-27 03:45:55,136 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0446 +[2025-02-27 03:45:55,174 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5462 +[2025-02-27 03:45:55,212 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.3591 +[2025-02-27 03:45:55,240 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2517 +[2025-02-27 03:45:55,290 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.4629 +[2025-02-27 03:45:55,334 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3215 +[2025-02-27 03:45:55,372 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0475 +[2025-02-27 03:45:55,420 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.1548 +[2025-02-27 03:45:55,463 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0259 +[2025-02-27 03:45:55,494 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.7742 +[2025-02-27 03:45:55,547 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8494 +[2025-02-27 03:45:55,602 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9655 +[2025-02-27 03:45:55,633 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.3125 +[2025-02-27 03:45:55,683 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.7984 +[2025-02-27 03:45:55,719 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3004 +[2025-02-27 03:45:55,766 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.9546 +[2025-02-27 03:45:55,812 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5629 +[2025-02-27 03:45:55,847 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8391 +[2025-02-27 03:45:55,875 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.9193 +[2025-02-27 03:45:55,932 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.4840 +[2025-02-27 03:45:55,974 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9802 +[2025-02-27 03:45:56,026 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2723 +[2025-02-27 03:45:56,062 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.7550 +[2025-02-27 03:45:56,096 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.0520 +[2025-02-27 03:45:56,158 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.0739 +[2025-02-27 03:45:56,189 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.3501 +[2025-02-27 03:45:56,238 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.3990 +[2025-02-27 03:45:56,275 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.6151 +[2025-02-27 03:45:56,308 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.6278 +[2025-02-27 03:45:56,339 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.2382 +[2025-02-27 03:45:56,370 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.6362 +[2025-02-27 03:45:56,399 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4735 +[2025-02-27 03:45:56,430 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.6847 +[2025-02-27 03:45:56,457 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5983 +[2025-02-27 03:45:56,491 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5209 +[2025-02-27 03:45:56,525 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.6501 +[2025-02-27 03:45:56,564 INFO hook.py line 289 1688082] Test: [56/78] Loss 1.0719 +[2025-02-27 03:45:56,595 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.3429 +[2025-02-27 03:45:56,621 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.7836 +[2025-02-27 03:45:56,658 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.4837 +[2025-02-27 03:45:56,690 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.3555 +[2025-02-27 03:45:56,714 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.5634 +[2025-02-27 03:45:56,746 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.3807 +[2025-02-27 03:45:56,781 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.9432 +[2025-02-27 03:45:56,834 INFO hook.py line 289 1688082] Test: [64/78] Loss 2.2152 +[2025-02-27 03:45:56,862 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.8108 +[2025-02-27 03:45:56,900 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.4839 +[2025-02-27 03:45:56,936 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.3359 +[2025-02-27 03:45:56,970 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3161 +[2025-02-27 03:45:57,000 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4558 +[2025-02-27 03:45:57,051 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5423 +[2025-02-27 03:45:57,093 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6267 +[2025-02-27 03:45:57,151 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7557 +[2025-02-27 03:45:57,198 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9495 +[2025-02-27 03:45:57,238 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.5127 +[2025-02-27 03:45:57,284 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8785 +[2025-02-27 03:45:57,312 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3606 +[2025-02-27 03:45:57,366 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7908 +[2025-02-27 03:45:57,392 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.9876 +[2025-02-27 03:45:58,973 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:45:58,974 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:45:58,974 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] wall : 0.6632 0.7554 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] floor : 0.9323 0.9607 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] cabinet : 0.3816 0.6032 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] bed : 0.4808 0.7101 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] chair : 0.6526 0.7300 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] sofa : 0.5005 0.6456 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] table : 0.4752 0.8467 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] door : 0.3025 0.5259 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] window : 0.2854 0.5387 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] bookshelf : 0.6229 0.7509 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] picture : 0.1540 0.3002 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] counter : 0.3795 0.6591 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] desk : 0.1876 0.2587 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] curtain : 0.3202 0.3585 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] refridgerator : 0.1675 0.4048 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] shower curtain : 0.2359 0.6721 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] toilet : 0.6236 0.8270 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] sink : 0.3640 0.4177 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] bathtub : 0.5647 0.6227 +[2025-02-27 03:45:58,975 INFO hook.py line 232 1688082] otherfurniture : 0.2862 0.3814 +[2025-02-27 03:45:58,975 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:45:58,975 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4290/0.5985/0.7483. +[2025-02-27 03:45:58,976 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:45:58,992 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.4290 +[2025-02-27 03:45:58,993 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4290 +[2025-02-27 03:45:58,993 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:46:25,520 INFO hook.py line 109 1688082] Train: [6/100][50/300] Data 0.018 (0.008) Batch 0.444 (0.370) Remain 02:55:31 loss: 1.6583 Lr: 5.99995e-03 +[2025-02-27 03:46:43,512 INFO hook.py line 109 1688082] Train: [6/100][100/300] Data 0.012 (0.008) Batch 0.320 (0.365) Remain 02:52:40 loss: 1.0479 Lr: 5.99981e-03 +[2025-02-27 03:47:02,788 INFO hook.py line 109 1688082] Train: [6/100][150/300] Data 0.008 (0.009) Batch 0.314 (0.372) Remain 02:55:42 loss: 0.8684 Lr: 5.99958e-03 +[2025-02-27 03:47:21,295 INFO hook.py line 109 1688082] Train: [6/100][200/300] Data 0.009 (0.008) Batch 0.456 (0.371) Remain 02:55:10 loss: 0.8286 Lr: 5.99926e-03 +[2025-02-27 03:47:35,874 INFO hook.py line 109 1688082] Train: [6/100][250/300] Data 0.008 (0.008) Batch 0.258 (0.355) Remain 02:47:16 loss: 1.5678 Lr: 5.99885e-03 +[2025-02-27 03:47:47,434 INFO hook.py line 109 1688082] Train: [6/100][300/300] Data 0.002 (0.007) Batch 0.235 (0.334) Remain 02:37:09 loss: 1.3346 Lr: 5.99835e-03 +[2025-02-27 03:47:47,435 INFO misc.py line 135 1688082] Train result: loss: 1.2735 +[2025-02-27 03:47:47,587 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:48:19,823 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.7578 +[2025-02-27 03:48:19,943 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2983 +[2025-02-27 03:48:19,990 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.0848 +[2025-02-27 03:48:20,045 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7294 +[2025-02-27 03:48:20,087 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9311 +[2025-02-27 03:48:20,144 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0956 +[2025-02-27 03:48:20,197 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1873 +[2025-02-27 03:48:20,247 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5536 +[2025-02-27 03:48:20,297 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1103 +[2025-02-27 03:48:27,964 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.2604 +[2025-02-27 03:48:28,872 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.0297 +[2025-02-27 03:48:28,909 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1126 +[2025-02-27 03:48:28,966 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.7521 +[2025-02-27 03:48:29,006 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0660 +[2025-02-27 03:48:29,050 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.6628 +[2025-02-27 03:48:29,094 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.0880 +[2025-02-27 03:48:29,136 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.1879 +[2025-02-27 03:48:29,168 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5123 +[2025-02-27 03:48:29,211 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6955 +[2025-02-27 03:48:29,253 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1638 +[2025-02-27 03:48:29,297 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4553 +[2025-02-27 03:48:29,336 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8068 +[2025-02-27 03:48:29,373 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.5781 +[2025-02-27 03:48:29,430 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3280 +[2025-02-27 03:48:29,478 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2817 +[2025-02-27 03:48:29,518 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.2137 +[2025-02-27 03:48:29,567 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8550 +[2025-02-27 03:48:29,600 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0237 +[2025-02-27 03:48:29,630 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5366 +[2025-02-27 03:48:29,685 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.2014 +[2025-02-27 03:48:29,740 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7601 +[2025-02-27 03:48:29,775 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0146 +[2025-02-27 03:48:29,825 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.9004 +[2025-02-27 03:48:29,869 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.7367 +[2025-02-27 03:48:29,912 INFO hook.py line 289 1688082] Test: [35/78] Loss 1.0215 +[2025-02-27 03:48:29,956 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6925 +[2025-02-27 03:48:29,992 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.1128 +[2025-02-27 03:48:30,024 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.9097 +[2025-02-27 03:48:30,092 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0994 +[2025-02-27 03:48:30,136 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7725 +[2025-02-27 03:48:30,180 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1564 +[2025-02-27 03:48:30,208 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.6891 +[2025-02-27 03:48:30,246 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8929 +[2025-02-27 03:48:30,304 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9641 +[2025-02-27 03:48:30,346 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1433 +[2025-02-27 03:48:30,401 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9179 +[2025-02-27 03:48:30,448 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0488 +[2025-02-27 03:48:30,480 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.3216 +[2025-02-27 03:48:30,512 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.4905 +[2025-02-27 03:48:30,545 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5010 +[2025-02-27 03:48:30,573 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.8185 +[2025-02-27 03:48:30,606 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.6891 +[2025-02-27 03:48:30,631 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.9124 +[2025-02-27 03:48:30,665 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3593 +[2025-02-27 03:48:30,701 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2799 +[2025-02-27 03:48:30,740 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.8212 +[2025-02-27 03:48:30,773 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.6703 +[2025-02-27 03:48:30,800 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1586 +[2025-02-27 03:48:30,837 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1908 +[2025-02-27 03:48:30,875 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1164 +[2025-02-27 03:48:30,900 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9888 +[2025-02-27 03:48:30,933 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.4256 +[2025-02-27 03:48:30,968 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.7545 +[2025-02-27 03:48:31,025 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7010 +[2025-02-27 03:48:31,053 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.9608 +[2025-02-27 03:48:31,094 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.2304 +[2025-02-27 03:48:31,131 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.2644 +[2025-02-27 03:48:31,164 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5575 +[2025-02-27 03:48:31,197 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4289 +[2025-02-27 03:48:31,249 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1659 +[2025-02-27 03:48:31,290 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4542 +[2025-02-27 03:48:31,339 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6241 +[2025-02-27 03:48:31,387 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9791 +[2025-02-27 03:48:31,426 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2917 +[2025-02-27 03:48:31,472 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6827 +[2025-02-27 03:48:31,499 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4884 +[2025-02-27 03:48:31,551 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6877 +[2025-02-27 03:48:31,577 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5429 +[2025-02-27 03:48:33,073 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:48:33,073 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:48:33,073 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] wall : 0.6843 0.8340 +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] floor : 0.9367 0.9798 +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] cabinet : 0.3506 0.5963 +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] bed : 0.5981 0.7310 +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] chair : 0.7303 0.8096 +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] sofa : 0.6338 0.7771 +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] table : 0.4894 0.7959 +[2025-02-27 03:48:33,074 INFO hook.py line 232 1688082] door : 0.2636 0.3266 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] window : 0.3232 0.4139 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] bookshelf : 0.6204 0.8182 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] picture : 0.1439 0.3885 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] counter : 0.3078 0.8055 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] desk : 0.2135 0.3870 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] curtain : 0.4151 0.4558 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] refridgerator : 0.1696 0.2611 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] shower curtain : 0.1955 0.2046 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] toilet : 0.7344 0.7550 +[2025-02-27 03:48:33,075 INFO hook.py line 232 1688082] sink : 0.3745 0.4131 +[2025-02-27 03:48:33,076 INFO hook.py line 232 1688082] bathtub : 0.6696 0.7142 +[2025-02-27 03:48:33,076 INFO hook.py line 232 1688082] otherfurniture : 0.2073 0.2448 +[2025-02-27 03:48:33,076 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:48:33,076 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4531/0.5856/0.7711. +[2025-02-27 03:48:33,077 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:48:33,121 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.4531 +[2025-02-27 03:48:33,121 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4531 +[2025-02-27 03:48:33,121 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:49:00,574 INFO hook.py line 109 1688082] Train: [7/100][50/300] Data 0.010 (0.018) Batch 0.346 (0.388) Remain 03:01:53 loss: 1.2793 Lr: 5.99775e-03 +[2025-02-27 03:49:18,848 INFO hook.py line 109 1688082] Train: [7/100][100/300] Data 0.010 (0.012) Batch 0.397 (0.376) Remain 02:56:13 loss: 1.6160 Lr: 5.99707e-03 +[2025-02-27 03:49:37,520 INFO hook.py line 109 1688082] Train: [7/100][150/300] Data 0.014 (0.011) Batch 0.417 (0.375) Remain 02:55:26 loss: 1.0984 Lr: 5.99629e-03 +[2025-02-27 03:49:55,904 INFO hook.py line 109 1688082] Train: [7/100][200/300] Data 0.005 (0.011) Batch 0.410 (0.373) Remain 02:54:13 loss: 0.5102 Lr: 5.99543e-03 +[2025-02-27 03:50:14,235 INFO hook.py line 109 1688082] Train: [7/100][250/300] Data 0.014 (0.010) Batch 0.274 (0.372) Remain 02:53:16 loss: 1.2880 Lr: 5.99447e-03 +[2025-02-27 03:50:28,159 INFO hook.py line 109 1688082] Train: [7/100][300/300] Data 0.001 (0.009) Batch 0.188 (0.356) Remain 02:45:38 loss: 1.2885 Lr: 5.99342e-03 +[2025-02-27 03:50:28,160 INFO misc.py line 135 1688082] Train result: loss: 1.2301 +[2025-02-27 03:50:28,248 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:50:45,921 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.7058 +[2025-02-27 03:50:47,537 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0590 +[2025-02-27 03:50:47,581 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.1681 +[2025-02-27 03:50:47,625 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7907 +[2025-02-27 03:50:47,666 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9450 +[2025-02-27 03:50:47,733 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7313 +[2025-02-27 03:50:47,785 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1726 +[2025-02-27 03:50:48,075 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.7684 +[2025-02-27 03:50:48,127 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3525 +[2025-02-27 03:50:48,168 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.6585 +[2025-02-27 03:50:48,213 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9386 +[2025-02-27 03:50:48,258 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3617 +[2025-02-27 03:50:48,316 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3111 +[2025-02-27 03:50:48,371 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1508 +[2025-02-27 03:50:48,560 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2130 +[2025-02-27 03:50:48,604 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.5855 +[2025-02-27 03:50:48,643 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.5103 +[2025-02-27 03:50:48,678 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.9022 +[2025-02-27 03:50:48,732 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.8147 +[2025-02-27 03:50:48,764 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8327 +[2025-02-27 03:50:48,800 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.6251 +[2025-02-27 03:50:48,838 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.9990 +[2025-02-27 03:50:48,878 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.7583 +[2025-02-27 03:50:48,925 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3608 +[2025-02-27 03:50:48,963 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2206 +[2025-02-27 03:50:49,004 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1151 +[2025-02-27 03:50:49,054 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8592 +[2025-02-27 03:50:49,086 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0910 +[2025-02-27 03:50:49,125 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.7944 +[2025-02-27 03:50:49,179 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.3063 +[2025-02-27 03:50:49,233 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.3974 +[2025-02-27 03:50:49,267 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.6340 +[2025-02-27 03:50:49,318 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.6207 +[2025-02-27 03:50:49,355 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4900 +[2025-02-27 03:50:49,391 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.8479 +[2025-02-27 03:50:49,435 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3467 +[2025-02-27 03:50:49,472 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.9805 +[2025-02-27 03:50:49,499 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.8380 +[2025-02-27 03:50:49,567 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.3432 +[2025-02-27 03:50:49,611 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0389 +[2025-02-27 03:50:49,653 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2742 +[2025-02-27 03:50:49,692 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.8980 +[2025-02-27 03:50:49,743 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7506 +[2025-02-27 03:50:49,795 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.2125 +[2025-02-27 03:50:49,834 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0755 +[2025-02-27 03:50:49,875 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0763 +[2025-02-27 03:50:49,912 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1225 +[2025-02-27 03:50:49,944 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.8381 +[2025-02-27 03:50:49,975 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.9539 +[2025-02-27 03:50:50,005 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.7308 +[2025-02-27 03:50:50,034 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2098 +[2025-02-27 03:50:50,066 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3632 +[2025-02-27 03:50:50,098 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.7757 +[2025-02-27 03:50:50,132 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.1184 +[2025-02-27 03:50:50,167 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.3618 +[2025-02-27 03:50:50,206 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.7721 +[2025-02-27 03:50:50,238 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1996 +[2025-02-27 03:50:50,263 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.6291 +[2025-02-27 03:50:50,301 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2371 +[2025-02-27 03:50:50,334 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1227 +[2025-02-27 03:50:50,358 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2095 +[2025-02-27 03:50:50,391 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1539 +[2025-02-27 03:50:50,426 INFO hook.py line 289 1688082] Test: [63/78] Loss 2.1117 +[2025-02-27 03:50:50,480 INFO hook.py line 289 1688082] Test: [64/78] Loss 2.0213 +[2025-02-27 03:50:50,508 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4992 +[2025-02-27 03:50:50,546 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.4557 +[2025-02-27 03:50:50,583 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.2997 +[2025-02-27 03:50:50,616 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5894 +[2025-02-27 03:50:50,644 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4715 +[2025-02-27 03:50:50,696 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3784 +[2025-02-27 03:50:50,737 INFO hook.py line 289 1688082] Test: [71/78] Loss 2.0618 +[2025-02-27 03:50:50,786 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7816 +[2025-02-27 03:50:50,832 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.0391 +[2025-02-27 03:50:50,870 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8691 +[2025-02-27 03:50:50,916 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5779 +[2025-02-27 03:50:50,943 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4841 +[2025-02-27 03:50:50,994 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.9771 +[2025-02-27 03:50:51,020 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.9261 +[2025-02-27 03:50:52,545 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:50:52,547 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:50:52,550 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:50:52,550 INFO hook.py line 232 1688082] wall : 0.6407 0.7279 +[2025-02-27 03:50:52,551 INFO hook.py line 232 1688082] floor : 0.9352 0.9843 +[2025-02-27 03:50:52,551 INFO hook.py line 232 1688082] cabinet : 0.3151 0.5859 +[2025-02-27 03:50:52,552 INFO hook.py line 232 1688082] bed : 0.4342 0.6274 +[2025-02-27 03:50:52,552 INFO hook.py line 232 1688082] chair : 0.6656 0.7124 +[2025-02-27 03:50:52,552 INFO hook.py line 232 1688082] sofa : 0.4994 0.7209 +[2025-02-27 03:50:52,552 INFO hook.py line 232 1688082] table : 0.4864 0.7383 +[2025-02-27 03:50:52,553 INFO hook.py line 232 1688082] door : 0.2929 0.4264 +[2025-02-27 03:50:52,553 INFO hook.py line 232 1688082] window : 0.3081 0.5645 +[2025-02-27 03:50:52,553 INFO hook.py line 232 1688082] bookshelf : 0.4218 0.5501 +[2025-02-27 03:50:52,553 INFO hook.py line 232 1688082] picture : 0.1056 0.2099 +[2025-02-27 03:50:52,553 INFO hook.py line 232 1688082] counter : 0.3475 0.5435 +[2025-02-27 03:50:52,554 INFO hook.py line 232 1688082] desk : 0.1999 0.3078 +[2025-02-27 03:50:52,554 INFO hook.py line 232 1688082] curtain : 0.4303 0.5991 +[2025-02-27 03:50:52,554 INFO hook.py line 232 1688082] refridgerator : 0.1488 0.3911 +[2025-02-27 03:50:52,554 INFO hook.py line 232 1688082] shower curtain : 0.2995 0.4970 +[2025-02-27 03:50:52,555 INFO hook.py line 232 1688082] toilet : 0.6373 0.7392 +[2025-02-27 03:50:52,555 INFO hook.py line 232 1688082] sink : 0.3027 0.3157 +[2025-02-27 03:50:52,555 INFO hook.py line 232 1688082] bathtub : 0.7042 0.7969 +[2025-02-27 03:50:52,555 INFO hook.py line 232 1688082] otherfurniture : 0.2459 0.4310 +[2025-02-27 03:50:52,556 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:50:52,556 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4211/0.5735/0.7352. +[2025-02-27 03:50:52,559 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:50:52,576 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4531 +[2025-02-27 03:50:52,577 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:51:14,225 INFO hook.py line 109 1688082] Train: [8/100][50/300] Data 0.003 (0.004) Batch 0.247 (0.258) Remain 01:59:42 loss: 1.1208 Lr: 5.99228e-03 +[2025-02-27 03:51:31,915 INFO hook.py line 109 1688082] Train: [8/100][100/300] Data 0.006 (0.005) Batch 0.407 (0.307) Remain 02:22:22 loss: 1.0798 Lr: 5.99105e-03 +[2025-02-27 03:51:51,439 INFO hook.py line 109 1688082] Train: [8/100][150/300] Data 0.004 (0.006) Batch 0.262 (0.336) Remain 02:35:12 loss: 0.8246 Lr: 5.98973e-03 +[2025-02-27 03:52:12,973 INFO hook.py line 109 1688082] Train: [8/100][200/300] Data 0.011 (0.006) Batch 0.397 (0.360) Remain 02:46:04 loss: 1.3514 Lr: 5.98831e-03 +[2025-02-27 03:52:31,480 INFO hook.py line 109 1688082] Train: [8/100][250/300] Data 0.012 (0.007) Batch 0.375 (0.362) Remain 02:46:44 loss: 0.9945 Lr: 5.98681e-03 +[2025-02-27 03:52:45,445 INFO hook.py line 109 1688082] Train: [8/100][300/300] Data 0.001 (0.007) Batch 0.191 (0.348) Remain 02:40:03 loss: 1.4193 Lr: 5.98522e-03 +[2025-02-27 03:52:45,446 INFO misc.py line 135 1688082] Train result: loss: 1.1774 +[2025-02-27 03:52:45,553 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:53:04,052 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.6410 +[2025-02-27 03:53:04,286 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9061 +[2025-02-27 03:53:04,347 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9076 +[2025-02-27 03:53:04,543 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5865 +[2025-02-27 03:53:04,595 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.0694 +[2025-02-27 03:53:05,110 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8118 +[2025-02-27 03:53:05,162 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0710 +[2025-02-27 03:53:05,199 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5964 +[2025-02-27 03:53:05,244 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2323 +[2025-02-27 03:53:05,676 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.8961 +[2025-02-27 03:53:05,729 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.3417 +[2025-02-27 03:53:05,770 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0770 +[2025-02-27 03:53:05,816 INFO hook.py line 289 1688082] Test: [13/78] Loss 3.3125 +[2025-02-27 03:53:05,858 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0770 +[2025-02-27 03:53:05,907 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.1937 +[2025-02-27 03:53:05,947 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.1084 +[2025-02-27 03:53:05,987 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.4915 +[2025-02-27 03:53:06,020 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5715 +[2025-02-27 03:53:06,061 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6774 +[2025-02-27 03:53:06,096 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0631 +[2025-02-27 03:53:06,136 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4057 +[2025-02-27 03:53:06,173 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.3091 +[2025-02-27 03:53:06,212 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9957 +[2025-02-27 03:53:06,253 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3491 +[2025-02-27 03:53:06,294 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.6410 +[2025-02-27 03:53:06,332 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0253 +[2025-02-27 03:53:06,390 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.4311 +[2025-02-27 03:53:06,428 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8013 +[2025-02-27 03:53:06,459 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4473 +[2025-02-27 03:53:06,513 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9799 +[2025-02-27 03:53:06,567 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9602 +[2025-02-27 03:53:06,599 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9770 +[2025-02-27 03:53:06,657 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4085 +[2025-02-27 03:53:06,693 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3493 +[2025-02-27 03:53:06,729 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5113 +[2025-02-27 03:53:06,771 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2393 +[2025-02-27 03:53:06,816 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8258 +[2025-02-27 03:53:06,844 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5665 +[2025-02-27 03:53:06,905 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1904 +[2025-02-27 03:53:06,951 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.4746 +[2025-02-27 03:53:06,999 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3807 +[2025-02-27 03:53:07,036 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3545 +[2025-02-27 03:53:07,083 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.0140 +[2025-02-27 03:53:07,137 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8379 +[2025-02-27 03:53:07,184 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.2668 +[2025-02-27 03:53:07,240 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.7458 +[2025-02-27 03:53:07,275 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.4885 +[2025-02-27 03:53:07,306 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9455 +[2025-02-27 03:53:07,346 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7477 +[2025-02-27 03:53:07,378 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5697 +[2025-02-27 03:53:07,406 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0779 +[2025-02-27 03:53:07,441 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4599 +[2025-02-27 03:53:07,474 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5750 +[2025-02-27 03:53:07,513 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5433 +[2025-02-27 03:53:07,548 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1758 +[2025-02-27 03:53:07,587 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4016 +[2025-02-27 03:53:07,618 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2947 +[2025-02-27 03:53:07,644 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8632 +[2025-02-27 03:53:07,681 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2950 +[2025-02-27 03:53:07,713 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0912 +[2025-02-27 03:53:07,737 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2195 +[2025-02-27 03:53:07,768 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9114 +[2025-02-27 03:53:07,803 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6009 +[2025-02-27 03:53:07,857 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7536 +[2025-02-27 03:53:07,884 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.9541 +[2025-02-27 03:53:07,923 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.1097 +[2025-02-27 03:53:07,960 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.1802 +[2025-02-27 03:53:07,991 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5170 +[2025-02-27 03:53:08,019 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3486 +[2025-02-27 03:53:08,071 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5766 +[2025-02-27 03:53:08,112 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6462 +[2025-02-27 03:53:08,161 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.8548 +[2025-02-27 03:53:08,207 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7908 +[2025-02-27 03:53:08,245 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4345 +[2025-02-27 03:53:08,290 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8976 +[2025-02-27 03:53:08,318 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3546 +[2025-02-27 03:53:08,370 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.0994 +[2025-02-27 03:53:08,396 INFO hook.py line 289 1688082] Test: [78/78] Loss 1.3128 +[2025-02-27 03:53:09,599 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:53:09,599 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:53:09,599 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] wall : 0.7006 0.8089 +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] floor : 0.9315 0.9615 +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] cabinet : 0.3398 0.5245 +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] bed : 0.5954 0.7425 +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] chair : 0.7364 0.7880 +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] sofa : 0.5755 0.8612 +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] table : 0.5053 0.6173 +[2025-02-27 03:53:09,600 INFO hook.py line 232 1688082] door : 0.3967 0.6044 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] window : 0.2628 0.3200 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] bookshelf : 0.3384 0.9457 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] picture : 0.1422 0.3345 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] counter : 0.3197 0.5259 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] desk : 0.2523 0.3165 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] curtain : 0.4577 0.6366 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] refridgerator : 0.2247 0.3280 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] shower curtain : 0.4604 0.6034 +[2025-02-27 03:53:09,601 INFO hook.py line 232 1688082] toilet : 0.5174 0.9393 +[2025-02-27 03:53:09,602 INFO hook.py line 232 1688082] sink : 0.3076 0.7531 +[2025-02-27 03:53:09,602 INFO hook.py line 232 1688082] bathtub : 0.5886 0.8039 +[2025-02-27 03:53:09,602 INFO hook.py line 232 1688082] otherfurniture : 0.2580 0.3048 +[2025-02-27 03:53:09,602 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:53:09,602 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4455/0.6360/0.7671. +[2025-02-27 03:53:09,603 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:53:09,621 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4531 +[2025-02-27 03:53:09,621 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:53:37,056 INFO hook.py line 109 1688082] Train: [9/100][50/300] Data 0.004 (0.013) Batch 0.464 (0.411) Remain 03:08:31 loss: 1.3826 Lr: 5.98353e-03 +[2025-02-27 03:53:55,513 INFO hook.py line 109 1688082] Train: [9/100][100/300] Data 0.012 (0.011) Batch 0.301 (0.389) Remain 02:58:22 loss: 1.3733 Lr: 5.98176e-03 +[2025-02-27 03:54:14,556 INFO hook.py line 109 1688082] Train: [9/100][150/300] Data 0.008 (0.010) Batch 0.382 (0.386) Remain 02:56:44 loss: 1.0874 Lr: 5.97989e-03 +[2025-02-27 03:54:32,929 INFO hook.py line 109 1688082] Train: [9/100][200/300] Data 0.009 (0.009) Batch 0.334 (0.382) Remain 02:54:14 loss: 1.2736 Lr: 5.97794e-03 +[2025-02-27 03:54:51,167 INFO hook.py line 109 1688082] Train: [9/100][250/300] Data 0.008 (0.009) Batch 0.358 (0.378) Remain 02:52:21 loss: 1.4351 Lr: 5.97589e-03 +[2025-02-27 03:55:04,333 INFO hook.py line 109 1688082] Train: [9/100][300/300] Data 0.001 (0.009) Batch 0.186 (0.359) Remain 02:43:15 loss: 1.1900 Lr: 5.97375e-03 +[2025-02-27 03:55:04,333 INFO misc.py line 135 1688082] Train result: loss: 1.1043 +[2025-02-27 03:55:04,429 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:55:18,956 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5578 +[2025-02-27 03:55:19,006 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2032 +[2025-02-27 03:55:19,062 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6862 +[2025-02-27 03:55:19,115 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6652 +[2025-02-27 03:55:19,158 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.1424 +[2025-02-27 03:55:19,220 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5679 +[2025-02-27 03:55:19,284 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0646 +[2025-02-27 03:55:19,326 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6957 +[2025-02-27 03:55:19,379 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3824 +[2025-02-27 03:55:19,484 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.6560 +[2025-02-27 03:55:19,527 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.0143 +[2025-02-27 03:55:19,674 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2961 +[2025-02-27 03:55:20,270 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5750 +[2025-02-27 03:55:20,314 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5538 +[2025-02-27 03:55:20,352 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2341 +[2025-02-27 03:55:20,404 INFO hook.py line 289 1688082] Test: [16/78] Loss 2.0752 +[2025-02-27 03:55:20,442 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.3513 +[2025-02-27 03:55:20,483 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5433 +[2025-02-27 03:55:20,533 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5965 +[2025-02-27 03:55:20,575 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.3207 +[2025-02-27 03:55:20,621 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4322 +[2025-02-27 03:55:20,667 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.2106 +[2025-02-27 03:55:20,707 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.4579 +[2025-02-27 03:55:20,757 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.9347 +[2025-02-27 03:55:20,807 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.7047 +[2025-02-27 03:55:20,854 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0969 +[2025-02-27 03:55:20,910 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.3457 +[2025-02-27 03:55:20,954 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6472 +[2025-02-27 03:55:20,991 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4768 +[2025-02-27 03:55:21,053 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7864 +[2025-02-27 03:55:21,113 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.0307 +[2025-02-27 03:55:21,154 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.3552 +[2025-02-27 03:55:21,214 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.5332 +[2025-02-27 03:55:21,258 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3620 +[2025-02-27 03:55:21,300 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.8632 +[2025-02-27 03:55:21,345 INFO hook.py line 289 1688082] Test: [36/78] Loss 0.7129 +[2025-02-27 03:55:21,391 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6546 +[2025-02-27 03:55:21,429 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5845 +[2025-02-27 03:55:21,495 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9849 +[2025-02-27 03:55:21,550 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0210 +[2025-02-27 03:55:21,599 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.4817 +[2025-02-27 03:55:21,637 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.6116 +[2025-02-27 03:55:21,681 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8212 +[2025-02-27 03:55:21,740 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.2637 +[2025-02-27 03:55:21,779 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0918 +[2025-02-27 03:55:21,833 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9040 +[2025-02-27 03:55:21,878 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.8996 +[2025-02-27 03:55:21,918 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9194 +[2025-02-27 03:55:21,956 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.3839 +[2025-02-27 03:55:21,995 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.6659 +[2025-02-27 03:55:22,032 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.7283 +[2025-02-27 03:55:22,074 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4520 +[2025-02-27 03:55:22,108 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.7892 +[2025-02-27 03:55:22,150 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2569 +[2025-02-27 03:55:22,192 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.4298 +[2025-02-27 03:55:22,243 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.6906 +[2025-02-27 03:55:22,283 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9760 +[2025-02-27 03:55:22,318 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0295 +[2025-02-27 03:55:22,362 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1847 +[2025-02-27 03:55:22,402 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1640 +[2025-02-27 03:55:22,436 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1169 +[2025-02-27 03:55:22,478 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.2719 +[2025-02-27 03:55:22,522 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4662 +[2025-02-27 03:55:22,583 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6724 +[2025-02-27 03:55:22,618 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.8360 +[2025-02-27 03:55:22,664 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8524 +[2025-02-27 03:55:22,708 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8449 +[2025-02-27 03:55:22,750 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5695 +[2025-02-27 03:55:22,787 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3258 +[2025-02-27 03:55:22,847 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.9203 +[2025-02-27 03:55:22,896 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.7333 +[2025-02-27 03:55:22,952 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.8602 +[2025-02-27 03:55:23,007 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9188 +[2025-02-27 03:55:23,053 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3141 +[2025-02-27 03:55:23,106 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8485 +[2025-02-27 03:55:23,142 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4243 +[2025-02-27 03:55:23,200 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.3030 +[2025-02-27 03:55:23,234 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7843 +[2025-02-27 03:55:24,925 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:55:24,925 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:55:24,925 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:55:24,925 INFO hook.py line 232 1688082] wall : 0.6997 0.8280 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] floor : 0.9427 0.9795 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] cabinet : 0.2976 0.3244 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] bed : 0.5311 0.5877 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] chair : 0.6942 0.7487 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] sofa : 0.4537 0.9264 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] table : 0.4658 0.5494 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] door : 0.3660 0.5359 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] window : 0.3299 0.6599 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] bookshelf : 0.6090 0.7425 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] picture : 0.1318 0.2025 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] counter : 0.2422 0.2873 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] desk : 0.2682 0.8330 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] curtain : 0.4166 0.5274 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] refridgerator : 0.1873 0.4416 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] shower curtain : 0.3422 0.4743 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] toilet : 0.7346 0.7817 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] sink : 0.4141 0.4645 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] bathtub : 0.7635 0.8540 +[2025-02-27 03:55:24,926 INFO hook.py line 232 1688082] otherfurniture : 0.2073 0.2451 +[2025-02-27 03:55:24,926 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:55:24,926 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4549/0.5997/0.7656. +[2025-02-27 03:55:24,927 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:55:24,944 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.4549 +[2025-02-27 03:55:24,944 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4549 +[2025-02-27 03:55:24,944 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:55:49,548 INFO hook.py line 109 1688082] Train: [10/100][50/300] Data 0.005 (0.006) Batch 0.260 (0.319) Remain 02:24:54 loss: 1.0958 Lr: 5.97152e-03 +[2025-02-27 03:56:06,383 INFO hook.py line 109 1688082] Train: [10/100][100/300] Data 0.009 (0.006) Batch 0.615 (0.328) Remain 02:28:44 loss: 1.3393 Lr: 5.96921e-03 +[2025-02-27 03:56:27,472 INFO hook.py line 109 1688082] Train: [10/100][150/300] Data 0.005 (0.007) Batch 0.361 (0.360) Remain 02:42:52 loss: 1.1667 Lr: 5.96680e-03 +[2025-02-27 03:56:45,679 INFO hook.py line 109 1688082] Train: [10/100][200/300] Data 0.008 (0.008) Batch 0.386 (0.361) Remain 02:43:04 loss: 0.6769 Lr: 5.96430e-03 +[2025-02-27 03:57:04,815 INFO hook.py line 109 1688082] Train: [10/100][250/300] Data 0.007 (0.008) Batch 0.443 (0.365) Remain 02:44:45 loss: 1.1923 Lr: 5.96171e-03 +[2025-02-27 03:57:18,247 INFO hook.py line 109 1688082] Train: [10/100][300/300] Data 0.002 (0.007) Batch 0.199 (0.349) Remain 02:37:06 loss: 0.8883 Lr: 5.95903e-03 +[2025-02-27 03:57:18,248 INFO misc.py line 135 1688082] Train result: loss: 1.1043 +[2025-02-27 03:57:18,359 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:57:37,125 INFO hook.py line 289 1688082] Test: [1/78] Loss 1.5175 +[2025-02-27 03:57:37,415 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.4577 +[2025-02-27 03:57:37,747 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.5246 +[2025-02-27 03:57:37,811 INFO hook.py line 289 1688082] Test: [4/78] Loss 1.2365 +[2025-02-27 03:57:37,860 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.2557 +[2025-02-27 03:57:37,914 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8633 +[2025-02-27 03:57:37,962 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1001 +[2025-02-27 03:57:38,002 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.9646 +[2025-02-27 03:57:38,214 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1706 +[2025-02-27 03:57:38,253 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4134 +[2025-02-27 03:57:38,297 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9587 +[2025-02-27 03:57:38,341 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3466 +[2025-02-27 03:57:38,399 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.4470 +[2025-02-27 03:57:38,700 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1994 +[2025-02-27 03:57:38,736 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2229 +[2025-02-27 03:57:38,779 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.4106 +[2025-02-27 03:57:38,815 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.7121 +[2025-02-27 03:57:38,860 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.6668 +[2025-02-27 03:57:38,905 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.7346 +[2025-02-27 03:57:38,940 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8406 +[2025-02-27 03:57:38,981 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.7576 +[2025-02-27 03:57:39,023 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.2090 +[2025-02-27 03:57:39,071 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.4398 +[2025-02-27 03:57:39,113 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.7754 +[2025-02-27 03:57:39,152 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5873 +[2025-02-27 03:57:39,200 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.4182 +[2025-02-27 03:57:39,247 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.1289 +[2025-02-27 03:57:39,287 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0403 +[2025-02-27 03:57:39,317 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.7352 +[2025-02-27 03:57:39,367 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.1010 +[2025-02-27 03:57:39,421 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.5251 +[2025-02-27 03:57:39,460 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0170 +[2025-02-27 03:57:39,510 INFO hook.py line 289 1688082] Test: [33/78] Loss 1.1261 +[2025-02-27 03:57:39,545 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2111 +[2025-02-27 03:57:39,580 INFO hook.py line 289 1688082] Test: [35/78] Loss 1.1878 +[2025-02-27 03:57:39,617 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1665 +[2025-02-27 03:57:39,657 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.0611 +[2025-02-27 03:57:39,685 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.8590 +[2025-02-27 03:57:39,752 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7685 +[2025-02-27 03:57:39,799 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2975 +[2025-02-27 03:57:39,846 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.9668 +[2025-02-27 03:57:39,877 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.9219 +[2025-02-27 03:57:39,920 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.3743 +[2025-02-27 03:57:39,982 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.1152 +[2025-02-27 03:57:40,024 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.3739 +[2025-02-27 03:57:40,075 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.9754 +[2025-02-27 03:57:40,111 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3449 +[2025-02-27 03:57:40,147 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.1393 +[2025-02-27 03:57:40,177 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.3817 +[2025-02-27 03:57:40,207 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.6642 +[2025-02-27 03:57:40,234 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.5199 +[2025-02-27 03:57:40,266 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.7803 +[2025-02-27 03:57:40,291 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.9707 +[2025-02-27 03:57:40,324 INFO hook.py line 289 1688082] Test: [54/78] Loss 3.1346 +[2025-02-27 03:57:40,358 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.6404 +[2025-02-27 03:57:40,398 INFO hook.py line 289 1688082] Test: [56/78] Loss 1.1378 +[2025-02-27 03:57:40,439 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.3485 +[2025-02-27 03:57:40,478 INFO hook.py line 289 1688082] Test: [58/78] Loss 2.5544 +[2025-02-27 03:57:40,515 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1312 +[2025-02-27 03:57:40,547 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.6416 +[2025-02-27 03:57:40,571 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1675 +[2025-02-27 03:57:40,603 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.2811 +[2025-02-27 03:57:40,637 INFO hook.py line 289 1688082] Test: [63/78] Loss 2.1251 +[2025-02-27 03:57:40,691 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8349 +[2025-02-27 03:57:40,717 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.6089 +[2025-02-27 03:57:40,755 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.3728 +[2025-02-27 03:57:40,794 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.3731 +[2025-02-27 03:57:40,824 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5679 +[2025-02-27 03:57:40,853 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.6857 +[2025-02-27 03:57:40,903 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.0353 +[2025-02-27 03:57:40,944 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3787 +[2025-02-27 03:57:40,993 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.8270 +[2025-02-27 03:57:41,039 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.7361 +[2025-02-27 03:57:41,076 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.9553 +[2025-02-27 03:57:41,123 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8607 +[2025-02-27 03:57:41,151 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.7827 +[2025-02-27 03:57:41,202 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.6048 +[2025-02-27 03:57:41,228 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.9054 +[2025-02-27 03:57:43,083 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 03:57:43,083 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 03:57:43,083 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 03:57:43,083 INFO hook.py line 232 1688082] wall : 0.5466 0.5777 +[2025-02-27 03:57:43,083 INFO hook.py line 232 1688082] floor : 0.9393 0.9766 +[2025-02-27 03:57:43,083 INFO hook.py line 232 1688082] cabinet : 0.2852 0.5600 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] bed : 0.4974 0.6773 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] chair : 0.7262 0.8909 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] sofa : 0.6285 0.7873 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] table : 0.4019 0.4346 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] door : 0.3230 0.6842 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] window : 0.2717 0.3423 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] bookshelf : 0.6001 0.8334 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] picture : 0.0894 0.1047 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] counter : 0.4626 0.6346 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] desk : 0.3492 0.7058 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] curtain : 0.3963 0.6315 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] refridgerator : 0.1228 0.6980 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] shower curtain : 0.1222 0.6656 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] toilet : 0.2870 0.8684 +[2025-02-27 03:57:43,084 INFO hook.py line 232 1688082] sink : 0.3685 0.7774 +[2025-02-27 03:57:43,091 INFO hook.py line 232 1688082] bathtub : 0.3608 0.7800 +[2025-02-27 03:57:43,091 INFO hook.py line 232 1688082] otherfurniture : 0.2936 0.4535 +[2025-02-27 03:57:43,091 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 03:57:43,091 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4036/0.6542/0.7164. +[2025-02-27 03:57:43,092 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 03:57:43,118 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4549 +[2025-02-27 03:57:43,119 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 03:58:10,302 INFO hook.py line 109 1688082] Train: [11/100][50/300] Data 0.013 (0.009) Batch 0.489 (0.384) Remain 02:52:39 loss: 1.1091 Lr: 5.95627e-03 +[2025-02-27 03:58:28,678 INFO hook.py line 109 1688082] Train: [11/100][100/300] Data 0.005 (0.008) Batch 0.305 (0.376) Remain 02:48:27 loss: 1.4034 Lr: 5.95341e-03 +[2025-02-27 03:58:47,158 INFO hook.py line 109 1688082] Train: [11/100][150/300] Data 0.009 (0.007) Batch 0.374 (0.374) Remain 02:47:12 loss: 1.1126 Lr: 5.95046e-03 +[2025-02-27 03:59:04,783 INFO hook.py line 109 1688082] Train: [11/100][200/300] Data 0.003 (0.007) Batch 0.268 (0.368) Remain 02:44:29 loss: 0.9370 Lr: 5.94742e-03 +[2025-02-27 03:59:17,714 INFO hook.py line 109 1688082] Train: [11/100][250/300] Data 0.004 (0.007) Batch 0.251 (0.346) Remain 02:34:17 loss: 1.1840 Lr: 5.94430e-03 +[2025-02-27 03:59:33,827 INFO hook.py line 109 1688082] Train: [11/100][300/300] Data 0.002 (0.006) Batch 0.342 (0.342) Remain 02:32:13 loss: 0.6754 Lr: 5.94108e-03 +[2025-02-27 03:59:33,829 INFO misc.py line 135 1688082] Train result: loss: 1.0726 +[2025-02-27 03:59:33,947 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 03:59:55,311 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4613 +[2025-02-27 03:59:55,432 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0505 +[2025-02-27 03:59:55,474 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9361 +[2025-02-27 03:59:55,535 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8326 +[2025-02-27 03:59:55,579 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.5538 +[2025-02-27 03:59:55,637 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.4223 +[2025-02-27 03:59:55,703 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9030 +[2025-02-27 03:59:55,744 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.8734 +[2025-02-27 03:59:55,806 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3185 +[2025-02-27 04:00:03,007 INFO hook.py line 289 1688082] Test: [10/78] Loss 2.3030 +[2025-02-27 04:00:04,589 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.1346 +[2025-02-27 04:00:05,310 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1198 +[2025-02-27 04:00:05,369 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3281 +[2025-02-27 04:00:05,407 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.2890 +[2025-02-27 04:00:05,443 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.6572 +[2025-02-27 04:00:05,720 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3828 +[2025-02-27 04:00:05,756 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.4058 +[2025-02-27 04:00:05,793 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5454 +[2025-02-27 04:00:05,833 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5709 +[2025-02-27 04:00:05,871 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9110 +[2025-02-27 04:00:05,910 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5226 +[2025-02-27 04:00:05,948 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8762 +[2025-02-27 04:00:05,977 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1751 +[2025-02-27 04:00:06,017 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.8493 +[2025-02-27 04:00:06,062 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3304 +[2025-02-27 04:00:06,105 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0150 +[2025-02-27 04:00:06,153 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.7905 +[2025-02-27 04:00:06,189 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.9033 +[2025-02-27 04:00:06,225 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5679 +[2025-02-27 04:00:06,280 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9210 +[2025-02-27 04:00:06,334 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7163 +[2025-02-27 04:00:06,367 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8934 +[2025-02-27 04:00:06,417 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4534 +[2025-02-27 04:00:06,464 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.7113 +[2025-02-27 04:00:06,503 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6811 +[2025-02-27 04:00:06,544 INFO hook.py line 289 1688082] Test: [36/78] Loss 0.8421 +[2025-02-27 04:00:06,584 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8777 +[2025-02-27 04:00:06,618 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6303 +[2025-02-27 04:00:06,675 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6901 +[2025-02-27 04:00:06,719 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0330 +[2025-02-27 04:00:06,770 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3610 +[2025-02-27 04:00:06,801 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5244 +[2025-02-27 04:00:06,848 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6454 +[2025-02-27 04:00:06,901 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.0664 +[2025-02-27 04:00:06,931 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9342 +[2025-02-27 04:00:06,977 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1687 +[2025-02-27 04:00:07,014 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.6198 +[2025-02-27 04:00:07,046 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7974 +[2025-02-27 04:00:07,077 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.0435 +[2025-02-27 04:00:07,107 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5119 +[2025-02-27 04:00:07,136 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3630 +[2025-02-27 04:00:07,168 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4783 +[2025-02-27 04:00:07,194 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6450 +[2025-02-27 04:00:07,230 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3736 +[2025-02-27 04:00:07,265 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1653 +[2025-02-27 04:00:07,304 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4523 +[2025-02-27 04:00:07,336 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2148 +[2025-02-27 04:00:07,362 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8554 +[2025-02-27 04:00:07,400 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0739 +[2025-02-27 04:00:07,431 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1544 +[2025-02-27 04:00:07,458 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2291 +[2025-02-27 04:00:07,493 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0514 +[2025-02-27 04:00:07,526 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.7032 +[2025-02-27 04:00:07,580 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.4023 +[2025-02-27 04:00:07,606 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2567 +[2025-02-27 04:00:07,645 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.1490 +[2025-02-27 04:00:07,682 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7275 +[2025-02-27 04:00:07,715 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5063 +[2025-02-27 04:00:07,746 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3982 +[2025-02-27 04:00:07,798 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3872 +[2025-02-27 04:00:07,838 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4134 +[2025-02-27 04:00:07,886 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.9959 +[2025-02-27 04:00:07,932 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5459 +[2025-02-27 04:00:07,970 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0210 +[2025-02-27 04:00:08,016 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6430 +[2025-02-27 04:00:08,043 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2791 +[2025-02-27 04:00:08,095 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.1920 +[2025-02-27 04:00:08,121 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7634 +[2025-02-27 04:00:09,449 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:00:09,450 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:00:09,450 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:00:09,450 INFO hook.py line 232 1688082] wall : 0.7147 0.8680 +[2025-02-27 04:00:09,450 INFO hook.py line 232 1688082] floor : 0.9442 0.9774 +[2025-02-27 04:00:09,450 INFO hook.py line 232 1688082] cabinet : 0.3337 0.3991 +[2025-02-27 04:00:09,450 INFO hook.py line 232 1688082] bed : 0.5340 0.5440 +[2025-02-27 04:00:09,450 INFO hook.py line 232 1688082] chair : 0.7546 0.9048 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] sofa : 0.7056 0.8409 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] table : 0.4925 0.5337 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] door : 0.2432 0.2622 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] window : 0.3675 0.5330 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] bookshelf : 0.4332 0.9056 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] picture : 0.1283 0.1742 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] counter : 0.3768 0.4219 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] desk : 0.3537 0.8503 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] curtain : 0.5591 0.6678 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] refridgerator : 0.2202 0.2619 +[2025-02-27 04:00:09,451 INFO hook.py line 232 1688082] shower curtain : 0.3475 0.5751 +[2025-02-27 04:00:09,452 INFO hook.py line 232 1688082] toilet : 0.7113 0.9645 +[2025-02-27 04:00:09,452 INFO hook.py line 232 1688082] sink : 0.5022 0.7272 +[2025-02-27 04:00:09,452 INFO hook.py line 232 1688082] bathtub : 0.6660 0.8731 +[2025-02-27 04:00:09,452 INFO hook.py line 232 1688082] otherfurniture : 0.2919 0.4038 +[2025-02-27 04:00:09,452 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:00:09,452 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4840/0.6344/0.7887. +[2025-02-27 04:00:09,453 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:00:09,468 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.4840 +[2025-02-27 04:00:09,469 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4840 +[2025-02-27 04:00:09,469 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:00:37,142 INFO hook.py line 109 1688082] Train: [12/100][50/300] Data 0.005 (0.007) Batch 0.274 (0.370) Remain 02:44:22 loss: 1.1414 Lr: 5.93778e-03 +[2025-02-27 04:00:56,008 INFO hook.py line 109 1688082] Train: [12/100][100/300] Data 0.005 (0.007) Batch 0.294 (0.374) Remain 02:45:41 loss: 0.4997 Lr: 5.93438e-03 +[2025-02-27 04:01:14,475 INFO hook.py line 109 1688082] Train: [12/100][150/300] Data 0.008 (0.007) Batch 0.335 (0.372) Remain 02:44:44 loss: 1.1281 Lr: 5.93090e-03 +[2025-02-27 04:01:32,903 INFO hook.py line 109 1688082] Train: [12/100][200/300] Data 0.006 (0.007) Batch 0.324 (0.371) Remain 02:44:00 loss: 1.0009 Lr: 5.92732e-03 +[2025-02-27 04:01:51,607 INFO hook.py line 109 1688082] Train: [12/100][250/300] Data 0.014 (0.008) Batch 0.310 (0.372) Remain 02:43:56 loss: 0.6704 Lr: 5.92366e-03 +[2025-02-27 04:02:05,384 INFO hook.py line 109 1688082] Train: [12/100][300/300] Data 0.002 (0.007) Batch 0.196 (0.356) Remain 02:36:29 loss: 0.9394 Lr: 5.91991e-03 +[2025-02-27 04:02:05,386 INFO misc.py line 135 1688082] Train result: loss: 1.0581 +[2025-02-27 04:02:05,482 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:02:25,675 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.6957 +[2025-02-27 04:02:25,753 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2176 +[2025-02-27 04:02:25,787 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9569 +[2025-02-27 04:02:25,858 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8128 +[2025-02-27 04:02:25,910 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8715 +[2025-02-27 04:02:25,963 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5073 +[2025-02-27 04:02:26,096 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1248 +[2025-02-27 04:02:26,125 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6887 +[2025-02-27 04:02:26,175 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2494 +[2025-02-27 04:02:26,206 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3513 +[2025-02-27 04:02:26,251 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8083 +[2025-02-27 04:02:26,293 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.4301 +[2025-02-27 04:02:26,340 INFO hook.py line 289 1688082] Test: [13/78] Loss 3.0813 +[2025-02-27 04:02:26,378 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.7498 +[2025-02-27 04:02:26,414 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.5469 +[2025-02-27 04:02:26,456 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.0331 +[2025-02-27 04:02:26,493 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.4870 +[2025-02-27 04:02:26,529 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0907 +[2025-02-27 04:02:26,571 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4093 +[2025-02-27 04:02:26,606 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9354 +[2025-02-27 04:02:26,640 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5821 +[2025-02-27 04:02:26,680 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.0221 +[2025-02-27 04:02:26,712 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2771 +[2025-02-27 04:02:26,761 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1950 +[2025-02-27 04:02:26,807 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2954 +[2025-02-27 04:02:26,852 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9213 +[2025-02-27 04:02:26,900 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9267 +[2025-02-27 04:02:26,934 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0831 +[2025-02-27 04:02:26,961 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5420 +[2025-02-27 04:02:27,014 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.0970 +[2025-02-27 04:02:27,069 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6549 +[2025-02-27 04:02:27,106 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0697 +[2025-02-27 04:02:27,159 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.6575 +[2025-02-27 04:02:27,203 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.5431 +[2025-02-27 04:02:27,239 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.8313 +[2025-02-27 04:02:27,282 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0135 +[2025-02-27 04:02:27,321 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.0069 +[2025-02-27 04:02:27,356 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6917 +[2025-02-27 04:02:27,414 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0598 +[2025-02-27 04:02:27,456 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0807 +[2025-02-27 04:02:27,500 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1927 +[2025-02-27 04:02:27,538 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.6260 +[2025-02-27 04:02:27,584 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7458 +[2025-02-27 04:02:27,640 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7554 +[2025-02-27 04:02:27,680 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0623 +[2025-02-27 04:02:27,728 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8409 +[2025-02-27 04:02:27,773 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3716 +[2025-02-27 04:02:27,808 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9173 +[2025-02-27 04:02:27,839 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6757 +[2025-02-27 04:02:27,875 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0771 +[2025-02-27 04:02:27,904 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2081 +[2025-02-27 04:02:27,937 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3508 +[2025-02-27 04:02:27,964 INFO hook.py line 289 1688082] Test: [53/78] Loss 1.1143 +[2025-02-27 04:02:27,999 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.7908 +[2025-02-27 04:02:28,035 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2790 +[2025-02-27 04:02:28,074 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4728 +[2025-02-27 04:02:28,107 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9767 +[2025-02-27 04:02:28,134 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3237 +[2025-02-27 04:02:28,171 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0772 +[2025-02-27 04:02:28,203 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0069 +[2025-02-27 04:02:28,229 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2214 +[2025-02-27 04:02:28,264 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1795 +[2025-02-27 04:02:28,298 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3092 +[2025-02-27 04:02:28,351 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6875 +[2025-02-27 04:02:28,378 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4976 +[2025-02-27 04:02:28,416 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0316 +[2025-02-27 04:02:28,453 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8540 +[2025-02-27 04:02:28,485 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0421 +[2025-02-27 04:02:28,514 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4192 +[2025-02-27 04:02:28,565 INFO hook.py line 289 1688082] Test: [70/78] Loss 0.9448 +[2025-02-27 04:02:28,607 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5884 +[2025-02-27 04:02:28,655 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7745 +[2025-02-27 04:02:28,701 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7115 +[2025-02-27 04:02:28,740 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8086 +[2025-02-27 04:02:28,786 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7713 +[2025-02-27 04:02:28,813 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4287 +[2025-02-27 04:02:28,865 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7753 +[2025-02-27 04:02:28,891 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.9028 +[2025-02-27 04:02:30,404 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:02:30,404 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:02:30,404 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] wall : 0.6988 0.8097 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] floor : 0.9483 0.9772 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] cabinet : 0.4108 0.5399 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] bed : 0.5290 0.8599 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] chair : 0.7746 0.8390 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] sofa : 0.5558 0.9146 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] table : 0.5589 0.6425 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] door : 0.3241 0.3734 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] window : 0.3172 0.5450 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] bookshelf : 0.5161 0.8623 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] picture : 0.1631 0.3061 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] counter : 0.4097 0.7322 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] desk : 0.4087 0.6052 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] curtain : 0.4938 0.7461 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] refridgerator : 0.2811 0.4410 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] shower curtain : 0.3317 0.4575 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] toilet : 0.7280 0.7715 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] sink : 0.5133 0.6226 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] bathtub : 0.3338 0.9335 +[2025-02-27 04:02:30,405 INFO hook.py line 232 1688082] otherfurniture : 0.2893 0.3737 +[2025-02-27 04:02:30,405 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:02:30,405 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4793/0.6676/0.7876. +[2025-02-27 04:02:30,406 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:02:30,422 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4840 +[2025-02-27 04:02:30,422 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:02:51,554 INFO hook.py line 109 1688082] Train: [13/100][50/300] Data 0.004 (0.003) Batch 0.271 (0.256) Remain 01:52:30 loss: 1.5045 Lr: 5.91607e-03 +[2025-02-27 04:03:10,728 INFO hook.py line 109 1688082] Train: [13/100][100/300] Data 0.003 (0.006) Batch 0.426 (0.322) Remain 02:21:03 loss: 1.5706 Lr: 5.91214e-03 +[2025-02-27 04:03:28,296 INFO hook.py line 109 1688082] Train: [13/100][150/300] Data 0.003 (0.006) Batch 0.279 (0.332) Remain 02:25:11 loss: 0.8198 Lr: 5.90813e-03 +[2025-02-27 04:03:41,808 INFO hook.py line 109 1688082] Train: [13/100][200/300] Data 0.004 (0.005) Batch 0.252 (0.316) Remain 02:18:04 loss: 0.4889 Lr: 5.90402e-03 +[2025-02-27 04:03:54,478 INFO hook.py line 109 1688082] Train: [13/100][250/300] Data 0.003 (0.005) Batch 0.244 (0.303) Remain 02:12:16 loss: 1.0850 Lr: 5.89983e-03 +[2025-02-27 04:04:05,772 INFO hook.py line 109 1688082] Train: [13/100][300/300] Data 0.002 (0.005) Batch 0.211 (0.290) Remain 02:06:20 loss: 1.2627 Lr: 5.89555e-03 +[2025-02-27 04:04:05,773 INFO misc.py line 135 1688082] Train result: loss: 1.0188 +[2025-02-27 04:04:05,879 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:04:22,431 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.6123 +[2025-02-27 04:04:22,473 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1160 +[2025-02-27 04:04:22,505 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.2289 +[2025-02-27 04:04:22,555 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8094 +[2025-02-27 04:04:22,594 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.1400 +[2025-02-27 04:04:22,642 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5748 +[2025-02-27 04:04:22,691 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.2534 +[2025-02-27 04:04:22,723 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6770 +[2025-02-27 04:04:22,770 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1364 +[2025-02-27 04:04:22,807 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4527 +[2025-02-27 04:04:23,112 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.0111 +[2025-02-27 04:04:23,143 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2283 +[2025-02-27 04:04:23,190 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9032 +[2025-02-27 04:04:23,228 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.8544 +[2025-02-27 04:04:23,273 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.4019 +[2025-02-27 04:04:23,314 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3288 +[2025-02-27 04:04:23,349 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.4056 +[2025-02-27 04:04:23,385 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.6129 +[2025-02-27 04:04:23,424 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5366 +[2025-02-27 04:04:23,455 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8253 +[2025-02-27 04:04:23,489 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5494 +[2025-02-27 04:04:23,527 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8837 +[2025-02-27 04:04:23,557 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.5375 +[2025-02-27 04:04:23,597 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2028 +[2025-02-27 04:04:23,640 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2661 +[2025-02-27 04:04:23,682 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1711 +[2025-02-27 04:04:23,729 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9956 +[2025-02-27 04:04:23,761 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7911 +[2025-02-27 04:04:23,788 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.6181 +[2025-02-27 04:04:23,840 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9655 +[2025-02-27 04:04:23,893 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9221 +[2025-02-27 04:04:23,929 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0072 +[2025-02-27 04:04:23,978 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4301 +[2025-02-27 04:04:24,013 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3100 +[2025-02-27 04:04:24,056 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5320 +[2025-02-27 04:04:24,102 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4908 +[2025-02-27 04:04:24,136 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7655 +[2025-02-27 04:04:24,167 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.7025 +[2025-02-27 04:04:24,223 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7243 +[2025-02-27 04:04:24,272 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2789 +[2025-02-27 04:04:24,311 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3652 +[2025-02-27 04:04:24,338 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.6079 +[2025-02-27 04:04:24,379 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8195 +[2025-02-27 04:04:24,437 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.2384 +[2025-02-27 04:04:24,471 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9239 +[2025-02-27 04:04:24,516 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1752 +[2025-02-27 04:04:24,552 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1877 +[2025-02-27 04:04:24,583 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.1159 +[2025-02-27 04:04:24,614 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7834 +[2025-02-27 04:04:24,645 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.7999 +[2025-02-27 04:04:24,673 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.9157 +[2025-02-27 04:04:24,705 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3208 +[2025-02-27 04:04:24,729 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5515 +[2025-02-27 04:04:24,762 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5043 +[2025-02-27 04:04:24,797 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2185 +[2025-02-27 04:04:24,836 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.6276 +[2025-02-27 04:04:24,868 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2802 +[2025-02-27 04:04:24,893 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1940 +[2025-02-27 04:04:24,929 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9615 +[2025-02-27 04:04:24,960 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1690 +[2025-02-27 04:04:24,983 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0275 +[2025-02-27 04:04:25,043 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0382 +[2025-02-27 04:04:25,076 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6328 +[2025-02-27 04:04:25,131 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7997 +[2025-02-27 04:04:25,157 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.8994 +[2025-02-27 04:04:25,194 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.2357 +[2025-02-27 04:04:25,231 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.1711 +[2025-02-27 04:04:25,263 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.4171 +[2025-02-27 04:04:25,292 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4200 +[2025-02-27 04:04:25,343 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.0010 +[2025-02-27 04:04:25,386 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3484 +[2025-02-27 04:04:25,436 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.9662 +[2025-02-27 04:04:25,481 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.0413 +[2025-02-27 04:04:25,521 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2506 +[2025-02-27 04:04:25,567 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5303 +[2025-02-27 04:04:25,594 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2865 +[2025-02-27 04:04:25,645 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.2456 +[2025-02-27 04:04:25,670 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6859 +[2025-02-27 04:04:27,032 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:04:27,033 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:04:27,033 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] wall : 0.6740 0.7632 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] floor : 0.9352 0.9828 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] cabinet : 0.3017 0.6532 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] bed : 0.5503 0.5780 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] chair : 0.7956 0.8975 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] sofa : 0.6422 0.7831 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] table : 0.5872 0.7220 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] door : 0.3582 0.4845 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] window : 0.2280 0.2594 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] bookshelf : 0.3513 0.9465 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] picture : 0.1260 0.1636 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] counter : 0.4580 0.5562 +[2025-02-27 04:04:27,033 INFO hook.py line 232 1688082] desk : 0.3412 0.4453 +[2025-02-27 04:04:27,034 INFO hook.py line 232 1688082] curtain : 0.2069 0.2093 +[2025-02-27 04:04:27,034 INFO hook.py line 232 1688082] refridgerator : 0.2164 0.4960 +[2025-02-27 04:04:27,034 INFO hook.py line 232 1688082] shower curtain : 0.3361 0.5905 +[2025-02-27 04:04:27,034 INFO hook.py line 232 1688082] toilet : 0.5105 0.9388 +[2025-02-27 04:04:27,034 INFO hook.py line 232 1688082] sink : 0.4605 0.5951 +[2025-02-27 04:04:27,034 INFO hook.py line 232 1688082] bathtub : 0.4793 0.8481 +[2025-02-27 04:04:27,034 INFO hook.py line 232 1688082] otherfurniture : 0.2591 0.3679 +[2025-02-27 04:04:27,034 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:04:27,034 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4409/0.6140/0.7624. +[2025-02-27 04:04:27,034 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:04:27,050 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4840 +[2025-02-27 04:04:27,050 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:04:48,621 INFO hook.py line 109 1688082] Train: [14/100][50/300] Data 0.002 (0.005) Batch 0.299 (0.319) Remain 02:18:37 loss: 0.7846 Lr: 5.89118e-03 +[2025-02-27 04:05:02,717 INFO hook.py line 109 1688082] Train: [14/100][100/300] Data 0.002 (0.005) Batch 0.265 (0.300) Remain 02:10:00 loss: 0.8823 Lr: 5.88673e-03 +[2025-02-27 04:05:16,748 INFO hook.py line 109 1688082] Train: [14/100][150/300] Data 0.003 (0.004) Batch 0.262 (0.293) Remain 02:06:54 loss: 0.8579 Lr: 5.88218e-03 +[2025-02-27 04:05:31,401 INFO hook.py line 109 1688082] Train: [14/100][200/300] Data 0.007 (0.005) Batch 0.296 (0.293) Remain 02:06:37 loss: 0.7945 Lr: 5.87764e-03 +[2025-02-27 04:05:45,748 INFO hook.py line 109 1688082] Train: [14/100][250/300] Data 0.003 (0.005) Batch 0.295 (0.292) Remain 02:05:49 loss: 0.9543 Lr: 5.87293e-03 +[2025-02-27 04:05:57,362 INFO hook.py line 109 1688082] Train: [14/100][300/300] Data 0.002 (0.004) Batch 0.210 (0.282) Remain 02:01:14 loss: 1.7294 Lr: 5.86812e-03 +[2025-02-27 04:05:57,362 INFO misc.py line 135 1688082] Train result: loss: 1.0275 +[2025-02-27 04:05:57,462 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:06:14,873 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5004 +[2025-02-27 04:06:15,040 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1521 +[2025-02-27 04:06:15,306 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.1941 +[2025-02-27 04:06:15,649 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7309 +[2025-02-27 04:06:15,684 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.1100 +[2025-02-27 04:06:15,735 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7565 +[2025-02-27 04:06:15,786 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0540 +[2025-02-27 04:06:15,867 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6427 +[2025-02-27 04:06:16,126 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2273 +[2025-02-27 04:06:16,156 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4168 +[2025-02-27 04:06:16,201 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8427 +[2025-02-27 04:06:16,239 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.8996 +[2025-02-27 04:06:16,288 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3083 +[2025-02-27 04:06:16,323 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1299 +[2025-02-27 04:06:16,357 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0778 +[2025-02-27 04:06:16,399 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3410 +[2025-02-27 04:06:16,443 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0856 +[2025-02-27 04:06:16,484 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.7585 +[2025-02-27 04:06:16,531 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1116 +[2025-02-27 04:06:16,562 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0026 +[2025-02-27 04:06:16,601 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4048 +[2025-02-27 04:06:16,647 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8354 +[2025-02-27 04:06:16,684 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1874 +[2025-02-27 04:06:16,732 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.5230 +[2025-02-27 04:06:16,771 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.9684 +[2025-02-27 04:06:16,816 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9002 +[2025-02-27 04:06:16,863 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6749 +[2025-02-27 04:06:16,901 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.2026 +[2025-02-27 04:06:16,930 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5106 +[2025-02-27 04:06:16,983 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8473 +[2025-02-27 04:06:17,036 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6077 +[2025-02-27 04:06:17,070 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8463 +[2025-02-27 04:06:17,129 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4699 +[2025-02-27 04:06:17,164 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.5373 +[2025-02-27 04:06:17,200 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6143 +[2025-02-27 04:06:17,243 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3109 +[2025-02-27 04:06:17,279 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7195 +[2025-02-27 04:06:17,312 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3986 +[2025-02-27 04:06:17,368 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1736 +[2025-02-27 04:06:17,411 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9593 +[2025-02-27 04:06:17,452 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2516 +[2025-02-27 04:06:17,480 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4424 +[2025-02-27 04:06:17,523 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6621 +[2025-02-27 04:06:17,580 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9997 +[2025-02-27 04:06:17,608 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8556 +[2025-02-27 04:06:17,651 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8135 +[2025-02-27 04:06:17,686 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.6161 +[2025-02-27 04:06:17,718 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.2178 +[2025-02-27 04:06:17,748 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6498 +[2025-02-27 04:06:17,778 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3765 +[2025-02-27 04:06:17,805 INFO hook.py line 289 1688082] Test: [51/78] Loss 2.6385 +[2025-02-27 04:06:17,836 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5776 +[2025-02-27 04:06:17,861 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5491 +[2025-02-27 04:06:17,894 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2955 +[2025-02-27 04:06:17,929 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2333 +[2025-02-27 04:06:17,967 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4184 +[2025-02-27 04:06:17,997 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1402 +[2025-02-27 04:06:18,023 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0499 +[2025-02-27 04:06:18,059 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0548 +[2025-02-27 04:06:18,090 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1095 +[2025-02-27 04:06:18,114 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2978 +[2025-02-27 04:06:18,147 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9090 +[2025-02-27 04:06:18,181 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3170 +[2025-02-27 04:06:18,234 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.5396 +[2025-02-27 04:06:18,269 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.5064 +[2025-02-27 04:06:18,307 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.4390 +[2025-02-27 04:06:18,344 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.2992 +[2025-02-27 04:06:18,385 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.4274 +[2025-02-27 04:06:18,414 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4032 +[2025-02-27 04:06:18,465 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.0248 +[2025-02-27 04:06:18,506 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.7376 +[2025-02-27 04:06:18,555 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6210 +[2025-02-27 04:06:18,603 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9925 +[2025-02-27 04:06:18,640 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1368 +[2025-02-27 04:06:18,686 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8132 +[2025-02-27 04:06:18,714 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2341 +[2025-02-27 04:06:18,765 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6853 +[2025-02-27 04:06:18,790 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7103 +[2025-02-27 04:06:19,945 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:06:19,945 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:06:19,945 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:06:19,945 INFO hook.py line 232 1688082] wall : 0.7237 0.8572 +[2025-02-27 04:06:19,945 INFO hook.py line 232 1688082] floor : 0.9431 0.9887 +[2025-02-27 04:06:19,945 INFO hook.py line 232 1688082] cabinet : 0.3869 0.5178 +[2025-02-27 04:06:19,945 INFO hook.py line 232 1688082] bed : 0.5429 0.7871 +[2025-02-27 04:06:19,945 INFO hook.py line 232 1688082] chair : 0.7644 0.8237 +[2025-02-27 04:06:19,945 INFO hook.py line 232 1688082] sofa : 0.5973 0.6900 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] table : 0.5425 0.7385 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] door : 0.2953 0.3528 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] window : 0.4111 0.5830 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] bookshelf : 0.5853 0.8035 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] picture : 0.0888 0.2613 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] counter : 0.3950 0.6651 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] desk : 0.3454 0.5245 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] curtain : 0.3071 0.3297 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] refridgerator : 0.2323 0.4087 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] shower curtain : 0.4618 0.5748 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] toilet : 0.2928 0.9678 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] sink : 0.4174 0.7397 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] bathtub : 0.6945 0.8230 +[2025-02-27 04:06:19,946 INFO hook.py line 232 1688082] otherfurniture : 0.2967 0.4031 +[2025-02-27 04:06:19,946 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:06:19,947 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4662/0.6420/0.7917. +[2025-02-27 04:06:19,947 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:06:19,964 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4840 +[2025-02-27 04:06:19,964 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:06:41,198 INFO hook.py line 109 1688082] Train: [15/100][50/300] Data 0.002 (0.006) Batch 0.334 (0.296) Remain 02:07:12 loss: 0.8871 Lr: 5.86323e-03 +[2025-02-27 04:06:55,419 INFO hook.py line 109 1688082] Train: [15/100][100/300] Data 0.005 (0.005) Batch 0.262 (0.290) Remain 02:04:20 loss: 0.7143 Lr: 5.85825e-03 +[2025-02-27 04:07:10,035 INFO hook.py line 109 1688082] Train: [15/100][150/300] Data 0.004 (0.005) Batch 0.319 (0.291) Remain 02:04:24 loss: 1.1332 Lr: 5.85318e-03 +[2025-02-27 04:07:24,497 INFO hook.py line 109 1688082] Train: [15/100][200/300] Data 0.003 (0.005) Batch 0.259 (0.291) Remain 02:03:58 loss: 0.8195 Lr: 5.84803e-03 +[2025-02-27 04:07:39,003 INFO hook.py line 109 1688082] Train: [15/100][250/300] Data 0.003 (0.005) Batch 0.283 (0.290) Remain 02:03:41 loss: 1.2519 Lr: 5.84279e-03 +[2025-02-27 04:07:50,612 INFO hook.py line 109 1688082] Train: [15/100][300/300] Data 0.001 (0.004) Batch 0.201 (0.281) Remain 01:59:16 loss: 0.7301 Lr: 5.83747e-03 +[2025-02-27 04:07:50,613 INFO misc.py line 135 1688082] Train result: loss: 0.9898 +[2025-02-27 04:07:50,712 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:08:08,330 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4649 +[2025-02-27 04:08:08,369 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2659 +[2025-02-27 04:08:08,509 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9028 +[2025-02-27 04:08:08,556 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8287 +[2025-02-27 04:08:08,697 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7833 +[2025-02-27 04:08:08,753 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1945 +[2025-02-27 04:08:09,130 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0857 +[2025-02-27 04:08:09,157 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3657 +[2025-02-27 04:08:09,203 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2678 +[2025-02-27 04:08:09,241 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3398 +[2025-02-27 04:08:09,284 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8948 +[2025-02-27 04:08:09,323 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2068 +[2025-02-27 04:08:09,390 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5586 +[2025-02-27 04:08:09,429 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4661 +[2025-02-27 04:08:09,466 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.5693 +[2025-02-27 04:08:09,508 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.7293 +[2025-02-27 04:08:09,554 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0968 +[2025-02-27 04:08:09,589 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.7137 +[2025-02-27 04:08:09,632 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3543 +[2025-02-27 04:08:09,670 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2859 +[2025-02-27 04:08:09,703 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3719 +[2025-02-27 04:08:09,743 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5584 +[2025-02-27 04:08:09,779 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.4237 +[2025-02-27 04:08:09,820 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.6346 +[2025-02-27 04:08:09,861 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1472 +[2025-02-27 04:08:09,909 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0563 +[2025-02-27 04:08:09,957 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3233 +[2025-02-27 04:08:09,995 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8219 +[2025-02-27 04:08:10,030 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4183 +[2025-02-27 04:08:10,084 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8082 +[2025-02-27 04:08:10,137 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7928 +[2025-02-27 04:08:10,168 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9793 +[2025-02-27 04:08:10,218 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.6045 +[2025-02-27 04:08:10,261 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1272 +[2025-02-27 04:08:10,301 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7924 +[2025-02-27 04:08:10,343 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.8311 +[2025-02-27 04:08:10,377 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6456 +[2025-02-27 04:08:10,406 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5762 +[2025-02-27 04:08:10,461 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8483 +[2025-02-27 04:08:10,506 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7980 +[2025-02-27 04:08:10,551 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0824 +[2025-02-27 04:08:10,585 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4937 +[2025-02-27 04:08:10,624 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6767 +[2025-02-27 04:08:10,677 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6852 +[2025-02-27 04:08:10,706 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.7953 +[2025-02-27 04:08:10,748 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.7689 +[2025-02-27 04:08:10,784 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.4990 +[2025-02-27 04:08:10,815 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.2034 +[2025-02-27 04:08:10,848 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1024 +[2025-02-27 04:08:10,878 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5434 +[2025-02-27 04:08:10,905 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.5227 +[2025-02-27 04:08:10,936 INFO hook.py line 289 1688082] Test: [52/78] Loss 2.0683 +[2025-02-27 04:08:10,960 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6598 +[2025-02-27 04:08:10,993 INFO hook.py line 289 1688082] Test: [54/78] Loss 3.2991 +[2025-02-27 04:08:11,027 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2198 +[2025-02-27 04:08:11,066 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4974 +[2025-02-27 04:08:11,098 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.5462 +[2025-02-27 04:08:11,124 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9168 +[2025-02-27 04:08:11,161 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2951 +[2025-02-27 04:08:11,191 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.8776 +[2025-02-27 04:08:11,215 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1997 +[2025-02-27 04:08:11,246 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8997 +[2025-02-27 04:08:11,280 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5808 +[2025-02-27 04:08:11,334 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7243 +[2025-02-27 04:08:11,360 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.8449 +[2025-02-27 04:08:11,399 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.5007 +[2025-02-27 04:08:11,436 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.5108 +[2025-02-27 04:08:11,466 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5649 +[2025-02-27 04:08:11,495 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3405 +[2025-02-27 04:08:11,546 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2410 +[2025-02-27 04:08:11,587 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6179 +[2025-02-27 04:08:11,635 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4993 +[2025-02-27 04:08:11,680 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9045 +[2025-02-27 04:08:11,719 INFO hook.py line 289 1688082] Test: [74/78] Loss 3.4018 +[2025-02-27 04:08:11,764 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.9219 +[2025-02-27 04:08:11,792 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.6909 +[2025-02-27 04:08:11,842 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4490 +[2025-02-27 04:08:11,868 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7149 +[2025-02-27 04:08:13,252 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:08:13,252 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:08:13,252 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] wall : 0.7408 0.9110 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] floor : 0.9442 0.9742 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] cabinet : 0.3922 0.5130 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] bed : 0.3131 0.3210 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] chair : 0.7611 0.8483 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] sofa : 0.6387 0.7218 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] table : 0.5340 0.8208 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] door : 0.3880 0.5986 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] window : 0.3646 0.5049 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] bookshelf : 0.5231 0.7098 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] picture : 0.1256 0.1891 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] counter : 0.4908 0.6259 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] desk : 0.1618 0.1803 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] curtain : 0.3990 0.4333 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] refridgerator : 0.3303 0.4365 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] shower curtain : 0.4916 0.5975 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] toilet : 0.1980 0.9642 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] sink : 0.3035 0.6482 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] bathtub : 0.5202 0.7823 +[2025-02-27 04:08:13,253 INFO hook.py line 232 1688082] otherfurniture : 0.2519 0.2992 +[2025-02-27 04:08:13,253 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:08:13,253 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4436/0.6040/0.7933. +[2025-02-27 04:08:13,254 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:08:13,271 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4840 +[2025-02-27 04:08:13,272 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:08:35,156 INFO hook.py line 109 1688082] Train: [16/100][50/300] Data 0.003 (0.025) Batch 0.251 (0.312) Remain 02:12:29 loss: 1.1108 Lr: 5.83206e-03 +[2025-02-27 04:08:49,509 INFO hook.py line 109 1688082] Train: [16/100][100/300] Data 0.004 (0.015) Batch 0.284 (0.299) Remain 02:06:42 loss: 0.8424 Lr: 5.82656e-03 +[2025-02-27 04:09:03,765 INFO hook.py line 109 1688082] Train: [16/100][150/300] Data 0.004 (0.011) Batch 0.259 (0.294) Remain 02:04:25 loss: 0.8621 Lr: 5.82098e-03 +[2025-02-27 04:09:18,098 INFO hook.py line 109 1688082] Train: [16/100][200/300] Data 0.003 (0.009) Batch 0.308 (0.292) Remain 02:03:20 loss: 1.0458 Lr: 5.81531e-03 +[2025-02-27 04:09:32,582 INFO hook.py line 109 1688082] Train: [16/100][250/300] Data 0.010 (0.009) Batch 0.278 (0.292) Remain 02:02:51 loss: 0.9023 Lr: 5.80955e-03 +[2025-02-27 04:09:44,415 INFO hook.py line 109 1688082] Train: [16/100][300/300] Data 0.002 (0.007) Batch 0.195 (0.283) Remain 01:58:42 loss: 1.1014 Lr: 5.80371e-03 +[2025-02-27 04:09:44,417 INFO misc.py line 135 1688082] Train result: loss: 0.9606 +[2025-02-27 04:09:44,530 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:10:01,372 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.8150 +[2025-02-27 04:10:01,807 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0623 +[2025-02-27 04:10:01,845 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9149 +[2025-02-27 04:10:02,205 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7540 +[2025-02-27 04:10:02,240 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8898 +[2025-02-27 04:10:02,294 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7547 +[2025-02-27 04:10:02,366 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1374 +[2025-02-27 04:10:02,403 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5301 +[2025-02-27 04:10:02,451 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1295 +[2025-02-27 04:10:02,489 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1677 +[2025-02-27 04:10:02,534 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9850 +[2025-02-27 04:10:02,565 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1608 +[2025-02-27 04:10:02,612 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3598 +[2025-02-27 04:10:02,901 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.9143 +[2025-02-27 04:10:02,936 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.7247 +[2025-02-27 04:10:02,983 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.8147 +[2025-02-27 04:10:03,021 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.7336 +[2025-02-27 04:10:03,052 INFO hook.py line 289 1688082] Test: [18/78] Loss 2.2618 +[2025-02-27 04:10:03,092 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6859 +[2025-02-27 04:10:03,134 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0215 +[2025-02-27 04:10:03,168 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5455 +[2025-02-27 04:10:03,212 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8307 +[2025-02-27 04:10:03,247 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.3158 +[2025-02-27 04:10:03,294 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2502 +[2025-02-27 04:10:03,334 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0723 +[2025-02-27 04:10:03,377 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0540 +[2025-02-27 04:10:03,424 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.0736 +[2025-02-27 04:10:03,455 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.5297 +[2025-02-27 04:10:03,481 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5273 +[2025-02-27 04:10:03,533 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7534 +[2025-02-27 04:10:03,586 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.1081 +[2025-02-27 04:10:03,620 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.6513 +[2025-02-27 04:10:03,671 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4439 +[2025-02-27 04:10:03,707 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.0953 +[2025-02-27 04:10:03,742 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5146 +[2025-02-27 04:10:03,781 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0794 +[2025-02-27 04:10:03,815 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6981 +[2025-02-27 04:10:03,850 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6138 +[2025-02-27 04:10:03,906 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5894 +[2025-02-27 04:10:03,956 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1322 +[2025-02-27 04:10:03,996 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.4091 +[2025-02-27 04:10:04,024 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4197 +[2025-02-27 04:10:04,058 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7606 +[2025-02-27 04:10:04,112 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7681 +[2025-02-27 04:10:04,141 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8935 +[2025-02-27 04:10:04,189 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.7913 +[2025-02-27 04:10:04,224 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2482 +[2025-02-27 04:10:04,253 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.0215 +[2025-02-27 04:10:04,283 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8706 +[2025-02-27 04:10:04,311 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1517 +[2025-02-27 04:10:04,338 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.9474 +[2025-02-27 04:10:04,371 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4396 +[2025-02-27 04:10:04,395 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4798 +[2025-02-27 04:10:04,428 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.0476 +[2025-02-27 04:10:04,462 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2983 +[2025-02-27 04:10:04,500 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4278 +[2025-02-27 04:10:04,531 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2168 +[2025-02-27 04:10:04,556 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1246 +[2025-02-27 04:10:04,591 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0182 +[2025-02-27 04:10:04,624 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0283 +[2025-02-27 04:10:04,650 INFO hook.py line 289 1688082] Test: [61/78] Loss 2.1301 +[2025-02-27 04:10:04,683 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.2001 +[2025-02-27 04:10:04,716 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6339 +[2025-02-27 04:10:04,770 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7012 +[2025-02-27 04:10:04,798 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.9046 +[2025-02-27 04:10:04,835 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.2374 +[2025-02-27 04:10:04,871 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.4814 +[2025-02-27 04:10:04,905 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0518 +[2025-02-27 04:10:04,933 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4860 +[2025-02-27 04:10:04,985 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2996 +[2025-02-27 04:10:05,026 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3620 +[2025-02-27 04:10:05,075 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6248 +[2025-02-27 04:10:05,123 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9549 +[2025-02-27 04:10:05,160 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.7694 +[2025-02-27 04:10:05,206 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6659 +[2025-02-27 04:10:05,234 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4325 +[2025-02-27 04:10:05,286 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.9735 +[2025-02-27 04:10:05,311 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6908 +[2025-02-27 04:10:06,728 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:10:06,729 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:10:06,729 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] wall : 0.7044 0.8149 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] floor : 0.9456 0.9827 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] cabinet : 0.3691 0.4488 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] bed : 0.6000 0.7073 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] chair : 0.7362 0.7675 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] sofa : 0.6631 0.8628 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] table : 0.4607 0.8392 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] door : 0.3805 0.7050 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] window : 0.2728 0.3249 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] bookshelf : 0.5971 0.6951 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] picture : 0.1027 0.1255 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] counter : 0.4501 0.6501 +[2025-02-27 04:10:06,729 INFO hook.py line 232 1688082] desk : 0.2608 0.4725 +[2025-02-27 04:10:06,730 INFO hook.py line 232 1688082] curtain : 0.2349 0.2435 +[2025-02-27 04:10:06,730 INFO hook.py line 232 1688082] refridgerator : 0.2454 0.4847 +[2025-02-27 04:10:06,730 INFO hook.py line 232 1688082] shower curtain : 0.2971 0.3297 +[2025-02-27 04:10:06,730 INFO hook.py line 232 1688082] toilet : 0.5772 0.9496 +[2025-02-27 04:10:06,730 INFO hook.py line 232 1688082] sink : 0.5052 0.6872 +[2025-02-27 04:10:06,730 INFO hook.py line 232 1688082] bathtub : 0.7693 0.7992 +[2025-02-27 04:10:06,730 INFO hook.py line 232 1688082] otherfurniture : 0.2861 0.4802 +[2025-02-27 04:10:06,730 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:10:06,730 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4729/0.6185/0.7788. +[2025-02-27 04:10:06,731 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:10:06,747 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4840 +[2025-02-27 04:10:06,748 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:10:28,753 INFO hook.py line 109 1688082] Train: [17/100][50/300] Data 0.003 (0.005) Batch 0.278 (0.297) Remain 02:04:30 loss: 0.6852 Lr: 5.79779e-03 +[2025-02-27 04:10:42,879 INFO hook.py line 109 1688082] Train: [17/100][100/300] Data 0.009 (0.005) Batch 0.244 (0.290) Remain 02:01:08 loss: 0.5585 Lr: 5.79178e-03 +[2025-02-27 04:10:56,931 INFO hook.py line 109 1688082] Train: [17/100][150/300] Data 0.008 (0.005) Batch 0.262 (0.287) Remain 01:59:40 loss: 1.0355 Lr: 5.78568e-03 +[2025-02-27 04:11:11,239 INFO hook.py line 109 1688082] Train: [17/100][200/300] Data 0.005 (0.004) Batch 0.250 (0.287) Remain 01:59:23 loss: 0.8078 Lr: 5.77950e-03 +[2025-02-27 04:11:25,441 INFO hook.py line 109 1688082] Train: [17/100][250/300] Data 0.009 (0.004) Batch 0.286 (0.286) Remain 01:58:55 loss: 0.8337 Lr: 5.77324e-03 +[2025-02-27 04:11:37,677 INFO hook.py line 109 1688082] Train: [17/100][300/300] Data 0.002 (0.004) Batch 0.364 (0.279) Remain 01:55:49 loss: 1.0971 Lr: 5.76689e-03 +[2025-02-27 04:11:37,677 INFO misc.py line 135 1688082] Train result: loss: 0.9334 +[2025-02-27 04:11:37,774 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:11:53,926 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5930 +[2025-02-27 04:11:54,746 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8002 +[2025-02-27 04:11:54,862 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5969 +[2025-02-27 04:11:55,185 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5870 +[2025-02-27 04:11:55,215 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9413 +[2025-02-27 04:11:55,263 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5908 +[2025-02-27 04:11:55,317 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8527 +[2025-02-27 04:11:55,356 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5321 +[2025-02-27 04:11:55,398 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4027 +[2025-02-27 04:11:55,434 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.0461 +[2025-02-27 04:11:55,492 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8206 +[2025-02-27 04:11:55,627 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3324 +[2025-02-27 04:11:55,678 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9622 +[2025-02-27 04:11:55,724 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.9933 +[2025-02-27 04:11:55,768 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.4858 +[2025-02-27 04:11:55,809 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.0209 +[2025-02-27 04:11:55,847 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.2969 +[2025-02-27 04:11:55,881 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.7434 +[2025-02-27 04:11:55,924 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.8661 +[2025-02-27 04:11:55,965 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.3314 +[2025-02-27 04:11:56,005 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5428 +[2025-02-27 04:11:56,042 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5756 +[2025-02-27 04:11:56,070 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0299 +[2025-02-27 04:11:56,112 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0319 +[2025-02-27 04:11:56,156 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1080 +[2025-02-27 04:11:56,199 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9920 +[2025-02-27 04:11:56,245 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9021 +[2025-02-27 04:11:56,283 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8755 +[2025-02-27 04:11:56,321 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.6299 +[2025-02-27 04:11:56,375 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7130 +[2025-02-27 04:11:56,430 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.1124 +[2025-02-27 04:11:56,467 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.4315 +[2025-02-27 04:11:56,516 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.5176 +[2025-02-27 04:11:56,551 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2897 +[2025-02-27 04:11:56,585 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5515 +[2025-02-27 04:11:56,620 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0098 +[2025-02-27 04:11:56,659 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7694 +[2025-02-27 04:11:56,698 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6107 +[2025-02-27 04:11:56,754 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7324 +[2025-02-27 04:11:56,799 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2060 +[2025-02-27 04:11:56,839 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.5646 +[2025-02-27 04:11:56,864 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4999 +[2025-02-27 04:11:56,898 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7334 +[2025-02-27 04:11:56,950 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9636 +[2025-02-27 04:11:56,983 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8264 +[2025-02-27 04:11:57,036 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9838 +[2025-02-27 04:11:57,076 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0357 +[2025-02-27 04:11:57,107 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.2490 +[2025-02-27 04:11:57,138 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8996 +[2025-02-27 04:11:57,176 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4388 +[2025-02-27 04:11:57,207 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2877 +[2025-02-27 04:11:57,240 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.7277 +[2025-02-27 04:11:57,268 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5600 +[2025-02-27 04:11:57,305 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.9985 +[2025-02-27 04:11:57,338 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.4158 +[2025-02-27 04:11:57,379 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5657 +[2025-02-27 04:11:57,410 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9928 +[2025-02-27 04:11:57,436 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3630 +[2025-02-27 04:11:57,473 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1181 +[2025-02-27 04:11:57,504 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1528 +[2025-02-27 04:11:57,527 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.3624 +[2025-02-27 04:11:57,558 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1800 +[2025-02-27 04:11:57,592 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6166 +[2025-02-27 04:11:57,646 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8890 +[2025-02-27 04:11:57,671 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3722 +[2025-02-27 04:11:57,709 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8357 +[2025-02-27 04:11:57,747 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.0116 +[2025-02-27 04:11:57,778 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2857 +[2025-02-27 04:11:57,807 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4072 +[2025-02-27 04:11:57,858 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5619 +[2025-02-27 04:11:57,898 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.7312 +[2025-02-27 04:11:57,947 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6264 +[2025-02-27 04:11:57,992 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.1113 +[2025-02-27 04:11:58,030 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.6867 +[2025-02-27 04:11:58,076 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8922 +[2025-02-27 04:11:58,103 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0704 +[2025-02-27 04:11:58,154 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.0924 +[2025-02-27 04:11:58,180 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8017 +[2025-02-27 04:11:59,523 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:11:59,524 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:11:59,524 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] wall : 0.6883 0.7946 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] floor : 0.9472 0.9801 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] cabinet : 0.4156 0.6084 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] bed : 0.5410 0.5930 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] chair : 0.7438 0.7658 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] sofa : 0.6436 0.9149 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] table : 0.4981 0.5741 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] door : 0.3361 0.7077 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] window : 0.3624 0.5624 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] bookshelf : 0.5712 0.6024 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] picture : 0.1053 0.1221 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] counter : 0.4675 0.6703 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] desk : 0.3859 0.6559 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] curtain : 0.4517 0.5525 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] refridgerator : 0.2935 0.3699 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] shower curtain : 0.2681 0.5408 +[2025-02-27 04:11:59,524 INFO hook.py line 232 1688082] toilet : 0.7170 0.8302 +[2025-02-27 04:11:59,525 INFO hook.py line 232 1688082] sink : 0.4833 0.6692 +[2025-02-27 04:11:59,525 INFO hook.py line 232 1688082] bathtub : 0.5069 0.8098 +[2025-02-27 04:11:59,525 INFO hook.py line 232 1688082] otherfurniture : 0.3094 0.5155 +[2025-02-27 04:11:59,525 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:11:59,525 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4868/0.6420/0.7804. +[2025-02-27 04:11:59,525 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:11:59,541 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.4868 +[2025-02-27 04:11:59,541 INFO misc.py line 164 1688082] Currently Best mIoU: 0.4868 +[2025-02-27 04:11:59,541 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:12:21,001 INFO hook.py line 109 1688082] Train: [18/100][50/300] Data 0.003 (0.005) Batch 0.290 (0.288) Remain 01:59:23 loss: 0.9628 Lr: 5.76046e-03 +[2025-02-27 04:12:35,169 INFO hook.py line 109 1688082] Train: [18/100][100/300] Data 0.004 (0.005) Batch 0.295 (0.286) Remain 01:58:06 loss: 0.7866 Lr: 5.75394e-03 +[2025-02-27 04:12:49,388 INFO hook.py line 109 1688082] Train: [18/100][150/300] Data 0.003 (0.004) Batch 0.344 (0.285) Remain 01:57:40 loss: 0.8511 Lr: 5.74735e-03 +[2025-02-27 04:13:03,793 INFO hook.py line 109 1688082] Train: [18/100][200/300] Data 0.004 (0.005) Batch 0.301 (0.286) Remain 01:57:44 loss: 1.0167 Lr: 5.74066e-03 +[2025-02-27 04:13:17,869 INFO hook.py line 109 1688082] Train: [18/100][250/300] Data 0.008 (0.005) Batch 0.271 (0.285) Remain 01:57:07 loss: 0.8057 Lr: 5.73390e-03 +[2025-02-27 04:13:29,517 INFO hook.py line 109 1688082] Train: [18/100][300/300] Data 0.001 (0.004) Batch 0.189 (0.276) Remain 01:53:17 loss: 0.8605 Lr: 5.72705e-03 +[2025-02-27 04:13:29,518 INFO misc.py line 135 1688082] Train result: loss: 0.9227 +[2025-02-27 04:13:29,617 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:13:47,801 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.7650 +[2025-02-27 04:13:47,847 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9301 +[2025-02-27 04:13:47,881 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5856 +[2025-02-27 04:13:47,925 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5146 +[2025-02-27 04:13:47,955 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6630 +[2025-02-27 04:13:48,008 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6705 +[2025-02-27 04:13:48,056 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9865 +[2025-02-27 04:13:48,087 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5386 +[2025-02-27 04:13:48,137 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2962 +[2025-02-27 04:13:48,173 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.9886 +[2025-02-27 04:13:48,218 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6793 +[2025-02-27 04:13:48,251 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0905 +[2025-02-27 04:13:48,296 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5952 +[2025-02-27 04:13:48,333 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0870 +[2025-02-27 04:13:48,369 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7311 +[2025-02-27 04:13:48,411 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.5067 +[2025-02-27 04:13:48,448 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0863 +[2025-02-27 04:13:48,486 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2477 +[2025-02-27 04:13:48,529 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4353 +[2025-02-27 04:13:48,562 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1361 +[2025-02-27 04:13:48,602 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4251 +[2025-02-27 04:13:48,641 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8821 +[2025-02-27 04:13:48,677 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1670 +[2025-02-27 04:13:48,724 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.8756 +[2025-02-27 04:13:48,764 INFO hook.py line 289 1688082] Test: [25/78] Loss 0.8992 +[2025-02-27 04:13:48,801 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8246 +[2025-02-27 04:13:48,847 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9700 +[2025-02-27 04:13:48,878 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6954 +[2025-02-27 04:13:48,910 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5559 +[2025-02-27 04:13:48,961 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7316 +[2025-02-27 04:13:49,013 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6306 +[2025-02-27 04:13:49,052 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.1060 +[2025-02-27 04:13:49,102 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4535 +[2025-02-27 04:13:49,141 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2973 +[2025-02-27 04:13:49,176 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7395 +[2025-02-27 04:13:49,212 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1298 +[2025-02-27 04:13:49,245 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6659 +[2025-02-27 04:13:49,279 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6987 +[2025-02-27 04:13:49,340 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9178 +[2025-02-27 04:13:49,383 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.3700 +[2025-02-27 04:13:49,429 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2725 +[2025-02-27 04:13:49,465 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3210 +[2025-02-27 04:13:49,500 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8824 +[2025-02-27 04:13:49,550 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9970 +[2025-02-27 04:13:49,585 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0518 +[2025-02-27 04:13:49,633 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.6071 +[2025-02-27 04:13:49,671 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1555 +[2025-02-27 04:13:49,702 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.6815 +[2025-02-27 04:13:49,735 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.5530 +[2025-02-27 04:13:49,768 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3463 +[2025-02-27 04:13:49,796 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4101 +[2025-02-27 04:13:49,842 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5091 +[2025-02-27 04:13:49,869 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5169 +[2025-02-27 04:13:49,904 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2085 +[2025-02-27 04:13:49,942 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1875 +[2025-02-27 04:13:49,980 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5015 +[2025-02-27 04:13:50,014 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2930 +[2025-02-27 04:13:50,043 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.2114 +[2025-02-27 04:13:50,082 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0445 +[2025-02-27 04:13:50,117 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0375 +[2025-02-27 04:13:50,144 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9870 +[2025-02-27 04:13:50,175 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9634 +[2025-02-27 04:13:50,212 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4792 +[2025-02-27 04:13:50,267 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.4598 +[2025-02-27 04:13:50,294 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.7521 +[2025-02-27 04:13:50,336 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0399 +[2025-02-27 04:13:50,376 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.1289 +[2025-02-27 04:13:50,409 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0419 +[2025-02-27 04:13:50,442 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3376 +[2025-02-27 04:13:50,496 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4021 +[2025-02-27 04:13:50,539 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5366 +[2025-02-27 04:13:50,590 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5325 +[2025-02-27 04:13:50,635 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7255 +[2025-02-27 04:13:50,677 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.9653 +[2025-02-27 04:13:50,724 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6918 +[2025-02-27 04:13:50,754 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2682 +[2025-02-27 04:13:50,805 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5444 +[2025-02-27 04:13:50,834 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.4969 +[2025-02-27 04:13:52,137 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:13:52,138 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:13:52,138 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] wall : 0.7174 0.8900 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] floor : 0.9464 0.9753 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] cabinet : 0.3522 0.3934 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] bed : 0.6301 0.7508 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] chair : 0.7899 0.8442 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] sofa : 0.6627 0.9176 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] table : 0.5870 0.6944 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] door : 0.3845 0.4983 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] window : 0.3970 0.6286 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] bookshelf : 0.6026 0.6574 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] picture : 0.1333 0.3738 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] counter : 0.4638 0.6934 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] desk : 0.4191 0.6173 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] curtain : 0.4482 0.5379 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] refridgerator : 0.1866 0.1892 +[2025-02-27 04:13:52,138 INFO hook.py line 232 1688082] shower curtain : 0.2839 0.2971 +[2025-02-27 04:13:52,139 INFO hook.py line 232 1688082] toilet : 0.6797 0.7024 +[2025-02-27 04:13:52,139 INFO hook.py line 232 1688082] sink : 0.4660 0.5333 +[2025-02-27 04:13:52,139 INFO hook.py line 232 1688082] bathtub : 0.7060 0.7712 +[2025-02-27 04:13:52,139 INFO hook.py line 232 1688082] otherfurniture : 0.3501 0.5078 +[2025-02-27 04:13:52,139 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:13:52,139 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5103/0.6237/0.8072. +[2025-02-27 04:13:52,139 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:13:52,156 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5103 +[2025-02-27 04:13:52,156 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5103 +[2025-02-27 04:13:52,156 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:14:13,873 INFO hook.py line 109 1688082] Train: [19/100][50/300] Data 0.004 (0.025) Batch 0.292 (0.305) Remain 02:04:40 loss: 0.5897 Lr: 5.72011e-03 +[2025-02-27 04:14:27,928 INFO hook.py line 109 1688082] Train: [19/100][100/300] Data 0.002 (0.015) Batch 0.268 (0.293) Remain 01:59:26 loss: 0.6744 Lr: 5.71310e-03 +[2025-02-27 04:14:42,371 INFO hook.py line 109 1688082] Train: [19/100][150/300] Data 0.003 (0.011) Batch 0.316 (0.291) Remain 01:58:42 loss: 1.0403 Lr: 5.70600e-03 +[2025-02-27 04:14:56,181 INFO hook.py line 109 1688082] Train: [19/100][200/300] Data 0.004 (0.010) Batch 0.268 (0.287) Remain 01:56:53 loss: 0.9364 Lr: 5.69882e-03 +[2025-02-27 04:15:10,769 INFO hook.py line 109 1688082] Train: [19/100][250/300] Data 0.004 (0.009) Batch 0.293 (0.288) Remain 01:57:00 loss: 1.3663 Lr: 5.69156e-03 +[2025-02-27 04:15:22,696 INFO hook.py line 109 1688082] Train: [19/100][300/300] Data 0.001 (0.008) Batch 0.192 (0.280) Remain 01:53:22 loss: 0.7517 Lr: 5.68422e-03 +[2025-02-27 04:15:22,697 INFO misc.py line 135 1688082] Train result: loss: 0.9043 +[2025-02-27 04:15:22,786 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:15:39,635 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4963 +[2025-02-27 04:15:40,402 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8997 +[2025-02-27 04:15:41,355 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7836 +[2025-02-27 04:15:41,398 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8091 +[2025-02-27 04:15:41,435 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8355 +[2025-02-27 04:15:41,490 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8620 +[2025-02-27 04:15:41,538 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7517 +[2025-02-27 04:15:41,577 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4414 +[2025-02-27 04:15:41,624 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.0661 +[2025-02-27 04:15:41,661 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1944 +[2025-02-27 04:15:41,705 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8687 +[2025-02-27 04:15:41,747 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0513 +[2025-02-27 04:15:41,797 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.5939 +[2025-02-27 04:15:41,834 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1031 +[2025-02-27 04:15:41,876 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2231 +[2025-02-27 04:15:41,916 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.7048 +[2025-02-27 04:15:41,951 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9612 +[2025-02-27 04:15:41,983 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.4417 +[2025-02-27 04:15:42,027 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6700 +[2025-02-27 04:15:42,063 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0632 +[2025-02-27 04:15:42,095 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4066 +[2025-02-27 04:15:42,132 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6229 +[2025-02-27 04:15:42,167 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1995 +[2025-02-27 04:15:42,207 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1532 +[2025-02-27 04:15:42,253 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.6350 +[2025-02-27 04:15:42,292 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0972 +[2025-02-27 04:15:42,338 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.2219 +[2025-02-27 04:15:42,375 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0045 +[2025-02-27 04:15:42,410 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3247 +[2025-02-27 04:15:42,466 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.0237 +[2025-02-27 04:15:42,520 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9522 +[2025-02-27 04:15:42,557 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7877 +[2025-02-27 04:15:42,613 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.6060 +[2025-02-27 04:15:42,650 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2272 +[2025-02-27 04:15:42,695 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.8261 +[2025-02-27 04:15:42,734 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2798 +[2025-02-27 04:15:42,770 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.9533 +[2025-02-27 04:15:42,804 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.7493 +[2025-02-27 04:15:42,862 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9642 +[2025-02-27 04:15:42,911 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0659 +[2025-02-27 04:15:42,959 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0685 +[2025-02-27 04:15:42,991 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2496 +[2025-02-27 04:15:43,026 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5344 +[2025-02-27 04:15:43,084 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6187 +[2025-02-27 04:15:43,115 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.5876 +[2025-02-27 04:15:43,159 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8489 +[2025-02-27 04:15:43,194 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.9482 +[2025-02-27 04:15:43,224 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7699 +[2025-02-27 04:15:43,256 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6037 +[2025-02-27 04:15:43,285 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2257 +[2025-02-27 04:15:43,313 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4949 +[2025-02-27 04:15:43,343 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5058 +[2025-02-27 04:15:43,367 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.7036 +[2025-02-27 04:15:43,400 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.8623 +[2025-02-27 04:15:43,434 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1297 +[2025-02-27 04:15:43,475 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5516 +[2025-02-27 04:15:43,506 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1326 +[2025-02-27 04:15:43,537 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.2006 +[2025-02-27 04:15:43,573 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1692 +[2025-02-27 04:15:43,619 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1767 +[2025-02-27 04:15:43,651 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1903 +[2025-02-27 04:15:43,682 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0761 +[2025-02-27 04:15:43,715 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6466 +[2025-02-27 04:15:43,771 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.4784 +[2025-02-27 04:15:43,798 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.9283 +[2025-02-27 04:15:43,835 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8176 +[2025-02-27 04:15:43,870 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.0281 +[2025-02-27 04:15:43,901 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0940 +[2025-02-27 04:15:43,929 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4529 +[2025-02-27 04:15:43,979 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5870 +[2025-02-27 04:15:44,023 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.2656 +[2025-02-27 04:15:44,073 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5833 +[2025-02-27 04:15:44,118 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6976 +[2025-02-27 04:15:44,156 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.5319 +[2025-02-27 04:15:44,202 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6651 +[2025-02-27 04:15:44,229 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.5784 +[2025-02-27 04:15:44,284 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7310 +[2025-02-27 04:15:44,312 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5897 +[2025-02-27 04:15:45,650 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:15:45,650 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:15:45,650 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:15:45,650 INFO hook.py line 232 1688082] wall : 0.7524 0.9062 +[2025-02-27 04:15:45,650 INFO hook.py line 232 1688082] floor : 0.9484 0.9792 +[2025-02-27 04:15:45,650 INFO hook.py line 232 1688082] cabinet : 0.3860 0.7330 +[2025-02-27 04:15:45,650 INFO hook.py line 232 1688082] bed : 0.6137 0.6441 +[2025-02-27 04:15:45,650 INFO hook.py line 232 1688082] chair : 0.7891 0.8319 +[2025-02-27 04:15:45,650 INFO hook.py line 232 1688082] sofa : 0.7115 0.8669 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] table : 0.5927 0.7429 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] door : 0.4021 0.5760 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] window : 0.3297 0.4041 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] bookshelf : 0.5432 0.8466 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] picture : 0.0825 0.0898 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] counter : 0.3684 0.5198 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] desk : 0.3399 0.4596 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] curtain : 0.4149 0.4248 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] refridgerator : 0.2741 0.3624 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] shower curtain : 0.4514 0.4939 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] toilet : 0.8184 0.8560 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] sink : 0.4340 0.5030 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] bathtub : 0.7479 0.7801 +[2025-02-27 04:15:45,651 INFO hook.py line 232 1688082] otherfurniture : 0.3040 0.3417 +[2025-02-27 04:15:45,651 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:15:45,651 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5152/0.6181/0.8126. +[2025-02-27 04:15:45,652 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:15:45,677 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5152 +[2025-02-27 04:15:45,678 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5152 +[2025-02-27 04:15:45,678 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:16:07,615 INFO hook.py line 109 1688082] Train: [20/100][50/300] Data 0.012 (0.004) Batch 0.308 (0.285) Remain 01:54:59 loss: 0.9033 Lr: 5.67680e-03 +[2025-02-27 04:16:21,757 INFO hook.py line 109 1688082] Train: [20/100][100/300] Data 0.002 (0.004) Batch 0.272 (0.284) Remain 01:54:24 loss: 0.8777 Lr: 5.66929e-03 +[2025-02-27 04:16:35,577 INFO hook.py line 109 1688082] Train: [20/100][150/300] Data 0.003 (0.004) Batch 0.312 (0.281) Remain 01:53:10 loss: 0.8052 Lr: 5.66170e-03 +[2025-02-27 04:16:49,119 INFO hook.py line 109 1688082] Train: [20/100][200/300] Data 0.003 (0.004) Batch 0.277 (0.279) Remain 01:51:53 loss: 0.8510 Lr: 5.65403e-03 +[2025-02-27 04:17:02,274 INFO hook.py line 109 1688082] Train: [20/100][250/300] Data 0.004 (0.004) Batch 0.228 (0.275) Remain 01:50:23 loss: 0.8792 Lr: 5.64629e-03 +[2025-02-27 04:17:15,020 INFO hook.py line 109 1688082] Train: [20/100][300/300] Data 0.001 (0.004) Batch 0.182 (0.272) Remain 01:48:47 loss: 1.2010 Lr: 5.63846e-03 +[2025-02-27 04:17:15,021 INFO misc.py line 135 1688082] Train result: loss: 0.9179 +[2025-02-27 04:17:15,114 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:17:27,941 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4819 +[2025-02-27 04:17:28,554 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9559 +[2025-02-27 04:17:28,592 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8657 +[2025-02-27 04:17:28,640 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6322 +[2025-02-27 04:17:28,677 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9076 +[2025-02-27 04:17:28,732 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9831 +[2025-02-27 04:17:28,778 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8887 +[2025-02-27 04:17:28,806 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5816 +[2025-02-27 04:17:28,846 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1606 +[2025-02-27 04:17:28,879 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.2693 +[2025-02-27 04:17:28,925 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6593 +[2025-02-27 04:17:28,954 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.9906 +[2025-02-27 04:17:28,998 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.6173 +[2025-02-27 04:17:29,034 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.6322 +[2025-02-27 04:17:29,070 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7943 +[2025-02-27 04:17:29,216 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2548 +[2025-02-27 04:17:29,251 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.1513 +[2025-02-27 04:17:29,281 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0054 +[2025-02-27 04:17:29,326 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3019 +[2025-02-27 04:17:29,363 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8654 +[2025-02-27 04:17:29,395 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4279 +[2025-02-27 04:17:29,437 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8603 +[2025-02-27 04:17:29,477 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0936 +[2025-02-27 04:17:29,518 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2525 +[2025-02-27 04:17:29,556 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2434 +[2025-02-27 04:17:29,596 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1956 +[2025-02-27 04:17:29,642 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8292 +[2025-02-27 04:17:29,680 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7517 +[2025-02-27 04:17:29,710 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4174 +[2025-02-27 04:17:29,762 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8843 +[2025-02-27 04:17:29,814 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6681 +[2025-02-27 04:17:29,845 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9823 +[2025-02-27 04:17:29,895 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4059 +[2025-02-27 04:17:29,929 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1836 +[2025-02-27 04:17:29,963 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6204 +[2025-02-27 04:17:30,010 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5606 +[2025-02-27 04:17:30,046 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6040 +[2025-02-27 04:17:30,074 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4806 +[2025-02-27 04:17:30,137 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5320 +[2025-02-27 04:17:30,178 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9372 +[2025-02-27 04:17:30,217 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2804 +[2025-02-27 04:17:30,243 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5716 +[2025-02-27 04:17:30,275 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6227 +[2025-02-27 04:17:30,332 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7595 +[2025-02-27 04:17:30,366 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.7667 +[2025-02-27 04:17:30,409 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8772 +[2025-02-27 04:17:30,443 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0277 +[2025-02-27 04:17:30,473 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7422 +[2025-02-27 04:17:30,502 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7075 +[2025-02-27 04:17:30,531 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2043 +[2025-02-27 04:17:30,557 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.7355 +[2025-02-27 04:17:30,588 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5387 +[2025-02-27 04:17:30,611 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5853 +[2025-02-27 04:17:30,643 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4976 +[2025-02-27 04:17:30,676 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2593 +[2025-02-27 04:17:30,714 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5017 +[2025-02-27 04:17:30,743 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1025 +[2025-02-27 04:17:30,767 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.2023 +[2025-02-27 04:17:30,803 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2066 +[2025-02-27 04:17:30,832 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1658 +[2025-02-27 04:17:30,854 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0041 +[2025-02-27 04:17:30,885 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.4051 +[2025-02-27 04:17:30,918 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3075 +[2025-02-27 04:17:30,970 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7015 +[2025-02-27 04:17:30,996 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.9486 +[2025-02-27 04:17:31,032 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9621 +[2025-02-27 04:17:31,067 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7580 +[2025-02-27 04:17:31,097 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0114 +[2025-02-27 04:17:31,124 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4692 +[2025-02-27 04:17:31,173 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4533 +[2025-02-27 04:17:31,213 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4142 +[2025-02-27 04:17:31,260 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6353 +[2025-02-27 04:17:31,305 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.0049 +[2025-02-27 04:17:31,342 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2911 +[2025-02-27 04:17:31,386 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5179 +[2025-02-27 04:17:31,413 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2575 +[2025-02-27 04:17:31,464 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8663 +[2025-02-27 04:17:31,489 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.4400 +[2025-02-27 04:17:32,779 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:17:32,779 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:17:32,779 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:17:32,780 INFO hook.py line 232 1688082] wall : 0.7240 0.8140 +[2025-02-27 04:17:32,780 INFO hook.py line 232 1688082] floor : 0.9475 0.9726 +[2025-02-27 04:17:32,780 INFO hook.py line 232 1688082] cabinet : 0.3809 0.6171 +[2025-02-27 04:17:32,780 INFO hook.py line 232 1688082] bed : 0.6148 0.8005 +[2025-02-27 04:17:32,780 INFO hook.py line 232 1688082] chair : 0.8171 0.9065 +[2025-02-27 04:17:32,780 INFO hook.py line 232 1688082] sofa : 0.6589 0.7270 +[2025-02-27 04:17:32,780 INFO hook.py line 232 1688082] table : 0.5741 0.8313 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] door : 0.3826 0.7019 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] window : 0.4035 0.6016 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] bookshelf : 0.6118 0.7966 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] picture : 0.1094 0.1270 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] counter : 0.4347 0.6105 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] desk : 0.3619 0.5199 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] curtain : 0.4638 0.4853 +[2025-02-27 04:17:32,781 INFO hook.py line 232 1688082] refridgerator : 0.2622 0.2733 +[2025-02-27 04:17:32,782 INFO hook.py line 232 1688082] shower curtain : 0.4395 0.4987 +[2025-02-27 04:17:32,782 INFO hook.py line 232 1688082] toilet : 0.8362 0.9211 +[2025-02-27 04:17:32,782 INFO hook.py line 232 1688082] sink : 0.5313 0.6274 +[2025-02-27 04:17:32,782 INFO hook.py line 232 1688082] bathtub : 0.6385 0.8945 +[2025-02-27 04:17:32,782 INFO hook.py line 232 1688082] otherfurniture : 0.3016 0.3909 +[2025-02-27 04:17:32,782 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:17:32,782 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5247/0.6559/0.8049. +[2025-02-27 04:17:32,783 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:17:32,798 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5247 +[2025-02-27 04:17:32,798 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5247 +[2025-02-27 04:17:32,798 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:17:54,654 INFO hook.py line 109 1688082] Train: [21/100][50/300] Data 0.011 (0.005) Batch 0.377 (0.315) Remain 02:05:35 loss: 1.2183 Lr: 5.63055e-03 +[2025-02-27 04:18:15,957 INFO hook.py line 109 1688082] Train: [21/100][100/300] Data 0.007 (0.007) Batch 0.488 (0.372) Remain 02:28:13 loss: 0.8003 Lr: 5.62256e-03 +[2025-02-27 04:18:36,625 INFO hook.py line 109 1688082] Train: [21/100][150/300] Data 0.006 (0.008) Batch 0.281 (0.386) Remain 02:33:29 loss: 0.7388 Lr: 5.61449e-03 +[2025-02-27 04:18:52,653 INFO hook.py line 109 1688082] Train: [21/100][200/300] Data 0.008 (0.007) Batch 0.402 (0.369) Remain 02:26:33 loss: 0.7699 Lr: 5.60634e-03 +[2025-02-27 04:19:11,623 INFO hook.py line 109 1688082] Train: [21/100][250/300] Data 0.012 (0.007) Batch 0.338 (0.371) Remain 02:27:03 loss: 0.9571 Lr: 5.59812e-03 +[2025-02-27 04:19:25,561 INFO hook.py line 109 1688082] Train: [21/100][300/300] Data 0.001 (0.007) Batch 0.187 (0.356) Remain 02:20:34 loss: 0.8076 Lr: 5.58981e-03 +[2025-02-27 04:19:25,562 INFO misc.py line 135 1688082] Train result: loss: 0.8854 +[2025-02-27 04:19:25,651 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:19:46,370 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5736 +[2025-02-27 04:19:46,423 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.6517 +[2025-02-27 04:19:46,474 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8274 +[2025-02-27 04:19:46,764 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6657 +[2025-02-27 04:19:46,809 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7720 +[2025-02-27 04:19:46,874 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.4675 +[2025-02-27 04:19:46,934 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.3916 +[2025-02-27 04:19:46,976 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4558 +[2025-02-27 04:19:47,020 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.0324 +[2025-02-27 04:19:47,059 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1104 +[2025-02-27 04:19:47,106 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7002 +[2025-02-27 04:19:47,150 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0852 +[2025-02-27 04:19:47,216 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0088 +[2025-02-27 04:19:47,256 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.6411 +[2025-02-27 04:19:47,307 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2741 +[2025-02-27 04:19:47,350 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4483 +[2025-02-27 04:19:47,389 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0223 +[2025-02-27 04:19:47,420 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3484 +[2025-02-27 04:19:47,466 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4652 +[2025-02-27 04:19:47,500 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9885 +[2025-02-27 04:19:47,537 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4224 +[2025-02-27 04:19:47,575 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6759 +[2025-02-27 04:19:47,605 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.8524 +[2025-02-27 04:19:47,646 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1907 +[2025-02-27 04:19:47,686 INFO hook.py line 289 1688082] Test: [25/78] Loss 2.0391 +[2025-02-27 04:19:47,724 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0062 +[2025-02-27 04:19:47,772 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3745 +[2025-02-27 04:19:47,803 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7593 +[2025-02-27 04:19:47,834 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5175 +[2025-02-27 04:19:47,888 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8577 +[2025-02-27 04:19:47,942 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6540 +[2025-02-27 04:19:47,973 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8675 +[2025-02-27 04:19:48,023 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3459 +[2025-02-27 04:19:48,060 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2776 +[2025-02-27 04:19:48,096 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7762 +[2025-02-27 04:19:48,141 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2968 +[2025-02-27 04:19:48,183 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6485 +[2025-02-27 04:19:48,210 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4595 +[2025-02-27 04:19:48,269 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9603 +[2025-02-27 04:19:48,313 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9703 +[2025-02-27 04:19:48,360 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0730 +[2025-02-27 04:19:48,399 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4881 +[2025-02-27 04:19:48,438 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.0683 +[2025-02-27 04:19:48,498 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7509 +[2025-02-27 04:19:48,532 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0043 +[2025-02-27 04:19:48,576 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8408 +[2025-02-27 04:19:48,611 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1037 +[2025-02-27 04:19:48,642 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.0163 +[2025-02-27 04:19:48,673 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.4686 +[2025-02-27 04:19:48,703 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2254 +[2025-02-27 04:19:48,730 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0593 +[2025-02-27 04:19:48,762 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2812 +[2025-02-27 04:19:48,787 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.8029 +[2025-02-27 04:19:48,821 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3085 +[2025-02-27 04:19:48,856 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1976 +[2025-02-27 04:19:48,894 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5789 +[2025-02-27 04:19:48,925 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.5934 +[2025-02-27 04:19:48,951 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1706 +[2025-02-27 04:19:48,989 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1095 +[2025-02-27 04:19:49,021 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.3485 +[2025-02-27 04:19:49,045 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8111 +[2025-02-27 04:19:49,078 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0233 +[2025-02-27 04:19:49,113 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5801 +[2025-02-27 04:19:49,165 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8126 +[2025-02-27 04:19:49,192 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4229 +[2025-02-27 04:19:49,229 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.4982 +[2025-02-27 04:19:49,267 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7839 +[2025-02-27 04:19:49,301 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2244 +[2025-02-27 04:19:49,330 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4276 +[2025-02-27 04:19:49,381 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4736 +[2025-02-27 04:19:49,421 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3950 +[2025-02-27 04:19:49,471 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4765 +[2025-02-27 04:19:49,517 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6445 +[2025-02-27 04:19:49,555 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1127 +[2025-02-27 04:19:49,600 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.4269 +[2025-02-27 04:19:49,627 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2488 +[2025-02-27 04:19:49,678 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8238 +[2025-02-27 04:19:49,704 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.3624 +[2025-02-27 04:19:51,466 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:19:51,467 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:19:51,467 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:19:51,467 INFO hook.py line 232 1688082] wall : 0.7250 0.8244 +[2025-02-27 04:19:51,467 INFO hook.py line 232 1688082] floor : 0.9510 0.9838 +[2025-02-27 04:19:51,467 INFO hook.py line 232 1688082] cabinet : 0.3723 0.3942 +[2025-02-27 04:19:51,467 INFO hook.py line 232 1688082] bed : 0.6166 0.7842 +[2025-02-27 04:19:51,467 INFO hook.py line 232 1688082] chair : 0.7816 0.9244 +[2025-02-27 04:19:51,467 INFO hook.py line 232 1688082] sofa : 0.6056 0.8135 +[2025-02-27 04:19:51,467 INFO hook.py line 232 1688082] table : 0.5449 0.8084 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] door : 0.3897 0.5181 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] window : 0.3957 0.5247 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] bookshelf : 0.5820 0.8769 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] picture : 0.1143 0.1503 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] counter : 0.5081 0.6732 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] desk : 0.2754 0.3695 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] curtain : 0.3900 0.8089 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] refridgerator : 0.2501 0.2864 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] shower curtain : 0.3470 0.4149 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] toilet : 0.7295 0.8412 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] sink : 0.5236 0.6483 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] bathtub : 0.7142 0.7907 +[2025-02-27 04:19:51,468 INFO hook.py line 232 1688082] otherfurniture : 0.2957 0.4660 +[2025-02-27 04:19:51,469 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:19:51,469 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5056/0.6451/0.8019. +[2025-02-27 04:19:51,469 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:19:51,493 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5247 +[2025-02-27 04:19:51,495 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:20:18,668 INFO hook.py line 109 1688082] Train: [22/100][50/300] Data 0.011 (0.011) Batch 0.389 (0.391) Remain 02:33:57 loss: 0.4206 Lr: 5.58143e-03 +[2025-02-27 04:20:37,083 INFO hook.py line 109 1688082] Train: [22/100][100/300] Data 0.003 (0.010) Batch 0.345 (0.379) Remain 02:29:06 loss: 0.7098 Lr: 5.57296e-03 +[2025-02-27 04:20:55,787 INFO hook.py line 109 1688082] Train: [22/100][150/300] Data 0.014 (0.009) Batch 0.355 (0.377) Remain 02:28:06 loss: 1.2403 Lr: 5.56442e-03 +[2025-02-27 04:21:14,655 INFO hook.py line 109 1688082] Train: [22/100][200/300] Data 0.011 (0.009) Batch 0.288 (0.377) Remain 02:27:48 loss: 0.9646 Lr: 5.55580e-03 +[2025-02-27 04:21:32,348 INFO hook.py line 109 1688082] Train: [22/100][250/300] Data 0.003 (0.009) Batch 0.254 (0.373) Remain 02:25:38 loss: 0.7738 Lr: 5.54711e-03 +[2025-02-27 04:21:43,345 INFO hook.py line 109 1688082] Train: [22/100][300/300] Data 0.001 (0.008) Batch 0.184 (0.347) Remain 02:15:18 loss: 1.0771 Lr: 5.53833e-03 +[2025-02-27 04:21:43,345 INFO misc.py line 135 1688082] Train result: loss: 0.8724 +[2025-02-27 04:21:43,436 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:22:02,453 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.7657 +[2025-02-27 04:22:02,551 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1104 +[2025-02-27 04:22:02,626 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9053 +[2025-02-27 04:22:02,708 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7209 +[2025-02-27 04:22:02,785 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7534 +[2025-02-27 04:22:03,547 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8882 +[2025-02-27 04:22:03,605 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0344 +[2025-02-27 04:22:03,647 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.7025 +[2025-02-27 04:22:03,705 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1234 +[2025-02-27 04:22:03,750 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.8034 +[2025-02-27 04:22:03,803 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7146 +[2025-02-27 04:22:03,839 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.6666 +[2025-02-27 04:22:03,898 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.6180 +[2025-02-27 04:22:04,153 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.7786 +[2025-02-27 04:22:04,190 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.3791 +[2025-02-27 04:22:04,234 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.6059 +[2025-02-27 04:22:04,274 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.5549 +[2025-02-27 04:22:04,304 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.8594 +[2025-02-27 04:22:04,346 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6063 +[2025-02-27 04:22:04,384 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.6569 +[2025-02-27 04:22:04,423 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4876 +[2025-02-27 04:22:04,473 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8021 +[2025-02-27 04:22:04,508 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2307 +[2025-02-27 04:22:04,553 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2839 +[2025-02-27 04:22:04,594 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2075 +[2025-02-27 04:22:04,631 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0890 +[2025-02-27 04:22:04,676 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5216 +[2025-02-27 04:22:04,716 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8591 +[2025-02-27 04:22:04,752 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5505 +[2025-02-27 04:22:04,806 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8256 +[2025-02-27 04:22:04,860 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9396 +[2025-02-27 04:22:04,892 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9635 +[2025-02-27 04:22:04,941 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.8798 +[2025-02-27 04:22:04,987 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.5810 +[2025-02-27 04:22:05,027 INFO hook.py line 289 1688082] Test: [35/78] Loss 1.1701 +[2025-02-27 04:22:05,063 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5071 +[2025-02-27 04:22:05,098 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7249 +[2025-02-27 04:22:05,132 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.9103 +[2025-02-27 04:22:05,193 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.2447 +[2025-02-27 04:22:05,239 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1318 +[2025-02-27 04:22:05,279 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1960 +[2025-02-27 04:22:05,305 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5420 +[2025-02-27 04:22:05,338 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8744 +[2025-02-27 04:22:05,390 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.4508 +[2025-02-27 04:22:05,422 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1439 +[2025-02-27 04:22:05,468 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9847 +[2025-02-27 04:22:05,502 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1662 +[2025-02-27 04:22:05,531 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.1254 +[2025-02-27 04:22:05,561 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7745 +[2025-02-27 04:22:05,590 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9643 +[2025-02-27 04:22:05,617 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3030 +[2025-02-27 04:22:05,647 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2400 +[2025-02-27 04:22:05,669 INFO hook.py line 289 1688082] Test: [53/78] Loss 1.1521 +[2025-02-27 04:22:05,703 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5047 +[2025-02-27 04:22:05,737 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.3104 +[2025-02-27 04:22:05,774 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.9490 +[2025-02-27 04:22:05,804 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1643 +[2025-02-27 04:22:05,828 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3507 +[2025-02-27 04:22:05,863 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1123 +[2025-02-27 04:22:05,892 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.3168 +[2025-02-27 04:22:05,913 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0271 +[2025-02-27 04:22:05,942 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.4681 +[2025-02-27 04:22:05,974 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.8061 +[2025-02-27 04:22:06,026 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8903 +[2025-02-27 04:22:06,051 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4225 +[2025-02-27 04:22:06,088 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.6026 +[2025-02-27 04:22:06,123 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7644 +[2025-02-27 04:22:06,153 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9384 +[2025-02-27 04:22:06,181 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4381 +[2025-02-27 04:22:06,231 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1144 +[2025-02-27 04:22:06,270 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5077 +[2025-02-27 04:22:06,316 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7160 +[2025-02-27 04:22:06,360 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9625 +[2025-02-27 04:22:06,398 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2319 +[2025-02-27 04:22:06,443 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6967 +[2025-02-27 04:22:06,469 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0942 +[2025-02-27 04:22:06,519 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.3992 +[2025-02-27 04:22:06,544 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6637 +[2025-02-27 04:22:07,665 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:22:07,666 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:22:07,666 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:22:07,666 INFO hook.py line 232 1688082] wall : 0.6226 0.6810 +[2025-02-27 04:22:07,666 INFO hook.py line 232 1688082] floor : 0.9422 0.9829 +[2025-02-27 04:22:07,666 INFO hook.py line 232 1688082] cabinet : 0.4143 0.6050 +[2025-02-27 04:22:07,666 INFO hook.py line 232 1688082] bed : 0.6597 0.7164 +[2025-02-27 04:22:07,666 INFO hook.py line 232 1688082] chair : 0.7867 0.8719 +[2025-02-27 04:22:07,666 INFO hook.py line 232 1688082] sofa : 0.6290 0.7065 +[2025-02-27 04:22:07,666 INFO hook.py line 232 1688082] table : 0.5715 0.7468 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] door : 0.3210 0.6661 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] window : 0.3189 0.6844 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] bookshelf : 0.5176 0.8776 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] picture : 0.1509 0.2627 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] counter : 0.3164 0.7536 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] desk : 0.3468 0.4318 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] curtain : 0.4525 0.6860 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] refridgerator : 0.3017 0.4008 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] shower curtain : 0.2936 0.3401 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] toilet : 0.6837 0.8108 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] sink : 0.4205 0.6759 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] bathtub : 0.6627 0.8458 +[2025-02-27 04:22:07,667 INFO hook.py line 232 1688082] otherfurniture : 0.2788 0.3808 +[2025-02-27 04:22:07,667 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:22:07,667 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4846/0.6563/0.7644. +[2025-02-27 04:22:07,668 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:22:07,690 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5247 +[2025-02-27 04:22:07,690 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:22:28,995 INFO hook.py line 109 1688082] Train: [23/100][50/300] Data 0.005 (0.004) Batch 0.373 (0.319) Remain 02:04:09 loss: 0.8847 Lr: 5.52948e-03 +[2025-02-27 04:22:43,366 INFO hook.py line 109 1688082] Train: [23/100][100/300] Data 0.004 (0.005) Batch 0.278 (0.303) Remain 01:57:33 loss: 1.0714 Lr: 5.52055e-03 +[2025-02-27 04:23:06,197 INFO hook.py line 109 1688082] Train: [23/100][150/300] Data 0.004 (0.006) Batch 0.268 (0.355) Remain 02:17:35 loss: 1.0567 Lr: 5.51155e-03 +[2025-02-27 04:23:25,229 INFO hook.py line 109 1688082] Train: [23/100][200/300] Data 0.009 (0.006) Batch 0.396 (0.362) Remain 02:19:48 loss: 0.8644 Lr: 5.50247e-03 +[2025-02-27 04:23:43,642 INFO hook.py line 109 1688082] Train: [23/100][250/300] Data 0.004 (0.007) Batch 0.301 (0.363) Remain 02:20:01 loss: 0.8008 Lr: 5.49331e-03 +[2025-02-27 04:23:57,513 INFO hook.py line 109 1688082] Train: [23/100][300/300] Data 0.001 (0.006) Batch 0.190 (0.349) Remain 02:14:10 loss: 0.7069 Lr: 5.48408e-03 +[2025-02-27 04:23:57,514 INFO misc.py line 135 1688082] Train result: loss: 0.8569 +[2025-02-27 04:23:57,615 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:24:17,115 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3929 +[2025-02-27 04:24:17,154 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9720 +[2025-02-27 04:24:17,480 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9230 +[2025-02-27 04:24:17,525 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7950 +[2025-02-27 04:24:17,557 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8513 +[2025-02-27 04:24:17,624 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1776 +[2025-02-27 04:24:17,978 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0903 +[2025-02-27 04:24:18,017 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5630 +[2025-02-27 04:24:18,057 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.6258 +[2025-02-27 04:24:18,095 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3796 +[2025-02-27 04:24:18,140 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9369 +[2025-02-27 04:24:18,185 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1846 +[2025-02-27 04:24:18,231 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.3782 +[2025-02-27 04:24:18,276 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.2050 +[2025-02-27 04:24:18,311 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9579 +[2025-02-27 04:24:18,360 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2962 +[2025-02-27 04:24:18,395 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9973 +[2025-02-27 04:24:18,427 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9714 +[2025-02-27 04:24:18,471 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4685 +[2025-02-27 04:24:18,507 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0118 +[2025-02-27 04:24:18,548 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4516 +[2025-02-27 04:24:18,585 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.0026 +[2025-02-27 04:24:18,612 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.3630 +[2025-02-27 04:24:18,657 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.6374 +[2025-02-27 04:24:18,699 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3375 +[2025-02-27 04:24:18,739 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0163 +[2025-02-27 04:24:18,786 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.1767 +[2025-02-27 04:24:18,823 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.2292 +[2025-02-27 04:24:18,856 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4872 +[2025-02-27 04:24:18,908 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9923 +[2025-02-27 04:24:18,966 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8160 +[2025-02-27 04:24:19,000 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.2057 +[2025-02-27 04:24:19,050 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4129 +[2025-02-27 04:24:19,087 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.8293 +[2025-02-27 04:24:19,124 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.9586 +[2025-02-27 04:24:19,161 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5242 +[2025-02-27 04:24:19,198 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7590 +[2025-02-27 04:24:19,229 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5518 +[2025-02-27 04:24:19,288 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.2558 +[2025-02-27 04:24:19,334 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8073 +[2025-02-27 04:24:19,380 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0875 +[2025-02-27 04:24:19,407 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4919 +[2025-02-27 04:24:19,442 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4823 +[2025-02-27 04:24:19,495 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.1977 +[2025-02-27 04:24:19,546 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0807 +[2025-02-27 04:24:19,601 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1062 +[2025-02-27 04:24:19,637 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2042 +[2025-02-27 04:24:19,670 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.1465 +[2025-02-27 04:24:19,701 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.3794 +[2025-02-27 04:24:19,732 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4935 +[2025-02-27 04:24:19,760 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.5224 +[2025-02-27 04:24:19,791 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4633 +[2025-02-27 04:24:19,815 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.7510 +[2025-02-27 04:24:19,848 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.1244 +[2025-02-27 04:24:19,882 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1932 +[2025-02-27 04:24:19,921 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5503 +[2025-02-27 04:24:19,952 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.5621 +[2025-02-27 04:24:19,978 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0235 +[2025-02-27 04:24:20,015 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2428 +[2025-02-27 04:24:20,046 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9306 +[2025-02-27 04:24:20,069 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.6897 +[2025-02-27 04:24:20,100 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9185 +[2025-02-27 04:24:20,134 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6171 +[2025-02-27 04:24:20,188 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6595 +[2025-02-27 04:24:20,215 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4878 +[2025-02-27 04:24:20,253 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0766 +[2025-02-27 04:24:20,290 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8217 +[2025-02-27 04:24:20,321 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3666 +[2025-02-27 04:24:20,351 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3683 +[2025-02-27 04:24:20,403 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2555 +[2025-02-27 04:24:20,444 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6807 +[2025-02-27 04:24:20,492 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7981 +[2025-02-27 04:24:20,539 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7861 +[2025-02-27 04:24:20,580 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8884 +[2025-02-27 04:24:20,627 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6673 +[2025-02-27 04:24:20,657 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1353 +[2025-02-27 04:24:20,708 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6668 +[2025-02-27 04:24:20,733 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7854 +[2025-02-27 04:24:22,209 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:24:22,210 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:24:22,210 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] wall : 0.7271 0.8617 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] floor : 0.9447 0.9678 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] cabinet : 0.3582 0.7482 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] bed : 0.5634 0.7581 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] chair : 0.7979 0.8671 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] sofa : 0.6379 0.9241 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] table : 0.5799 0.7430 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] door : 0.3172 0.3760 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] window : 0.3468 0.4890 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] bookshelf : 0.6079 0.6949 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] picture : 0.1620 0.2958 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] counter : 0.4242 0.6432 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] desk : 0.2591 0.2945 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] curtain : 0.4602 0.5058 +[2025-02-27 04:24:22,210 INFO hook.py line 232 1688082] refridgerator : 0.3145 0.4108 +[2025-02-27 04:24:22,211 INFO hook.py line 232 1688082] shower curtain : 0.3345 0.7545 +[2025-02-27 04:24:22,211 INFO hook.py line 232 1688082] toilet : 0.6762 0.9313 +[2025-02-27 04:24:22,211 INFO hook.py line 232 1688082] sink : 0.4194 0.6750 +[2025-02-27 04:24:22,211 INFO hook.py line 232 1688082] bathtub : 0.3824 0.9169 +[2025-02-27 04:24:22,211 INFO hook.py line 232 1688082] otherfurniture : 0.3180 0.3747 +[2025-02-27 04:24:22,211 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:24:22,211 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4816/0.6616/0.7978. +[2025-02-27 04:24:22,211 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:24:22,223 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5247 +[2025-02-27 04:24:22,224 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:24:49,356 INFO hook.py line 109 1688082] Train: [24/100][50/300] Data 0.003 (0.007) Batch 0.341 (0.373) Remain 02:23:08 loss: 1.0026 Lr: 5.47477e-03 +[2025-02-27 04:25:08,028 INFO hook.py line 109 1688082] Train: [24/100][100/300] Data 0.010 (0.007) Batch 0.453 (0.373) Remain 02:23:00 loss: 0.7076 Lr: 5.46539e-03 +[2025-02-27 04:25:26,384 INFO hook.py line 109 1688082] Train: [24/100][150/300] Data 0.016 (0.008) Batch 0.427 (0.371) Remain 02:21:55 loss: 1.2314 Lr: 5.45593e-03 +[2025-02-27 04:25:45,022 INFO hook.py line 109 1688082] Train: [24/100][200/300] Data 0.005 (0.008) Batch 0.326 (0.371) Remain 02:21:46 loss: 0.8240 Lr: 5.44640e-03 +[2025-02-27 04:25:59,354 INFO hook.py line 109 1688082] Train: [24/100][250/300] Data 0.004 (0.007) Batch 0.229 (0.354) Remain 02:14:55 loss: 0.9257 Lr: 5.43679e-03 +[2025-02-27 04:26:11,646 INFO hook.py line 109 1688082] Train: [24/100][300/300] Data 0.002 (0.006) Batch 0.271 (0.336) Remain 02:07:41 loss: 0.8604 Lr: 5.42711e-03 +[2025-02-27 04:26:11,648 INFO misc.py line 135 1688082] Train result: loss: 0.8385 +[2025-02-27 04:26:11,750 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:26:42,268 INFO hook.py line 289 1688082] Test: [1/78] Loss 1.0577 +[2025-02-27 04:26:42,410 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1764 +[2025-02-27 04:26:42,453 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9787 +[2025-02-27 04:26:42,501 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6101 +[2025-02-27 04:26:42,540 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.0852 +[2025-02-27 04:26:42,604 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5949 +[2025-02-27 04:26:42,652 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1720 +[2025-02-27 04:26:42,692 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.8531 +[2025-02-27 04:26:42,755 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3215 +[2025-02-27 04:26:50,480 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4861 +[2025-02-27 04:26:50,538 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8858 +[2025-02-27 04:26:50,710 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3662 +[2025-02-27 04:26:50,942 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.5821 +[2025-02-27 04:26:51,224 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.7636 +[2025-02-27 04:26:52,006 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0616 +[2025-02-27 04:26:52,050 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.6158 +[2025-02-27 04:26:52,100 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0191 +[2025-02-27 04:26:52,142 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.7100 +[2025-02-27 04:26:52,187 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5740 +[2025-02-27 04:26:52,220 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0624 +[2025-02-27 04:26:52,253 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.5061 +[2025-02-27 04:26:52,292 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6884 +[2025-02-27 04:26:52,319 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.8703 +[2025-02-27 04:26:52,361 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1767 +[2025-02-27 04:26:52,414 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.4390 +[2025-02-27 04:26:52,459 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.3121 +[2025-02-27 04:26:52,506 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5379 +[2025-02-27 04:26:52,542 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7689 +[2025-02-27 04:26:52,572 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5745 +[2025-02-27 04:26:52,622 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.1059 +[2025-02-27 04:26:52,675 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6770 +[2025-02-27 04:26:52,707 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9302 +[2025-02-27 04:26:52,757 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.6462 +[2025-02-27 04:26:52,797 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4477 +[2025-02-27 04:26:52,833 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7255 +[2025-02-27 04:26:52,875 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0256 +[2025-02-27 04:26:52,915 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8559 +[2025-02-27 04:26:52,953 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.8461 +[2025-02-27 04:26:53,014 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0021 +[2025-02-27 04:26:53,059 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.6544 +[2025-02-27 04:26:53,099 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3917 +[2025-02-27 04:26:53,126 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4843 +[2025-02-27 04:26:53,169 INFO hook.py line 289 1688082] Test: [43/78] Loss 1.0028 +[2025-02-27 04:26:53,223 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9968 +[2025-02-27 04:26:53,252 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.4079 +[2025-02-27 04:26:53,295 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.6862 +[2025-02-27 04:26:53,334 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1687 +[2025-02-27 04:26:53,364 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8400 +[2025-02-27 04:26:53,395 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.4555 +[2025-02-27 04:26:53,426 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5677 +[2025-02-27 04:26:53,457 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3762 +[2025-02-27 04:26:53,494 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2015 +[2025-02-27 04:26:53,524 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.8500 +[2025-02-27 04:26:53,561 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3154 +[2025-02-27 04:26:53,596 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2547 +[2025-02-27 04:26:53,635 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5878 +[2025-02-27 04:26:53,666 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.5586 +[2025-02-27 04:26:53,692 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3417 +[2025-02-27 04:26:53,729 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9529 +[2025-02-27 04:26:53,759 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0018 +[2025-02-27 04:26:53,783 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8093 +[2025-02-27 04:26:53,815 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0222 +[2025-02-27 04:26:53,848 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4892 +[2025-02-27 04:26:53,902 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6430 +[2025-02-27 04:26:53,928 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.5323 +[2025-02-27 04:26:53,966 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.2999 +[2025-02-27 04:26:54,002 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.9976 +[2025-02-27 04:26:54,034 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.7008 +[2025-02-27 04:26:54,063 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.5519 +[2025-02-27 04:26:54,114 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3163 +[2025-02-27 04:26:54,155 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4401 +[2025-02-27 04:26:54,203 INFO hook.py line 289 1688082] Test: [72/78] Loss 1.1123 +[2025-02-27 04:26:54,250 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.8749 +[2025-02-27 04:26:54,289 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0841 +[2025-02-27 04:26:54,335 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5709 +[2025-02-27 04:26:54,363 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2543 +[2025-02-27 04:26:54,415 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.0594 +[2025-02-27 04:26:54,440 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8032 +[2025-02-27 04:26:56,063 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:26:56,064 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:26:56,064 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] wall : 0.6777 0.7702 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] floor : 0.9513 0.9832 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] cabinet : 0.4052 0.5046 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] bed : 0.5911 0.7218 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] chair : 0.8085 0.9071 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] sofa : 0.6625 0.8699 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] table : 0.5461 0.6232 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] door : 0.2980 0.3291 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] window : 0.3862 0.6473 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] bookshelf : 0.6128 0.8328 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] picture : 0.1122 0.3151 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] counter : 0.4615 0.5965 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] desk : 0.4207 0.7908 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] curtain : 0.4092 0.7371 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] refridgerator : 0.2649 0.3481 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] shower curtain : 0.3543 0.6080 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] toilet : 0.2445 0.9834 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] sink : 0.4392 0.7022 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] bathtub : 0.2858 0.8700 +[2025-02-27 04:26:56,064 INFO hook.py line 232 1688082] otherfurniture : 0.3120 0.5003 +[2025-02-27 04:26:56,064 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:26:56,064 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4622/0.6820/0.7854. +[2025-02-27 04:26:56,065 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:26:56,074 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5247 +[2025-02-27 04:26:56,075 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:27:22,977 INFO hook.py line 109 1688082] Train: [25/100][50/300] Data 0.004 (0.007) Batch 0.329 (0.355) Remain 02:14:27 loss: 0.7427 Lr: 5.41735e-03 +[2025-02-27 04:27:41,719 INFO hook.py line 109 1688082] Train: [25/100][100/300] Data 0.004 (0.007) Batch 0.351 (0.365) Remain 02:18:05 loss: 1.5050 Lr: 5.40753e-03 +[2025-02-27 04:28:00,185 INFO hook.py line 109 1688082] Train: [25/100][150/300] Data 0.004 (0.007) Batch 0.460 (0.366) Remain 02:18:20 loss: 0.9110 Lr: 5.39762e-03 +[2025-02-27 04:28:19,288 INFO hook.py line 109 1688082] Train: [25/100][200/300] Data 0.004 (0.007) Batch 0.330 (0.370) Remain 02:19:31 loss: 0.6423 Lr: 5.38765e-03 +[2025-02-27 04:28:38,698 INFO hook.py line 109 1688082] Train: [25/100][250/300] Data 0.003 (0.007) Batch 0.319 (0.374) Remain 02:20:34 loss: 0.7240 Lr: 5.37760e-03 +[2025-02-27 04:28:52,323 INFO hook.py line 109 1688082] Train: [25/100][300/300] Data 0.001 (0.007) Batch 0.180 (0.357) Remain 02:13:51 loss: 0.7955 Lr: 5.36748e-03 +[2025-02-27 04:28:52,323 INFO misc.py line 135 1688082] Train result: loss: 0.8519 +[2025-02-27 04:28:52,406 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:29:11,577 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.7295 +[2025-02-27 04:29:11,778 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.5343 +[2025-02-27 04:29:11,820 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8616 +[2025-02-27 04:29:11,877 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6767 +[2025-02-27 04:29:11,928 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7405 +[2025-02-27 04:29:11,988 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6519 +[2025-02-27 04:29:12,040 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8987 +[2025-02-27 04:29:12,082 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5126 +[2025-02-27 04:29:12,711 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2989 +[2025-02-27 04:29:12,757 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4390 +[2025-02-27 04:29:12,802 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7927 +[2025-02-27 04:29:12,836 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.9651 +[2025-02-27 04:29:13,004 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0826 +[2025-02-27 04:29:13,053 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.9776 +[2025-02-27 04:29:13,090 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8752 +[2025-02-27 04:29:13,141 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.5684 +[2025-02-27 04:29:13,179 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8285 +[2025-02-27 04:29:13,212 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5355 +[2025-02-27 04:29:13,252 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3432 +[2025-02-27 04:29:13,292 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1053 +[2025-02-27 04:29:13,325 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4117 +[2025-02-27 04:29:13,366 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.4437 +[2025-02-27 04:29:13,392 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2384 +[2025-02-27 04:29:13,448 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.9903 +[2025-02-27 04:29:13,488 INFO hook.py line 289 1688082] Test: [25/78] Loss 0.9477 +[2025-02-27 04:29:13,530 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0896 +[2025-02-27 04:29:13,578 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5970 +[2025-02-27 04:29:13,612 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7619 +[2025-02-27 04:29:13,640 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4272 +[2025-02-27 04:29:13,693 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7644 +[2025-02-27 04:29:13,748 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7807 +[2025-02-27 04:29:13,781 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9596 +[2025-02-27 04:29:13,831 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3799 +[2025-02-27 04:29:13,867 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.8300 +[2025-02-27 04:29:13,917 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7030 +[2025-02-27 04:29:13,964 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4266 +[2025-02-27 04:29:14,007 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8169 +[2025-02-27 04:29:14,039 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6101 +[2025-02-27 04:29:14,095 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6302 +[2025-02-27 04:29:14,138 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7402 +[2025-02-27 04:29:14,179 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0236 +[2025-02-27 04:29:14,215 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.6302 +[2025-02-27 04:29:14,250 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8426 +[2025-02-27 04:29:14,303 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8207 +[2025-02-27 04:29:14,335 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0271 +[2025-02-27 04:29:14,385 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0751 +[2025-02-27 04:29:14,420 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3501 +[2025-02-27 04:29:14,451 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9141 +[2025-02-27 04:29:14,483 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7618 +[2025-02-27 04:29:14,514 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0386 +[2025-02-27 04:29:14,541 INFO hook.py line 289 1688082] Test: [51/78] Loss 2.5579 +[2025-02-27 04:29:14,573 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2757 +[2025-02-27 04:29:14,597 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6498 +[2025-02-27 04:29:14,632 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.6196 +[2025-02-27 04:29:14,667 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2187 +[2025-02-27 04:29:14,705 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3980 +[2025-02-27 04:29:14,736 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.6463 +[2025-02-27 04:29:14,761 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3194 +[2025-02-27 04:29:14,799 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2937 +[2025-02-27 04:29:14,831 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.7782 +[2025-02-27 04:29:14,861 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9301 +[2025-02-27 04:29:14,894 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1486 +[2025-02-27 04:29:14,929 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2391 +[2025-02-27 04:29:14,982 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.3806 +[2025-02-27 04:29:15,009 INFO hook.py line 289 1688082] Test: [65/78] Loss 2.1691 +[2025-02-27 04:29:15,047 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.3235 +[2025-02-27 04:29:15,084 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.9840 +[2025-02-27 04:29:15,117 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0018 +[2025-02-27 04:29:15,146 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4756 +[2025-02-27 04:29:15,198 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1102 +[2025-02-27 04:29:15,238 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3179 +[2025-02-27 04:29:15,287 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6243 +[2025-02-27 04:29:15,333 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.8079 +[2025-02-27 04:29:15,372 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3423 +[2025-02-27 04:29:15,419 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5690 +[2025-02-27 04:29:15,447 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3244 +[2025-02-27 04:29:15,498 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6668 +[2025-02-27 04:29:15,522 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5736 +[2025-02-27 04:29:16,928 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:29:16,929 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:29:16,929 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:29:16,929 INFO hook.py line 232 1688082] wall : 0.6918 0.8313 +[2025-02-27 04:29:16,929 INFO hook.py line 232 1688082] floor : 0.9494 0.9789 +[2025-02-27 04:29:16,929 INFO hook.py line 232 1688082] cabinet : 0.4307 0.5473 +[2025-02-27 04:29:16,929 INFO hook.py line 232 1688082] bed : 0.6447 0.7039 +[2025-02-27 04:29:16,929 INFO hook.py line 232 1688082] chair : 0.7943 0.8782 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] sofa : 0.6789 0.8830 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] table : 0.5821 0.7531 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] door : 0.3774 0.5034 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] window : 0.3401 0.5058 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] bookshelf : 0.6049 0.8379 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] picture : 0.0977 0.4538 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] counter : 0.5062 0.7471 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] desk : 0.4221 0.5959 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] curtain : 0.2010 0.2061 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] refridgerator : 0.2082 0.5324 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] shower curtain : 0.1530 0.1579 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] toilet : 0.7638 0.9223 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] sink : 0.4396 0.6537 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] bathtub : 0.6472 0.8205 +[2025-02-27 04:29:16,930 INFO hook.py line 232 1688082] otherfurniture : 0.3173 0.3938 +[2025-02-27 04:29:16,930 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:29:16,930 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4925/0.6453/0.7938. +[2025-02-27 04:29:16,931 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:29:16,946 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5247 +[2025-02-27 04:29:16,947 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:29:37,446 INFO hook.py line 109 1688082] Train: [26/100][50/300] Data 0.004 (0.004) Batch 0.263 (0.261) Remain 01:37:48 loss: 0.8531 Lr: 5.35729e-03 +[2025-02-27 04:29:56,430 INFO hook.py line 109 1688082] Train: [26/100][100/300] Data 0.002 (0.005) Batch 0.352 (0.322) Remain 02:00:21 loss: 0.8367 Lr: 5.34703e-03 +[2025-02-27 04:30:14,831 INFO hook.py line 109 1688082] Train: [26/100][150/300] Data 0.003 (0.005) Batch 0.257 (0.338) Remain 02:05:51 loss: 1.0795 Lr: 5.33670e-03 +[2025-02-27 04:30:36,566 INFO hook.py line 109 1688082] Train: [26/100][200/300] Data 0.019 (0.006) Batch 0.846 (0.362) Remain 02:14:42 loss: 0.7697 Lr: 5.32629e-03 +[2025-02-27 04:30:55,916 INFO hook.py line 109 1688082] Train: [26/100][250/300] Data 0.004 (0.006) Batch 0.345 (0.367) Remain 02:16:15 loss: 1.0045 Lr: 5.31582e-03 +[2025-02-27 04:31:09,642 INFO hook.py line 109 1688082] Train: [26/100][300/300] Data 0.001 (0.006) Batch 0.191 (0.352) Remain 02:10:09 loss: 1.0190 Lr: 5.30527e-03 +[2025-02-27 04:31:09,642 INFO misc.py line 135 1688082] Train result: loss: 0.8219 +[2025-02-27 04:31:09,730 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:31:29,641 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4056 +[2025-02-27 04:31:30,487 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9679 +[2025-02-27 04:31:30,536 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9653 +[2025-02-27 04:31:30,582 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7663 +[2025-02-27 04:31:31,000 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7240 +[2025-02-27 04:31:31,049 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8380 +[2025-02-27 04:31:31,110 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8774 +[2025-02-27 04:31:31,147 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.7888 +[2025-02-27 04:31:31,188 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1407 +[2025-02-27 04:31:31,221 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4637 +[2025-02-27 04:31:31,278 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7212 +[2025-02-27 04:31:31,309 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.9788 +[2025-02-27 04:31:31,356 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.6580 +[2025-02-27 04:31:31,400 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.7960 +[2025-02-27 04:31:31,437 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0114 +[2025-02-27 04:31:31,483 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3305 +[2025-02-27 04:31:31,521 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0506 +[2025-02-27 04:31:31,564 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1138 +[2025-02-27 04:31:31,612 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1508 +[2025-02-27 04:31:31,643 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9166 +[2025-02-27 04:31:31,684 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4751 +[2025-02-27 04:31:31,732 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6516 +[2025-02-27 04:31:31,769 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0287 +[2025-02-27 04:31:31,809 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1844 +[2025-02-27 04:31:31,849 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1959 +[2025-02-27 04:31:31,889 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.4162 +[2025-02-27 04:31:31,936 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3906 +[2025-02-27 04:31:31,975 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7715 +[2025-02-27 04:31:32,014 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3827 +[2025-02-27 04:31:32,068 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9002 +[2025-02-27 04:31:32,128 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7884 +[2025-02-27 04:31:32,161 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7788 +[2025-02-27 04:31:32,211 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.6039 +[2025-02-27 04:31:32,248 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3008 +[2025-02-27 04:31:32,283 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5169 +[2025-02-27 04:31:32,327 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4786 +[2025-02-27 04:31:32,364 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8616 +[2025-02-27 04:31:32,421 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4206 +[2025-02-27 04:31:32,478 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6972 +[2025-02-27 04:31:32,537 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8396 +[2025-02-27 04:31:32,588 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2035 +[2025-02-27 04:31:32,618 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5645 +[2025-02-27 04:31:32,654 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5423 +[2025-02-27 04:31:32,706 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7996 +[2025-02-27 04:31:32,736 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8852 +[2025-02-27 04:31:32,782 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8001 +[2025-02-27 04:31:32,820 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.7407 +[2025-02-27 04:31:32,851 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9330 +[2025-02-27 04:31:32,882 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.9107 +[2025-02-27 04:31:32,913 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3287 +[2025-02-27 04:31:32,942 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3834 +[2025-02-27 04:31:32,974 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2902 +[2025-02-27 04:31:32,999 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5466 +[2025-02-27 04:31:33,034 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.0919 +[2025-02-27 04:31:33,070 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2022 +[2025-02-27 04:31:33,109 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4463 +[2025-02-27 04:31:33,141 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.5702 +[2025-02-27 04:31:33,167 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.5430 +[2025-02-27 04:31:33,204 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2927 +[2025-02-27 04:31:33,236 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0223 +[2025-02-27 04:31:33,260 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1306 +[2025-02-27 04:31:33,292 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.2898 +[2025-02-27 04:31:33,327 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2856 +[2025-02-27 04:31:33,381 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.5764 +[2025-02-27 04:31:33,419 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1643 +[2025-02-27 04:31:33,458 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.3641 +[2025-02-27 04:31:33,493 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6606 +[2025-02-27 04:31:33,524 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1538 +[2025-02-27 04:31:33,553 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4757 +[2025-02-27 04:31:33,604 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1323 +[2025-02-27 04:31:33,645 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3170 +[2025-02-27 04:31:33,694 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5803 +[2025-02-27 04:31:33,739 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9811 +[2025-02-27 04:31:33,779 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8036 +[2025-02-27 04:31:33,827 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5132 +[2025-02-27 04:31:33,855 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.5284 +[2025-02-27 04:31:33,907 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7784 +[2025-02-27 04:31:33,932 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5811 +[2025-02-27 04:31:35,234 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:31:35,235 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:31:35,235 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] wall : 0.7424 0.8629 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] floor : 0.9403 0.9677 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] cabinet : 0.3696 0.5626 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] bed : 0.6576 0.7058 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] chair : 0.7831 0.9045 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] sofa : 0.6501 0.7797 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] table : 0.5704 0.7661 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] door : 0.4346 0.5992 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] window : 0.3300 0.3756 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] bookshelf : 0.5857 0.8138 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] picture : 0.1431 0.2639 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] counter : 0.4662 0.6034 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] desk : 0.3458 0.4799 +[2025-02-27 04:31:35,235 INFO hook.py line 232 1688082] curtain : 0.5098 0.6282 +[2025-02-27 04:31:35,236 INFO hook.py line 232 1688082] refridgerator : 0.2717 0.3079 +[2025-02-27 04:31:35,236 INFO hook.py line 232 1688082] shower curtain : 0.4650 0.5469 +[2025-02-27 04:31:35,236 INFO hook.py line 232 1688082] toilet : 0.7949 0.8537 +[2025-02-27 04:31:35,236 INFO hook.py line 232 1688082] sink : 0.4970 0.6204 +[2025-02-27 04:31:35,236 INFO hook.py line 232 1688082] bathtub : 0.6952 0.7368 +[2025-02-27 04:31:35,236 INFO hook.py line 232 1688082] otherfurniture : 0.3223 0.5327 +[2025-02-27 04:31:35,236 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:31:35,236 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5287/0.6456/0.8089. +[2025-02-27 04:31:35,236 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:31:35,249 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5287 +[2025-02-27 04:31:35,250 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5287 +[2025-02-27 04:31:35,250 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:32:03,218 INFO hook.py line 109 1688082] Train: [27/100][50/300] Data 0.003 (0.009) Batch 0.341 (0.386) Remain 02:22:37 loss: 1.0368 Lr: 5.29466e-03 +[2025-02-27 04:32:21,883 INFO hook.py line 109 1688082] Train: [27/100][100/300] Data 0.008 (0.008) Batch 0.303 (0.380) Remain 02:19:51 loss: 0.3674 Lr: 5.28397e-03 +[2025-02-27 04:32:40,146 INFO hook.py line 109 1688082] Train: [27/100][150/300] Data 0.005 (0.008) Batch 0.322 (0.375) Remain 02:17:43 loss: 0.4945 Lr: 5.27322e-03 +[2025-02-27 04:32:58,608 INFO hook.py line 109 1688082] Train: [27/100][200/300] Data 0.012 (0.008) Batch 0.288 (0.373) Remain 02:16:54 loss: 0.4896 Lr: 5.26239e-03 +[2025-02-27 04:33:17,000 INFO hook.py line 109 1688082] Train: [27/100][250/300] Data 0.014 (0.008) Batch 0.299 (0.372) Remain 02:16:10 loss: 1.0021 Lr: 5.25150e-03 +[2025-02-27 04:33:28,770 INFO hook.py line 109 1688082] Train: [27/100][300/300] Data 0.001 (0.007) Batch 0.169 (0.349) Remain 02:07:27 loss: 0.4687 Lr: 5.24076e-03 +[2025-02-27 04:33:28,771 INFO misc.py line 135 1688082] Train result: loss: 0.8069 +[2025-02-27 04:33:28,859 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:33:45,994 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4237 +[2025-02-27 04:33:46,074 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9596 +[2025-02-27 04:33:46,143 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8866 +[2025-02-27 04:33:46,467 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7029 +[2025-02-27 04:33:46,631 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7044 +[2025-02-27 04:33:46,709 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8659 +[2025-02-27 04:33:46,778 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9306 +[2025-02-27 04:33:46,966 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5785 +[2025-02-27 04:33:47,017 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1697 +[2025-02-27 04:33:47,061 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1821 +[2025-02-27 04:33:47,111 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.0106 +[2025-02-27 04:33:47,156 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2763 +[2025-02-27 04:33:47,210 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0742 +[2025-02-27 04:33:47,795 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3212 +[2025-02-27 04:33:47,839 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7687 +[2025-02-27 04:33:47,888 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3310 +[2025-02-27 04:33:47,932 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0888 +[2025-02-27 04:33:47,971 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5136 +[2025-02-27 04:33:48,020 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.0726 +[2025-02-27 04:33:48,062 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0960 +[2025-02-27 04:33:48,103 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3414 +[2025-02-27 04:33:48,148 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.4945 +[2025-02-27 04:33:48,189 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2797 +[2025-02-27 04:33:48,239 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1024 +[2025-02-27 04:33:48,287 INFO hook.py line 289 1688082] Test: [25/78] Loss 0.9743 +[2025-02-27 04:33:48,333 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0753 +[2025-02-27 04:33:48,390 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9225 +[2025-02-27 04:33:48,432 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.4101 +[2025-02-27 04:33:48,469 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3622 +[2025-02-27 04:33:48,531 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6099 +[2025-02-27 04:33:48,591 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7798 +[2025-02-27 04:33:48,635 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.5781 +[2025-02-27 04:33:48,694 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4018 +[2025-02-27 04:33:48,742 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1900 +[2025-02-27 04:33:48,785 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6793 +[2025-02-27 04:33:48,832 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2312 +[2025-02-27 04:33:48,873 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5953 +[2025-02-27 04:33:48,911 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4085 +[2025-02-27 04:33:48,970 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9930 +[2025-02-27 04:33:49,023 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.6066 +[2025-02-27 04:33:49,070 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0137 +[2025-02-27 04:33:49,107 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2477 +[2025-02-27 04:33:49,151 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7847 +[2025-02-27 04:33:49,212 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6618 +[2025-02-27 04:33:49,255 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9528 +[2025-02-27 04:33:49,301 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9632 +[2025-02-27 04:33:49,345 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.9443 +[2025-02-27 04:33:49,388 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.1506 +[2025-02-27 04:33:49,425 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.4053 +[2025-02-27 04:33:49,466 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.7391 +[2025-02-27 04:33:49,504 INFO hook.py line 289 1688082] Test: [51/78] Loss 2.0077 +[2025-02-27 04:33:49,540 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4200 +[2025-02-27 04:33:49,574 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3147 +[2025-02-27 04:33:49,618 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.4898 +[2025-02-27 04:33:49,654 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1036 +[2025-02-27 04:33:49,694 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4689 +[2025-02-27 04:33:49,725 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1595 +[2025-02-27 04:33:49,750 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9121 +[2025-02-27 04:33:49,787 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0633 +[2025-02-27 04:33:49,817 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0291 +[2025-02-27 04:33:49,841 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.5418 +[2025-02-27 04:33:49,872 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1312 +[2025-02-27 04:33:49,905 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2477 +[2025-02-27 04:33:49,959 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7488 +[2025-02-27 04:33:49,986 INFO hook.py line 289 1688082] Test: [65/78] Loss 2.0320 +[2025-02-27 04:33:50,025 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0077 +[2025-02-27 04:33:50,061 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.0200 +[2025-02-27 04:33:50,092 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.5860 +[2025-02-27 04:33:50,123 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3398 +[2025-02-27 04:33:50,177 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3448 +[2025-02-27 04:33:50,218 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.9046 +[2025-02-27 04:33:50,267 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4933 +[2025-02-27 04:33:50,312 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4417 +[2025-02-27 04:33:50,352 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.3905 +[2025-02-27 04:33:50,398 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5650 +[2025-02-27 04:33:50,426 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2041 +[2025-02-27 04:33:50,477 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5485 +[2025-02-27 04:33:50,502 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6215 +[2025-02-27 04:33:51,675 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:33:51,676 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:33:51,676 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] wall : 0.7470 0.9125 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] floor : 0.9498 0.9755 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] cabinet : 0.4050 0.4852 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] bed : 0.6301 0.7593 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] chair : 0.8137 0.8898 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] sofa : 0.6479 0.8963 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] table : 0.5675 0.7807 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] door : 0.3449 0.4556 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] window : 0.4017 0.5162 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] bookshelf : 0.3677 0.3830 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] picture : 0.1598 0.2548 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] counter : 0.4691 0.6237 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] desk : 0.3546 0.5180 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] curtain : 0.4266 0.4404 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] refridgerator : 0.3065 0.4122 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] shower curtain : 0.3878 0.4088 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] toilet : 0.7776 0.9149 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] sink : 0.4961 0.5677 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] bathtub : 0.7746 0.8251 +[2025-02-27 04:33:51,676 INFO hook.py line 232 1688082] otherfurniture : 0.3335 0.5470 +[2025-02-27 04:33:51,676 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:33:51,676 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5181/0.6283/0.8111. +[2025-02-27 04:33:51,676 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:33:51,682 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5287 +[2025-02-27 04:33:51,682 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:34:12,159 INFO hook.py line 109 1688082] Train: [28/100][50/300] Data 0.009 (0.004) Batch 0.414 (0.280) Remain 01:42:02 loss: 0.5719 Lr: 5.22973e-03 +[2025-02-27 04:34:26,058 INFO hook.py line 109 1688082] Train: [28/100][100/300] Data 0.003 (0.004) Batch 0.243 (0.279) Remain 01:41:23 loss: 0.8285 Lr: 5.21886e-03 +[2025-02-27 04:34:44,589 INFO hook.py line 109 1688082] Train: [28/100][150/300] Data 0.007 (0.005) Batch 0.543 (0.310) Remain 01:52:25 loss: 0.7892 Lr: 5.20770e-03 +[2025-02-27 04:35:04,582 INFO hook.py line 109 1688082] Train: [28/100][200/300] Data 0.017 (0.006) Batch 0.325 (0.333) Remain 02:00:24 loss: 0.9223 Lr: 5.19647e-03 +[2025-02-27 04:35:23,595 INFO hook.py line 109 1688082] Train: [28/100][250/300] Data 0.004 (0.006) Batch 0.368 (0.343) Remain 02:03:35 loss: 0.9719 Lr: 5.18518e-03 +[2025-02-27 04:35:37,623 INFO hook.py line 109 1688082] Train: [28/100][300/300] Data 0.002 (0.006) Batch 0.193 (0.332) Remain 01:59:33 loss: 0.6970 Lr: 5.17381e-03 +[2025-02-27 04:35:37,623 INFO misc.py line 135 1688082] Train result: loss: 0.7963 +[2025-02-27 04:35:37,724 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:35:56,586 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4923 +[2025-02-27 04:35:56,662 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8940 +[2025-02-27 04:35:56,707 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7739 +[2025-02-27 04:35:56,760 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7760 +[2025-02-27 04:35:56,807 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7635 +[2025-02-27 04:35:56,895 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7261 +[2025-02-27 04:35:56,951 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1244 +[2025-02-27 04:35:56,998 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.7730 +[2025-02-27 04:35:57,105 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.5217 +[2025-02-27 04:35:57,152 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1267 +[2025-02-27 04:35:57,195 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.0482 +[2025-02-27 04:35:57,633 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.5800 +[2025-02-27 04:35:57,681 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.8983 +[2025-02-27 04:35:57,720 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.2552 +[2025-02-27 04:35:57,759 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.8502 +[2025-02-27 04:35:57,805 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.6303 +[2025-02-27 04:35:57,840 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.3755 +[2025-02-27 04:35:57,876 INFO hook.py line 289 1688082] Test: [18/78] Loss 2.1732 +[2025-02-27 04:35:57,915 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4615 +[2025-02-27 04:35:57,947 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9793 +[2025-02-27 04:35:57,980 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3953 +[2025-02-27 04:35:58,020 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6221 +[2025-02-27 04:35:58,047 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.5147 +[2025-02-27 04:35:58,097 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.4770 +[2025-02-27 04:35:58,136 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0163 +[2025-02-27 04:35:58,182 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7769 +[2025-02-27 04:35:58,228 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5742 +[2025-02-27 04:35:58,261 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.4308 +[2025-02-27 04:35:58,293 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4772 +[2025-02-27 04:35:58,344 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6940 +[2025-02-27 04:35:58,397 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9460 +[2025-02-27 04:35:58,433 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.6972 +[2025-02-27 04:35:58,484 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4179 +[2025-02-27 04:35:58,521 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3156 +[2025-02-27 04:35:58,558 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4966 +[2025-02-27 04:35:58,605 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3158 +[2025-02-27 04:35:58,645 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5527 +[2025-02-27 04:35:58,689 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5686 +[2025-02-27 04:35:58,750 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7932 +[2025-02-27 04:35:58,797 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9039 +[2025-02-27 04:35:58,838 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1415 +[2025-02-27 04:35:58,866 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3465 +[2025-02-27 04:35:58,902 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6547 +[2025-02-27 04:35:58,955 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9031 +[2025-02-27 04:35:58,997 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0586 +[2025-02-27 04:35:59,053 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9232 +[2025-02-27 04:35:59,091 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1388 +[2025-02-27 04:35:59,124 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.3140 +[2025-02-27 04:35:59,155 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.9574 +[2025-02-27 04:35:59,187 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.8622 +[2025-02-27 04:35:59,215 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0673 +[2025-02-27 04:35:59,247 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5790 +[2025-02-27 04:35:59,271 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5266 +[2025-02-27 04:35:59,305 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5092 +[2025-02-27 04:35:59,341 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1481 +[2025-02-27 04:35:59,379 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3942 +[2025-02-27 04:35:59,410 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2010 +[2025-02-27 04:35:59,437 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9828 +[2025-02-27 04:35:59,473 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9171 +[2025-02-27 04:35:59,504 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9607 +[2025-02-27 04:35:59,528 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.9275 +[2025-02-27 04:35:59,560 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8613 +[2025-02-27 04:35:59,594 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5928 +[2025-02-27 04:35:59,648 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6797 +[2025-02-27 04:35:59,675 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.5331 +[2025-02-27 04:35:59,714 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0393 +[2025-02-27 04:35:59,750 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8543 +[2025-02-27 04:35:59,782 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.7493 +[2025-02-27 04:35:59,811 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3954 +[2025-02-27 04:35:59,863 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4856 +[2025-02-27 04:35:59,904 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5437 +[2025-02-27 04:35:59,952 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.9024 +[2025-02-27 04:35:59,998 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4826 +[2025-02-27 04:36:00,038 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4887 +[2025-02-27 04:36:00,085 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6449 +[2025-02-27 04:36:00,113 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2104 +[2025-02-27 04:36:00,164 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8292 +[2025-02-27 04:36:00,190 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6617 +[2025-02-27 04:36:01,742 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:36:01,744 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:36:01,744 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:36:01,745 INFO hook.py line 232 1688082] wall : 0.7428 0.8935 +[2025-02-27 04:36:01,745 INFO hook.py line 232 1688082] floor : 0.9445 0.9731 +[2025-02-27 04:36:01,745 INFO hook.py line 232 1688082] cabinet : 0.3976 0.6312 +[2025-02-27 04:36:01,746 INFO hook.py line 232 1688082] bed : 0.5533 0.5946 +[2025-02-27 04:36:01,746 INFO hook.py line 232 1688082] chair : 0.7652 0.8480 +[2025-02-27 04:36:01,746 INFO hook.py line 232 1688082] sofa : 0.7106 0.8213 +[2025-02-27 04:36:01,747 INFO hook.py line 232 1688082] table : 0.5878 0.6549 +[2025-02-27 04:36:01,747 INFO hook.py line 232 1688082] door : 0.3469 0.4280 +[2025-02-27 04:36:01,747 INFO hook.py line 232 1688082] window : 0.3672 0.5222 +[2025-02-27 04:36:01,748 INFO hook.py line 232 1688082] bookshelf : 0.5105 0.5586 +[2025-02-27 04:36:01,748 INFO hook.py line 232 1688082] picture : 0.1715 0.2717 +[2025-02-27 04:36:01,748 INFO hook.py line 232 1688082] counter : 0.2881 0.6748 +[2025-02-27 04:36:01,748 INFO hook.py line 232 1688082] desk : 0.3278 0.4648 +[2025-02-27 04:36:01,749 INFO hook.py line 232 1688082] curtain : 0.4474 0.6019 +[2025-02-27 04:36:01,749 INFO hook.py line 232 1688082] refridgerator : 0.3095 0.3252 +[2025-02-27 04:36:01,749 INFO hook.py line 232 1688082] shower curtain : 0.2999 0.6971 +[2025-02-27 04:36:01,749 INFO hook.py line 232 1688082] toilet : 0.5052 0.9573 +[2025-02-27 04:36:01,749 INFO hook.py line 232 1688082] sink : 0.3253 0.6334 +[2025-02-27 04:36:01,749 INFO hook.py line 232 1688082] bathtub : 0.6707 0.7581 +[2025-02-27 04:36:01,749 INFO hook.py line 232 1688082] otherfurniture : 0.3223 0.5074 +[2025-02-27 04:36:01,749 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:36:01,749 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4797/0.6409/0.8010. +[2025-02-27 04:36:01,750 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:36:01,767 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5287 +[2025-02-27 04:36:01,768 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:36:29,361 INFO hook.py line 109 1688082] Train: [29/100][50/300] Data 0.012 (0.009) Batch 0.423 (0.402) Remain 02:24:19 loss: 0.5575 Lr: 5.16239e-03 +[2025-02-27 04:36:48,021 INFO hook.py line 109 1688082] Train: [29/100][100/300] Data 0.011 (0.008) Batch 0.348 (0.387) Remain 02:18:42 loss: 0.5451 Lr: 5.15089e-03 +[2025-02-27 04:37:06,982 INFO hook.py line 109 1688082] Train: [29/100][150/300] Data 0.004 (0.007) Batch 0.285 (0.384) Remain 02:17:25 loss: 0.6114 Lr: 5.13934e-03 +[2025-02-27 04:37:25,625 INFO hook.py line 109 1688082] Train: [29/100][200/300] Data 0.011 (0.007) Batch 0.374 (0.381) Remain 02:16:02 loss: 1.0298 Lr: 5.12771e-03 +[2025-02-27 04:37:42,462 INFO hook.py line 109 1688082] Train: [29/100][250/300] Data 0.004 (0.007) Batch 0.280 (0.372) Remain 02:12:30 loss: 0.8884 Lr: 5.11602e-03 +[2025-02-27 04:37:53,190 INFO hook.py line 109 1688082] Train: [29/100][300/300] Data 0.001 (0.006) Batch 0.185 (0.346) Remain 02:02:46 loss: 0.7375 Lr: 5.10427e-03 +[2025-02-27 04:37:53,191 INFO misc.py line 135 1688082] Train result: loss: 0.7914 +[2025-02-27 04:37:53,281 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:38:24,768 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5066 +[2025-02-27 04:38:24,810 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8244 +[2025-02-27 04:38:24,849 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8956 +[2025-02-27 04:38:24,892 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7809 +[2025-02-27 04:38:24,923 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8071 +[2025-02-27 04:38:24,973 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6360 +[2025-02-27 04:38:25,019 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0300 +[2025-02-27 04:38:25,057 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6995 +[2025-02-27 04:38:25,111 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2856 +[2025-02-27 04:38:25,160 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3051 +[2025-02-27 04:38:25,206 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.1030 +[2025-02-27 04:38:25,242 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0244 +[2025-02-27 04:38:25,291 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.7393 +[2025-02-27 04:38:25,331 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.2501 +[2025-02-27 04:38:25,365 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0281 +[2025-02-27 04:38:25,411 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3946 +[2025-02-27 04:38:25,451 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.1502 +[2025-02-27 04:38:25,486 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3542 +[2025-02-27 04:38:25,524 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1994 +[2025-02-27 04:38:25,557 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0480 +[2025-02-27 04:38:25,596 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4347 +[2025-02-27 04:38:25,634 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7229 +[2025-02-27 04:38:25,664 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0952 +[2025-02-27 04:38:25,704 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0316 +[2025-02-27 04:38:25,747 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0781 +[2025-02-27 04:38:25,785 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9072 +[2025-02-27 04:38:25,832 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8443 +[2025-02-27 04:38:25,863 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8251 +[2025-02-27 04:38:25,893 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4567 +[2025-02-27 04:38:25,942 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8148 +[2025-02-27 04:38:25,995 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8880 +[2025-02-27 04:38:26,031 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.1796 +[2025-02-27 04:38:26,082 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4295 +[2025-02-27 04:38:26,117 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2619 +[2025-02-27 04:38:26,151 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7172 +[2025-02-27 04:38:26,187 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0104 +[2025-02-27 04:38:26,221 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7547 +[2025-02-27 04:38:26,255 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5159 +[2025-02-27 04:38:26,313 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7259 +[2025-02-27 04:38:26,367 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7036 +[2025-02-27 04:38:26,415 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1268 +[2025-02-27 04:38:26,442 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4999 +[2025-02-27 04:38:26,473 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5593 +[2025-02-27 04:38:26,523 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7705 +[2025-02-27 04:38:26,552 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0513 +[2025-02-27 04:38:26,594 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0337 +[2025-02-27 04:38:26,631 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.9472 +[2025-02-27 04:38:26,662 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9399 +[2025-02-27 04:38:26,691 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.9692 +[2025-02-27 04:38:26,719 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4008 +[2025-02-27 04:38:26,747 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.5845 +[2025-02-27 04:38:26,778 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3333 +[2025-02-27 04:38:26,805 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5791 +[2025-02-27 04:38:26,836 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.8858 +[2025-02-27 04:38:26,869 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1902 +[2025-02-27 04:38:26,905 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4141 +[2025-02-27 04:38:26,935 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0669 +[2025-02-27 04:38:26,959 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8873 +[2025-02-27 04:38:26,994 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0269 +[2025-02-27 04:38:27,028 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9894 +[2025-02-27 04:38:27,054 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2088 +[2025-02-27 04:38:27,088 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8910 +[2025-02-27 04:38:27,120 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.1014 +[2025-02-27 04:38:27,171 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6376 +[2025-02-27 04:38:27,200 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.5162 +[2025-02-27 04:38:27,237 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0679 +[2025-02-27 04:38:27,272 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8444 +[2025-02-27 04:38:27,305 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2907 +[2025-02-27 04:38:27,334 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3905 +[2025-02-27 04:38:27,384 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4824 +[2025-02-27 04:38:27,423 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3914 +[2025-02-27 04:38:27,472 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.9963 +[2025-02-27 04:38:27,519 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7730 +[2025-02-27 04:38:27,556 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.7640 +[2025-02-27 04:38:27,600 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7021 +[2025-02-27 04:38:27,626 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0720 +[2025-02-27 04:38:27,679 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7016 +[2025-02-27 04:38:27,703 INFO hook.py line 289 1688082] Test: [78/78] Loss 1.0330 +[2025-02-27 04:38:28,824 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:38:28,824 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:38:28,824 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:38:28,824 INFO hook.py line 232 1688082] wall : 0.7350 0.9003 +[2025-02-27 04:38:28,824 INFO hook.py line 232 1688082] floor : 0.9352 0.9871 +[2025-02-27 04:38:28,824 INFO hook.py line 232 1688082] cabinet : 0.4392 0.6901 +[2025-02-27 04:38:28,824 INFO hook.py line 232 1688082] bed : 0.6319 0.8508 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] chair : 0.7997 0.8580 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] sofa : 0.6069 0.8996 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] table : 0.5516 0.6518 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] door : 0.3567 0.3903 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] window : 0.3142 0.3772 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] bookshelf : 0.6240 0.6786 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] picture : 0.1241 0.1967 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] counter : 0.4357 0.6040 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] desk : 0.4403 0.5657 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] curtain : 0.2643 0.2896 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] refridgerator : 0.2936 0.3848 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] shower curtain : 0.3471 0.7374 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] toilet : 0.6775 0.9125 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] sink : 0.4315 0.5997 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] bathtub : 0.6442 0.8743 +[2025-02-27 04:38:28,825 INFO hook.py line 232 1688082] otherfurniture : 0.3510 0.4768 +[2025-02-27 04:38:28,825 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:38:28,825 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5002/0.6463/0.8105. +[2025-02-27 04:38:28,826 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:38:28,836 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5287 +[2025-02-27 04:38:28,837 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:38:48,683 INFO hook.py line 109 1688082] Train: [30/100][50/300] Data 0.003 (0.005) Batch 0.282 (0.289) Remain 01:42:11 loss: 0.7355 Lr: 5.09246e-03 +[2025-02-27 04:39:01,666 INFO hook.py line 109 1688082] Train: [30/100][100/300] Data 0.003 (0.005) Batch 0.247 (0.274) Remain 01:36:40 loss: 0.8631 Lr: 5.08058e-03 +[2025-02-27 04:39:23,039 INFO hook.py line 109 1688082] Train: [30/100][150/300] Data 0.002 (0.006) Batch 0.318 (0.326) Remain 01:54:54 loss: 0.9994 Lr: 5.06863e-03 +[2025-02-27 04:39:43,006 INFO hook.py line 109 1688082] Train: [30/100][200/300] Data 0.008 (0.007) Batch 0.338 (0.345) Remain 02:01:09 loss: 0.3791 Lr: 5.05663e-03 +[2025-02-27 04:40:02,624 INFO hook.py line 109 1688082] Train: [30/100][250/300] Data 0.014 (0.008) Batch 0.421 (0.354) Remain 02:04:16 loss: 0.6750 Lr: 5.04456e-03 +[2025-02-27 04:40:16,549 INFO hook.py line 109 1688082] Train: [30/100][300/300] Data 0.001 (0.007) Batch 0.187 (0.342) Remain 01:59:31 loss: 0.5739 Lr: 5.03243e-03 +[2025-02-27 04:40:16,549 INFO misc.py line 135 1688082] Train result: loss: 0.7945 +[2025-02-27 04:40:16,649 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:40:36,663 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4576 +[2025-02-27 04:40:36,727 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8363 +[2025-02-27 04:40:36,762 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7628 +[2025-02-27 04:40:36,821 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6008 +[2025-02-27 04:40:36,861 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6261 +[2025-02-27 04:40:36,917 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.4151 +[2025-02-27 04:40:36,968 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8046 +[2025-02-27 04:40:37,006 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.9368 +[2025-02-27 04:40:37,054 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3153 +[2025-02-27 04:40:37,097 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1633 +[2025-02-27 04:40:37,142 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8048 +[2025-02-27 04:40:37,175 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.4180 +[2025-02-27 04:40:37,221 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4666 +[2025-02-27 04:40:37,266 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5187 +[2025-02-27 04:40:37,313 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0850 +[2025-02-27 04:40:37,358 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2524 +[2025-02-27 04:40:37,394 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.3151 +[2025-02-27 04:40:37,430 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0979 +[2025-02-27 04:40:37,473 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3880 +[2025-02-27 04:40:37,509 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0988 +[2025-02-27 04:40:37,541 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3113 +[2025-02-27 04:40:37,578 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7553 +[2025-02-27 04:40:37,616 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9811 +[2025-02-27 04:40:37,672 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0694 +[2025-02-27 04:40:37,715 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0270 +[2025-02-27 04:40:37,761 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9829 +[2025-02-27 04:40:37,808 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6047 +[2025-02-27 04:40:37,850 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.1900 +[2025-02-27 04:40:37,882 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4620 +[2025-02-27 04:40:37,935 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8433 +[2025-02-27 04:40:37,989 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7754 +[2025-02-27 04:40:38,032 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9365 +[2025-02-27 04:40:38,086 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2664 +[2025-02-27 04:40:38,128 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3354 +[2025-02-27 04:40:38,164 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5862 +[2025-02-27 04:40:38,204 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1470 +[2025-02-27 04:40:38,240 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6330 +[2025-02-27 04:40:38,278 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4644 +[2025-02-27 04:40:38,344 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.4801 +[2025-02-27 04:40:38,386 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9834 +[2025-02-27 04:40:38,429 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3089 +[2025-02-27 04:40:38,459 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4323 +[2025-02-27 04:40:38,494 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4775 +[2025-02-27 04:40:38,550 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7855 +[2025-02-27 04:40:38,582 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.7258 +[2025-02-27 04:40:38,625 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9908 +[2025-02-27 04:40:38,661 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1505 +[2025-02-27 04:40:38,692 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8176 +[2025-02-27 04:40:38,723 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8150 +[2025-02-27 04:40:38,754 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1042 +[2025-02-27 04:40:38,782 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.7152 +[2025-02-27 04:40:38,814 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4205 +[2025-02-27 04:40:38,847 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5697 +[2025-02-27 04:40:38,890 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.1547 +[2025-02-27 04:40:38,930 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2126 +[2025-02-27 04:40:38,969 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4314 +[2025-02-27 04:40:39,001 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9079 +[2025-02-27 04:40:39,030 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8049 +[2025-02-27 04:40:39,067 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1940 +[2025-02-27 04:40:39,098 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.8792 +[2025-02-27 04:40:39,121 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2807 +[2025-02-27 04:40:39,153 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9143 +[2025-02-27 04:40:39,187 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3471 +[2025-02-27 04:40:39,240 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6685 +[2025-02-27 04:40:39,273 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.5516 +[2025-02-27 04:40:39,314 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7460 +[2025-02-27 04:40:39,351 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7359 +[2025-02-27 04:40:39,383 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1703 +[2025-02-27 04:40:39,413 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4026 +[2025-02-27 04:40:39,464 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.8132 +[2025-02-27 04:40:39,505 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6758 +[2025-02-27 04:40:39,553 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.8492 +[2025-02-27 04:40:39,599 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7322 +[2025-02-27 04:40:39,638 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1405 +[2025-02-27 04:40:39,684 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8761 +[2025-02-27 04:40:39,713 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2206 +[2025-02-27 04:40:39,764 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8337 +[2025-02-27 04:40:39,789 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.9195 +[2025-02-27 04:40:41,298 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:40:41,299 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:40:41,299 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] wall : 0.7523 0.9007 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] floor : 0.9431 0.9682 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] cabinet : 0.4486 0.5924 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] bed : 0.6225 0.7990 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] chair : 0.8037 0.8807 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] sofa : 0.6713 0.8775 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] table : 0.5511 0.5981 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] door : 0.4473 0.6716 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] window : 0.4012 0.5095 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] bookshelf : 0.6349 0.7778 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] picture : 0.1179 0.1482 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] counter : 0.4884 0.6464 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] desk : 0.4422 0.6195 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] curtain : 0.4960 0.6036 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] refridgerator : 0.3362 0.4567 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] shower curtain : 0.5059 0.6539 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] toilet : 0.7263 0.9300 +[2025-02-27 04:40:41,299 INFO hook.py line 232 1688082] sink : 0.5326 0.6306 +[2025-02-27 04:40:41,300 INFO hook.py line 232 1688082] bathtub : 0.6398 0.8212 +[2025-02-27 04:40:41,300 INFO hook.py line 232 1688082] otherfurniture : 0.3241 0.4381 +[2025-02-27 04:40:41,300 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:40:41,300 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5443/0.6762/0.8232. +[2025-02-27 04:40:41,300 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:40:41,320 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5443 +[2025-02-27 04:40:41,321 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:40:41,321 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:41:08,398 INFO hook.py line 109 1688082] Train: [31/100][50/300] Data 0.004 (0.009) Batch 0.300 (0.387) Remain 02:15:00 loss: 0.6199 Lr: 5.02024e-03 +[2025-02-27 04:41:27,282 INFO hook.py line 109 1688082] Train: [31/100][100/300] Data 0.003 (0.009) Batch 0.419 (0.382) Remain 02:13:04 loss: 0.5650 Lr: 5.00798e-03 +[2025-02-27 04:41:45,959 INFO hook.py line 109 1688082] Train: [31/100][150/300] Data 0.004 (0.008) Batch 0.412 (0.379) Remain 02:11:44 loss: 0.6872 Lr: 4.99567e-03 +[2025-02-27 04:42:05,271 INFO hook.py line 109 1688082] Train: [31/100][200/300] Data 0.008 (0.009) Batch 0.317 (0.381) Remain 02:12:03 loss: 0.2540 Lr: 4.98329e-03 +[2025-02-27 04:42:18,509 INFO hook.py line 109 1688082] Train: [31/100][250/300] Data 0.007 (0.008) Batch 0.261 (0.357) Remain 02:03:36 loss: 0.7665 Lr: 4.97086e-03 +[2025-02-27 04:42:34,035 INFO hook.py line 109 1688082] Train: [31/100][300/300] Data 0.002 (0.007) Batch 0.315 (0.350) Remain 02:00:35 loss: 0.7482 Lr: 4.95836e-03 +[2025-02-27 04:42:34,036 INFO misc.py line 135 1688082] Train result: loss: 0.7618 +[2025-02-27 04:42:34,173 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:42:55,502 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5447 +[2025-02-27 04:42:55,652 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9440 +[2025-02-27 04:42:55,704 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7491 +[2025-02-27 04:42:55,760 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6431 +[2025-02-27 04:42:55,801 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8059 +[2025-02-27 04:42:55,866 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1334 +[2025-02-27 04:42:55,929 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0379 +[2025-02-27 04:42:55,970 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5949 +[2025-02-27 04:43:03,208 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1423 +[2025-02-27 04:43:03,264 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.2128 +[2025-02-27 04:43:04,697 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7559 +[2025-02-27 04:43:04,735 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2481 +[2025-02-27 04:43:04,796 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3438 +[2025-02-27 04:43:04,835 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.4508 +[2025-02-27 04:43:04,875 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2268 +[2025-02-27 04:43:05,564 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2720 +[2025-02-27 04:43:05,598 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0014 +[2025-02-27 04:43:05,630 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.6200 +[2025-02-27 04:43:05,677 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4940 +[2025-02-27 04:43:05,711 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0039 +[2025-02-27 04:43:05,749 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3910 +[2025-02-27 04:43:05,786 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.4173 +[2025-02-27 04:43:05,811 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2101 +[2025-02-27 04:43:05,855 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3583 +[2025-02-27 04:43:05,894 INFO hook.py line 289 1688082] Test: [25/78] Loss 0.8754 +[2025-02-27 04:43:05,938 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8003 +[2025-02-27 04:43:05,985 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3981 +[2025-02-27 04:43:06,016 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.2922 +[2025-02-27 04:43:06,051 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3811 +[2025-02-27 04:43:06,106 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6950 +[2025-02-27 04:43:06,171 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6891 +[2025-02-27 04:43:06,214 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8510 +[2025-02-27 04:43:06,269 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3543 +[2025-02-27 04:43:06,306 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3844 +[2025-02-27 04:43:06,344 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6876 +[2025-02-27 04:43:06,384 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2855 +[2025-02-27 04:43:06,423 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5903 +[2025-02-27 04:43:06,453 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4971 +[2025-02-27 04:43:06,510 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7692 +[2025-02-27 04:43:06,552 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9509 +[2025-02-27 04:43:06,594 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0444 +[2025-02-27 04:43:06,621 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4952 +[2025-02-27 04:43:06,663 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5971 +[2025-02-27 04:43:06,719 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9897 +[2025-02-27 04:43:06,756 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.2648 +[2025-02-27 04:43:06,803 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9912 +[2025-02-27 04:43:06,838 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1729 +[2025-02-27 04:43:06,869 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.0925 +[2025-02-27 04:43:06,900 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6233 +[2025-02-27 04:43:06,931 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.9723 +[2025-02-27 04:43:06,959 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.1364 +[2025-02-27 04:43:06,992 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4888 +[2025-02-27 04:43:07,016 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4558 +[2025-02-27 04:43:07,050 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.9872 +[2025-02-27 04:43:07,086 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2611 +[2025-02-27 04:43:07,124 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3284 +[2025-02-27 04:43:07,156 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2068 +[2025-02-27 04:43:07,182 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1741 +[2025-02-27 04:43:07,219 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1748 +[2025-02-27 04:43:07,253 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1025 +[2025-02-27 04:43:07,276 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.8489 +[2025-02-27 04:43:07,308 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8166 +[2025-02-27 04:43:07,342 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6136 +[2025-02-27 04:43:07,397 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6274 +[2025-02-27 04:43:07,424 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4292 +[2025-02-27 04:43:07,463 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9814 +[2025-02-27 04:43:07,500 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6370 +[2025-02-27 04:43:07,532 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.8670 +[2025-02-27 04:43:07,562 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3904 +[2025-02-27 04:43:07,615 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2688 +[2025-02-27 04:43:07,656 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4576 +[2025-02-27 04:43:07,704 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.8304 +[2025-02-27 04:43:07,750 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5120 +[2025-02-27 04:43:07,790 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.7671 +[2025-02-27 04:43:07,836 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6217 +[2025-02-27 04:43:07,865 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3092 +[2025-02-27 04:43:07,916 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5192 +[2025-02-27 04:43:07,944 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6478 +[2025-02-27 04:43:09,508 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:43:09,509 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:43:09,509 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] wall : 0.7421 0.9239 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] floor : 0.9477 0.9711 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] cabinet : 0.4078 0.4959 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] bed : 0.5936 0.6376 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] chair : 0.7753 0.8961 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] sofa : 0.6348 0.8228 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] table : 0.5822 0.7863 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] door : 0.3142 0.3634 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] window : 0.3674 0.5047 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] bookshelf : 0.5525 0.6910 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] picture : 0.0739 0.0827 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] counter : 0.4041 0.7415 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] desk : 0.4292 0.5194 +[2025-02-27 04:43:09,509 INFO hook.py line 232 1688082] curtain : 0.4693 0.5473 +[2025-02-27 04:43:09,510 INFO hook.py line 232 1688082] refridgerator : 0.3184 0.3666 +[2025-02-27 04:43:09,510 INFO hook.py line 232 1688082] shower curtain : 0.4709 0.6266 +[2025-02-27 04:43:09,510 INFO hook.py line 232 1688082] toilet : 0.6550 0.9082 +[2025-02-27 04:43:09,510 INFO hook.py line 232 1688082] sink : 0.4667 0.5742 +[2025-02-27 04:43:09,510 INFO hook.py line 232 1688082] bathtub : 0.5580 0.7121 +[2025-02-27 04:43:09,510 INFO hook.py line 232 1688082] otherfurniture : 0.3300 0.4736 +[2025-02-27 04:43:09,510 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:43:09,510 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5047/0.6323/0.8128. +[2025-02-27 04:43:09,511 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:43:09,526 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:43:09,527 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:43:37,308 INFO hook.py line 109 1688082] Train: [32/100][50/300] Data 0.004 (0.008) Batch 0.335 (0.392) Remain 02:14:52 loss: 0.6115 Lr: 4.94581e-03 +[2025-02-27 04:43:56,132 INFO hook.py line 109 1688082] Train: [32/100][100/300] Data 0.004 (0.007) Batch 0.382 (0.384) Remain 02:11:48 loss: 0.4426 Lr: 4.93319e-03 +[2025-02-27 04:44:14,001 INFO hook.py line 109 1688082] Train: [32/100][150/300] Data 0.004 (0.007) Batch 0.299 (0.375) Remain 02:08:24 loss: 0.5405 Lr: 4.92052e-03 +[2025-02-27 04:44:32,843 INFO hook.py line 109 1688082] Train: [32/100][200/300] Data 0.014 (0.008) Batch 0.430 (0.375) Remain 02:08:15 loss: 0.5788 Lr: 4.90779e-03 +[2025-02-27 04:44:51,442 INFO hook.py line 109 1688082] Train: [32/100][250/300] Data 0.010 (0.008) Batch 0.333 (0.375) Remain 02:07:42 loss: 0.8960 Lr: 4.89500e-03 +[2025-02-27 04:45:05,342 INFO hook.py line 109 1688082] Train: [32/100][300/300] Data 0.001 (0.007) Batch 0.185 (0.358) Remain 02:01:51 loss: 0.8097 Lr: 4.88216e-03 +[2025-02-27 04:45:05,343 INFO misc.py line 135 1688082] Train result: loss: 0.7620 +[2025-02-27 04:45:05,427 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:45:24,423 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5306 +[2025-02-27 04:45:24,481 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8126 +[2025-02-27 04:45:25,138 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5520 +[2025-02-27 04:45:25,186 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6567 +[2025-02-27 04:45:25,222 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.5467 +[2025-02-27 04:45:25,271 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7797 +[2025-02-27 04:45:25,318 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9858 +[2025-02-27 04:45:25,354 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5870 +[2025-02-27 04:45:25,395 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2474 +[2025-02-27 04:45:25,437 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5473 +[2025-02-27 04:45:25,480 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6888 +[2025-02-27 04:45:25,522 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.5928 +[2025-02-27 04:45:25,576 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0797 +[2025-02-27 04:45:25,612 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0537 +[2025-02-27 04:45:25,657 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8484 +[2025-02-27 04:45:25,700 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4600 +[2025-02-27 04:45:25,736 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.2591 +[2025-02-27 04:45:25,767 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0952 +[2025-02-27 04:45:25,813 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3889 +[2025-02-27 04:45:25,848 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0390 +[2025-02-27 04:45:25,883 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4060 +[2025-02-27 04:45:25,922 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6994 +[2025-02-27 04:45:25,953 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1050 +[2025-02-27 04:45:25,994 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2655 +[2025-02-27 04:45:26,033 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1149 +[2025-02-27 04:45:26,073 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8621 +[2025-02-27 04:45:26,120 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8698 +[2025-02-27 04:45:26,166 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7313 +[2025-02-27 04:45:26,198 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4361 +[2025-02-27 04:45:26,249 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8573 +[2025-02-27 04:45:26,303 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6668 +[2025-02-27 04:45:26,337 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9326 +[2025-02-27 04:45:26,388 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4877 +[2025-02-27 04:45:26,434 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1528 +[2025-02-27 04:45:26,479 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6923 +[2025-02-27 04:45:26,518 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1163 +[2025-02-27 04:45:26,552 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6747 +[2025-02-27 04:45:26,580 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5128 +[2025-02-27 04:45:26,636 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9475 +[2025-02-27 04:45:26,687 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.5961 +[2025-02-27 04:45:26,729 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3020 +[2025-02-27 04:45:26,757 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5174 +[2025-02-27 04:45:26,802 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7082 +[2025-02-27 04:45:26,853 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7811 +[2025-02-27 04:45:26,891 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9904 +[2025-02-27 04:45:26,938 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8076 +[2025-02-27 04:45:26,973 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.7829 +[2025-02-27 04:45:27,004 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7403 +[2025-02-27 04:45:27,036 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7817 +[2025-02-27 04:45:27,066 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2157 +[2025-02-27 04:45:27,094 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4321 +[2025-02-27 04:45:27,125 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2396 +[2025-02-27 04:45:27,149 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.7369 +[2025-02-27 04:45:27,182 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3981 +[2025-02-27 04:45:27,218 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2095 +[2025-02-27 04:45:27,257 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4811 +[2025-02-27 04:45:27,289 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.6319 +[2025-02-27 04:45:27,316 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1208 +[2025-02-27 04:45:27,353 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1668 +[2025-02-27 04:45:27,384 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1151 +[2025-02-27 04:45:27,408 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0554 +[2025-02-27 04:45:27,440 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9732 +[2025-02-27 04:45:27,474 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5874 +[2025-02-27 04:45:27,529 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6288 +[2025-02-27 04:45:27,556 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2722 +[2025-02-27 04:45:27,595 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.1970 +[2025-02-27 04:45:27,631 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8092 +[2025-02-27 04:45:27,663 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1061 +[2025-02-27 04:45:27,692 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3954 +[2025-02-27 04:45:27,743 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1705 +[2025-02-27 04:45:27,788 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4207 +[2025-02-27 04:45:27,836 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5328 +[2025-02-27 04:45:27,882 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.9039 +[2025-02-27 04:45:27,922 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.5743 +[2025-02-27 04:45:27,968 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5366 +[2025-02-27 04:45:27,996 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1888 +[2025-02-27 04:45:28,047 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8441 +[2025-02-27 04:45:28,073 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6844 +[2025-02-27 04:45:29,319 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:45:29,320 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:45:29,320 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:45:29,320 INFO hook.py line 232 1688082] wall : 0.7319 0.8245 +[2025-02-27 04:45:29,320 INFO hook.py line 232 1688082] floor : 0.9373 0.9874 +[2025-02-27 04:45:29,320 INFO hook.py line 232 1688082] cabinet : 0.4214 0.5801 +[2025-02-27 04:45:29,320 INFO hook.py line 232 1688082] bed : 0.6721 0.7856 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] chair : 0.7752 0.8513 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] sofa : 0.5911 0.9243 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] table : 0.5738 0.6907 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] door : 0.4056 0.6493 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] window : 0.3891 0.6040 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] bookshelf : 0.6189 0.7730 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] picture : 0.1441 0.2522 +[2025-02-27 04:45:29,321 INFO hook.py line 232 1688082] counter : 0.3603 0.7988 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] desk : 0.3851 0.5407 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] curtain : 0.5004 0.5913 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] refridgerator : 0.2385 0.5199 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] shower curtain : 0.4133 0.4804 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] toilet : 0.8152 0.8536 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] sink : 0.4379 0.4888 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] bathtub : 0.7036 0.7798 +[2025-02-27 04:45:29,322 INFO hook.py line 232 1688082] otherfurniture : 0.3601 0.4354 +[2025-02-27 04:45:29,323 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:45:29,323 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5237/0.6706/0.8079. +[2025-02-27 04:45:29,324 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:45:29,336 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:45:29,336 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:45:51,108 INFO hook.py line 109 1688082] Train: [33/100][50/300] Data 0.004 (0.006) Batch 0.236 (0.285) Remain 01:36:48 loss: 1.0347 Lr: 4.86925e-03 +[2025-02-27 04:46:08,192 INFO hook.py line 109 1688082] Train: [33/100][100/300] Data 0.006 (0.006) Batch 0.350 (0.314) Remain 01:46:22 loss: 0.7479 Lr: 4.85629e-03 +[2025-02-27 04:46:28,262 INFO hook.py line 109 1688082] Train: [33/100][150/300] Data 0.004 (0.006) Batch 0.237 (0.344) Remain 01:56:05 loss: 1.0861 Lr: 4.84328e-03 +[2025-02-27 04:46:47,516 INFO hook.py line 109 1688082] Train: [33/100][200/300] Data 0.005 (0.006) Batch 0.446 (0.354) Remain 01:59:18 loss: 0.7075 Lr: 4.83020e-03 +[2025-02-27 04:47:07,303 INFO hook.py line 109 1688082] Train: [33/100][250/300] Data 0.003 (0.007) Batch 0.303 (0.363) Remain 02:01:50 loss: 0.7430 Lr: 4.81707e-03 +[2025-02-27 04:47:20,916 INFO hook.py line 109 1688082] Train: [33/100][300/300] Data 0.001 (0.006) Batch 0.205 (0.348) Remain 01:56:25 loss: 0.4700 Lr: 4.80389e-03 +[2025-02-27 04:47:20,917 INFO misc.py line 135 1688082] Train result: loss: 0.7503 +[2025-02-27 04:47:21,004 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:47:40,517 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5652 +[2025-02-27 04:47:41,323 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1650 +[2025-02-27 04:47:41,369 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7714 +[2025-02-27 04:47:41,418 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6875 +[2025-02-27 04:47:41,463 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7449 +[2025-02-27 04:47:41,525 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5848 +[2025-02-27 04:47:41,573 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9838 +[2025-02-27 04:47:41,605 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5313 +[2025-02-27 04:47:41,656 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3820 +[2025-02-27 04:47:41,697 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4608 +[2025-02-27 04:47:41,742 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7856 +[2025-02-27 04:47:41,788 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1812 +[2025-02-27 04:47:41,842 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5101 +[2025-02-27 04:47:41,893 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1004 +[2025-02-27 04:47:41,927 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0379 +[2025-02-27 04:47:41,973 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4211 +[2025-02-27 04:47:42,008 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.2157 +[2025-02-27 04:47:42,039 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1976 +[2025-02-27 04:47:42,081 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3668 +[2025-02-27 04:47:42,113 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.3287 +[2025-02-27 04:47:42,148 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4441 +[2025-02-27 04:47:42,188 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.0318 +[2025-02-27 04:47:42,215 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1142 +[2025-02-27 04:47:42,256 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.9750 +[2025-02-27 04:47:42,298 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2655 +[2025-02-27 04:47:42,339 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7883 +[2025-02-27 04:47:42,385 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9555 +[2025-02-27 04:47:42,429 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6716 +[2025-02-27 04:47:42,460 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4849 +[2025-02-27 04:47:42,517 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6185 +[2025-02-27 04:47:42,569 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9240 +[2025-02-27 04:47:42,602 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9847 +[2025-02-27 04:47:42,653 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3058 +[2025-02-27 04:47:42,700 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3854 +[2025-02-27 04:47:42,740 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.3746 +[2025-02-27 04:47:42,781 INFO hook.py line 289 1688082] Test: [36/78] Loss 0.8636 +[2025-02-27 04:47:42,815 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5269 +[2025-02-27 04:47:42,856 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6936 +[2025-02-27 04:47:42,911 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0615 +[2025-02-27 04:47:42,956 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9299 +[2025-02-27 04:47:43,007 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1761 +[2025-02-27 04:47:43,034 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3883 +[2025-02-27 04:47:43,068 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6934 +[2025-02-27 04:47:43,121 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8269 +[2025-02-27 04:47:43,155 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1506 +[2025-02-27 04:47:43,198 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.6556 +[2025-02-27 04:47:43,233 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1316 +[2025-02-27 04:47:43,264 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8340 +[2025-02-27 04:47:43,301 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7140 +[2025-02-27 04:47:43,341 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1711 +[2025-02-27 04:47:43,369 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0917 +[2025-02-27 04:47:43,400 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3571 +[2025-02-27 04:47:43,424 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3910 +[2025-02-27 04:47:43,457 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3493 +[2025-02-27 04:47:43,491 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1787 +[2025-02-27 04:47:43,530 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3487 +[2025-02-27 04:47:43,560 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1829 +[2025-02-27 04:47:43,586 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0695 +[2025-02-27 04:47:43,622 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0644 +[2025-02-27 04:47:43,654 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9297 +[2025-02-27 04:47:43,678 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0167 +[2025-02-27 04:47:43,709 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9309 +[2025-02-27 04:47:43,743 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.0924 +[2025-02-27 04:47:43,797 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.4556 +[2025-02-27 04:47:43,823 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2318 +[2025-02-27 04:47:43,861 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9556 +[2025-02-27 04:47:43,897 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8940 +[2025-02-27 04:47:43,937 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2181 +[2025-02-27 04:47:43,966 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.2940 +[2025-02-27 04:47:44,017 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5352 +[2025-02-27 04:47:44,057 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5269 +[2025-02-27 04:47:44,105 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4905 +[2025-02-27 04:47:44,152 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5808 +[2025-02-27 04:47:44,190 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4285 +[2025-02-27 04:47:44,235 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.9043 +[2025-02-27 04:47:44,263 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2074 +[2025-02-27 04:47:44,314 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4878 +[2025-02-27 04:47:44,340 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6482 +[2025-02-27 04:47:45,735 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:47:45,736 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:47:45,736 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] wall : 0.7513 0.9090 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] floor : 0.9458 0.9800 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] cabinet : 0.4190 0.4733 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] bed : 0.6000 0.7744 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] chair : 0.7745 0.8173 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] sofa : 0.6281 0.9032 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] table : 0.5548 0.6520 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] door : 0.4076 0.5043 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] window : 0.3747 0.4863 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] bookshelf : 0.6184 0.7625 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] picture : 0.1466 0.2220 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] counter : 0.4384 0.7431 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] desk : 0.4513 0.7418 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] curtain : 0.5151 0.7524 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] refridgerator : 0.3098 0.3933 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] shower curtain : 0.5003 0.5706 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] toilet : 0.5659 0.9291 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] sink : 0.4945 0.5694 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] bathtub : 0.5782 0.7196 +[2025-02-27 04:47:45,736 INFO hook.py line 232 1688082] otherfurniture : 0.4004 0.5206 +[2025-02-27 04:47:45,737 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:47:45,737 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5237/0.6712/0.8210. +[2025-02-27 04:47:45,737 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:47:45,753 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:47:45,754 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:48:13,426 INFO hook.py line 109 1688082] Train: [34/100][50/300] Data 0.013 (0.008) Batch 0.381 (0.396) Remain 02:12:14 loss: 0.8965 Lr: 4.79065e-03 +[2025-02-27 04:48:31,715 INFO hook.py line 109 1688082] Train: [34/100][100/300] Data 0.004 (0.008) Batch 0.416 (0.380) Remain 02:06:46 loss: 0.8334 Lr: 4.77736e-03 +[2025-02-27 04:48:50,184 INFO hook.py line 109 1688082] Train: [34/100][150/300] Data 0.008 (0.007) Batch 0.358 (0.377) Remain 02:05:12 loss: 0.5834 Lr: 4.76401e-03 +[2025-02-27 04:49:08,395 INFO hook.py line 109 1688082] Train: [34/100][200/300] Data 0.004 (0.007) Batch 0.319 (0.373) Remain 02:03:51 loss: 1.3279 Lr: 4.75061e-03 +[2025-02-27 04:49:27,157 INFO hook.py line 109 1688082] Train: [34/100][250/300] Data 0.013 (0.008) Batch 0.354 (0.374) Remain 02:03:39 loss: 0.6317 Lr: 4.73716e-03 +[2025-02-27 04:49:40,752 INFO hook.py line 109 1688082] Train: [34/100][300/300] Data 0.001 (0.007) Batch 0.189 (0.357) Remain 01:57:41 loss: 0.4429 Lr: 4.72366e-03 +[2025-02-27 04:49:40,753 INFO misc.py line 135 1688082] Train result: loss: 0.7250 +[2025-02-27 04:49:40,838 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:49:54,853 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4533 +[2025-02-27 04:49:54,920 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8517 +[2025-02-27 04:49:55,028 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9890 +[2025-02-27 04:49:55,110 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7531 +[2025-02-27 04:49:55,189 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9061 +[2025-02-27 04:49:55,266 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1408 +[2025-02-27 04:49:55,323 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0018 +[2025-02-27 04:49:55,359 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4029 +[2025-02-27 04:49:55,403 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2793 +[2025-02-27 04:49:55,439 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4507 +[2025-02-27 04:49:55,493 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8195 +[2025-02-27 04:49:55,529 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3149 +[2025-02-27 04:49:55,585 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9916 +[2025-02-27 04:49:55,787 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.2728 +[2025-02-27 04:49:55,824 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9616 +[2025-02-27 04:49:55,874 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2041 +[2025-02-27 04:49:55,919 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8396 +[2025-02-27 04:49:55,960 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2512 +[2025-02-27 04:49:56,008 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1258 +[2025-02-27 04:49:56,048 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8853 +[2025-02-27 04:49:56,091 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3562 +[2025-02-27 04:49:56,137 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6352 +[2025-02-27 04:49:56,174 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2965 +[2025-02-27 04:49:56,217 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3819 +[2025-02-27 04:49:56,263 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2394 +[2025-02-27 04:49:56,306 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1567 +[2025-02-27 04:49:56,361 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.0172 +[2025-02-27 04:49:56,402 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6823 +[2025-02-27 04:49:56,440 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3767 +[2025-02-27 04:49:56,497 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.0696 +[2025-02-27 04:49:56,555 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8141 +[2025-02-27 04:49:56,595 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8785 +[2025-02-27 04:49:56,651 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.5456 +[2025-02-27 04:49:56,688 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3316 +[2025-02-27 04:49:56,729 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6895 +[2025-02-27 04:49:56,771 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0963 +[2025-02-27 04:49:56,812 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.1865 +[2025-02-27 04:49:56,850 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.7096 +[2025-02-27 04:49:56,913 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.2658 +[2025-02-27 04:49:56,966 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7670 +[2025-02-27 04:49:57,014 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1736 +[2025-02-27 04:49:57,054 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3379 +[2025-02-27 04:49:57,095 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4688 +[2025-02-27 04:49:57,155 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9970 +[2025-02-27 04:49:57,199 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0943 +[2025-02-27 04:49:57,253 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0269 +[2025-02-27 04:49:57,297 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3855 +[2025-02-27 04:49:57,337 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9132 +[2025-02-27 04:49:57,375 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8531 +[2025-02-27 04:49:57,414 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4110 +[2025-02-27 04:49:57,450 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4345 +[2025-02-27 04:49:57,492 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4215 +[2025-02-27 04:49:57,527 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6070 +[2025-02-27 04:49:57,569 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.9498 +[2025-02-27 04:49:57,604 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1467 +[2025-02-27 04:49:57,650 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4823 +[2025-02-27 04:49:57,691 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2085 +[2025-02-27 04:49:57,726 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8453 +[2025-02-27 04:49:57,767 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1765 +[2025-02-27 04:49:57,808 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0363 +[2025-02-27 04:49:57,841 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8913 +[2025-02-27 04:49:57,881 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1452 +[2025-02-27 04:49:57,924 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.1641 +[2025-02-27 04:49:57,985 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.5894 +[2025-02-27 04:49:58,019 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.7502 +[2025-02-27 04:49:58,067 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9256 +[2025-02-27 04:49:58,112 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7353 +[2025-02-27 04:49:58,154 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.4713 +[2025-02-27 04:49:58,190 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3533 +[2025-02-27 04:49:58,242 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2648 +[2025-02-27 04:49:58,289 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3365 +[2025-02-27 04:49:58,345 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5501 +[2025-02-27 04:49:58,399 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7546 +[2025-02-27 04:49:58,443 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.7879 +[2025-02-27 04:49:58,489 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6621 +[2025-02-27 04:49:58,524 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2934 +[2025-02-27 04:49:58,583 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.9194 +[2025-02-27 04:49:58,618 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5805 +[2025-02-27 04:50:00,221 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:50:00,222 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:50:00,222 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] wall : 0.7335 0.8926 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] floor : 0.9428 0.9799 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] cabinet : 0.4072 0.6294 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] bed : 0.6755 0.7623 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] chair : 0.7994 0.8656 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] sofa : 0.6901 0.8424 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] table : 0.5593 0.7281 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] door : 0.3019 0.3334 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] window : 0.3788 0.5529 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] bookshelf : 0.6406 0.8081 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] picture : 0.1433 0.3788 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] counter : 0.4441 0.6979 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] desk : 0.4308 0.6086 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] curtain : 0.3991 0.4241 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] refridgerator : 0.2705 0.3637 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] shower curtain : 0.5040 0.5777 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] toilet : 0.7478 0.8030 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] sink : 0.4417 0.5393 +[2025-02-27 04:50:00,222 INFO hook.py line 232 1688082] bathtub : 0.4897 0.8863 +[2025-02-27 04:50:00,223 INFO hook.py line 232 1688082] otherfurniture : 0.3208 0.3901 +[2025-02-27 04:50:00,223 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:50:00,223 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5161/0.6532/0.8108. +[2025-02-27 04:50:00,226 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:50:00,232 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:50:00,233 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:50:24,371 INFO hook.py line 109 1688082] Train: [35/100][50/300] Data 0.003 (0.007) Batch 0.371 (0.344) Remain 01:53:16 loss: 0.3453 Lr: 4.71010e-03 +[2025-02-27 04:50:38,880 INFO hook.py line 109 1688082] Train: [35/100][100/300] Data 0.004 (0.005) Batch 0.250 (0.316) Remain 01:43:51 loss: 0.9217 Lr: 4.69649e-03 +[2025-02-27 04:51:01,933 INFO hook.py line 109 1688082] Train: [35/100][150/300] Data 0.008 (0.007) Batch 0.354 (0.366) Remain 01:59:43 loss: 0.2729 Lr: 4.68282e-03 +[2025-02-27 04:51:21,018 INFO hook.py line 109 1688082] Train: [35/100][200/300] Data 0.014 (0.007) Batch 0.328 (0.370) Remain 02:00:45 loss: 0.6383 Lr: 4.66911e-03 +[2025-02-27 04:51:39,206 INFO hook.py line 109 1688082] Train: [35/100][250/300] Data 0.003 (0.007) Batch 0.375 (0.368) Remain 02:00:03 loss: 0.7563 Lr: 4.65535e-03 +[2025-02-27 04:51:52,754 INFO hook.py line 109 1688082] Train: [35/100][300/300] Data 0.001 (0.007) Batch 0.182 (0.352) Remain 01:54:24 loss: 0.8468 Lr: 4.64153e-03 +[2025-02-27 04:51:52,755 INFO misc.py line 135 1688082] Train result: loss: 0.6974 +[2025-02-27 04:51:52,846 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:52:12,828 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4726 +[2025-02-27 04:52:12,872 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0510 +[2025-02-27 04:52:12,912 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7948 +[2025-02-27 04:52:12,973 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6673 +[2025-02-27 04:52:13,014 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9189 +[2025-02-27 04:52:13,110 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6319 +[2025-02-27 04:52:13,501 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1413 +[2025-02-27 04:52:13,532 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3499 +[2025-02-27 04:52:13,574 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2284 +[2025-02-27 04:52:13,604 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4787 +[2025-02-27 04:52:13,647 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.5812 +[2025-02-27 04:52:13,699 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3123 +[2025-02-27 04:52:13,747 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.8849 +[2025-02-27 04:52:13,791 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.8824 +[2025-02-27 04:52:13,826 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0544 +[2025-02-27 04:52:13,868 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2553 +[2025-02-27 04:52:13,904 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8166 +[2025-02-27 04:52:13,937 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2253 +[2025-02-27 04:52:13,980 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6407 +[2025-02-27 04:52:14,017 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8823 +[2025-02-27 04:52:14,056 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3947 +[2025-02-27 04:52:14,099 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5260 +[2025-02-27 04:52:14,141 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0187 +[2025-02-27 04:52:14,182 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2820 +[2025-02-27 04:52:14,220 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2122 +[2025-02-27 04:52:14,262 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1944 +[2025-02-27 04:52:14,309 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4146 +[2025-02-27 04:52:14,345 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8089 +[2025-02-27 04:52:14,385 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4098 +[2025-02-27 04:52:14,437 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6845 +[2025-02-27 04:52:14,499 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5917 +[2025-02-27 04:52:14,531 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7159 +[2025-02-27 04:52:14,581 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3540 +[2025-02-27 04:52:14,627 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3932 +[2025-02-27 04:52:14,670 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5386 +[2025-02-27 04:52:14,716 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4738 +[2025-02-27 04:52:14,760 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5260 +[2025-02-27 04:52:14,790 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5618 +[2025-02-27 04:52:14,848 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9885 +[2025-02-27 04:52:14,891 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8858 +[2025-02-27 04:52:14,936 INFO hook.py line 289 1688082] Test: [41/78] Loss 0.9504 +[2025-02-27 04:52:14,970 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5029 +[2025-02-27 04:52:15,013 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5994 +[2025-02-27 04:52:15,075 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.1066 +[2025-02-27 04:52:15,114 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8023 +[2025-02-27 04:52:15,158 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0878 +[2025-02-27 04:52:15,192 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.8965 +[2025-02-27 04:52:15,224 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.1303 +[2025-02-27 04:52:15,255 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6411 +[2025-02-27 04:52:15,286 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1614 +[2025-02-27 04:52:15,313 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.8838 +[2025-02-27 04:52:15,346 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.0388 +[2025-02-27 04:52:15,371 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5500 +[2025-02-27 04:52:15,404 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.0844 +[2025-02-27 04:52:15,439 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1501 +[2025-02-27 04:52:15,478 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3033 +[2025-02-27 04:52:15,509 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9857 +[2025-02-27 04:52:15,535 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0992 +[2025-02-27 04:52:15,577 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1085 +[2025-02-27 04:52:15,608 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.4214 +[2025-02-27 04:52:15,632 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8848 +[2025-02-27 04:52:15,664 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0366 +[2025-02-27 04:52:15,698 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6761 +[2025-02-27 04:52:15,751 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6847 +[2025-02-27 04:52:15,777 INFO hook.py line 289 1688082] Test: [65/78] Loss 0.9869 +[2025-02-27 04:52:15,816 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9112 +[2025-02-27 04:52:15,852 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7292 +[2025-02-27 04:52:15,883 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9521 +[2025-02-27 04:52:15,912 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4386 +[2025-02-27 04:52:15,963 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2188 +[2025-02-27 04:52:16,004 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.0261 +[2025-02-27 04:52:16,051 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4884 +[2025-02-27 04:52:16,097 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5078 +[2025-02-27 04:52:16,135 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.7812 +[2025-02-27 04:52:16,181 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5067 +[2025-02-27 04:52:16,208 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2782 +[2025-02-27 04:52:16,259 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7742 +[2025-02-27 04:52:16,284 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5799 +[2025-02-27 04:52:17,563 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:52:17,563 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:52:17,564 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] wall : 0.7439 0.8491 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] floor : 0.9460 0.9667 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] cabinet : 0.4951 0.6321 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] bed : 0.6492 0.6769 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] chair : 0.7890 0.9416 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] sofa : 0.6765 0.7539 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] table : 0.5772 0.8185 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] door : 0.3983 0.5267 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] window : 0.3583 0.5620 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] bookshelf : 0.6157 0.8398 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] picture : 0.1670 0.2668 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] counter : 0.4637 0.5757 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] desk : 0.3590 0.4402 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] curtain : 0.5005 0.7758 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] refridgerator : 0.3395 0.5296 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] shower curtain : 0.4337 0.7311 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] toilet : 0.6425 0.9630 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] sink : 0.5006 0.6972 +[2025-02-27 04:52:17,564 INFO hook.py line 232 1688082] bathtub : 0.6145 0.8950 +[2025-02-27 04:52:17,565 INFO hook.py line 232 1688082] otherfurniture : 0.3901 0.5157 +[2025-02-27 04:52:17,565 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:52:17,565 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5330/0.6979/0.8187. +[2025-02-27 04:52:17,565 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:52:17,577 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:52:17,578 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:52:44,937 INFO hook.py line 109 1688082] Train: [36/100][50/300] Data 0.003 (0.008) Batch 0.480 (0.387) Remain 02:05:32 loss: 0.6460 Lr: 4.62767e-03 +[2025-02-27 04:53:04,163 INFO hook.py line 109 1688082] Train: [36/100][100/300] Data 0.012 (0.008) Batch 0.384 (0.386) Remain 02:04:44 loss: 0.8934 Lr: 4.61376e-03 +[2025-02-27 04:53:23,061 INFO hook.py line 109 1688082] Train: [36/100][150/300] Data 0.007 (0.008) Batch 0.435 (0.383) Remain 02:03:34 loss: 0.6385 Lr: 4.59979e-03 +[2025-02-27 04:53:41,576 INFO hook.py line 109 1688082] Train: [36/100][200/300] Data 0.006 (0.008) Batch 0.276 (0.380) Remain 02:02:12 loss: 0.4468 Lr: 4.58578e-03 +[2025-02-27 04:53:54,494 INFO hook.py line 109 1688082] Train: [36/100][250/300] Data 0.004 (0.007) Batch 0.241 (0.355) Remain 01:53:59 loss: 0.6685 Lr: 4.57172e-03 +[2025-02-27 04:54:09,552 INFO hook.py line 109 1688082] Train: [36/100][300/300] Data 0.002 (0.007) Batch 0.272 (0.346) Remain 01:50:46 loss: 0.7214 Lr: 4.55762e-03 +[2025-02-27 04:54:09,554 INFO misc.py line 135 1688082] Train result: loss: 0.7025 +[2025-02-27 04:54:09,654 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:54:30,906 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4978 +[2025-02-27 04:54:30,959 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1384 +[2025-02-27 04:54:31,023 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6188 +[2025-02-27 04:54:31,077 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7581 +[2025-02-27 04:54:31,128 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9537 +[2025-02-27 04:54:31,197 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6950 +[2025-02-27 04:54:31,254 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1795 +[2025-02-27 04:54:31,296 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4895 +[2025-02-27 04:54:31,388 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1456 +[2025-02-27 04:54:39,849 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5340 +[2025-02-27 04:54:39,896 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.5530 +[2025-02-27 04:54:40,103 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3599 +[2025-02-27 04:54:41,048 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2173 +[2025-02-27 04:54:41,084 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.8720 +[2025-02-27 04:54:41,121 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7339 +[2025-02-27 04:54:41,166 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2752 +[2025-02-27 04:54:41,203 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9594 +[2025-02-27 04:54:41,235 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.7730 +[2025-02-27 04:54:41,275 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6049 +[2025-02-27 04:54:41,307 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9692 +[2025-02-27 04:54:41,341 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3727 +[2025-02-27 04:54:41,388 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6597 +[2025-02-27 04:54:41,416 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0293 +[2025-02-27 04:54:41,456 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1076 +[2025-02-27 04:54:41,495 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5510 +[2025-02-27 04:54:41,533 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8534 +[2025-02-27 04:54:41,581 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3630 +[2025-02-27 04:54:41,614 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7574 +[2025-02-27 04:54:41,652 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3881 +[2025-02-27 04:54:41,706 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7830 +[2025-02-27 04:54:41,759 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6250 +[2025-02-27 04:54:41,799 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7984 +[2025-02-27 04:54:41,849 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3677 +[2025-02-27 04:54:41,885 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2183 +[2025-02-27 04:54:41,920 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5119 +[2025-02-27 04:54:41,958 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3720 +[2025-02-27 04:54:41,994 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6699 +[2025-02-27 04:54:42,025 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4445 +[2025-02-27 04:54:42,081 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1713 +[2025-02-27 04:54:42,123 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8730 +[2025-02-27 04:54:42,162 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1977 +[2025-02-27 04:54:42,204 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3732 +[2025-02-27 04:54:42,243 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6737 +[2025-02-27 04:54:42,298 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8507 +[2025-02-27 04:54:42,335 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0954 +[2025-02-27 04:54:42,382 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0340 +[2025-02-27 04:54:42,418 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.9453 +[2025-02-27 04:54:42,449 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.6998 +[2025-02-27 04:54:42,480 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.3351 +[2025-02-27 04:54:42,511 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.6428 +[2025-02-27 04:54:42,538 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.8640 +[2025-02-27 04:54:42,569 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2700 +[2025-02-27 04:54:42,594 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4876 +[2025-02-27 04:54:42,627 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.7647 +[2025-02-27 04:54:42,661 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1193 +[2025-02-27 04:54:42,699 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3931 +[2025-02-27 04:54:42,730 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0097 +[2025-02-27 04:54:42,756 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1770 +[2025-02-27 04:54:42,792 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9000 +[2025-02-27 04:54:42,824 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1053 +[2025-02-27 04:54:42,846 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8980 +[2025-02-27 04:54:42,878 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8026 +[2025-02-27 04:54:42,912 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3847 +[2025-02-27 04:54:42,965 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6772 +[2025-02-27 04:54:42,991 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2866 +[2025-02-27 04:54:43,030 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0370 +[2025-02-27 04:54:43,066 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6911 +[2025-02-27 04:54:43,097 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3910 +[2025-02-27 04:54:43,126 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.2787 +[2025-02-27 04:54:43,177 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4314 +[2025-02-27 04:54:43,218 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.1808 +[2025-02-27 04:54:43,266 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6878 +[2025-02-27 04:54:43,313 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7411 +[2025-02-27 04:54:43,352 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.7506 +[2025-02-27 04:54:43,398 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5601 +[2025-02-27 04:54:43,431 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3888 +[2025-02-27 04:54:43,484 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6067 +[2025-02-27 04:54:43,510 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5584 +[2025-02-27 04:54:44,899 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:54:44,899 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:54:44,899 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:54:44,899 INFO hook.py line 232 1688082] wall : 0.7424 0.8740 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] floor : 0.9408 0.9883 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] cabinet : 0.3749 0.4157 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] bed : 0.6492 0.8185 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] chair : 0.8112 0.9097 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] sofa : 0.6570 0.8390 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] table : 0.6162 0.7939 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] door : 0.4054 0.4833 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] window : 0.3624 0.5608 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] bookshelf : 0.5996 0.8860 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] picture : 0.1269 0.1726 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] counter : 0.4703 0.5720 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] desk : 0.4201 0.4989 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] curtain : 0.4828 0.7405 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] refridgerator : 0.3207 0.3899 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] shower curtain : 0.4449 0.7874 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] toilet : 0.7834 0.9079 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] sink : 0.4762 0.5292 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] bathtub : 0.7410 0.9103 +[2025-02-27 04:54:44,900 INFO hook.py line 232 1688082] otherfurniture : 0.3570 0.4501 +[2025-02-27 04:54:44,900 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:54:44,900 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5391/0.6764/0.8209. +[2025-02-27 04:54:44,900 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:54:44,911 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:54:44,911 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:55:12,132 INFO hook.py line 109 1688082] Train: [37/100][50/300] Data 0.004 (0.007) Batch 0.291 (0.380) Remain 02:01:11 loss: 0.7340 Lr: 4.54346e-03 +[2025-02-27 04:55:31,148 INFO hook.py line 109 1688082] Train: [37/100][100/300] Data 0.007 (0.007) Batch 0.580 (0.380) Remain 02:00:58 loss: 0.7026 Lr: 4.52926e-03 +[2025-02-27 04:55:49,042 INFO hook.py line 109 1688082] Train: [37/100][150/300] Data 0.008 (0.007) Batch 0.288 (0.372) Remain 01:58:15 loss: 0.5338 Lr: 4.51502e-03 +[2025-02-27 04:56:07,314 INFO hook.py line 109 1688082] Train: [37/100][200/300] Data 0.005 (0.007) Batch 0.399 (0.371) Remain 01:57:22 loss: 0.6653 Lr: 4.50072e-03 +[2025-02-27 04:56:25,981 INFO hook.py line 109 1688082] Train: [37/100][250/300] Data 0.007 (0.007) Batch 0.394 (0.371) Remain 01:57:14 loss: 0.5859 Lr: 4.48638e-03 +[2025-02-27 04:56:39,451 INFO hook.py line 109 1688082] Train: [37/100][300/300] Data 0.003 (0.007) Batch 0.200 (0.354) Remain 01:51:32 loss: 0.5478 Lr: 4.47200e-03 +[2025-02-27 04:56:39,451 INFO misc.py line 135 1688082] Train result: loss: 0.6947 +[2025-02-27 04:56:39,535 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:56:58,097 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4547 +[2025-02-27 04:56:58,852 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2236 +[2025-02-27 04:56:58,896 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7783 +[2025-02-27 04:56:59,178 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7233 +[2025-02-27 04:56:59,217 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8225 +[2025-02-27 04:56:59,280 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7330 +[2025-02-27 04:56:59,328 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0994 +[2025-02-27 04:56:59,454 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4874 +[2025-02-27 04:56:59,510 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2658 +[2025-02-27 04:56:59,553 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4410 +[2025-02-27 04:56:59,594 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7908 +[2025-02-27 04:56:59,629 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1299 +[2025-02-27 04:56:59,686 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4029 +[2025-02-27 04:56:59,725 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0646 +[2025-02-27 04:56:59,808 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9606 +[2025-02-27 04:56:59,857 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4677 +[2025-02-27 04:56:59,894 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8165 +[2025-02-27 04:56:59,927 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2072 +[2025-02-27 04:56:59,979 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4138 +[2025-02-27 04:57:00,017 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0398 +[2025-02-27 04:57:00,053 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4800 +[2025-02-27 04:57:00,101 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5370 +[2025-02-27 04:57:00,129 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0476 +[2025-02-27 04:57:00,170 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.9374 +[2025-02-27 04:57:00,218 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5365 +[2025-02-27 04:57:00,261 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0072 +[2025-02-27 04:57:00,308 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5537 +[2025-02-27 04:57:00,343 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8380 +[2025-02-27 04:57:00,372 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3712 +[2025-02-27 04:57:00,426 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7942 +[2025-02-27 04:57:00,479 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7793 +[2025-02-27 04:57:00,512 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8915 +[2025-02-27 04:57:00,562 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4060 +[2025-02-27 04:57:00,598 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2674 +[2025-02-27 04:57:00,633 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6730 +[2025-02-27 04:57:00,673 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0264 +[2025-02-27 04:57:00,715 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7644 +[2025-02-27 04:57:00,756 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4191 +[2025-02-27 04:57:00,819 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8344 +[2025-02-27 04:57:00,863 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.6744 +[2025-02-27 04:57:00,903 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1402 +[2025-02-27 04:57:00,931 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3627 +[2025-02-27 04:57:00,965 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6115 +[2025-02-27 04:57:01,019 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8308 +[2025-02-27 04:57:01,053 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0379 +[2025-02-27 04:57:01,099 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.7283 +[2025-02-27 04:57:01,135 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1696 +[2025-02-27 04:57:01,166 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8375 +[2025-02-27 04:57:01,197 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8380 +[2025-02-27 04:57:01,228 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3088 +[2025-02-27 04:57:01,260 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4328 +[2025-02-27 04:57:01,293 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4354 +[2025-02-27 04:57:01,318 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4508 +[2025-02-27 04:57:01,357 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3339 +[2025-02-27 04:57:01,393 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1119 +[2025-02-27 04:57:01,432 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3714 +[2025-02-27 04:57:01,464 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2878 +[2025-02-27 04:57:01,492 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1420 +[2025-02-27 04:57:01,529 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1621 +[2025-02-27 04:57:01,565 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9993 +[2025-02-27 04:57:01,589 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0962 +[2025-02-27 04:57:01,622 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8133 +[2025-02-27 04:57:01,656 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4353 +[2025-02-27 04:57:01,710 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7303 +[2025-02-27 04:57:01,737 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.8785 +[2025-02-27 04:57:01,776 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0557 +[2025-02-27 04:57:01,813 INFO hook.py line 289 1688082] Test: [67/78] Loss 1.0453 +[2025-02-27 04:57:01,844 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2753 +[2025-02-27 04:57:01,874 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.2706 +[2025-02-27 04:57:01,926 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4550 +[2025-02-27 04:57:01,967 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.1225 +[2025-02-27 04:57:02,015 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5469 +[2025-02-27 04:57:02,061 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7045 +[2025-02-27 04:57:02,100 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1747 +[2025-02-27 04:57:02,147 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7184 +[2025-02-27 04:57:02,177 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2432 +[2025-02-27 04:57:02,230 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4852 +[2025-02-27 04:57:02,259 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7074 +[2025-02-27 04:57:03,675 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:57:03,675 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:57:03,675 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:57:03,675 INFO hook.py line 232 1688082] wall : 0.7276 0.9394 +[2025-02-27 04:57:03,675 INFO hook.py line 232 1688082] floor : 0.9497 0.9733 +[2025-02-27 04:57:03,675 INFO hook.py line 232 1688082] cabinet : 0.3735 0.4105 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] bed : 0.6128 0.7581 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] chair : 0.8361 0.8916 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] sofa : 0.7078 0.8288 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] table : 0.6080 0.7217 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] door : 0.3186 0.3847 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] window : 0.3301 0.3712 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] bookshelf : 0.5995 0.8533 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] picture : 0.1402 0.1925 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] counter : 0.4180 0.7209 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] desk : 0.4255 0.7255 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] curtain : 0.3945 0.4252 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] refridgerator : 0.3618 0.4184 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] shower curtain : 0.4263 0.4511 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] toilet : 0.8059 0.9086 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] sink : 0.4292 0.7357 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] bathtub : 0.7211 0.8595 +[2025-02-27 04:57:03,676 INFO hook.py line 232 1688082] otherfurniture : 0.3626 0.4507 +[2025-02-27 04:57:03,676 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:57:03,676 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5274/0.6510/0.8179. +[2025-02-27 04:57:03,677 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:57:03,695 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:57:03,696 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:57:26,356 INFO hook.py line 109 1688082] Train: [38/100][50/300] Data 0.005 (0.005) Batch 0.250 (0.281) Remain 01:28:25 loss: 0.8226 Lr: 4.45757e-03 +[2025-02-27 04:57:42,367 INFO hook.py line 109 1688082] Train: [38/100][100/300] Data 0.018 (0.005) Batch 0.417 (0.301) Remain 01:34:26 loss: 0.3552 Lr: 4.44310e-03 +[2025-02-27 04:58:02,635 INFO hook.py line 109 1688082] Train: [38/100][150/300] Data 0.003 (0.006) Batch 0.329 (0.337) Remain 01:45:13 loss: 0.4855 Lr: 4.42858e-03 +[2025-02-27 04:58:22,348 INFO hook.py line 109 1688082] Train: [38/100][200/300] Data 0.006 (0.006) Batch 0.636 (0.351) Remain 01:49:29 loss: 0.9899 Lr: 4.41402e-03 +[2025-02-27 04:58:41,787 INFO hook.py line 109 1688082] Train: [38/100][250/300] Data 0.004 (0.006) Batch 0.286 (0.359) Remain 01:51:34 loss: 0.4737 Lr: 4.39942e-03 +[2025-02-27 04:58:54,910 INFO hook.py line 109 1688082] Train: [38/100][300/300] Data 0.001 (0.006) Batch 0.192 (0.343) Remain 01:46:14 loss: 0.7008 Lr: 4.38477e-03 +[2025-02-27 04:58:54,912 INFO misc.py line 135 1688082] Train result: loss: 0.7076 +[2025-02-27 04:58:55,028 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 04:59:15,073 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5704 +[2025-02-27 04:59:15,113 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9666 +[2025-02-27 04:59:15,147 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7483 +[2025-02-27 04:59:15,197 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5146 +[2025-02-27 04:59:15,228 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8971 +[2025-02-27 04:59:15,284 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7519 +[2025-02-27 04:59:15,331 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0525 +[2025-02-27 04:59:15,363 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4719 +[2025-02-27 04:59:15,405 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.5538 +[2025-02-27 04:59:15,441 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3531 +[2025-02-27 04:59:15,487 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6698 +[2025-02-27 04:59:15,518 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.6585 +[2025-02-27 04:59:15,572 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9502 +[2025-02-27 04:59:15,611 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1857 +[2025-02-27 04:59:15,646 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9956 +[2025-02-27 04:59:15,696 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4459 +[2025-02-27 04:59:15,738 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.1291 +[2025-02-27 04:59:15,773 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.4599 +[2025-02-27 04:59:15,817 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.7441 +[2025-02-27 04:59:15,861 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9799 +[2025-02-27 04:59:15,904 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4804 +[2025-02-27 04:59:15,941 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.1268 +[2025-02-27 04:59:15,973 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9950 +[2025-02-27 04:59:16,017 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2665 +[2025-02-27 04:59:16,057 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.4983 +[2025-02-27 04:59:16,103 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0600 +[2025-02-27 04:59:16,161 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9071 +[2025-02-27 04:59:16,203 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7344 +[2025-02-27 04:59:16,237 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5199 +[2025-02-27 04:59:16,291 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7889 +[2025-02-27 04:59:16,344 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6479 +[2025-02-27 04:59:16,392 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8654 +[2025-02-27 04:59:16,442 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.5390 +[2025-02-27 04:59:16,479 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4541 +[2025-02-27 04:59:16,514 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7003 +[2025-02-27 04:59:16,560 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2007 +[2025-02-27 04:59:16,609 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6990 +[2025-02-27 04:59:16,643 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5236 +[2025-02-27 04:59:16,699 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8244 +[2025-02-27 04:59:16,755 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2581 +[2025-02-27 04:59:16,802 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1011 +[2025-02-27 04:59:16,838 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4626 +[2025-02-27 04:59:16,885 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6139 +[2025-02-27 04:59:16,936 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9763 +[2025-02-27 04:59:16,966 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.2167 +[2025-02-27 04:59:17,012 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0129 +[2025-02-27 04:59:17,048 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0748 +[2025-02-27 04:59:17,078 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.0398 +[2025-02-27 04:59:17,109 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.2535 +[2025-02-27 04:59:17,139 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.6721 +[2025-02-27 04:59:17,167 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.1230 +[2025-02-27 04:59:17,198 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2906 +[2025-02-27 04:59:17,222 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6176 +[2025-02-27 04:59:17,256 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.8248 +[2025-02-27 04:59:17,289 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.3042 +[2025-02-27 04:59:17,328 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.6501 +[2025-02-27 04:59:17,359 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1760 +[2025-02-27 04:59:17,385 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3871 +[2025-02-27 04:59:17,421 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1059 +[2025-02-27 04:59:17,451 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0935 +[2025-02-27 04:59:17,475 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9675 +[2025-02-27 04:59:17,506 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1813 +[2025-02-27 04:59:17,540 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.9069 +[2025-02-27 04:59:17,593 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8310 +[2025-02-27 04:59:17,619 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1838 +[2025-02-27 04:59:17,657 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0268 +[2025-02-27 04:59:17,692 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8772 +[2025-02-27 04:59:17,723 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2777 +[2025-02-27 04:59:17,753 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3744 +[2025-02-27 04:59:17,805 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3523 +[2025-02-27 04:59:17,845 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6060 +[2025-02-27 04:59:17,894 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6045 +[2025-02-27 04:59:17,939 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6271 +[2025-02-27 04:59:17,978 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.8213 +[2025-02-27 04:59:18,024 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6121 +[2025-02-27 04:59:18,052 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1405 +[2025-02-27 04:59:18,103 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8956 +[2025-02-27 04:59:18,128 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6337 +[2025-02-27 04:59:19,483 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 04:59:19,484 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 04:59:19,484 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] wall : 0.7170 0.8020 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] floor : 0.9464 0.9813 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] cabinet : 0.4136 0.6980 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] bed : 0.6603 0.7095 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] chair : 0.8099 0.8800 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] sofa : 0.6859 0.8402 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] table : 0.6004 0.6767 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] door : 0.4122 0.4985 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] window : 0.4164 0.6835 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] bookshelf : 0.5089 0.8960 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] picture : 0.1336 0.2155 +[2025-02-27 04:59:19,484 INFO hook.py line 232 1688082] counter : 0.4188 0.7207 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] desk : 0.4226 0.5733 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] curtain : 0.4434 0.7759 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] refridgerator : 0.3432 0.4067 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] shower curtain : 0.3676 0.5492 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] toilet : 0.7139 0.8405 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] sink : 0.4103 0.5258 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] bathtub : 0.4491 0.9023 +[2025-02-27 04:59:19,485 INFO hook.py line 232 1688082] otherfurniture : 0.3776 0.5018 +[2025-02-27 04:59:19,485 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 04:59:19,485 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5126/0.6839/0.8075. +[2025-02-27 04:59:19,486 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 04:59:19,502 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 04:59:19,502 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 04:59:47,214 INFO hook.py line 109 1688082] Train: [39/100][50/300] Data 0.004 (0.008) Batch 0.350 (0.391) Remain 02:01:01 loss: 0.8932 Lr: 4.37008e-03 +[2025-02-27 05:00:05,097 INFO hook.py line 109 1688082] Train: [39/100][100/300] Data 0.015 (0.007) Batch 0.358 (0.374) Remain 01:55:19 loss: 0.8389 Lr: 4.35535e-03 +[2025-02-27 05:00:23,262 INFO hook.py line 109 1688082] Train: [39/100][150/300] Data 0.006 (0.007) Batch 0.326 (0.370) Remain 01:53:53 loss: 0.6166 Lr: 4.34058e-03 +[2025-02-27 05:00:42,470 INFO hook.py line 109 1688082] Train: [39/100][200/300] Data 0.018 (0.007) Batch 0.531 (0.374) Remain 01:54:38 loss: 0.5851 Lr: 4.32577e-03 +[2025-02-27 05:01:01,103 INFO hook.py line 109 1688082] Train: [39/100][250/300] Data 0.004 (0.007) Batch 0.370 (0.374) Remain 01:54:16 loss: 0.8488 Lr: 4.31092e-03 +[2025-02-27 05:01:14,967 INFO hook.py line 109 1688082] Train: [39/100][300/300] Data 0.001 (0.007) Batch 0.180 (0.357) Remain 01:49:00 loss: 0.6661 Lr: 4.29603e-03 +[2025-02-27 05:01:14,968 INFO misc.py line 135 1688082] Train result: loss: 0.6734 +[2025-02-27 05:01:15,061 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:01:28,556 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4924 +[2025-02-27 05:01:28,597 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.3164 +[2025-02-27 05:01:28,638 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.2123 +[2025-02-27 05:01:28,916 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8024 +[2025-02-27 05:01:28,950 INFO hook.py line 289 1688082] Test: [5/78] Loss 1.4958 +[2025-02-27 05:01:29,063 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8114 +[2025-02-27 05:01:29,117 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.3625 +[2025-02-27 05:01:29,148 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4995 +[2025-02-27 05:01:29,188 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4073 +[2025-02-27 05:01:29,222 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1911 +[2025-02-27 05:01:29,264 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9250 +[2025-02-27 05:01:29,294 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2350 +[2025-02-27 05:01:29,338 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4257 +[2025-02-27 05:01:29,375 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.9961 +[2025-02-27 05:01:29,412 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.3688 +[2025-02-27 05:01:29,454 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3472 +[2025-02-27 05:01:29,487 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.6007 +[2025-02-27 05:01:29,519 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9378 +[2025-02-27 05:01:29,564 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6819 +[2025-02-27 05:01:29,597 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0314 +[2025-02-27 05:01:29,628 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4246 +[2025-02-27 05:01:29,664 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7468 +[2025-02-27 05:01:29,689 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1638 +[2025-02-27 05:01:29,728 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0462 +[2025-02-27 05:01:29,766 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.6025 +[2025-02-27 05:01:29,805 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9510 +[2025-02-27 05:01:29,852 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.7008 +[2025-02-27 05:01:29,883 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7717 +[2025-02-27 05:01:29,910 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3903 +[2025-02-27 05:01:29,965 INFO hook.py line 289 1688082] Test: [30/78] Loss 1.0790 +[2025-02-27 05:01:30,017 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7584 +[2025-02-27 05:01:30,049 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7617 +[2025-02-27 05:01:30,098 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3755 +[2025-02-27 05:01:30,133 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.6776 +[2025-02-27 05:01:30,166 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7489 +[2025-02-27 05:01:30,204 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1076 +[2025-02-27 05:01:30,237 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.1525 +[2025-02-27 05:01:30,265 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5790 +[2025-02-27 05:01:30,320 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9352 +[2025-02-27 05:01:30,364 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0258 +[2025-02-27 05:01:30,402 INFO hook.py line 289 1688082] Test: [41/78] Loss 0.9676 +[2025-02-27 05:01:30,432 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2729 +[2025-02-27 05:01:30,471 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5994 +[2025-02-27 05:01:30,523 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8303 +[2025-02-27 05:01:30,556 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0297 +[2025-02-27 05:01:30,596 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.3399 +[2025-02-27 05:01:30,631 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.5089 +[2025-02-27 05:01:30,659 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.1280 +[2025-02-27 05:01:30,688 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8956 +[2025-02-27 05:01:30,716 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.6987 +[2025-02-27 05:01:30,741 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.9323 +[2025-02-27 05:01:30,770 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3978 +[2025-02-27 05:01:30,792 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5878 +[2025-02-27 05:01:30,823 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.0523 +[2025-02-27 05:01:30,856 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1043 +[2025-02-27 05:01:30,893 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3743 +[2025-02-27 05:01:30,921 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2148 +[2025-02-27 05:01:30,945 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9791 +[2025-02-27 05:01:30,979 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2573 +[2025-02-27 05:01:31,008 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1244 +[2025-02-27 05:01:31,031 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8792 +[2025-02-27 05:01:31,065 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8134 +[2025-02-27 05:01:31,102 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4132 +[2025-02-27 05:01:31,158 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8850 +[2025-02-27 05:01:31,193 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3843 +[2025-02-27 05:01:31,235 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.2232 +[2025-02-27 05:01:31,277 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7223 +[2025-02-27 05:01:31,314 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.7265 +[2025-02-27 05:01:31,357 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3673 +[2025-02-27 05:01:31,436 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3287 +[2025-02-27 05:01:31,558 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3350 +[2025-02-27 05:01:31,620 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7359 +[2025-02-27 05:01:31,676 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6297 +[2025-02-27 05:01:31,740 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8277 +[2025-02-27 05:01:31,796 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5262 +[2025-02-27 05:01:31,833 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.6773 +[2025-02-27 05:01:31,890 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4892 +[2025-02-27 05:01:31,923 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7781 +[2025-02-27 05:01:33,527 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:01:33,527 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:01:33,527 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:01:33,527 INFO hook.py line 232 1688082] wall : 0.7410 0.9414 +[2025-02-27 05:01:33,527 INFO hook.py line 232 1688082] floor : 0.9445 0.9702 +[2025-02-27 05:01:33,527 INFO hook.py line 232 1688082] cabinet : 0.4301 0.6112 +[2025-02-27 05:01:33,527 INFO hook.py line 232 1688082] bed : 0.6561 0.7473 +[2025-02-27 05:01:33,527 INFO hook.py line 232 1688082] chair : 0.7744 0.9107 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] sofa : 0.6827 0.8922 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] table : 0.5963 0.7254 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] door : 0.2321 0.2458 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] window : 0.1999 0.2166 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] bookshelf : 0.6408 0.8147 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] picture : 0.0875 0.0991 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] counter : 0.4503 0.6465 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] desk : 0.3760 0.4589 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] curtain : 0.4661 0.6008 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] refridgerator : 0.3160 0.3807 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] shower curtain : 0.4043 0.7092 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] toilet : 0.6631 0.8768 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] sink : 0.3620 0.6695 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] bathtub : 0.6153 0.8512 +[2025-02-27 05:01:33,528 INFO hook.py line 232 1688082] otherfurniture : 0.3393 0.4428 +[2025-02-27 05:01:33,528 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:01:33,528 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.4989/0.6405/0.8135. +[2025-02-27 05:01:33,528 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:01:33,547 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5443 +[2025-02-27 05:01:33,547 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:01:58,771 INFO hook.py line 109 1688082] Train: [40/100][50/300] Data 0.013 (0.007) Batch 0.324 (0.361) Remain 01:49:42 loss: 1.1678 Lr: 4.28110e-03 +[2025-02-27 05:02:14,100 INFO hook.py line 109 1688082] Train: [40/100][100/300] Data 0.002 (0.007) Batch 0.243 (0.333) Remain 01:40:58 loss: 0.4291 Lr: 4.26613e-03 +[2025-02-27 05:02:35,019 INFO hook.py line 109 1688082] Train: [40/100][150/300] Data 0.008 (0.007) Batch 0.466 (0.362) Remain 01:49:29 loss: 0.9487 Lr: 4.25112e-03 +[2025-02-27 05:02:53,587 INFO hook.py line 109 1688082] Train: [40/100][200/300] Data 0.012 (0.007) Batch 0.393 (0.364) Remain 01:49:54 loss: 0.6520 Lr: 4.23608e-03 +[2025-02-27 05:03:12,630 INFO hook.py line 109 1688082] Train: [40/100][250/300] Data 0.020 (0.007) Batch 0.499 (0.368) Remain 01:50:36 loss: 0.4989 Lr: 4.22099e-03 +[2025-02-27 05:03:26,964 INFO hook.py line 109 1688082] Train: [40/100][300/300] Data 0.002 (0.007) Batch 0.194 (0.354) Remain 01:46:12 loss: 0.9550 Lr: 4.20587e-03 +[2025-02-27 05:03:26,965 INFO misc.py line 135 1688082] Train result: loss: 0.6678 +[2025-02-27 05:03:27,057 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:03:46,896 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4088 +[2025-02-27 05:03:46,962 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1282 +[2025-02-27 05:03:47,002 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8637 +[2025-02-27 05:03:47,046 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7298 +[2025-02-27 05:03:47,078 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8137 +[2025-02-27 05:03:47,128 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7193 +[2025-02-27 05:03:47,176 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9634 +[2025-02-27 05:03:47,215 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6044 +[2025-02-27 05:03:47,263 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2574 +[2025-02-27 05:03:47,304 INFO hook.py line 289 1688082] Test: [10/78] Loss 0.9899 +[2025-02-27 05:03:47,355 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9559 +[2025-02-27 05:03:47,391 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2255 +[2025-02-27 05:03:47,437 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4431 +[2025-02-27 05:03:47,476 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0478 +[2025-02-27 05:03:47,525 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7042 +[2025-02-27 05:03:47,570 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2921 +[2025-02-27 05:03:47,606 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8001 +[2025-02-27 05:03:47,641 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.7356 +[2025-02-27 05:03:47,692 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2091 +[2025-02-27 05:03:47,736 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9589 +[2025-02-27 05:03:47,769 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3981 +[2025-02-27 05:03:47,807 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5036 +[2025-02-27 05:03:47,842 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0462 +[2025-02-27 05:03:47,884 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1032 +[2025-02-27 05:03:47,923 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5049 +[2025-02-27 05:03:47,975 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7357 +[2025-02-27 05:03:48,024 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6927 +[2025-02-27 05:03:48,065 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6949 +[2025-02-27 05:03:48,103 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4841 +[2025-02-27 05:03:48,166 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9332 +[2025-02-27 05:03:48,219 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9214 +[2025-02-27 05:03:48,251 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7363 +[2025-02-27 05:03:48,301 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3817 +[2025-02-27 05:03:48,338 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2305 +[2025-02-27 05:03:48,377 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5856 +[2025-02-27 05:03:48,424 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1997 +[2025-02-27 05:03:48,463 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7850 +[2025-02-27 05:03:48,492 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6974 +[2025-02-27 05:03:48,551 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6075 +[2025-02-27 05:03:48,595 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9158 +[2025-02-27 05:03:48,635 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0658 +[2025-02-27 05:03:48,677 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3798 +[2025-02-27 05:03:48,721 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4698 +[2025-02-27 05:03:48,782 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7013 +[2025-02-27 05:03:48,820 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8516 +[2025-02-27 05:03:48,865 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9783 +[2025-02-27 05:03:48,901 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3508 +[2025-02-27 05:03:48,932 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7164 +[2025-02-27 05:03:48,964 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7375 +[2025-02-27 05:03:48,995 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1020 +[2025-02-27 05:03:49,022 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0592 +[2025-02-27 05:03:49,054 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3157 +[2025-02-27 05:03:49,079 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5752 +[2025-02-27 05:03:49,114 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4617 +[2025-02-27 05:03:49,150 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1999 +[2025-02-27 05:03:49,189 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4270 +[2025-02-27 05:03:49,220 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0555 +[2025-02-27 05:03:49,246 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9332 +[2025-02-27 05:03:49,282 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0806 +[2025-02-27 05:03:49,313 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9450 +[2025-02-27 05:03:49,337 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.7843 +[2025-02-27 05:03:49,368 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8709 +[2025-02-27 05:03:49,402 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.1597 +[2025-02-27 05:03:49,456 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.5644 +[2025-02-27 05:03:49,482 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2203 +[2025-02-27 05:03:49,520 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9654 +[2025-02-27 05:03:49,556 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7960 +[2025-02-27 05:03:49,588 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9571 +[2025-02-27 05:03:49,617 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3217 +[2025-02-27 05:03:49,669 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3125 +[2025-02-27 05:03:49,721 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.1601 +[2025-02-27 05:03:49,770 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.3854 +[2025-02-27 05:03:49,815 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5449 +[2025-02-27 05:03:49,854 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3117 +[2025-02-27 05:03:49,900 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7272 +[2025-02-27 05:03:49,927 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0429 +[2025-02-27 05:03:49,978 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4833 +[2025-02-27 05:03:50,003 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5860 +[2025-02-27 05:03:51,384 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:03:51,385 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:03:51,385 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:03:51,385 INFO hook.py line 232 1688082] wall : 0.7494 0.9299 +[2025-02-27 05:03:51,385 INFO hook.py line 232 1688082] floor : 0.9462 0.9807 +[2025-02-27 05:03:51,385 INFO hook.py line 232 1688082] cabinet : 0.4620 0.5671 +[2025-02-27 05:03:51,385 INFO hook.py line 232 1688082] bed : 0.6361 0.7735 +[2025-02-27 05:03:51,385 INFO hook.py line 232 1688082] chair : 0.8130 0.8608 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] sofa : 0.6789 0.7898 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] table : 0.5763 0.7389 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] door : 0.3790 0.4905 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] window : 0.3385 0.4102 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] bookshelf : 0.6347 0.7726 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] picture : 0.1258 0.1737 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] counter : 0.4852 0.6739 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] desk : 0.4650 0.6554 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] curtain : 0.5553 0.6921 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] refridgerator : 0.3215 0.3470 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] shower curtain : 0.5035 0.6504 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] toilet : 0.8183 0.9174 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] sink : 0.4950 0.5817 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] bathtub : 0.5366 0.8598 +[2025-02-27 05:03:51,386 INFO hook.py line 232 1688082] otherfurniture : 0.3691 0.4501 +[2025-02-27 05:03:51,386 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:03:51,386 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5445/0.6658/0.8271. +[2025-02-27 05:03:51,387 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:03:51,407 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5445 +[2025-02-27 05:03:51,407 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5445 +[2025-02-27 05:03:51,407 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:04:18,572 INFO hook.py line 109 1688082] Train: [41/100][50/300] Data 0.008 (0.008) Batch 0.404 (0.375) Remain 01:52:04 loss: 0.8292 Lr: 4.19071e-03 +[2025-02-27 05:04:37,218 INFO hook.py line 109 1688082] Train: [41/100][100/300] Data 0.003 (0.008) Batch 0.411 (0.374) Remain 01:51:30 loss: 0.6853 Lr: 4.17552e-03 +[2025-02-27 05:04:55,269 INFO hook.py line 109 1688082] Train: [41/100][150/300] Data 0.010 (0.008) Batch 0.379 (0.369) Remain 01:49:54 loss: 1.0288 Lr: 4.16029e-03 +[2025-02-27 05:05:13,921 INFO hook.py line 109 1688082] Train: [41/100][200/300] Data 0.004 (0.008) Batch 0.364 (0.370) Remain 01:49:52 loss: 0.8223 Lr: 4.14533e-03 +[2025-02-27 05:05:28,883 INFO hook.py line 109 1688082] Train: [41/100][250/300] Data 0.003 (0.007) Batch 0.257 (0.356) Remain 01:45:18 loss: 0.5558 Lr: 4.13034e-03 +[2025-02-27 05:05:40,854 INFO hook.py line 109 1688082] Train: [41/100][300/300] Data 0.002 (0.007) Batch 0.276 (0.336) Remain 01:39:13 loss: 0.3596 Lr: 4.11501e-03 +[2025-02-27 05:05:40,858 INFO misc.py line 135 1688082] Train result: loss: 0.6660 +[2025-02-27 05:05:40,998 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:06:12,419 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5620 +[2025-02-27 05:06:12,472 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2284 +[2025-02-27 05:06:12,524 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7113 +[2025-02-27 05:06:12,580 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7651 +[2025-02-27 05:06:12,620 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7480 +[2025-02-27 05:06:12,682 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8105 +[2025-02-27 05:06:12,729 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0035 +[2025-02-27 05:06:12,781 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3994 +[2025-02-27 05:06:12,832 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2715 +[2025-02-27 05:06:20,331 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4093 +[2025-02-27 05:06:21,264 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6552 +[2025-02-27 05:06:21,306 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2275 +[2025-02-27 05:06:21,702 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.9882 +[2025-02-27 05:06:21,747 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.7990 +[2025-02-27 05:06:21,789 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.6685 +[2025-02-27 05:06:22,400 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4052 +[2025-02-27 05:06:22,445 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.2359 +[2025-02-27 05:06:22,488 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.5328 +[2025-02-27 05:06:22,538 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6406 +[2025-02-27 05:06:22,582 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9177 +[2025-02-27 05:06:22,625 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3895 +[2025-02-27 05:06:22,665 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7757 +[2025-02-27 05:06:22,700 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0320 +[2025-02-27 05:06:22,749 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2491 +[2025-02-27 05:06:22,800 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2388 +[2025-02-27 05:06:22,838 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1186 +[2025-02-27 05:06:22,884 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.9756 +[2025-02-27 05:06:22,917 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8627 +[2025-02-27 05:06:22,952 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4341 +[2025-02-27 05:06:23,003 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6798 +[2025-02-27 05:06:23,056 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7238 +[2025-02-27 05:06:23,088 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9772 +[2025-02-27 05:06:23,148 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3668 +[2025-02-27 05:06:23,184 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3391 +[2025-02-27 05:06:23,219 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5479 +[2025-02-27 05:06:23,256 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3002 +[2025-02-27 05:06:23,304 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5774 +[2025-02-27 05:06:23,347 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4265 +[2025-02-27 05:06:23,405 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8244 +[2025-02-27 05:06:23,458 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9089 +[2025-02-27 05:06:23,496 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3661 +[2025-02-27 05:06:23,527 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3676 +[2025-02-27 05:06:23,560 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6948 +[2025-02-27 05:06:23,612 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8815 +[2025-02-27 05:06:23,656 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9397 +[2025-02-27 05:06:23,700 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0131 +[2025-02-27 05:06:23,736 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0070 +[2025-02-27 05:06:23,767 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8668 +[2025-02-27 05:06:23,799 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.4963 +[2025-02-27 05:06:23,829 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2928 +[2025-02-27 05:06:23,857 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3568 +[2025-02-27 05:06:23,888 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5036 +[2025-02-27 05:06:23,913 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5168 +[2025-02-27 05:06:23,946 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2870 +[2025-02-27 05:06:23,981 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1987 +[2025-02-27 05:06:24,023 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.6018 +[2025-02-27 05:06:24,055 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0815 +[2025-02-27 05:06:24,082 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8164 +[2025-02-27 05:06:24,120 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1140 +[2025-02-27 05:06:24,152 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0696 +[2025-02-27 05:06:24,174 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.4077 +[2025-02-27 05:06:24,206 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1054 +[2025-02-27 05:06:24,240 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.7011 +[2025-02-27 05:06:24,294 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7753 +[2025-02-27 05:06:24,321 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.8998 +[2025-02-27 05:06:24,360 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9815 +[2025-02-27 05:06:24,396 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8753 +[2025-02-27 05:06:24,427 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3763 +[2025-02-27 05:06:24,456 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3696 +[2025-02-27 05:06:24,507 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3722 +[2025-02-27 05:06:24,548 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3396 +[2025-02-27 05:06:24,596 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4654 +[2025-02-27 05:06:24,642 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5994 +[2025-02-27 05:06:24,681 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0616 +[2025-02-27 05:06:24,726 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6743 +[2025-02-27 05:06:24,755 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9529 +[2025-02-27 05:06:24,805 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.9878 +[2025-02-27 05:06:24,831 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6642 +[2025-02-27 05:06:26,314 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:06:26,314 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:06:26,314 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] wall : 0.7296 0.8445 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] floor : 0.9465 0.9764 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] cabinet : 0.3978 0.4251 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] bed : 0.5926 0.6323 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] chair : 0.7831 0.8470 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] sofa : 0.5859 0.9011 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] table : 0.5342 0.7961 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] door : 0.4038 0.6100 +[2025-02-27 05:06:26,315 INFO hook.py line 232 1688082] window : 0.3777 0.5506 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] bookshelf : 0.6400 0.8272 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] picture : 0.1363 0.1786 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] counter : 0.4801 0.6281 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] desk : 0.3547 0.6423 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] curtain : 0.4346 0.5511 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] refridgerator : 0.2911 0.4897 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] shower curtain : 0.4821 0.6017 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] toilet : 0.7720 0.9137 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] sink : 0.4180 0.7320 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] bathtub : 0.7231 0.8456 +[2025-02-27 05:06:26,316 INFO hook.py line 232 1688082] otherfurniture : 0.3326 0.4756 +[2025-02-27 05:06:26,317 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:06:26,317 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5208/0.6734/0.8053. +[2025-02-27 05:06:26,318 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:06:26,336 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5445 +[2025-02-27 05:06:26,336 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:06:54,384 INFO hook.py line 109 1688082] Train: [42/100][50/300] Data 0.006 (0.008) Batch 0.351 (0.377) Remain 01:50:53 loss: 1.1571 Lr: 4.09964e-03 +[2025-02-27 05:07:12,634 INFO hook.py line 109 1688082] Train: [42/100][100/300] Data 0.005 (0.007) Batch 0.308 (0.371) Remain 01:48:45 loss: 0.4421 Lr: 4.08424e-03 +[2025-02-27 05:07:31,550 INFO hook.py line 109 1688082] Train: [42/100][150/300] Data 0.008 (0.007) Batch 0.402 (0.373) Remain 01:49:12 loss: 0.7140 Lr: 4.06881e-03 +[2025-02-27 05:07:49,669 INFO hook.py line 109 1688082] Train: [42/100][200/300] Data 0.011 (0.007) Batch 0.380 (0.371) Remain 01:48:04 loss: 0.9350 Lr: 4.05335e-03 +[2025-02-27 05:08:07,753 INFO hook.py line 109 1688082] Train: [42/100][250/300] Data 0.009 (0.008) Batch 0.408 (0.369) Remain 01:47:14 loss: 0.6227 Lr: 4.03785e-03 +[2025-02-27 05:08:21,911 INFO hook.py line 109 1688082] Train: [42/100][300/300] Data 0.002 (0.007) Batch 0.198 (0.354) Remain 01:42:45 loss: 0.7148 Lr: 4.02232e-03 +[2025-02-27 05:08:21,912 INFO misc.py line 135 1688082] Train result: loss: 0.6358 +[2025-02-27 05:08:21,999 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:08:41,454 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4629 +[2025-02-27 05:08:41,509 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1548 +[2025-02-27 05:08:41,644 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8027 +[2025-02-27 05:08:41,709 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7784 +[2025-02-27 05:08:41,761 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7812 +[2025-02-27 05:08:41,825 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8647 +[2025-02-27 05:08:41,876 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8410 +[2025-02-27 05:08:41,916 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4233 +[2025-02-27 05:08:41,971 INFO hook.py line 289 1688082] Test: [9/78] Loss 0.9825 +[2025-02-27 05:08:42,015 INFO hook.py line 289 1688082] Test: [10/78] Loss 0.8097 +[2025-02-27 05:08:42,294 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9492 +[2025-02-27 05:08:42,331 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0643 +[2025-02-27 05:08:42,379 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.1616 +[2025-02-27 05:08:42,427 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1522 +[2025-02-27 05:08:42,468 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8623 +[2025-02-27 05:08:42,670 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.9392 +[2025-02-27 05:08:42,708 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9154 +[2025-02-27 05:08:42,751 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9942 +[2025-02-27 05:08:42,794 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2104 +[2025-02-27 05:08:42,828 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8738 +[2025-02-27 05:08:42,862 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3315 +[2025-02-27 05:08:42,903 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5680 +[2025-02-27 05:08:42,936 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2865 +[2025-02-27 05:08:42,983 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2479 +[2025-02-27 05:08:43,022 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2315 +[2025-02-27 05:08:43,061 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7631 +[2025-02-27 05:08:43,107 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4788 +[2025-02-27 05:08:43,138 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.9495 +[2025-02-27 05:08:43,167 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5141 +[2025-02-27 05:08:43,224 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7687 +[2025-02-27 05:08:43,277 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6990 +[2025-02-27 05:08:43,309 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0553 +[2025-02-27 05:08:43,359 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4839 +[2025-02-27 05:08:43,400 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2548 +[2025-02-27 05:08:43,435 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5828 +[2025-02-27 05:08:43,474 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2349 +[2025-02-27 05:08:43,514 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5045 +[2025-02-27 05:08:43,542 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5275 +[2025-02-27 05:08:43,598 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7602 +[2025-02-27 05:08:43,655 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8567 +[2025-02-27 05:08:43,707 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0871 +[2025-02-27 05:08:43,747 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3284 +[2025-02-27 05:08:43,790 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5964 +[2025-02-27 05:08:43,845 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7181 +[2025-02-27 05:08:43,879 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0608 +[2025-02-27 05:08:43,923 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.5780 +[2025-02-27 05:08:43,962 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2010 +[2025-02-27 05:08:43,993 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9858 +[2025-02-27 05:08:44,024 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7763 +[2025-02-27 05:08:44,055 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2238 +[2025-02-27 05:08:44,083 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.1338 +[2025-02-27 05:08:44,115 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3349 +[2025-02-27 05:08:44,140 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4293 +[2025-02-27 05:08:44,174 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.9352 +[2025-02-27 05:08:44,211 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1738 +[2025-02-27 05:08:44,250 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3776 +[2025-02-27 05:08:44,281 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2107 +[2025-02-27 05:08:44,308 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9030 +[2025-02-27 05:08:44,344 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.8002 +[2025-02-27 05:08:44,376 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9129 +[2025-02-27 05:08:44,404 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.6491 +[2025-02-27 05:08:44,435 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8974 +[2025-02-27 05:08:44,469 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3902 +[2025-02-27 05:08:44,523 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7749 +[2025-02-27 05:08:44,548 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2673 +[2025-02-27 05:08:44,585 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0180 +[2025-02-27 05:08:44,620 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8541 +[2025-02-27 05:08:44,651 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0382 +[2025-02-27 05:08:44,680 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3446 +[2025-02-27 05:08:44,731 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2016 +[2025-02-27 05:08:44,772 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.7174 +[2025-02-27 05:08:44,820 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5489 +[2025-02-27 05:08:44,866 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5248 +[2025-02-27 05:08:44,905 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8086 +[2025-02-27 05:08:44,951 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6210 +[2025-02-27 05:08:44,979 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2059 +[2025-02-27 05:08:45,030 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6891 +[2025-02-27 05:08:45,055 INFO hook.py line 289 1688082] Test: [78/78] Loss 1.1169 +[2025-02-27 05:08:46,438 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:08:46,439 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:08:46,439 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] wall : 0.7532 0.9093 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] floor : 0.9480 0.9729 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] cabinet : 0.4254 0.5004 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] bed : 0.4971 0.8367 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] chair : 0.8015 0.8865 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] sofa : 0.6508 0.7909 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] table : 0.5955 0.7184 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] door : 0.4380 0.5347 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] window : 0.3733 0.4279 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] bookshelf : 0.6239 0.6862 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] picture : 0.1314 0.1666 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] counter : 0.3973 0.7719 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] desk : 0.4626 0.6275 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] curtain : 0.5303 0.6176 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] refridgerator : 0.3633 0.5025 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] shower curtain : 0.5028 0.6957 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] toilet : 0.7327 0.8350 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] sink : 0.4271 0.7579 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] bathtub : 0.6356 0.8924 +[2025-02-27 05:08:46,439 INFO hook.py line 232 1688082] otherfurniture : 0.3844 0.5520 +[2025-02-27 05:08:46,439 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:08:46,439 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5337/0.6841/0.8236. +[2025-02-27 05:08:46,440 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:08:46,454 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5445 +[2025-02-27 05:08:46,454 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:09:08,064 INFO hook.py line 109 1688082] Train: [43/100][50/300] Data 0.004 (0.013) Batch 0.232 (0.290) Remain 01:23:44 loss: 0.4688 Lr: 4.00676e-03 +[2025-02-27 05:09:26,155 INFO hook.py line 109 1688082] Train: [43/100][100/300] Data 0.009 (0.010) Batch 0.523 (0.327) Remain 01:34:14 loss: 0.5990 Lr: 3.99117e-03 +[2025-02-27 05:09:44,948 INFO hook.py line 109 1688082] Train: [43/100][150/300] Data 0.003 (0.009) Batch 0.245 (0.344) Remain 01:38:45 loss: 0.9129 Lr: 3.97555e-03 +[2025-02-27 05:10:06,997 INFO hook.py line 109 1688082] Train: [43/100][200/300] Data 0.012 (0.009) Batch 0.459 (0.368) Remain 01:45:33 loss: 0.7975 Lr: 3.95990e-03 +[2025-02-27 05:10:25,626 INFO hook.py line 109 1688082] Train: [43/100][250/300] Data 0.005 (0.009) Batch 0.345 (0.369) Remain 01:45:30 loss: 0.2839 Lr: 3.94422e-03 +[2025-02-27 05:10:39,320 INFO hook.py line 109 1688082] Train: [43/100][300/300] Data 0.002 (0.008) Batch 0.192 (0.353) Remain 01:40:37 loss: 0.8731 Lr: 3.92852e-03 +[2025-02-27 05:10:39,321 INFO misc.py line 135 1688082] Train result: loss: 0.6403 +[2025-02-27 05:10:39,418 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:10:59,234 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.6517 +[2025-02-27 05:10:59,530 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0374 +[2025-02-27 05:10:59,568 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5877 +[2025-02-27 05:10:59,620 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5895 +[2025-02-27 05:10:59,660 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6613 +[2025-02-27 05:10:59,709 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.2206 +[2025-02-27 05:10:59,761 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9644 +[2025-02-27 05:10:59,787 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4046 +[2025-02-27 05:10:59,828 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3773 +[2025-02-27 05:10:59,862 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1987 +[2025-02-27 05:10:59,915 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7575 +[2025-02-27 05:10:59,951 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1112 +[2025-02-27 05:10:59,996 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5981 +[2025-02-27 05:11:00,034 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0485 +[2025-02-27 05:11:00,073 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0956 +[2025-02-27 05:11:00,116 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.8241 +[2025-02-27 05:11:00,154 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7801 +[2025-02-27 05:11:00,205 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.4596 +[2025-02-27 05:11:00,251 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1814 +[2025-02-27 05:11:00,299 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1190 +[2025-02-27 05:11:00,340 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.2884 +[2025-02-27 05:11:00,378 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.1814 +[2025-02-27 05:11:00,423 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.3354 +[2025-02-27 05:11:00,464 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1652 +[2025-02-27 05:11:00,504 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2272 +[2025-02-27 05:11:00,543 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0402 +[2025-02-27 05:11:00,593 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.5050 +[2025-02-27 05:11:00,626 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7183 +[2025-02-27 05:11:00,658 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4299 +[2025-02-27 05:11:00,709 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7424 +[2025-02-27 05:11:00,763 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5833 +[2025-02-27 05:11:00,805 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.2898 +[2025-02-27 05:11:00,856 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.5918 +[2025-02-27 05:11:00,892 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1472 +[2025-02-27 05:11:00,927 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.8787 +[2025-02-27 05:11:00,967 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4367 +[2025-02-27 05:11:01,003 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6917 +[2025-02-27 05:11:01,035 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4101 +[2025-02-27 05:11:01,095 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.4679 +[2025-02-27 05:11:01,137 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9197 +[2025-02-27 05:11:01,176 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2316 +[2025-02-27 05:11:01,206 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3258 +[2025-02-27 05:11:01,244 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4880 +[2025-02-27 05:11:01,295 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.5680 +[2025-02-27 05:11:01,335 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0204 +[2025-02-27 05:11:01,390 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8248 +[2025-02-27 05:11:01,425 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0763 +[2025-02-27 05:11:01,455 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.6801 +[2025-02-27 05:11:01,486 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.5014 +[2025-02-27 05:11:01,516 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.6103 +[2025-02-27 05:11:01,548 INFO hook.py line 289 1688082] Test: [51/78] Loss 2.2993 +[2025-02-27 05:11:01,583 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4003 +[2025-02-27 05:11:01,612 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.7920 +[2025-02-27 05:11:01,653 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5167 +[2025-02-27 05:11:01,688 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1301 +[2025-02-27 05:11:01,726 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3938 +[2025-02-27 05:11:01,758 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.4886 +[2025-02-27 05:11:01,783 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0300 +[2025-02-27 05:11:01,820 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1790 +[2025-02-27 05:11:01,850 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0936 +[2025-02-27 05:11:01,873 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9863 +[2025-02-27 05:11:01,904 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1263 +[2025-02-27 05:11:01,938 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.1867 +[2025-02-27 05:11:01,992 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.3416 +[2025-02-27 05:11:02,018 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.5115 +[2025-02-27 05:11:02,056 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.1019 +[2025-02-27 05:11:02,092 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8139 +[2025-02-27 05:11:02,123 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3296 +[2025-02-27 05:11:02,152 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.2779 +[2025-02-27 05:11:02,204 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2172 +[2025-02-27 05:11:02,245 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5572 +[2025-02-27 05:11:02,294 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4696 +[2025-02-27 05:11:02,342 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5965 +[2025-02-27 05:11:02,382 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.5707 +[2025-02-27 05:11:02,429 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6303 +[2025-02-27 05:11:02,457 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3629 +[2025-02-27 05:11:02,508 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4929 +[2025-02-27 05:11:02,534 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8333 +[2025-02-27 05:11:03,964 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:11:03,965 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:11:03,965 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:11:03,965 INFO hook.py line 232 1688082] wall : 0.7445 0.8864 +[2025-02-27 05:11:03,965 INFO hook.py line 232 1688082] floor : 0.9435 0.9885 +[2025-02-27 05:11:03,965 INFO hook.py line 232 1688082] cabinet : 0.4494 0.5537 +[2025-02-27 05:11:03,965 INFO hook.py line 232 1688082] bed : 0.5743 0.6320 +[2025-02-27 05:11:03,965 INFO hook.py line 232 1688082] chair : 0.7791 0.8249 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] sofa : 0.5661 0.9429 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] table : 0.5798 0.7766 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] door : 0.4244 0.6031 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] window : 0.4040 0.6289 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] bookshelf : 0.6567 0.7852 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] picture : 0.1479 0.2681 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] counter : 0.4335 0.6719 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] desk : 0.4092 0.5091 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] curtain : 0.3506 0.3641 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] refridgerator : 0.3153 0.4142 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] shower curtain : 0.4580 0.5480 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] toilet : 0.8448 0.9099 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] sink : 0.5205 0.6078 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] bathtub : 0.7497 0.8745 +[2025-02-27 05:11:03,966 INFO hook.py line 232 1688082] otherfurniture : 0.3704 0.4281 +[2025-02-27 05:11:03,966 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:11:03,966 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5361/0.6609/0.8179. +[2025-02-27 05:11:03,967 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:11:03,987 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5445 +[2025-02-27 05:11:03,987 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:11:31,685 INFO hook.py line 109 1688082] Train: [44/100][50/300] Data 0.006 (0.010) Batch 0.369 (0.397) Remain 01:52:53 loss: 0.2488 Lr: 3.91278e-03 +[2025-02-27 05:11:50,424 INFO hook.py line 109 1688082] Train: [44/100][100/300] Data 0.007 (0.008) Batch 0.415 (0.386) Remain 01:49:16 loss: 0.6292 Lr: 3.89702e-03 +[2025-02-27 05:12:09,056 INFO hook.py line 109 1688082] Train: [44/100][150/300] Data 0.003 (0.008) Batch 0.385 (0.381) Remain 01:47:41 loss: 0.7320 Lr: 3.88123e-03 +[2025-02-27 05:12:27,678 INFO hook.py line 109 1688082] Train: [44/100][200/300] Data 0.007 (0.008) Batch 0.434 (0.379) Remain 01:46:44 loss: 0.4254 Lr: 3.86541e-03 +[2025-02-27 05:12:46,890 INFO hook.py line 109 1688082] Train: [44/100][250/300] Data 0.009 (0.008) Batch 0.342 (0.380) Remain 01:46:43 loss: 0.6244 Lr: 3.84957e-03 +[2025-02-27 05:12:58,672 INFO hook.py line 109 1688082] Train: [44/100][300/300] Data 0.001 (0.007) Batch 0.193 (0.356) Remain 01:39:36 loss: 0.5380 Lr: 3.83370e-03 +[2025-02-27 05:12:58,673 INFO misc.py line 135 1688082] Train result: loss: 0.6010 +[2025-02-27 05:12:58,767 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:13:15,504 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3494 +[2025-02-27 05:13:16,186 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0565 +[2025-02-27 05:13:16,299 INFO hook.py line 289 1688082] Test: [3/78] Loss 1.2082 +[2025-02-27 05:13:16,370 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7852 +[2025-02-27 05:13:16,512 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7494 +[2025-02-27 05:13:16,575 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1123 +[2025-02-27 05:13:16,629 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0160 +[2025-02-27 05:13:16,693 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4367 +[2025-02-27 05:13:16,748 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1738 +[2025-02-27 05:13:16,805 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4309 +[2025-02-27 05:13:16,991 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7424 +[2025-02-27 05:13:17,030 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1638 +[2025-02-27 05:13:17,086 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0178 +[2025-02-27 05:13:17,134 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0440 +[2025-02-27 05:13:17,424 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.3300 +[2025-02-27 05:13:17,473 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2397 +[2025-02-27 05:13:17,509 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8469 +[2025-02-27 05:13:17,550 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2916 +[2025-02-27 05:13:17,597 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4292 +[2025-02-27 05:13:17,637 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.8645 +[2025-02-27 05:13:17,676 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3347 +[2025-02-27 05:13:17,722 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6945 +[2025-02-27 05:13:17,759 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9651 +[2025-02-27 05:13:17,801 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.6246 +[2025-02-27 05:13:17,848 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3711 +[2025-02-27 05:13:17,895 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.2872 +[2025-02-27 05:13:17,945 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8253 +[2025-02-27 05:13:17,985 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6381 +[2025-02-27 05:13:18,025 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4424 +[2025-02-27 05:13:18,084 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8115 +[2025-02-27 05:13:18,147 INFO hook.py line 289 1688082] Test: [31/78] Loss 1.0679 +[2025-02-27 05:13:18,185 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8892 +[2025-02-27 05:13:18,244 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4793 +[2025-02-27 05:13:18,289 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2743 +[2025-02-27 05:13:18,332 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6186 +[2025-02-27 05:13:18,376 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3731 +[2025-02-27 05:13:18,416 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7667 +[2025-02-27 05:13:18,456 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4911 +[2025-02-27 05:13:18,519 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.3337 +[2025-02-27 05:13:18,576 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8063 +[2025-02-27 05:13:18,623 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3501 +[2025-02-27 05:13:18,660 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5198 +[2025-02-27 05:13:18,701 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5940 +[2025-02-27 05:13:18,763 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8140 +[2025-02-27 05:13:18,799 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1151 +[2025-02-27 05:13:18,847 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8686 +[2025-02-27 05:13:18,892 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0961 +[2025-02-27 05:13:18,930 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9653 +[2025-02-27 05:13:18,969 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6973 +[2025-02-27 05:13:19,007 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5680 +[2025-02-27 05:13:19,047 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.1828 +[2025-02-27 05:13:19,087 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2067 +[2025-02-27 05:13:19,121 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6525 +[2025-02-27 05:13:19,164 INFO hook.py line 289 1688082] Test: [54/78] Loss 1.9802 +[2025-02-27 05:13:19,199 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1457 +[2025-02-27 05:13:19,246 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3744 +[2025-02-27 05:13:19,288 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.5728 +[2025-02-27 05:13:19,321 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.3157 +[2025-02-27 05:13:19,360 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1126 +[2025-02-27 05:13:19,399 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1251 +[2025-02-27 05:13:19,437 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8564 +[2025-02-27 05:13:19,477 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.2326 +[2025-02-27 05:13:19,511 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4445 +[2025-02-27 05:13:19,565 INFO hook.py line 289 1688082] Test: [64/78] Loss 2.0446 +[2025-02-27 05:13:19,598 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4766 +[2025-02-27 05:13:19,637 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0048 +[2025-02-27 05:13:19,673 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.9125 +[2025-02-27 05:13:19,705 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2916 +[2025-02-27 05:13:19,734 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4085 +[2025-02-27 05:13:19,787 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1488 +[2025-02-27 05:13:19,827 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5006 +[2025-02-27 05:13:19,875 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4189 +[2025-02-27 05:13:19,920 INFO hook.py line 289 1688082] Test: [73/78] Loss 1.1131 +[2025-02-27 05:13:19,960 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.7971 +[2025-02-27 05:13:20,006 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5948 +[2025-02-27 05:13:20,034 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3281 +[2025-02-27 05:13:20,086 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.0608 +[2025-02-27 05:13:20,111 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7333 +[2025-02-27 05:13:21,368 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:13:21,368 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:13:21,368 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] wall : 0.7240 0.8143 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] floor : 0.9442 0.9800 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] cabinet : 0.4025 0.5752 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] bed : 0.5908 0.6371 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] chair : 0.8160 0.8829 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] sofa : 0.7241 0.8043 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] table : 0.5180 0.7728 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] door : 0.4251 0.5519 +[2025-02-27 05:13:21,368 INFO hook.py line 232 1688082] window : 0.4086 0.5658 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] bookshelf : 0.5730 0.8546 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] picture : 0.1627 0.2978 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] counter : 0.4441 0.6437 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] desk : 0.4080 0.5865 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] curtain : 0.4584 0.7178 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] refridgerator : 0.3721 0.5092 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] shower curtain : 0.3550 0.3785 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] toilet : 0.7548 0.8516 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] sink : 0.5076 0.6622 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] bathtub : 0.7191 0.7507 +[2025-02-27 05:13:21,369 INFO hook.py line 232 1688082] otherfurniture : 0.3429 0.5689 +[2025-02-27 05:13:21,369 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:13:21,369 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5326/0.6703/0.8069. +[2025-02-27 05:13:21,369 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:13:21,386 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5445 +[2025-02-27 05:13:21,387 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:13:43,719 INFO hook.py line 109 1688082] Train: [45/100][50/300] Data 0.002 (0.006) Batch 0.252 (0.327) Remain 01:31:19 loss: 0.6102 Lr: 3.81780e-03 +[2025-02-27 05:13:56,977 INFO hook.py line 109 1688082] Train: [45/100][100/300] Data 0.007 (0.005) Batch 0.278 (0.295) Remain 01:22:09 loss: 0.5931 Lr: 3.80188e-03 +[2025-02-27 05:14:17,734 INFO hook.py line 109 1688082] Train: [45/100][150/300] Data 0.004 (0.006) Batch 0.472 (0.336) Remain 01:33:13 loss: 0.3104 Lr: 3.78594e-03 +[2025-02-27 05:14:36,382 INFO hook.py line 109 1688082] Train: [45/100][200/300] Data 0.004 (0.006) Batch 0.441 (0.345) Remain 01:35:32 loss: 0.5563 Lr: 3.76997e-03 +[2025-02-27 05:14:55,643 INFO hook.py line 109 1688082] Train: [45/100][250/300] Data 0.003 (0.007) Batch 0.397 (0.353) Remain 01:37:29 loss: 0.4449 Lr: 3.75398e-03 +[2025-02-27 05:15:09,404 INFO hook.py line 109 1688082] Train: [45/100][300/300] Data 0.002 (0.006) Batch 0.193 (0.340) Remain 01:33:34 loss: 0.7084 Lr: 3.73796e-03 +[2025-02-27 05:15:09,405 INFO misc.py line 135 1688082] Train result: loss: 0.5970 +[2025-02-27 05:15:09,496 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:15:29,032 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4709 +[2025-02-27 05:15:29,113 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1314 +[2025-02-27 05:15:29,302 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.4996 +[2025-02-27 05:15:29,469 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5780 +[2025-02-27 05:15:29,555 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6014 +[2025-02-27 05:15:29,638 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0759 +[2025-02-27 05:15:29,750 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9297 +[2025-02-27 05:15:29,776 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3541 +[2025-02-27 05:15:29,819 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1418 +[2025-02-27 05:15:29,879 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1444 +[2025-02-27 05:15:29,929 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7583 +[2025-02-27 05:15:29,972 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2400 +[2025-02-27 05:15:30,018 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4565 +[2025-02-27 05:15:30,167 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1303 +[2025-02-27 05:15:30,205 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7778 +[2025-02-27 05:15:30,249 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.2167 +[2025-02-27 05:15:30,287 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0563 +[2025-02-27 05:15:30,324 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0252 +[2025-02-27 05:15:30,371 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4648 +[2025-02-27 05:15:30,404 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2253 +[2025-02-27 05:15:30,443 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3581 +[2025-02-27 05:15:30,499 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8531 +[2025-02-27 05:15:30,529 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.8368 +[2025-02-27 05:15:30,571 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0981 +[2025-02-27 05:15:30,613 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0934 +[2025-02-27 05:15:30,652 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9414 +[2025-02-27 05:15:30,701 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5845 +[2025-02-27 05:15:30,737 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6766 +[2025-02-27 05:15:30,771 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4081 +[2025-02-27 05:15:30,823 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6500 +[2025-02-27 05:15:30,886 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7050 +[2025-02-27 05:15:30,925 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0223 +[2025-02-27 05:15:30,975 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3228 +[2025-02-27 05:15:31,011 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1172 +[2025-02-27 05:15:31,047 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4584 +[2025-02-27 05:15:31,085 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1070 +[2025-02-27 05:15:31,120 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5104 +[2025-02-27 05:15:31,155 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5395 +[2025-02-27 05:15:31,211 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7970 +[2025-02-27 05:15:31,258 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9248 +[2025-02-27 05:15:31,308 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2660 +[2025-02-27 05:15:31,334 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3276 +[2025-02-27 05:15:31,378 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7774 +[2025-02-27 05:15:31,432 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8729 +[2025-02-27 05:15:31,472 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9978 +[2025-02-27 05:15:31,524 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.6071 +[2025-02-27 05:15:31,566 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1440 +[2025-02-27 05:15:31,601 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7444 +[2025-02-27 05:15:31,632 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8531 +[2025-02-27 05:15:31,662 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2698 +[2025-02-27 05:15:31,689 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2182 +[2025-02-27 05:15:31,722 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3839 +[2025-02-27 05:15:31,746 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4446 +[2025-02-27 05:15:31,781 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2346 +[2025-02-27 05:15:31,816 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2940 +[2025-02-27 05:15:31,855 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4355 +[2025-02-27 05:15:31,888 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2130 +[2025-02-27 05:15:31,916 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9956 +[2025-02-27 05:15:31,952 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2841 +[2025-02-27 05:15:31,981 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.8872 +[2025-02-27 05:15:32,005 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9263 +[2025-02-27 05:15:32,036 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9691 +[2025-02-27 05:15:32,069 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6396 +[2025-02-27 05:15:32,123 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6719 +[2025-02-27 05:15:32,149 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1322 +[2025-02-27 05:15:32,187 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0040 +[2025-02-27 05:15:32,224 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8368 +[2025-02-27 05:15:32,256 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1431 +[2025-02-27 05:15:32,285 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3260 +[2025-02-27 05:15:32,337 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2228 +[2025-02-27 05:15:32,380 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3466 +[2025-02-27 05:15:32,429 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4429 +[2025-02-27 05:15:32,475 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5715 +[2025-02-27 05:15:32,513 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0347 +[2025-02-27 05:15:32,559 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7221 +[2025-02-27 05:15:32,587 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0678 +[2025-02-27 05:15:32,638 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8359 +[2025-02-27 05:15:32,663 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8171 +[2025-02-27 05:15:34,429 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:15:34,430 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:15:34,431 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:15:34,431 INFO hook.py line 232 1688082] wall : 0.7207 0.8564 +[2025-02-27 05:15:34,432 INFO hook.py line 232 1688082] floor : 0.9439 0.9833 +[2025-02-27 05:15:34,432 INFO hook.py line 232 1688082] cabinet : 0.3914 0.4274 +[2025-02-27 05:15:34,433 INFO hook.py line 232 1688082] bed : 0.6626 0.7405 +[2025-02-27 05:15:34,433 INFO hook.py line 232 1688082] chair : 0.7979 0.8511 +[2025-02-27 05:15:34,434 INFO hook.py line 232 1688082] sofa : 0.6559 0.8928 +[2025-02-27 05:15:34,434 INFO hook.py line 232 1688082] table : 0.5964 0.6800 +[2025-02-27 05:15:34,435 INFO hook.py line 232 1688082] door : 0.3873 0.6818 +[2025-02-27 05:15:34,435 INFO hook.py line 232 1688082] window : 0.4190 0.6061 +[2025-02-27 05:15:34,435 INFO hook.py line 232 1688082] bookshelf : 0.6208 0.7741 +[2025-02-27 05:15:34,435 INFO hook.py line 232 1688082] picture : 0.1479 0.3202 +[2025-02-27 05:15:34,436 INFO hook.py line 232 1688082] counter : 0.5184 0.7034 +[2025-02-27 05:15:34,436 INFO hook.py line 232 1688082] desk : 0.4589 0.6575 +[2025-02-27 05:15:34,436 INFO hook.py line 232 1688082] curtain : 0.4898 0.6936 +[2025-02-27 05:15:34,436 INFO hook.py line 232 1688082] refridgerator : 0.3470 0.4950 +[2025-02-27 05:15:34,436 INFO hook.py line 232 1688082] shower curtain : 0.5288 0.5931 +[2025-02-27 05:15:34,437 INFO hook.py line 232 1688082] toilet : 0.8318 0.8874 +[2025-02-27 05:15:34,437 INFO hook.py line 232 1688082] sink : 0.5100 0.5684 +[2025-02-27 05:15:34,437 INFO hook.py line 232 1688082] bathtub : 0.7009 0.8491 +[2025-02-27 05:15:34,437 INFO hook.py line 232 1688082] otherfurniture : 0.3460 0.4252 +[2025-02-27 05:15:34,438 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:15:34,438 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5538/0.6843/0.8136. +[2025-02-27 05:15:34,439 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:15:34,455 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5538 +[2025-02-27 05:15:34,457 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5538 +[2025-02-27 05:15:34,461 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:16:02,373 INFO hook.py line 109 1688082] Train: [46/100][50/300] Data 0.005 (0.006) Batch 0.456 (0.373) Remain 01:42:20 loss: 0.8523 Lr: 3.72193e-03 +[2025-02-27 05:16:21,048 INFO hook.py line 109 1688082] Train: [46/100][100/300] Data 0.005 (0.007) Batch 0.335 (0.373) Remain 01:42:03 loss: 0.8155 Lr: 3.70587e-03 +[2025-02-27 05:16:39,827 INFO hook.py line 109 1688082] Train: [46/100][150/300] Data 0.012 (0.007) Batch 0.396 (0.374) Remain 01:41:57 loss: 0.4248 Lr: 3.68979e-03 +[2025-02-27 05:16:58,155 INFO hook.py line 109 1688082] Train: [46/100][200/300] Data 0.004 (0.008) Batch 0.412 (0.372) Remain 01:41:06 loss: 0.7441 Lr: 3.67369e-03 +[2025-02-27 05:17:12,872 INFO hook.py line 109 1688082] Train: [46/100][250/300] Data 0.005 (0.007) Batch 0.243 (0.356) Remain 01:36:32 loss: 0.9415 Lr: 3.65757e-03 +[2025-02-27 05:17:25,924 INFO hook.py line 109 1688082] Train: [46/100][300/300] Data 0.002 (0.006) Batch 0.336 (0.340) Remain 01:31:54 loss: 0.2707 Lr: 3.64143e-03 +[2025-02-27 05:17:25,926 INFO misc.py line 135 1688082] Train result: loss: 0.5734 +[2025-02-27 05:17:26,074 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:17:55,952 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5593 +[2025-02-27 05:17:56,053 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8807 +[2025-02-27 05:17:56,101 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7540 +[2025-02-27 05:17:56,145 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7433 +[2025-02-27 05:17:56,190 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8310 +[2025-02-27 05:17:56,256 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6575 +[2025-02-27 05:17:56,312 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8467 +[2025-02-27 05:17:56,343 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4224 +[2025-02-27 05:18:03,654 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1536 +[2025-02-27 05:18:03,703 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.2136 +[2025-02-27 05:18:04,532 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9019 +[2025-02-27 05:18:04,813 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1844 +[2025-02-27 05:18:05,177 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0198 +[2025-02-27 05:18:05,229 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5695 +[2025-02-27 05:18:05,271 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.5419 +[2025-02-27 05:18:05,317 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2652 +[2025-02-27 05:18:05,368 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.5303 +[2025-02-27 05:18:05,410 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.7495 +[2025-02-27 05:18:05,451 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4584 +[2025-02-27 05:18:05,486 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9783 +[2025-02-27 05:18:05,530 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3582 +[2025-02-27 05:18:05,570 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5741 +[2025-02-27 05:18:05,609 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.7397 +[2025-02-27 05:18:05,660 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.9986 +[2025-02-27 05:18:05,699 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.4182 +[2025-02-27 05:18:05,738 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.4737 +[2025-02-27 05:18:05,786 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4206 +[2025-02-27 05:18:05,817 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7378 +[2025-02-27 05:18:05,846 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4677 +[2025-02-27 05:18:05,897 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7811 +[2025-02-27 05:18:05,951 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8026 +[2025-02-27 05:18:05,983 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8348 +[2025-02-27 05:18:06,033 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4656 +[2025-02-27 05:18:06,073 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3753 +[2025-02-27 05:18:06,118 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6189 +[2025-02-27 05:18:06,156 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0051 +[2025-02-27 05:18:06,201 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5911 +[2025-02-27 05:18:06,240 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5322 +[2025-02-27 05:18:06,296 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9937 +[2025-02-27 05:18:06,340 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7065 +[2025-02-27 05:18:06,380 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.5481 +[2025-02-27 05:18:06,407 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3268 +[2025-02-27 05:18:06,450 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7721 +[2025-02-27 05:18:06,503 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8026 +[2025-02-27 05:18:06,540 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.2788 +[2025-02-27 05:18:06,587 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9474 +[2025-02-27 05:18:06,623 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.4280 +[2025-02-27 05:18:06,656 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.0313 +[2025-02-27 05:18:06,694 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2310 +[2025-02-27 05:18:06,725 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0137 +[2025-02-27 05:18:06,754 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.5115 +[2025-02-27 05:18:06,787 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5315 +[2025-02-27 05:18:06,812 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5422 +[2025-02-27 05:18:06,847 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5962 +[2025-02-27 05:18:06,885 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1852 +[2025-02-27 05:18:06,924 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5316 +[2025-02-27 05:18:06,957 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0216 +[2025-02-27 05:18:06,996 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.5626 +[2025-02-27 05:18:07,033 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0623 +[2025-02-27 05:18:07,066 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1106 +[2025-02-27 05:18:07,092 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9456 +[2025-02-27 05:18:07,125 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.6216 +[2025-02-27 05:18:07,159 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4465 +[2025-02-27 05:18:07,213 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8672 +[2025-02-27 05:18:07,240 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3721 +[2025-02-27 05:18:07,278 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.6614 +[2025-02-27 05:18:07,315 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8050 +[2025-02-27 05:18:07,347 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9726 +[2025-02-27 05:18:07,376 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4059 +[2025-02-27 05:18:07,428 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.6339 +[2025-02-27 05:18:07,469 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5438 +[2025-02-27 05:18:07,517 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6875 +[2025-02-27 05:18:07,563 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.8003 +[2025-02-27 05:18:07,602 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3011 +[2025-02-27 05:18:07,649 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7766 +[2025-02-27 05:18:07,677 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3638 +[2025-02-27 05:18:07,729 INFO hook.py line 289 1688082] Test: [77/78] Loss 1.3103 +[2025-02-27 05:18:07,754 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.4703 +[2025-02-27 05:18:09,475 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:18:09,476 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:18:09,476 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] wall : 0.7305 0.8301 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] floor : 0.9498 0.9768 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] cabinet : 0.4239 0.6657 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] bed : 0.6507 0.6755 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] chair : 0.8232 0.9146 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] sofa : 0.7157 0.7748 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] table : 0.5925 0.6808 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] door : 0.3786 0.7628 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] window : 0.3848 0.4824 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] bookshelf : 0.5983 0.7395 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] picture : 0.1833 0.2735 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] counter : 0.2866 0.3101 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] desk : 0.4437 0.7747 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] curtain : 0.4705 0.7132 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] refridgerator : 0.3331 0.3886 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] shower curtain : 0.3598 0.3956 +[2025-02-27 05:18:09,476 INFO hook.py line 232 1688082] toilet : 0.7556 0.7686 +[2025-02-27 05:18:09,477 INFO hook.py line 232 1688082] sink : 0.4716 0.6072 +[2025-02-27 05:18:09,477 INFO hook.py line 232 1688082] bathtub : 0.7359 0.7750 +[2025-02-27 05:18:09,477 INFO hook.py line 232 1688082] otherfurniture : 0.3703 0.4710 +[2025-02-27 05:18:09,477 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:18:09,477 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5329/0.6490/0.8124. +[2025-02-27 05:18:09,477 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:18:09,498 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5538 +[2025-02-27 05:18:09,499 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:18:35,988 INFO hook.py line 109 1688082] Train: [47/100][50/300] Data 0.004 (0.008) Batch 0.299 (0.379) Remain 01:41:54 loss: 0.5304 Lr: 3.62527e-03 +[2025-02-27 05:18:54,702 INFO hook.py line 109 1688082] Train: [47/100][100/300] Data 0.006 (0.008) Batch 0.484 (0.376) Remain 01:40:59 loss: 0.2973 Lr: 3.60909e-03 +[2025-02-27 05:19:13,941 INFO hook.py line 109 1688082] Train: [47/100][150/300] Data 0.003 (0.008) Batch 0.308 (0.379) Remain 01:41:26 loss: 0.5216 Lr: 3.59289e-03 +[2025-02-27 05:19:32,629 INFO hook.py line 109 1688082] Train: [47/100][200/300] Data 0.009 (0.008) Batch 0.441 (0.378) Remain 01:40:45 loss: 0.5706 Lr: 3.57667e-03 +[2025-02-27 05:19:51,776 INFO hook.py line 109 1688082] Train: [47/100][250/300] Data 0.005 (0.008) Batch 0.294 (0.379) Remain 01:40:42 loss: 0.4461 Lr: 3.56044e-03 +[2025-02-27 05:20:05,733 INFO hook.py line 109 1688082] Train: [47/100][300/300] Data 0.002 (0.007) Batch 0.191 (0.362) Remain 01:35:57 loss: 0.6670 Lr: 3.54419e-03 +[2025-02-27 05:20:05,734 INFO misc.py line 135 1688082] Train result: loss: 0.5881 +[2025-02-27 05:20:05,843 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:20:24,080 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3119 +[2025-02-27 05:20:24,138 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2631 +[2025-02-27 05:20:24,916 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8042 +[2025-02-27 05:20:25,090 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5622 +[2025-02-27 05:20:25,121 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6396 +[2025-02-27 05:20:25,178 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7923 +[2025-02-27 05:20:25,227 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8959 +[2025-02-27 05:20:25,256 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6384 +[2025-02-27 05:20:25,302 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1793 +[2025-02-27 05:20:25,651 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.2606 +[2025-02-27 05:20:25,699 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6873 +[2025-02-27 05:20:25,731 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0911 +[2025-02-27 05:20:25,781 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.1796 +[2025-02-27 05:20:25,837 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.8716 +[2025-02-27 05:20:25,880 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.3902 +[2025-02-27 05:20:25,937 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3010 +[2025-02-27 05:20:25,975 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9834 +[2025-02-27 05:20:26,008 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3817 +[2025-02-27 05:20:26,057 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3096 +[2025-02-27 05:20:26,092 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2267 +[2025-02-27 05:20:26,124 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3353 +[2025-02-27 05:20:26,170 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6097 +[2025-02-27 05:20:26,200 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9244 +[2025-02-27 05:20:26,241 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3088 +[2025-02-27 05:20:26,280 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0243 +[2025-02-27 05:20:26,320 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8653 +[2025-02-27 05:20:26,370 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3442 +[2025-02-27 05:20:26,403 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8712 +[2025-02-27 05:20:26,435 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4292 +[2025-02-27 05:20:26,492 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6577 +[2025-02-27 05:20:26,545 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7006 +[2025-02-27 05:20:26,578 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8169 +[2025-02-27 05:20:26,629 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3702 +[2025-02-27 05:20:26,678 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2651 +[2025-02-27 05:20:26,721 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6950 +[2025-02-27 05:20:26,770 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3164 +[2025-02-27 05:20:26,808 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6002 +[2025-02-27 05:20:26,841 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4958 +[2025-02-27 05:20:26,901 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9732 +[2025-02-27 05:20:26,946 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7073 +[2025-02-27 05:20:26,994 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2602 +[2025-02-27 05:20:27,021 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3827 +[2025-02-27 05:20:27,054 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5078 +[2025-02-27 05:20:27,110 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7105 +[2025-02-27 05:20:27,148 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8177 +[2025-02-27 05:20:27,191 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8501 +[2025-02-27 05:20:27,227 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.7373 +[2025-02-27 05:20:27,258 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7001 +[2025-02-27 05:20:27,290 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7438 +[2025-02-27 05:20:27,322 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3735 +[2025-02-27 05:20:27,350 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0730 +[2025-02-27 05:20:27,383 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2730 +[2025-02-27 05:20:27,408 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5376 +[2025-02-27 05:20:27,441 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.1245 +[2025-02-27 05:20:27,477 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1382 +[2025-02-27 05:20:27,515 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3481 +[2025-02-27 05:20:27,547 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8463 +[2025-02-27 05:20:27,575 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8924 +[2025-02-27 05:20:27,612 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1606 +[2025-02-27 05:20:27,642 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1056 +[2025-02-27 05:20:27,667 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1239 +[2025-02-27 05:20:27,699 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8394 +[2025-02-27 05:20:27,735 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3984 +[2025-02-27 05:20:27,790 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6416 +[2025-02-27 05:20:27,816 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1490 +[2025-02-27 05:20:27,855 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8132 +[2025-02-27 05:20:27,891 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6593 +[2025-02-27 05:20:27,923 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1218 +[2025-02-27 05:20:27,953 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3425 +[2025-02-27 05:20:28,005 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4242 +[2025-02-27 05:20:28,047 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4093 +[2025-02-27 05:20:28,096 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6468 +[2025-02-27 05:20:28,142 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5819 +[2025-02-27 05:20:28,182 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8990 +[2025-02-27 05:20:28,229 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5905 +[2025-02-27 05:20:28,257 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3108 +[2025-02-27 05:20:28,309 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5596 +[2025-02-27 05:20:28,333 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8372 +[2025-02-27 05:20:29,620 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:20:29,620 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:20:29,620 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] wall : 0.7510 0.9021 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] floor : 0.9455 0.9727 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] cabinet : 0.4575 0.5684 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] bed : 0.6262 0.7717 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] chair : 0.8025 0.9319 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] sofa : 0.7443 0.8401 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] table : 0.5790 0.7258 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] door : 0.4482 0.5886 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] window : 0.3745 0.4809 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] bookshelf : 0.6713 0.7548 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] picture : 0.1753 0.2498 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] counter : 0.4815 0.6515 +[2025-02-27 05:20:29,620 INFO hook.py line 232 1688082] desk : 0.4267 0.6196 +[2025-02-27 05:20:29,621 INFO hook.py line 232 1688082] curtain : 0.4447 0.7373 +[2025-02-27 05:20:29,621 INFO hook.py line 232 1688082] refridgerator : 0.3112 0.3393 +[2025-02-27 05:20:29,621 INFO hook.py line 232 1688082] shower curtain : 0.3080 0.6448 +[2025-02-27 05:20:29,621 INFO hook.py line 232 1688082] toilet : 0.7801 0.8977 +[2025-02-27 05:20:29,621 INFO hook.py line 232 1688082] sink : 0.4584 0.5642 +[2025-02-27 05:20:29,621 INFO hook.py line 232 1688082] bathtub : 0.6794 0.8473 +[2025-02-27 05:20:29,621 INFO hook.py line 232 1688082] otherfurniture : 0.3417 0.3890 +[2025-02-27 05:20:29,621 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:20:29,621 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5403/0.6739/0.8265. +[2025-02-27 05:20:29,621 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:20:29,631 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5538 +[2025-02-27 05:20:29,631 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:20:49,741 INFO hook.py line 109 1688082] Train: [48/100][50/300] Data 0.007 (0.004) Batch 0.243 (0.256) Remain 01:07:39 loss: 0.8500 Lr: 3.52792e-03 +[2025-02-27 05:21:09,183 INFO hook.py line 109 1688082] Train: [48/100][100/300] Data 0.002 (0.006) Batch 0.416 (0.324) Remain 01:25:26 loss: 0.5946 Lr: 3.51164e-03 +[2025-02-27 05:21:26,919 INFO hook.py line 109 1688082] Train: [48/100][150/300] Data 0.003 (0.006) Batch 0.232 (0.335) Remain 01:27:53 loss: 0.7875 Lr: 3.49534e-03 +[2025-02-27 05:21:49,974 INFO hook.py line 109 1688082] Train: [48/100][200/300] Data 0.007 (0.007) Batch 0.349 (0.367) Remain 01:35:59 loss: 0.5449 Lr: 3.47903e-03 +[2025-02-27 05:22:09,133 INFO hook.py line 109 1688082] Train: [48/100][250/300] Data 0.011 (0.007) Batch 0.348 (0.370) Remain 01:36:32 loss: 0.6913 Lr: 3.46270e-03 +[2025-02-27 05:22:22,891 INFO hook.py line 109 1688082] Train: [48/100][300/300] Data 0.001 (0.007) Batch 0.206 (0.354) Remain 01:32:05 loss: 0.9279 Lr: 3.44635e-03 +[2025-02-27 05:22:22,892 INFO misc.py line 135 1688082] Train result: loss: 0.5806 +[2025-02-27 05:22:22,970 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:22:43,359 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3524 +[2025-02-27 05:22:43,441 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.7961 +[2025-02-27 05:22:43,700 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8033 +[2025-02-27 05:22:43,747 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5303 +[2025-02-27 05:22:43,789 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7151 +[2025-02-27 05:22:43,842 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.2503 +[2025-02-27 05:22:43,891 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8834 +[2025-02-27 05:22:43,932 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4741 +[2025-02-27 05:22:43,974 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2077 +[2025-02-27 05:22:44,021 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.0037 +[2025-02-27 05:22:44,063 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7116 +[2025-02-27 05:22:44,095 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1166 +[2025-02-27 05:22:44,141 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.1923 +[2025-02-27 05:22:44,179 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1696 +[2025-02-27 05:22:44,214 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7646 +[2025-02-27 05:22:44,260 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.6952 +[2025-02-27 05:22:44,298 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8251 +[2025-02-27 05:22:44,335 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0024 +[2025-02-27 05:22:44,379 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1693 +[2025-02-27 05:22:44,414 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9561 +[2025-02-27 05:22:44,447 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3484 +[2025-02-27 05:22:44,485 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5678 +[2025-02-27 05:22:44,513 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.8389 +[2025-02-27 05:22:44,555 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2152 +[2025-02-27 05:22:44,595 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1008 +[2025-02-27 05:22:44,640 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7496 +[2025-02-27 05:22:44,686 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6536 +[2025-02-27 05:22:44,726 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8933 +[2025-02-27 05:22:44,763 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4239 +[2025-02-27 05:22:44,823 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7526 +[2025-02-27 05:22:44,882 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6118 +[2025-02-27 05:22:44,923 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0994 +[2025-02-27 05:22:44,978 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.5294 +[2025-02-27 05:22:45,018 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1005 +[2025-02-27 05:22:45,053 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6114 +[2025-02-27 05:22:45,105 INFO hook.py line 289 1688082] Test: [36/78] Loss 0.9858 +[2025-02-27 05:22:45,140 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6838 +[2025-02-27 05:22:45,171 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4627 +[2025-02-27 05:22:45,228 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7265 +[2025-02-27 05:22:45,282 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.6187 +[2025-02-27 05:22:45,337 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1509 +[2025-02-27 05:22:45,372 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3085 +[2025-02-27 05:22:45,416 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4661 +[2025-02-27 05:22:45,468 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7136 +[2025-02-27 05:22:45,510 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9255 +[2025-02-27 05:22:45,552 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8343 +[2025-02-27 05:22:45,588 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.6274 +[2025-02-27 05:22:45,621 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7866 +[2025-02-27 05:22:45,652 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8508 +[2025-02-27 05:22:45,682 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4724 +[2025-02-27 05:22:45,710 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.8926 +[2025-02-27 05:22:45,741 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4503 +[2025-02-27 05:22:45,766 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5202 +[2025-02-27 05:22:45,800 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.1193 +[2025-02-27 05:22:45,836 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0863 +[2025-02-27 05:22:45,876 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4486 +[2025-02-27 05:22:45,907 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8216 +[2025-02-27 05:22:45,934 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1412 +[2025-02-27 05:22:45,970 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9389 +[2025-02-27 05:22:46,001 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0886 +[2025-02-27 05:22:46,027 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1438 +[2025-02-27 05:22:46,060 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9020 +[2025-02-27 05:22:46,094 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2435 +[2025-02-27 05:22:46,148 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6349 +[2025-02-27 05:22:46,176 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2192 +[2025-02-27 05:22:46,215 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8001 +[2025-02-27 05:22:46,251 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7001 +[2025-02-27 05:22:46,283 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2303 +[2025-02-27 05:22:46,312 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3300 +[2025-02-27 05:22:46,364 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2450 +[2025-02-27 05:22:46,405 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4834 +[2025-02-27 05:22:46,453 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5333 +[2025-02-27 05:22:46,499 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4385 +[2025-02-27 05:22:46,539 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0298 +[2025-02-27 05:22:46,585 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5365 +[2025-02-27 05:22:46,613 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1629 +[2025-02-27 05:22:46,664 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6203 +[2025-02-27 05:22:46,690 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5938 +[2025-02-27 05:22:48,189 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:22:48,190 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:22:48,190 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:22:48,191 INFO hook.py line 232 1688082] wall : 0.7723 0.9069 +[2025-02-27 05:22:48,191 INFO hook.py line 232 1688082] floor : 0.9501 0.9783 +[2025-02-27 05:22:48,191 INFO hook.py line 232 1688082] cabinet : 0.4361 0.6585 +[2025-02-27 05:22:48,191 INFO hook.py line 232 1688082] bed : 0.6570 0.7451 +[2025-02-27 05:22:48,191 INFO hook.py line 232 1688082] chair : 0.8167 0.8915 +[2025-02-27 05:22:48,191 INFO hook.py line 232 1688082] sofa : 0.6966 0.9014 +[2025-02-27 05:22:48,191 INFO hook.py line 232 1688082] table : 0.6043 0.7400 +[2025-02-27 05:22:48,192 INFO hook.py line 232 1688082] door : 0.4354 0.5731 +[2025-02-27 05:22:48,192 INFO hook.py line 232 1688082] window : 0.3925 0.4787 +[2025-02-27 05:22:48,192 INFO hook.py line 232 1688082] bookshelf : 0.6068 0.7272 +[2025-02-27 05:22:48,192 INFO hook.py line 232 1688082] picture : 0.1709 0.2207 +[2025-02-27 05:22:48,192 INFO hook.py line 232 1688082] counter : 0.4365 0.5638 +[2025-02-27 05:22:48,192 INFO hook.py line 232 1688082] desk : 0.4415 0.6469 +[2025-02-27 05:22:48,193 INFO hook.py line 232 1688082] curtain : 0.5927 0.7290 +[2025-02-27 05:22:48,193 INFO hook.py line 232 1688082] refridgerator : 0.3231 0.4830 +[2025-02-27 05:22:48,193 INFO hook.py line 232 1688082] shower curtain : 0.5062 0.6260 +[2025-02-27 05:22:48,193 INFO hook.py line 232 1688082] toilet : 0.7673 0.8118 +[2025-02-27 05:22:48,193 INFO hook.py line 232 1688082] sink : 0.4907 0.6050 +[2025-02-27 05:22:48,193 INFO hook.py line 232 1688082] bathtub : 0.6753 0.7452 +[2025-02-27 05:22:48,193 INFO hook.py line 232 1688082] otherfurniture : 0.3953 0.4959 +[2025-02-27 05:22:48,193 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:22:48,193 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5584/0.6764/0.8341. +[2025-02-27 05:22:48,194 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:22:48,204 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5584 +[2025-02-27 05:22:48,205 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5584 +[2025-02-27 05:22:48,205 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:23:15,436 INFO hook.py line 109 1688082] Train: [49/100][50/300] Data 0.015 (0.007) Batch 0.301 (0.372) Remain 01:36:31 loss: 0.4024 Lr: 3.43033e-03 +[2025-02-27 05:23:34,026 INFO hook.py line 109 1688082] Train: [49/100][100/300] Data 0.011 (0.007) Batch 0.423 (0.372) Remain 01:36:07 loss: 0.2974 Lr: 3.41396e-03 +[2025-02-27 05:23:52,859 INFO hook.py line 109 1688082] Train: [49/100][150/300] Data 0.008 (0.007) Batch 0.382 (0.374) Remain 01:36:12 loss: 0.4936 Lr: 3.39758e-03 +[2025-02-27 05:24:11,893 INFO hook.py line 109 1688082] Train: [49/100][200/300] Data 0.005 (0.007) Batch 0.323 (0.375) Remain 01:36:21 loss: 0.3232 Lr: 3.38118e-03 +[2025-02-27 05:24:29,710 INFO hook.py line 109 1688082] Train: [49/100][250/300] Data 0.003 (0.007) Batch 0.244 (0.372) Remain 01:35:03 loss: 0.5028 Lr: 3.36478e-03 +[2025-02-27 05:24:40,658 INFO hook.py line 109 1688082] Train: [49/100][300/300] Data 0.001 (0.006) Batch 0.174 (0.346) Remain 01:28:11 loss: 0.9687 Lr: 3.34836e-03 +[2025-02-27 05:24:40,658 INFO misc.py line 135 1688082] Train result: loss: 0.5856 +[2025-02-27 05:24:40,736 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:25:00,238 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3573 +[2025-02-27 05:25:00,664 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1852 +[2025-02-27 05:25:01,241 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9335 +[2025-02-27 05:25:01,290 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6728 +[2025-02-27 05:25:01,330 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8216 +[2025-02-27 05:25:01,378 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7802 +[2025-02-27 05:25:01,427 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9109 +[2025-02-27 05:25:01,456 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4209 +[2025-02-27 05:25:01,506 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1353 +[2025-02-27 05:25:01,541 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3209 +[2025-02-27 05:25:01,583 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8514 +[2025-02-27 05:25:01,616 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1695 +[2025-02-27 05:25:01,676 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9266 +[2025-02-27 05:25:01,715 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5019 +[2025-02-27 05:25:01,752 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.5867 +[2025-02-27 05:25:02,065 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1237 +[2025-02-27 05:25:02,111 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7430 +[2025-02-27 05:25:02,156 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9160 +[2025-02-27 05:25:02,200 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5916 +[2025-02-27 05:25:02,233 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9502 +[2025-02-27 05:25:02,274 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3224 +[2025-02-27 05:25:02,311 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5673 +[2025-02-27 05:25:02,338 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2568 +[2025-02-27 05:25:02,378 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0205 +[2025-02-27 05:25:02,424 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1639 +[2025-02-27 05:25:02,463 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9906 +[2025-02-27 05:25:02,509 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3396 +[2025-02-27 05:25:02,543 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7448 +[2025-02-27 05:25:02,576 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3340 +[2025-02-27 05:25:02,626 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6816 +[2025-02-27 05:25:02,679 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6809 +[2025-02-27 05:25:02,711 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9857 +[2025-02-27 05:25:02,760 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3062 +[2025-02-27 05:25:02,798 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4243 +[2025-02-27 05:25:02,834 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5404 +[2025-02-27 05:25:02,872 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0656 +[2025-02-27 05:25:02,909 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7083 +[2025-02-27 05:25:02,944 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4680 +[2025-02-27 05:25:02,999 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0307 +[2025-02-27 05:25:03,043 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7478 +[2025-02-27 05:25:03,087 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2062 +[2025-02-27 05:25:03,119 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2843 +[2025-02-27 05:25:03,154 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4593 +[2025-02-27 05:25:03,205 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7470 +[2025-02-27 05:25:03,237 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9145 +[2025-02-27 05:25:03,282 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8443 +[2025-02-27 05:25:03,317 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1629 +[2025-02-27 05:25:03,346 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8430 +[2025-02-27 05:25:03,375 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.4646 +[2025-02-27 05:25:03,403 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2197 +[2025-02-27 05:25:03,430 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.6047 +[2025-02-27 05:25:03,459 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.1266 +[2025-02-27 05:25:03,481 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4940 +[2025-02-27 05:25:03,513 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2028 +[2025-02-27 05:25:03,546 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0814 +[2025-02-27 05:25:03,583 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2834 +[2025-02-27 05:25:03,611 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.3218 +[2025-02-27 05:25:03,635 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9234 +[2025-02-27 05:25:03,669 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0484 +[2025-02-27 05:25:03,697 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0719 +[2025-02-27 05:25:03,720 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8627 +[2025-02-27 05:25:03,749 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9240 +[2025-02-27 05:25:03,781 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5178 +[2025-02-27 05:25:03,833 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6523 +[2025-02-27 05:25:03,857 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3381 +[2025-02-27 05:25:03,894 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9587 +[2025-02-27 05:25:03,928 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6200 +[2025-02-27 05:25:03,957 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2803 +[2025-02-27 05:25:03,984 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4202 +[2025-02-27 05:25:04,034 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.0952 +[2025-02-27 05:25:04,074 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4486 +[2025-02-27 05:25:04,122 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6078 +[2025-02-27 05:25:04,166 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4116 +[2025-02-27 05:25:04,202 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0687 +[2025-02-27 05:25:04,247 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7157 +[2025-02-27 05:25:04,273 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1118 +[2025-02-27 05:25:04,323 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4999 +[2025-02-27 05:25:04,346 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7906 +[2025-02-27 05:25:05,562 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:25:05,563 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:25:05,563 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:25:05,564 INFO hook.py line 232 1688082] wall : 0.7561 0.9071 +[2025-02-27 05:25:05,564 INFO hook.py line 232 1688082] floor : 0.9472 0.9708 +[2025-02-27 05:25:05,564 INFO hook.py line 232 1688082] cabinet : 0.4506 0.6339 +[2025-02-27 05:25:05,564 INFO hook.py line 232 1688082] bed : 0.7235 0.8162 +[2025-02-27 05:25:05,564 INFO hook.py line 232 1688082] chair : 0.8188 0.9288 +[2025-02-27 05:25:05,564 INFO hook.py line 232 1688082] sofa : 0.7474 0.8520 +[2025-02-27 05:25:05,564 INFO hook.py line 232 1688082] table : 0.6027 0.6975 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] door : 0.3958 0.4653 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] window : 0.4396 0.5840 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] bookshelf : 0.6436 0.8432 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] picture : 0.1413 0.2201 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] counter : 0.4886 0.6310 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] desk : 0.4920 0.7593 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] curtain : 0.4692 0.5579 +[2025-02-27 05:25:05,565 INFO hook.py line 232 1688082] refridgerator : 0.3689 0.4480 +[2025-02-27 05:25:05,566 INFO hook.py line 232 1688082] shower curtain : 0.4141 0.5083 +[2025-02-27 05:25:05,566 INFO hook.py line 232 1688082] toilet : 0.7492 0.9365 +[2025-02-27 05:25:05,566 INFO hook.py line 232 1688082] sink : 0.4154 0.7453 +[2025-02-27 05:25:05,566 INFO hook.py line 232 1688082] bathtub : 0.7597 0.8432 +[2025-02-27 05:25:05,566 INFO hook.py line 232 1688082] otherfurniture : 0.3820 0.4581 +[2025-02-27 05:25:05,566 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:25:05,566 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5603/0.6903/0.8337. +[2025-02-27 05:25:05,567 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:25:05,573 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5603 +[2025-02-27 05:25:05,574 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:25:05,574 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:25:28,077 INFO hook.py line 109 1688082] Train: [50/100][50/300] Data 0.004 (0.005) Batch 0.252 (0.307) Remain 01:18:07 loss: 0.6017 Lr: 3.33193e-03 +[2025-02-27 05:25:45,073 INFO hook.py line 109 1688082] Train: [50/100][100/300] Data 0.007 (0.005) Batch 0.609 (0.324) Remain 01:22:06 loss: 0.6596 Lr: 3.31550e-03 +[2025-02-27 05:26:05,794 INFO hook.py line 109 1688082] Train: [50/100][150/300] Data 0.008 (0.006) Batch 0.339 (0.355) Remain 01:29:35 loss: 0.6673 Lr: 3.29905e-03 +[2025-02-27 05:26:24,514 INFO hook.py line 109 1688082] Train: [50/100][200/300] Data 0.006 (0.007) Batch 0.459 (0.360) Remain 01:30:32 loss: 0.9432 Lr: 3.28260e-03 +[2025-02-27 05:26:43,198 INFO hook.py line 109 1688082] Train: [50/100][250/300] Data 0.009 (0.007) Batch 0.380 (0.363) Remain 01:30:57 loss: 0.4454 Lr: 3.26613e-03 +[2025-02-27 05:26:56,986 INFO hook.py line 109 1688082] Train: [50/100][300/300] Data 0.001 (0.006) Batch 0.202 (0.348) Remain 01:26:59 loss: 0.4987 Lr: 3.24966e-03 +[2025-02-27 05:26:56,986 INFO misc.py line 135 1688082] Train result: loss: 0.5714 +[2025-02-27 05:26:57,098 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:27:16,527 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4170 +[2025-02-27 05:27:16,889 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1188 +[2025-02-27 05:27:16,938 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7455 +[2025-02-27 05:27:17,000 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6654 +[2025-02-27 05:27:17,047 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8522 +[2025-02-27 05:27:17,113 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5517 +[2025-02-27 05:27:17,169 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8711 +[2025-02-27 05:27:17,208 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5249 +[2025-02-27 05:27:17,262 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2661 +[2025-02-27 05:27:17,314 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5404 +[2025-02-27 05:27:17,371 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8683 +[2025-02-27 05:27:17,411 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.9855 +[2025-02-27 05:27:17,457 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0987 +[2025-02-27 05:27:17,495 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0973 +[2025-02-27 05:27:17,541 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.6707 +[2025-02-27 05:27:17,586 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4902 +[2025-02-27 05:27:17,628 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8951 +[2025-02-27 05:27:17,662 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0441 +[2025-02-27 05:27:17,701 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5886 +[2025-02-27 05:27:17,742 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9568 +[2025-02-27 05:27:17,782 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4454 +[2025-02-27 05:27:17,820 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6693 +[2025-02-27 05:27:17,853 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1315 +[2025-02-27 05:27:17,903 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1355 +[2025-02-27 05:27:17,948 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3545 +[2025-02-27 05:27:17,987 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9335 +[2025-02-27 05:27:18,035 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6984 +[2025-02-27 05:27:18,068 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7295 +[2025-02-27 05:27:18,096 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4253 +[2025-02-27 05:27:18,153 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7602 +[2025-02-27 05:27:18,209 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8001 +[2025-02-27 05:27:18,251 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7948 +[2025-02-27 05:27:18,307 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3329 +[2025-02-27 05:27:18,349 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1076 +[2025-02-27 05:27:18,393 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.8052 +[2025-02-27 05:27:18,442 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1094 +[2025-02-27 05:27:18,485 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7934 +[2025-02-27 05:27:18,521 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4373 +[2025-02-27 05:27:18,577 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8403 +[2025-02-27 05:27:18,620 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8973 +[2025-02-27 05:27:18,667 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1274 +[2025-02-27 05:27:18,709 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5551 +[2025-02-27 05:27:18,748 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4975 +[2025-02-27 05:27:18,803 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9553 +[2025-02-27 05:27:18,844 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9395 +[2025-02-27 05:27:18,895 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8783 +[2025-02-27 05:27:18,931 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1352 +[2025-02-27 05:27:18,963 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8839 +[2025-02-27 05:27:18,993 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7091 +[2025-02-27 05:27:19,024 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0133 +[2025-02-27 05:27:19,053 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0899 +[2025-02-27 05:27:19,085 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3685 +[2025-02-27 05:27:19,111 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5157 +[2025-02-27 05:27:19,146 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5507 +[2025-02-27 05:27:19,180 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2275 +[2025-02-27 05:27:19,219 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3543 +[2025-02-27 05:27:19,250 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2955 +[2025-02-27 05:27:19,276 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9626 +[2025-02-27 05:27:19,313 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0662 +[2025-02-27 05:27:19,345 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.8090 +[2025-02-27 05:27:19,369 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8931 +[2025-02-27 05:27:19,403 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9575 +[2025-02-27 05:27:19,438 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5300 +[2025-02-27 05:27:19,491 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8188 +[2025-02-27 05:27:19,518 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0856 +[2025-02-27 05:27:19,556 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9659 +[2025-02-27 05:27:19,593 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6869 +[2025-02-27 05:27:19,625 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9407 +[2025-02-27 05:27:19,655 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4057 +[2025-02-27 05:27:19,707 INFO hook.py line 289 1688082] Test: [70/78] Loss 0.9325 +[2025-02-27 05:27:19,749 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5253 +[2025-02-27 05:27:19,797 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5918 +[2025-02-27 05:27:19,843 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5962 +[2025-02-27 05:27:19,882 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4258 +[2025-02-27 05:27:19,929 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.5694 +[2025-02-27 05:27:19,958 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0902 +[2025-02-27 05:27:20,009 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5219 +[2025-02-27 05:27:20,034 INFO hook.py line 289 1688082] Test: [78/78] Loss 1.0672 +[2025-02-27 05:27:21,711 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:27:21,712 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:27:21,712 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] wall : 0.7382 0.8584 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] floor : 0.9484 0.9798 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] cabinet : 0.4179 0.5571 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] bed : 0.6546 0.7451 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] chair : 0.8297 0.9036 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] sofa : 0.7452 0.8453 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] table : 0.5943 0.6686 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] door : 0.3991 0.5062 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] window : 0.3771 0.4645 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] bookshelf : 0.4776 0.9349 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] picture : 0.1551 0.2535 +[2025-02-27 05:27:21,712 INFO hook.py line 232 1688082] counter : 0.4282 0.6833 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] desk : 0.4147 0.6632 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] curtain : 0.5600 0.7092 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] refridgerator : 0.3169 0.5570 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] shower curtain : 0.4811 0.5139 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] toilet : 0.8084 0.8459 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] sink : 0.5245 0.6748 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] bathtub : 0.7845 0.8143 +[2025-02-27 05:27:21,713 INFO hook.py line 232 1688082] otherfurniture : 0.3851 0.5311 +[2025-02-27 05:27:21,713 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:27:21,713 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5520/0.6855/0.8182. +[2025-02-27 05:27:21,713 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:27:21,725 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:27:21,725 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:27:49,140 INFO hook.py line 109 1688082] Train: [51/100][50/300] Data 0.012 (0.008) Batch 0.433 (0.385) Remain 01:36:02 loss: 0.7496 Lr: 3.23318e-03 +[2025-02-27 05:28:07,536 INFO hook.py line 109 1688082] Train: [51/100][100/300] Data 0.004 (0.007) Batch 0.333 (0.376) Remain 01:33:28 loss: 0.4689 Lr: 3.21669e-03 +[2025-02-27 05:28:26,625 INFO hook.py line 109 1688082] Train: [51/100][150/300] Data 0.005 (0.007) Batch 0.445 (0.378) Remain 01:33:36 loss: 0.5728 Lr: 3.20020e-03 +[2025-02-27 05:28:43,719 INFO hook.py line 109 1688082] Train: [51/100][200/300] Data 0.005 (0.007) Batch 0.250 (0.369) Remain 01:31:01 loss: 0.4614 Lr: 3.18370e-03 +[2025-02-27 05:28:56,236 INFO hook.py line 109 1688082] Train: [51/100][250/300] Data 0.009 (0.006) Batch 0.261 (0.345) Remain 01:24:48 loss: 0.5807 Lr: 3.16720e-03 +[2025-02-27 05:29:11,938 INFO hook.py line 109 1688082] Train: [51/100][300/300] Data 0.005 (0.006) Batch 0.323 (0.340) Remain 01:23:14 loss: 0.4897 Lr: 3.15069e-03 +[2025-02-27 05:29:11,939 INFO misc.py line 135 1688082] Train result: loss: 0.5527 +[2025-02-27 05:29:12,106 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:29:32,702 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4515 +[2025-02-27 05:29:32,758 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.3038 +[2025-02-27 05:29:32,830 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7621 +[2025-02-27 05:29:32,886 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6499 +[2025-02-27 05:29:32,960 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8177 +[2025-02-27 05:29:33,038 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.1744 +[2025-02-27 05:29:33,120 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.1606 +[2025-02-27 05:29:33,170 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6694 +[2025-02-27 05:29:33,245 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.0862 +[2025-02-27 05:29:41,711 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1489 +[2025-02-27 05:29:42,091 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8787 +[2025-02-27 05:29:42,134 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.8503 +[2025-02-27 05:29:42,180 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2189 +[2025-02-27 05:29:42,223 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0812 +[2025-02-27 05:29:42,732 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0885 +[2025-02-27 05:29:42,775 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.5265 +[2025-02-27 05:29:42,811 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8668 +[2025-02-27 05:29:42,847 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.4476 +[2025-02-27 05:29:42,890 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1337 +[2025-02-27 05:29:42,931 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0028 +[2025-02-27 05:29:42,967 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3662 +[2025-02-27 05:29:43,006 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6416 +[2025-02-27 05:29:43,045 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2966 +[2025-02-27 05:29:43,093 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2216 +[2025-02-27 05:29:43,146 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3588 +[2025-02-27 05:29:43,189 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9161 +[2025-02-27 05:29:43,236 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.2793 +[2025-02-27 05:29:43,268 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.9140 +[2025-02-27 05:29:43,296 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4365 +[2025-02-27 05:29:43,350 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7602 +[2025-02-27 05:29:43,405 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9272 +[2025-02-27 05:29:43,442 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9802 +[2025-02-27 05:29:43,491 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3905 +[2025-02-27 05:29:43,537 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.0860 +[2025-02-27 05:29:43,574 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5002 +[2025-02-27 05:29:43,618 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2441 +[2025-02-27 05:29:43,662 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8306 +[2025-02-27 05:29:43,691 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6636 +[2025-02-27 05:29:43,747 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8687 +[2025-02-27 05:29:43,790 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7250 +[2025-02-27 05:29:43,839 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2905 +[2025-02-27 05:29:43,883 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4853 +[2025-02-27 05:29:43,930 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6823 +[2025-02-27 05:29:43,983 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7611 +[2025-02-27 05:29:44,016 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1904 +[2025-02-27 05:29:44,059 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1076 +[2025-02-27 05:29:44,094 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3743 +[2025-02-27 05:29:44,125 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9123 +[2025-02-27 05:29:44,155 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1507 +[2025-02-27 05:29:44,186 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2148 +[2025-02-27 05:29:44,213 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0114 +[2025-02-27 05:29:44,244 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3420 +[2025-02-27 05:29:44,268 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4169 +[2025-02-27 05:29:44,301 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5053 +[2025-02-27 05:29:44,336 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1600 +[2025-02-27 05:29:44,374 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4672 +[2025-02-27 05:29:44,405 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.4948 +[2025-02-27 05:29:44,430 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1282 +[2025-02-27 05:29:44,468 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9653 +[2025-02-27 05:29:44,499 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0789 +[2025-02-27 05:29:44,522 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0890 +[2025-02-27 05:29:44,554 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8634 +[2025-02-27 05:29:44,588 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.1814 +[2025-02-27 05:29:44,641 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7277 +[2025-02-27 05:29:44,667 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2423 +[2025-02-27 05:29:44,705 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0336 +[2025-02-27 05:29:44,742 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7858 +[2025-02-27 05:29:44,773 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3205 +[2025-02-27 05:29:44,802 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4898 +[2025-02-27 05:29:44,854 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2150 +[2025-02-27 05:29:44,895 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.7208 +[2025-02-27 05:29:44,943 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6841 +[2025-02-27 05:29:44,990 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.8100 +[2025-02-27 05:29:45,036 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2669 +[2025-02-27 05:29:45,092 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6377 +[2025-02-27 05:29:45,129 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2781 +[2025-02-27 05:29:45,180 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5724 +[2025-02-27 05:29:45,205 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8615 +[2025-02-27 05:29:46,635 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:29:46,635 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:29:46,636 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] wall : 0.7465 0.8788 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] floor : 0.9470 0.9744 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] cabinet : 0.4721 0.5504 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] bed : 0.5781 0.8150 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] chair : 0.8116 0.8618 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] sofa : 0.7119 0.7716 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] table : 0.5104 0.7528 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] door : 0.3886 0.4992 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] window : 0.3273 0.4019 +[2025-02-27 05:29:46,636 INFO hook.py line 232 1688082] bookshelf : 0.6245 0.6788 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] picture : 0.1456 0.2645 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] counter : 0.4286 0.7093 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] desk : 0.4468 0.6536 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] curtain : 0.5304 0.6872 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] refridgerator : 0.3906 0.4821 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] shower curtain : 0.3782 0.8003 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] toilet : 0.7219 0.8596 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] sink : 0.4597 0.6619 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] bathtub : 0.5464 0.9183 +[2025-02-27 05:29:46,637 INFO hook.py line 232 1688082] otherfurniture : 0.3796 0.5954 +[2025-02-27 05:29:46,637 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:29:46,637 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5273/0.6909/0.8165. +[2025-02-27 05:29:46,638 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:29:46,657 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:29:46,658 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:30:13,670 INFO hook.py line 109 1688082] Train: [52/100][50/300] Data 0.013 (0.009) Batch 0.315 (0.383) Remain 01:33:25 loss: 0.4318 Lr: 3.13417e-03 +[2025-02-27 05:30:32,250 INFO hook.py line 109 1688082] Train: [52/100][100/300] Data 0.004 (0.008) Batch 0.321 (0.377) Remain 01:31:43 loss: 0.7910 Lr: 3.11765e-03 +[2025-02-27 05:30:50,601 INFO hook.py line 109 1688082] Train: [52/100][150/300] Data 0.004 (0.007) Batch 0.362 (0.374) Remain 01:30:35 loss: 0.4279 Lr: 3.10113e-03 +[2025-02-27 05:31:09,592 INFO hook.py line 109 1688082] Train: [52/100][200/300] Data 0.012 (0.007) Batch 0.447 (0.375) Remain 01:30:39 loss: 0.6832 Lr: 3.08461e-03 +[2025-02-27 05:31:27,648 INFO hook.py line 109 1688082] Train: [52/100][250/300] Data 0.010 (0.008) Batch 0.385 (0.372) Remain 01:29:39 loss: 0.6048 Lr: 3.06808e-03 +[2025-02-27 05:31:41,376 INFO hook.py line 109 1688082] Train: [52/100][300/300] Data 0.002 (0.007) Batch 0.187 (0.356) Remain 01:25:24 loss: 0.6879 Lr: 3.05155e-03 +[2025-02-27 05:31:41,377 INFO misc.py line 135 1688082] Train result: loss: 0.5428 +[2025-02-27 05:31:41,471 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:32:00,720 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3805 +[2025-02-27 05:32:00,763 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0399 +[2025-02-27 05:32:00,809 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5809 +[2025-02-27 05:32:00,866 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6518 +[2025-02-27 05:32:00,906 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7904 +[2025-02-27 05:32:00,967 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.5428 +[2025-02-27 05:32:01,017 INFO hook.py line 289 1688082] Test: [7/78] Loss 1.0949 +[2025-02-27 05:32:01,051 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4008 +[2025-02-27 05:32:01,095 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1248 +[2025-02-27 05:32:01,264 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4191 +[2025-02-27 05:32:01,306 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7478 +[2025-02-27 05:32:01,350 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2994 +[2025-02-27 05:32:01,470 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.7396 +[2025-02-27 05:32:01,547 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.8872 +[2025-02-27 05:32:01,840 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7459 +[2025-02-27 05:32:01,883 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3863 +[2025-02-27 05:32:01,925 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8351 +[2025-02-27 05:32:01,973 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9699 +[2025-02-27 05:32:02,032 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3101 +[2025-02-27 05:32:02,066 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1476 +[2025-02-27 05:32:02,104 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3729 +[2025-02-27 05:32:02,142 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.2806 +[2025-02-27 05:32:02,191 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0697 +[2025-02-27 05:32:02,238 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1421 +[2025-02-27 05:32:02,283 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.4965 +[2025-02-27 05:32:02,335 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8258 +[2025-02-27 05:32:02,384 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.5258 +[2025-02-27 05:32:02,416 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6058 +[2025-02-27 05:32:02,446 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4413 +[2025-02-27 05:32:02,499 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7105 +[2025-02-27 05:32:02,553 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6753 +[2025-02-27 05:32:02,588 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0121 +[2025-02-27 05:32:02,638 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3219 +[2025-02-27 05:32:02,674 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.5349 +[2025-02-27 05:32:02,715 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7132 +[2025-02-27 05:32:02,758 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4992 +[2025-02-27 05:32:02,793 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6543 +[2025-02-27 05:32:02,822 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5346 +[2025-02-27 05:32:02,883 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0528 +[2025-02-27 05:32:02,925 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2698 +[2025-02-27 05:32:02,973 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0862 +[2025-02-27 05:32:03,012 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4590 +[2025-02-27 05:32:03,055 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5039 +[2025-02-27 05:32:03,106 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8077 +[2025-02-27 05:32:03,151 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9156 +[2025-02-27 05:32:03,205 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9708 +[2025-02-27 05:32:03,245 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.8288 +[2025-02-27 05:32:03,277 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7880 +[2025-02-27 05:32:03,308 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.5082 +[2025-02-27 05:32:03,338 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4329 +[2025-02-27 05:32:03,367 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0738 +[2025-02-27 05:32:03,403 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2712 +[2025-02-27 05:32:03,428 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5676 +[2025-02-27 05:32:03,460 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.7856 +[2025-02-27 05:32:03,495 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1056 +[2025-02-27 05:32:03,533 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4032 +[2025-02-27 05:32:03,564 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0793 +[2025-02-27 05:32:03,591 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8803 +[2025-02-27 05:32:03,628 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1641 +[2025-02-27 05:32:03,659 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.8996 +[2025-02-27 05:32:03,683 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.7016 +[2025-02-27 05:32:03,715 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.7647 +[2025-02-27 05:32:03,750 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6272 +[2025-02-27 05:32:03,804 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6199 +[2025-02-27 05:32:03,831 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3652 +[2025-02-27 05:32:03,869 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9147 +[2025-02-27 05:32:03,906 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6411 +[2025-02-27 05:32:03,937 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2580 +[2025-02-27 05:32:03,966 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3952 +[2025-02-27 05:32:04,017 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2837 +[2025-02-27 05:32:04,057 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4777 +[2025-02-27 05:32:04,105 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4542 +[2025-02-27 05:32:04,151 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5561 +[2025-02-27 05:32:04,191 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.6088 +[2025-02-27 05:32:04,236 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6648 +[2025-02-27 05:32:04,264 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1103 +[2025-02-27 05:32:04,315 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7431 +[2025-02-27 05:32:04,341 INFO hook.py line 289 1688082] Test: [78/78] Loss 1.2782 +[2025-02-27 05:32:05,789 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:32:05,789 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:32:05,789 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] wall : 0.7582 0.8688 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] floor : 0.9421 0.9701 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] cabinet : 0.4576 0.5665 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] bed : 0.6603 0.7810 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] chair : 0.7550 0.8572 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] sofa : 0.5536 0.9282 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] table : 0.6025 0.7703 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] door : 0.4607 0.5684 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] window : 0.4310 0.6100 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] bookshelf : 0.5504 0.8830 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] picture : 0.1544 0.2935 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] counter : 0.4806 0.6219 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] desk : 0.3876 0.4582 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] curtain : 0.5306 0.7902 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] refridgerator : 0.3584 0.4505 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] shower curtain : 0.4795 0.6203 +[2025-02-27 05:32:05,789 INFO hook.py line 232 1688082] toilet : 0.6396 0.9557 +[2025-02-27 05:32:05,790 INFO hook.py line 232 1688082] sink : 0.5271 0.7103 +[2025-02-27 05:32:05,790 INFO hook.py line 232 1688082] bathtub : 0.5887 0.8798 +[2025-02-27 05:32:05,790 INFO hook.py line 232 1688082] otherfurniture : 0.3790 0.4434 +[2025-02-27 05:32:05,790 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:32:05,790 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5348/0.7014/0.8223. +[2025-02-27 05:32:05,790 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:32:05,803 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:32:05,804 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:32:28,190 INFO hook.py line 109 1688082] Train: [53/100][50/300] Data 0.004 (0.005) Batch 0.256 (0.282) Remain 01:07:27 loss: 0.3114 Lr: 3.03502e-03 +[2025-02-27 05:32:44,387 INFO hook.py line 109 1688082] Train: [53/100][100/300] Data 0.006 (0.006) Batch 0.436 (0.304) Remain 01:12:22 loss: 0.7464 Lr: 3.01849e-03 +[2025-02-27 05:33:05,038 INFO hook.py line 109 1688082] Train: [53/100][150/300] Data 0.007 (0.007) Batch 0.333 (0.341) Remain 01:20:57 loss: 0.3037 Lr: 3.00195e-03 +[2025-02-27 05:33:24,635 INFO hook.py line 109 1688082] Train: [53/100][200/300] Data 0.007 (0.007) Batch 0.497 (0.354) Remain 01:23:43 loss: 0.3157 Lr: 2.98542e-03 +[2025-02-27 05:33:44,434 INFO hook.py line 109 1688082] Train: [53/100][250/300] Data 0.004 (0.007) Batch 0.449 (0.362) Remain 01:25:27 loss: 0.7021 Lr: 2.96889e-03 +[2025-02-27 05:33:58,133 INFO hook.py line 109 1688082] Train: [53/100][300/300] Data 0.002 (0.006) Batch 0.188 (0.347) Remain 01:21:39 loss: 0.3345 Lr: 2.95236e-03 +[2025-02-27 05:33:58,133 INFO misc.py line 135 1688082] Train result: loss: 0.5212 +[2025-02-27 05:33:58,226 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:34:17,396 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4350 +[2025-02-27 05:34:18,408 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1278 +[2025-02-27 05:34:18,438 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6797 +[2025-02-27 05:34:18,485 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6199 +[2025-02-27 05:34:18,532 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6045 +[2025-02-27 05:34:18,584 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.4971 +[2025-02-27 05:34:18,632 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7856 +[2025-02-27 05:34:18,674 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4186 +[2025-02-27 05:34:18,729 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1131 +[2025-02-27 05:34:18,771 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.1595 +[2025-02-27 05:34:18,819 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8003 +[2025-02-27 05:34:18,861 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0429 +[2025-02-27 05:34:18,908 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.7900 +[2025-02-27 05:34:18,948 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3528 +[2025-02-27 05:34:18,991 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2695 +[2025-02-27 05:34:19,046 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.5718 +[2025-02-27 05:34:19,089 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0894 +[2025-02-27 05:34:19,131 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0312 +[2025-02-27 05:34:19,180 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1618 +[2025-02-27 05:34:19,215 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9952 +[2025-02-27 05:34:19,255 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3645 +[2025-02-27 05:34:19,299 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6659 +[2025-02-27 05:34:19,338 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.7788 +[2025-02-27 05:34:19,378 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2106 +[2025-02-27 05:34:19,417 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2775 +[2025-02-27 05:34:19,455 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8901 +[2025-02-27 05:34:19,502 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3982 +[2025-02-27 05:34:19,533 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8945 +[2025-02-27 05:34:19,579 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3597 +[2025-02-27 05:34:19,641 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7425 +[2025-02-27 05:34:19,694 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8004 +[2025-02-27 05:34:19,734 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8392 +[2025-02-27 05:34:19,784 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3047 +[2025-02-27 05:34:19,820 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1634 +[2025-02-27 05:34:19,865 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4279 +[2025-02-27 05:34:19,912 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0424 +[2025-02-27 05:34:19,954 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7591 +[2025-02-27 05:34:19,986 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3386 +[2025-02-27 05:34:20,045 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8501 +[2025-02-27 05:34:20,087 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9233 +[2025-02-27 05:34:20,127 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3055 +[2025-02-27 05:34:20,168 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2856 +[2025-02-27 05:34:20,210 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5238 +[2025-02-27 05:34:20,273 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7146 +[2025-02-27 05:34:20,308 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8616 +[2025-02-27 05:34:20,355 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9492 +[2025-02-27 05:34:20,393 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.5790 +[2025-02-27 05:34:20,423 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8304 +[2025-02-27 05:34:20,454 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1951 +[2025-02-27 05:34:20,485 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4143 +[2025-02-27 05:34:20,514 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0247 +[2025-02-27 05:34:20,547 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2121 +[2025-02-27 05:34:20,573 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4220 +[2025-02-27 05:34:20,608 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4724 +[2025-02-27 05:34:20,643 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1362 +[2025-02-27 05:34:20,682 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3767 +[2025-02-27 05:34:20,713 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1489 +[2025-02-27 05:34:20,740 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0407 +[2025-02-27 05:34:20,777 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.8529 +[2025-02-27 05:34:20,809 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1972 +[2025-02-27 05:34:20,835 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0584 +[2025-02-27 05:34:20,868 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8922 +[2025-02-27 05:34:20,905 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4791 +[2025-02-27 05:34:20,960 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6088 +[2025-02-27 05:34:20,990 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2087 +[2025-02-27 05:34:21,036 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0139 +[2025-02-27 05:34:21,073 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7135 +[2025-02-27 05:34:21,105 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1951 +[2025-02-27 05:34:21,135 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4593 +[2025-02-27 05:34:21,187 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.0141 +[2025-02-27 05:34:21,228 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3535 +[2025-02-27 05:34:21,277 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4832 +[2025-02-27 05:34:21,323 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6009 +[2025-02-27 05:34:21,362 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4625 +[2025-02-27 05:34:21,407 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7345 +[2025-02-27 05:34:21,436 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3461 +[2025-02-27 05:34:21,488 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7092 +[2025-02-27 05:34:21,514 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6450 +[2025-02-27 05:34:22,893 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:34:22,893 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:34:22,893 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:34:22,893 INFO hook.py line 232 1688082] wall : 0.7593 0.8710 +[2025-02-27 05:34:22,893 INFO hook.py line 232 1688082] floor : 0.9482 0.9813 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] cabinet : 0.4587 0.6213 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] bed : 0.6401 0.7205 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] chair : 0.8068 0.9011 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] sofa : 0.7156 0.8378 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] table : 0.6003 0.7418 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] door : 0.4463 0.6243 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] window : 0.3588 0.4257 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] bookshelf : 0.6336 0.8103 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] picture : 0.1346 0.1954 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] counter : 0.4665 0.6255 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] desk : 0.4569 0.6773 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] curtain : 0.5285 0.8165 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] refridgerator : 0.2640 0.5579 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] shower curtain : 0.4440 0.5420 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] toilet : 0.7436 0.9324 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] sink : 0.4617 0.6958 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] bathtub : 0.7326 0.8709 +[2025-02-27 05:34:22,894 INFO hook.py line 232 1688082] otherfurniture : 0.3799 0.5024 +[2025-02-27 05:34:22,894 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:34:22,894 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5490/0.6976/0.8278. +[2025-02-27 05:34:22,894 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:34:22,914 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:34:22,914 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:34:50,079 INFO hook.py line 109 1688082] Train: [54/100][50/300] Data 0.009 (0.008) Batch 0.319 (0.379) Remain 01:28:50 loss: 0.7032 Lr: 2.93583e-03 +[2025-02-27 05:35:08,614 INFO hook.py line 109 1688082] Train: [54/100][100/300] Data 0.007 (0.008) Batch 0.383 (0.375) Remain 01:27:30 loss: 0.6211 Lr: 2.91930e-03 +[2025-02-27 05:35:27,758 INFO hook.py line 109 1688082] Train: [54/100][150/300] Data 0.009 (0.008) Batch 0.390 (0.378) Remain 01:27:48 loss: 0.4179 Lr: 2.90277e-03 +[2025-02-27 05:35:47,123 INFO hook.py line 109 1688082] Train: [54/100][200/300] Data 0.012 (0.008) Batch 0.313 (0.380) Remain 01:28:03 loss: 0.3702 Lr: 2.88625e-03 +[2025-02-27 05:36:05,853 INFO hook.py line 109 1688082] Train: [54/100][250/300] Data 0.004 (0.008) Batch 0.365 (0.379) Remain 01:27:29 loss: 0.4904 Lr: 2.86973e-03 +[2025-02-27 05:36:19,491 INFO hook.py line 109 1688082] Train: [54/100][300/300] Data 0.001 (0.007) Batch 0.185 (0.361) Remain 01:23:03 loss: 0.5190 Lr: 2.85321e-03 +[2025-02-27 05:36:19,491 INFO misc.py line 135 1688082] Train result: loss: 0.4939 +[2025-02-27 05:36:19,581 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:36:34,849 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4571 +[2025-02-27 05:36:34,920 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8631 +[2025-02-27 05:36:34,982 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7179 +[2025-02-27 05:36:35,042 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5195 +[2025-02-27 05:36:35,094 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7504 +[2025-02-27 05:36:35,158 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0618 +[2025-02-27 05:36:35,430 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9130 +[2025-02-27 05:36:35,466 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3958 +[2025-02-27 05:36:35,747 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2954 +[2025-02-27 05:36:35,787 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3853 +[2025-02-27 05:36:35,838 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8814 +[2025-02-27 05:36:35,884 INFO hook.py line 289 1688082] Test: [12/78] Loss 2.1252 +[2025-02-27 05:36:35,941 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.1229 +[2025-02-27 05:36:36,419 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0673 +[2025-02-27 05:36:36,462 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9013 +[2025-02-27 05:36:36,517 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.9555 +[2025-02-27 05:36:36,561 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8716 +[2025-02-27 05:36:36,602 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0172 +[2025-02-27 05:36:36,652 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3372 +[2025-02-27 05:36:36,696 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1897 +[2025-02-27 05:36:36,735 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3605 +[2025-02-27 05:36:36,783 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8025 +[2025-02-27 05:36:36,818 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2380 +[2025-02-27 05:36:36,868 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3162 +[2025-02-27 05:36:36,917 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0215 +[2025-02-27 05:36:36,965 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9056 +[2025-02-27 05:36:37,019 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6630 +[2025-02-27 05:36:37,063 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6776 +[2025-02-27 05:36:37,102 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3174 +[2025-02-27 05:36:37,156 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9730 +[2025-02-27 05:36:37,211 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5789 +[2025-02-27 05:36:37,251 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0444 +[2025-02-27 05:36:37,310 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2388 +[2025-02-27 05:36:37,356 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.7066 +[2025-02-27 05:36:37,401 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.3858 +[2025-02-27 05:36:37,446 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3129 +[2025-02-27 05:36:37,482 INFO hook.py line 289 1688082] Test: [37/78] Loss 1.0355 +[2025-02-27 05:36:37,519 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4901 +[2025-02-27 05:36:37,583 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1124 +[2025-02-27 05:36:37,635 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8963 +[2025-02-27 05:36:37,684 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0653 +[2025-02-27 05:36:37,720 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4329 +[2025-02-27 05:36:37,763 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6173 +[2025-02-27 05:36:37,822 INFO hook.py line 289 1688082] Test: [44/78] Loss 1.0630 +[2025-02-27 05:36:37,862 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0674 +[2025-02-27 05:36:37,914 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0928 +[2025-02-27 05:36:37,958 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1173 +[2025-02-27 05:36:37,995 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8899 +[2025-02-27 05:36:38,035 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2271 +[2025-02-27 05:36:38,074 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1895 +[2025-02-27 05:36:38,111 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.9587 +[2025-02-27 05:36:38,146 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4912 +[2025-02-27 05:36:38,179 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4134 +[2025-02-27 05:36:38,220 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.1941 +[2025-02-27 05:36:38,264 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1187 +[2025-02-27 05:36:38,310 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3274 +[2025-02-27 05:36:38,350 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1985 +[2025-02-27 05:36:38,385 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.7094 +[2025-02-27 05:36:38,425 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9536 +[2025-02-27 05:36:38,457 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.2105 +[2025-02-27 05:36:38,490 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9458 +[2025-02-27 05:36:38,525 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8337 +[2025-02-27 05:36:38,558 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3696 +[2025-02-27 05:36:38,620 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6354 +[2025-02-27 05:36:38,653 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2829 +[2025-02-27 05:36:38,700 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0145 +[2025-02-27 05:36:38,739 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6352 +[2025-02-27 05:36:38,778 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9725 +[2025-02-27 05:36:38,815 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3718 +[2025-02-27 05:36:38,875 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.0938 +[2025-02-27 05:36:38,925 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5266 +[2025-02-27 05:36:38,978 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.3840 +[2025-02-27 05:36:39,024 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5219 +[2025-02-27 05:36:39,073 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8865 +[2025-02-27 05:36:39,126 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6173 +[2025-02-27 05:36:39,163 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1197 +[2025-02-27 05:36:39,214 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4685 +[2025-02-27 05:36:39,246 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7338 +[2025-02-27 05:36:40,788 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:36:40,789 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:36:40,789 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] wall : 0.7555 0.8805 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] floor : 0.9529 0.9765 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] cabinet : 0.4756 0.6839 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] bed : 0.6281 0.7888 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] chair : 0.8339 0.8867 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] sofa : 0.6789 0.9128 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] table : 0.6099 0.7964 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] door : 0.3926 0.4631 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] window : 0.3796 0.6402 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] bookshelf : 0.6485 0.7626 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] picture : 0.1569 0.2858 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] counter : 0.4553 0.6348 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] desk : 0.4061 0.5063 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] curtain : 0.5264 0.6557 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] refridgerator : 0.3077 0.3191 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] shower curtain : 0.4768 0.6307 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] toilet : 0.7653 0.9457 +[2025-02-27 05:36:40,789 INFO hook.py line 232 1688082] sink : 0.4876 0.6402 +[2025-02-27 05:36:40,790 INFO hook.py line 232 1688082] bathtub : 0.7998 0.8774 +[2025-02-27 05:36:40,790 INFO hook.py line 232 1688082] otherfurniture : 0.3736 0.4757 +[2025-02-27 05:36:40,790 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:36:40,790 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5555/0.6881/0.8276. +[2025-02-27 05:36:40,790 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:36:40,796 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:36:40,796 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:37:04,765 INFO hook.py line 109 1688082] Train: [55/100][50/300] Data 0.010 (0.005) Batch 0.314 (0.348) Remain 01:19:43 loss: 0.3797 Lr: 2.83670e-03 +[2025-02-27 05:37:20,106 INFO hook.py line 109 1688082] Train: [55/100][100/300] Data 0.026 (0.006) Batch 0.621 (0.327) Remain 01:14:35 loss: 0.8584 Lr: 2.82020e-03 +[2025-02-27 05:37:43,299 INFO hook.py line 109 1688082] Train: [55/100][150/300] Data 0.017 (0.008) Batch 0.402 (0.373) Remain 01:24:56 loss: 0.3010 Lr: 2.80370e-03 +[2025-02-27 05:38:01,898 INFO hook.py line 109 1688082] Train: [55/100][200/300] Data 0.013 (0.008) Batch 0.336 (0.373) Remain 01:24:32 loss: 0.5811 Lr: 2.78720e-03 +[2025-02-27 05:38:20,372 INFO hook.py line 109 1688082] Train: [55/100][250/300] Data 0.007 (0.008) Batch 0.401 (0.372) Remain 01:24:04 loss: 0.3319 Lr: 2.77072e-03 +[2025-02-27 05:38:34,623 INFO hook.py line 109 1688082] Train: [55/100][300/300] Data 0.001 (0.007) Batch 0.194 (0.358) Remain 01:20:27 loss: 0.4179 Lr: 2.75423e-03 +[2025-02-27 05:38:34,623 INFO misc.py line 135 1688082] Train result: loss: 0.5163 +[2025-02-27 05:38:34,726 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:38:54,461 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3350 +[2025-02-27 05:38:54,516 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.1824 +[2025-02-27 05:38:54,560 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6081 +[2025-02-27 05:38:54,617 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7116 +[2025-02-27 05:38:54,659 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9867 +[2025-02-27 05:38:54,714 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8230 +[2025-02-27 05:38:54,763 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8374 +[2025-02-27 05:38:54,793 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4969 +[2025-02-27 05:38:54,836 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3040 +[2025-02-27 05:38:54,884 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4741 +[2025-02-27 05:38:54,929 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7342 +[2025-02-27 05:38:54,960 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0454 +[2025-02-27 05:38:55,023 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9453 +[2025-02-27 05:38:55,064 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1318 +[2025-02-27 05:38:55,114 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.4279 +[2025-02-27 05:38:55,159 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3202 +[2025-02-27 05:38:55,194 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7915 +[2025-02-27 05:38:55,230 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3192 +[2025-02-27 05:38:55,275 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.1252 +[2025-02-27 05:38:55,314 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1582 +[2025-02-27 05:38:55,348 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3364 +[2025-02-27 05:38:55,386 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5980 +[2025-02-27 05:38:55,423 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1410 +[2025-02-27 05:38:55,464 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0477 +[2025-02-27 05:38:55,514 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5530 +[2025-02-27 05:38:55,554 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.2554 +[2025-02-27 05:38:55,601 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6973 +[2025-02-27 05:38:55,638 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8508 +[2025-02-27 05:38:55,671 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4904 +[2025-02-27 05:38:55,726 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9242 +[2025-02-27 05:38:55,779 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9626 +[2025-02-27 05:38:55,813 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7593 +[2025-02-27 05:38:55,864 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4446 +[2025-02-27 05:38:55,906 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1750 +[2025-02-27 05:38:55,943 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7528 +[2025-02-27 05:38:55,984 INFO hook.py line 289 1688082] Test: [36/78] Loss 0.9311 +[2025-02-27 05:38:56,023 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.8853 +[2025-02-27 05:38:56,051 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4475 +[2025-02-27 05:38:56,108 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8741 +[2025-02-27 05:38:56,152 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8495 +[2025-02-27 05:38:56,200 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0649 +[2025-02-27 05:38:56,241 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3488 +[2025-02-27 05:38:56,284 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5085 +[2025-02-27 05:38:56,335 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9094 +[2025-02-27 05:38:56,367 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8021 +[2025-02-27 05:38:56,430 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8241 +[2025-02-27 05:38:56,465 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2792 +[2025-02-27 05:38:56,502 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9892 +[2025-02-27 05:38:56,540 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.9030 +[2025-02-27 05:38:56,576 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2789 +[2025-02-27 05:38:56,608 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.9974 +[2025-02-27 05:38:56,639 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3419 +[2025-02-27 05:38:56,664 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6676 +[2025-02-27 05:38:56,698 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.1833 +[2025-02-27 05:38:56,733 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1632 +[2025-02-27 05:38:56,772 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5802 +[2025-02-27 05:38:56,803 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.2801 +[2025-02-27 05:38:56,830 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9875 +[2025-02-27 05:38:56,867 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.8986 +[2025-02-27 05:38:56,899 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0889 +[2025-02-27 05:38:56,922 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9828 +[2025-02-27 05:38:56,953 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9403 +[2025-02-27 05:38:56,998 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2636 +[2025-02-27 05:38:57,051 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8534 +[2025-02-27 05:38:57,079 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4001 +[2025-02-27 05:38:57,118 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.2277 +[2025-02-27 05:38:57,155 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8877 +[2025-02-27 05:38:57,187 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1791 +[2025-02-27 05:38:57,218 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.5804 +[2025-02-27 05:38:57,270 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4158 +[2025-02-27 05:38:57,311 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.2604 +[2025-02-27 05:38:57,359 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4472 +[2025-02-27 05:38:57,405 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6206 +[2025-02-27 05:38:57,444 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0715 +[2025-02-27 05:38:57,491 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6427 +[2025-02-27 05:38:57,519 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4352 +[2025-02-27 05:38:57,570 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5144 +[2025-02-27 05:38:57,596 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7326 +[2025-02-27 05:38:59,048 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:38:59,048 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:38:59,048 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:38:59,048 INFO hook.py line 232 1688082] wall : 0.7576 0.8996 +[2025-02-27 05:38:59,048 INFO hook.py line 232 1688082] floor : 0.9421 0.9756 +[2025-02-27 05:38:59,048 INFO hook.py line 232 1688082] cabinet : 0.4591 0.5912 +[2025-02-27 05:38:59,048 INFO hook.py line 232 1688082] bed : 0.6188 0.7781 +[2025-02-27 05:38:59,048 INFO hook.py line 232 1688082] chair : 0.8029 0.9412 +[2025-02-27 05:38:59,048 INFO hook.py line 232 1688082] sofa : 0.6716 0.8161 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] table : 0.5714 0.6635 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] door : 0.4244 0.5675 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] window : 0.3929 0.4683 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] bookshelf : 0.6785 0.8093 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] picture : 0.1611 0.2999 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] counter : 0.3972 0.4468 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] desk : 0.4193 0.7994 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] curtain : 0.4818 0.5164 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] refridgerator : 0.3625 0.4066 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] shower curtain : 0.4554 0.4935 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] toilet : 0.5537 0.5562 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] sink : 0.4882 0.6091 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] bathtub : 0.7766 0.8245 +[2025-02-27 05:38:59,049 INFO hook.py line 232 1688082] otherfurniture : 0.3997 0.4979 +[2025-02-27 05:38:59,049 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:38:59,049 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5407/0.6480/0.8277. +[2025-02-27 05:38:59,050 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:38:59,074 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:38:59,074 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:39:26,804 INFO hook.py line 109 1688082] Train: [56/100][50/300] Data 0.012 (0.008) Batch 0.378 (0.412) Remain 01:32:26 loss: 0.8856 Lr: 2.73776e-03 +[2025-02-27 05:39:45,742 INFO hook.py line 109 1688082] Train: [56/100][100/300] Data 0.005 (0.008) Batch 0.406 (0.395) Remain 01:28:14 loss: 0.1202 Lr: 2.72130e-03 +[2025-02-27 05:40:04,737 INFO hook.py line 109 1688082] Train: [56/100][150/300] Data 0.004 (0.008) Batch 0.340 (0.390) Remain 01:26:45 loss: 0.3497 Lr: 2.70484e-03 +[2025-02-27 05:40:21,516 INFO hook.py line 109 1688082] Train: [56/100][200/300] Data 0.004 (0.008) Batch 0.267 (0.376) Remain 01:23:22 loss: 0.2673 Lr: 2.68839e-03 +[2025-02-27 05:40:34,255 INFO hook.py line 109 1688082] Train: [56/100][250/300] Data 0.004 (0.007) Batch 0.247 (0.352) Remain 01:17:38 loss: 0.5075 Lr: 2.67195e-03 +[2025-02-27 05:40:51,562 INFO hook.py line 109 1688082] Train: [56/100][300/300] Data 0.002 (0.006) Batch 0.241 (0.351) Remain 01:17:08 loss: 0.3125 Lr: 2.65585e-03 +[2025-02-27 05:40:51,562 INFO misc.py line 135 1688082] Train result: loss: 0.4784 +[2025-02-27 05:40:51,688 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:41:10,456 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4430 +[2025-02-27 05:41:10,511 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2545 +[2025-02-27 05:41:10,556 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7446 +[2025-02-27 05:41:10,621 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7990 +[2025-02-27 05:41:10,669 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6750 +[2025-02-27 05:41:10,726 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9713 +[2025-02-27 05:41:11,318 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9541 +[2025-02-27 05:41:11,359 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4111 +[2025-02-27 05:41:11,416 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3960 +[2025-02-27 05:41:18,589 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.6927 +[2025-02-27 05:41:20,148 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9234 +[2025-02-27 05:41:20,188 INFO hook.py line 289 1688082] Test: [12/78] Loss 0.9066 +[2025-02-27 05:41:20,736 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.6033 +[2025-02-27 05:41:20,777 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4231 +[2025-02-27 05:41:20,812 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.1908 +[2025-02-27 05:41:20,857 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.6440 +[2025-02-27 05:41:20,895 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7004 +[2025-02-27 05:41:20,925 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2458 +[2025-02-27 05:41:20,971 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3388 +[2025-02-27 05:41:21,007 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.7858 +[2025-02-27 05:41:21,041 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3657 +[2025-02-27 05:41:21,080 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.4565 +[2025-02-27 05:41:21,109 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2541 +[2025-02-27 05:41:21,153 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.5211 +[2025-02-27 05:41:21,192 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3447 +[2025-02-27 05:41:21,230 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.2567 +[2025-02-27 05:41:21,278 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8497 +[2025-02-27 05:41:21,314 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8677 +[2025-02-27 05:41:21,342 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4213 +[2025-02-27 05:41:21,403 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7652 +[2025-02-27 05:41:21,457 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7886 +[2025-02-27 05:41:21,501 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0812 +[2025-02-27 05:41:21,552 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3075 +[2025-02-27 05:41:21,588 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3499 +[2025-02-27 05:41:21,625 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4323 +[2025-02-27 05:41:21,668 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3494 +[2025-02-27 05:41:21,709 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7129 +[2025-02-27 05:41:21,738 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4489 +[2025-02-27 05:41:21,805 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9713 +[2025-02-27 05:41:21,847 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2020 +[2025-02-27 05:41:21,887 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0531 +[2025-02-27 05:41:21,922 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2542 +[2025-02-27 05:41:21,955 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5888 +[2025-02-27 05:41:22,009 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6456 +[2025-02-27 05:41:22,042 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1791 +[2025-02-27 05:41:22,088 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8745 +[2025-02-27 05:41:22,124 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3567 +[2025-02-27 05:41:22,154 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.0474 +[2025-02-27 05:41:22,185 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.3709 +[2025-02-27 05:41:22,215 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.8901 +[2025-02-27 05:41:22,242 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.9334 +[2025-02-27 05:41:22,273 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.6491 +[2025-02-27 05:41:22,297 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3526 +[2025-02-27 05:41:22,330 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3254 +[2025-02-27 05:41:22,365 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0995 +[2025-02-27 05:41:22,410 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2942 +[2025-02-27 05:41:22,441 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1668 +[2025-02-27 05:41:22,471 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8267 +[2025-02-27 05:41:22,507 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0904 +[2025-02-27 05:41:22,539 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0082 +[2025-02-27 05:41:22,563 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9422 +[2025-02-27 05:41:22,594 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0788 +[2025-02-27 05:41:22,628 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4079 +[2025-02-27 05:41:22,681 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7674 +[2025-02-27 05:41:22,707 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3281 +[2025-02-27 05:41:22,746 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.3298 +[2025-02-27 05:41:22,782 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7514 +[2025-02-27 05:41:22,814 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.7467 +[2025-02-27 05:41:22,844 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3295 +[2025-02-27 05:41:22,897 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4034 +[2025-02-27 05:41:22,938 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3878 +[2025-02-27 05:41:22,995 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5026 +[2025-02-27 05:41:23,044 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4078 +[2025-02-27 05:41:23,083 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2061 +[2025-02-27 05:41:23,130 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6246 +[2025-02-27 05:41:23,159 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.7504 +[2025-02-27 05:41:23,210 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4456 +[2025-02-27 05:41:23,235 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7190 +[2025-02-27 05:41:24,646 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:41:24,646 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:41:24,646 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] wall : 0.7521 0.9500 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] floor : 0.9543 0.9807 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] cabinet : 0.4607 0.5491 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] bed : 0.6556 0.7050 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] chair : 0.8176 0.8917 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] sofa : 0.6521 0.8869 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] table : 0.6227 0.7855 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] door : 0.4117 0.4863 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] window : 0.3175 0.3598 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] bookshelf : 0.6629 0.8041 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] picture : 0.1164 0.1295 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] counter : 0.5035 0.6350 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] desk : 0.4555 0.5654 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] curtain : 0.4720 0.5145 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] refridgerator : 0.3091 0.3313 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] shower curtain : 0.4301 0.4699 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] toilet : 0.7026 0.9249 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] sink : 0.4683 0.5937 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] bathtub : 0.7743 0.8034 +[2025-02-27 05:41:24,647 INFO hook.py line 232 1688082] otherfurniture : 0.4000 0.5318 +[2025-02-27 05:41:24,647 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:41:24,647 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5470/0.6449/0.8339. +[2025-02-27 05:41:24,648 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:41:24,666 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:41:24,667 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:41:52,013 INFO hook.py line 109 1688082] Train: [57/100][50/300] Data 0.007 (0.008) Batch 0.286 (0.381) Remain 01:23:34 loss: 0.4362 Lr: 2.63943e-03 +[2025-02-27 05:42:10,876 INFO hook.py line 109 1688082] Train: [57/100][100/300] Data 0.003 (0.008) Batch 0.357 (0.379) Remain 01:22:47 loss: 0.4660 Lr: 2.62303e-03 +[2025-02-27 05:42:29,892 INFO hook.py line 109 1688082] Train: [57/100][150/300] Data 0.005 (0.007) Batch 0.337 (0.380) Remain 01:22:33 loss: 0.4651 Lr: 2.60663e-03 +[2025-02-27 05:42:48,068 INFO hook.py line 109 1688082] Train: [57/100][200/300] Data 0.015 (0.008) Batch 0.341 (0.376) Remain 01:21:21 loss: 0.6154 Lr: 2.59025e-03 +[2025-02-27 05:43:06,899 INFO hook.py line 109 1688082] Train: [57/100][250/300] Data 0.010 (0.008) Batch 0.277 (0.376) Remain 01:21:05 loss: 0.5994 Lr: 2.57387e-03 +[2025-02-27 05:43:20,620 INFO hook.py line 109 1688082] Train: [57/100][300/300] Data 0.003 (0.007) Batch 0.200 (0.359) Remain 01:17:07 loss: 0.2333 Lr: 2.55752e-03 +[2025-02-27 05:43:20,621 INFO misc.py line 135 1688082] Train result: loss: 0.4866 +[2025-02-27 05:43:20,713 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:43:39,493 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4366 +[2025-02-27 05:43:40,863 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.3500 +[2025-02-27 05:43:40,898 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6638 +[2025-02-27 05:43:40,952 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8370 +[2025-02-27 05:43:40,993 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8218 +[2025-02-27 05:43:41,054 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6832 +[2025-02-27 05:43:41,110 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9620 +[2025-02-27 05:43:41,148 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5897 +[2025-02-27 05:43:41,195 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3953 +[2025-02-27 05:43:41,242 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.7849 +[2025-02-27 05:43:41,305 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8981 +[2025-02-27 05:43:41,349 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1988 +[2025-02-27 05:43:41,405 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2020 +[2025-02-27 05:43:41,450 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0202 +[2025-02-27 05:43:41,490 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7475 +[2025-02-27 05:43:41,535 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.6783 +[2025-02-27 05:43:41,576 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8557 +[2025-02-27 05:43:41,612 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.8960 +[2025-02-27 05:43:41,654 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4108 +[2025-02-27 05:43:41,686 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1853 +[2025-02-27 05:43:41,720 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3483 +[2025-02-27 05:43:41,761 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.9494 +[2025-02-27 05:43:41,791 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9349 +[2025-02-27 05:43:41,842 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3658 +[2025-02-27 05:43:41,888 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2379 +[2025-02-27 05:43:41,926 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7541 +[2025-02-27 05:43:41,973 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4328 +[2025-02-27 05:43:42,005 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7822 +[2025-02-27 05:43:42,039 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3851 +[2025-02-27 05:43:42,095 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6512 +[2025-02-27 05:43:42,148 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8204 +[2025-02-27 05:43:42,186 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9323 +[2025-02-27 05:43:42,244 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3567 +[2025-02-27 05:43:42,280 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3998 +[2025-02-27 05:43:42,318 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6498 +[2025-02-27 05:43:42,359 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0318 +[2025-02-27 05:43:42,402 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6874 +[2025-02-27 05:43:42,430 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4857 +[2025-02-27 05:43:42,489 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1816 +[2025-02-27 05:43:42,532 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8780 +[2025-02-27 05:43:42,571 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1016 +[2025-02-27 05:43:42,614 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4156 +[2025-02-27 05:43:42,655 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5069 +[2025-02-27 05:43:42,712 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9004 +[2025-02-27 05:43:42,746 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.2745 +[2025-02-27 05:43:42,795 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.7680 +[2025-02-27 05:43:42,831 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2146 +[2025-02-27 05:43:42,862 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9393 +[2025-02-27 05:43:42,895 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8406 +[2025-02-27 05:43:42,925 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.4682 +[2025-02-27 05:43:42,962 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0515 +[2025-02-27 05:43:42,998 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4483 +[2025-02-27 05:43:43,026 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4397 +[2025-02-27 05:43:43,060 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2965 +[2025-02-27 05:43:43,095 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1473 +[2025-02-27 05:43:43,133 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3108 +[2025-02-27 05:43:43,165 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0239 +[2025-02-27 05:43:43,191 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9162 +[2025-02-27 05:43:43,228 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.8613 +[2025-02-27 05:43:43,260 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9807 +[2025-02-27 05:43:43,284 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9500 +[2025-02-27 05:43:43,317 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.7480 +[2025-02-27 05:43:43,351 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4150 +[2025-02-27 05:43:43,405 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8580 +[2025-02-27 05:43:43,432 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3177 +[2025-02-27 05:43:43,471 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0247 +[2025-02-27 05:43:43,508 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5046 +[2025-02-27 05:43:43,540 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3779 +[2025-02-27 05:43:43,570 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3797 +[2025-02-27 05:43:43,623 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.0408 +[2025-02-27 05:43:43,664 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.1841 +[2025-02-27 05:43:43,712 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6454 +[2025-02-27 05:43:43,758 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5336 +[2025-02-27 05:43:43,797 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1211 +[2025-02-27 05:43:43,843 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6875 +[2025-02-27 05:43:43,871 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1705 +[2025-02-27 05:43:43,922 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6502 +[2025-02-27 05:43:43,965 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6743 +[2025-02-27 05:43:45,834 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:43:45,835 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:43:45,840 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:43:45,842 INFO hook.py line 232 1688082] wall : 0.7433 0.8667 +[2025-02-27 05:43:45,842 INFO hook.py line 232 1688082] floor : 0.9518 0.9793 +[2025-02-27 05:43:45,842 INFO hook.py line 232 1688082] cabinet : 0.3961 0.4570 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] bed : 0.6187 0.7973 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] chair : 0.8143 0.9032 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] sofa : 0.6709 0.9082 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] table : 0.6066 0.7312 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] door : 0.3900 0.4715 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] window : 0.3566 0.4274 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] bookshelf : 0.5030 0.8911 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] picture : 0.1526 0.2036 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] counter : 0.4945 0.7607 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] desk : 0.4417 0.5953 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] curtain : 0.4082 0.7957 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] refridgerator : 0.3482 0.4618 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] shower curtain : 0.4447 0.5362 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] toilet : 0.6171 0.9473 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] sink : 0.4797 0.6038 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] bathtub : 0.7003 0.8626 +[2025-02-27 05:43:45,843 INFO hook.py line 232 1688082] otherfurniture : 0.3099 0.4399 +[2025-02-27 05:43:45,843 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:43:45,843 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5224/0.6820/0.8142. +[2025-02-27 05:43:45,844 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:43:45,853 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:43:45,854 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:44:06,971 INFO hook.py line 109 1688082] Train: [58/100][50/300] Data 0.003 (0.004) Batch 0.246 (0.264) Remain 00:56:32 loss: 0.1472 Lr: 2.54117e-03 +[2025-02-27 05:44:25,448 INFO hook.py line 109 1688082] Train: [58/100][100/300] Data 0.017 (0.005) Batch 0.386 (0.318) Remain 01:07:55 loss: 0.3848 Lr: 2.52484e-03 +[2025-02-27 05:44:44,089 INFO hook.py line 109 1688082] Train: [58/100][150/300] Data 0.003 (0.006) Batch 0.270 (0.337) Remain 01:11:35 loss: 0.3547 Lr: 2.50852e-03 +[2025-02-27 05:45:04,610 INFO hook.py line 109 1688082] Train: [58/100][200/300] Data 0.012 (0.006) Batch 0.500 (0.356) Remain 01:15:15 loss: 0.2210 Lr: 2.49222e-03 +[2025-02-27 05:45:24,155 INFO hook.py line 109 1688082] Train: [58/100][250/300] Data 0.007 (0.006) Batch 0.343 (0.363) Remain 01:16:28 loss: 0.4673 Lr: 2.47593e-03 +[2025-02-27 05:45:37,727 INFO hook.py line 109 1688082] Train: [58/100][300/300] Data 0.002 (0.006) Batch 0.194 (0.347) Remain 01:12:56 loss: 0.4004 Lr: 2.45966e-03 +[2025-02-27 05:45:37,727 INFO misc.py line 135 1688082] Train result: loss: 0.4649 +[2025-02-27 05:45:37,833 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:45:57,462 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4053 +[2025-02-27 05:45:57,524 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0038 +[2025-02-27 05:45:57,566 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5046 +[2025-02-27 05:45:57,616 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.4798 +[2025-02-27 05:45:57,659 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7368 +[2025-02-27 05:45:57,716 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0709 +[2025-02-27 05:45:57,771 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.6843 +[2025-02-27 05:45:57,800 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6679 +[2025-02-27 05:45:57,847 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2560 +[2025-02-27 05:45:57,887 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3132 +[2025-02-27 05:45:57,932 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9274 +[2025-02-27 05:45:58,416 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3979 +[2025-02-27 05:45:58,468 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2428 +[2025-02-27 05:45:58,512 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1448 +[2025-02-27 05:45:58,560 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.6306 +[2025-02-27 05:45:58,604 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.5218 +[2025-02-27 05:45:58,641 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9977 +[2025-02-27 05:45:58,687 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3640 +[2025-02-27 05:45:58,731 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2210 +[2025-02-27 05:45:58,767 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1913 +[2025-02-27 05:45:58,804 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3553 +[2025-02-27 05:45:58,842 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7379 +[2025-02-27 05:45:58,869 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1419 +[2025-02-27 05:45:58,910 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1015 +[2025-02-27 05:45:58,952 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0272 +[2025-02-27 05:45:58,990 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8433 +[2025-02-27 05:45:59,039 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6247 +[2025-02-27 05:45:59,085 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7492 +[2025-02-27 05:45:59,119 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4683 +[2025-02-27 05:45:59,176 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7486 +[2025-02-27 05:45:59,230 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.8696 +[2025-02-27 05:45:59,263 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0834 +[2025-02-27 05:45:59,313 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2839 +[2025-02-27 05:45:59,350 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1577 +[2025-02-27 05:45:59,392 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5452 +[2025-02-27 05:45:59,441 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1037 +[2025-02-27 05:45:59,477 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6807 +[2025-02-27 05:45:59,505 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6200 +[2025-02-27 05:45:59,576 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1581 +[2025-02-27 05:45:59,618 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8190 +[2025-02-27 05:45:59,659 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1534 +[2025-02-27 05:45:59,700 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2895 +[2025-02-27 05:45:59,747 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5976 +[2025-02-27 05:45:59,810 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9171 +[2025-02-27 05:45:59,842 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8048 +[2025-02-27 05:45:59,893 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8841 +[2025-02-27 05:45:59,930 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0317 +[2025-02-27 05:45:59,961 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8286 +[2025-02-27 05:45:59,993 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.7755 +[2025-02-27 05:46:00,023 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0712 +[2025-02-27 05:46:00,052 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2960 +[2025-02-27 05:46:00,090 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2425 +[2025-02-27 05:46:00,115 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4319 +[2025-02-27 05:46:00,149 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3357 +[2025-02-27 05:46:00,184 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1335 +[2025-02-27 05:46:00,223 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3075 +[2025-02-27 05:46:00,254 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.7962 +[2025-02-27 05:46:00,281 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9777 +[2025-02-27 05:46:00,318 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0011 +[2025-02-27 05:46:00,350 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.8668 +[2025-02-27 05:46:00,376 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9796 +[2025-02-27 05:46:00,407 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0457 +[2025-02-27 05:46:00,441 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.1732 +[2025-02-27 05:46:00,495 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.9112 +[2025-02-27 05:46:00,522 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0935 +[2025-02-27 05:46:00,560 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.6985 +[2025-02-27 05:46:00,597 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7781 +[2025-02-27 05:46:00,628 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0127 +[2025-02-27 05:46:00,656 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3181 +[2025-02-27 05:46:00,708 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2589 +[2025-02-27 05:46:00,749 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4973 +[2025-02-27 05:46:00,799 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6451 +[2025-02-27 05:46:00,845 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6310 +[2025-02-27 05:46:00,884 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1102 +[2025-02-27 05:46:00,930 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8248 +[2025-02-27 05:46:00,959 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3566 +[2025-02-27 05:46:01,010 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4540 +[2025-02-27 05:46:01,036 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.9735 +[2025-02-27 05:46:02,500 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:46:02,501 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:46:02,501 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] wall : 0.7608 0.9022 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] floor : 0.9490 0.9794 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] cabinet : 0.4580 0.6298 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] bed : 0.6404 0.7935 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] chair : 0.8018 0.8669 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] sofa : 0.7151 0.8918 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] table : 0.6079 0.6930 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] door : 0.4664 0.6017 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] window : 0.4091 0.5695 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] bookshelf : 0.6615 0.7486 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] picture : 0.1528 0.2260 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] counter : 0.4067 0.5067 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] desk : 0.4463 0.7290 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] curtain : 0.5529 0.6930 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] refridgerator : 0.3305 0.5010 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] shower curtain : 0.3985 0.4572 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] toilet : 0.7881 0.9081 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] sink : 0.4712 0.5995 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] bathtub : 0.7501 0.8240 +[2025-02-27 05:46:02,501 INFO hook.py line 232 1688082] otherfurniture : 0.3625 0.4457 +[2025-02-27 05:46:02,501 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:46:02,501 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5565/0.6783/0.8321. +[2025-02-27 05:46:02,502 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:46:02,521 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:46:02,521 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:46:29,688 INFO hook.py line 109 1688082] Train: [59/100][50/300] Data 0.011 (0.007) Batch 0.511 (0.380) Remain 01:19:25 loss: 0.5419 Lr: 2.44341e-03 +[2025-02-27 05:46:48,384 INFO hook.py line 109 1688082] Train: [59/100][100/300] Data 0.008 (0.008) Batch 0.360 (0.377) Remain 01:18:29 loss: 0.4005 Lr: 2.42717e-03 +[2025-02-27 05:47:07,056 INFO hook.py line 109 1688082] Train: [59/100][150/300] Data 0.008 (0.008) Batch 0.413 (0.376) Remain 01:17:56 loss: 0.4417 Lr: 2.41095e-03 +[2025-02-27 05:47:25,129 INFO hook.py line 109 1688082] Train: [59/100][200/300] Data 0.006 (0.008) Batch 0.305 (0.372) Remain 01:16:52 loss: 0.2807 Lr: 2.39475e-03 +[2025-02-27 05:47:43,569 INFO hook.py line 109 1688082] Train: [59/100][250/300] Data 0.014 (0.008) Batch 0.415 (0.371) Remain 01:16:26 loss: 0.5821 Lr: 2.37857e-03 +[2025-02-27 05:47:56,994 INFO hook.py line 109 1688082] Train: [59/100][300/300] Data 0.001 (0.007) Batch 0.184 (0.354) Remain 01:12:34 loss: 0.8574 Lr: 2.36240e-03 +[2025-02-27 05:47:56,995 INFO misc.py line 135 1688082] Train result: loss: 0.4722 +[2025-02-27 05:47:57,085 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:48:10,898 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.2947 +[2025-02-27 05:48:11,015 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9141 +[2025-02-27 05:48:11,437 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5794 +[2025-02-27 05:48:11,486 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5990 +[2025-02-27 05:48:11,528 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7614 +[2025-02-27 05:48:11,590 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8368 +[2025-02-27 05:48:11,657 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8519 +[2025-02-27 05:48:11,702 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5602 +[2025-02-27 05:48:11,753 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3926 +[2025-02-27 05:48:11,802 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.9122 +[2025-02-27 05:48:11,853 INFO hook.py line 289 1688082] Test: [11/78] Loss 1.0179 +[2025-02-27 05:48:12,068 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3812 +[2025-02-27 05:48:12,121 INFO hook.py line 289 1688082] Test: [13/78] Loss 3.0301 +[2025-02-27 05:48:12,227 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1631 +[2025-02-27 05:48:12,268 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.4508 +[2025-02-27 05:48:12,313 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.2264 +[2025-02-27 05:48:12,357 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.1834 +[2025-02-27 05:48:12,398 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3011 +[2025-02-27 05:48:12,448 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4071 +[2025-02-27 05:48:12,484 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9703 +[2025-02-27 05:48:12,524 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3830 +[2025-02-27 05:48:12,570 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.9381 +[2025-02-27 05:48:12,606 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0665 +[2025-02-27 05:48:12,646 INFO hook.py line 289 1688082] Test: [24/78] Loss 0.9706 +[2025-02-27 05:48:12,694 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1320 +[2025-02-27 05:48:12,739 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7845 +[2025-02-27 05:48:12,791 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.1212 +[2025-02-27 05:48:12,829 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7509 +[2025-02-27 05:48:12,866 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4633 +[2025-02-27 05:48:12,930 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6525 +[2025-02-27 05:48:12,988 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5675 +[2025-02-27 05:48:13,031 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9274 +[2025-02-27 05:48:13,090 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2758 +[2025-02-27 05:48:13,133 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3614 +[2025-02-27 05:48:13,176 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5430 +[2025-02-27 05:48:13,224 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1108 +[2025-02-27 05:48:13,267 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6790 +[2025-02-27 05:48:13,304 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5366 +[2025-02-27 05:48:13,368 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1946 +[2025-02-27 05:48:13,421 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9510 +[2025-02-27 05:48:13,469 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.0108 +[2025-02-27 05:48:13,505 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3751 +[2025-02-27 05:48:13,547 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.3842 +[2025-02-27 05:48:13,604 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8687 +[2025-02-27 05:48:13,641 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.6790 +[2025-02-27 05:48:13,693 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8425 +[2025-02-27 05:48:13,736 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.6318 +[2025-02-27 05:48:13,775 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7267 +[2025-02-27 05:48:13,814 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8684 +[2025-02-27 05:48:13,853 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3159 +[2025-02-27 05:48:13,890 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2520 +[2025-02-27 05:48:13,932 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4741 +[2025-02-27 05:48:13,966 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.6334 +[2025-02-27 05:48:14,008 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.0241 +[2025-02-27 05:48:14,051 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1563 +[2025-02-27 05:48:14,098 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3156 +[2025-02-27 05:48:14,138 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1907 +[2025-02-27 05:48:14,173 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8786 +[2025-02-27 05:48:14,217 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2655 +[2025-02-27 05:48:14,258 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0816 +[2025-02-27 05:48:14,292 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0259 +[2025-02-27 05:48:14,331 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0478 +[2025-02-27 05:48:14,374 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6138 +[2025-02-27 05:48:14,436 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.4700 +[2025-02-27 05:48:14,471 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1480 +[2025-02-27 05:48:14,517 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8424 +[2025-02-27 05:48:14,562 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6669 +[2025-02-27 05:48:14,602 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1995 +[2025-02-27 05:48:14,639 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3019 +[2025-02-27 05:48:14,699 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4439 +[2025-02-27 05:48:14,748 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5591 +[2025-02-27 05:48:14,803 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5318 +[2025-02-27 05:48:14,858 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5357 +[2025-02-27 05:48:14,904 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.8439 +[2025-02-27 05:48:14,957 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7667 +[2025-02-27 05:48:14,993 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0241 +[2025-02-27 05:48:15,055 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4711 +[2025-02-27 05:48:15,090 INFO hook.py line 289 1688082] Test: [78/78] Loss 1.2360 +[2025-02-27 05:48:16,596 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:48:16,596 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:48:16,596 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] wall : 0.7452 0.8826 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] floor : 0.9495 0.9798 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] cabinet : 0.4269 0.5563 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] bed : 0.6573 0.7275 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] chair : 0.7790 0.8283 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] sofa : 0.6248 0.9256 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] table : 0.5869 0.6942 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] door : 0.4230 0.5405 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] window : 0.3852 0.5840 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] bookshelf : 0.5977 0.7701 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] picture : 0.1061 0.3092 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] counter : 0.4965 0.6629 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] desk : 0.4264 0.6990 +[2025-02-27 05:48:16,596 INFO hook.py line 232 1688082] curtain : 0.5575 0.6864 +[2025-02-27 05:48:16,597 INFO hook.py line 232 1688082] refridgerator : 0.3232 0.4681 +[2025-02-27 05:48:16,597 INFO hook.py line 232 1688082] shower curtain : 0.4231 0.4626 +[2025-02-27 05:48:16,597 INFO hook.py line 232 1688082] toilet : 0.8343 0.9266 +[2025-02-27 05:48:16,597 INFO hook.py line 232 1688082] sink : 0.4067 0.4393 +[2025-02-27 05:48:16,597 INFO hook.py line 232 1688082] bathtub : 0.7904 0.8494 +[2025-02-27 05:48:16,597 INFO hook.py line 232 1688082] otherfurniture : 0.3746 0.4537 +[2025-02-27 05:48:16,597 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:48:16,597 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5457/0.6723/0.8184. +[2025-02-27 05:48:16,597 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:48:16,616 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:48:16,616 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:48:40,880 INFO hook.py line 109 1688082] Train: [60/100][50/300] Data 0.002 (0.006) Batch 0.235 (0.329) Remain 01:07:12 loss: 0.6054 Lr: 2.34626e-03 +[2025-02-27 05:48:56,624 INFO hook.py line 109 1688082] Train: [60/100][100/300] Data 0.011 (0.006) Batch 0.456 (0.322) Remain 01:05:24 loss: 0.7145 Lr: 2.33013e-03 +[2025-02-27 05:49:18,495 INFO hook.py line 109 1688082] Train: [60/100][150/300] Data 0.016 (0.007) Batch 0.402 (0.361) Remain 01:13:07 loss: 0.5722 Lr: 2.31403e-03 +[2025-02-27 05:49:37,200 INFO hook.py line 109 1688082] Train: [60/100][200/300] Data 0.004 (0.007) Batch 0.340 (0.364) Remain 01:13:29 loss: 0.4839 Lr: 2.29794e-03 +[2025-02-27 05:49:56,108 INFO hook.py line 109 1688082] Train: [60/100][250/300] Data 0.011 (0.007) Batch 0.413 (0.367) Remain 01:13:44 loss: 0.4756 Lr: 2.28188e-03 +[2025-02-27 05:50:09,468 INFO hook.py line 109 1688082] Train: [60/100][300/300] Data 0.001 (0.007) Batch 0.201 (0.350) Remain 01:10:04 loss: 0.7314 Lr: 2.26584e-03 +[2025-02-27 05:50:09,469 INFO misc.py line 135 1688082] Train result: loss: 0.4638 +[2025-02-27 05:50:09,568 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:50:28,480 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4211 +[2025-02-27 05:50:28,524 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9232 +[2025-02-27 05:50:28,574 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5775 +[2025-02-27 05:50:28,633 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6159 +[2025-02-27 05:50:28,949 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.5909 +[2025-02-27 05:50:29,006 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7614 +[2025-02-27 05:50:29,054 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8137 +[2025-02-27 05:50:29,088 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3723 +[2025-02-27 05:50:29,136 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.0767 +[2025-02-27 05:50:29,176 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4108 +[2025-02-27 05:50:29,230 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7849 +[2025-02-27 05:50:29,278 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1626 +[2025-02-27 05:50:29,329 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.7073 +[2025-02-27 05:50:29,374 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1808 +[2025-02-27 05:50:29,619 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.6089 +[2025-02-27 05:50:29,663 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.3488 +[2025-02-27 05:50:29,698 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.2406 +[2025-02-27 05:50:29,731 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.7958 +[2025-02-27 05:50:29,771 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4035 +[2025-02-27 05:50:29,804 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9855 +[2025-02-27 05:50:29,840 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3106 +[2025-02-27 05:50:29,878 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.2393 +[2025-02-27 05:50:29,906 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9611 +[2025-02-27 05:50:29,952 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3359 +[2025-02-27 05:50:29,991 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1042 +[2025-02-27 05:50:30,030 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0020 +[2025-02-27 05:50:30,077 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.2003 +[2025-02-27 05:50:30,117 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8779 +[2025-02-27 05:50:30,151 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3154 +[2025-02-27 05:50:30,202 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.5125 +[2025-02-27 05:50:30,256 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5671 +[2025-02-27 05:50:30,300 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.2679 +[2025-02-27 05:50:30,361 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3146 +[2025-02-27 05:50:30,403 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2759 +[2025-02-27 05:50:30,438 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6472 +[2025-02-27 05:50:30,479 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4246 +[2025-02-27 05:50:30,513 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5209 +[2025-02-27 05:50:30,553 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4128 +[2025-02-27 05:50:30,614 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7345 +[2025-02-27 05:50:30,656 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1060 +[2025-02-27 05:50:30,709 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1857 +[2025-02-27 05:50:30,744 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4377 +[2025-02-27 05:50:30,784 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6890 +[2025-02-27 05:50:30,844 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7768 +[2025-02-27 05:50:30,874 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8971 +[2025-02-27 05:50:30,917 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8528 +[2025-02-27 05:50:30,954 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.7525 +[2025-02-27 05:50:30,985 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7033 +[2025-02-27 05:50:31,016 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2322 +[2025-02-27 05:50:31,046 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0898 +[2025-02-27 05:50:31,074 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.8591 +[2025-02-27 05:50:31,107 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2635 +[2025-02-27 05:50:31,132 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5206 +[2025-02-27 05:50:31,165 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4465 +[2025-02-27 05:50:31,201 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1158 +[2025-02-27 05:50:31,239 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.5045 +[2025-02-27 05:50:31,271 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.7988 +[2025-02-27 05:50:31,297 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9023 +[2025-02-27 05:50:31,334 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2060 +[2025-02-27 05:50:31,365 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0373 +[2025-02-27 05:50:31,389 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2584 +[2025-02-27 05:50:31,421 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8496 +[2025-02-27 05:50:31,456 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3295 +[2025-02-27 05:50:31,510 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7908 +[2025-02-27 05:50:31,538 INFO hook.py line 289 1688082] Test: [65/78] Loss 0.9974 +[2025-02-27 05:50:31,576 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8946 +[2025-02-27 05:50:31,612 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7955 +[2025-02-27 05:50:31,644 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0305 +[2025-02-27 05:50:31,673 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3559 +[2025-02-27 05:50:31,726 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3953 +[2025-02-27 05:50:31,767 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5103 +[2025-02-27 05:50:31,816 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4214 +[2025-02-27 05:50:31,863 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5422 +[2025-02-27 05:50:31,902 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.9862 +[2025-02-27 05:50:31,948 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6122 +[2025-02-27 05:50:31,983 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1999 +[2025-02-27 05:50:32,034 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8087 +[2025-02-27 05:50:32,059 INFO hook.py line 289 1688082] Test: [78/78] Loss 1.0461 +[2025-02-27 05:50:33,462 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:50:33,462 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:50:33,462 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] wall : 0.7586 0.8721 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] floor : 0.9466 0.9842 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] cabinet : 0.4522 0.6096 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] bed : 0.5984 0.8332 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] chair : 0.8068 0.8507 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] sofa : 0.6492 0.8345 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] table : 0.6322 0.7890 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] door : 0.4268 0.6543 +[2025-02-27 05:50:33,463 INFO hook.py line 232 1688082] window : 0.3992 0.5045 +[2025-02-27 05:50:33,464 INFO hook.py line 232 1688082] bookshelf : 0.6318 0.8289 +[2025-02-27 05:50:33,464 INFO hook.py line 232 1688082] picture : 0.1247 0.1510 +[2025-02-27 05:50:33,464 INFO hook.py line 232 1688082] counter : 0.4657 0.6299 +[2025-02-27 05:50:33,464 INFO hook.py line 232 1688082] desk : 0.4396 0.5224 +[2025-02-27 05:50:33,464 INFO hook.py line 232 1688082] curtain : 0.4649 0.8062 +[2025-02-27 05:50:33,465 INFO hook.py line 232 1688082] refridgerator : 0.2956 0.3139 +[2025-02-27 05:50:33,465 INFO hook.py line 232 1688082] shower curtain : 0.4081 0.5833 +[2025-02-27 05:50:33,465 INFO hook.py line 232 1688082] toilet : 0.8202 0.9248 +[2025-02-27 05:50:33,465 INFO hook.py line 232 1688082] sink : 0.5274 0.6421 +[2025-02-27 05:50:33,466 INFO hook.py line 232 1688082] bathtub : 0.6124 0.8806 +[2025-02-27 05:50:33,466 INFO hook.py line 232 1688082] otherfurniture : 0.3686 0.4442 +[2025-02-27 05:50:33,466 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:50:33,466 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5414/0.6830/0.8264. +[2025-02-27 05:50:33,467 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:50:33,488 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:50:33,488 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:51:00,821 INFO hook.py line 109 1688082] Train: [61/100][50/300] Data 0.003 (0.008) Batch 0.406 (0.390) Remain 01:17:46 loss: 0.2446 Lr: 2.24982e-03 +[2025-02-27 05:51:19,159 INFO hook.py line 109 1688082] Train: [61/100][100/300] Data 0.009 (0.008) Batch 0.335 (0.378) Remain 01:15:01 loss: 0.8246 Lr: 2.23383e-03 +[2025-02-27 05:51:37,781 INFO hook.py line 109 1688082] Train: [61/100][150/300] Data 0.008 (0.008) Batch 0.458 (0.376) Remain 01:14:18 loss: 0.8492 Lr: 2.21785e-03 +[2025-02-27 05:51:55,973 INFO hook.py line 109 1688082] Train: [61/100][200/300] Data 0.009 (0.007) Batch 0.316 (0.373) Remain 01:13:22 loss: 0.5365 Lr: 2.20191e-03 +[2025-02-27 05:52:08,835 INFO hook.py line 109 1688082] Train: [61/100][250/300] Data 0.003 (0.007) Batch 0.243 (0.350) Remain 01:08:28 loss: 0.2539 Lr: 2.18598e-03 +[2025-02-27 05:52:23,100 INFO hook.py line 109 1688082] Train: [61/100][300/300] Data 0.005 (0.006) Batch 0.261 (0.339) Remain 01:06:04 loss: 0.1544 Lr: 2.17008e-03 +[2025-02-27 05:52:23,101 INFO misc.py line 135 1688082] Train result: loss: 0.4309 +[2025-02-27 05:52:23,234 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:52:52,179 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3758 +[2025-02-27 05:52:52,226 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8455 +[2025-02-27 05:52:52,264 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6005 +[2025-02-27 05:52:52,313 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7149 +[2025-02-27 05:52:52,356 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8325 +[2025-02-27 05:52:52,414 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.2046 +[2025-02-27 05:52:52,465 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7953 +[2025-02-27 05:52:52,504 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6707 +[2025-02-27 05:52:52,545 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2995 +[2025-02-27 05:52:52,581 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.8901 +[2025-02-27 05:52:52,629 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7893 +[2025-02-27 05:52:52,663 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2990 +[2025-02-27 05:52:59,159 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4089 +[2025-02-27 05:52:59,210 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.0231 +[2025-02-27 05:52:59,246 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0019 +[2025-02-27 05:52:59,287 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.0940 +[2025-02-27 05:52:59,324 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8453 +[2025-02-27 05:52:59,358 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9347 +[2025-02-27 05:52:59,398 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2985 +[2025-02-27 05:52:59,439 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0291 +[2025-02-27 05:52:59,473 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.2865 +[2025-02-27 05:52:59,514 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5804 +[2025-02-27 05:52:59,540 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1956 +[2025-02-27 05:52:59,584 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1924 +[2025-02-27 05:52:59,623 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3128 +[2025-02-27 05:52:59,662 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.2269 +[2025-02-27 05:52:59,709 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4087 +[2025-02-27 05:52:59,746 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.9099 +[2025-02-27 05:52:59,781 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3496 +[2025-02-27 05:52:59,833 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6870 +[2025-02-27 05:52:59,891 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7034 +[2025-02-27 05:52:59,938 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8929 +[2025-02-27 05:52:59,990 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2550 +[2025-02-27 05:53:00,033 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.1891 +[2025-02-27 05:53:00,068 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4547 +[2025-02-27 05:53:00,115 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3186 +[2025-02-27 05:53:00,157 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5873 +[2025-02-27 05:53:00,185 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4237 +[2025-02-27 05:53:00,242 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8115 +[2025-02-27 05:53:00,284 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9023 +[2025-02-27 05:53:00,325 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1613 +[2025-02-27 05:53:00,351 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2730 +[2025-02-27 05:53:00,386 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5363 +[2025-02-27 05:53:00,439 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8435 +[2025-02-27 05:53:00,469 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8425 +[2025-02-27 05:53:00,511 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9646 +[2025-02-27 05:53:00,549 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.8576 +[2025-02-27 05:53:00,580 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8602 +[2025-02-27 05:53:00,611 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0384 +[2025-02-27 05:53:00,642 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0484 +[2025-02-27 05:53:00,674 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2728 +[2025-02-27 05:53:00,705 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3701 +[2025-02-27 05:53:00,730 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3298 +[2025-02-27 05:53:00,762 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3510 +[2025-02-27 05:53:00,797 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0719 +[2025-02-27 05:53:00,835 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2858 +[2025-02-27 05:53:00,866 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.7783 +[2025-02-27 05:53:00,892 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1115 +[2025-02-27 05:53:00,929 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1141 +[2025-02-27 05:53:00,959 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9107 +[2025-02-27 05:53:00,983 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9553 +[2025-02-27 05:53:01,014 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0625 +[2025-02-27 05:53:01,049 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2077 +[2025-02-27 05:53:01,103 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8317 +[2025-02-27 05:53:01,131 INFO hook.py line 289 1688082] Test: [65/78] Loss 0.9493 +[2025-02-27 05:53:01,168 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8167 +[2025-02-27 05:53:01,206 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6386 +[2025-02-27 05:53:01,238 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9496 +[2025-02-27 05:53:01,267 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4057 +[2025-02-27 05:53:01,317 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3889 +[2025-02-27 05:53:01,358 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4276 +[2025-02-27 05:53:01,409 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5666 +[2025-02-27 05:53:01,457 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5492 +[2025-02-27 05:53:01,496 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1906 +[2025-02-27 05:53:01,541 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6645 +[2025-02-27 05:53:01,569 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3982 +[2025-02-27 05:53:01,621 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4248 +[2025-02-27 05:53:01,647 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7560 +[2025-02-27 05:53:03,056 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:53:03,056 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:53:03,056 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] wall : 0.7656 0.9109 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] floor : 0.9498 0.9825 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] cabinet : 0.4513 0.6187 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] bed : 0.6664 0.7610 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] chair : 0.8240 0.9277 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] sofa : 0.7332 0.8471 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] table : 0.6243 0.7183 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] door : 0.4439 0.6341 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] window : 0.3623 0.4410 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] bookshelf : 0.6375 0.7676 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] picture : 0.1354 0.1536 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] counter : 0.4352 0.6207 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] desk : 0.4597 0.6824 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] curtain : 0.5835 0.6809 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] refridgerator : 0.2945 0.3169 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] shower curtain : 0.4151 0.4712 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] toilet : 0.7891 0.9191 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] sink : 0.4962 0.6156 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] bathtub : 0.6831 0.8413 +[2025-02-27 05:53:03,056 INFO hook.py line 232 1688082] otherfurniture : 0.3953 0.4788 +[2025-02-27 05:53:03,056 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:53:03,056 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5573/0.6695/0.8368. +[2025-02-27 05:53:03,057 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:53:03,074 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5603 +[2025-02-27 05:53:03,075 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:53:30,573 INFO hook.py line 109 1688082] Train: [62/100][50/300] Data 0.012 (0.009) Batch 0.415 (0.400) Remain 01:17:44 loss: 0.3252 Lr: 2.15421e-03 +[2025-02-27 05:53:49,293 INFO hook.py line 109 1688082] Train: [62/100][100/300] Data 0.004 (0.008) Batch 0.393 (0.387) Remain 01:14:49 loss: 0.4698 Lr: 2.13836e-03 +[2025-02-27 05:54:07,740 INFO hook.py line 109 1688082] Train: [62/100][150/300] Data 0.003 (0.008) Batch 0.283 (0.381) Remain 01:13:19 loss: 0.5248 Lr: 2.12253e-03 +[2025-02-27 05:54:25,814 INFO hook.py line 109 1688082] Train: [62/100][200/300] Data 0.013 (0.008) Batch 0.329 (0.376) Remain 01:12:03 loss: 0.7972 Lr: 2.10674e-03 +[2025-02-27 05:54:44,869 INFO hook.py line 109 1688082] Train: [62/100][250/300] Data 0.014 (0.008) Batch 0.342 (0.377) Remain 01:11:56 loss: 0.5806 Lr: 2.09097e-03 +[2025-02-27 05:54:58,906 INFO hook.py line 109 1688082] Train: [62/100][300/300] Data 0.001 (0.007) Batch 0.206 (0.361) Remain 01:08:33 loss: 0.4198 Lr: 2.07523e-03 +[2025-02-27 05:54:58,907 INFO misc.py line 135 1688082] Train result: loss: 0.4335 +[2025-02-27 05:54:59,003 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:55:18,125 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4224 +[2025-02-27 05:55:18,173 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.6940 +[2025-02-27 05:55:18,220 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.4292 +[2025-02-27 05:55:18,621 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6179 +[2025-02-27 05:55:18,661 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8891 +[2025-02-27 05:55:18,722 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.4821 +[2025-02-27 05:55:18,771 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.6195 +[2025-02-27 05:55:18,814 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.7227 +[2025-02-27 05:55:18,866 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.5009 +[2025-02-27 05:55:18,921 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5450 +[2025-02-27 05:55:18,979 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8973 +[2025-02-27 05:55:19,017 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2052 +[2025-02-27 05:55:19,064 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.1332 +[2025-02-27 05:55:19,112 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3339 +[2025-02-27 05:55:19,148 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7529 +[2025-02-27 05:55:19,202 INFO hook.py line 289 1688082] Test: [16/78] Loss 1.2599 +[2025-02-27 05:55:19,245 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.2879 +[2025-02-27 05:55:19,286 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9692 +[2025-02-27 05:55:19,333 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5025 +[2025-02-27 05:55:19,366 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2469 +[2025-02-27 05:55:19,400 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3207 +[2025-02-27 05:55:19,449 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7697 +[2025-02-27 05:55:19,483 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9151 +[2025-02-27 05:55:19,528 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1928 +[2025-02-27 05:55:19,577 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3289 +[2025-02-27 05:55:19,625 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0423 +[2025-02-27 05:55:19,674 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.0547 +[2025-02-27 05:55:19,720 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7967 +[2025-02-27 05:55:19,752 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3858 +[2025-02-27 05:55:19,806 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6182 +[2025-02-27 05:55:19,861 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6643 +[2025-02-27 05:55:19,895 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0469 +[2025-02-27 05:55:19,945 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1868 +[2025-02-27 05:55:19,982 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2104 +[2025-02-27 05:55:20,024 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5797 +[2025-02-27 05:55:20,068 INFO hook.py line 289 1688082] Test: [36/78] Loss 0.8327 +[2025-02-27 05:55:20,112 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.4875 +[2025-02-27 05:55:20,145 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3785 +[2025-02-27 05:55:20,201 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8087 +[2025-02-27 05:55:20,249 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2910 +[2025-02-27 05:55:20,290 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2684 +[2025-02-27 05:55:20,318 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2941 +[2025-02-27 05:55:20,351 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7135 +[2025-02-27 05:55:20,406 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7535 +[2025-02-27 05:55:20,439 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8567 +[2025-02-27 05:55:20,484 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0929 +[2025-02-27 05:55:20,521 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.5146 +[2025-02-27 05:55:20,552 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7468 +[2025-02-27 05:55:20,582 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0707 +[2025-02-27 05:55:20,613 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2027 +[2025-02-27 05:55:20,640 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.6870 +[2025-02-27 05:55:20,678 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.1899 +[2025-02-27 05:55:20,703 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3824 +[2025-02-27 05:55:20,736 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.0742 +[2025-02-27 05:55:20,771 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.4085 +[2025-02-27 05:55:20,810 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2917 +[2025-02-27 05:55:20,841 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0431 +[2025-02-27 05:55:20,867 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.7972 +[2025-02-27 05:55:20,903 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.3658 +[2025-02-27 05:55:20,934 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.6695 +[2025-02-27 05:55:20,957 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1324 +[2025-02-27 05:55:20,988 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9089 +[2025-02-27 05:55:21,022 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6520 +[2025-02-27 05:55:21,076 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8225 +[2025-02-27 05:55:21,104 INFO hook.py line 289 1688082] Test: [65/78] Loss 0.9526 +[2025-02-27 05:55:21,142 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.6931 +[2025-02-27 05:55:21,185 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6806 +[2025-02-27 05:55:21,223 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8724 +[2025-02-27 05:55:21,254 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.2929 +[2025-02-27 05:55:21,306 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5811 +[2025-02-27 05:55:21,346 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5101 +[2025-02-27 05:55:21,394 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5098 +[2025-02-27 05:55:21,440 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5122 +[2025-02-27 05:55:21,478 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.9303 +[2025-02-27 05:55:21,524 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7929 +[2025-02-27 05:55:21,552 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2118 +[2025-02-27 05:55:21,603 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6794 +[2025-02-27 05:55:21,630 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8325 +[2025-02-27 05:55:23,057 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:55:23,057 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:55:23,057 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:55:23,057 INFO hook.py line 232 1688082] wall : 0.7694 0.8876 +[2025-02-27 05:55:23,057 INFO hook.py line 232 1688082] floor : 0.9506 0.9815 +[2025-02-27 05:55:23,057 INFO hook.py line 232 1688082] cabinet : 0.4392 0.6901 +[2025-02-27 05:55:23,057 INFO hook.py line 232 1688082] bed : 0.6677 0.8010 +[2025-02-27 05:55:23,057 INFO hook.py line 232 1688082] chair : 0.8251 0.8902 +[2025-02-27 05:55:23,057 INFO hook.py line 232 1688082] sofa : 0.6556 0.9159 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] table : 0.5608 0.6211 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] door : 0.4554 0.6382 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] window : 0.4210 0.5537 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] bookshelf : 0.6164 0.7109 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] picture : 0.1668 0.2468 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] counter : 0.4096 0.5000 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] desk : 0.4924 0.7143 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] curtain : 0.5635 0.7121 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] refridgerator : 0.3561 0.4108 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] shower curtain : 0.4970 0.6027 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] toilet : 0.8665 0.8993 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] sink : 0.5026 0.6333 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] bathtub : 0.7750 0.8531 +[2025-02-27 05:55:23,058 INFO hook.py line 232 1688082] otherfurniture : 0.3963 0.5100 +[2025-02-27 05:55:23,058 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:55:23,058 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5694/0.6886/0.8333. +[2025-02-27 05:55:23,059 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:55:23,076 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5694 +[2025-02-27 05:55:23,077 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5694 +[2025-02-27 05:55:23,077 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:55:44,395 INFO hook.py line 109 1688082] Train: [63/100][50/300] Data 0.004 (0.004) Batch 0.256 (0.255) Remain 00:48:09 loss: 0.3217 Lr: 2.05952e-03 +[2025-02-27 05:56:02,096 INFO hook.py line 109 1688082] Train: [63/100][100/300] Data 0.009 (0.005) Batch 0.366 (0.306) Remain 00:57:35 loss: 0.3253 Lr: 2.04383e-03 +[2025-02-27 05:56:20,982 INFO hook.py line 109 1688082] Train: [63/100][150/300] Data 0.003 (0.006) Batch 0.261 (0.330) Remain 01:01:55 loss: 0.3519 Lr: 2.02818e-03 +[2025-02-27 05:56:41,085 INFO hook.py line 109 1688082] Train: [63/100][200/300] Data 0.003 (0.006) Batch 0.457 (0.348) Remain 01:05:02 loss: 0.1320 Lr: 2.01255e-03 +[2025-02-27 05:57:00,910 INFO hook.py line 109 1688082] Train: [63/100][250/300] Data 0.006 (0.006) Batch 0.353 (0.358) Remain 01:06:33 loss: 0.3415 Lr: 1.99695e-03 +[2025-02-27 05:57:14,542 INFO hook.py line 109 1688082] Train: [63/100][300/300] Data 0.002 (0.006) Batch 0.196 (0.344) Remain 01:03:36 loss: 0.7993 Lr: 1.98170e-03 +[2025-02-27 05:57:14,542 INFO misc.py line 135 1688082] Train result: loss: 0.3937 +[2025-02-27 05:57:14,642 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:57:33,592 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3893 +[2025-02-27 05:57:33,811 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0286 +[2025-02-27 05:57:33,872 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6713 +[2025-02-27 05:57:33,923 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6294 +[2025-02-27 05:57:33,973 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8836 +[2025-02-27 05:57:34,034 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7970 +[2025-02-27 05:57:34,424 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9348 +[2025-02-27 05:57:34,452 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4451 +[2025-02-27 05:57:34,493 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.5558 +[2025-02-27 05:57:34,526 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3431 +[2025-02-27 05:57:34,571 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9584 +[2025-02-27 05:57:34,616 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.6046 +[2025-02-27 05:57:34,662 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2527 +[2025-02-27 05:57:34,705 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5051 +[2025-02-27 05:57:34,748 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7641 +[2025-02-27 05:57:34,792 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2931 +[2025-02-27 05:57:34,837 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.3673 +[2025-02-27 05:57:34,883 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9137 +[2025-02-27 05:57:34,932 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6490 +[2025-02-27 05:57:34,976 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4625 +[2025-02-27 05:57:35,017 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4073 +[2025-02-27 05:57:35,066 INFO hook.py line 289 1688082] Test: [22/78] Loss 2.0002 +[2025-02-27 05:57:35,102 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9382 +[2025-02-27 05:57:35,144 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3677 +[2025-02-27 05:57:35,194 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3736 +[2025-02-27 05:57:35,241 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9362 +[2025-02-27 05:57:35,290 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4038 +[2025-02-27 05:57:35,323 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7202 +[2025-02-27 05:57:35,361 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5228 +[2025-02-27 05:57:35,421 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8471 +[2025-02-27 05:57:35,482 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6376 +[2025-02-27 05:57:35,516 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9397 +[2025-02-27 05:57:35,567 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2927 +[2025-02-27 05:57:35,606 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.5010 +[2025-02-27 05:57:35,644 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5403 +[2025-02-27 05:57:35,683 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1491 +[2025-02-27 05:57:35,719 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7187 +[2025-02-27 05:57:35,749 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.6196 +[2025-02-27 05:57:35,805 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.1913 +[2025-02-27 05:57:35,847 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.3355 +[2025-02-27 05:57:35,889 INFO hook.py line 289 1688082] Test: [41/78] Loss 0.9806 +[2025-02-27 05:57:35,920 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.5165 +[2025-02-27 05:57:35,954 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4016 +[2025-02-27 05:57:36,015 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9390 +[2025-02-27 05:57:36,060 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9831 +[2025-02-27 05:57:36,103 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9212 +[2025-02-27 05:57:36,148 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3949 +[2025-02-27 05:57:36,184 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7761 +[2025-02-27 05:57:36,215 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.9697 +[2025-02-27 05:57:36,246 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3481 +[2025-02-27 05:57:36,275 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.6260 +[2025-02-27 05:57:36,307 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4832 +[2025-02-27 05:57:36,332 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5861 +[2025-02-27 05:57:36,366 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5895 +[2025-02-27 05:57:36,401 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1513 +[2025-02-27 05:57:36,440 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4488 +[2025-02-27 05:57:36,472 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1550 +[2025-02-27 05:57:36,499 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9294 +[2025-02-27 05:57:36,537 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1893 +[2025-02-27 05:57:36,568 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.8854 +[2025-02-27 05:57:36,592 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9243 +[2025-02-27 05:57:36,625 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8152 +[2025-02-27 05:57:36,658 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5884 +[2025-02-27 05:57:36,712 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8058 +[2025-02-27 05:57:36,740 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3175 +[2025-02-27 05:57:36,778 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9073 +[2025-02-27 05:57:36,815 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6455 +[2025-02-27 05:57:36,846 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1496 +[2025-02-27 05:57:36,875 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4214 +[2025-02-27 05:57:36,926 INFO hook.py line 289 1688082] Test: [70/78] Loss 0.9793 +[2025-02-27 05:57:36,967 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6840 +[2025-02-27 05:57:37,015 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4920 +[2025-02-27 05:57:37,061 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5549 +[2025-02-27 05:57:37,100 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2137 +[2025-02-27 05:57:37,146 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6026 +[2025-02-27 05:57:37,174 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4205 +[2025-02-27 05:57:37,226 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5663 +[2025-02-27 05:57:37,252 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8948 +[2025-02-27 05:57:38,938 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:57:38,950 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:57:38,951 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] wall : 0.7593 0.8870 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] floor : 0.9466 0.9686 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] cabinet : 0.4648 0.5875 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] bed : 0.6235 0.8149 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] chair : 0.8053 0.9187 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] sofa : 0.5970 0.9038 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] table : 0.6116 0.6666 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] door : 0.4028 0.4699 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] window : 0.3931 0.5474 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] bookshelf : 0.6292 0.8247 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] picture : 0.1507 0.1952 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] counter : 0.5267 0.6696 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] desk : 0.4770 0.6650 +[2025-02-27 05:57:38,951 INFO hook.py line 232 1688082] curtain : 0.4620 0.8219 +[2025-02-27 05:57:38,952 INFO hook.py line 232 1688082] refridgerator : 0.3177 0.4440 +[2025-02-27 05:57:38,952 INFO hook.py line 232 1688082] shower curtain : 0.4031 0.4587 +[2025-02-27 05:57:38,952 INFO hook.py line 232 1688082] toilet : 0.8398 0.8879 +[2025-02-27 05:57:38,952 INFO hook.py line 232 1688082] sink : 0.5504 0.6306 +[2025-02-27 05:57:38,952 INFO hook.py line 232 1688082] bathtub : 0.7897 0.8710 +[2025-02-27 05:57:38,952 INFO hook.py line 232 1688082] otherfurniture : 0.3746 0.5031 +[2025-02-27 05:57:38,952 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:57:38,952 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5562/0.6868/0.8267. +[2025-02-27 05:57:38,953 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:57:38,988 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5694 +[2025-02-27 05:57:38,989 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 05:58:06,279 INFO hook.py line 109 1688082] Train: [64/100][50/300] Data 0.007 (0.016) Batch 0.400 (0.420) Remain 01:17:20 loss: 0.2536 Lr: 1.96616e-03 +[2025-02-27 05:58:24,308 INFO hook.py line 109 1688082] Train: [64/100][100/300] Data 0.005 (0.012) Batch 0.343 (0.389) Remain 01:11:22 loss: 0.3600 Lr: 1.95066e-03 +[2025-02-27 05:58:43,109 INFO hook.py line 109 1688082] Train: [64/100][150/300] Data 0.003 (0.011) Batch 0.363 (0.385) Remain 01:10:13 loss: 0.2981 Lr: 1.93519e-03 +[2025-02-27 05:59:02,390 INFO hook.py line 109 1688082] Train: [64/100][200/300] Data 0.017 (0.010) Batch 0.380 (0.385) Remain 01:09:56 loss: 0.5016 Lr: 1.91975e-03 +[2025-02-27 05:59:21,248 INFO hook.py line 109 1688082] Train: [64/100][250/300] Data 0.007 (0.010) Batch 0.354 (0.383) Remain 01:09:20 loss: 1.0676 Lr: 1.90434e-03 +[2025-02-27 05:59:35,077 INFO hook.py line 109 1688082] Train: [64/100][300/300] Data 0.001 (0.009) Batch 0.177 (0.365) Remain 01:05:46 loss: 0.7319 Lr: 1.88897e-03 +[2025-02-27 05:59:35,078 INFO misc.py line 135 1688082] Train result: loss: 0.4040 +[2025-02-27 05:59:35,177 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 05:59:49,144 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3708 +[2025-02-27 05:59:50,342 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.7300 +[2025-02-27 05:59:50,384 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5132 +[2025-02-27 05:59:50,439 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6704 +[2025-02-27 05:59:50,483 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.5855 +[2025-02-27 05:59:50,543 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.3330 +[2025-02-27 05:59:51,080 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7884 +[2025-02-27 05:59:51,116 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3492 +[2025-02-27 05:59:51,165 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2617 +[2025-02-27 05:59:51,205 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.6068 +[2025-02-27 05:59:51,249 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6754 +[2025-02-27 05:59:51,288 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2626 +[2025-02-27 05:59:51,345 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4205 +[2025-02-27 05:59:51,384 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5231 +[2025-02-27 05:59:51,428 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.3547 +[2025-02-27 05:59:52,620 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3223 +[2025-02-27 05:59:52,655 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8777 +[2025-02-27 05:59:52,689 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.4781 +[2025-02-27 05:59:52,738 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5855 +[2025-02-27 05:59:52,779 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1216 +[2025-02-27 05:59:52,821 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3274 +[2025-02-27 05:59:52,867 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5990 +[2025-02-27 05:59:52,908 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.3177 +[2025-02-27 05:59:52,949 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.4134 +[2025-02-27 05:59:52,997 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3216 +[2025-02-27 05:59:53,043 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9135 +[2025-02-27 05:59:53,099 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8519 +[2025-02-27 05:59:53,137 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0335 +[2025-02-27 05:59:53,178 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4048 +[2025-02-27 05:59:53,237 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7600 +[2025-02-27 05:59:53,298 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6743 +[2025-02-27 05:59:53,341 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7820 +[2025-02-27 05:59:53,401 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3292 +[2025-02-27 05:59:53,445 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3669 +[2025-02-27 05:59:53,488 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.7913 +[2025-02-27 05:59:53,532 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3350 +[2025-02-27 05:59:53,571 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7301 +[2025-02-27 05:59:53,609 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5230 +[2025-02-27 05:59:53,665 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0379 +[2025-02-27 05:59:53,718 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8637 +[2025-02-27 05:59:53,765 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2747 +[2025-02-27 05:59:53,802 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2802 +[2025-02-27 05:59:53,845 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5221 +[2025-02-27 05:59:53,904 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6786 +[2025-02-27 05:59:53,944 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1088 +[2025-02-27 05:59:53,998 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9507 +[2025-02-27 05:59:54,042 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.5554 +[2025-02-27 05:59:54,082 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8527 +[2025-02-27 05:59:54,122 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1613 +[2025-02-27 05:59:54,161 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3043 +[2025-02-27 05:59:54,197 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4632 +[2025-02-27 05:59:54,237 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5219 +[2025-02-27 05:59:54,271 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.7358 +[2025-02-27 05:59:54,314 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4909 +[2025-02-27 05:59:54,358 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2306 +[2025-02-27 05:59:54,406 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4366 +[2025-02-27 05:59:54,446 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9039 +[2025-02-27 05:59:54,481 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0321 +[2025-02-27 05:59:54,524 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1714 +[2025-02-27 05:59:54,564 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0101 +[2025-02-27 05:59:54,598 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0473 +[2025-02-27 05:59:54,632 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0275 +[2025-02-27 05:59:54,674 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5364 +[2025-02-27 05:59:54,735 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7595 +[2025-02-27 05:59:54,770 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0816 +[2025-02-27 05:59:54,818 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.6345 +[2025-02-27 05:59:54,862 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7722 +[2025-02-27 05:59:54,902 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0683 +[2025-02-27 05:59:54,940 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.2716 +[2025-02-27 05:59:55,002 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3754 +[2025-02-27 05:59:55,049 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.2748 +[2025-02-27 05:59:55,103 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4144 +[2025-02-27 05:59:55,149 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5528 +[2025-02-27 05:59:55,199 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2094 +[2025-02-27 05:59:55,254 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7766 +[2025-02-27 05:59:55,292 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4273 +[2025-02-27 05:59:55,343 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6693 +[2025-02-27 05:59:55,379 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7480 +[2025-02-27 05:59:56,947 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 05:59:56,947 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 05:59:56,947 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] wall : 0.7496 0.9136 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] floor : 0.9531 0.9776 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] cabinet : 0.4831 0.6088 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] bed : 0.6492 0.7146 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] chair : 0.8347 0.9062 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] sofa : 0.7336 0.8536 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] table : 0.6377 0.7374 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] door : 0.4476 0.6521 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] window : 0.4040 0.5759 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] bookshelf : 0.6624 0.8366 +[2025-02-27 05:59:56,947 INFO hook.py line 232 1688082] picture : 0.1296 0.1502 +[2025-02-27 05:59:56,949 INFO hook.py line 232 1688082] counter : 0.5157 0.7063 +[2025-02-27 05:59:56,950 INFO hook.py line 232 1688082] desk : 0.4399 0.6129 +[2025-02-27 05:59:56,951 INFO hook.py line 232 1688082] curtain : 0.5191 0.5668 +[2025-02-27 05:59:56,951 INFO hook.py line 232 1688082] refridgerator : 0.3472 0.3761 +[2025-02-27 05:59:56,951 INFO hook.py line 232 1688082] shower curtain : 0.5163 0.5932 +[2025-02-27 05:59:56,951 INFO hook.py line 232 1688082] toilet : 0.7870 0.8065 +[2025-02-27 05:59:56,951 INFO hook.py line 232 1688082] sink : 0.4295 0.4755 +[2025-02-27 05:59:56,951 INFO hook.py line 232 1688082] bathtub : 0.7887 0.8133 +[2025-02-27 05:59:56,951 INFO hook.py line 232 1688082] otherfurniture : 0.3705 0.4251 +[2025-02-27 05:59:56,951 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 05:59:56,951 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5699/0.6651/0.8361. +[2025-02-27 05:59:56,951 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 05:59:56,964 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5699 +[2025-02-27 05:59:56,964 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5699 +[2025-02-27 05:59:56,964 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:00:20,874 INFO hook.py line 109 1688082] Train: [65/100][50/300] Data 0.004 (0.006) Batch 0.255 (0.307) Remain 00:54:57 loss: 0.0878 Lr: 1.87363e-03 +[2025-02-27 06:00:39,599 INFO hook.py line 109 1688082] Train: [65/100][100/300] Data 0.010 (0.006) Batch 0.545 (0.342) Remain 01:00:55 loss: 0.2512 Lr: 1.85832e-03 +[2025-02-27 06:00:59,345 INFO hook.py line 109 1688082] Train: [65/100][150/300] Data 0.006 (0.008) Batch 0.369 (0.360) Remain 01:03:51 loss: 0.5878 Lr: 1.84305e-03 +[2025-02-27 06:01:18,411 INFO hook.py line 109 1688082] Train: [65/100][200/300] Data 0.007 (0.008) Batch 0.305 (0.365) Remain 01:04:31 loss: 0.4174 Lr: 1.82782e-03 +[2025-02-27 06:01:37,428 INFO hook.py line 109 1688082] Train: [65/100][250/300] Data 0.004 (0.007) Batch 0.380 (0.368) Remain 01:04:45 loss: 0.2103 Lr: 1.81262e-03 +[2025-02-27 06:01:50,704 INFO hook.py line 109 1688082] Train: [65/100][300/300] Data 0.002 (0.007) Batch 0.187 (0.351) Remain 01:01:25 loss: 0.5088 Lr: 1.79745e-03 +[2025-02-27 06:01:50,706 INFO misc.py line 135 1688082] Train result: loss: 0.4040 +[2025-02-27 06:01:50,804 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:02:10,232 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3354 +[2025-02-27 06:02:10,282 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0049 +[2025-02-27 06:02:10,328 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6623 +[2025-02-27 06:02:10,383 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6715 +[2025-02-27 06:02:10,957 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7626 +[2025-02-27 06:02:11,007 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.3933 +[2025-02-27 06:02:11,067 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8172 +[2025-02-27 06:02:11,112 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4523 +[2025-02-27 06:02:11,156 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3351 +[2025-02-27 06:02:11,383 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3768 +[2025-02-27 06:02:11,444 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9717 +[2025-02-27 06:02:11,476 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.0107 +[2025-02-27 06:02:11,522 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0768 +[2025-02-27 06:02:11,735 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.2264 +[2025-02-27 06:02:11,772 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7965 +[2025-02-27 06:02:11,814 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1814 +[2025-02-27 06:02:11,851 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8427 +[2025-02-27 06:02:11,891 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3069 +[2025-02-27 06:02:11,945 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4124 +[2025-02-27 06:02:11,983 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0284 +[2025-02-27 06:02:12,019 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.2943 +[2025-02-27 06:02:12,060 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5176 +[2025-02-27 06:02:12,090 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9541 +[2025-02-27 06:02:12,131 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3620 +[2025-02-27 06:02:12,171 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2772 +[2025-02-27 06:02:12,212 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9971 +[2025-02-27 06:02:12,272 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.2221 +[2025-02-27 06:02:12,313 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8606 +[2025-02-27 06:02:12,345 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3538 +[2025-02-27 06:02:12,406 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8343 +[2025-02-27 06:02:12,462 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6077 +[2025-02-27 06:02:12,496 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9145 +[2025-02-27 06:02:12,547 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2255 +[2025-02-27 06:02:12,583 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2586 +[2025-02-27 06:02:12,622 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4744 +[2025-02-27 06:02:12,665 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3487 +[2025-02-27 06:02:12,707 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7098 +[2025-02-27 06:02:12,745 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3845 +[2025-02-27 06:02:12,803 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8403 +[2025-02-27 06:02:12,846 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8627 +[2025-02-27 06:02:12,887 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1873 +[2025-02-27 06:02:12,928 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2251 +[2025-02-27 06:02:12,969 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.3687 +[2025-02-27 06:02:13,029 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8560 +[2025-02-27 06:02:13,061 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9391 +[2025-02-27 06:02:13,119 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8809 +[2025-02-27 06:02:13,154 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0684 +[2025-02-27 06:02:13,191 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.2737 +[2025-02-27 06:02:13,221 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0589 +[2025-02-27 06:02:13,251 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.5335 +[2025-02-27 06:02:13,279 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.9484 +[2025-02-27 06:02:13,310 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2858 +[2025-02-27 06:02:13,334 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4286 +[2025-02-27 06:02:13,366 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.6570 +[2025-02-27 06:02:13,401 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0975 +[2025-02-27 06:02:13,439 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3287 +[2025-02-27 06:02:13,469 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9969 +[2025-02-27 06:02:13,494 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9624 +[2025-02-27 06:02:13,530 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0366 +[2025-02-27 06:02:13,560 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0377 +[2025-02-27 06:02:13,583 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9582 +[2025-02-27 06:02:13,615 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8540 +[2025-02-27 06:02:13,648 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4296 +[2025-02-27 06:02:13,702 INFO hook.py line 289 1688082] Test: [64/78] Loss 2.1353 +[2025-02-27 06:02:13,727 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4784 +[2025-02-27 06:02:13,765 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.9379 +[2025-02-27 06:02:13,801 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6149 +[2025-02-27 06:02:13,832 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.2985 +[2025-02-27 06:02:13,860 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3659 +[2025-02-27 06:02:13,911 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3608 +[2025-02-27 06:02:13,952 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4639 +[2025-02-27 06:02:14,000 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5964 +[2025-02-27 06:02:14,046 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5608 +[2025-02-27 06:02:14,083 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.5168 +[2025-02-27 06:02:14,130 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7283 +[2025-02-27 06:02:14,165 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2879 +[2025-02-27 06:02:14,216 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5505 +[2025-02-27 06:02:14,241 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7237 +[2025-02-27 06:02:15,818 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:02:15,819 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:02:15,820 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:02:15,820 INFO hook.py line 232 1688082] wall : 0.7709 0.8966 +[2025-02-27 06:02:15,820 INFO hook.py line 232 1688082] floor : 0.9500 0.9811 +[2025-02-27 06:02:15,820 INFO hook.py line 232 1688082] cabinet : 0.4607 0.6665 +[2025-02-27 06:02:15,820 INFO hook.py line 232 1688082] bed : 0.6280 0.6980 +[2025-02-27 06:02:15,820 INFO hook.py line 232 1688082] chair : 0.8241 0.9277 +[2025-02-27 06:02:15,821 INFO hook.py line 232 1688082] sofa : 0.7158 0.8303 +[2025-02-27 06:02:15,821 INFO hook.py line 232 1688082] table : 0.6138 0.7761 +[2025-02-27 06:02:15,822 INFO hook.py line 232 1688082] door : 0.4702 0.6111 +[2025-02-27 06:02:15,822 INFO hook.py line 232 1688082] window : 0.3532 0.4278 +[2025-02-27 06:02:15,822 INFO hook.py line 232 1688082] bookshelf : 0.6485 0.7862 +[2025-02-27 06:02:15,822 INFO hook.py line 232 1688082] picture : 0.1536 0.2148 +[2025-02-27 06:02:15,822 INFO hook.py line 232 1688082] counter : 0.4766 0.6926 +[2025-02-27 06:02:15,822 INFO hook.py line 232 1688082] desk : 0.4501 0.5978 +[2025-02-27 06:02:15,823 INFO hook.py line 232 1688082] curtain : 0.5467 0.6552 +[2025-02-27 06:02:15,823 INFO hook.py line 232 1688082] refridgerator : 0.3342 0.4298 +[2025-02-27 06:02:15,823 INFO hook.py line 232 1688082] shower curtain : 0.4836 0.6190 +[2025-02-27 06:02:15,823 INFO hook.py line 232 1688082] toilet : 0.8429 0.9120 +[2025-02-27 06:02:15,823 INFO hook.py line 232 1688082] sink : 0.4853 0.6755 +[2025-02-27 06:02:15,823 INFO hook.py line 232 1688082] bathtub : 0.7626 0.8912 +[2025-02-27 06:02:15,823 INFO hook.py line 232 1688082] otherfurniture : 0.4215 0.5613 +[2025-02-27 06:02:15,823 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:02:15,823 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5696/0.6925/0.8374. +[2025-02-27 06:02:15,824 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:02:15,840 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5699 +[2025-02-27 06:02:15,840 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:02:43,154 INFO hook.py line 109 1688082] Train: [66/100][50/300] Data 0.005 (0.010) Batch 0.308 (0.390) Remain 01:07:59 loss: 0.2848 Lr: 1.78233e-03 +[2025-02-27 06:03:00,995 INFO hook.py line 109 1688082] Train: [66/100][100/300] Data 0.012 (0.009) Batch 0.319 (0.373) Remain 01:04:40 loss: 0.2098 Lr: 1.76724e-03 +[2025-02-27 06:03:19,440 INFO hook.py line 109 1688082] Train: [66/100][150/300] Data 0.003 (0.009) Batch 0.472 (0.372) Remain 01:04:06 loss: 0.3085 Lr: 1.75218e-03 +[2025-02-27 06:03:36,115 INFO hook.py line 109 1688082] Train: [66/100][200/300] Data 0.004 (0.008) Batch 0.266 (0.362) Remain 01:02:08 loss: 0.3171 Lr: 1.73717e-03 +[2025-02-27 06:03:49,203 INFO hook.py line 109 1688082] Train: [66/100][250/300] Data 0.007 (0.007) Batch 0.412 (0.342) Remain 00:58:22 loss: 0.4664 Lr: 1.72219e-03 +[2025-02-27 06:04:06,269 INFO hook.py line 109 1688082] Train: [66/100][300/300] Data 0.002 (0.007) Batch 0.235 (0.342) Remain 00:58:04 loss: 0.3717 Lr: 1.70725e-03 +[2025-02-27 06:04:06,270 INFO misc.py line 135 1688082] Train result: loss: 0.3694 +[2025-02-27 06:04:06,374 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:04:25,030 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3550 +[2025-02-27 06:04:25,933 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0022 +[2025-02-27 06:04:25,986 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6520 +[2025-02-27 06:04:26,038 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8645 +[2025-02-27 06:04:26,085 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.8095 +[2025-02-27 06:04:26,153 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.4011 +[2025-02-27 06:04:26,217 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8965 +[2025-02-27 06:04:26,261 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4838 +[2025-02-27 06:04:35,072 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.5118 +[2025-02-27 06:04:35,124 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5867 +[2025-02-27 06:04:35,184 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9408 +[2025-02-27 06:04:35,217 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2633 +[2025-02-27 06:04:35,361 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0150 +[2025-02-27 06:04:35,400 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4485 +[2025-02-27 06:04:35,478 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0550 +[2025-02-27 06:04:35,519 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.8106 +[2025-02-27 06:04:35,555 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8978 +[2025-02-27 06:04:35,592 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1998 +[2025-02-27 06:04:35,638 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2652 +[2025-02-27 06:04:35,669 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1637 +[2025-02-27 06:04:35,711 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3277 +[2025-02-27 06:04:35,760 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7544 +[2025-02-27 06:04:35,796 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0159 +[2025-02-27 06:04:35,838 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0208 +[2025-02-27 06:04:35,877 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.6084 +[2025-02-27 06:04:35,916 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9386 +[2025-02-27 06:04:35,963 INFO hook.py line 289 1688082] Test: [27/78] Loss 2.0152 +[2025-02-27 06:04:35,996 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8623 +[2025-02-27 06:04:36,027 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4335 +[2025-02-27 06:04:36,081 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7592 +[2025-02-27 06:04:36,136 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7528 +[2025-02-27 06:04:36,173 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9756 +[2025-02-27 06:04:36,223 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2524 +[2025-02-27 06:04:36,266 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.6155 +[2025-02-27 06:04:36,301 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4813 +[2025-02-27 06:04:36,351 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3283 +[2025-02-27 06:04:36,387 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7651 +[2025-02-27 06:04:36,417 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3882 +[2025-02-27 06:04:36,474 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.9405 +[2025-02-27 06:04:36,530 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9138 +[2025-02-27 06:04:36,571 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2530 +[2025-02-27 06:04:36,605 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2600 +[2025-02-27 06:04:36,644 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5235 +[2025-02-27 06:04:36,697 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7004 +[2025-02-27 06:04:36,741 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9348 +[2025-02-27 06:04:36,792 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.7956 +[2025-02-27 06:04:36,828 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.8079 +[2025-02-27 06:04:36,859 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.6732 +[2025-02-27 06:04:36,891 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6895 +[2025-02-27 06:04:36,921 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1133 +[2025-02-27 06:04:36,949 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.9728 +[2025-02-27 06:04:36,982 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2035 +[2025-02-27 06:04:37,007 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4516 +[2025-02-27 06:04:37,040 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3440 +[2025-02-27 06:04:37,075 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1131 +[2025-02-27 06:04:37,113 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3101 +[2025-02-27 06:04:37,145 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0910 +[2025-02-27 06:04:37,170 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8033 +[2025-02-27 06:04:37,208 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0858 +[2025-02-27 06:04:37,241 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0301 +[2025-02-27 06:04:37,265 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.1006 +[2025-02-27 06:04:37,296 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9744 +[2025-02-27 06:04:37,331 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4301 +[2025-02-27 06:04:37,385 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6907 +[2025-02-27 06:04:37,414 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1278 +[2025-02-27 06:04:37,453 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.6772 +[2025-02-27 06:04:37,490 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7540 +[2025-02-27 06:04:37,522 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0544 +[2025-02-27 06:04:37,551 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4180 +[2025-02-27 06:04:37,602 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2237 +[2025-02-27 06:04:37,643 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3985 +[2025-02-27 06:04:37,692 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4160 +[2025-02-27 06:04:37,737 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5643 +[2025-02-27 06:04:37,775 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0762 +[2025-02-27 06:04:37,821 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7177 +[2025-02-27 06:04:37,849 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3423 +[2025-02-27 06:04:37,900 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5954 +[2025-02-27 06:04:37,925 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.8335 +[2025-02-27 06:04:39,240 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:04:39,241 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:04:39,241 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] wall : 0.7695 0.8975 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] floor : 0.9509 0.9748 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] cabinet : 0.4747 0.6403 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] bed : 0.6478 0.7771 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] chair : 0.7901 0.8808 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] sofa : 0.6382 0.8837 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] table : 0.6488 0.7685 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] door : 0.4438 0.5259 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] window : 0.3939 0.4737 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] bookshelf : 0.6324 0.8657 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] picture : 0.1948 0.3067 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] counter : 0.4372 0.7618 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] desk : 0.4378 0.6954 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] curtain : 0.5591 0.6796 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] refridgerator : 0.4164 0.5298 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] shower curtain : 0.5135 0.5848 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] toilet : 0.7423 0.9227 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] sink : 0.4692 0.6155 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] bathtub : 0.5434 0.9386 +[2025-02-27 06:04:39,241 INFO hook.py line 232 1688082] otherfurniture : 0.3969 0.4912 +[2025-02-27 06:04:39,241 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:04:39,242 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5550/0.7107/0.8347. +[2025-02-27 06:04:39,242 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:04:39,258 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5699 +[2025-02-27 06:04:39,258 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:05:06,930 INFO hook.py line 109 1688082] Train: [67/100][50/300] Data 0.017 (0.009) Batch 0.260 (0.379) Remain 01:04:04 loss: 0.8581 Lr: 1.69236e-03 +[2025-02-27 06:05:25,442 INFO hook.py line 109 1688082] Train: [67/100][100/300] Data 0.005 (0.008) Batch 0.335 (0.374) Remain 01:03:00 loss: 0.5994 Lr: 1.67750e-03 +[2025-02-27 06:05:44,700 INFO hook.py line 109 1688082] Train: [67/100][150/300] Data 0.004 (0.008) Batch 0.386 (0.378) Remain 01:03:19 loss: 0.3495 Lr: 1.66268e-03 +[2025-02-27 06:06:03,939 INFO hook.py line 109 1688082] Train: [67/100][200/300] Data 0.007 (0.009) Batch 0.342 (0.380) Remain 01:03:16 loss: 0.6499 Lr: 1.64790e-03 +[2025-02-27 06:06:21,529 INFO hook.py line 109 1688082] Train: [67/100][250/300] Data 0.009 (0.008) Batch 0.365 (0.374) Remain 01:02:02 loss: 0.5743 Lr: 1.63316e-03 +[2025-02-27 06:06:35,269 INFO hook.py line 109 1688082] Train: [67/100][300/300] Data 0.001 (0.008) Batch 0.191 (0.357) Remain 00:58:57 loss: 0.3187 Lr: 1.61847e-03 +[2025-02-27 06:06:35,270 INFO misc.py line 135 1688082] Train result: loss: 0.3768 +[2025-02-27 06:06:35,380 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:06:55,712 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3510 +[2025-02-27 06:06:55,761 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8400 +[2025-02-27 06:06:55,802 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5073 +[2025-02-27 06:06:55,848 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7805 +[2025-02-27 06:06:55,884 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.5846 +[2025-02-27 06:06:55,949 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9439 +[2025-02-27 06:06:56,005 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7872 +[2025-02-27 06:06:56,039 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4848 +[2025-02-27 06:06:56,082 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1835 +[2025-02-27 06:06:56,117 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.2091 +[2025-02-27 06:06:56,161 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7822 +[2025-02-27 06:06:56,200 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1206 +[2025-02-27 06:06:56,247 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9852 +[2025-02-27 06:06:56,285 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4977 +[2025-02-27 06:06:56,321 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8607 +[2025-02-27 06:06:56,366 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2734 +[2025-02-27 06:06:56,403 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.6813 +[2025-02-27 06:06:56,434 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1157 +[2025-02-27 06:06:56,473 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2208 +[2025-02-27 06:06:56,504 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9554 +[2025-02-27 06:06:56,541 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3811 +[2025-02-27 06:06:56,579 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6642 +[2025-02-27 06:06:56,605 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0791 +[2025-02-27 06:06:56,646 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3524 +[2025-02-27 06:06:56,685 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0469 +[2025-02-27 06:06:56,728 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.7737 +[2025-02-27 06:06:56,776 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3182 +[2025-02-27 06:06:56,814 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7583 +[2025-02-27 06:06:56,843 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.5288 +[2025-02-27 06:06:56,903 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.8643 +[2025-02-27 06:06:56,958 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7950 +[2025-02-27 06:06:56,991 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8434 +[2025-02-27 06:06:57,042 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2466 +[2025-02-27 06:06:57,078 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2643 +[2025-02-27 06:06:57,114 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4506 +[2025-02-27 06:06:57,152 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2916 +[2025-02-27 06:06:57,192 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7659 +[2025-02-27 06:06:57,219 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4381 +[2025-02-27 06:06:57,277 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5990 +[2025-02-27 06:06:57,322 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.7837 +[2025-02-27 06:06:57,372 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1662 +[2025-02-27 06:06:57,409 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4129 +[2025-02-27 06:06:57,452 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4856 +[2025-02-27 06:06:57,502 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6614 +[2025-02-27 06:06:57,545 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.1640 +[2025-02-27 06:06:57,597 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8018 +[2025-02-27 06:06:57,639 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.6743 +[2025-02-27 06:06:57,669 INFO hook.py line 289 1688082] Test: [48/78] Loss 1.0074 +[2025-02-27 06:06:57,700 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0432 +[2025-02-27 06:06:57,731 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0908 +[2025-02-27 06:06:57,759 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0969 +[2025-02-27 06:06:57,790 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3669 +[2025-02-27 06:06:57,814 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4279 +[2025-02-27 06:06:57,847 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5991 +[2025-02-27 06:06:57,883 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1270 +[2025-02-27 06:06:57,921 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2682 +[2025-02-27 06:06:57,953 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.7404 +[2025-02-27 06:06:57,979 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8433 +[2025-02-27 06:06:58,016 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0863 +[2025-02-27 06:06:58,047 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9819 +[2025-02-27 06:06:58,071 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9179 +[2025-02-27 06:06:58,103 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9658 +[2025-02-27 06:06:58,136 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3474 +[2025-02-27 06:06:58,190 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.9032 +[2025-02-27 06:06:58,215 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2457 +[2025-02-27 06:06:58,254 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7243 +[2025-02-27 06:06:58,291 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.8336 +[2025-02-27 06:06:58,322 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1266 +[2025-02-27 06:06:58,352 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4056 +[2025-02-27 06:06:58,404 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4133 +[2025-02-27 06:06:58,444 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3292 +[2025-02-27 06:06:58,492 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4012 +[2025-02-27 06:06:58,537 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6941 +[2025-02-27 06:06:58,577 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4036 +[2025-02-27 06:06:58,623 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6824 +[2025-02-27 06:06:58,652 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.6087 +[2025-02-27 06:06:58,703 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7228 +[2025-02-27 06:06:58,728 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7924 +[2025-02-27 06:07:00,100 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:07:00,100 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:07:00,100 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] wall : 0.7685 0.8835 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] floor : 0.9439 0.9783 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] cabinet : 0.4564 0.6790 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] bed : 0.6566 0.8085 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] chair : 0.8206 0.9314 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] sofa : 0.7388 0.8256 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] table : 0.6105 0.7603 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] door : 0.4787 0.6539 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] window : 0.3972 0.4762 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] bookshelf : 0.6268 0.7787 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] picture : 0.1613 0.2044 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] counter : 0.5040 0.7458 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] desk : 0.4877 0.6505 +[2025-02-27 06:07:00,100 INFO hook.py line 232 1688082] curtain : 0.5644 0.6613 +[2025-02-27 06:07:00,101 INFO hook.py line 232 1688082] refridgerator : 0.3726 0.4083 +[2025-02-27 06:07:00,101 INFO hook.py line 232 1688082] shower curtain : 0.5002 0.5857 +[2025-02-27 06:07:00,101 INFO hook.py line 232 1688082] toilet : 0.8328 0.9105 +[2025-02-27 06:07:00,101 INFO hook.py line 232 1688082] sink : 0.4931 0.6418 +[2025-02-27 06:07:00,101 INFO hook.py line 232 1688082] bathtub : 0.5790 0.9143 +[2025-02-27 06:07:00,101 INFO hook.py line 232 1688082] otherfurniture : 0.3884 0.4975 +[2025-02-27 06:07:00,101 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:07:00,101 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5691/0.6998/0.8371. +[2025-02-27 06:07:00,102 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:07:00,121 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5699 +[2025-02-27 06:07:00,121 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:07:21,537 INFO hook.py line 109 1688082] Train: [68/100][50/300] Data 0.006 (0.004) Batch 0.245 (0.266) Remain 00:43:42 loss: 0.4792 Lr: 1.60382e-03 +[2025-02-27 06:07:39,344 INFO hook.py line 109 1688082] Train: [68/100][100/300] Data 0.002 (0.006) Batch 0.384 (0.313) Remain 00:51:03 loss: 0.4895 Lr: 1.58920e-03 +[2025-02-27 06:07:58,325 INFO hook.py line 109 1688082] Train: [68/100][150/300] Data 0.004 (0.006) Batch 0.229 (0.335) Remain 00:54:30 loss: 0.3482 Lr: 1.57464e-03 +[2025-02-27 06:08:19,312 INFO hook.py line 109 1688082] Train: [68/100][200/300] Data 0.012 (0.007) Batch 0.395 (0.357) Remain 00:57:40 loss: 0.4559 Lr: 1.56011e-03 +[2025-02-27 06:08:38,770 INFO hook.py line 109 1688082] Train: [68/100][250/300] Data 0.004 (0.007) Batch 0.407 (0.363) Remain 00:58:26 loss: 0.7201 Lr: 1.54563e-03 +[2025-02-27 06:08:52,009 INFO hook.py line 109 1688082] Train: [68/100][300/300] Data 0.002 (0.007) Batch 0.193 (0.347) Remain 00:55:28 loss: 0.0853 Lr: 1.53119e-03 +[2025-02-27 06:08:52,009 INFO misc.py line 135 1688082] Train result: loss: 0.3528 +[2025-02-27 06:08:52,116 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:09:11,755 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5099 +[2025-02-27 06:09:11,808 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.2075 +[2025-02-27 06:09:11,851 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6865 +[2025-02-27 06:09:11,917 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.9187 +[2025-02-27 06:09:11,963 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7157 +[2025-02-27 06:09:12,020 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7727 +[2025-02-27 06:09:12,073 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7974 +[2025-02-27 06:09:12,114 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5173 +[2025-02-27 06:09:12,168 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4181 +[2025-02-27 06:09:12,215 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.6785 +[2025-02-27 06:09:12,263 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9605 +[2025-02-27 06:09:12,295 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2427 +[2025-02-27 06:09:12,342 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4780 +[2025-02-27 06:09:12,467 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4903 +[2025-02-27 06:09:12,505 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.5033 +[2025-02-27 06:09:12,724 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2528 +[2025-02-27 06:09:12,759 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0726 +[2025-02-27 06:09:12,801 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3819 +[2025-02-27 06:09:12,842 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4359 +[2025-02-27 06:09:12,877 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2135 +[2025-02-27 06:09:12,911 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.2952 +[2025-02-27 06:09:12,954 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7851 +[2025-02-27 06:09:12,986 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9887 +[2025-02-27 06:09:13,036 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3769 +[2025-02-27 06:09:13,079 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.6368 +[2025-02-27 06:09:13,124 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8529 +[2025-02-27 06:09:13,175 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5861 +[2025-02-27 06:09:13,208 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0182 +[2025-02-27 06:09:13,238 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3371 +[2025-02-27 06:09:13,288 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7794 +[2025-02-27 06:09:13,342 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7404 +[2025-02-27 06:09:13,377 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.3268 +[2025-02-27 06:09:13,428 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3353 +[2025-02-27 06:09:13,469 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4663 +[2025-02-27 06:09:13,513 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4185 +[2025-02-27 06:09:13,555 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.1800 +[2025-02-27 06:09:13,589 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7225 +[2025-02-27 06:09:13,618 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.5405 +[2025-02-27 06:09:13,679 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.3055 +[2025-02-27 06:09:13,723 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1517 +[2025-02-27 06:09:13,771 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2044 +[2025-02-27 06:09:13,812 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2771 +[2025-02-27 06:09:13,858 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4842 +[2025-02-27 06:09:13,910 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7219 +[2025-02-27 06:09:13,951 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.2668 +[2025-02-27 06:09:14,001 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8879 +[2025-02-27 06:09:14,037 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.4447 +[2025-02-27 06:09:14,069 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9113 +[2025-02-27 06:09:14,100 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2829 +[2025-02-27 06:09:14,130 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3533 +[2025-02-27 06:09:14,156 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.8778 +[2025-02-27 06:09:14,188 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5635 +[2025-02-27 06:09:14,214 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3480 +[2025-02-27 06:09:14,247 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5317 +[2025-02-27 06:09:14,282 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1417 +[2025-02-27 06:09:14,320 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2866 +[2025-02-27 06:09:14,350 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8800 +[2025-02-27 06:09:14,376 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9150 +[2025-02-27 06:09:14,413 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0674 +[2025-02-27 06:09:14,445 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9398 +[2025-02-27 06:09:14,469 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.3521 +[2025-02-27 06:09:14,501 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8206 +[2025-02-27 06:09:14,535 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5443 +[2025-02-27 06:09:14,590 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6931 +[2025-02-27 06:09:14,619 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2355 +[2025-02-27 06:09:14,657 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7767 +[2025-02-27 06:09:14,693 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6843 +[2025-02-27 06:09:14,727 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.3210 +[2025-02-27 06:09:14,761 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3232 +[2025-02-27 06:09:14,813 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2324 +[2025-02-27 06:09:14,854 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.6703 +[2025-02-27 06:09:14,903 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4956 +[2025-02-27 06:09:14,949 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4634 +[2025-02-27 06:09:14,987 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2776 +[2025-02-27 06:09:15,033 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.9150 +[2025-02-27 06:09:15,060 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1793 +[2025-02-27 06:09:15,114 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.4000 +[2025-02-27 06:09:15,139 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6120 +[2025-02-27 06:09:16,634 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:09:16,634 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:09:16,634 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] wall : 0.7650 0.9249 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] floor : 0.9532 0.9820 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] cabinet : 0.4750 0.5833 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] bed : 0.6135 0.6844 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] chair : 0.8143 0.8817 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] sofa : 0.6723 0.8910 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] table : 0.5936 0.7857 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] door : 0.4057 0.4439 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] window : 0.3921 0.4975 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] bookshelf : 0.6380 0.7350 +[2025-02-27 06:09:16,634 INFO hook.py line 232 1688082] picture : 0.1594 0.2349 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] counter : 0.3974 0.7200 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] desk : 0.4223 0.6234 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] curtain : 0.5372 0.7432 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] refridgerator : 0.3506 0.3871 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] shower curtain : 0.3892 0.5106 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] toilet : 0.7674 0.9291 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] sink : 0.4745 0.6688 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] bathtub : 0.6463 0.8928 +[2025-02-27 06:09:16,635 INFO hook.py line 232 1688082] otherfurniture : 0.4052 0.5077 +[2025-02-27 06:09:16,635 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:09:16,635 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5436/0.6814/0.8334. +[2025-02-27 06:09:16,635 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:09:16,649 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5699 +[2025-02-27 06:09:16,649 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:09:43,617 INFO hook.py line 109 1688082] Train: [69/100][50/300] Data 0.013 (0.007) Batch 0.387 (0.373) Remain 00:59:18 loss: 0.2329 Lr: 1.51680e-03 +[2025-02-27 06:10:02,140 INFO hook.py line 109 1688082] Train: [69/100][100/300] Data 0.008 (0.007) Batch 0.276 (0.372) Remain 00:58:49 loss: 0.5664 Lr: 1.50245e-03 +[2025-02-27 06:10:21,351 INFO hook.py line 109 1688082] Train: [69/100][150/300] Data 0.004 (0.008) Batch 0.315 (0.376) Remain 00:59:11 loss: 0.5473 Lr: 1.48815e-03 +[2025-02-27 06:10:39,542 INFO hook.py line 109 1688082] Train: [69/100][200/300] Data 0.005 (0.008) Batch 0.445 (0.373) Remain 00:58:23 loss: 0.3955 Lr: 1.47390e-03 +[2025-02-27 06:10:58,063 INFO hook.py line 109 1688082] Train: [69/100][250/300] Data 0.006 (0.008) Batch 0.371 (0.372) Remain 00:58:01 loss: 0.3098 Lr: 1.45969e-03 +[2025-02-27 06:11:11,157 INFO hook.py line 109 1688082] Train: [69/100][300/300] Data 0.001 (0.007) Batch 0.175 (0.354) Remain 00:54:49 loss: 0.1952 Lr: 1.44553e-03 +[2025-02-27 06:11:11,158 INFO misc.py line 135 1688082] Train result: loss: 0.3487 +[2025-02-27 06:11:11,252 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:11:26,365 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3908 +[2025-02-27 06:11:26,411 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8752 +[2025-02-27 06:11:26,467 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.9203 +[2025-02-27 06:11:26,514 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.5779 +[2025-02-27 06:11:26,558 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.9601 +[2025-02-27 06:11:26,671 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7000 +[2025-02-27 06:11:27,218 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8007 +[2025-02-27 06:11:27,257 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.6484 +[2025-02-27 06:11:27,305 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2181 +[2025-02-27 06:11:27,346 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.7030 +[2025-02-27 06:11:27,390 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8042 +[2025-02-27 06:11:27,432 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3359 +[2025-02-27 06:11:27,479 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.7662 +[2025-02-27 06:11:27,524 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4985 +[2025-02-27 06:11:27,567 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.5178 +[2025-02-27 06:11:27,619 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1205 +[2025-02-27 06:11:27,663 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0407 +[2025-02-27 06:11:27,702 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3296 +[2025-02-27 06:11:27,750 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3598 +[2025-02-27 06:11:27,793 INFO hook.py line 289 1688082] Test: [20/78] Loss 0.9628 +[2025-02-27 06:11:27,835 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3401 +[2025-02-27 06:11:27,882 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8528 +[2025-02-27 06:11:27,920 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9919 +[2025-02-27 06:11:27,972 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2730 +[2025-02-27 06:11:28,019 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5829 +[2025-02-27 06:11:28,061 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1367 +[2025-02-27 06:11:28,116 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.7544 +[2025-02-27 06:11:28,158 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.9728 +[2025-02-27 06:11:28,196 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4137 +[2025-02-27 06:11:28,257 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.9481 +[2025-02-27 06:11:28,316 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7412 +[2025-02-27 06:11:28,361 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8675 +[2025-02-27 06:11:28,421 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3919 +[2025-02-27 06:11:28,465 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4533 +[2025-02-27 06:11:28,508 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4256 +[2025-02-27 06:11:28,556 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4360 +[2025-02-27 06:11:28,604 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.7785 +[2025-02-27 06:11:28,642 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3309 +[2025-02-27 06:11:28,706 INFO hook.py line 289 1688082] Test: [39/78] Loss 2.0281 +[2025-02-27 06:11:28,763 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9812 +[2025-02-27 06:11:28,811 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2600 +[2025-02-27 06:11:28,848 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3168 +[2025-02-27 06:11:28,894 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5734 +[2025-02-27 06:11:28,953 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7733 +[2025-02-27 06:11:28,994 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9235 +[2025-02-27 06:11:29,044 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9553 +[2025-02-27 06:11:29,088 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.8660 +[2025-02-27 06:11:29,126 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9479 +[2025-02-27 06:11:29,164 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1018 +[2025-02-27 06:11:29,201 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.3395 +[2025-02-27 06:11:29,238 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4475 +[2025-02-27 06:11:29,279 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2851 +[2025-02-27 06:11:29,314 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4259 +[2025-02-27 06:11:29,356 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5580 +[2025-02-27 06:11:29,390 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0867 +[2025-02-27 06:11:29,437 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3819 +[2025-02-27 06:11:29,476 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.1362 +[2025-02-27 06:11:29,511 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8873 +[2025-02-27 06:11:29,556 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1903 +[2025-02-27 06:11:29,596 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1413 +[2025-02-27 06:11:29,630 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9694 +[2025-02-27 06:11:29,672 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1439 +[2025-02-27 06:11:29,713 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2502 +[2025-02-27 06:11:29,774 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8886 +[2025-02-27 06:11:29,811 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1990 +[2025-02-27 06:11:29,853 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7930 +[2025-02-27 06:11:29,898 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5776 +[2025-02-27 06:11:29,937 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1464 +[2025-02-27 06:11:29,973 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4277 +[2025-02-27 06:11:30,024 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2495 +[2025-02-27 06:11:30,074 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4989 +[2025-02-27 06:11:30,129 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5913 +[2025-02-27 06:11:30,183 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5763 +[2025-02-27 06:11:30,228 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1540 +[2025-02-27 06:11:30,274 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6098 +[2025-02-27 06:11:30,309 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2044 +[2025-02-27 06:11:30,368 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6155 +[2025-02-27 06:11:30,404 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6303 +[2025-02-27 06:11:31,876 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:11:31,876 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:11:31,877 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] wall : 0.7637 0.8833 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] floor : 0.9485 0.9745 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] cabinet : 0.4144 0.7260 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] bed : 0.6472 0.7674 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] chair : 0.8188 0.9397 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] sofa : 0.7604 0.8587 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] table : 0.6246 0.7228 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] door : 0.4522 0.5879 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] window : 0.3993 0.5023 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] bookshelf : 0.6427 0.7610 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] picture : 0.1819 0.2713 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] counter : 0.4059 0.5425 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] desk : 0.4684 0.7007 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] curtain : 0.5318 0.7694 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] refridgerator : 0.3146 0.3252 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] shower curtain : 0.4526 0.5121 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] toilet : 0.8023 0.9176 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] sink : 0.4310 0.6646 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] bathtub : 0.7683 0.8960 +[2025-02-27 06:11:31,877 INFO hook.py line 232 1688082] otherfurniture : 0.3953 0.4437 +[2025-02-27 06:11:31,877 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:11:31,878 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5612/0.6883/0.8329. +[2025-02-27 06:11:31,878 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:11:31,894 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5699 +[2025-02-27 06:11:31,894 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:11:56,202 INFO hook.py line 109 1688082] Train: [70/100][50/300] Data 0.003 (0.006) Batch 0.295 (0.334) Remain 00:51:33 loss: 0.2973 Lr: 1.43141e-03 +[2025-02-27 06:12:15,867 INFO hook.py line 109 1688082] Train: [70/100][100/300] Data 0.011 (0.007) Batch 0.540 (0.365) Remain 00:55:55 loss: 0.1970 Lr: 1.41734e-03 +[2025-02-27 06:12:35,732 INFO hook.py line 109 1688082] Train: [70/100][150/300] Data 0.005 (0.007) Batch 0.328 (0.376) Remain 00:57:18 loss: 0.1686 Lr: 1.40332e-03 +[2025-02-27 06:12:54,214 INFO hook.py line 109 1688082] Train: [70/100][200/300] Data 0.010 (0.007) Batch 0.502 (0.374) Remain 00:56:45 loss: 0.3539 Lr: 1.38935e-03 +[2025-02-27 06:13:12,299 INFO hook.py line 109 1688082] Train: [70/100][250/300] Data 0.006 (0.007) Batch 0.329 (0.372) Remain 00:56:03 loss: 0.2424 Lr: 1.37543e-03 +[2025-02-27 06:13:26,015 INFO hook.py line 109 1688082] Train: [70/100][300/300] Data 0.003 (0.007) Batch 0.190 (0.355) Remain 00:53:17 loss: 0.3774 Lr: 1.36156e-03 +[2025-02-27 06:13:26,016 INFO misc.py line 135 1688082] Train result: loss: 0.3215 +[2025-02-27 06:13:26,110 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:13:44,529 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4038 +[2025-02-27 06:13:45,521 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.6387 +[2025-02-27 06:13:45,581 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7383 +[2025-02-27 06:13:45,646 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7206 +[2025-02-27 06:13:45,714 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6915 +[2025-02-27 06:13:45,773 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9771 +[2025-02-27 06:13:45,826 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8211 +[2025-02-27 06:13:45,869 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4978 +[2025-02-27 06:13:45,915 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4249 +[2025-02-27 06:13:45,958 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4303 +[2025-02-27 06:13:46,004 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6285 +[2025-02-27 06:13:46,044 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3297 +[2025-02-27 06:13:46,108 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0178 +[2025-02-27 06:13:46,147 INFO hook.py line 289 1688082] Test: [14/78] Loss 1.9980 +[2025-02-27 06:13:46,184 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2827 +[2025-02-27 06:13:46,227 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.4405 +[2025-02-27 06:13:46,267 INFO hook.py line 289 1688082] Test: [17/78] Loss 1.0378 +[2025-02-27 06:13:46,305 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2679 +[2025-02-27 06:13:46,349 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6965 +[2025-02-27 06:13:46,383 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1929 +[2025-02-27 06:13:46,418 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4160 +[2025-02-27 06:13:46,456 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8939 +[2025-02-27 06:13:46,483 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1907 +[2025-02-27 06:13:46,528 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3296 +[2025-02-27 06:13:46,571 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.4895 +[2025-02-27 06:13:46,610 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9310 +[2025-02-27 06:13:46,658 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6162 +[2025-02-27 06:13:46,692 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8578 +[2025-02-27 06:13:46,734 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4919 +[2025-02-27 06:13:46,784 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6926 +[2025-02-27 06:13:46,838 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6782 +[2025-02-27 06:13:46,873 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0717 +[2025-02-27 06:13:46,924 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3680 +[2025-02-27 06:13:46,960 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3019 +[2025-02-27 06:13:46,994 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5916 +[2025-02-27 06:13:47,033 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3697 +[2025-02-27 06:13:47,072 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6326 +[2025-02-27 06:13:47,123 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3633 +[2025-02-27 06:13:47,183 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7730 +[2025-02-27 06:13:47,226 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.3071 +[2025-02-27 06:13:47,271 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2475 +[2025-02-27 06:13:47,305 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4875 +[2025-02-27 06:13:47,342 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5513 +[2025-02-27 06:13:47,403 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8690 +[2025-02-27 06:13:47,435 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0714 +[2025-02-27 06:13:47,489 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0471 +[2025-02-27 06:13:47,527 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.9844 +[2025-02-27 06:13:47,566 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8472 +[2025-02-27 06:13:47,596 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0234 +[2025-02-27 06:13:47,628 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1585 +[2025-02-27 06:13:47,655 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.9383 +[2025-02-27 06:13:47,688 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4312 +[2025-02-27 06:13:47,713 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3405 +[2025-02-27 06:13:47,745 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3617 +[2025-02-27 06:13:47,780 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1075 +[2025-02-27 06:13:47,818 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3524 +[2025-02-27 06:13:47,849 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0956 +[2025-02-27 06:13:47,875 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.1347 +[2025-02-27 06:13:47,912 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2651 +[2025-02-27 06:13:47,943 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0032 +[2025-02-27 06:13:47,966 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9696 +[2025-02-27 06:13:47,998 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8917 +[2025-02-27 06:13:48,033 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.7785 +[2025-02-27 06:13:48,086 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7745 +[2025-02-27 06:13:48,114 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2415 +[2025-02-27 06:13:48,151 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8554 +[2025-02-27 06:13:48,188 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7738 +[2025-02-27 06:13:48,219 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0356 +[2025-02-27 06:13:48,248 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4227 +[2025-02-27 06:13:48,300 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1728 +[2025-02-27 06:13:48,341 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4290 +[2025-02-27 06:13:48,389 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4870 +[2025-02-27 06:13:48,436 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6565 +[2025-02-27 06:13:48,475 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0710 +[2025-02-27 06:13:48,520 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7196 +[2025-02-27 06:13:48,548 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0136 +[2025-02-27 06:13:48,602 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8885 +[2025-02-27 06:13:48,627 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7967 +[2025-02-27 06:13:49,968 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:13:49,968 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:13:49,968 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:13:49,968 INFO hook.py line 232 1688082] wall : 0.7611 0.8638 +[2025-02-27 06:13:49,968 INFO hook.py line 232 1688082] floor : 0.9487 0.9762 +[2025-02-27 06:13:49,968 INFO hook.py line 232 1688082] cabinet : 0.4224 0.6900 +[2025-02-27 06:13:49,968 INFO hook.py line 232 1688082] bed : 0.6506 0.7600 +[2025-02-27 06:13:49,968 INFO hook.py line 232 1688082] chair : 0.8328 0.9176 +[2025-02-27 06:13:49,968 INFO hook.py line 232 1688082] sofa : 0.7446 0.8711 +[2025-02-27 06:13:49,968 INFO hook.py line 232 1688082] table : 0.6269 0.7860 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] door : 0.4430 0.6272 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] window : 0.4056 0.5565 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] bookshelf : 0.6441 0.8014 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] picture : 0.1356 0.1529 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] counter : 0.4938 0.7019 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] desk : 0.4366 0.6036 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] curtain : 0.5935 0.6912 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] refridgerator : 0.3501 0.3846 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] shower curtain : 0.4799 0.5717 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] toilet : 0.8197 0.9093 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] sink : 0.5012 0.6160 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] bathtub : 0.7215 0.7755 +[2025-02-27 06:13:49,969 INFO hook.py line 232 1688082] otherfurniture : 0.4031 0.5339 +[2025-02-27 06:13:49,969 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:13:49,969 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5707/0.6895/0.8328. +[2025-02-27 06:13:49,970 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:13:49,981 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5707 +[2025-02-27 06:13:49,982 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5707 +[2025-02-27 06:13:49,982 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:14:16,713 INFO hook.py line 109 1688082] Train: [71/100][50/300] Data 0.003 (0.008) Batch 0.373 (0.368) Remain 00:54:55 loss: 0.3621 Lr: 1.34773e-03 +[2025-02-27 06:14:35,227 INFO hook.py line 109 1688082] Train: [71/100][100/300] Data 0.005 (0.007) Batch 0.398 (0.369) Remain 00:54:45 loss: 0.7544 Lr: 1.33424e-03 +[2025-02-27 06:14:53,920 INFO hook.py line 109 1688082] Train: [71/100][150/300] Data 0.003 (0.008) Batch 0.284 (0.371) Remain 00:54:41 loss: 0.3363 Lr: 1.32079e-03 +[2025-02-27 06:15:10,866 INFO hook.py line 109 1688082] Train: [71/100][200/300] Data 0.003 (0.008) Batch 0.239 (0.363) Remain 00:53:11 loss: 0.2457 Lr: 1.30711e-03 +[2025-02-27 06:15:23,604 INFO hook.py line 109 1688082] Train: [71/100][250/300] Data 0.002 (0.007) Batch 0.251 (0.341) Remain 00:49:42 loss: 0.1889 Lr: 1.29349e-03 +[2025-02-27 06:15:40,147 INFO hook.py line 109 1688082] Train: [71/100][300/300] Data 0.005 (0.007) Batch 0.237 (0.339) Remain 00:49:10 loss: 0.2087 Lr: 1.27992e-03 +[2025-02-27 06:15:40,149 INFO misc.py line 135 1688082] Train result: loss: 0.3274 +[2025-02-27 06:15:40,261 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:15:59,615 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.5126 +[2025-02-27 06:15:59,676 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0211 +[2025-02-27 06:15:59,723 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7728 +[2025-02-27 06:15:59,788 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7179 +[2025-02-27 06:15:59,851 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7317 +[2025-02-27 06:15:59,920 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8027 +[2025-02-27 06:15:59,995 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8601 +[2025-02-27 06:16:00,038 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.8752 +[2025-02-27 06:16:09,628 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3058 +[2025-02-27 06:16:09,668 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4484 +[2025-02-27 06:16:09,964 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7075 +[2025-02-27 06:16:09,999 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.4290 +[2025-02-27 06:16:10,045 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4777 +[2025-02-27 06:16:10,083 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3252 +[2025-02-27 06:16:10,118 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2178 +[2025-02-27 06:16:10,163 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3681 +[2025-02-27 06:16:10,199 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8905 +[2025-02-27 06:16:10,234 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2404 +[2025-02-27 06:16:10,274 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6575 +[2025-02-27 06:16:10,310 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0709 +[2025-02-27 06:16:10,343 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3552 +[2025-02-27 06:16:10,380 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8315 +[2025-02-27 06:16:10,413 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9187 +[2025-02-27 06:16:10,459 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3901 +[2025-02-27 06:16:10,500 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3564 +[2025-02-27 06:16:10,549 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9511 +[2025-02-27 06:16:10,596 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5049 +[2025-02-27 06:16:10,639 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7878 +[2025-02-27 06:16:10,672 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4128 +[2025-02-27 06:16:10,723 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7509 +[2025-02-27 06:16:10,776 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6769 +[2025-02-27 06:16:10,811 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9163 +[2025-02-27 06:16:10,860 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.4735 +[2025-02-27 06:16:10,903 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4403 +[2025-02-27 06:16:10,946 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4043 +[2025-02-27 06:16:10,983 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.0488 +[2025-02-27 06:16:11,018 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5908 +[2025-02-27 06:16:11,048 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4100 +[2025-02-27 06:16:11,108 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.3525 +[2025-02-27 06:16:11,153 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.8446 +[2025-02-27 06:16:11,194 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3001 +[2025-02-27 06:16:11,235 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4166 +[2025-02-27 06:16:11,272 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8874 +[2025-02-27 06:16:11,324 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8602 +[2025-02-27 06:16:11,357 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9869 +[2025-02-27 06:16:11,416 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.2046 +[2025-02-27 06:16:11,452 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0475 +[2025-02-27 06:16:11,483 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7956 +[2025-02-27 06:16:11,513 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1172 +[2025-02-27 06:16:11,544 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1283 +[2025-02-27 06:16:11,576 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3358 +[2025-02-27 06:16:11,609 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2289 +[2025-02-27 06:16:11,633 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3844 +[2025-02-27 06:16:11,665 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2401 +[2025-02-27 06:16:11,700 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1021 +[2025-02-27 06:16:11,738 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4287 +[2025-02-27 06:16:11,769 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8916 +[2025-02-27 06:16:11,795 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9320 +[2025-02-27 06:16:11,831 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9747 +[2025-02-27 06:16:11,863 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9208 +[2025-02-27 06:16:11,888 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8484 +[2025-02-27 06:16:11,920 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8671 +[2025-02-27 06:16:11,954 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6510 +[2025-02-27 06:16:12,008 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8678 +[2025-02-27 06:16:12,034 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1959 +[2025-02-27 06:16:12,073 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8495 +[2025-02-27 06:16:12,110 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5224 +[2025-02-27 06:16:12,142 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9229 +[2025-02-27 06:16:12,171 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4380 +[2025-02-27 06:16:12,223 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.1782 +[2025-02-27 06:16:12,264 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3275 +[2025-02-27 06:16:12,312 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.7867 +[2025-02-27 06:16:12,359 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.7956 +[2025-02-27 06:16:12,397 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.0046 +[2025-02-27 06:16:12,443 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7947 +[2025-02-27 06:16:12,470 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1051 +[2025-02-27 06:16:12,522 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.8508 +[2025-02-27 06:16:12,549 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6648 +[2025-02-27 06:16:14,590 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:16:14,594 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:16:14,594 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:16:14,594 INFO hook.py line 232 1688082] wall : 0.7525 0.8526 +[2025-02-27 06:16:14,594 INFO hook.py line 232 1688082] floor : 0.9512 0.9767 +[2025-02-27 06:16:14,594 INFO hook.py line 232 1688082] cabinet : 0.4381 0.5787 +[2025-02-27 06:16:14,594 INFO hook.py line 232 1688082] bed : 0.6363 0.7736 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] chair : 0.8251 0.9308 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] sofa : 0.7243 0.8933 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] table : 0.6066 0.7363 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] door : 0.4465 0.5884 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] window : 0.4262 0.5559 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] bookshelf : 0.6377 0.8236 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] picture : 0.1644 0.2357 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] counter : 0.4967 0.6504 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] desk : 0.4470 0.8003 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] curtain : 0.5616 0.7631 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] refridgerator : 0.3608 0.4247 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] shower curtain : 0.5000 0.5899 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] toilet : 0.8489 0.8987 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] sink : 0.5253 0.6576 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] bathtub : 0.7827 0.8250 +[2025-02-27 06:16:14,595 INFO hook.py line 232 1688082] otherfurniture : 0.3978 0.5724 +[2025-02-27 06:16:14,595 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:16:14,595 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5765/0.7064/0.8312. +[2025-02-27 06:16:14,596 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:16:14,637 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5765 +[2025-02-27 06:16:14,637 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5765 +[2025-02-27 06:16:14,637 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:16:41,057 INFO hook.py line 109 1688082] Train: [72/100][50/300] Data 0.009 (0.008) Batch 0.458 (0.371) Remain 00:53:32 loss: 0.3224 Lr: 1.26641e-03 +[2025-02-27 06:16:59,448 INFO hook.py line 109 1688082] Train: [72/100][100/300] Data 0.004 (0.008) Batch 0.299 (0.370) Remain 00:52:58 loss: 0.3902 Lr: 1.25294e-03 +[2025-02-27 06:17:17,977 INFO hook.py line 109 1688082] Train: [72/100][150/300] Data 0.005 (0.008) Batch 0.298 (0.370) Remain 00:52:42 loss: 0.6411 Lr: 1.23953e-03 +[2025-02-27 06:17:36,211 INFO hook.py line 109 1688082] Train: [72/100][200/300] Data 0.004 (0.008) Batch 0.275 (0.369) Remain 00:52:13 loss: 0.4198 Lr: 1.22617e-03 +[2025-02-27 06:17:54,162 INFO hook.py line 109 1688082] Train: [72/100][250/300] Data 0.017 (0.008) Batch 0.345 (0.367) Remain 00:51:38 loss: 0.2502 Lr: 1.21287e-03 +[2025-02-27 06:18:07,968 INFO hook.py line 109 1688082] Train: [72/100][300/300] Data 0.002 (0.007) Batch 0.194 (0.351) Remain 00:49:11 loss: 0.2038 Lr: 1.19962e-03 +[2025-02-27 06:18:07,969 INFO misc.py line 135 1688082] Train result: loss: 0.3157 +[2025-02-27 06:18:08,076 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:18:27,617 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4685 +[2025-02-27 06:18:28,260 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9632 +[2025-02-27 06:18:28,309 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6811 +[2025-02-27 06:18:28,358 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8204 +[2025-02-27 06:18:28,996 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7269 +[2025-02-27 06:18:29,063 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8644 +[2025-02-27 06:18:29,123 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.6677 +[2025-02-27 06:18:29,151 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.7651 +[2025-02-27 06:18:29,203 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.5117 +[2025-02-27 06:18:29,247 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4660 +[2025-02-27 06:18:29,295 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7954 +[2025-02-27 06:18:29,333 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3060 +[2025-02-27 06:18:29,379 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.8674 +[2025-02-27 06:18:29,419 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6001 +[2025-02-27 06:18:29,456 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.4832 +[2025-02-27 06:18:29,501 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.9221 +[2025-02-27 06:18:29,539 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8096 +[2025-02-27 06:18:29,571 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3804 +[2025-02-27 06:18:29,613 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4761 +[2025-02-27 06:18:29,645 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.3357 +[2025-02-27 06:18:29,680 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3959 +[2025-02-27 06:18:29,717 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6532 +[2025-02-27 06:18:29,748 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0819 +[2025-02-27 06:18:29,793 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.0105 +[2025-02-27 06:18:29,835 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1468 +[2025-02-27 06:18:29,875 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9249 +[2025-02-27 06:18:29,922 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.7548 +[2025-02-27 06:18:29,955 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6844 +[2025-02-27 06:18:29,985 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4465 +[2025-02-27 06:18:30,039 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6177 +[2025-02-27 06:18:30,099 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.9083 +[2025-02-27 06:18:30,138 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9153 +[2025-02-27 06:18:30,190 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3340 +[2025-02-27 06:18:30,227 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3978 +[2025-02-27 06:18:30,275 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.3581 +[2025-02-27 06:18:30,320 INFO hook.py line 289 1688082] Test: [36/78] Loss 0.9604 +[2025-02-27 06:18:30,355 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6198 +[2025-02-27 06:18:30,387 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4980 +[2025-02-27 06:18:30,445 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5940 +[2025-02-27 06:18:30,489 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0466 +[2025-02-27 06:18:30,532 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1297 +[2025-02-27 06:18:30,559 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2708 +[2025-02-27 06:18:30,604 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5445 +[2025-02-27 06:18:30,657 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.9360 +[2025-02-27 06:18:30,691 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8420 +[2025-02-27 06:18:30,738 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0205 +[2025-02-27 06:18:30,774 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.6093 +[2025-02-27 06:18:30,805 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8119 +[2025-02-27 06:18:30,837 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2919 +[2025-02-27 06:18:30,868 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.2013 +[2025-02-27 06:18:30,895 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.8190 +[2025-02-27 06:18:30,927 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.5044 +[2025-02-27 06:18:30,952 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4326 +[2025-02-27 06:18:30,986 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.6857 +[2025-02-27 06:18:31,022 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1052 +[2025-02-27 06:18:31,060 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3271 +[2025-02-27 06:18:31,092 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9148 +[2025-02-27 06:18:31,119 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.7972 +[2025-02-27 06:18:31,157 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0625 +[2025-02-27 06:18:31,189 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0098 +[2025-02-27 06:18:31,212 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8267 +[2025-02-27 06:18:31,244 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8137 +[2025-02-27 06:18:31,278 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6719 +[2025-02-27 06:18:31,331 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6327 +[2025-02-27 06:18:31,358 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1535 +[2025-02-27 06:18:31,397 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7919 +[2025-02-27 06:18:31,434 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6250 +[2025-02-27 06:18:31,466 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.1503 +[2025-02-27 06:18:31,496 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3630 +[2025-02-27 06:18:31,547 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3174 +[2025-02-27 06:18:31,588 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4509 +[2025-02-27 06:18:31,636 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.6690 +[2025-02-27 06:18:31,683 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5709 +[2025-02-27 06:18:31,722 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2500 +[2025-02-27 06:18:31,768 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8149 +[2025-02-27 06:18:31,796 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3286 +[2025-02-27 06:18:31,849 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.3982 +[2025-02-27 06:18:31,876 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6684 +[2025-02-27 06:18:33,300 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:18:33,301 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:18:33,301 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:18:33,301 INFO hook.py line 232 1688082] wall : 0.7650 0.9371 +[2025-02-27 06:18:33,301 INFO hook.py line 232 1688082] floor : 0.9489 0.9805 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] cabinet : 0.4905 0.6046 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] bed : 0.6798 0.7453 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] chair : 0.8312 0.8892 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] sofa : 0.7616 0.8630 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] table : 0.6091 0.7153 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] door : 0.4405 0.5490 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] window : 0.4032 0.5077 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] bookshelf : 0.6688 0.7969 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] picture : 0.1416 0.1742 +[2025-02-27 06:18:33,302 INFO hook.py line 232 1688082] counter : 0.4760 0.7142 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] desk : 0.4945 0.7642 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] curtain : 0.5696 0.6726 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] refridgerator : 0.3481 0.3864 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] shower curtain : 0.4600 0.5290 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] toilet : 0.7559 0.9180 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] sink : 0.5131 0.6783 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] bathtub : 0.7125 0.8695 +[2025-02-27 06:18:33,303 INFO hook.py line 232 1688082] otherfurniture : 0.4021 0.4743 +[2025-02-27 06:18:33,303 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:18:33,303 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5736/0.6885/0.8424. +[2025-02-27 06:18:33,304 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:18:33,321 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5765 +[2025-02-27 06:18:33,321 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:18:55,970 INFO hook.py line 109 1688082] Train: [73/100][50/300] Data 0.003 (0.004) Batch 0.262 (0.261) Remain 00:36:15 loss: 0.2673 Lr: 1.18642e-03 +[2025-02-27 06:19:12,517 INFO hook.py line 109 1688082] Train: [73/100][100/300] Data 0.020 (0.005) Batch 0.374 (0.297) Remain 00:41:03 loss: 0.5111 Lr: 1.17328e-03 +[2025-02-27 06:19:32,644 INFO hook.py line 109 1688082] Train: [73/100][150/300] Data 0.003 (0.006) Batch 0.248 (0.333) Remain 00:45:45 loss: 0.1446 Lr: 1.16020e-03 +[2025-02-27 06:19:53,205 INFO hook.py line 109 1688082] Train: [73/100][200/300] Data 0.007 (0.006) Batch 0.530 (0.353) Remain 00:48:11 loss: 0.4569 Lr: 1.14717e-03 +[2025-02-27 06:20:12,879 INFO hook.py line 109 1688082] Train: [73/100][250/300] Data 0.004 (0.007) Batch 0.312 (0.361) Remain 00:49:01 loss: 0.2744 Lr: 1.13419e-03 +[2025-02-27 06:20:26,639 INFO hook.py line 109 1688082] Train: [73/100][300/300] Data 0.002 (0.006) Batch 0.192 (0.347) Remain 00:46:46 loss: 0.6361 Lr: 1.12128e-03 +[2025-02-27 06:20:26,640 INFO misc.py line 135 1688082] Train result: loss: 0.3131 +[2025-02-27 06:20:26,739 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:20:45,631 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3517 +[2025-02-27 06:20:45,938 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8715 +[2025-02-27 06:20:45,979 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6807 +[2025-02-27 06:20:46,146 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7141 +[2025-02-27 06:20:46,191 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7880 +[2025-02-27 06:20:46,250 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9742 +[2025-02-27 06:20:46,301 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8620 +[2025-02-27 06:20:46,491 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5610 +[2025-02-27 06:20:46,540 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3526 +[2025-02-27 06:20:46,583 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4878 +[2025-02-27 06:20:46,630 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7423 +[2025-02-27 06:20:46,674 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1717 +[2025-02-27 06:20:46,721 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2992 +[2025-02-27 06:20:46,759 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.2654 +[2025-02-27 06:20:46,798 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7885 +[2025-02-27 06:20:47,162 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2260 +[2025-02-27 06:20:47,208 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9408 +[2025-02-27 06:20:47,244 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.7997 +[2025-02-27 06:20:47,286 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5294 +[2025-02-27 06:20:47,320 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.3037 +[2025-02-27 06:20:47,355 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3885 +[2025-02-27 06:20:47,398 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8595 +[2025-02-27 06:20:47,426 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0176 +[2025-02-27 06:20:47,471 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2522 +[2025-02-27 06:20:47,510 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3357 +[2025-02-27 06:20:47,548 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0512 +[2025-02-27 06:20:47,596 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4976 +[2025-02-27 06:20:47,628 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7422 +[2025-02-27 06:20:47,658 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4213 +[2025-02-27 06:20:47,711 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7255 +[2025-02-27 06:20:47,767 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6421 +[2025-02-27 06:20:47,807 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8641 +[2025-02-27 06:20:47,863 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3949 +[2025-02-27 06:20:47,906 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4134 +[2025-02-27 06:20:47,951 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.3676 +[2025-02-27 06:20:47,997 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4707 +[2025-02-27 06:20:48,045 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6360 +[2025-02-27 06:20:48,072 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4530 +[2025-02-27 06:20:48,130 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8152 +[2025-02-27 06:20:48,173 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0448 +[2025-02-27 06:20:48,214 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2404 +[2025-02-27 06:20:48,241 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3240 +[2025-02-27 06:20:48,275 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5381 +[2025-02-27 06:20:48,326 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8519 +[2025-02-27 06:20:48,365 INFO hook.py line 289 1688082] Test: [45/78] Loss 1.0749 +[2025-02-27 06:20:48,416 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0405 +[2025-02-27 06:20:48,454 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3724 +[2025-02-27 06:20:48,492 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9296 +[2025-02-27 06:20:48,523 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1703 +[2025-02-27 06:20:48,554 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9207 +[2025-02-27 06:20:48,582 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.9205 +[2025-02-27 06:20:48,613 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3126 +[2025-02-27 06:20:48,637 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3529 +[2025-02-27 06:20:48,671 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5399 +[2025-02-27 06:20:48,706 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1019 +[2025-02-27 06:20:48,744 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3561 +[2025-02-27 06:20:48,776 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9108 +[2025-02-27 06:20:48,802 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8882 +[2025-02-27 06:20:48,838 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1372 +[2025-02-27 06:20:48,869 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0486 +[2025-02-27 06:20:48,893 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8579 +[2025-02-27 06:20:48,925 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0077 +[2025-02-27 06:20:48,959 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3900 +[2025-02-27 06:20:49,013 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6695 +[2025-02-27 06:20:49,040 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2450 +[2025-02-27 06:20:49,080 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7486 +[2025-02-27 06:20:49,116 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7168 +[2025-02-27 06:20:49,148 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8312 +[2025-02-27 06:20:49,177 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3935 +[2025-02-27 06:20:49,229 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3430 +[2025-02-27 06:20:49,270 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3923 +[2025-02-27 06:20:49,319 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5454 +[2025-02-27 06:20:49,366 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5967 +[2025-02-27 06:20:49,405 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1273 +[2025-02-27 06:20:49,451 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7725 +[2025-02-27 06:20:49,479 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2720 +[2025-02-27 06:20:49,531 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5489 +[2025-02-27 06:20:49,556 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6617 +[2025-02-27 06:20:51,109 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:20:51,110 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:20:51,110 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:20:51,110 INFO hook.py line 232 1688082] wall : 0.7760 0.9088 +[2025-02-27 06:20:51,110 INFO hook.py line 232 1688082] floor : 0.9525 0.9789 +[2025-02-27 06:20:51,110 INFO hook.py line 232 1688082] cabinet : 0.4787 0.6478 +[2025-02-27 06:20:51,110 INFO hook.py line 232 1688082] bed : 0.6792 0.7991 +[2025-02-27 06:20:51,110 INFO hook.py line 232 1688082] chair : 0.8278 0.9087 +[2025-02-27 06:20:51,110 INFO hook.py line 232 1688082] sofa : 0.7321 0.8622 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] table : 0.6386 0.7752 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] door : 0.4606 0.5481 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] window : 0.4237 0.5451 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] bookshelf : 0.6400 0.8337 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] picture : 0.1594 0.2233 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] counter : 0.4728 0.6184 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] desk : 0.4922 0.6575 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] curtain : 0.5180 0.7526 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] refridgerator : 0.3195 0.3425 +[2025-02-27 06:20:51,111 INFO hook.py line 232 1688082] shower curtain : 0.4855 0.5739 +[2025-02-27 06:20:51,112 INFO hook.py line 232 1688082] toilet : 0.7016 0.9371 +[2025-02-27 06:20:51,112 INFO hook.py line 232 1688082] sink : 0.4536 0.5299 +[2025-02-27 06:20:51,112 INFO hook.py line 232 1688082] bathtub : 0.6616 0.8971 +[2025-02-27 06:20:51,112 INFO hook.py line 232 1688082] otherfurniture : 0.3912 0.4940 +[2025-02-27 06:20:51,112 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:20:51,112 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5632/0.6917/0.8424. +[2025-02-27 06:20:51,113 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:20:51,130 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5765 +[2025-02-27 06:20:51,130 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:21:17,969 INFO hook.py line 109 1688082] Train: [74/100][50/300] Data 0.009 (0.009) Batch 0.364 (0.379) Remain 00:50:47 loss: 0.2133 Lr: 1.10842e-03 +[2025-02-27 06:21:36,457 INFO hook.py line 109 1688082] Train: [74/100][100/300] Data 0.004 (0.008) Batch 0.370 (0.374) Remain 00:49:51 loss: 0.1401 Lr: 1.09562e-03 +[2025-02-27 06:21:55,171 INFO hook.py line 109 1688082] Train: [74/100][150/300] Data 0.008 (0.008) Batch 0.313 (0.374) Remain 00:49:34 loss: 0.4113 Lr: 1.08287e-03 +[2025-02-27 06:22:13,910 INFO hook.py line 109 1688082] Train: [74/100][200/300] Data 0.005 (0.008) Batch 0.244 (0.374) Remain 00:49:16 loss: 0.3852 Lr: 1.07019e-03 +[2025-02-27 06:22:32,233 INFO hook.py line 109 1688082] Train: [74/100][250/300] Data 0.004 (0.008) Batch 0.424 (0.373) Remain 00:48:45 loss: 0.1476 Lr: 1.05756e-03 +[2025-02-27 06:22:45,861 INFO hook.py line 109 1688082] Train: [74/100][300/300] Data 0.001 (0.008) Batch 0.179 (0.356) Remain 00:46:15 loss: 0.3803 Lr: 1.04499e-03 +[2025-02-27 06:22:45,862 INFO misc.py line 135 1688082] Train result: loss: 0.2902 +[2025-02-27 06:22:45,952 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:22:59,436 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4551 +[2025-02-27 06:22:59,570 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.7130 +[2025-02-27 06:23:00,209 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7540 +[2025-02-27 06:23:00,267 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8369 +[2025-02-27 06:23:00,310 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7051 +[2025-02-27 06:23:00,365 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9561 +[2025-02-27 06:23:00,583 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7390 +[2025-02-27 06:23:00,634 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4995 +[2025-02-27 06:23:00,684 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4308 +[2025-02-27 06:23:00,723 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.7293 +[2025-02-27 06:23:00,777 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8479 +[2025-02-27 06:23:00,823 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3868 +[2025-02-27 06:23:00,877 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5573 +[2025-02-27 06:23:00,922 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3416 +[2025-02-27 06:23:01,090 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.5849 +[2025-02-27 06:23:01,400 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3252 +[2025-02-27 06:23:01,442 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8070 +[2025-02-27 06:23:01,483 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2960 +[2025-02-27 06:23:01,531 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3991 +[2025-02-27 06:23:01,566 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1916 +[2025-02-27 06:23:01,606 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3098 +[2025-02-27 06:23:01,650 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6271 +[2025-02-27 06:23:01,688 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.3386 +[2025-02-27 06:23:01,729 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1120 +[2025-02-27 06:23:01,777 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3395 +[2025-02-27 06:23:01,822 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9384 +[2025-02-27 06:23:01,869 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6338 +[2025-02-27 06:23:01,906 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6229 +[2025-02-27 06:23:01,945 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3942 +[2025-02-27 06:23:02,001 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7914 +[2025-02-27 06:23:02,061 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7559 +[2025-02-27 06:23:02,105 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0431 +[2025-02-27 06:23:02,155 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3143 +[2025-02-27 06:23:02,198 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3716 +[2025-02-27 06:23:02,241 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4802 +[2025-02-27 06:23:02,286 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4679 +[2025-02-27 06:23:02,332 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6561 +[2025-02-27 06:23:02,367 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3974 +[2025-02-27 06:23:02,431 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8136 +[2025-02-27 06:23:02,485 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1546 +[2025-02-27 06:23:02,534 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2233 +[2025-02-27 06:23:02,568 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3321 +[2025-02-27 06:23:02,610 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4478 +[2025-02-27 06:23:02,669 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7422 +[2025-02-27 06:23:02,709 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9165 +[2025-02-27 06:23:02,762 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0761 +[2025-02-27 06:23:02,807 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.5133 +[2025-02-27 06:23:02,848 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9205 +[2025-02-27 06:23:02,888 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.3232 +[2025-02-27 06:23:02,926 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1081 +[2025-02-27 06:23:02,963 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.1823 +[2025-02-27 06:23:03,004 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3225 +[2025-02-27 06:23:03,040 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4601 +[2025-02-27 06:23:03,081 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5973 +[2025-02-27 06:23:03,124 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0803 +[2025-02-27 06:23:03,170 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3196 +[2025-02-27 06:23:03,210 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8227 +[2025-02-27 06:23:03,243 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9030 +[2025-02-27 06:23:03,289 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1776 +[2025-02-27 06:23:03,330 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0044 +[2025-02-27 06:23:03,364 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8746 +[2025-02-27 06:23:03,406 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9474 +[2025-02-27 06:23:03,450 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3378 +[2025-02-27 06:23:03,512 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7739 +[2025-02-27 06:23:03,548 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0534 +[2025-02-27 06:23:03,594 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.6994 +[2025-02-27 06:23:03,639 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.9626 +[2025-02-27 06:23:03,680 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0983 +[2025-02-27 06:23:03,717 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3614 +[2025-02-27 06:23:03,776 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4434 +[2025-02-27 06:23:03,824 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4416 +[2025-02-27 06:23:03,881 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5657 +[2025-02-27 06:23:03,935 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5387 +[2025-02-27 06:23:03,981 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2602 +[2025-02-27 06:23:04,035 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.9147 +[2025-02-27 06:23:04,071 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.3693 +[2025-02-27 06:23:04,130 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5648 +[2025-02-27 06:23:04,163 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5650 +[2025-02-27 06:23:05,728 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:23:05,728 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:23:05,728 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:23:05,728 INFO hook.py line 232 1688082] wall : 0.7736 0.9309 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] floor : 0.9501 0.9823 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] cabinet : 0.4625 0.6334 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] bed : 0.6758 0.7721 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] chair : 0.8371 0.9159 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] sofa : 0.7563 0.8462 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] table : 0.6276 0.7770 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] door : 0.4329 0.5063 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] window : 0.4103 0.5301 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] bookshelf : 0.6545 0.7714 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] picture : 0.1452 0.1892 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] counter : 0.4152 0.5787 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] desk : 0.4892 0.6599 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] curtain : 0.5071 0.5751 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] refridgerator : 0.3218 0.3473 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] shower curtain : 0.4050 0.5038 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] toilet : 0.7593 0.9300 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] sink : 0.4890 0.6956 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] bathtub : 0.7207 0.8274 +[2025-02-27 06:23:05,729 INFO hook.py line 232 1688082] otherfurniture : 0.3944 0.4942 +[2025-02-27 06:23:05,729 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:23:05,729 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5614/0.6733/0.8416. +[2025-02-27 06:23:05,729 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:23:05,742 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5765 +[2025-02-27 06:23:05,743 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:23:30,124 INFO hook.py line 109 1688082] Train: [75/100][50/300] Data 0.003 (0.007) Batch 0.316 (0.328) Remain 00:42:18 loss: 0.2898 Lr: 1.03249e-03 +[2025-02-27 06:23:45,394 INFO hook.py line 109 1688082] Train: [75/100][100/300] Data 0.004 (0.006) Batch 0.333 (0.316) Remain 00:40:34 loss: 0.1056 Lr: 1.02004e-03 +[2025-02-27 06:24:08,687 INFO hook.py line 109 1688082] Train: [75/100][150/300] Data 0.004 (0.007) Batch 0.256 (0.367) Remain 00:46:48 loss: 0.0714 Lr: 1.00765e-03 +[2025-02-27 06:24:26,546 INFO hook.py line 109 1688082] Train: [75/100][200/300] Data 0.004 (0.007) Batch 0.334 (0.365) Remain 00:46:10 loss: 0.1985 Lr: 9.95321e-04 +[2025-02-27 06:24:45,198 INFO hook.py line 109 1688082] Train: [75/100][250/300] Data 0.009 (0.007) Batch 0.307 (0.366) Remain 00:46:05 loss: 0.3618 Lr: 9.83055e-04 +[2025-02-27 06:24:58,383 INFO hook.py line 109 1688082] Train: [75/100][300/300] Data 0.002 (0.007) Batch 0.201 (0.349) Remain 00:43:37 loss: 0.3147 Lr: 9.70849e-04 +[2025-02-27 06:24:58,384 INFO misc.py line 135 1688082] Train result: loss: 0.2709 +[2025-02-27 06:24:58,501 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:25:18,077 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4471 +[2025-02-27 06:25:18,724 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0612 +[2025-02-27 06:25:18,772 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6562 +[2025-02-27 06:25:18,836 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7310 +[2025-02-27 06:25:18,884 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.4641 +[2025-02-27 06:25:18,938 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6359 +[2025-02-27 06:25:18,986 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8354 +[2025-02-27 06:25:19,029 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4722 +[2025-02-27 06:25:19,078 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4186 +[2025-02-27 06:25:19,110 INFO hook.py line 289 1688082] Test: [10/78] Loss 0.9923 +[2025-02-27 06:25:19,154 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7777 +[2025-02-27 06:25:19,195 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2671 +[2025-02-27 06:25:19,246 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5558 +[2025-02-27 06:25:19,292 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4334 +[2025-02-27 06:25:19,333 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9082 +[2025-02-27 06:25:19,392 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1137 +[2025-02-27 06:25:19,432 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.6842 +[2025-02-27 06:25:19,465 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1469 +[2025-02-27 06:25:19,504 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3060 +[2025-02-27 06:25:19,546 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1968 +[2025-02-27 06:25:19,580 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3334 +[2025-02-27 06:25:19,619 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6137 +[2025-02-27 06:25:19,648 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0623 +[2025-02-27 06:25:19,695 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3386 +[2025-02-27 06:25:19,736 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.0086 +[2025-02-27 06:25:19,781 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0328 +[2025-02-27 06:25:19,828 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4751 +[2025-02-27 06:25:19,860 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8209 +[2025-02-27 06:25:19,889 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4401 +[2025-02-27 06:25:19,939 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6413 +[2025-02-27 06:25:20,001 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7024 +[2025-02-27 06:25:20,037 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7861 +[2025-02-27 06:25:20,100 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3296 +[2025-02-27 06:25:20,143 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3803 +[2025-02-27 06:25:20,190 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5407 +[2025-02-27 06:25:20,230 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4653 +[2025-02-27 06:25:20,266 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6855 +[2025-02-27 06:25:20,302 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3291 +[2025-02-27 06:25:20,360 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.4291 +[2025-02-27 06:25:20,406 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.0054 +[2025-02-27 06:25:20,448 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2072 +[2025-02-27 06:25:20,475 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2919 +[2025-02-27 06:25:20,509 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5836 +[2025-02-27 06:25:20,561 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6416 +[2025-02-27 06:25:20,592 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9129 +[2025-02-27 06:25:20,643 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9541 +[2025-02-27 06:25:20,681 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1774 +[2025-02-27 06:25:20,718 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9405 +[2025-02-27 06:25:20,750 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0494 +[2025-02-27 06:25:20,780 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9779 +[2025-02-27 06:25:20,808 INFO hook.py line 289 1688082] Test: [51/78] Loss 0.9869 +[2025-02-27 06:25:20,840 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3668 +[2025-02-27 06:25:20,864 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4680 +[2025-02-27 06:25:20,898 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5519 +[2025-02-27 06:25:20,933 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0716 +[2025-02-27 06:25:20,971 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3130 +[2025-02-27 06:25:21,003 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9977 +[2025-02-27 06:25:21,029 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9067 +[2025-02-27 06:25:21,066 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0020 +[2025-02-27 06:25:21,097 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9913 +[2025-02-27 06:25:21,121 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8706 +[2025-02-27 06:25:21,151 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1131 +[2025-02-27 06:25:21,186 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4909 +[2025-02-27 06:25:21,241 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7155 +[2025-02-27 06:25:21,267 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0771 +[2025-02-27 06:25:21,306 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8220 +[2025-02-27 06:25:21,342 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6834 +[2025-02-27 06:25:21,375 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9548 +[2025-02-27 06:25:21,405 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3678 +[2025-02-27 06:25:21,457 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2602 +[2025-02-27 06:25:21,497 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4122 +[2025-02-27 06:25:21,545 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4086 +[2025-02-27 06:25:21,590 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4949 +[2025-02-27 06:25:21,630 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2606 +[2025-02-27 06:25:21,677 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8080 +[2025-02-27 06:25:21,711 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2629 +[2025-02-27 06:25:21,762 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6077 +[2025-02-27 06:25:21,789 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5951 +[2025-02-27 06:25:23,230 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:25:23,230 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:25:23,230 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:25:23,230 INFO hook.py line 232 1688082] wall : 0.7825 0.9057 +[2025-02-27 06:25:23,230 INFO hook.py line 232 1688082] floor : 0.9527 0.9822 +[2025-02-27 06:25:23,230 INFO hook.py line 232 1688082] cabinet : 0.4845 0.5937 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] bed : 0.6775 0.7789 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] chair : 0.8406 0.9393 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] sofa : 0.7273 0.8115 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] table : 0.6181 0.7695 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] door : 0.4796 0.6455 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] window : 0.4193 0.5195 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] bookshelf : 0.6619 0.7991 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] picture : 0.1628 0.2178 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] counter : 0.5031 0.7671 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] desk : 0.5082 0.6606 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] curtain : 0.5430 0.7218 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] refridgerator : 0.3858 0.4454 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] shower curtain : 0.4566 0.5249 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] toilet : 0.8311 0.9101 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] sink : 0.5006 0.6773 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] bathtub : 0.7239 0.8953 +[2025-02-27 06:25:23,231 INFO hook.py line 232 1688082] otherfurniture : 0.4330 0.5672 +[2025-02-27 06:25:23,231 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:25:23,231 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5846/0.7066/0.8474. +[2025-02-27 06:25:23,232 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:25:23,250 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5846 +[2025-02-27 06:25:23,250 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5846 +[2025-02-27 06:25:23,250 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:25:51,199 INFO hook.py line 109 1688082] Train: [76/100][50/300] Data 0.006 (0.013) Batch 0.302 (0.376) Remain 00:46:40 loss: 0.3773 Lr: 9.58705e-04 +[2025-02-27 06:26:09,470 INFO hook.py line 109 1688082] Train: [76/100][100/300] Data 0.010 (0.010) Batch 0.424 (0.370) Remain 00:45:41 loss: 0.3921 Lr: 9.46623e-04 +[2025-02-27 06:26:28,065 INFO hook.py line 109 1688082] Train: [76/100][150/300] Data 0.004 (0.010) Batch 0.337 (0.371) Remain 00:45:26 loss: 0.5495 Lr: 9.34603e-04 +[2025-02-27 06:26:46,146 INFO hook.py line 109 1688082] Train: [76/100][200/300] Data 0.005 (0.009) Batch 0.284 (0.369) Remain 00:44:50 loss: 0.4311 Lr: 9.22647e-04 +[2025-02-27 06:26:59,202 INFO hook.py line 109 1688082] Train: [76/100][250/300] Data 0.003 (0.008) Batch 0.256 (0.347) Remain 00:41:54 loss: 0.3328 Lr: 9.10753e-04 +[2025-02-27 06:27:13,701 INFO hook.py line 109 1688082] Train: [76/100][300/300] Data 0.006 (0.007) Batch 0.298 (0.337) Remain 00:40:28 loss: 0.3665 Lr: 8.98923e-04 +[2025-02-27 06:27:13,706 INFO misc.py line 135 1688082] Train result: loss: 0.2788 +[2025-02-27 06:27:13,854 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:27:40,463 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4428 +[2025-02-27 06:27:40,511 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8504 +[2025-02-27 06:27:40,558 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6306 +[2025-02-27 06:27:40,608 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6802 +[2025-02-27 06:27:40,649 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6576 +[2025-02-27 06:27:40,713 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7739 +[2025-02-27 06:27:40,775 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8429 +[2025-02-27 06:27:40,814 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5162 +[2025-02-27 06:27:40,868 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3724 +[2025-02-27 06:27:40,919 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.7372 +[2025-02-27 06:27:41,595 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7182 +[2025-02-27 06:27:47,555 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3751 +[2025-02-27 06:27:47,601 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4073 +[2025-02-27 06:27:47,957 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.1717 +[2025-02-27 06:27:48,161 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0083 +[2025-02-27 06:27:48,228 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2105 +[2025-02-27 06:27:48,264 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8206 +[2025-02-27 06:27:48,294 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0127 +[2025-02-27 06:27:48,335 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4718 +[2025-02-27 06:27:48,367 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2222 +[2025-02-27 06:27:48,402 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3290 +[2025-02-27 06:27:48,451 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.5923 +[2025-02-27 06:27:48,493 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1028 +[2025-02-27 06:27:48,543 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2816 +[2025-02-27 06:27:48,582 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5290 +[2025-02-27 06:27:48,619 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1537 +[2025-02-27 06:27:48,679 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5444 +[2025-02-27 06:27:48,715 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7073 +[2025-02-27 06:27:48,750 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3863 +[2025-02-27 06:27:48,802 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6556 +[2025-02-27 06:27:48,855 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6004 +[2025-02-27 06:27:48,892 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.7665 +[2025-02-27 06:27:48,942 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2773 +[2025-02-27 06:27:48,978 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4487 +[2025-02-27 06:27:49,013 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5244 +[2025-02-27 06:27:49,049 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.2104 +[2025-02-27 06:27:49,083 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5757 +[2025-02-27 06:27:49,118 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3174 +[2025-02-27 06:27:49,174 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.2640 +[2025-02-27 06:27:49,216 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.3441 +[2025-02-27 06:27:49,255 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.4310 +[2025-02-27 06:27:49,282 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3331 +[2025-02-27 06:27:49,316 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.8039 +[2025-02-27 06:27:49,367 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7646 +[2025-02-27 06:27:49,398 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8937 +[2025-02-27 06:27:49,451 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9212 +[2025-02-27 06:27:49,487 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1375 +[2025-02-27 06:27:49,518 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8211 +[2025-02-27 06:27:49,549 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.6897 +[2025-02-27 06:27:49,581 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9143 +[2025-02-27 06:27:49,608 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2714 +[2025-02-27 06:27:49,640 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3067 +[2025-02-27 06:27:49,664 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4841 +[2025-02-27 06:27:49,698 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5986 +[2025-02-27 06:27:49,734 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.2366 +[2025-02-27 06:27:49,771 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.4163 +[2025-02-27 06:27:49,801 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9774 +[2025-02-27 06:27:49,826 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0044 +[2025-02-27 06:27:49,864 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0661 +[2025-02-27 06:27:49,896 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1154 +[2025-02-27 06:27:49,922 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9143 +[2025-02-27 06:27:49,955 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0475 +[2025-02-27 06:27:49,989 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.6033 +[2025-02-27 06:27:50,042 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.9420 +[2025-02-27 06:27:50,070 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1778 +[2025-02-27 06:27:50,107 INFO hook.py line 289 1688082] Test: [66/78] Loss 1.0054 +[2025-02-27 06:27:50,144 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5983 +[2025-02-27 06:27:50,176 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8272 +[2025-02-27 06:27:50,204 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3710 +[2025-02-27 06:27:50,254 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5189 +[2025-02-27 06:27:50,295 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.0336 +[2025-02-27 06:27:50,343 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4111 +[2025-02-27 06:27:50,389 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5980 +[2025-02-27 06:27:50,428 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4213 +[2025-02-27 06:27:50,474 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7672 +[2025-02-27 06:27:50,502 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9236 +[2025-02-27 06:27:50,553 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6534 +[2025-02-27 06:27:50,578 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6561 +[2025-02-27 06:27:51,900 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:27:51,900 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:27:51,900 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] wall : 0.7630 0.8672 +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] floor : 0.9526 0.9796 +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] cabinet : 0.4654 0.5564 +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] bed : 0.6719 0.7668 +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] chair : 0.8470 0.9149 +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] sofa : 0.7400 0.8666 +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] table : 0.6336 0.7526 +[2025-02-27 06:27:51,900 INFO hook.py line 232 1688082] door : 0.4635 0.6965 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] window : 0.4512 0.6059 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] bookshelf : 0.5948 0.9094 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] picture : 0.1555 0.2236 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] counter : 0.4705 0.6743 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] desk : 0.4929 0.7088 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] curtain : 0.5770 0.6995 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] refridgerator : 0.3521 0.3990 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] shower curtain : 0.4767 0.5482 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] toilet : 0.7505 0.9308 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] sink : 0.4579 0.7415 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] bathtub : 0.7001 0.8582 +[2025-02-27 06:27:51,901 INFO hook.py line 232 1688082] otherfurniture : 0.4162 0.5446 +[2025-02-27 06:27:51,901 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:27:51,901 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5716/0.7122/0.8390. +[2025-02-27 06:27:51,902 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:27:51,924 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5846 +[2025-02-27 06:27:51,925 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:28:18,404 INFO hook.py line 109 1688082] Train: [77/100][50/300] Data 0.015 (0.008) Batch 0.361 (0.385) Remain 00:45:49 loss: 0.7239 Lr: 8.87156e-04 +[2025-02-27 06:28:37,136 INFO hook.py line 109 1688082] Train: [77/100][100/300] Data 0.007 (0.008) Batch 0.313 (0.379) Remain 00:44:54 loss: 0.8076 Lr: 8.75454e-04 +[2025-02-27 06:28:55,394 INFO hook.py line 109 1688082] Train: [77/100][150/300] Data 0.004 (0.008) Batch 0.272 (0.375) Remain 00:44:00 loss: 0.3869 Lr: 8.63816e-04 +[2025-02-27 06:29:14,034 INFO hook.py line 109 1688082] Train: [77/100][200/300] Data 0.006 (0.008) Batch 0.361 (0.374) Remain 00:43:38 loss: 0.2353 Lr: 8.52244e-04 +[2025-02-27 06:29:32,316 INFO hook.py line 109 1688082] Train: [77/100][250/300] Data 0.005 (0.008) Batch 0.478 (0.372) Remain 00:43:08 loss: 0.1083 Lr: 8.40736e-04 +[2025-02-27 06:29:45,999 INFO hook.py line 109 1688082] Train: [77/100][300/300] Data 0.003 (0.007) Batch 0.209 (0.356) Remain 00:40:54 loss: 0.0333 Lr: 8.29294e-04 +[2025-02-27 06:29:45,999 INFO misc.py line 135 1688082] Train result: loss: 0.2686 +[2025-02-27 06:29:46,093 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:30:05,528 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3750 +[2025-02-27 06:30:05,575 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0811 +[2025-02-27 06:30:05,614 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8517 +[2025-02-27 06:30:05,674 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7616 +[2025-02-27 06:30:05,712 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7232 +[2025-02-27 06:30:05,770 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7846 +[2025-02-27 06:30:05,820 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8672 +[2025-02-27 06:30:05,855 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4421 +[2025-02-27 06:30:05,975 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3971 +[2025-02-27 06:30:06,009 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3599 +[2025-02-27 06:30:06,329 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8419 +[2025-02-27 06:30:06,362 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3768 +[2025-02-27 06:30:06,408 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5710 +[2025-02-27 06:30:06,447 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3652 +[2025-02-27 06:30:06,493 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9843 +[2025-02-27 06:30:06,706 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2300 +[2025-02-27 06:30:06,750 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7042 +[2025-02-27 06:30:06,789 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2817 +[2025-02-27 06:30:06,839 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5886 +[2025-02-27 06:30:06,875 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1992 +[2025-02-27 06:30:06,912 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3205 +[2025-02-27 06:30:06,950 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.9496 +[2025-02-27 06:30:06,978 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0848 +[2025-02-27 06:30:07,035 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3507 +[2025-02-27 06:30:07,076 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1054 +[2025-02-27 06:30:07,123 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0758 +[2025-02-27 06:30:07,171 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3689 +[2025-02-27 06:30:07,205 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7993 +[2025-02-27 06:30:07,235 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3899 +[2025-02-27 06:30:07,289 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.5289 +[2025-02-27 06:30:07,343 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7030 +[2025-02-27 06:30:07,381 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0231 +[2025-02-27 06:30:07,433 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2684 +[2025-02-27 06:30:07,468 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3993 +[2025-02-27 06:30:07,504 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.3986 +[2025-02-27 06:30:07,544 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4554 +[2025-02-27 06:30:07,588 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.4841 +[2025-02-27 06:30:07,624 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3900 +[2025-02-27 06:30:07,681 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5640 +[2025-02-27 06:30:07,725 INFO hook.py line 289 1688082] Test: [40/78] Loss 1.9530 +[2025-02-27 06:30:07,766 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3108 +[2025-02-27 06:30:07,794 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4216 +[2025-02-27 06:30:07,827 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6158 +[2025-02-27 06:30:07,883 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8182 +[2025-02-27 06:30:07,916 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9458 +[2025-02-27 06:30:07,960 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8959 +[2025-02-27 06:30:07,996 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.3394 +[2025-02-27 06:30:08,027 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8191 +[2025-02-27 06:30:08,065 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2397 +[2025-02-27 06:30:08,102 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1167 +[2025-02-27 06:30:08,130 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0480 +[2025-02-27 06:30:08,163 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.4489 +[2025-02-27 06:30:08,189 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4321 +[2025-02-27 06:30:08,222 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4853 +[2025-02-27 06:30:08,256 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0810 +[2025-02-27 06:30:08,294 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2798 +[2025-02-27 06:30:08,324 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8245 +[2025-02-27 06:30:08,349 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9861 +[2025-02-27 06:30:08,387 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0980 +[2025-02-27 06:30:08,419 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0449 +[2025-02-27 06:30:08,443 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9291 +[2025-02-27 06:30:08,476 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0920 +[2025-02-27 06:30:08,510 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4749 +[2025-02-27 06:30:08,564 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8699 +[2025-02-27 06:30:08,591 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.3269 +[2025-02-27 06:30:08,629 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8191 +[2025-02-27 06:30:08,667 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.7162 +[2025-02-27 06:30:08,699 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9245 +[2025-02-27 06:30:08,728 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3440 +[2025-02-27 06:30:08,781 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.2069 +[2025-02-27 06:30:08,822 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3303 +[2025-02-27 06:30:08,870 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4116 +[2025-02-27 06:30:08,917 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5687 +[2025-02-27 06:30:08,955 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1070 +[2025-02-27 06:30:09,000 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8384 +[2025-02-27 06:30:09,028 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1279 +[2025-02-27 06:30:09,080 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5754 +[2025-02-27 06:30:09,107 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.7399 +[2025-02-27 06:30:10,646 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:30:10,647 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:30:10,647 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] wall : 0.7732 0.9163 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] floor : 0.9529 0.9769 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] cabinet : 0.4852 0.5880 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] bed : 0.6466 0.7253 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] chair : 0.8370 0.9335 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] sofa : 0.7323 0.8362 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] table : 0.6435 0.7117 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] door : 0.4710 0.5909 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] window : 0.4163 0.5369 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] bookshelf : 0.6860 0.8180 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] picture : 0.1730 0.2494 +[2025-02-27 06:30:10,647 INFO hook.py line 232 1688082] counter : 0.5013 0.6821 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] desk : 0.5103 0.7470 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] curtain : 0.5766 0.7458 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] refridgerator : 0.3434 0.4209 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] shower curtain : 0.4079 0.4428 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] toilet : 0.8020 0.9225 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] sink : 0.4941 0.6945 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] bathtub : 0.7706 0.8187 +[2025-02-27 06:30:10,648 INFO hook.py line 232 1688082] otherfurniture : 0.4063 0.5618 +[2025-02-27 06:30:10,648 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:30:10,648 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5815/0.6960/0.8448. +[2025-02-27 06:30:10,648 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:30:10,681 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5846 +[2025-02-27 06:30:10,681 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:30:32,654 INFO hook.py line 109 1688082] Train: [78/100][50/300] Data 0.004 (0.005) Batch 0.258 (0.282) Remain 00:32:13 loss: 0.3207 Lr: 8.17918e-04 +[2025-02-27 06:30:49,121 INFO hook.py line 109 1688082] Train: [78/100][100/300] Data 0.018 (0.005) Batch 0.379 (0.306) Remain 00:34:44 loss: 0.3343 Lr: 8.06609e-04 +[2025-02-27 06:31:09,474 INFO hook.py line 109 1688082] Train: [78/100][150/300] Data 0.014 (0.006) Batch 0.345 (0.341) Remain 00:38:19 loss: 0.0509 Lr: 7.95366e-04 +[2025-02-27 06:31:28,058 INFO hook.py line 109 1688082] Train: [78/100][200/300] Data 0.014 (0.006) Batch 0.503 (0.349) Remain 00:38:55 loss: 0.0754 Lr: 7.84190e-04 +[2025-02-27 06:31:48,071 INFO hook.py line 109 1688082] Train: [78/100][250/300] Data 0.004 (0.006) Batch 0.337 (0.359) Remain 00:39:47 loss: 0.1662 Lr: 7.73081e-04 +[2025-02-27 06:32:01,653 INFO hook.py line 109 1688082] Train: [78/100][300/300] Data 0.001 (0.006) Batch 0.207 (0.344) Remain 00:37:52 loss: 0.1832 Lr: 7.62040e-04 +[2025-02-27 06:32:01,654 INFO misc.py line 135 1688082] Train result: loss: 0.2620 +[2025-02-27 06:32:01,755 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:32:20,932 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3746 +[2025-02-27 06:32:20,982 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0736 +[2025-02-27 06:32:21,023 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5734 +[2025-02-27 06:32:21,073 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7213 +[2025-02-27 06:32:21,114 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7067 +[2025-02-27 06:32:21,173 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7744 +[2025-02-27 06:32:21,227 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8638 +[2025-02-27 06:32:21,531 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.3878 +[2025-02-27 06:32:21,585 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3572 +[2025-02-27 06:32:21,944 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.8715 +[2025-02-27 06:32:22,008 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7451 +[2025-02-27 06:32:22,041 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3053 +[2025-02-27 06:32:22,088 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.1620 +[2025-02-27 06:32:22,129 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5733 +[2025-02-27 06:32:22,176 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.2571 +[2025-02-27 06:32:22,218 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2620 +[2025-02-27 06:32:22,254 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7803 +[2025-02-27 06:32:22,285 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2621 +[2025-02-27 06:32:22,325 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3996 +[2025-02-27 06:32:22,359 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2362 +[2025-02-27 06:32:22,394 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3245 +[2025-02-27 06:32:22,432 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7195 +[2025-02-27 06:32:22,468 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.2520 +[2025-02-27 06:32:22,512 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2124 +[2025-02-27 06:32:22,560 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3584 +[2025-02-27 06:32:22,598 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0961 +[2025-02-27 06:32:22,647 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5629 +[2025-02-27 06:32:22,681 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7558 +[2025-02-27 06:32:22,718 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3960 +[2025-02-27 06:32:22,771 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.5916 +[2025-02-27 06:32:22,830 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6728 +[2025-02-27 06:32:22,865 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9004 +[2025-02-27 06:32:22,914 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2370 +[2025-02-27 06:32:22,949 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2938 +[2025-02-27 06:32:22,984 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6931 +[2025-02-27 06:32:23,028 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4634 +[2025-02-27 06:32:23,068 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5548 +[2025-02-27 06:32:23,098 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3347 +[2025-02-27 06:32:23,154 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6647 +[2025-02-27 06:32:23,206 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1205 +[2025-02-27 06:32:23,247 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2887 +[2025-02-27 06:32:23,274 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2512 +[2025-02-27 06:32:23,309 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6163 +[2025-02-27 06:32:23,364 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7540 +[2025-02-27 06:32:23,398 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.6657 +[2025-02-27 06:32:23,440 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0452 +[2025-02-27 06:32:23,477 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.4298 +[2025-02-27 06:32:23,511 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7491 +[2025-02-27 06:32:23,543 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0580 +[2025-02-27 06:32:23,573 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.8720 +[2025-02-27 06:32:23,601 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.7133 +[2025-02-27 06:32:23,634 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2851 +[2025-02-27 06:32:23,660 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5826 +[2025-02-27 06:32:23,694 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4857 +[2025-02-27 06:32:23,729 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0688 +[2025-02-27 06:32:23,767 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3038 +[2025-02-27 06:32:23,798 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9353 +[2025-02-27 06:32:23,824 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9527 +[2025-02-27 06:32:23,861 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.2076 +[2025-02-27 06:32:23,893 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1197 +[2025-02-27 06:32:23,918 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8909 +[2025-02-27 06:32:23,951 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8576 +[2025-02-27 06:32:23,985 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4816 +[2025-02-27 06:32:24,038 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7033 +[2025-02-27 06:32:24,074 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2546 +[2025-02-27 06:32:24,111 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7359 +[2025-02-27 06:32:24,149 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6347 +[2025-02-27 06:32:24,181 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8219 +[2025-02-27 06:32:24,210 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3392 +[2025-02-27 06:32:24,261 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4836 +[2025-02-27 06:32:24,302 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.2489 +[2025-02-27 06:32:24,351 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4279 +[2025-02-27 06:32:24,396 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5097 +[2025-02-27 06:32:24,435 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1961 +[2025-02-27 06:32:24,481 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7647 +[2025-02-27 06:32:24,509 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1929 +[2025-02-27 06:32:24,564 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6513 +[2025-02-27 06:32:24,590 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6976 +[2025-02-27 06:32:25,909 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:32:25,909 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:32:25,909 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] wall : 0.7795 0.9119 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] floor : 0.9516 0.9781 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] cabinet : 0.4734 0.6432 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] bed : 0.6996 0.7911 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] chair : 0.8460 0.9101 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] sofa : 0.7459 0.8901 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] table : 0.6317 0.7568 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] door : 0.4889 0.6291 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] window : 0.4439 0.5662 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] bookshelf : 0.6676 0.8201 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] picture : 0.1594 0.2420 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] counter : 0.4516 0.5497 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] desk : 0.4666 0.7085 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] curtain : 0.5467 0.6241 +[2025-02-27 06:32:25,909 INFO hook.py line 232 1688082] refridgerator : 0.3401 0.4352 +[2025-02-27 06:32:25,910 INFO hook.py line 232 1688082] shower curtain : 0.5256 0.6433 +[2025-02-27 06:32:25,910 INFO hook.py line 232 1688082] toilet : 0.7871 0.9364 +[2025-02-27 06:32:25,910 INFO hook.py line 232 1688082] sink : 0.4916 0.5544 +[2025-02-27 06:32:25,910 INFO hook.py line 232 1688082] bathtub : 0.7663 0.8504 +[2025-02-27 06:32:25,910 INFO hook.py line 232 1688082] otherfurniture : 0.4312 0.5293 +[2025-02-27 06:32:25,910 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:32:25,910 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5847/0.6985/0.8472. +[2025-02-27 06:32:25,910 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:32:25,923 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5847 +[2025-02-27 06:32:25,924 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5847 +[2025-02-27 06:32:25,924 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:32:53,146 INFO hook.py line 109 1688082] Train: [79/100][50/300] Data 0.004 (0.007) Batch 0.302 (0.380) Remain 00:41:31 loss: 0.0822 Lr: 7.51067e-04 +[2025-02-27 06:33:11,844 INFO hook.py line 109 1688082] Train: [79/100][100/300] Data 0.005 (0.007) Batch 0.372 (0.377) Remain 00:40:51 loss: 0.1530 Lr: 7.40162e-04 +[2025-02-27 06:33:30,135 INFO hook.py line 109 1688082] Train: [79/100][150/300] Data 0.011 (0.007) Batch 0.326 (0.373) Remain 00:40:07 loss: 0.1765 Lr: 7.29326e-04 +[2025-02-27 06:33:48,838 INFO hook.py line 109 1688082] Train: [79/100][200/300] Data 0.006 (0.007) Batch 0.425 (0.373) Remain 00:39:50 loss: 0.3821 Lr: 7.18559e-04 +[2025-02-27 06:34:07,137 INFO hook.py line 109 1688082] Train: [79/100][250/300] Data 0.006 (0.007) Batch 0.348 (0.372) Remain 00:39:21 loss: 0.1957 Lr: 7.07861e-04 +[2025-02-27 06:34:20,969 INFO hook.py line 109 1688082] Train: [79/100][300/300] Data 0.001 (0.007) Batch 0.188 (0.356) Remain 00:37:22 loss: 0.2579 Lr: 6.97233e-04 +[2025-02-27 06:34:20,969 INFO misc.py line 135 1688082] Train result: loss: 0.2373 +[2025-02-27 06:34:21,059 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:34:34,078 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4614 +[2025-02-27 06:34:34,310 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0458 +[2025-02-27 06:34:34,345 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.8310 +[2025-02-27 06:34:34,772 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7287 +[2025-02-27 06:34:34,808 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6401 +[2025-02-27 06:34:35,180 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8439 +[2025-02-27 06:34:35,226 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8787 +[2025-02-27 06:34:35,259 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5235 +[2025-02-27 06:34:35,297 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.4476 +[2025-02-27 06:34:35,339 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5046 +[2025-02-27 06:34:35,380 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7385 +[2025-02-27 06:34:35,408 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.4316 +[2025-02-27 06:34:35,453 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.0896 +[2025-02-27 06:34:35,487 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4030 +[2025-02-27 06:34:35,522 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0672 +[2025-02-27 06:34:35,563 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.0759 +[2025-02-27 06:34:35,598 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7852 +[2025-02-27 06:34:35,634 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0912 +[2025-02-27 06:34:35,674 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3609 +[2025-02-27 06:34:35,706 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2176 +[2025-02-27 06:34:35,738 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3132 +[2025-02-27 06:34:35,776 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8071 +[2025-02-27 06:34:35,805 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1254 +[2025-02-27 06:34:35,844 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1682 +[2025-02-27 06:34:35,882 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.5063 +[2025-02-27 06:34:35,927 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.1504 +[2025-02-27 06:34:35,973 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.3536 +[2025-02-27 06:34:36,004 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7123 +[2025-02-27 06:34:36,029 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4500 +[2025-02-27 06:34:36,081 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.5557 +[2025-02-27 06:34:36,133 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6117 +[2025-02-27 06:34:36,164 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.8900 +[2025-02-27 06:34:36,213 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2461 +[2025-02-27 06:34:36,247 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3352 +[2025-02-27 06:34:36,280 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4923 +[2025-02-27 06:34:36,318 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4804 +[2025-02-27 06:34:36,352 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5438 +[2025-02-27 06:34:36,379 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3281 +[2025-02-27 06:34:36,434 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6997 +[2025-02-27 06:34:36,475 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2427 +[2025-02-27 06:34:36,514 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2221 +[2025-02-27 06:34:36,548 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4037 +[2025-02-27 06:34:36,585 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.7269 +[2025-02-27 06:34:36,636 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7886 +[2025-02-27 06:34:36,668 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.7720 +[2025-02-27 06:34:36,710 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0715 +[2025-02-27 06:34:36,745 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.8195 +[2025-02-27 06:34:36,774 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8287 +[2025-02-27 06:34:36,802 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1245 +[2025-02-27 06:34:36,830 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9740 +[2025-02-27 06:34:36,855 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.1566 +[2025-02-27 06:34:36,884 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.1657 +[2025-02-27 06:34:36,907 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4939 +[2025-02-27 06:34:36,937 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.6880 +[2025-02-27 06:34:36,969 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0753 +[2025-02-27 06:34:37,005 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3213 +[2025-02-27 06:34:37,034 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8979 +[2025-02-27 06:34:37,057 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0297 +[2025-02-27 06:34:37,092 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1932 +[2025-02-27 06:34:37,121 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.2061 +[2025-02-27 06:34:37,142 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9452 +[2025-02-27 06:34:37,171 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.1185 +[2025-02-27 06:34:37,203 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5433 +[2025-02-27 06:34:37,255 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8064 +[2025-02-27 06:34:37,279 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.4238 +[2025-02-27 06:34:37,315 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.6929 +[2025-02-27 06:34:37,349 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6169 +[2025-02-27 06:34:37,377 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8562 +[2025-02-27 06:34:37,403 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3886 +[2025-02-27 06:34:37,452 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3555 +[2025-02-27 06:34:37,491 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3891 +[2025-02-27 06:34:37,537 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.3744 +[2025-02-27 06:34:37,581 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.6541 +[2025-02-27 06:34:37,617 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3309 +[2025-02-27 06:34:37,661 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6355 +[2025-02-27 06:34:37,687 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1270 +[2025-02-27 06:34:37,736 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.5998 +[2025-02-27 06:34:37,759 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6290 +[2025-02-27 06:34:39,454 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:34:39,454 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:34:39,454 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:34:39,454 INFO hook.py line 232 1688082] wall : 0.7845 0.9020 +[2025-02-27 06:34:39,454 INFO hook.py line 232 1688082] floor : 0.9507 0.9790 +[2025-02-27 06:34:39,454 INFO hook.py line 232 1688082] cabinet : 0.4715 0.6024 +[2025-02-27 06:34:39,454 INFO hook.py line 232 1688082] bed : 0.6662 0.7892 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] chair : 0.8286 0.9446 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] sofa : 0.7312 0.8086 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] table : 0.6323 0.7689 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] door : 0.4768 0.6203 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] window : 0.4474 0.5732 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] bookshelf : 0.6464 0.8217 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] picture : 0.1512 0.1941 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] counter : 0.4258 0.5056 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] desk : 0.4761 0.6846 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] curtain : 0.6036 0.7411 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] refridgerator : 0.3727 0.4213 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] shower curtain : 0.5734 0.6692 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] toilet : 0.8387 0.9427 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] sink : 0.5085 0.6469 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] bathtub : 0.7232 0.8806 +[2025-02-27 06:34:39,455 INFO hook.py line 232 1688082] otherfurniture : 0.4233 0.5584 +[2025-02-27 06:34:39,455 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:34:39,455 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5866/0.7027/0.8468. +[2025-02-27 06:34:39,455 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:34:39,464 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5866 +[2025-02-27 06:34:39,464 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5866 +[2025-02-27 06:34:39,464 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:35:04,993 INFO hook.py line 109 1688082] Train: [80/100][50/300] Data 0.006 (0.018) Batch 0.281 (0.356) Remain 00:37:02 loss: 0.2001 Lr: 6.86675e-04 +[2025-02-27 06:35:20,375 INFO hook.py line 109 1688082] Train: [80/100][100/300] Data 0.003 (0.011) Batch 0.247 (0.331) Remain 00:34:11 loss: 0.1573 Lr: 6.76187e-04 +[2025-02-27 06:35:39,341 INFO hook.py line 109 1688082] Train: [80/100][150/300] Data 0.013 (0.010) Batch 0.482 (0.347) Remain 00:35:35 loss: 0.1164 Lr: 6.65769e-04 +[2025-02-27 06:35:59,039 INFO hook.py line 109 1688082] Train: [80/100][200/300] Data 0.006 (0.009) Batch 0.327 (0.359) Remain 00:36:30 loss: 0.1666 Lr: 6.55423e-04 +[2025-02-27 06:36:17,284 INFO hook.py line 109 1688082] Train: [80/100][250/300] Data 0.006 (0.009) Batch 0.422 (0.360) Remain 00:36:19 loss: 0.1931 Lr: 6.45148e-04 +[2025-02-27 06:36:31,468 INFO hook.py line 109 1688082] Train: [80/100][300/300] Data 0.002 (0.008) Batch 0.201 (0.347) Remain 00:34:44 loss: 0.0259 Lr: 6.34944e-04 +[2025-02-27 06:36:31,469 INFO misc.py line 135 1688082] Train result: loss: 0.2444 +[2025-02-27 06:36:31,566 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:36:50,637 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3966 +[2025-02-27 06:36:50,913 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0388 +[2025-02-27 06:36:50,974 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6569 +[2025-02-27 06:36:51,033 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7608 +[2025-02-27 06:36:51,194 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7372 +[2025-02-27 06:36:51,247 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.6938 +[2025-02-27 06:36:51,328 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8849 +[2025-02-27 06:36:51,383 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5024 +[2025-02-27 06:36:51,429 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2518 +[2025-02-27 06:36:51,470 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3698 +[2025-02-27 06:36:51,528 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8758 +[2025-02-27 06:36:51,569 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2893 +[2025-02-27 06:36:51,615 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2895 +[2025-02-27 06:36:51,668 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.4357 +[2025-02-27 06:36:51,707 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9238 +[2025-02-27 06:36:51,754 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1754 +[2025-02-27 06:36:51,790 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7365 +[2025-02-27 06:36:51,829 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9265 +[2025-02-27 06:36:51,875 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3303 +[2025-02-27 06:36:51,913 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.3817 +[2025-02-27 06:36:51,948 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3306 +[2025-02-27 06:36:51,996 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8342 +[2025-02-27 06:36:52,035 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9234 +[2025-02-27 06:36:52,085 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3021 +[2025-02-27 06:36:52,134 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2920 +[2025-02-27 06:36:52,173 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8929 +[2025-02-27 06:36:52,221 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5304 +[2025-02-27 06:36:52,253 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7301 +[2025-02-27 06:36:52,283 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4098 +[2025-02-27 06:36:52,335 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.5883 +[2025-02-27 06:36:52,388 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5829 +[2025-02-27 06:36:52,420 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9033 +[2025-02-27 06:36:52,478 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2422 +[2025-02-27 06:36:52,519 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3608 +[2025-02-27 06:36:52,555 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.6014 +[2025-02-27 06:36:52,594 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5332 +[2025-02-27 06:36:52,629 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5704 +[2025-02-27 06:36:52,662 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4091 +[2025-02-27 06:36:52,718 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.8310 +[2025-02-27 06:36:52,762 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1511 +[2025-02-27 06:36:52,803 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1597 +[2025-02-27 06:36:52,832 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3467 +[2025-02-27 06:36:52,869 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6451 +[2025-02-27 06:36:52,923 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8225 +[2025-02-27 06:36:52,964 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9059 +[2025-02-27 06:36:53,014 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1015 +[2025-02-27 06:36:53,050 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.9265 +[2025-02-27 06:36:53,081 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8307 +[2025-02-27 06:36:53,114 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2175 +[2025-02-27 06:36:53,146 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9410 +[2025-02-27 06:36:53,173 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2069 +[2025-02-27 06:36:53,204 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.1473 +[2025-02-27 06:36:53,229 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4693 +[2025-02-27 06:36:53,263 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.2516 +[2025-02-27 06:36:53,299 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0988 +[2025-02-27 06:36:53,337 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2891 +[2025-02-27 06:36:53,370 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8297 +[2025-02-27 06:36:53,397 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8845 +[2025-02-27 06:36:53,434 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.3765 +[2025-02-27 06:36:53,465 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0127 +[2025-02-27 06:36:53,499 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9366 +[2025-02-27 06:36:53,539 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0586 +[2025-02-27 06:36:53,573 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5914 +[2025-02-27 06:36:53,627 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6544 +[2025-02-27 06:36:53,656 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.2268 +[2025-02-27 06:36:53,694 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7281 +[2025-02-27 06:36:53,730 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6080 +[2025-02-27 06:36:53,763 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9902 +[2025-02-27 06:36:53,791 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3434 +[2025-02-27 06:36:53,842 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3916 +[2025-02-27 06:36:53,883 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5186 +[2025-02-27 06:36:53,931 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5696 +[2025-02-27 06:36:53,984 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5318 +[2025-02-27 06:36:54,023 INFO hook.py line 289 1688082] Test: [74/78] Loss 1.9991 +[2025-02-27 06:36:54,069 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7652 +[2025-02-27 06:36:54,097 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1841 +[2025-02-27 06:36:54,149 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6600 +[2025-02-27 06:36:54,175 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6974 +[2025-02-27 06:36:55,783 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:36:55,784 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:36:55,784 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] wall : 0.7816 0.9142 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] floor : 0.9484 0.9753 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] cabinet : 0.4868 0.6364 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] bed : 0.6629 0.8023 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] chair : 0.8317 0.9311 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] sofa : 0.7270 0.8902 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] table : 0.6384 0.7467 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] door : 0.4657 0.5646 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] window : 0.4326 0.5324 +[2025-02-27 06:36:55,784 INFO hook.py line 232 1688082] bookshelf : 0.6818 0.8056 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] picture : 0.1612 0.2932 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] counter : 0.4518 0.5443 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] desk : 0.4939 0.6555 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] curtain : 0.5957 0.8007 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] refridgerator : 0.3759 0.4191 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] shower curtain : 0.5372 0.6312 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] toilet : 0.7994 0.9335 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] sink : 0.5198 0.6439 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] bathtub : 0.7653 0.8665 +[2025-02-27 06:36:55,785 INFO hook.py line 232 1688082] otherfurniture : 0.4136 0.5333 +[2025-02-27 06:36:55,785 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:36:55,785 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5885/0.7060/0.8467. +[2025-02-27 06:36:55,786 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:36:55,804 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5885 +[2025-02-27 06:36:55,805 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5885 +[2025-02-27 06:36:55,805 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:37:22,653 INFO hook.py line 109 1688082] Train: [81/100][50/300] Data 0.008 (0.009) Batch 0.468 (0.380) Remain 00:37:40 loss: 0.3265 Lr: 6.24812e-04 +[2025-02-27 06:37:41,670 INFO hook.py line 109 1688082] Train: [81/100][100/300] Data 0.004 (0.008) Batch 0.364 (0.380) Remain 00:37:22 loss: 0.2130 Lr: 6.14753e-04 +[2025-02-27 06:37:59,957 INFO hook.py line 109 1688082] Train: [81/100][150/300] Data 0.004 (0.008) Batch 0.315 (0.375) Remain 00:36:35 loss: 0.1663 Lr: 6.04766e-04 +[2025-02-27 06:38:18,690 INFO hook.py line 109 1688082] Train: [81/100][200/300] Data 0.015 (0.008) Batch 0.369 (0.375) Remain 00:36:15 loss: 0.2972 Lr: 5.94851e-04 +[2025-02-27 06:38:34,898 INFO hook.py line 109 1688082] Train: [81/100][250/300] Data 0.004 (0.008) Batch 0.250 (0.365) Remain 00:34:57 loss: 0.0202 Lr: 5.85010e-04 +[2025-02-27 06:38:45,503 INFO hook.py line 109 1688082] Train: [81/100][300/300] Data 0.001 (0.007) Batch 0.187 (0.339) Remain 00:32:12 loss: 0.1145 Lr: 5.75242e-04 +[2025-02-27 06:38:45,503 INFO misc.py line 135 1688082] Train result: loss: 0.2339 +[2025-02-27 06:38:45,600 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:39:40,497 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3064 +[2025-02-27 06:39:40,546 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9802 +[2025-02-27 06:39:40,582 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6437 +[2025-02-27 06:39:40,629 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7072 +[2025-02-27 06:39:40,662 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.5900 +[2025-02-27 06:39:40,721 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7276 +[2025-02-27 06:39:40,768 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9161 +[2025-02-27 06:39:40,793 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5067 +[2025-02-27 06:39:40,833 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.3367 +[2025-02-27 06:39:40,865 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5713 +[2025-02-27 06:39:40,910 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.9473 +[2025-02-27 06:39:40,945 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2409 +[2025-02-27 06:39:40,991 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3781 +[2025-02-27 06:39:41,027 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6836 +[2025-02-27 06:39:42,066 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.1763 +[2025-02-27 06:39:42,119 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.3018 +[2025-02-27 06:39:42,154 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9585 +[2025-02-27 06:39:42,189 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9741 +[2025-02-27 06:39:42,228 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2848 +[2025-02-27 06:39:42,260 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1919 +[2025-02-27 06:39:42,296 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3475 +[2025-02-27 06:39:42,336 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.6341 +[2025-02-27 06:39:42,361 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1402 +[2025-02-27 06:39:42,405 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2517 +[2025-02-27 06:39:42,443 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3728 +[2025-02-27 06:39:42,488 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0325 +[2025-02-27 06:39:42,536 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6768 +[2025-02-27 06:39:42,569 INFO hook.py line 289 1688082] Test: [28/78] Loss 1.0820 +[2025-02-27 06:39:42,599 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3757 +[2025-02-27 06:39:42,658 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6689 +[2025-02-27 06:39:42,711 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.7043 +[2025-02-27 06:39:42,743 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.1848 +[2025-02-27 06:39:42,793 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2283 +[2025-02-27 06:39:42,829 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2920 +[2025-02-27 06:39:42,865 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4551 +[2025-02-27 06:39:42,909 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5819 +[2025-02-27 06:39:42,950 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6616 +[2025-02-27 06:39:42,993 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4237 +[2025-02-27 06:39:43,051 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5267 +[2025-02-27 06:39:43,094 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.3170 +[2025-02-27 06:39:43,134 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3151 +[2025-02-27 06:39:43,166 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3582 +[2025-02-27 06:39:43,200 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5819 +[2025-02-27 06:39:43,273 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7768 +[2025-02-27 06:39:43,315 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.7517 +[2025-02-27 06:39:43,366 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.8812 +[2025-02-27 06:39:43,408 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2313 +[2025-02-27 06:39:43,445 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.9573 +[2025-02-27 06:39:43,476 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.7009 +[2025-02-27 06:39:43,507 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9771 +[2025-02-27 06:39:43,535 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.5465 +[2025-02-27 06:39:43,568 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2864 +[2025-02-27 06:39:43,593 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4774 +[2025-02-27 06:39:43,627 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5377 +[2025-02-27 06:39:43,662 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0783 +[2025-02-27 06:39:43,701 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3099 +[2025-02-27 06:39:43,731 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9176 +[2025-02-27 06:39:43,756 INFO hook.py line 289 1688082] Test: [58/78] Loss 1.0209 +[2025-02-27 06:39:43,794 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1071 +[2025-02-27 06:39:43,825 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0004 +[2025-02-27 06:39:43,850 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.2222 +[2025-02-27 06:39:43,885 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.7971 +[2025-02-27 06:39:43,920 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4630 +[2025-02-27 06:39:43,973 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8293 +[2025-02-27 06:39:44,001 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0293 +[2025-02-27 06:39:44,038 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8097 +[2025-02-27 06:39:44,075 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.9611 +[2025-02-27 06:39:44,107 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8654 +[2025-02-27 06:39:44,137 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3486 +[2025-02-27 06:39:44,187 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4106 +[2025-02-27 06:39:44,228 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4667 +[2025-02-27 06:39:44,276 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4589 +[2025-02-27 06:39:44,322 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4670 +[2025-02-27 06:39:44,361 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3153 +[2025-02-27 06:39:44,406 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7107 +[2025-02-27 06:39:44,433 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.4662 +[2025-02-27 06:39:44,485 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7772 +[2025-02-27 06:39:44,510 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6873 +[2025-02-27 06:39:45,856 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:39:45,856 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:39:45,856 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:39:45,856 INFO hook.py line 232 1688082] wall : 0.7814 0.9181 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] floor : 0.9496 0.9798 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] cabinet : 0.4762 0.6218 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] bed : 0.6563 0.7954 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] chair : 0.8393 0.9038 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] sofa : 0.7216 0.8606 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] table : 0.6313 0.7622 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] door : 0.4859 0.6775 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] window : 0.3992 0.4635 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] bookshelf : 0.6471 0.7394 +[2025-02-27 06:39:45,857 INFO hook.py line 232 1688082] picture : 0.1631 0.2568 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] counter : 0.4769 0.6475 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] desk : 0.4826 0.6915 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] curtain : 0.5837 0.6508 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] refridgerator : 0.3557 0.4343 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] shower curtain : 0.5559 0.6276 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] toilet : 0.8320 0.9159 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] sink : 0.5388 0.6404 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] bathtub : 0.7142 0.8729 +[2025-02-27 06:39:45,858 INFO hook.py line 232 1688082] otherfurniture : 0.4460 0.5547 +[2025-02-27 06:39:45,858 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:39:45,858 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5868/0.7007/0.8463. +[2025-02-27 06:39:45,859 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:39:45,875 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5885 +[2025-02-27 06:39:45,875 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:40:12,723 INFO hook.py line 109 1688082] Train: [82/100][50/300] Data 0.007 (0.008) Batch 0.415 (0.355) Remain 00:33:22 loss: 0.2249 Lr: 5.65548e-04 +[2025-02-27 06:40:31,470 INFO hook.py line 109 1688082] Train: [82/100][100/300] Data 0.006 (0.008) Batch 0.372 (0.365) Remain 00:34:04 loss: 0.0236 Lr: 5.55928e-04 +[2025-02-27 06:40:49,789 INFO hook.py line 109 1688082] Train: [82/100][150/300] Data 0.003 (0.008) Batch 0.344 (0.365) Remain 00:33:48 loss: 0.0605 Lr: 5.46382e-04 +[2025-02-27 06:41:07,583 INFO hook.py line 109 1688082] Train: [82/100][200/300] Data 0.004 (0.008) Batch 0.395 (0.363) Remain 00:33:16 loss: 0.0186 Lr: 5.36910e-04 +[2025-02-27 06:41:26,068 INFO hook.py line 109 1688082] Train: [82/100][250/300] Data 0.014 (0.008) Batch 0.446 (0.364) Remain 00:33:05 loss: 0.0647 Lr: 5.27513e-04 +[2025-02-27 06:41:39,728 INFO hook.py line 109 1688082] Train: [82/100][300/300] Data 0.001 (0.008) Batch 0.216 (0.349) Remain 00:31:24 loss: 0.1314 Lr: 5.18192e-04 +[2025-02-27 06:41:39,729 INFO misc.py line 135 1688082] Train result: loss: 0.2332 +[2025-02-27 06:41:39,817 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:41:59,411 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3287 +[2025-02-27 06:42:00,064 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8060 +[2025-02-27 06:42:00,105 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6946 +[2025-02-27 06:42:00,157 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6948 +[2025-02-27 06:42:00,199 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7502 +[2025-02-27 06:42:00,256 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8254 +[2025-02-27 06:42:00,304 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.7340 +[2025-02-27 06:42:00,330 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5390 +[2025-02-27 06:42:00,373 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2516 +[2025-02-27 06:42:00,414 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5705 +[2025-02-27 06:42:00,464 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7687 +[2025-02-27 06:42:00,504 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.1933 +[2025-02-27 06:42:00,553 INFO hook.py line 289 1688082] Test: [13/78] Loss 1.9522 +[2025-02-27 06:42:00,593 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5297 +[2025-02-27 06:42:00,632 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.5669 +[2025-02-27 06:42:00,675 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1239 +[2025-02-27 06:42:00,712 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.9577 +[2025-02-27 06:42:00,745 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3125 +[2025-02-27 06:42:00,792 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3759 +[2025-02-27 06:42:00,827 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2901 +[2025-02-27 06:42:00,871 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3480 +[2025-02-27 06:42:00,908 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7090 +[2025-02-27 06:42:00,940 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.1490 +[2025-02-27 06:42:00,981 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1372 +[2025-02-27 06:42:01,033 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1421 +[2025-02-27 06:42:01,080 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9968 +[2025-02-27 06:42:01,127 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6422 +[2025-02-27 06:42:01,163 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8651 +[2025-02-27 06:42:01,200 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3987 +[2025-02-27 06:42:01,258 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7595 +[2025-02-27 06:42:01,312 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5785 +[2025-02-27 06:42:01,345 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0720 +[2025-02-27 06:42:01,395 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.3553 +[2025-02-27 06:42:01,430 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3985 +[2025-02-27 06:42:01,465 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5519 +[2025-02-27 06:42:01,506 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5047 +[2025-02-27 06:42:01,543 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.6406 +[2025-02-27 06:42:01,585 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.4200 +[2025-02-27 06:42:01,641 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6027 +[2025-02-27 06:42:01,694 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.1622 +[2025-02-27 06:42:01,737 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2523 +[2025-02-27 06:42:01,771 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2943 +[2025-02-27 06:42:01,805 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5001 +[2025-02-27 06:42:01,856 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8724 +[2025-02-27 06:42:01,888 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8945 +[2025-02-27 06:42:01,931 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9885 +[2025-02-27 06:42:01,971 INFO hook.py line 289 1688082] Test: [47/78] Loss 1.9128 +[2025-02-27 06:42:02,005 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8199 +[2025-02-27 06:42:02,037 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.3977 +[2025-02-27 06:42:02,074 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9450 +[2025-02-27 06:42:02,103 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.9850 +[2025-02-27 06:42:02,137 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3977 +[2025-02-27 06:42:02,164 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4292 +[2025-02-27 06:42:02,197 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5650 +[2025-02-27 06:42:02,231 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0696 +[2025-02-27 06:42:02,270 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3828 +[2025-02-27 06:42:02,300 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9414 +[2025-02-27 06:42:02,325 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9657 +[2025-02-27 06:42:02,362 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0860 +[2025-02-27 06:42:02,397 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9793 +[2025-02-27 06:42:02,421 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0557 +[2025-02-27 06:42:02,454 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0530 +[2025-02-27 06:42:02,488 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3243 +[2025-02-27 06:42:02,542 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.9880 +[2025-02-27 06:42:02,569 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1762 +[2025-02-27 06:42:02,606 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7460 +[2025-02-27 06:42:02,643 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6874 +[2025-02-27 06:42:02,674 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9757 +[2025-02-27 06:42:02,702 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3627 +[2025-02-27 06:42:02,754 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3198 +[2025-02-27 06:42:02,794 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4120 +[2025-02-27 06:42:02,843 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5060 +[2025-02-27 06:42:02,889 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5406 +[2025-02-27 06:42:02,932 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2555 +[2025-02-27 06:42:02,978 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8402 +[2025-02-27 06:42:03,006 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2430 +[2025-02-27 06:42:03,057 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7732 +[2025-02-27 06:42:03,084 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6024 +[2025-02-27 06:42:04,452 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:42:04,452 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:42:04,452 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:42:04,452 INFO hook.py line 232 1688082] wall : 0.7777 0.9120 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] floor : 0.9531 0.9796 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] cabinet : 0.4677 0.6928 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] bed : 0.6807 0.7710 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] chair : 0.8397 0.9312 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] sofa : 0.7493 0.8568 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] table : 0.6354 0.7449 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] door : 0.4654 0.6106 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] window : 0.4372 0.5416 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] bookshelf : 0.6516 0.7480 +[2025-02-27 06:42:04,453 INFO hook.py line 232 1688082] picture : 0.1780 0.2679 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] counter : 0.4609 0.6149 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] desk : 0.4900 0.7246 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] curtain : 0.5672 0.6414 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] refridgerator : 0.3843 0.4499 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] shower curtain : 0.4683 0.5067 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] toilet : 0.8428 0.9249 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] sink : 0.5082 0.6719 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] bathtub : 0.7606 0.8489 +[2025-02-27 06:42:04,454 INFO hook.py line 232 1688082] otherfurniture : 0.4263 0.5096 +[2025-02-27 06:42:04,454 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:42:04,454 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5872/0.6974/0.8460. +[2025-02-27 06:42:04,460 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:42:04,472 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5885 +[2025-02-27 06:42:04,473 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:42:29,406 INFO hook.py line 109 1688082] Train: [83/100][50/300] Data 0.006 (0.010) Batch 0.251 (0.369) Remain 00:32:53 loss: 0.3335 Lr: 5.08946e-04 +[2025-02-27 06:42:42,211 INFO hook.py line 109 1688082] Train: [83/100][100/300] Data 0.004 (0.007) Batch 0.244 (0.311) Remain 00:27:26 loss: 0.4360 Lr: 4.99775e-04 +[2025-02-27 06:43:02,564 INFO hook.py line 109 1688082] Train: [83/100][150/300] Data 0.010 (0.007) Batch 0.381 (0.343) Remain 00:30:03 loss: 0.0232 Lr: 4.90681e-04 +[2025-02-27 06:43:19,369 INFO hook.py line 109 1688082] Train: [83/100][200/300] Data 0.004 (0.007) Batch 0.243 (0.342) Remain 00:29:36 loss: 0.0419 Lr: 4.81662e-04 +[2025-02-27 06:43:42,991 INFO hook.py line 109 1688082] Train: [83/100][250/300] Data 0.004 (0.007) Batch 0.323 (0.368) Remain 00:31:35 loss: 0.2172 Lr: 4.72721e-04 +[2025-02-27 06:43:56,510 INFO hook.py line 109 1688082] Train: [83/100][300/300] Data 0.002 (0.007) Batch 0.195 (0.352) Remain 00:29:53 loss: 0.4349 Lr: 4.63856e-04 +[2025-02-27 06:43:56,511 INFO misc.py line 135 1688082] Train result: loss: 0.2111 +[2025-02-27 06:43:56,600 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:44:16,314 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4462 +[2025-02-27 06:44:16,740 INFO hook.py line 289 1688082] Test: [2/78] Loss 1.0003 +[2025-02-27 06:44:16,909 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5842 +[2025-02-27 06:44:16,954 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7258 +[2025-02-27 06:44:16,991 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7268 +[2025-02-27 06:44:17,046 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9343 +[2025-02-27 06:44:17,093 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8929 +[2025-02-27 06:44:17,133 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5437 +[2025-02-27 06:44:17,184 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2217 +[2025-02-27 06:44:17,226 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4180 +[2025-02-27 06:44:17,278 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.6554 +[2025-02-27 06:44:17,314 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.4764 +[2025-02-27 06:44:17,360 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3701 +[2025-02-27 06:44:17,398 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3368 +[2025-02-27 06:44:17,529 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.1753 +[2025-02-27 06:44:17,570 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.2040 +[2025-02-27 06:44:17,608 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7830 +[2025-02-27 06:44:17,645 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1905 +[2025-02-27 06:44:17,685 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2581 +[2025-02-27 06:44:17,718 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.1517 +[2025-02-27 06:44:17,753 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3613 +[2025-02-27 06:44:17,793 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.9911 +[2025-02-27 06:44:17,823 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9433 +[2025-02-27 06:44:17,866 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.4725 +[2025-02-27 06:44:17,905 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3539 +[2025-02-27 06:44:17,945 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8614 +[2025-02-27 06:44:17,999 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.8628 +[2025-02-27 06:44:18,031 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7855 +[2025-02-27 06:44:18,062 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4904 +[2025-02-27 06:44:18,117 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6178 +[2025-02-27 06:44:18,171 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5644 +[2025-02-27 06:44:18,206 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9860 +[2025-02-27 06:44:18,256 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1830 +[2025-02-27 06:44:18,301 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4199 +[2025-02-27 06:44:18,341 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5389 +[2025-02-27 06:44:18,392 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.3916 +[2025-02-27 06:44:18,432 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.4854 +[2025-02-27 06:44:18,469 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3804 +[2025-02-27 06:44:18,528 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5977 +[2025-02-27 06:44:18,574 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2854 +[2025-02-27 06:44:18,625 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3144 +[2025-02-27 06:44:18,661 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3693 +[2025-02-27 06:44:18,703 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6043 +[2025-02-27 06:44:18,756 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7641 +[2025-02-27 06:44:18,788 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8324 +[2025-02-27 06:44:18,839 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1799 +[2025-02-27 06:44:18,877 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1984 +[2025-02-27 06:44:18,910 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.6229 +[2025-02-27 06:44:18,943 INFO hook.py line 289 1688082] Test: [49/78] Loss 1.8816 +[2025-02-27 06:44:18,983 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0096 +[2025-02-27 06:44:19,012 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.5310 +[2025-02-27 06:44:19,044 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2370 +[2025-02-27 06:44:19,071 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.5334 +[2025-02-27 06:44:19,106 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5460 +[2025-02-27 06:44:19,141 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0779 +[2025-02-27 06:44:19,180 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3609 +[2025-02-27 06:44:19,212 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8943 +[2025-02-27 06:44:19,239 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9282 +[2025-02-27 06:44:19,275 INFO hook.py line 289 1688082] Test: [59/78] Loss 0.9915 +[2025-02-27 06:44:19,306 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9763 +[2025-02-27 06:44:19,331 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0648 +[2025-02-27 06:44:19,365 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0580 +[2025-02-27 06:44:19,404 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.2703 +[2025-02-27 06:44:19,458 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.8292 +[2025-02-27 06:44:19,485 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1792 +[2025-02-27 06:44:19,527 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7793 +[2025-02-27 06:44:19,563 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5547 +[2025-02-27 06:44:19,596 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8150 +[2025-02-27 06:44:19,626 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4498 +[2025-02-27 06:44:19,678 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4435 +[2025-02-27 06:44:19,719 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3470 +[2025-02-27 06:44:19,767 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5253 +[2025-02-27 06:44:19,812 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5843 +[2025-02-27 06:44:19,851 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3538 +[2025-02-27 06:44:19,899 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6567 +[2025-02-27 06:44:19,928 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.1002 +[2025-02-27 06:44:19,982 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7355 +[2025-02-27 06:44:20,007 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5946 +[2025-02-27 06:44:21,547 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:44:21,548 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:44:21,548 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] wall : 0.7805 0.8963 +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] floor : 0.9520 0.9797 +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] cabinet : 0.4940 0.6317 +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] bed : 0.6643 0.7996 +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] chair : 0.8356 0.9322 +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] sofa : 0.7420 0.8683 +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] table : 0.6197 0.7632 +[2025-02-27 06:44:21,548 INFO hook.py line 232 1688082] door : 0.5057 0.6626 +[2025-02-27 06:44:21,549 INFO hook.py line 232 1688082] window : 0.4635 0.6333 +[2025-02-27 06:44:21,549 INFO hook.py line 232 1688082] bookshelf : 0.6752 0.8082 +[2025-02-27 06:44:21,549 INFO hook.py line 232 1688082] picture : 0.1613 0.2134 +[2025-02-27 06:44:21,549 INFO hook.py line 232 1688082] counter : 0.4496 0.5831 +[2025-02-27 06:44:21,549 INFO hook.py line 232 1688082] desk : 0.4902 0.6951 +[2025-02-27 06:44:21,550 INFO hook.py line 232 1688082] curtain : 0.5976 0.7285 +[2025-02-27 06:44:21,550 INFO hook.py line 232 1688082] refridgerator : 0.3659 0.4317 +[2025-02-27 06:44:21,550 INFO hook.py line 232 1688082] shower curtain : 0.5095 0.6060 +[2025-02-27 06:44:21,550 INFO hook.py line 232 1688082] toilet : 0.8112 0.9160 +[2025-02-27 06:44:21,550 INFO hook.py line 232 1688082] sink : 0.5114 0.6225 +[2025-02-27 06:44:21,550 INFO hook.py line 232 1688082] bathtub : 0.7663 0.8753 +[2025-02-27 06:44:21,550 INFO hook.py line 232 1688082] otherfurniture : 0.4248 0.5244 +[2025-02-27 06:44:21,550 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:44:21,550 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5910/0.7086/0.8489. +[2025-02-27 06:44:21,551 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:44:21,585 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5910 +[2025-02-27 06:44:21,586 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5910 +[2025-02-27 06:44:21,586 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:44:48,409 INFO hook.py line 109 1688082] Train: [84/100][50/300] Data 0.004 (0.008) Batch 0.269 (0.361) Remain 00:30:22 loss: 0.0191 Lr: 4.55068e-04 +[2025-02-27 06:45:07,230 INFO hook.py line 109 1688082] Train: [84/100][100/300] Data 0.006 (0.009) Batch 0.424 (0.369) Remain 00:30:44 loss: 0.3394 Lr: 4.46357e-04 +[2025-02-27 06:45:25,289 INFO hook.py line 109 1688082] Train: [84/100][150/300] Data 0.004 (0.008) Batch 0.397 (0.366) Remain 00:30:13 loss: 0.5051 Lr: 4.37724e-04 +[2025-02-27 06:45:43,628 INFO hook.py line 109 1688082] Train: [84/100][200/300] Data 0.003 (0.008) Batch 0.316 (0.366) Remain 00:29:55 loss: 0.2019 Lr: 4.29169e-04 +[2025-02-27 06:46:01,828 INFO hook.py line 109 1688082] Train: [84/100][250/300] Data 0.004 (0.008) Batch 0.323 (0.366) Remain 00:29:34 loss: 0.1891 Lr: 4.20692e-04 +[2025-02-27 06:46:15,952 INFO hook.py line 109 1688082] Train: [84/100][300/300] Data 0.002 (0.007) Batch 0.206 (0.352) Remain 00:28:09 loss: 0.2358 Lr: 4.12293e-04 +[2025-02-27 06:46:15,953 INFO misc.py line 135 1688082] Train result: loss: 0.2079 +[2025-02-27 06:46:16,064 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:46:30,835 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3366 +[2025-02-27 06:46:31,018 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8397 +[2025-02-27 06:46:31,059 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7769 +[2025-02-27 06:46:31,306 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.6917 +[2025-02-27 06:46:31,339 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6517 +[2025-02-27 06:46:31,392 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.8857 +[2025-02-27 06:46:31,442 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8005 +[2025-02-27 06:46:31,660 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4738 +[2025-02-27 06:46:31,707 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2351 +[2025-02-27 06:46:31,745 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5402 +[2025-02-27 06:46:31,786 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8300 +[2025-02-27 06:46:31,817 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3293 +[2025-02-27 06:46:31,861 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.2513 +[2025-02-27 06:46:31,898 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3949 +[2025-02-27 06:46:31,930 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0368 +[2025-02-27 06:46:31,972 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.0991 +[2025-02-27 06:46:32,009 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.6942 +[2025-02-27 06:46:32,037 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1210 +[2025-02-27 06:46:32,076 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3529 +[2025-02-27 06:46:32,108 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2847 +[2025-02-27 06:46:32,151 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3937 +[2025-02-27 06:46:32,187 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7410 +[2025-02-27 06:46:32,211 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0437 +[2025-02-27 06:46:32,257 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.4050 +[2025-02-27 06:46:32,301 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1617 +[2025-02-27 06:46:32,339 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8176 +[2025-02-27 06:46:32,384 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.7707 +[2025-02-27 06:46:32,416 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7341 +[2025-02-27 06:46:32,447 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4309 +[2025-02-27 06:46:32,496 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.5411 +[2025-02-27 06:46:32,548 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5986 +[2025-02-27 06:46:32,583 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9300 +[2025-02-27 06:46:32,632 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2299 +[2025-02-27 06:46:32,676 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.2751 +[2025-02-27 06:46:32,710 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4362 +[2025-02-27 06:46:32,742 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4869 +[2025-02-27 06:46:32,781 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5016 +[2025-02-27 06:46:32,808 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.2949 +[2025-02-27 06:46:32,864 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.7066 +[2025-02-27 06:46:32,910 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2641 +[2025-02-27 06:46:32,948 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2479 +[2025-02-27 06:46:32,971 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3031 +[2025-02-27 06:46:33,003 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4415 +[2025-02-27 06:46:33,057 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7764 +[2025-02-27 06:46:33,090 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9589 +[2025-02-27 06:46:33,141 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1372 +[2025-02-27 06:46:33,175 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2345 +[2025-02-27 06:46:33,205 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7095 +[2025-02-27 06:46:33,233 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.3596 +[2025-02-27 06:46:33,262 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9196 +[2025-02-27 06:46:33,287 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.0708 +[2025-02-27 06:46:33,316 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2710 +[2025-02-27 06:46:33,338 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4099 +[2025-02-27 06:46:33,368 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4227 +[2025-02-27 06:46:33,400 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0636 +[2025-02-27 06:46:33,436 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3215 +[2025-02-27 06:46:33,465 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0231 +[2025-02-27 06:46:33,488 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.8584 +[2025-02-27 06:46:33,522 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1090 +[2025-02-27 06:46:33,551 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9385 +[2025-02-27 06:46:33,571 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.8977 +[2025-02-27 06:46:33,600 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8798 +[2025-02-27 06:46:33,632 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3729 +[2025-02-27 06:46:33,683 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6156 +[2025-02-27 06:46:33,707 INFO hook.py line 289 1688082] Test: [65/78] Loss 0.9319 +[2025-02-27 06:46:33,743 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7084 +[2025-02-27 06:46:33,777 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6111 +[2025-02-27 06:46:33,805 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.8181 +[2025-02-27 06:46:33,831 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3824 +[2025-02-27 06:46:33,881 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3355 +[2025-02-27 06:46:33,919 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4150 +[2025-02-27 06:46:33,964 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4793 +[2025-02-27 06:46:34,008 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5041 +[2025-02-27 06:46:34,044 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3192 +[2025-02-27 06:46:34,088 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.6896 +[2025-02-27 06:46:34,114 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.2183 +[2025-02-27 06:46:34,163 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7341 +[2025-02-27 06:46:34,186 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6275 +[2025-02-27 06:46:35,580 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:46:35,581 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:46:35,581 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:46:35,581 INFO hook.py line 232 1688082] wall : 0.7863 0.9114 +[2025-02-27 06:46:35,581 INFO hook.py line 232 1688082] floor : 0.9520 0.9801 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] cabinet : 0.4966 0.6355 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] bed : 0.6847 0.7944 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] chair : 0.8468 0.9303 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] sofa : 0.7389 0.8885 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] table : 0.6415 0.7746 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] door : 0.5040 0.6349 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] window : 0.4388 0.5665 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] bookshelf : 0.6858 0.8130 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] picture : 0.1678 0.2365 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] counter : 0.4807 0.6522 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] desk : 0.5002 0.6596 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] curtain : 0.5767 0.7066 +[2025-02-27 06:46:35,582 INFO hook.py line 232 1688082] refridgerator : 0.3670 0.4730 +[2025-02-27 06:46:35,583 INFO hook.py line 232 1688082] shower curtain : 0.4834 0.6460 +[2025-02-27 06:46:35,583 INFO hook.py line 232 1688082] toilet : 0.8276 0.9292 +[2025-02-27 06:46:35,583 INFO hook.py line 232 1688082] sink : 0.5303 0.6360 +[2025-02-27 06:46:35,583 INFO hook.py line 232 1688082] bathtub : 0.7509 0.8766 +[2025-02-27 06:46:35,583 INFO hook.py line 232 1688082] otherfurniture : 0.4470 0.5555 +[2025-02-27 06:46:35,583 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:46:35,583 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5953/0.7150/0.8525. +[2025-02-27 06:46:35,583 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:46:35,597 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5953 +[2025-02-27 06:46:35,597 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5953 +[2025-02-27 06:46:35,597 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:47:03,498 INFO hook.py line 109 1688082] Train: [85/100][50/300] Data 0.007 (0.009) Batch 0.388 (0.419) Remain 00:33:10 loss: 0.2176 Lr: 4.04138e-04 +[2025-02-27 06:47:20,134 INFO hook.py line 109 1688082] Train: [85/100][100/300] Data 0.007 (0.007) Batch 0.571 (0.375) Remain 00:29:20 loss: 0.3024 Lr: 3.95896e-04 +[2025-02-27 06:47:42,811 INFO hook.py line 109 1688082] Train: [85/100][150/300] Data 0.008 (0.007) Batch 0.364 (0.401) Remain 00:31:06 loss: 0.4676 Lr: 3.87732e-04 +[2025-02-27 06:48:00,412 INFO hook.py line 109 1688082] Train: [85/100][200/300] Data 0.005 (0.007) Batch 0.295 (0.389) Remain 00:29:48 loss: 0.4810 Lr: 3.79648e-04 +[2025-02-27 06:48:18,315 INFO hook.py line 109 1688082] Train: [85/100][250/300] Data 0.012 (0.007) Batch 0.332 (0.383) Remain 00:29:01 loss: 0.0235 Lr: 3.71643e-04 +[2025-02-27 06:48:31,743 INFO hook.py line 109 1688082] Train: [85/100][300/300] Data 0.001 (0.007) Batch 0.187 (0.363) Remain 00:27:15 loss: 0.1347 Lr: 3.63718e-04 +[2025-02-27 06:48:31,744 INFO misc.py line 135 1688082] Train result: loss: 0.2078 +[2025-02-27 06:48:31,841 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:48:49,767 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3986 +[2025-02-27 06:48:50,470 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9009 +[2025-02-27 06:48:50,703 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5843 +[2025-02-27 06:48:50,756 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7301 +[2025-02-27 06:48:50,798 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6503 +[2025-02-27 06:48:50,857 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9278 +[2025-02-27 06:48:50,905 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.9052 +[2025-02-27 06:48:50,941 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4564 +[2025-02-27 06:48:50,981 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1953 +[2025-02-27 06:48:51,014 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5410 +[2025-02-27 06:48:51,063 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7517 +[2025-02-27 06:48:51,266 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.4651 +[2025-02-27 06:48:51,321 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4966 +[2025-02-27 06:48:51,559 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.3763 +[2025-02-27 06:48:51,596 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.0088 +[2025-02-27 06:48:51,639 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1243 +[2025-02-27 06:48:51,675 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7095 +[2025-02-27 06:48:51,724 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1586 +[2025-02-27 06:48:51,776 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.6067 +[2025-02-27 06:48:51,818 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.0958 +[2025-02-27 06:48:51,854 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.4012 +[2025-02-27 06:48:51,892 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8535 +[2025-02-27 06:48:51,928 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0888 +[2025-02-27 06:48:51,969 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1549 +[2025-02-27 06:48:52,008 INFO hook.py line 289 1688082] Test: [25/78] Loss 0.9862 +[2025-02-27 06:48:52,045 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9282 +[2025-02-27 06:48:52,092 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5179 +[2025-02-27 06:48:52,127 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6676 +[2025-02-27 06:48:52,157 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4216 +[2025-02-27 06:48:52,210 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.4797 +[2025-02-27 06:48:52,264 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5427 +[2025-02-27 06:48:52,308 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9731 +[2025-02-27 06:48:52,359 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2288 +[2025-02-27 06:48:52,395 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3227 +[2025-02-27 06:48:52,430 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5689 +[2025-02-27 06:48:52,467 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4242 +[2025-02-27 06:48:52,503 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.4530 +[2025-02-27 06:48:52,531 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3409 +[2025-02-27 06:48:52,589 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6902 +[2025-02-27 06:48:52,638 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.4195 +[2025-02-27 06:48:52,688 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1694 +[2025-02-27 06:48:52,725 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.4347 +[2025-02-27 06:48:52,770 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4869 +[2025-02-27 06:48:52,821 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8633 +[2025-02-27 06:48:52,863 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.7987 +[2025-02-27 06:48:52,913 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1464 +[2025-02-27 06:48:52,949 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1177 +[2025-02-27 06:48:52,981 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7236 +[2025-02-27 06:48:53,012 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2281 +[2025-02-27 06:48:53,043 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0196 +[2025-02-27 06:48:53,070 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.4361 +[2025-02-27 06:48:53,104 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.3429 +[2025-02-27 06:48:53,130 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4527 +[2025-02-27 06:48:53,167 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4724 +[2025-02-27 06:48:53,202 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0803 +[2025-02-27 06:48:53,241 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2757 +[2025-02-27 06:48:53,272 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8759 +[2025-02-27 06:48:53,298 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9978 +[2025-02-27 06:48:53,336 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.1921 +[2025-02-27 06:48:53,368 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9951 +[2025-02-27 06:48:53,393 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9455 +[2025-02-27 06:48:53,426 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9713 +[2025-02-27 06:48:53,461 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5606 +[2025-02-27 06:48:53,515 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7543 +[2025-02-27 06:48:53,544 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1102 +[2025-02-27 06:48:53,583 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.8010 +[2025-02-27 06:48:53,619 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5475 +[2025-02-27 06:48:53,655 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9418 +[2025-02-27 06:48:53,683 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3991 +[2025-02-27 06:48:53,734 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3773 +[2025-02-27 06:48:53,775 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4026 +[2025-02-27 06:48:53,823 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4561 +[2025-02-27 06:48:53,869 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5459 +[2025-02-27 06:48:53,908 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2945 +[2025-02-27 06:48:53,953 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7638 +[2025-02-27 06:48:53,981 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0578 +[2025-02-27 06:48:54,033 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7040 +[2025-02-27 06:48:54,058 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5678 +[2025-02-27 06:48:55,624 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:48:55,625 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:48:55,626 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:48:55,626 INFO hook.py line 232 1688082] wall : 0.7831 0.9043 +[2025-02-27 06:48:55,626 INFO hook.py line 232 1688082] floor : 0.9520 0.9770 +[2025-02-27 06:48:55,627 INFO hook.py line 232 1688082] cabinet : 0.4916 0.6314 +[2025-02-27 06:48:55,627 INFO hook.py line 232 1688082] bed : 0.6823 0.7656 +[2025-02-27 06:48:55,627 INFO hook.py line 232 1688082] chair : 0.8319 0.9353 +[2025-02-27 06:48:55,627 INFO hook.py line 232 1688082] sofa : 0.7258 0.8327 +[2025-02-27 06:48:55,627 INFO hook.py line 232 1688082] table : 0.6261 0.7517 +[2025-02-27 06:48:55,628 INFO hook.py line 232 1688082] door : 0.4890 0.6400 +[2025-02-27 06:48:55,628 INFO hook.py line 232 1688082] window : 0.4440 0.6353 +[2025-02-27 06:48:55,628 INFO hook.py line 232 1688082] bookshelf : 0.6689 0.8199 +[2025-02-27 06:48:55,628 INFO hook.py line 232 1688082] picture : 0.1656 0.2146 +[2025-02-27 06:48:55,628 INFO hook.py line 232 1688082] counter : 0.4789 0.5757 +[2025-02-27 06:48:55,628 INFO hook.py line 232 1688082] desk : 0.4988 0.6984 +[2025-02-27 06:48:55,628 INFO hook.py line 232 1688082] curtain : 0.5660 0.7013 +[2025-02-27 06:48:55,629 INFO hook.py line 232 1688082] refridgerator : 0.3786 0.4158 +[2025-02-27 06:48:55,629 INFO hook.py line 232 1688082] shower curtain : 0.4929 0.5722 +[2025-02-27 06:48:55,629 INFO hook.py line 232 1688082] toilet : 0.8027 0.9385 +[2025-02-27 06:48:55,629 INFO hook.py line 232 1688082] sink : 0.5090 0.6230 +[2025-02-27 06:48:55,630 INFO hook.py line 232 1688082] bathtub : 0.6962 0.8957 +[2025-02-27 06:48:55,630 INFO hook.py line 232 1688082] otherfurniture : 0.4363 0.5419 +[2025-02-27 06:48:55,630 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:48:55,631 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5860/0.7035/0.8483. +[2025-02-27 06:48:55,631 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:48:55,654 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5953 +[2025-02-27 06:48:55,655 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:49:22,457 INFO hook.py line 109 1688082] Train: [86/100][50/300] Data 0.006 (0.007) Batch 0.290 (0.356) Remain 00:26:24 loss: 0.1514 Lr: 3.55873e-04 +[2025-02-27 06:49:40,841 INFO hook.py line 109 1688082] Train: [86/100][100/300] Data 0.004 (0.007) Batch 0.449 (0.362) Remain 00:26:33 loss: 0.0835 Lr: 3.48109e-04 +[2025-02-27 06:49:59,104 INFO hook.py line 109 1688082] Train: [86/100][150/300] Data 0.004 (0.007) Batch 0.396 (0.363) Remain 00:26:19 loss: 0.0967 Lr: 3.40425e-04 +[2025-02-27 06:50:17,318 INFO hook.py line 109 1688082] Train: [86/100][200/300] Data 0.005 (0.007) Batch 0.303 (0.363) Remain 00:26:02 loss: 0.2427 Lr: 3.32822e-04 +[2025-02-27 06:50:32,874 INFO hook.py line 109 1688082] Train: [86/100][250/300] Data 0.003 (0.007) Batch 0.241 (0.353) Remain 00:24:59 loss: 0.1285 Lr: 3.25300e-04 +[2025-02-27 06:50:44,214 INFO hook.py line 109 1688082] Train: [86/100][300/300] Data 0.002 (0.006) Batch 0.249 (0.332) Remain 00:23:12 loss: 0.2710 Lr: 3.17859e-04 +[2025-02-27 06:50:44,215 INFO misc.py line 135 1688082] Train result: loss: 0.1886 +[2025-02-27 06:50:44,368 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:51:18,201 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4217 +[2025-02-27 06:51:18,338 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9271 +[2025-02-27 06:51:18,384 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.5592 +[2025-02-27 06:51:18,432 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7245 +[2025-02-27 06:51:18,470 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6910 +[2025-02-27 06:51:18,531 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9130 +[2025-02-27 06:51:18,588 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8848 +[2025-02-27 06:51:18,628 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.5041 +[2025-02-27 06:51:18,684 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1820 +[2025-02-27 06:51:18,723 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.5723 +[2025-02-27 06:51:24,653 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7637 +[2025-02-27 06:51:25,201 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3334 +[2025-02-27 06:51:26,082 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4224 +[2025-02-27 06:51:26,322 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5834 +[2025-02-27 06:51:26,661 INFO hook.py line 289 1688082] Test: [15/78] Loss 2.1788 +[2025-02-27 06:51:26,701 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.0998 +[2025-02-27 06:51:26,749 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7865 +[2025-02-27 06:51:26,783 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.3022 +[2025-02-27 06:51:26,829 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.4396 +[2025-02-27 06:51:26,860 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2765 +[2025-02-27 06:51:26,897 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3829 +[2025-02-27 06:51:26,936 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8274 +[2025-02-27 06:51:26,968 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0926 +[2025-02-27 06:51:27,020 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2992 +[2025-02-27 06:51:27,059 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1614 +[2025-02-27 06:51:27,096 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9783 +[2025-02-27 06:51:27,143 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5116 +[2025-02-27 06:51:27,183 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.6550 +[2025-02-27 06:51:27,213 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.4035 +[2025-02-27 06:51:27,274 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.5656 +[2025-02-27 06:51:27,327 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5675 +[2025-02-27 06:51:27,366 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9353 +[2025-02-27 06:51:27,424 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1791 +[2025-02-27 06:51:27,459 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3120 +[2025-02-27 06:51:27,494 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4686 +[2025-02-27 06:51:27,533 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5169 +[2025-02-27 06:51:27,568 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5239 +[2025-02-27 06:51:27,612 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3547 +[2025-02-27 06:51:27,669 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5436 +[2025-02-27 06:51:27,713 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2932 +[2025-02-27 06:51:27,753 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2413 +[2025-02-27 06:51:27,787 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.3050 +[2025-02-27 06:51:27,827 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5453 +[2025-02-27 06:51:27,884 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7970 +[2025-02-27 06:51:27,914 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9432 +[2025-02-27 06:51:27,959 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0928 +[2025-02-27 06:51:27,996 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0720 +[2025-02-27 06:51:28,026 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.8003 +[2025-02-27 06:51:28,057 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2121 +[2025-02-27 06:51:28,087 INFO hook.py line 289 1688082] Test: [50/78] Loss 0.9938 +[2025-02-27 06:51:28,114 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3184 +[2025-02-27 06:51:28,147 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2978 +[2025-02-27 06:51:28,172 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3865 +[2025-02-27 06:51:28,206 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.6413 +[2025-02-27 06:51:28,241 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0637 +[2025-02-27 06:51:28,280 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2714 +[2025-02-27 06:51:28,311 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9504 +[2025-02-27 06:51:28,337 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9363 +[2025-02-27 06:51:28,374 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0973 +[2025-02-27 06:51:28,406 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0053 +[2025-02-27 06:51:28,429 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9395 +[2025-02-27 06:51:28,461 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9212 +[2025-02-27 06:51:28,495 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4891 +[2025-02-27 06:51:28,548 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7366 +[2025-02-27 06:51:28,575 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1195 +[2025-02-27 06:51:28,613 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7556 +[2025-02-27 06:51:28,650 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6628 +[2025-02-27 06:51:28,681 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9351 +[2025-02-27 06:51:28,710 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3690 +[2025-02-27 06:51:28,761 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4080 +[2025-02-27 06:51:28,801 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.5147 +[2025-02-27 06:51:28,850 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4900 +[2025-02-27 06:51:28,895 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5168 +[2025-02-27 06:51:28,933 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4313 +[2025-02-27 06:51:28,979 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7709 +[2025-02-27 06:51:29,005 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9326 +[2025-02-27 06:51:29,057 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7045 +[2025-02-27 06:51:29,083 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5858 +[2025-02-27 06:51:30,786 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:51:30,787 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:51:30,787 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] wall : 0.7856 0.9116 +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] floor : 0.9520 0.9810 +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] cabinet : 0.5122 0.6489 +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] bed : 0.6903 0.7744 +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] chair : 0.8342 0.9363 +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] sofa : 0.7333 0.8607 +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] table : 0.6396 0.7444 +[2025-02-27 06:51:30,787 INFO hook.py line 232 1688082] door : 0.4913 0.6359 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] window : 0.4635 0.6312 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] bookshelf : 0.6845 0.7991 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] picture : 0.1597 0.2036 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] counter : 0.4798 0.5898 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] desk : 0.5066 0.6886 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] curtain : 0.5939 0.7225 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] refridgerator : 0.3795 0.4298 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] shower curtain : 0.5083 0.6266 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] toilet : 0.8155 0.9298 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] sink : 0.5353 0.6789 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] bathtub : 0.7597 0.8898 +[2025-02-27 06:51:30,788 INFO hook.py line 232 1688082] otherfurniture : 0.4231 0.5309 +[2025-02-27 06:51:30,788 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:51:30,788 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5974/0.7107/0.8522. +[2025-02-27 06:51:30,789 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:51:30,802 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5974 +[2025-02-27 06:51:30,803 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5974 +[2025-02-27 06:51:30,803 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:51:57,198 INFO hook.py line 109 1688082] Train: [87/100][50/300] Data 0.004 (0.008) Batch 0.399 (0.354) Remain 00:24:30 loss: 0.0170 Lr: 3.10499e-04 +[2025-02-27 06:52:15,024 INFO hook.py line 109 1688082] Train: [87/100][100/300] Data 0.004 (0.007) Batch 0.297 (0.355) Remain 00:24:17 loss: 0.0154 Lr: 3.03222e-04 +[2025-02-27 06:52:33,623 INFO hook.py line 109 1688082] Train: [87/100][150/300] Data 0.004 (0.008) Batch 0.295 (0.361) Remain 00:24:22 loss: 0.4026 Lr: 2.96026e-04 +[2025-02-27 06:52:51,123 INFO hook.py line 109 1688082] Train: [87/100][200/300] Data 0.005 (0.008) Batch 0.375 (0.358) Remain 00:23:53 loss: 0.0979 Lr: 2.88913e-04 +[2025-02-27 06:53:09,572 INFO hook.py line 109 1688082] Train: [87/100][250/300] Data 0.014 (0.008) Batch 0.345 (0.360) Remain 00:23:43 loss: 0.3654 Lr: 2.81881e-04 +[2025-02-27 06:53:22,977 INFO hook.py line 109 1688082] Train: [87/100][300/300] Data 0.002 (0.007) Batch 0.194 (0.345) Remain 00:22:25 loss: 0.1109 Lr: 2.74933e-04 +[2025-02-27 06:53:22,978 INFO misc.py line 135 1688082] Train result: loss: 0.2058 +[2025-02-27 06:53:23,068 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:53:41,282 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4077 +[2025-02-27 06:53:41,861 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9117 +[2025-02-27 06:53:41,915 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6577 +[2025-02-27 06:53:41,964 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7643 +[2025-02-27 06:53:42,004 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6917 +[2025-02-27 06:53:42,263 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.7482 +[2025-02-27 06:53:42,977 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8226 +[2025-02-27 06:53:43,020 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4674 +[2025-02-27 06:53:43,066 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2366 +[2025-02-27 06:53:43,103 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.7469 +[2025-02-27 06:53:43,153 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.8098 +[2025-02-27 06:53:43,190 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3355 +[2025-02-27 06:53:43,663 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3101 +[2025-02-27 06:53:43,698 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6264 +[2025-02-27 06:53:43,740 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9899 +[2025-02-27 06:53:43,793 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1157 +[2025-02-27 06:53:43,833 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8458 +[2025-02-27 06:53:43,864 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.2421 +[2025-02-27 06:53:43,905 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.5127 +[2025-02-27 06:53:43,941 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2417 +[2025-02-27 06:53:43,978 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3973 +[2025-02-27 06:53:44,028 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8502 +[2025-02-27 06:53:44,065 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9784 +[2025-02-27 06:53:44,113 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.1805 +[2025-02-27 06:53:44,154 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1455 +[2025-02-27 06:53:44,201 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9153 +[2025-02-27 06:53:44,252 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5383 +[2025-02-27 06:53:44,285 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7737 +[2025-02-27 06:53:44,312 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3794 +[2025-02-27 06:53:44,373 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6321 +[2025-02-27 06:53:44,428 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5940 +[2025-02-27 06:53:44,466 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0564 +[2025-02-27 06:53:44,516 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2039 +[2025-02-27 06:53:44,551 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3743 +[2025-02-27 06:53:44,586 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4477 +[2025-02-27 06:53:44,623 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.4457 +[2025-02-27 06:53:44,658 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5264 +[2025-02-27 06:53:44,688 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3189 +[2025-02-27 06:53:44,744 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6525 +[2025-02-27 06:53:44,803 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2469 +[2025-02-27 06:53:44,850 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1900 +[2025-02-27 06:53:44,884 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2413 +[2025-02-27 06:53:44,925 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5366 +[2025-02-27 06:53:44,979 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.8020 +[2025-02-27 06:53:45,018 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9322 +[2025-02-27 06:53:45,060 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0661 +[2025-02-27 06:53:45,098 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1351 +[2025-02-27 06:53:45,130 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7585 +[2025-02-27 06:53:45,161 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2806 +[2025-02-27 06:53:45,192 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0724 +[2025-02-27 06:53:45,221 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3593 +[2025-02-27 06:53:45,254 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2913 +[2025-02-27 06:53:45,279 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3244 +[2025-02-27 06:53:45,312 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3290 +[2025-02-27 06:53:45,346 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0555 +[2025-02-27 06:53:45,385 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2959 +[2025-02-27 06:53:45,417 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9778 +[2025-02-27 06:53:45,443 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9271 +[2025-02-27 06:53:45,479 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0754 +[2025-02-27 06:53:45,512 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0739 +[2025-02-27 06:53:45,536 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0429 +[2025-02-27 06:53:45,568 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8597 +[2025-02-27 06:53:45,602 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5647 +[2025-02-27 06:53:45,656 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6195 +[2025-02-27 06:53:45,683 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0713 +[2025-02-27 06:53:45,722 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7672 +[2025-02-27 06:53:45,758 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6630 +[2025-02-27 06:53:45,791 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0102 +[2025-02-27 06:53:45,821 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4036 +[2025-02-27 06:53:45,872 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.5143 +[2025-02-27 06:53:45,919 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4965 +[2025-02-27 06:53:45,971 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.5749 +[2025-02-27 06:53:46,017 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.4865 +[2025-02-27 06:53:46,056 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.1486 +[2025-02-27 06:53:46,102 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8874 +[2025-02-27 06:53:46,131 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9173 +[2025-02-27 06:53:46,182 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6257 +[2025-02-27 06:53:46,208 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5874 +[2025-02-27 06:53:47,634 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:53:47,635 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:53:47,635 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] wall : 0.7876 0.9236 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] floor : 0.9531 0.9770 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] cabinet : 0.4966 0.6250 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] bed : 0.6998 0.7764 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] chair : 0.8391 0.9367 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] sofa : 0.7412 0.8704 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] table : 0.6360 0.7414 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] door : 0.4865 0.6041 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] window : 0.4622 0.5869 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] bookshelf : 0.6717 0.8001 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] picture : 0.1625 0.2301 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] counter : 0.4502 0.5311 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] desk : 0.5102 0.7268 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] curtain : 0.5856 0.7279 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] refridgerator : 0.3659 0.4157 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] shower curtain : 0.5036 0.5732 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] toilet : 0.7881 0.9369 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] sink : 0.5181 0.6631 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] bathtub : 0.7375 0.8879 +[2025-02-27 06:53:47,635 INFO hook.py line 232 1688082] otherfurniture : 0.4308 0.5519 +[2025-02-27 06:53:47,635 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:53:47,635 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5913/0.7043/0.8523. +[2025-02-27 06:53:47,636 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:53:47,649 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5974 +[2025-02-27 06:53:47,649 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:54:11,886 INFO hook.py line 109 1688082] Train: [88/100][50/300] Data 0.005 (0.005) Batch 0.239 (0.272) Remain 00:17:25 loss: 0.3685 Lr: 2.68067e-04 +[2025-02-27 06:54:25,757 INFO hook.py line 109 1688082] Train: [88/100][100/300] Data 0.006 (0.005) Batch 0.306 (0.275) Remain 00:17:23 loss: 0.2351 Lr: 2.61284e-04 +[2025-02-27 06:54:45,004 INFO hook.py line 109 1688082] Train: [88/100][150/300] Data 0.010 (0.006) Batch 0.406 (0.312) Remain 00:19:30 loss: 0.0484 Lr: 2.54585e-04 +[2025-02-27 06:55:02,126 INFO hook.py line 109 1688082] Train: [88/100][200/300] Data 0.004 (0.006) Batch 0.265 (0.320) Remain 00:19:43 loss: 0.6602 Lr: 2.47968e-04 +[2025-02-27 06:55:27,555 INFO hook.py line 109 1688082] Train: [88/100][250/300] Data 0.009 (0.007) Batch 0.316 (0.358) Remain 00:21:46 loss: 0.1369 Lr: 2.41436e-04 +[2025-02-27 06:55:41,327 INFO hook.py line 109 1688082] Train: [88/100][300/300] Data 0.002 (0.006) Batch 0.190 (0.344) Remain 00:20:38 loss: 0.1866 Lr: 2.34987e-04 +[2025-02-27 06:55:41,328 INFO misc.py line 135 1688082] Train result: loss: 0.1899 +[2025-02-27 06:55:41,419 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:56:00,203 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3657 +[2025-02-27 06:56:00,940 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8578 +[2025-02-27 06:56:00,972 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6499 +[2025-02-27 06:56:01,025 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8017 +[2025-02-27 06:56:01,067 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6267 +[2025-02-27 06:56:01,122 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9336 +[2025-02-27 06:56:01,174 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8755 +[2025-02-27 06:56:01,215 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4175 +[2025-02-27 06:56:01,263 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2240 +[2025-02-27 06:56:01,413 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3280 +[2025-02-27 06:56:01,460 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7522 +[2025-02-27 06:56:01,496 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3208 +[2025-02-27 06:56:01,611 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4223 +[2025-02-27 06:56:01,648 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5705 +[2025-02-27 06:56:01,685 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.7190 +[2025-02-27 06:56:01,731 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1323 +[2025-02-27 06:56:01,768 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8297 +[2025-02-27 06:56:01,811 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0974 +[2025-02-27 06:56:01,854 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3091 +[2025-02-27 06:56:01,900 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.2952 +[2025-02-27 06:56:01,934 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3902 +[2025-02-27 06:56:01,973 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8517 +[2025-02-27 06:56:02,003 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0501 +[2025-02-27 06:56:02,044 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2906 +[2025-02-27 06:56:02,089 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1258 +[2025-02-27 06:56:02,129 INFO hook.py line 289 1688082] Test: [26/78] Loss 1.0274 +[2025-02-27 06:56:02,176 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.6619 +[2025-02-27 06:56:02,210 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7629 +[2025-02-27 06:56:02,251 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3888 +[2025-02-27 06:56:02,311 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6560 +[2025-02-27 06:56:02,365 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5623 +[2025-02-27 06:56:02,403 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9979 +[2025-02-27 06:56:02,457 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2333 +[2025-02-27 06:56:02,501 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.4163 +[2025-02-27 06:56:02,536 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5617 +[2025-02-27 06:56:02,574 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5414 +[2025-02-27 06:56:02,615 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5056 +[2025-02-27 06:56:02,643 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3810 +[2025-02-27 06:56:02,701 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5693 +[2025-02-27 06:56:02,745 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2112 +[2025-02-27 06:56:02,784 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2277 +[2025-02-27 06:56:02,811 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2796 +[2025-02-27 06:56:02,844 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5564 +[2025-02-27 06:56:02,901 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7349 +[2025-02-27 06:56:02,945 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9037 +[2025-02-27 06:56:02,994 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.0806 +[2025-02-27 06:56:03,037 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0206 +[2025-02-27 06:56:03,070 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7408 +[2025-02-27 06:56:03,101 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1175 +[2025-02-27 06:56:03,131 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1386 +[2025-02-27 06:56:03,159 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2936 +[2025-02-27 06:56:03,192 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.1759 +[2025-02-27 06:56:03,217 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4617 +[2025-02-27 06:56:03,250 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.3515 +[2025-02-27 06:56:03,284 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0690 +[2025-02-27 06:56:03,323 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.3188 +[2025-02-27 06:56:03,354 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9433 +[2025-02-27 06:56:03,380 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9853 +[2025-02-27 06:56:03,418 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0198 +[2025-02-27 06:56:03,449 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.1293 +[2025-02-27 06:56:03,474 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9560 +[2025-02-27 06:56:03,512 INFO hook.py line 289 1688082] Test: [62/78] Loss 1.0377 +[2025-02-27 06:56:03,547 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4771 +[2025-02-27 06:56:03,600 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7880 +[2025-02-27 06:56:03,627 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0629 +[2025-02-27 06:56:03,665 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7882 +[2025-02-27 06:56:03,702 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6819 +[2025-02-27 06:56:03,733 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0265 +[2025-02-27 06:56:03,762 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4117 +[2025-02-27 06:56:03,813 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3726 +[2025-02-27 06:56:03,853 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.4732 +[2025-02-27 06:56:03,901 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4412 +[2025-02-27 06:56:03,947 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5716 +[2025-02-27 06:56:03,984 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.2156 +[2025-02-27 06:56:04,030 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8112 +[2025-02-27 06:56:04,057 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.8742 +[2025-02-27 06:56:04,108 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7783 +[2025-02-27 06:56:04,132 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5769 +[2025-02-27 06:56:05,435 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:56:05,435 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:56:05,435 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] wall : 0.7864 0.9074 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] floor : 0.9531 0.9799 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] cabinet : 0.5096 0.6465 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] bed : 0.6946 0.7980 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] chair : 0.8395 0.9314 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] sofa : 0.7379 0.8682 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] table : 0.6343 0.7818 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] door : 0.4934 0.6476 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] window : 0.4565 0.5929 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] bookshelf : 0.6856 0.8079 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] picture : 0.1701 0.2437 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] counter : 0.4684 0.5839 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] desk : 0.5103 0.7190 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] curtain : 0.5811 0.7337 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] refridgerator : 0.3860 0.4665 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] shower curtain : 0.4961 0.5642 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] toilet : 0.8502 0.9201 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] sink : 0.5081 0.6001 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] bathtub : 0.7589 0.8887 +[2025-02-27 06:56:05,436 INFO hook.py line 232 1688082] otherfurniture : 0.4328 0.5262 +[2025-02-27 06:56:05,436 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:56:05,436 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5976/0.7104/0.8524. +[2025-02-27 06:56:05,437 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:56:05,452 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.5976 +[2025-02-27 06:56:05,452 INFO misc.py line 164 1688082] Currently Best mIoU: 0.5976 +[2025-02-27 06:56:05,452 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:56:32,151 INFO hook.py line 109 1688082] Train: [89/100][50/300] Data 0.005 (0.009) Batch 0.311 (0.358) Remain 00:21:10 loss: 0.1688 Lr: 2.28622e-04 +[2025-02-27 06:56:50,369 INFO hook.py line 109 1688082] Train: [89/100][100/300] Data 0.004 (0.008) Batch 0.382 (0.361) Remain 00:21:04 loss: 0.3681 Lr: 2.22342e-04 +[2025-02-27 06:57:08,676 INFO hook.py line 109 1688082] Train: [89/100][150/300] Data 0.010 (0.009) Batch 0.382 (0.363) Remain 00:20:52 loss: 0.1701 Lr: 2.16146e-04 +[2025-02-27 06:57:26,810 INFO hook.py line 109 1688082] Train: [89/100][200/300] Data 0.011 (0.009) Batch 0.411 (0.363) Remain 00:20:33 loss: 0.4631 Lr: 2.10034e-04 +[2025-02-27 06:57:45,211 INFO hook.py line 109 1688082] Train: [89/100][250/300] Data 0.004 (0.009) Batch 0.317 (0.364) Remain 00:20:19 loss: 0.0207 Lr: 2.04007e-04 +[2025-02-27 06:57:58,825 INFO hook.py line 109 1688082] Train: [89/100][300/300] Data 0.002 (0.008) Batch 0.208 (0.348) Remain 00:19:09 loss: 0.0790 Lr: 1.98065e-04 +[2025-02-27 06:57:58,826 INFO misc.py line 135 1688082] Train result: loss: 0.1910 +[2025-02-27 06:57:58,916 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 06:58:14,233 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3567 +[2025-02-27 06:58:14,274 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9195 +[2025-02-27 06:58:14,311 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.7119 +[2025-02-27 06:58:14,360 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7487 +[2025-02-27 06:58:14,431 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.7062 +[2025-02-27 06:58:14,861 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9620 +[2025-02-27 06:58:14,920 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8187 +[2025-02-27 06:58:14,949 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4262 +[2025-02-27 06:58:14,990 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2645 +[2025-02-27 06:58:15,020 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3301 +[2025-02-27 06:58:15,066 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7666 +[2025-02-27 06:58:15,096 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3449 +[2025-02-27 06:58:15,141 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3349 +[2025-02-27 06:58:15,178 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6332 +[2025-02-27 06:58:15,212 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8499 +[2025-02-27 06:58:15,256 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1551 +[2025-02-27 06:58:15,292 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7700 +[2025-02-27 06:58:15,323 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.1283 +[2025-02-27 06:58:15,362 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.2836 +[2025-02-27 06:58:15,396 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.3684 +[2025-02-27 06:58:15,428 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3436 +[2025-02-27 06:58:15,463 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7457 +[2025-02-27 06:58:15,489 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0993 +[2025-02-27 06:58:15,528 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2701 +[2025-02-27 06:58:15,574 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2307 +[2025-02-27 06:58:15,612 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9180 +[2025-02-27 06:58:15,658 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4972 +[2025-02-27 06:58:15,689 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7837 +[2025-02-27 06:58:15,714 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3798 +[2025-02-27 06:58:15,766 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.7078 +[2025-02-27 06:58:15,818 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6160 +[2025-02-27 06:58:15,849 INFO hook.py line 289 1688082] Test: [32/78] Loss 1.0386 +[2025-02-27 06:58:15,898 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1972 +[2025-02-27 06:58:15,932 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3988 +[2025-02-27 06:58:15,966 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4575 +[2025-02-27 06:58:16,005 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5134 +[2025-02-27 06:58:16,041 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5681 +[2025-02-27 06:58:16,068 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3512 +[2025-02-27 06:58:16,123 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.2180 +[2025-02-27 06:58:16,166 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2094 +[2025-02-27 06:58:16,205 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2378 +[2025-02-27 06:58:16,233 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2507 +[2025-02-27 06:58:16,266 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5296 +[2025-02-27 06:58:16,315 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7376 +[2025-02-27 06:58:16,346 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8977 +[2025-02-27 06:58:16,390 INFO hook.py line 289 1688082] Test: [46/78] Loss 0.9939 +[2025-02-27 06:58:16,423 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1146 +[2025-02-27 06:58:16,452 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7841 +[2025-02-27 06:58:16,480 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1205 +[2025-02-27 06:58:16,508 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0085 +[2025-02-27 06:58:16,533 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3814 +[2025-02-27 06:58:16,563 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.1962 +[2025-02-27 06:58:16,586 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3988 +[2025-02-27 06:58:16,616 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5183 +[2025-02-27 06:58:16,649 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0774 +[2025-02-27 06:58:16,685 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2791 +[2025-02-27 06:58:16,714 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9380 +[2025-02-27 06:58:16,738 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9393 +[2025-02-27 06:58:16,772 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0258 +[2025-02-27 06:58:16,801 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0434 +[2025-02-27 06:58:16,821 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0461 +[2025-02-27 06:58:16,851 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9298 +[2025-02-27 06:58:16,882 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.3030 +[2025-02-27 06:58:16,933 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7643 +[2025-02-27 06:58:16,957 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1208 +[2025-02-27 06:58:16,993 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7406 +[2025-02-27 06:58:17,027 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6477 +[2025-02-27 06:58:17,055 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9753 +[2025-02-27 06:58:17,082 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4231 +[2025-02-27 06:58:17,131 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3903 +[2025-02-27 06:58:17,169 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3774 +[2025-02-27 06:58:17,215 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4554 +[2025-02-27 06:58:17,259 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5846 +[2025-02-27 06:58:17,295 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3684 +[2025-02-27 06:58:17,339 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7915 +[2025-02-27 06:58:17,365 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0170 +[2025-02-27 06:58:17,414 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.7524 +[2025-02-27 06:58:17,437 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.5823 +[2025-02-27 06:58:18,535 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 06:58:18,535 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 06:58:18,536 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 06:58:18,536 INFO hook.py line 232 1688082] wall : 0.7901 0.9186 +[2025-02-27 06:58:18,536 INFO hook.py line 232 1688082] floor : 0.9513 0.9806 +[2025-02-27 06:58:18,536 INFO hook.py line 232 1688082] cabinet : 0.5046 0.6677 +[2025-02-27 06:58:18,536 INFO hook.py line 232 1688082] bed : 0.7047 0.8065 +[2025-02-27 06:58:18,536 INFO hook.py line 232 1688082] chair : 0.8506 0.9306 +[2025-02-27 06:58:18,536 INFO hook.py line 232 1688082] sofa : 0.7514 0.8637 +[2025-02-27 06:58:18,537 INFO hook.py line 232 1688082] table : 0.6366 0.7603 +[2025-02-27 06:58:18,537 INFO hook.py line 232 1688082] door : 0.4972 0.6372 +[2025-02-27 06:58:18,537 INFO hook.py line 232 1688082] window : 0.4512 0.5579 +[2025-02-27 06:58:18,537 INFO hook.py line 232 1688082] bookshelf : 0.6741 0.7898 +[2025-02-27 06:58:18,537 INFO hook.py line 232 1688082] picture : 0.1703 0.2317 +[2025-02-27 06:58:18,537 INFO hook.py line 232 1688082] counter : 0.4746 0.6110 +[2025-02-27 06:58:18,537 INFO hook.py line 232 1688082] desk : 0.5205 0.7452 +[2025-02-27 06:58:18,538 INFO hook.py line 232 1688082] curtain : 0.6140 0.7112 +[2025-02-27 06:58:18,538 INFO hook.py line 232 1688082] refridgerator : 0.3927 0.4653 +[2025-02-27 06:58:18,538 INFO hook.py line 232 1688082] shower curtain : 0.5042 0.5658 +[2025-02-27 06:58:18,538 INFO hook.py line 232 1688082] toilet : 0.8246 0.9232 +[2025-02-27 06:58:18,538 INFO hook.py line 232 1688082] sink : 0.5271 0.6506 +[2025-02-27 06:58:18,538 INFO hook.py line 232 1688082] bathtub : 0.7465 0.8943 +[2025-02-27 06:58:18,538 INFO hook.py line 232 1688082] otherfurniture : 0.4359 0.5362 +[2025-02-27 06:58:18,538 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 06:58:18,539 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6011/0.7124/0.8547. +[2025-02-27 06:58:18,540 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 06:58:18,561 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.6011 +[2025-02-27 06:58:18,561 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6011 +[2025-02-27 06:58:18,562 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 06:58:45,700 INFO hook.py line 109 1688082] Train: [90/100][50/300] Data 0.006 (0.010) Batch 0.386 (0.407) Remain 00:22:04 loss: 0.0260 Lr: 1.92208e-04 +[2025-02-27 06:59:02,550 INFO hook.py line 109 1688082] Train: [90/100][100/300] Data 0.004 (0.008) Batch 0.279 (0.371) Remain 00:19:47 loss: 0.1859 Lr: 1.86437e-04 +[2025-02-27 06:59:25,057 INFO hook.py line 109 1688082] Train: [90/100][150/300] Data 0.013 (0.009) Batch 0.407 (0.398) Remain 00:20:53 loss: 0.0399 Lr: 1.80751e-04 +[2025-02-27 06:59:43,827 INFO hook.py line 109 1688082] Train: [90/100][200/300] Data 0.003 (0.009) Batch 0.368 (0.392) Remain 00:20:16 loss: 0.1703 Lr: 1.75150e-04 +[2025-02-27 07:00:02,311 INFO hook.py line 109 1688082] Train: [90/100][250/300] Data 0.005 (0.009) Batch 0.369 (0.388) Remain 00:19:42 loss: 0.1331 Lr: 1.69636e-04 +[2025-02-27 07:00:15,513 INFO hook.py line 109 1688082] Train: [90/100][300/300] Data 0.001 (0.008) Batch 0.205 (0.367) Remain 00:18:20 loss: 0.3440 Lr: 1.64207e-04 +[2025-02-27 07:00:15,513 INFO misc.py line 135 1688082] Train result: loss: 0.1717 +[2025-02-27 07:00:15,617 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:00:34,697 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4545 +[2025-02-27 07:00:34,752 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9197 +[2025-02-27 07:00:34,794 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6497 +[2025-02-27 07:00:35,449 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8093 +[2025-02-27 07:00:35,490 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6790 +[2025-02-27 07:00:35,549 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.1585 +[2025-02-27 07:00:35,609 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8332 +[2025-02-27 07:00:35,892 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4330 +[2025-02-27 07:00:36,225 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1181 +[2025-02-27 07:00:36,269 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3992 +[2025-02-27 07:00:36,311 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7389 +[2025-02-27 07:00:36,342 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3054 +[2025-02-27 07:00:36,388 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.3261 +[2025-02-27 07:00:36,426 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5140 +[2025-02-27 07:00:36,466 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8826 +[2025-02-27 07:00:36,530 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1481 +[2025-02-27 07:00:36,566 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7920 +[2025-02-27 07:00:36,601 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0584 +[2025-02-27 07:00:36,646 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3850 +[2025-02-27 07:00:36,680 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4215 +[2025-02-27 07:00:36,714 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3742 +[2025-02-27 07:00:36,756 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8727 +[2025-02-27 07:00:36,785 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0343 +[2025-02-27 07:00:36,826 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3743 +[2025-02-27 07:00:36,866 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.3163 +[2025-02-27 07:00:36,916 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9176 +[2025-02-27 07:00:36,963 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4889 +[2025-02-27 07:00:36,999 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7489 +[2025-02-27 07:00:37,045 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3918 +[2025-02-27 07:00:37,101 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6124 +[2025-02-27 07:00:37,164 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6147 +[2025-02-27 07:00:37,199 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9819 +[2025-02-27 07:00:37,253 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2075 +[2025-02-27 07:00:37,295 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3795 +[2025-02-27 07:00:37,331 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4645 +[2025-02-27 07:00:37,370 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5700 +[2025-02-27 07:00:37,411 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5399 +[2025-02-27 07:00:37,440 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3642 +[2025-02-27 07:00:37,498 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.3777 +[2025-02-27 07:00:37,542 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2265 +[2025-02-27 07:00:37,582 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2416 +[2025-02-27 07:00:37,611 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2575 +[2025-02-27 07:00:37,644 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5446 +[2025-02-27 07:00:37,703 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7167 +[2025-02-27 07:00:37,744 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8417 +[2025-02-27 07:00:37,790 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1409 +[2025-02-27 07:00:37,826 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.0572 +[2025-02-27 07:00:37,858 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.6970 +[2025-02-27 07:00:37,889 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1095 +[2025-02-27 07:00:37,923 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0628 +[2025-02-27 07:00:37,953 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2229 +[2025-02-27 07:00:37,987 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2452 +[2025-02-27 07:00:38,015 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3927 +[2025-02-27 07:00:38,053 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.6286 +[2025-02-27 07:00:38,090 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0730 +[2025-02-27 07:00:38,132 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2750 +[2025-02-27 07:00:38,163 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.9214 +[2025-02-27 07:00:38,189 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9614 +[2025-02-27 07:00:38,227 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0471 +[2025-02-27 07:00:38,258 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0680 +[2025-02-27 07:00:38,286 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9414 +[2025-02-27 07:00:38,318 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.8988 +[2025-02-27 07:00:38,353 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5326 +[2025-02-27 07:00:38,409 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6653 +[2025-02-27 07:00:38,438 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1066 +[2025-02-27 07:00:38,477 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7988 +[2025-02-27 07:00:38,514 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5145 +[2025-02-27 07:00:38,546 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9321 +[2025-02-27 07:00:38,575 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3812 +[2025-02-27 07:00:38,627 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4050 +[2025-02-27 07:00:38,669 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.2919 +[2025-02-27 07:00:38,718 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4519 +[2025-02-27 07:00:38,763 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5950 +[2025-02-27 07:00:38,802 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.5431 +[2025-02-27 07:00:38,847 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7754 +[2025-02-27 07:00:38,875 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9801 +[2025-02-27 07:00:38,926 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6624 +[2025-02-27 07:00:38,952 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6123 +[2025-02-27 07:00:40,748 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:00:40,749 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:00:40,750 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:00:40,750 INFO hook.py line 232 1688082] wall : 0.7907 0.9145 +[2025-02-27 07:00:40,750 INFO hook.py line 232 1688082] floor : 0.9518 0.9804 +[2025-02-27 07:00:40,751 INFO hook.py line 232 1688082] cabinet : 0.5005 0.6427 +[2025-02-27 07:00:40,751 INFO hook.py line 232 1688082] bed : 0.6877 0.7665 +[2025-02-27 07:00:40,752 INFO hook.py line 232 1688082] chair : 0.8515 0.9352 +[2025-02-27 07:00:40,753 INFO hook.py line 232 1688082] sofa : 0.7495 0.8667 +[2025-02-27 07:00:40,754 INFO hook.py line 232 1688082] table : 0.6392 0.7704 +[2025-02-27 07:00:40,754 INFO hook.py line 232 1688082] door : 0.5013 0.6558 +[2025-02-27 07:00:40,754 INFO hook.py line 232 1688082] window : 0.4549 0.5759 +[2025-02-27 07:00:40,754 INFO hook.py line 232 1688082] bookshelf : 0.6817 0.8357 +[2025-02-27 07:00:40,754 INFO hook.py line 232 1688082] picture : 0.1544 0.2090 +[2025-02-27 07:00:40,755 INFO hook.py line 232 1688082] counter : 0.4884 0.5996 +[2025-02-27 07:00:40,755 INFO hook.py line 232 1688082] desk : 0.5111 0.7020 +[2025-02-27 07:00:40,756 INFO hook.py line 232 1688082] curtain : 0.6059 0.7358 +[2025-02-27 07:00:40,756 INFO hook.py line 232 1688082] refridgerator : 0.3795 0.4729 +[2025-02-27 07:00:40,757 INFO hook.py line 232 1688082] shower curtain : 0.5103 0.5695 +[2025-02-27 07:00:40,757 INFO hook.py line 232 1688082] toilet : 0.8276 0.9292 +[2025-02-27 07:00:40,757 INFO hook.py line 232 1688082] sink : 0.5147 0.6340 +[2025-02-27 07:00:40,757 INFO hook.py line 232 1688082] bathtub : 0.7262 0.8948 +[2025-02-27 07:00:40,757 INFO hook.py line 232 1688082] otherfurniture : 0.4391 0.5401 +[2025-02-27 07:00:40,757 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:00:40,758 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.5983/0.7115/0.8545. +[2025-02-27 07:00:40,759 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:00:40,789 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6011 +[2025-02-27 07:00:40,791 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:01:08,068 INFO hook.py line 109 1688082] Train: [91/100][50/300] Data 0.011 (0.008) Batch 0.343 (0.365) Remain 00:17:55 loss: 0.0465 Lr: 1.58865e-04 +[2025-02-27 07:01:25,957 INFO hook.py line 109 1688082] Train: [91/100][100/300] Data 0.005 (0.008) Batch 0.298 (0.361) Remain 00:17:27 loss: 0.3001 Lr: 1.53609e-04 +[2025-02-27 07:01:44,090 INFO hook.py line 109 1688082] Train: [91/100][150/300] Data 0.007 (0.008) Batch 0.355 (0.362) Remain 00:17:10 loss: 0.3188 Lr: 1.48439e-04 +[2025-02-27 07:02:02,977 INFO hook.py line 109 1688082] Train: [91/100][200/300] Data 0.004 (0.008) Batch 0.387 (0.366) Remain 00:17:04 loss: 0.2013 Lr: 1.43356e-04 +[2025-02-27 07:02:17,334 INFO hook.py line 109 1688082] Train: [91/100][250/300] Data 0.004 (0.007) Batch 0.272 (0.350) Remain 00:16:02 loss: 0.0368 Lr: 1.38360e-04 +[2025-02-27 07:02:30,534 INFO hook.py line 109 1688082] Train: [91/100][300/300] Data 0.005 (0.007) Batch 0.306 (0.335) Remain 00:15:05 loss: 0.0498 Lr: 1.33548e-04 +[2025-02-27 07:02:30,538 INFO misc.py line 135 1688082] Train result: loss: 0.1727 +[2025-02-27 07:02:30,674 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:03:00,583 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4408 +[2025-02-27 07:03:00,671 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9074 +[2025-02-27 07:03:00,717 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6313 +[2025-02-27 07:03:00,770 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7925 +[2025-02-27 07:03:00,815 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6450 +[2025-02-27 07:03:00,870 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0001 +[2025-02-27 07:03:00,925 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8415 +[2025-02-27 07:03:00,969 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4015 +[2025-02-27 07:03:07,596 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2523 +[2025-02-27 07:03:07,923 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4409 +[2025-02-27 07:03:08,488 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7431 +[2025-02-27 07:03:08,529 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3762 +[2025-02-27 07:03:08,579 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4973 +[2025-02-27 07:03:08,625 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6248 +[2025-02-27 07:03:08,914 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8253 +[2025-02-27 07:03:09,295 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1493 +[2025-02-27 07:03:09,345 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7690 +[2025-02-27 07:03:09,386 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0640 +[2025-02-27 07:03:09,433 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3698 +[2025-02-27 07:03:09,465 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4755 +[2025-02-27 07:03:09,502 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3719 +[2025-02-27 07:03:09,541 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8052 +[2025-02-27 07:03:09,568 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0302 +[2025-02-27 07:03:09,610 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3325 +[2025-02-27 07:03:09,650 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2481 +[2025-02-27 07:03:09,689 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9940 +[2025-02-27 07:03:09,738 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5601 +[2025-02-27 07:03:09,771 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.8004 +[2025-02-27 07:03:09,802 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3742 +[2025-02-27 07:03:09,855 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6007 +[2025-02-27 07:03:09,909 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6320 +[2025-02-27 07:03:09,941 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9534 +[2025-02-27 07:03:09,993 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1745 +[2025-02-27 07:03:10,029 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3679 +[2025-02-27 07:03:10,065 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4744 +[2025-02-27 07:03:10,104 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6434 +[2025-02-27 07:03:10,143 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5093 +[2025-02-27 07:03:10,176 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3800 +[2025-02-27 07:03:10,243 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.4387 +[2025-02-27 07:03:10,290 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2208 +[2025-02-27 07:03:10,342 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.3148 +[2025-02-27 07:03:10,368 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2400 +[2025-02-27 07:03:10,414 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.6010 +[2025-02-27 07:03:10,468 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.6967 +[2025-02-27 07:03:10,499 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9141 +[2025-02-27 07:03:10,547 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1488 +[2025-02-27 07:03:10,583 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1262 +[2025-02-27 07:03:10,615 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.6975 +[2025-02-27 07:03:10,645 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1259 +[2025-02-27 07:03:10,676 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0581 +[2025-02-27 07:03:10,703 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2741 +[2025-02-27 07:03:10,735 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2139 +[2025-02-27 07:03:10,762 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3923 +[2025-02-27 07:03:10,795 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5750 +[2025-02-27 07:03:10,829 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.1112 +[2025-02-27 07:03:10,868 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2664 +[2025-02-27 07:03:10,898 INFO hook.py line 289 1688082] Test: [57/78] Loss 1.0140 +[2025-02-27 07:03:10,923 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9270 +[2025-02-27 07:03:10,960 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0466 +[2025-02-27 07:03:10,991 INFO hook.py line 289 1688082] Test: [60/78] Loss 0.9795 +[2025-02-27 07:03:11,016 INFO hook.py line 289 1688082] Test: [61/78] Loss 1.0269 +[2025-02-27 07:03:11,049 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9733 +[2025-02-27 07:03:11,082 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.5299 +[2025-02-27 07:03:11,136 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7126 +[2025-02-27 07:03:11,162 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.1231 +[2025-02-27 07:03:11,200 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7589 +[2025-02-27 07:03:11,236 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6260 +[2025-02-27 07:03:11,267 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9742 +[2025-02-27 07:03:11,296 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3813 +[2025-02-27 07:03:11,347 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4809 +[2025-02-27 07:03:11,388 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3049 +[2025-02-27 07:03:11,436 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4290 +[2025-02-27 07:03:11,481 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5437 +[2025-02-27 07:03:11,521 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3617 +[2025-02-27 07:03:11,567 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7885 +[2025-02-27 07:03:11,595 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.8859 +[2025-02-27 07:03:11,645 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6599 +[2025-02-27 07:03:11,672 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6558 +[2025-02-27 07:03:13,171 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:03:13,171 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:03:13,171 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] wall : 0.7875 0.9157 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] floor : 0.9525 0.9811 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] cabinet : 0.5048 0.6422 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] bed : 0.6992 0.7871 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] chair : 0.8531 0.9241 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] sofa : 0.7474 0.8747 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] table : 0.6413 0.7689 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] door : 0.4991 0.6484 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] window : 0.4578 0.5773 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] bookshelf : 0.6809 0.8321 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] picture : 0.1546 0.2339 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] counter : 0.4949 0.6308 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] desk : 0.5091 0.6983 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] curtain : 0.6012 0.7010 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] refridgerator : 0.3830 0.4509 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] shower curtain : 0.5020 0.5506 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] toilet : 0.8339 0.9340 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] sink : 0.5250 0.6666 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] bathtub : 0.7353 0.8868 +[2025-02-27 07:03:13,172 INFO hook.py line 232 1688082] otherfurniture : 0.4426 0.5490 +[2025-02-27 07:03:13,172 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:03:13,172 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6003/0.7127/0.8544. +[2025-02-27 07:03:13,173 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:03:13,196 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6011 +[2025-02-27 07:03:13,196 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:03:39,812 INFO hook.py line 109 1688082] Train: [92/100][50/300] Data 0.005 (0.009) Batch 0.306 (0.401) Remain 00:17:43 loss: 0.2873 Lr: 1.28724e-04 +[2025-02-27 07:03:58,016 INFO hook.py line 109 1688082] Train: [92/100][100/300] Data 0.013 (0.008) Batch 0.345 (0.382) Remain 00:16:33 loss: 0.1511 Lr: 1.23988e-04 +[2025-02-27 07:04:17,235 INFO hook.py line 109 1688082] Train: [92/100][150/300] Data 0.010 (0.008) Batch 0.498 (0.383) Remain 00:16:16 loss: 0.0455 Lr: 1.19338e-04 +[2025-02-27 07:04:35,567 INFO hook.py line 109 1688082] Train: [92/100][200/300] Data 0.012 (0.008) Batch 0.453 (0.379) Remain 00:15:46 loss: 0.2196 Lr: 1.14777e-04 +[2025-02-27 07:04:54,236 INFO hook.py line 109 1688082] Train: [92/100][250/300] Data 0.008 (0.008) Batch 0.305 (0.378) Remain 00:15:25 loss: 0.4551 Lr: 1.10302e-04 +[2025-02-27 07:05:07,816 INFO hook.py line 109 1688082] Train: [92/100][300/300] Data 0.002 (0.007) Batch 0.196 (0.360) Remain 00:14:23 loss: 0.3565 Lr: 1.05916e-04 +[2025-02-27 07:05:07,817 INFO misc.py line 135 1688082] Train result: loss: 0.1819 +[2025-02-27 07:05:07,913 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:05:26,239 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4381 +[2025-02-27 07:05:26,307 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8613 +[2025-02-27 07:05:27,514 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6571 +[2025-02-27 07:05:27,844 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.7945 +[2025-02-27 07:05:27,889 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6473 +[2025-02-27 07:05:27,952 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0254 +[2025-02-27 07:05:28,022 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8120 +[2025-02-27 07:05:28,054 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4682 +[2025-02-27 07:05:28,104 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1932 +[2025-02-27 07:05:28,147 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3898 +[2025-02-27 07:05:28,205 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7329 +[2025-02-27 07:05:28,243 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3721 +[2025-02-27 07:05:28,290 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4453 +[2025-02-27 07:05:28,331 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5993 +[2025-02-27 07:05:28,368 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8726 +[2025-02-27 07:05:28,419 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1305 +[2025-02-27 07:05:28,456 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7519 +[2025-02-27 07:05:28,499 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0284 +[2025-02-27 07:05:28,543 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3590 +[2025-02-27 07:05:28,576 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4050 +[2025-02-27 07:05:28,612 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3695 +[2025-02-27 07:05:28,657 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8219 +[2025-02-27 07:05:28,688 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0387 +[2025-02-27 07:05:28,733 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3801 +[2025-02-27 07:05:28,777 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1742 +[2025-02-27 07:05:28,816 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.8966 +[2025-02-27 07:05:28,865 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4498 +[2025-02-27 07:05:28,901 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7652 +[2025-02-27 07:05:28,943 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3966 +[2025-02-27 07:05:28,997 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6074 +[2025-02-27 07:05:29,051 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.5852 +[2025-02-27 07:05:29,085 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9922 +[2025-02-27 07:05:29,135 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2185 +[2025-02-27 07:05:29,171 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3732 +[2025-02-27 07:05:29,215 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4805 +[2025-02-27 07:05:29,250 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5577 +[2025-02-27 07:05:29,287 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5429 +[2025-02-27 07:05:29,327 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3616 +[2025-02-27 07:05:29,384 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.6569 +[2025-02-27 07:05:29,430 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2033 +[2025-02-27 07:05:29,471 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2426 +[2025-02-27 07:05:29,498 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2677 +[2025-02-27 07:05:29,543 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5760 +[2025-02-27 07:05:29,599 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7724 +[2025-02-27 07:05:29,644 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9798 +[2025-02-27 07:05:29,691 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1093 +[2025-02-27 07:05:29,726 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2570 +[2025-02-27 07:05:29,758 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7483 +[2025-02-27 07:05:29,789 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0471 +[2025-02-27 07:05:29,819 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1118 +[2025-02-27 07:05:29,848 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2373 +[2025-02-27 07:05:29,881 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2139 +[2025-02-27 07:05:29,906 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3793 +[2025-02-27 07:05:29,951 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5419 +[2025-02-27 07:05:29,995 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0776 +[2025-02-27 07:05:30,045 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2760 +[2025-02-27 07:05:30,076 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8854 +[2025-02-27 07:05:30,102 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9678 +[2025-02-27 07:05:30,140 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0300 +[2025-02-27 07:05:30,172 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0410 +[2025-02-27 07:05:30,195 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9503 +[2025-02-27 07:05:30,228 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9338 +[2025-02-27 07:05:30,262 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4522 +[2025-02-27 07:05:30,316 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7591 +[2025-02-27 07:05:30,344 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0226 +[2025-02-27 07:05:30,382 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7274 +[2025-02-27 07:05:30,419 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5532 +[2025-02-27 07:05:30,451 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0012 +[2025-02-27 07:05:30,480 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4048 +[2025-02-27 07:05:30,531 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3854 +[2025-02-27 07:05:30,572 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3915 +[2025-02-27 07:05:30,621 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4935 +[2025-02-27 07:05:30,667 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5514 +[2025-02-27 07:05:30,705 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3723 +[2025-02-27 07:05:30,751 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7959 +[2025-02-27 07:05:30,779 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.8689 +[2025-02-27 07:05:30,831 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6573 +[2025-02-27 07:05:30,856 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6236 +[2025-02-27 07:05:32,278 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:05:32,279 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:05:32,279 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:05:32,279 INFO hook.py line 232 1688082] wall : 0.7875 0.9162 +[2025-02-27 07:05:32,279 INFO hook.py line 232 1688082] floor : 0.9525 0.9808 +[2025-02-27 07:05:32,279 INFO hook.py line 232 1688082] cabinet : 0.4995 0.6450 +[2025-02-27 07:05:32,279 INFO hook.py line 232 1688082] bed : 0.6915 0.7872 +[2025-02-27 07:05:32,279 INFO hook.py line 232 1688082] chair : 0.8492 0.9370 +[2025-02-27 07:05:32,279 INFO hook.py line 232 1688082] sofa : 0.7570 0.8539 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] table : 0.6447 0.7616 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] door : 0.4892 0.6083 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] window : 0.4621 0.6122 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] bookshelf : 0.6841 0.8080 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] picture : 0.1544 0.2084 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] counter : 0.4997 0.6805 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] desk : 0.5163 0.7141 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] curtain : 0.5988 0.7404 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] refridgerator : 0.3780 0.4325 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] shower curtain : 0.4886 0.5645 +[2025-02-27 07:05:32,280 INFO hook.py line 232 1688082] toilet : 0.8309 0.9316 +[2025-02-27 07:05:32,281 INFO hook.py line 232 1688082] sink : 0.5292 0.6435 +[2025-02-27 07:05:32,281 INFO hook.py line 232 1688082] bathtub : 0.7446 0.8891 +[2025-02-27 07:05:32,281 INFO hook.py line 232 1688082] otherfurniture : 0.4448 0.5458 +[2025-02-27 07:05:32,281 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:05:32,281 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6001/0.7130/0.8544. +[2025-02-27 07:05:32,282 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:05:32,294 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6011 +[2025-02-27 07:05:32,294 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:05:53,538 INFO hook.py line 109 1688082] Train: [93/100][50/300] Data 0.003 (0.004) Batch 0.237 (0.273) Remain 00:10:40 loss: 0.1310 Lr: 1.01618e-04 +[2025-02-27 07:06:11,518 INFO hook.py line 109 1688082] Train: [93/100][100/300] Data 0.005 (0.004) Batch 0.369 (0.318) Remain 00:12:10 loss: 0.0475 Lr: 9.74072e-05 +[2025-02-27 07:06:30,456 INFO hook.py line 109 1688082] Train: [93/100][150/300] Data 0.003 (0.005) Batch 0.351 (0.338) Remain 00:12:41 loss: 0.0117 Lr: 9.32851e-05 +[2025-02-27 07:06:50,623 INFO hook.py line 109 1688082] Train: [93/100][200/300] Data 0.008 (0.006) Batch 0.628 (0.355) Remain 00:13:00 loss: 0.0127 Lr: 8.92512e-05 +[2025-02-27 07:07:11,512 INFO hook.py line 109 1688082] Train: [93/100][250/300] Data 0.006 (0.007) Batch 0.423 (0.368) Remain 00:13:10 loss: 0.0707 Lr: 8.53057e-05 +[2025-02-27 07:07:25,589 INFO hook.py line 109 1688082] Train: [93/100][300/300] Data 0.002 (0.006) Batch 0.187 (0.353) Remain 00:12:21 loss: 0.4044 Lr: 8.14488e-05 +[2025-02-27 07:07:25,590 INFO misc.py line 135 1688082] Train result: loss: 0.1727 +[2025-02-27 07:07:25,682 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:07:44,909 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.3789 +[2025-02-27 07:07:45,449 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9153 +[2025-02-27 07:07:45,482 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6853 +[2025-02-27 07:07:45,531 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8458 +[2025-02-27 07:07:45,567 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6599 +[2025-02-27 07:07:45,618 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0607 +[2025-02-27 07:07:45,668 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8096 +[2025-02-27 07:07:45,708 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4532 +[2025-02-27 07:07:45,750 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1764 +[2025-02-27 07:07:45,785 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3340 +[2025-02-27 07:07:45,829 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7964 +[2025-02-27 07:07:45,862 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2214 +[2025-02-27 07:07:45,918 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5060 +[2025-02-27 07:07:45,956 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.7000 +[2025-02-27 07:07:45,994 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.9127 +[2025-02-27 07:07:46,041 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1243 +[2025-02-27 07:07:46,091 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8564 +[2025-02-27 07:07:46,137 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0723 +[2025-02-27 07:07:46,186 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3340 +[2025-02-27 07:07:46,226 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.5105 +[2025-02-27 07:07:46,258 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3937 +[2025-02-27 07:07:46,297 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8235 +[2025-02-27 07:07:46,325 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0536 +[2025-02-27 07:07:46,367 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.2744 +[2025-02-27 07:07:46,409 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2007 +[2025-02-27 07:07:46,447 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9081 +[2025-02-27 07:07:46,507 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5553 +[2025-02-27 07:07:46,545 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7801 +[2025-02-27 07:07:46,574 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3750 +[2025-02-27 07:07:46,636 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6526 +[2025-02-27 07:07:46,702 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6508 +[2025-02-27 07:07:46,746 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9596 +[2025-02-27 07:07:46,796 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2356 +[2025-02-27 07:07:46,833 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3698 +[2025-02-27 07:07:46,869 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5040 +[2025-02-27 07:07:46,917 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5571 +[2025-02-27 07:07:46,952 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5577 +[2025-02-27 07:07:46,994 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3320 +[2025-02-27 07:07:47,055 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.4778 +[2025-02-27 07:07:47,098 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2686 +[2025-02-27 07:07:47,139 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.1941 +[2025-02-27 07:07:47,165 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2566 +[2025-02-27 07:07:47,199 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.4859 +[2025-02-27 07:07:47,259 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7784 +[2025-02-27 07:07:47,290 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8972 +[2025-02-27 07:07:47,346 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1292 +[2025-02-27 07:07:47,383 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1983 +[2025-02-27 07:07:47,413 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7639 +[2025-02-27 07:07:47,444 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.2375 +[2025-02-27 07:07:47,475 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.1076 +[2025-02-27 07:07:47,503 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3216 +[2025-02-27 07:07:47,536 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2163 +[2025-02-27 07:07:47,565 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3967 +[2025-02-27 07:07:47,598 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5458 +[2025-02-27 07:07:47,633 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0652 +[2025-02-27 07:07:47,671 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2924 +[2025-02-27 07:07:47,702 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8460 +[2025-02-27 07:07:47,727 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9134 +[2025-02-27 07:07:47,765 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0149 +[2025-02-27 07:07:47,798 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0740 +[2025-02-27 07:07:47,824 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9417 +[2025-02-27 07:07:47,858 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9392 +[2025-02-27 07:07:47,893 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4360 +[2025-02-27 07:07:47,946 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7100 +[2025-02-27 07:07:47,974 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0952 +[2025-02-27 07:07:48,014 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7294 +[2025-02-27 07:07:48,052 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6016 +[2025-02-27 07:07:48,084 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0206 +[2025-02-27 07:07:48,113 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4229 +[2025-02-27 07:07:48,165 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4341 +[2025-02-27 07:07:48,206 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3276 +[2025-02-27 07:07:48,255 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4751 +[2025-02-27 07:07:48,302 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5471 +[2025-02-27 07:07:48,341 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4276 +[2025-02-27 07:07:48,386 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.8387 +[2025-02-27 07:07:48,415 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0287 +[2025-02-27 07:07:48,467 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6490 +[2025-02-27 07:07:48,493 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6369 +[2025-02-27 07:07:50,013 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:07:50,014 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:07:50,015 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] wall : 0.7897 0.9217 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] floor : 0.9528 0.9799 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] cabinet : 0.5052 0.6436 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] bed : 0.6851 0.7907 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] chair : 0.8527 0.9330 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] sofa : 0.7503 0.8725 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] table : 0.6434 0.7667 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] door : 0.4956 0.6363 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] window : 0.4462 0.5454 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] bookshelf : 0.6853 0.8209 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] picture : 0.1611 0.2183 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] counter : 0.4947 0.6475 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] desk : 0.5210 0.7290 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] curtain : 0.6027 0.7168 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] refridgerator : 0.3806 0.4356 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] shower curtain : 0.5226 0.5998 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] toilet : 0.8245 0.9354 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] sink : 0.5297 0.6643 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] bathtub : 0.7303 0.8898 +[2025-02-27 07:07:50,015 INFO hook.py line 232 1688082] otherfurniture : 0.4447 0.5433 +[2025-02-27 07:07:50,015 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:07:50,015 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6009/0.7145/0.8554. +[2025-02-27 07:07:50,016 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:07:50,041 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6011 +[2025-02-27 07:07:50,042 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:08:16,407 INFO hook.py line 109 1688082] Train: [94/100][50/300] Data 0.013 (0.021) Batch 0.463 (0.412) Remain 00:14:04 loss: 0.2859 Lr: 7.76806e-05 +[2025-02-27 07:08:34,318 INFO hook.py line 109 1688082] Train: [94/100][100/300] Data 0.008 (0.013) Batch 0.281 (0.384) Remain 00:12:48 loss: 0.0614 Lr: 7.40011e-05 +[2025-02-27 07:08:52,852 INFO hook.py line 109 1688082] Train: [94/100][150/300] Data 0.004 (0.011) Batch 0.324 (0.380) Remain 00:12:20 loss: 0.3409 Lr: 7.04106e-05 +[2025-02-27 07:09:11,417 INFO hook.py line 109 1688082] Train: [94/100][200/300] Data 0.009 (0.011) Batch 0.336 (0.378) Remain 00:11:57 loss: 0.1040 Lr: 6.69090e-05 +[2025-02-27 07:09:29,993 INFO hook.py line 109 1688082] Train: [94/100][250/300] Data 0.009 (0.010) Batch 0.422 (0.376) Remain 00:11:36 loss: 0.1309 Lr: 6.34966e-05 +[2025-02-27 07:09:43,747 INFO hook.py line 109 1688082] Train: [94/100][300/300] Data 0.001 (0.009) Batch 0.191 (0.359) Remain 00:10:46 loss: 0.2797 Lr: 6.01733e-05 +[2025-02-27 07:09:43,747 INFO misc.py line 135 1688082] Train result: loss: 0.1566 +[2025-02-27 07:09:43,839 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:09:56,741 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4080 +[2025-02-27 07:09:57,305 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9066 +[2025-02-27 07:09:57,496 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6964 +[2025-02-27 07:09:57,540 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8046 +[2025-02-27 07:09:57,573 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.5972 +[2025-02-27 07:09:57,620 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0026 +[2025-02-27 07:09:57,668 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8432 +[2025-02-27 07:09:57,700 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4194 +[2025-02-27 07:09:57,741 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2170 +[2025-02-27 07:09:57,773 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3795 +[2025-02-27 07:09:57,816 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7570 +[2025-02-27 07:09:57,850 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3144 +[2025-02-27 07:09:57,896 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4970 +[2025-02-27 07:09:57,931 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6422 +[2025-02-27 07:09:57,966 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8495 +[2025-02-27 07:09:58,010 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1212 +[2025-02-27 07:09:58,047 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8267 +[2025-02-27 07:09:58,074 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9487 +[2025-02-27 07:09:58,112 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3112 +[2025-02-27 07:09:58,143 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4034 +[2025-02-27 07:09:58,177 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3575 +[2025-02-27 07:09:58,214 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8168 +[2025-02-27 07:09:58,250 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0684 +[2025-02-27 07:09:58,296 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3212 +[2025-02-27 07:09:58,362 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2170 +[2025-02-27 07:09:58,409 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9122 +[2025-02-27 07:09:58,472 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.4547 +[2025-02-27 07:09:58,537 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7778 +[2025-02-27 07:09:58,594 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3724 +[2025-02-27 07:09:58,657 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6378 +[2025-02-27 07:09:58,752 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6205 +[2025-02-27 07:09:58,826 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9303 +[2025-02-27 07:09:58,908 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2472 +[2025-02-27 07:09:58,981 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3748 +[2025-02-27 07:09:59,055 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4705 +[2025-02-27 07:09:59,116 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6098 +[2025-02-27 07:09:59,168 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5764 +[2025-02-27 07:09:59,204 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3473 +[2025-02-27 07:09:59,266 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5191 +[2025-02-27 07:09:59,308 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2542 +[2025-02-27 07:09:59,353 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2055 +[2025-02-27 07:09:59,388 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2650 +[2025-02-27 07:09:59,430 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5190 +[2025-02-27 07:09:59,489 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7370 +[2025-02-27 07:09:59,521 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9062 +[2025-02-27 07:09:59,566 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1418 +[2025-02-27 07:09:59,609 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.2297 +[2025-02-27 07:09:59,641 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7286 +[2025-02-27 07:09:59,680 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0941 +[2025-02-27 07:09:59,712 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0669 +[2025-02-27 07:09:59,740 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.1709 +[2025-02-27 07:09:59,774 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2167 +[2025-02-27 07:09:59,807 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.3995 +[2025-02-27 07:09:59,847 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4706 +[2025-02-27 07:09:59,881 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0690 +[2025-02-27 07:09:59,925 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2861 +[2025-02-27 07:09:59,955 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8764 +[2025-02-27 07:09:59,987 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9640 +[2025-02-27 07:10:00,023 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0502 +[2025-02-27 07:10:00,054 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0618 +[2025-02-27 07:10:00,084 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9524 +[2025-02-27 07:10:00,116 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9369 +[2025-02-27 07:10:00,150 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4261 +[2025-02-27 07:10:00,209 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7327 +[2025-02-27 07:10:00,239 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0490 +[2025-02-27 07:10:00,279 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7507 +[2025-02-27 07:10:00,316 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.6215 +[2025-02-27 07:10:00,349 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0039 +[2025-02-27 07:10:00,384 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.3981 +[2025-02-27 07:10:00,435 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3558 +[2025-02-27 07:10:00,482 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3702 +[2025-02-27 07:10:00,537 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4817 +[2025-02-27 07:10:00,583 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5851 +[2025-02-27 07:10:00,631 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3532 +[2025-02-27 07:10:00,677 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7563 +[2025-02-27 07:10:00,707 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0395 +[2025-02-27 07:10:00,759 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6151 +[2025-02-27 07:10:00,791 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6239 +[2025-02-27 07:10:02,536 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:10:02,536 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:10:02,536 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:10:02,536 INFO hook.py line 232 1688082] wall : 0.7902 0.9184 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] floor : 0.9528 0.9806 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] cabinet : 0.5021 0.6441 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] bed : 0.6877 0.8028 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] chair : 0.8509 0.9363 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] sofa : 0.7523 0.8521 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] table : 0.6420 0.7789 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] door : 0.4921 0.6146 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] window : 0.4571 0.5774 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] bookshelf : 0.6841 0.8200 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] picture : 0.1598 0.2180 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] counter : 0.4920 0.6398 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] desk : 0.5132 0.6950 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] curtain : 0.6006 0.7342 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] refridgerator : 0.3774 0.4327 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] shower curtain : 0.5115 0.5822 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] toilet : 0.8457 0.9341 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] sink : 0.5258 0.6255 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] bathtub : 0.7427 0.8916 +[2025-02-27 07:10:02,537 INFO hook.py line 232 1688082] otherfurniture : 0.4450 0.5528 +[2025-02-27 07:10:02,537 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:10:02,537 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6013/0.7116/0.8552. +[2025-02-27 07:10:02,538 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:10:02,571 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.6013 +[2025-02-27 07:10:02,572 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6013 +[2025-02-27 07:10:02,573 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:10:27,503 INFO hook.py line 109 1688082] Train: [95/100][50/300] Data 0.008 (0.022) Batch 0.397 (0.346) Remain 00:10:05 loss: 0.3240 Lr: 5.70032e-05 +[2025-02-27 07:10:41,811 INFO hook.py line 109 1688082] Train: [95/100][100/300] Data 0.003 (0.013) Batch 0.256 (0.315) Remain 00:08:55 loss: 0.1252 Lr: 5.38569e-05 +[2025-02-27 07:11:04,764 INFO hook.py line 109 1688082] Train: [95/100][150/300] Data 0.004 (0.012) Batch 0.368 (0.364) Remain 00:10:00 loss: 0.1720 Lr: 5.08001e-05 +[2025-02-27 07:11:23,099 INFO hook.py line 109 1688082] Train: [95/100][200/300] Data 0.003 (0.011) Batch 0.328 (0.365) Remain 00:09:43 loss: 0.0261 Lr: 4.78329e-05 +[2025-02-27 07:11:42,055 INFO hook.py line 109 1688082] Train: [95/100][250/300] Data 0.004 (0.010) Batch 0.318 (0.368) Remain 00:09:29 loss: 0.0601 Lr: 4.49554e-05 +[2025-02-27 07:11:55,797 INFO hook.py line 109 1688082] Train: [95/100][300/300] Data 0.001 (0.009) Batch 0.202 (0.352) Remain 00:08:48 loss: 0.1996 Lr: 4.21677e-05 +[2025-02-27 07:11:55,798 INFO misc.py line 135 1688082] Train result: loss: 0.1663 +[2025-02-27 07:11:55,891 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:12:14,491 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4260 +[2025-02-27 07:12:15,685 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8840 +[2025-02-27 07:12:15,728 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6383 +[2025-02-27 07:12:15,772 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8197 +[2025-02-27 07:12:15,813 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6649 +[2025-02-27 07:12:15,863 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0192 +[2025-02-27 07:12:15,911 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8107 +[2025-02-27 07:12:15,951 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4540 +[2025-02-27 07:12:16,002 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1850 +[2025-02-27 07:12:16,043 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4172 +[2025-02-27 07:12:16,098 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7553 +[2025-02-27 07:12:16,140 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3048 +[2025-02-27 07:12:16,188 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4344 +[2025-02-27 07:12:16,225 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6297 +[2025-02-27 07:12:16,260 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8307 +[2025-02-27 07:12:16,304 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1129 +[2025-02-27 07:12:16,342 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8542 +[2025-02-27 07:12:16,384 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9859 +[2025-02-27 07:12:16,434 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3477 +[2025-02-27 07:12:16,475 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4729 +[2025-02-27 07:12:16,509 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3725 +[2025-02-27 07:12:16,549 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8175 +[2025-02-27 07:12:16,578 INFO hook.py line 289 1688082] Test: [23/78] Loss 0.9958 +[2025-02-27 07:12:16,628 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3347 +[2025-02-27 07:12:16,672 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2528 +[2025-02-27 07:12:16,713 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9562 +[2025-02-27 07:12:16,760 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5620 +[2025-02-27 07:12:16,795 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7681 +[2025-02-27 07:12:16,832 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3699 +[2025-02-27 07:12:16,894 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6365 +[2025-02-27 07:12:16,948 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6151 +[2025-02-27 07:12:16,980 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9417 +[2025-02-27 07:12:17,031 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1915 +[2025-02-27 07:12:17,067 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3550 +[2025-02-27 07:12:17,105 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4926 +[2025-02-27 07:12:17,145 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.5790 +[2025-02-27 07:12:17,187 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5587 +[2025-02-27 07:12:17,219 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3417 +[2025-02-27 07:12:17,275 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5022 +[2025-02-27 07:12:17,318 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2860 +[2025-02-27 07:12:17,359 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2191 +[2025-02-27 07:12:17,399 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2605 +[2025-02-27 07:12:17,438 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5521 +[2025-02-27 07:12:17,492 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7578 +[2025-02-27 07:12:17,522 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8986 +[2025-02-27 07:12:17,568 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1264 +[2025-02-27 07:12:17,605 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1762 +[2025-02-27 07:12:17,637 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7148 +[2025-02-27 07:12:17,668 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.0965 +[2025-02-27 07:12:17,698 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0511 +[2025-02-27 07:12:17,726 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3197 +[2025-02-27 07:12:17,758 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2142 +[2025-02-27 07:12:17,783 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4234 +[2025-02-27 07:12:17,816 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5370 +[2025-02-27 07:12:17,850 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0664 +[2025-02-27 07:12:17,888 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2907 +[2025-02-27 07:12:17,919 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8576 +[2025-02-27 07:12:17,945 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9662 +[2025-02-27 07:12:17,982 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0314 +[2025-02-27 07:12:18,013 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0869 +[2025-02-27 07:12:18,036 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9417 +[2025-02-27 07:12:18,067 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9679 +[2025-02-27 07:12:18,102 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4531 +[2025-02-27 07:12:18,156 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7057 +[2025-02-27 07:12:18,182 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0856 +[2025-02-27 07:12:18,220 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7259 +[2025-02-27 07:12:18,256 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5691 +[2025-02-27 07:12:18,287 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9922 +[2025-02-27 07:12:18,316 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4039 +[2025-02-27 07:12:18,368 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3913 +[2025-02-27 07:12:18,409 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3617 +[2025-02-27 07:12:18,457 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4775 +[2025-02-27 07:12:18,502 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5602 +[2025-02-27 07:12:18,540 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.4073 +[2025-02-27 07:12:18,587 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7839 +[2025-02-27 07:12:18,615 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9882 +[2025-02-27 07:12:18,666 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6547 +[2025-02-27 07:12:18,690 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6209 +[2025-02-27 07:12:20,148 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:12:20,149 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:12:20,150 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] wall : 0.7899 0.9172 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] floor : 0.9528 0.9805 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] cabinet : 0.5072 0.6568 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] bed : 0.6887 0.7936 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] chair : 0.8521 0.9316 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] sofa : 0.7494 0.8661 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] table : 0.6445 0.7679 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] door : 0.4952 0.6344 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] window : 0.4555 0.5685 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] bookshelf : 0.6790 0.8295 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] picture : 0.1549 0.2062 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] counter : 0.4915 0.6406 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] desk : 0.5171 0.7217 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] curtain : 0.6074 0.7356 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] refridgerator : 0.3735 0.4263 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] shower curtain : 0.5226 0.5945 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] toilet : 0.8433 0.9315 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] sink : 0.5232 0.6242 +[2025-02-27 07:12:20,150 INFO hook.py line 232 1688082] bathtub : 0.7462 0.8911 +[2025-02-27 07:12:20,151 INFO hook.py line 232 1688082] otherfurniture : 0.4407 0.5397 +[2025-02-27 07:12:20,151 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:12:20,151 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6017/0.7129/0.8552. +[2025-02-27 07:12:20,151 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:12:20,158 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.6017 +[2025-02-27 07:12:20,158 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6017 +[2025-02-27 07:12:20,159 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:12:47,797 INFO hook.py line 109 1688082] Train: [96/100][50/300] Data 0.015 (0.007) Batch 0.316 (0.378) Remain 00:09:08 loss: 0.3272 Lr: 3.94698e-05 +[2025-02-27 07:13:06,360 INFO hook.py line 109 1688082] Train: [96/100][100/300] Data 0.004 (0.007) Batch 0.315 (0.375) Remain 00:08:44 loss: 0.0373 Lr: 3.68619e-05 +[2025-02-27 07:13:25,719 INFO hook.py line 109 1688082] Train: [96/100][150/300] Data 0.013 (0.007) Batch 0.408 (0.379) Remain 00:08:31 loss: 0.1191 Lr: 3.43440e-05 +[2025-02-27 07:13:44,250 INFO hook.py line 109 1688082] Train: [96/100][200/300] Data 0.004 (0.008) Batch 0.449 (0.377) Remain 00:08:09 loss: 0.3278 Lr: 3.19162e-05 +[2025-02-27 07:13:57,213 INFO hook.py line 109 1688082] Train: [96/100][250/300] Data 0.006 (0.007) Batch 0.287 (0.353) Remain 00:07:21 loss: 0.1755 Lr: 2.95785e-05 +[2025-02-27 07:14:12,086 INFO hook.py line 109 1688082] Train: [96/100][300/300] Data 0.002 (0.007) Batch 0.308 (0.344) Remain 00:06:52 loss: 0.1907 Lr: 2.73311e-05 +[2025-02-27 07:14:12,090 INFO misc.py line 135 1688082] Train result: loss: 0.1609 +[2025-02-27 07:14:12,196 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:14:32,878 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4298 +[2025-02-27 07:14:33,000 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8827 +[2025-02-27 07:14:33,098 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6836 +[2025-02-27 07:14:33,157 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8441 +[2025-02-27 07:14:33,206 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6528 +[2025-02-27 07:14:33,275 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0025 +[2025-02-27 07:14:33,347 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8317 +[2025-02-27 07:14:33,401 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4309 +[2025-02-27 07:14:33,476 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2017 +[2025-02-27 07:14:41,973 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4110 +[2025-02-27 07:14:42,109 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7639 +[2025-02-27 07:14:42,443 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2929 +[2025-02-27 07:14:42,801 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5105 +[2025-02-27 07:14:42,846 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5965 +[2025-02-27 07:14:43,141 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8442 +[2025-02-27 07:14:43,190 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1171 +[2025-02-27 07:14:43,230 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8424 +[2025-02-27 07:14:43,270 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9792 +[2025-02-27 07:14:43,312 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3352 +[2025-02-27 07:14:43,348 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4611 +[2025-02-27 07:14:43,388 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3578 +[2025-02-27 07:14:43,425 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8086 +[2025-02-27 07:14:43,451 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0496 +[2025-02-27 07:14:43,496 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3380 +[2025-02-27 07:14:43,542 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1824 +[2025-02-27 07:14:43,582 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9346 +[2025-02-27 07:14:43,629 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5636 +[2025-02-27 07:14:43,662 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7597 +[2025-02-27 07:14:43,694 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3654 +[2025-02-27 07:14:43,746 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6693 +[2025-02-27 07:14:43,799 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6318 +[2025-02-27 07:14:43,833 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9305 +[2025-02-27 07:14:43,884 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2041 +[2025-02-27 07:14:43,929 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3703 +[2025-02-27 07:14:43,967 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4910 +[2025-02-27 07:14:44,005 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6030 +[2025-02-27 07:14:44,040 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5785 +[2025-02-27 07:14:44,069 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3357 +[2025-02-27 07:14:44,126 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5713 +[2025-02-27 07:14:44,170 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2791 +[2025-02-27 07:14:44,211 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2342 +[2025-02-27 07:14:44,248 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2530 +[2025-02-27 07:14:44,285 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5683 +[2025-02-27 07:14:44,348 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7355 +[2025-02-27 07:14:44,381 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.9049 +[2025-02-27 07:14:44,429 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1384 +[2025-02-27 07:14:44,464 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1611 +[2025-02-27 07:14:44,496 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7231 +[2025-02-27 07:14:44,528 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1970 +[2025-02-27 07:14:44,558 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0928 +[2025-02-27 07:14:44,587 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.3243 +[2025-02-27 07:14:44,620 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2248 +[2025-02-27 07:14:44,647 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4337 +[2025-02-27 07:14:44,680 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4988 +[2025-02-27 07:14:44,715 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0672 +[2025-02-27 07:14:44,753 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2800 +[2025-02-27 07:14:44,784 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8448 +[2025-02-27 07:14:44,810 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9207 +[2025-02-27 07:14:44,848 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0309 +[2025-02-27 07:14:44,883 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0836 +[2025-02-27 07:14:44,907 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9478 +[2025-02-27 07:14:44,940 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9415 +[2025-02-27 07:14:44,974 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4334 +[2025-02-27 07:14:45,032 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6664 +[2025-02-27 07:14:45,059 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0479 +[2025-02-27 07:14:45,097 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7481 +[2025-02-27 07:14:45,134 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5558 +[2025-02-27 07:14:45,166 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0402 +[2025-02-27 07:14:45,194 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4033 +[2025-02-27 07:14:45,245 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4117 +[2025-02-27 07:14:45,285 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3671 +[2025-02-27 07:14:45,333 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4649 +[2025-02-27 07:14:45,380 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5597 +[2025-02-27 07:14:45,420 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3964 +[2025-02-27 07:14:45,470 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7743 +[2025-02-27 07:14:45,506 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0126 +[2025-02-27 07:14:45,558 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6297 +[2025-02-27 07:14:45,583 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6266 +[2025-02-27 07:14:46,958 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:14:46,959 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:14:46,959 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:14:46,959 INFO hook.py line 232 1688082] wall : 0.7911 0.9210 +[2025-02-27 07:14:46,959 INFO hook.py line 232 1688082] floor : 0.9528 0.9809 +[2025-02-27 07:14:46,959 INFO hook.py line 232 1688082] cabinet : 0.5076 0.6506 +[2025-02-27 07:14:46,959 INFO hook.py line 232 1688082] bed : 0.6879 0.7998 +[2025-02-27 07:14:46,959 INFO hook.py line 232 1688082] chair : 0.8499 0.9320 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] sofa : 0.7499 0.8662 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] table : 0.6425 0.7726 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] door : 0.4964 0.6212 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] window : 0.4555 0.5686 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] bookshelf : 0.6866 0.8279 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] picture : 0.1551 0.2018 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] counter : 0.4928 0.6389 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] desk : 0.5168 0.7049 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] curtain : 0.6066 0.7401 +[2025-02-27 07:14:46,960 INFO hook.py line 232 1688082] refridgerator : 0.3790 0.4317 +[2025-02-27 07:14:46,961 INFO hook.py line 232 1688082] shower curtain : 0.5217 0.5979 +[2025-02-27 07:14:46,961 INFO hook.py line 232 1688082] toilet : 0.8424 0.9285 +[2025-02-27 07:14:46,961 INFO hook.py line 232 1688082] sink : 0.5239 0.6363 +[2025-02-27 07:14:46,961 INFO hook.py line 232 1688082] bathtub : 0.7484 0.8879 +[2025-02-27 07:14:46,961 INFO hook.py line 232 1688082] otherfurniture : 0.4445 0.5449 +[2025-02-27 07:14:46,961 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:14:46,961 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6026/0.7127/0.8560. +[2025-02-27 07:14:46,962 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:14:46,986 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.6026 +[2025-02-27 07:14:46,987 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6026 +[2025-02-27 07:14:46,987 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:15:13,781 INFO hook.py line 109 1688082] Train: [97/100][50/300] Data 0.005 (0.009) Batch 0.288 (0.364) Remain 00:06:58 loss: 0.0410 Lr: 2.51740e-05 +[2025-02-27 07:15:33,259 INFO hook.py line 109 1688082] Train: [97/100][100/300] Data 0.005 (0.008) Batch 0.314 (0.377) Remain 00:06:54 loss: 0.3392 Lr: 2.31073e-05 +[2025-02-27 07:15:51,293 INFO hook.py line 109 1688082] Train: [97/100][150/300] Data 0.010 (0.008) Batch 0.384 (0.372) Remain 00:06:30 loss: 0.2129 Lr: 2.11310e-05 +[2025-02-27 07:16:09,379 INFO hook.py line 109 1688082] Train: [97/100][200/300] Data 0.004 (0.007) Batch 0.336 (0.369) Remain 00:06:09 loss: 0.1852 Lr: 1.92453e-05 +[2025-02-27 07:16:27,585 INFO hook.py line 109 1688082] Train: [97/100][250/300] Data 0.004 (0.007) Batch 0.494 (0.368) Remain 00:05:49 loss: 0.2155 Lr: 1.74500e-05 +[2025-02-27 07:16:41,115 INFO hook.py line 109 1688082] Train: [97/100][300/300] Data 0.002 (0.007) Batch 0.182 (0.352) Remain 00:05:16 loss: 0.1046 Lr: 1.57454e-05 +[2025-02-27 07:16:41,116 INFO misc.py line 135 1688082] Train result: loss: 0.1660 +[2025-02-27 07:16:41,215 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:17:00,705 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4017 +[2025-02-27 07:17:00,769 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8602 +[2025-02-27 07:17:00,815 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6178 +[2025-02-27 07:17:00,868 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8103 +[2025-02-27 07:17:01,440 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6377 +[2025-02-27 07:17:01,488 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0326 +[2025-02-27 07:17:01,557 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8293 +[2025-02-27 07:17:01,600 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4367 +[2025-02-27 07:17:01,646 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2051 +[2025-02-27 07:17:01,700 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3535 +[2025-02-27 07:17:01,756 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7574 +[2025-02-27 07:17:01,800 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3021 +[2025-02-27 07:17:01,854 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4699 +[2025-02-27 07:17:01,903 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5816 +[2025-02-27 07:17:01,947 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8781 +[2025-02-27 07:17:02,000 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1148 +[2025-02-27 07:17:02,046 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8102 +[2025-02-27 07:17:02,079 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9957 +[2025-02-27 07:17:02,125 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3400 +[2025-02-27 07:17:02,165 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4433 +[2025-02-27 07:17:02,199 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3718 +[2025-02-27 07:17:02,236 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7968 +[2025-02-27 07:17:02,264 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0638 +[2025-02-27 07:17:02,311 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3449 +[2025-02-27 07:17:02,350 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1612 +[2025-02-27 07:17:02,396 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9534 +[2025-02-27 07:17:02,445 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5544 +[2025-02-27 07:17:02,482 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7525 +[2025-02-27 07:17:02,519 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3723 +[2025-02-27 07:17:02,571 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6667 +[2025-02-27 07:17:02,629 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6234 +[2025-02-27 07:17:02,662 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9377 +[2025-02-27 07:17:02,712 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1959 +[2025-02-27 07:17:02,748 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3562 +[2025-02-27 07:17:02,785 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.5170 +[2025-02-27 07:17:02,834 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6228 +[2025-02-27 07:17:02,870 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5531 +[2025-02-27 07:17:02,900 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3325 +[2025-02-27 07:17:02,963 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5378 +[2025-02-27 07:17:03,028 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2720 +[2025-02-27 07:17:03,072 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2489 +[2025-02-27 07:17:03,106 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2555 +[2025-02-27 07:17:03,146 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5778 +[2025-02-27 07:17:03,209 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7225 +[2025-02-27 07:17:03,239 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8927 +[2025-02-27 07:17:03,280 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1315 +[2025-02-27 07:17:03,316 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1808 +[2025-02-27 07:17:03,348 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7436 +[2025-02-27 07:17:03,379 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1817 +[2025-02-27 07:17:03,408 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0810 +[2025-02-27 07:17:03,436 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2602 +[2025-02-27 07:17:03,468 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2532 +[2025-02-27 07:17:03,494 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4358 +[2025-02-27 07:17:03,526 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5300 +[2025-02-27 07:17:03,562 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0666 +[2025-02-27 07:17:03,601 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2805 +[2025-02-27 07:17:03,633 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8536 +[2025-02-27 07:17:03,666 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9705 +[2025-02-27 07:17:03,709 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0339 +[2025-02-27 07:17:03,748 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0609 +[2025-02-27 07:17:03,772 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9478 +[2025-02-27 07:17:03,805 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9487 +[2025-02-27 07:17:03,839 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4259 +[2025-02-27 07:17:03,892 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6952 +[2025-02-27 07:17:03,919 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0370 +[2025-02-27 07:17:03,957 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7539 +[2025-02-27 07:17:03,994 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5558 +[2025-02-27 07:17:04,025 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0105 +[2025-02-27 07:17:04,054 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4076 +[2025-02-27 07:17:04,105 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4278 +[2025-02-27 07:17:04,147 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3530 +[2025-02-27 07:17:04,195 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4882 +[2025-02-27 07:17:04,242 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5517 +[2025-02-27 07:17:04,280 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3906 +[2025-02-27 07:17:04,326 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7934 +[2025-02-27 07:17:04,354 INFO hook.py line 289 1688082] Test: [76/78] Loss 1.0033 +[2025-02-27 07:17:04,405 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6525 +[2025-02-27 07:17:04,430 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6302 +[2025-02-27 07:17:06,003 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:17:06,003 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:17:06,004 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] wall : 0.7906 0.9172 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] floor : 0.9532 0.9808 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] cabinet : 0.5065 0.6550 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] bed : 0.6900 0.8006 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] chair : 0.8518 0.9319 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] sofa : 0.7500 0.8664 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] table : 0.6439 0.7752 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] door : 0.4974 0.6320 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] window : 0.4586 0.5808 +[2025-02-27 07:17:06,004 INFO hook.py line 232 1688082] bookshelf : 0.6835 0.8238 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] picture : 0.1578 0.2085 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] counter : 0.4911 0.6369 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] desk : 0.5173 0.7068 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] curtain : 0.6045 0.7267 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] refridgerator : 0.3807 0.4334 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] shower curtain : 0.5240 0.6002 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] toilet : 0.8421 0.9291 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] sink : 0.5231 0.6292 +[2025-02-27 07:17:06,008 INFO hook.py line 232 1688082] bathtub : 0.7544 0.8877 +[2025-02-27 07:17:06,009 INFO hook.py line 232 1688082] otherfurniture : 0.4457 0.5470 +[2025-02-27 07:17:06,009 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:17:06,009 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6033/0.7135/0.8559. +[2025-02-27 07:17:06,009 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:17:06,043 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.6033 +[2025-02-27 07:17:06,044 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6033 +[2025-02-27 07:17:06,044 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:17:29,771 INFO hook.py line 109 1688082] Train: [98/100][50/300] Data 0.003 (0.004) Batch 0.233 (0.280) Remain 00:03:58 loss: 0.2163 Lr: 1.41315e-05 +[2025-02-27 07:17:44,969 INFO hook.py line 109 1688082] Train: [98/100][100/300] Data 0.010 (0.005) Batch 0.432 (0.292) Remain 00:03:53 loss: 0.0072 Lr: 1.26083e-05 +[2025-02-27 07:18:05,114 INFO hook.py line 109 1688082] Train: [98/100][150/300] Data 0.009 (0.006) Batch 0.348 (0.330) Remain 00:04:07 loss: 0.0539 Lr: 1.11758e-05 +[2025-02-27 07:18:21,520 INFO hook.py line 109 1688082] Train: [98/100][200/300] Data 0.006 (0.006) Batch 0.416 (0.329) Remain 00:03:50 loss: 0.1828 Lr: 9.83411e-06 +[2025-02-27 07:18:44,219 INFO hook.py line 109 1688082] Train: [98/100][250/300] Data 0.009 (0.006) Batch 0.342 (0.355) Remain 00:03:50 loss: 0.1231 Lr: 8.58328e-06 +[2025-02-27 07:18:57,688 INFO hook.py line 109 1688082] Train: [98/100][300/300] Data 0.001 (0.006) Batch 0.186 (0.340) Remain 00:03:24 loss: 0.1482 Lr: 7.42332e-06 +[2025-02-27 07:18:57,689 INFO misc.py line 135 1688082] Train result: loss: 0.1703 +[2025-02-27 07:18:57,778 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:19:17,659 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4169 +[2025-02-27 07:19:17,714 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9013 +[2025-02-27 07:19:17,758 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6230 +[2025-02-27 07:19:17,805 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8119 +[2025-02-27 07:19:17,836 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6454 +[2025-02-27 07:19:17,893 INFO hook.py line 289 1688082] Test: [6/78] Loss 1.9925 +[2025-02-27 07:19:17,940 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8312 +[2025-02-27 07:19:17,971 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4324 +[2025-02-27 07:19:18,017 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.1904 +[2025-02-27 07:19:18,054 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.4319 +[2025-02-27 07:19:18,100 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7564 +[2025-02-27 07:19:18,135 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.3070 +[2025-02-27 07:19:18,181 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4965 +[2025-02-27 07:19:18,217 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5984 +[2025-02-27 07:19:18,254 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8916 +[2025-02-27 07:19:18,302 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1140 +[2025-02-27 07:19:18,340 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.7734 +[2025-02-27 07:19:18,374 INFO hook.py line 289 1688082] Test: [18/78] Loss 0.9872 +[2025-02-27 07:19:18,416 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3417 +[2025-02-27 07:19:18,457 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4568 +[2025-02-27 07:19:18,491 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3677 +[2025-02-27 07:19:18,535 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.7907 +[2025-02-27 07:19:18,564 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0447 +[2025-02-27 07:19:18,606 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3705 +[2025-02-27 07:19:18,653 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2314 +[2025-02-27 07:19:18,694 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9684 +[2025-02-27 07:19:18,741 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5328 +[2025-02-27 07:19:18,773 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7583 +[2025-02-27 07:19:18,808 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3817 +[2025-02-27 07:19:18,859 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6670 +[2025-02-27 07:19:18,915 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6261 +[2025-02-27 07:19:18,950 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9207 +[2025-02-27 07:19:19,002 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.1946 +[2025-02-27 07:19:19,039 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3396 +[2025-02-27 07:19:19,074 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4818 +[2025-02-27 07:19:19,110 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6033 +[2025-02-27 07:19:19,145 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5574 +[2025-02-27 07:19:19,185 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3332 +[2025-02-27 07:19:19,240 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5617 +[2025-02-27 07:19:19,284 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2880 +[2025-02-27 07:19:19,329 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2467 +[2025-02-27 07:19:19,368 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2481 +[2025-02-27 07:19:19,411 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5809 +[2025-02-27 07:19:19,463 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7334 +[2025-02-27 07:19:19,493 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8846 +[2025-02-27 07:19:19,538 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1137 +[2025-02-27 07:19:19,576 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1610 +[2025-02-27 07:19:19,608 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7294 +[2025-02-27 07:19:19,640 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1297 +[2025-02-27 07:19:19,673 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0607 +[2025-02-27 07:19:19,701 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2615 +[2025-02-27 07:19:19,735 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2494 +[2025-02-27 07:19:19,761 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4165 +[2025-02-27 07:19:19,795 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4730 +[2025-02-27 07:19:19,830 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0637 +[2025-02-27 07:19:19,869 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2731 +[2025-02-27 07:19:19,901 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8534 +[2025-02-27 07:19:19,927 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9575 +[2025-02-27 07:19:19,964 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0263 +[2025-02-27 07:19:19,995 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0591 +[2025-02-27 07:19:20,018 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9565 +[2025-02-27 07:19:20,050 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9473 +[2025-02-27 07:19:20,086 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4315 +[2025-02-27 07:19:20,140 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6946 +[2025-02-27 07:19:20,167 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0485 +[2025-02-27 07:19:20,205 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7580 +[2025-02-27 07:19:20,243 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5701 +[2025-02-27 07:19:20,275 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9934 +[2025-02-27 07:19:20,306 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4049 +[2025-02-27 07:19:20,357 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4108 +[2025-02-27 07:19:20,398 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3841 +[2025-02-27 07:19:20,445 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4765 +[2025-02-27 07:19:20,491 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5735 +[2025-02-27 07:19:20,529 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3617 +[2025-02-27 07:19:20,575 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7661 +[2025-02-27 07:19:20,603 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9909 +[2025-02-27 07:19:20,655 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6384 +[2025-02-27 07:19:20,680 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6294 +[2025-02-27 07:19:22,287 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:19:22,287 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:19:22,287 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] wall : 0.7910 0.9185 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] floor : 0.9530 0.9810 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] cabinet : 0.5071 0.6503 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] bed : 0.6893 0.7979 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] chair : 0.8504 0.9333 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] sofa : 0.7503 0.8648 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] table : 0.6439 0.7748 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] door : 0.5016 0.6382 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] window : 0.4579 0.5756 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] bookshelf : 0.6831 0.8204 +[2025-02-27 07:19:22,287 INFO hook.py line 232 1688082] picture : 0.1569 0.2054 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] counter : 0.4915 0.6336 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] desk : 0.5174 0.7091 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] curtain : 0.6051 0.7313 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] refridgerator : 0.3823 0.4363 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] shower curtain : 0.5183 0.5908 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] toilet : 0.8446 0.9299 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] sink : 0.5212 0.6308 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] bathtub : 0.7567 0.8866 +[2025-02-27 07:19:22,288 INFO hook.py line 232 1688082] otherfurniture : 0.4446 0.5452 +[2025-02-27 07:19:22,288 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:19:22,288 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6033/0.7127/0.8561. +[2025-02-27 07:19:22,289 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:19:22,304 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6033 +[2025-02-27 07:19:22,304 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:19:49,351 INFO hook.py line 109 1688082] Train: [99/100][50/300] Data 0.003 (0.007) Batch 0.368 (0.366) Remain 00:03:21 loss: 0.2505 Lr: 6.35429e-06 +[2025-02-27 07:20:07,647 INFO hook.py line 109 1688082] Train: [99/100][100/300] Data 0.003 (0.007) Batch 0.383 (0.366) Remain 00:03:02 loss: 0.2586 Lr: 5.37620e-06 +[2025-02-27 07:20:25,832 INFO hook.py line 109 1688082] Train: [99/100][150/300] Data 0.004 (0.007) Batch 0.351 (0.365) Remain 00:02:44 loss: 0.0047 Lr: 4.48909e-06 +[2025-02-27 07:20:44,095 INFO hook.py line 109 1688082] Train: [99/100][200/300] Data 0.004 (0.007) Batch 0.354 (0.365) Remain 00:02:26 loss: 0.1854 Lr: 3.69298e-06 +[2025-02-27 07:21:02,477 INFO hook.py line 109 1688082] Train: [99/100][250/300] Data 0.004 (0.007) Batch 0.472 (0.366) Remain 00:02:07 loss: 0.2472 Lr: 2.98791e-06 +[2025-02-27 07:21:16,007 INFO hook.py line 109 1688082] Train: [99/100][300/300] Data 0.001 (0.006) Batch 0.206 (0.350) Remain 00:01:44 loss: 0.5908 Lr: 2.37388e-06 +[2025-02-27 07:21:16,008 INFO misc.py line 135 1688082] Train result: loss: 0.1667 +[2025-02-27 07:21:16,105 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:21:30,465 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4023 +[2025-02-27 07:21:30,510 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.9217 +[2025-02-27 07:21:30,553 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6681 +[2025-02-27 07:21:31,051 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8120 +[2025-02-27 07:21:31,092 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6661 +[2025-02-27 07:21:31,147 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0035 +[2025-02-27 07:21:31,196 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8346 +[2025-02-27 07:21:31,228 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4314 +[2025-02-27 07:21:31,277 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2205 +[2025-02-27 07:21:31,317 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3925 +[2025-02-27 07:21:31,366 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7608 +[2025-02-27 07:21:31,395 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2926 +[2025-02-27 07:21:31,440 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.4918 +[2025-02-27 07:21:31,478 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.5998 +[2025-02-27 07:21:31,512 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8711 +[2025-02-27 07:21:31,570 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1123 +[2025-02-27 07:21:31,608 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8065 +[2025-02-27 07:21:31,641 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0185 +[2025-02-27 07:21:31,682 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3429 +[2025-02-27 07:21:31,711 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4583 +[2025-02-27 07:21:31,745 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3780 +[2025-02-27 07:21:31,792 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8086 +[2025-02-27 07:21:31,825 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0398 +[2025-02-27 07:21:31,863 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3704 +[2025-02-27 07:21:31,906 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.2069 +[2025-02-27 07:21:31,950 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9573 +[2025-02-27 07:21:31,998 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5127 +[2025-02-27 07:21:32,027 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7634 +[2025-02-27 07:21:32,054 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3681 +[2025-02-27 07:21:32,111 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6656 +[2025-02-27 07:21:32,164 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6166 +[2025-02-27 07:21:32,197 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9593 +[2025-02-27 07:21:32,250 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2095 +[2025-02-27 07:21:32,286 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3456 +[2025-02-27 07:21:32,325 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4899 +[2025-02-27 07:21:32,364 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6053 +[2025-02-27 07:21:32,397 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5691 +[2025-02-27 07:21:32,436 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3282 +[2025-02-27 07:21:32,490 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5380 +[2025-02-27 07:21:32,535 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2878 +[2025-02-27 07:21:32,573 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2335 +[2025-02-27 07:21:32,610 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2608 +[2025-02-27 07:21:32,650 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5786 +[2025-02-27 07:21:32,700 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7380 +[2025-02-27 07:21:32,731 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8965 +[2025-02-27 07:21:32,773 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1084 +[2025-02-27 07:21:32,807 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1803 +[2025-02-27 07:21:32,836 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7301 +[2025-02-27 07:21:32,864 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1520 +[2025-02-27 07:21:32,893 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0746 +[2025-02-27 07:21:32,918 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2429 +[2025-02-27 07:21:32,948 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2493 +[2025-02-27 07:21:32,970 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4333 +[2025-02-27 07:21:33,001 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.4867 +[2025-02-27 07:21:33,034 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0683 +[2025-02-27 07:21:33,070 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2837 +[2025-02-27 07:21:33,099 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8539 +[2025-02-27 07:21:33,123 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9692 +[2025-02-27 07:21:33,158 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0477 +[2025-02-27 07:21:33,186 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0614 +[2025-02-27 07:21:33,208 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9636 +[2025-02-27 07:21:33,236 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9537 +[2025-02-27 07:21:33,268 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4310 +[2025-02-27 07:21:33,320 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.6862 +[2025-02-27 07:21:33,343 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0472 +[2025-02-27 07:21:33,379 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7535 +[2025-02-27 07:21:33,414 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5570 +[2025-02-27 07:21:33,443 INFO hook.py line 289 1688082] Test: [68/78] Loss 1.0001 +[2025-02-27 07:21:33,470 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4094 +[2025-02-27 07:21:33,519 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.4192 +[2025-02-27 07:21:33,558 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3843 +[2025-02-27 07:21:33,604 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4738 +[2025-02-27 07:21:33,647 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5399 +[2025-02-27 07:21:33,683 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3845 +[2025-02-27 07:21:33,727 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7715 +[2025-02-27 07:21:33,753 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9863 +[2025-02-27 07:21:33,802 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6392 +[2025-02-27 07:21:33,825 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6323 +[2025-02-27 07:21:35,000 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:21:35,001 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:21:35,001 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] wall : 0.7911 0.9182 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] floor : 0.9530 0.9809 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] cabinet : 0.5081 0.6488 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] bed : 0.6884 0.7966 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] chair : 0.8507 0.9336 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] sofa : 0.7515 0.8653 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] table : 0.6439 0.7752 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] door : 0.5015 0.6361 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] window : 0.4588 0.5785 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] bookshelf : 0.6834 0.8245 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] picture : 0.1584 0.2087 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] counter : 0.4947 0.6393 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] desk : 0.5152 0.7069 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] curtain : 0.6041 0.7304 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] refridgerator : 0.3829 0.4380 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] shower curtain : 0.5213 0.5963 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] toilet : 0.8450 0.9302 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] sink : 0.5227 0.6298 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] bathtub : 0.7543 0.8859 +[2025-02-27 07:21:35,001 INFO hook.py line 232 1688082] otherfurniture : 0.4444 0.5464 +[2025-02-27 07:21:35,001 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:21:35,001 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6037/0.7135/0.8561. +[2025-02-27 07:21:35,001 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:21:35,015 INFO misc.py line 159 1688082] Best validation mIoU updated to: 0.6037 +[2025-02-27 07:21:35,015 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6037 +[2025-02-27 07:21:35,015 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:22:01,247 INFO hook.py line 109 1688082] Train: [100/100][50/300] Data 0.006 (0.014) Batch 0.383 (0.422) Remain 00:01:45 loss: 0.1126 Lr: 1.85092e-06 +[2025-02-27 07:22:18,528 INFO hook.py line 109 1688082] Train: [100/100][100/300] Data 0.003 (0.010) Batch 0.271 (0.383) Remain 00:01:16 loss: 0.2421 Lr: 1.41905e-06 +[2025-02-27 07:22:41,415 INFO hook.py line 109 1688082] Train: [100/100][150/300] Data 0.014 (0.009) Batch 0.447 (0.408) Remain 00:01:01 loss: 0.2936 Lr: 1.07827e-06 +[2025-02-27 07:23:00,166 INFO hook.py line 109 1688082] Train: [100/100][200/300] Data 0.014 (0.009) Batch 0.435 (0.400) Remain 00:00:39 loss: 0.2221 Lr: 8.28606e-07 +[2025-02-27 07:23:18,468 INFO hook.py line 109 1688082] Train: [100/100][250/300] Data 0.005 (0.009) Batch 0.353 (0.393) Remain 00:00:19 loss: 0.2265 Lr: 6.70055e-07 +[2025-02-27 07:23:31,539 INFO hook.py line 109 1688082] Train: [100/100][300/300] Data 0.001 (0.008) Batch 0.189 (0.371) Remain 00:00:00 loss: 0.1950 Lr: 6.02624e-07 +[2025-02-27 07:23:31,540 INFO misc.py line 135 1688082] Train result: loss: 0.1548 +[2025-02-27 07:23:31,633 INFO hook.py line 242 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:23:52,047 INFO hook.py line 289 1688082] Test: [1/78] Loss 0.4208 +[2025-02-27 07:23:52,094 INFO hook.py line 289 1688082] Test: [2/78] Loss 0.8966 +[2025-02-27 07:23:52,139 INFO hook.py line 289 1688082] Test: [3/78] Loss 0.6065 +[2025-02-27 07:23:52,191 INFO hook.py line 289 1688082] Test: [4/78] Loss 0.8286 +[2025-02-27 07:23:52,236 INFO hook.py line 289 1688082] Test: [5/78] Loss 0.6330 +[2025-02-27 07:23:52,294 INFO hook.py line 289 1688082] Test: [6/78] Loss 2.0141 +[2025-02-27 07:23:52,343 INFO hook.py line 289 1688082] Test: [7/78] Loss 0.8401 +[2025-02-27 07:23:52,382 INFO hook.py line 289 1688082] Test: [8/78] Loss 0.4248 +[2025-02-27 07:23:52,426 INFO hook.py line 289 1688082] Test: [9/78] Loss 1.2043 +[2025-02-27 07:23:52,461 INFO hook.py line 289 1688082] Test: [10/78] Loss 1.3754 +[2025-02-27 07:23:52,511 INFO hook.py line 289 1688082] Test: [11/78] Loss 0.7467 +[2025-02-27 07:23:52,557 INFO hook.py line 289 1688082] Test: [12/78] Loss 1.2824 +[2025-02-27 07:23:52,604 INFO hook.py line 289 1688082] Test: [13/78] Loss 2.5528 +[2025-02-27 07:23:52,647 INFO hook.py line 289 1688082] Test: [14/78] Loss 2.6174 +[2025-02-27 07:23:52,683 INFO hook.py line 289 1688082] Test: [15/78] Loss 1.8533 +[2025-02-27 07:23:52,730 INFO hook.py line 289 1688082] Test: [16/78] Loss 0.1117 +[2025-02-27 07:23:52,768 INFO hook.py line 289 1688082] Test: [17/78] Loss 0.8061 +[2025-02-27 07:23:52,805 INFO hook.py line 289 1688082] Test: [18/78] Loss 1.0089 +[2025-02-27 07:23:52,848 INFO hook.py line 289 1688082] Test: [19/78] Loss 1.3540 +[2025-02-27 07:23:52,882 INFO hook.py line 289 1688082] Test: [20/78] Loss 1.4545 +[2025-02-27 07:23:52,915 INFO hook.py line 289 1688082] Test: [21/78] Loss 0.3698 +[2025-02-27 07:23:52,954 INFO hook.py line 289 1688082] Test: [22/78] Loss 1.8092 +[2025-02-27 07:23:52,983 INFO hook.py line 289 1688082] Test: [23/78] Loss 1.0115 +[2025-02-27 07:23:53,030 INFO hook.py line 289 1688082] Test: [24/78] Loss 1.3636 +[2025-02-27 07:23:53,079 INFO hook.py line 289 1688082] Test: [25/78] Loss 1.1915 +[2025-02-27 07:23:53,126 INFO hook.py line 289 1688082] Test: [26/78] Loss 0.9647 +[2025-02-27 07:23:53,175 INFO hook.py line 289 1688082] Test: [27/78] Loss 1.5072 +[2025-02-27 07:23:53,209 INFO hook.py line 289 1688082] Test: [28/78] Loss 0.7653 +[2025-02-27 07:23:53,242 INFO hook.py line 289 1688082] Test: [29/78] Loss 0.3771 +[2025-02-27 07:23:53,297 INFO hook.py line 289 1688082] Test: [30/78] Loss 0.6672 +[2025-02-27 07:23:53,356 INFO hook.py line 289 1688082] Test: [31/78] Loss 0.6276 +[2025-02-27 07:23:53,390 INFO hook.py line 289 1688082] Test: [32/78] Loss 0.9411 +[2025-02-27 07:23:53,442 INFO hook.py line 289 1688082] Test: [33/78] Loss 0.2056 +[2025-02-27 07:23:53,486 INFO hook.py line 289 1688082] Test: [34/78] Loss 1.3459 +[2025-02-27 07:23:53,523 INFO hook.py line 289 1688082] Test: [35/78] Loss 0.4950 +[2025-02-27 07:23:53,568 INFO hook.py line 289 1688082] Test: [36/78] Loss 1.6223 +[2025-02-27 07:23:53,604 INFO hook.py line 289 1688082] Test: [37/78] Loss 0.5838 +[2025-02-27 07:23:53,637 INFO hook.py line 289 1688082] Test: [38/78] Loss 0.3265 +[2025-02-27 07:23:53,700 INFO hook.py line 289 1688082] Test: [39/78] Loss 1.5295 +[2025-02-27 07:23:53,745 INFO hook.py line 289 1688082] Test: [40/78] Loss 2.2809 +[2025-02-27 07:23:53,785 INFO hook.py line 289 1688082] Test: [41/78] Loss 1.2529 +[2025-02-27 07:23:53,825 INFO hook.py line 289 1688082] Test: [42/78] Loss 0.2499 +[2025-02-27 07:23:53,872 INFO hook.py line 289 1688082] Test: [43/78] Loss 0.5648 +[2025-02-27 07:23:53,926 INFO hook.py line 289 1688082] Test: [44/78] Loss 0.7266 +[2025-02-27 07:23:53,957 INFO hook.py line 289 1688082] Test: [45/78] Loss 0.8725 +[2025-02-27 07:23:54,003 INFO hook.py line 289 1688082] Test: [46/78] Loss 1.1184 +[2025-02-27 07:23:54,051 INFO hook.py line 289 1688082] Test: [47/78] Loss 2.1407 +[2025-02-27 07:23:54,092 INFO hook.py line 289 1688082] Test: [48/78] Loss 0.7208 +[2025-02-27 07:23:54,123 INFO hook.py line 289 1688082] Test: [49/78] Loss 2.1909 +[2025-02-27 07:23:54,154 INFO hook.py line 289 1688082] Test: [50/78] Loss 1.0629 +[2025-02-27 07:23:54,182 INFO hook.py line 289 1688082] Test: [51/78] Loss 1.2306 +[2025-02-27 07:23:54,215 INFO hook.py line 289 1688082] Test: [52/78] Loss 1.2432 +[2025-02-27 07:23:54,239 INFO hook.py line 289 1688082] Test: [53/78] Loss 0.4263 +[2025-02-27 07:23:54,273 INFO hook.py line 289 1688082] Test: [54/78] Loss 2.5106 +[2025-02-27 07:23:54,308 INFO hook.py line 289 1688082] Test: [55/78] Loss 0.0667 +[2025-02-27 07:23:54,347 INFO hook.py line 289 1688082] Test: [56/78] Loss 0.2806 +[2025-02-27 07:23:54,378 INFO hook.py line 289 1688082] Test: [57/78] Loss 0.8667 +[2025-02-27 07:23:54,404 INFO hook.py line 289 1688082] Test: [58/78] Loss 0.9572 +[2025-02-27 07:23:54,442 INFO hook.py line 289 1688082] Test: [59/78] Loss 1.0230 +[2025-02-27 07:23:54,473 INFO hook.py line 289 1688082] Test: [60/78] Loss 1.0635 +[2025-02-27 07:23:54,498 INFO hook.py line 289 1688082] Test: [61/78] Loss 0.9609 +[2025-02-27 07:23:54,531 INFO hook.py line 289 1688082] Test: [62/78] Loss 0.9444 +[2025-02-27 07:23:54,566 INFO hook.py line 289 1688082] Test: [63/78] Loss 1.4544 +[2025-02-27 07:23:54,619 INFO hook.py line 289 1688082] Test: [64/78] Loss 1.7002 +[2025-02-27 07:23:54,646 INFO hook.py line 289 1688082] Test: [65/78] Loss 1.0686 +[2025-02-27 07:23:54,684 INFO hook.py line 289 1688082] Test: [66/78] Loss 0.7600 +[2025-02-27 07:23:54,721 INFO hook.py line 289 1688082] Test: [67/78] Loss 0.5603 +[2025-02-27 07:23:54,752 INFO hook.py line 289 1688082] Test: [68/78] Loss 0.9800 +[2025-02-27 07:23:54,780 INFO hook.py line 289 1688082] Test: [69/78] Loss 0.4019 +[2025-02-27 07:23:54,832 INFO hook.py line 289 1688082] Test: [70/78] Loss 1.3902 +[2025-02-27 07:23:54,872 INFO hook.py line 289 1688082] Test: [71/78] Loss 1.3719 +[2025-02-27 07:23:54,921 INFO hook.py line 289 1688082] Test: [72/78] Loss 0.4794 +[2025-02-27 07:23:54,967 INFO hook.py line 289 1688082] Test: [73/78] Loss 0.5637 +[2025-02-27 07:23:55,005 INFO hook.py line 289 1688082] Test: [74/78] Loss 2.3626 +[2025-02-27 07:23:55,051 INFO hook.py line 289 1688082] Test: [75/78] Loss 0.7954 +[2025-02-27 07:23:55,082 INFO hook.py line 289 1688082] Test: [76/78] Loss 0.9670 +[2025-02-27 07:23:55,133 INFO hook.py line 289 1688082] Test: [77/78] Loss 0.6309 +[2025-02-27 07:23:55,159 INFO hook.py line 289 1688082] Test: [78/78] Loss 0.6270 +[2025-02-27 07:23:56,568 INFO hook.py line 217 1688082] ######################################## +[2025-02-27 07:23:56,568 INFO hook.py line 222 1688082] what : mIoU Acc +[2025-02-27 07:23:56,568 INFO hook.py line 223 1688082] ######################################## +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] wall : 0.7907 0.9180 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] floor : 0.9530 0.9809 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] cabinet : 0.5068 0.6476 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] bed : 0.6899 0.7975 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] chair : 0.8504 0.9327 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] sofa : 0.7507 0.8661 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] table : 0.6434 0.7753 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] door : 0.5017 0.6378 +[2025-02-27 07:23:56,568 INFO hook.py line 232 1688082] window : 0.4568 0.5747 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] bookshelf : 0.6863 0.8242 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] picture : 0.1581 0.2076 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] counter : 0.4935 0.6366 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] desk : 0.5178 0.7092 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] curtain : 0.6051 0.7345 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] refridgerator : 0.3824 0.4385 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] shower curtain : 0.5158 0.5904 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] toilet : 0.8423 0.9299 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] sink : 0.5218 0.6299 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] bathtub : 0.7526 0.8880 +[2025-02-27 07:23:56,569 INFO hook.py line 232 1688082] otherfurniture : 0.4455 0.5482 +[2025-02-27 07:23:56,569 INFO hook.py line 233 1688082] ######################################## +[2025-02-27 07:23:56,569 INFO hook.py line 234 1688082] Overall: mIoU/mAcc/allAcc 0.6032/0.7134/0.8561. +[2025-02-27 07:23:56,569 INFO hook.py line 306 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<< +[2025-02-27 07:23:56,574 INFO misc.py line 164 1688082] Currently Best mIoU: 0.6037 +[2025-02-27 07:23:56,575 INFO misc.py line 173 1688082] Saving checkpoint to: exp/scannet/semseg-spunet-efficient-la20/model/model_last.pth +[2025-02-27 07:23:57,251 INFO hook.py line 312 1688082] Best mIoU: 0.6037 +[2025-02-27 07:23:57,252 INFO misc.py line 259 1688082] >>>>>>>>>>>>>>>> Start Precise Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:23:57,252 INFO test.py line 41 1688082] => Loading config ... +[2025-02-27 07:23:57,252 INFO test.py line 53 1688082] => Building test dataset & dataloader ... +[2025-02-27 07:23:57,253 INFO defaults.py line 68 1688082] Totally 312 x 1 samples in val set. +[2025-02-27 07:23:57,253 INFO misc.py line 270 1688082] => Testing on model_best ... +[2025-02-27 07:23:57,605 INFO test.py line 119 1688082] >>>>>>>>>>>>>>>> Start Evaluation >>>>>>>>>>>>>>>> +[2025-02-27 07:24:10,237 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 0/109 +[2025-02-27 07:24:10,257 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 1/109 +[2025-02-27 07:24:10,278 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 2/109 +[2025-02-27 07:24:10,299 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 3/109 +[2025-02-27 07:24:10,320 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 4/109 +[2025-02-27 07:24:10,341 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 5/109 +[2025-02-27 07:24:10,359 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 6/109 +[2025-02-27 07:24:10,378 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 7/109 +[2025-02-27 07:24:10,396 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 8/109 +[2025-02-27 07:24:10,416 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 9/109 +[2025-02-27 07:24:10,435 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 10/109 +[2025-02-27 07:24:10,457 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 11/109 +[2025-02-27 07:24:10,481 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 12/109 +[2025-02-27 07:24:10,502 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 13/109 +[2025-02-27 07:24:10,521 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 14/109 +[2025-02-27 07:24:10,540 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 15/109 +[2025-02-27 07:24:10,558 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 16/109 +[2025-02-27 07:24:10,576 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 17/109 +[2025-02-27 07:24:10,596 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 18/109 +[2025-02-27 07:24:10,615 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 19/109 +[2025-02-27 07:24:10,635 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 20/109 +[2025-02-27 07:24:10,654 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 21/109 +[2025-02-27 07:24:10,673 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 22/109 +[2025-02-27 07:24:10,693 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 23/109 +[2025-02-27 07:24:10,713 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 24/109 +[2025-02-27 07:24:10,733 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 25/109 +[2025-02-27 07:24:10,753 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 26/109 +[2025-02-27 07:24:10,773 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 27/109 +[2025-02-27 07:24:10,791 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 28/109 +[2025-02-27 07:24:10,811 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 29/109 +[2025-02-27 07:24:10,831 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 30/109 +[2025-02-27 07:24:10,851 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 31/109 +[2025-02-27 07:24:10,869 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 32/109 +[2025-02-27 07:24:10,889 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 33/109 +[2025-02-27 07:24:10,909 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 34/109 +[2025-02-27 07:24:10,929 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line 201 1688082] Test: 1/78-scene0406_02, Batch: 66/109 +[2025-02-27 07:24:11,604 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 67/109 +[2025-02-27 07:24:11,622 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 68/109 +[2025-02-27 07:24:11,642 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 69/109 +[2025-02-27 07:24:11,662 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 70/109 +[2025-02-27 07:24:11,681 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 71/109 +[2025-02-27 07:24:11,700 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 72/109 +[2025-02-27 07:24:11,719 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 73/109 +[2025-02-27 07:24:11,739 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 74/109 +[2025-02-27 07:24:11,759 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 75/109 +[2025-02-27 07:24:11,778 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:11,987 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 87/109 +[2025-02-27 07:24:12,005 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 88/109 +[2025-02-27 07:24:12,024 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 89/109 +[2025-02-27 07:24:12,044 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 90/109 +[2025-02-27 07:24:12,063 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 91/109 +[2025-02-27 07:24:12,083 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 92/109 +[2025-02-27 07:24:12,105 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 93/109 +[2025-02-27 07:24:12,125 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 94/109 +[2025-02-27 07:24:12,144 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 95/109 +[2025-02-27 07:24:12,162 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 96/109 +[2025-02-27 07:24:12,180 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 97/109 +[2025-02-27 07:24:12,200 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 98/109 +[2025-02-27 07:24:12,219 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 99/109 +[2025-02-27 07:24:12,238 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 100/109 +[2025-02-27 07:24:12,257 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 101/109 +[2025-02-27 07:24:12,276 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 102/109 +[2025-02-27 07:24:12,294 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 103/109 +[2025-02-27 07:24:12,313 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 104/109 +[2025-02-27 07:24:12,333 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 105/109 +[2025-02-27 07:24:12,352 INFO test.py line 201 1688082] Test: 1/78-scene0406_02, Batch: 106/109 +[2025-02-27 07:24:12,370 INFO test.py line 201 1688082] Test: 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1688082] Test: 2/78-scene0593_00, Batch: 7/134 +[2025-02-27 07:24:15,174 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 8/134 +[2025-02-27 07:24:15,217 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 9/134 +[2025-02-27 07:24:15,258 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 10/134 +[2025-02-27 07:24:15,295 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 11/134 +[2025-02-27 07:24:15,338 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 12/134 +[2025-02-27 07:24:15,427 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 13/134 +[2025-02-27 07:24:15,556 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 14/134 +[2025-02-27 07:24:15,659 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 15/134 +[2025-02-27 07:24:15,698 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 16/134 +[2025-02-27 07:24:15,736 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 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+[2025-02-27 07:24:16,892 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 49/134 +[2025-02-27 07:24:16,927 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 50/134 +[2025-02-27 07:24:16,968 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 51/134 +[2025-02-27 07:24:17,007 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 52/134 +[2025-02-27 07:24:17,058 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 53/134 +[2025-02-27 07:24:17,109 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 54/134 +[2025-02-27 07:24:17,382 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 55/134 +[2025-02-27 07:24:17,625 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 56/134 +[2025-02-27 07:24:17,825 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 57/134 +[2025-02-27 07:24:18,023 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 58/134 +[2025-02-27 07:24:18,180 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 59/134 +[2025-02-27 07:24:18,227 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 60/134 +[2025-02-27 07:24:18,268 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 61/134 +[2025-02-27 07:24:18,301 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 62/134 +[2025-02-27 07:24:18,332 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 63/134 +[2025-02-27 07:24:18,362 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 64/134 +[2025-02-27 07:24:18,392 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 65/134 +[2025-02-27 07:24:18,423 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 66/134 +[2025-02-27 07:24:18,455 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 67/134 +[2025-02-27 07:24:18,487 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 68/134 +[2025-02-27 07:24:18,518 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:18,868 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 80/134 +[2025-02-27 07:24:18,901 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 81/134 +[2025-02-27 07:24:18,934 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 82/134 +[2025-02-27 07:24:18,966 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 83/134 +[2025-02-27 07:24:18,999 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 84/134 +[2025-02-27 07:24:19,033 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 85/134 +[2025-02-27 07:24:19,067 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 86/134 +[2025-02-27 07:24:19,101 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 87/134 +[2025-02-27 07:24:19,137 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 88/134 +[2025-02-27 07:24:19,174 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 89/134 +[2025-02-27 07:24:19,211 INFO test.py 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07:24:20,341 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 121/134 +[2025-02-27 07:24:20,376 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 122/134 +[2025-02-27 07:24:20,410 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 123/134 +[2025-02-27 07:24:20,443 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 124/134 +[2025-02-27 07:24:20,476 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 125/134 +[2025-02-27 07:24:20,509 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 126/134 +[2025-02-27 07:24:20,543 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 127/134 +[2025-02-27 07:24:20,577 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 128/134 +[2025-02-27 07:24:20,620 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 129/134 +[2025-02-27 07:24:20,656 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 130/134 +[2025-02-27 07:24:20,690 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 131/134 +[2025-02-27 07:24:20,722 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 132/134 +[2025-02-27 07:24:20,758 INFO test.py line 201 1688082] Test: 2/78-scene0593_00, Batch: 133/134 +[2025-02-27 07:24:21,047 INFO test.py line 289 1688082] Test: scene0593_00 [2/78]-211902 Batch 6.457 (4.335) Accuracy 0.8974 (0.5282) mIoU 0.3725 (0.4839) +[2025-02-27 07:24:21,076 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 0/143 +[2025-02-27 07:24:21,100 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 1/143 +[2025-02-27 07:24:21,129 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 2/143 +[2025-02-27 07:24:21,166 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 3/143 +[2025-02-27 07:24:21,190 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 4/143 +[2025-02-27 07:24:21,215 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 5/143 +[2025-02-27 07:24:21,241 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+[2025-02-27 07:24:21,892 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 27/143 +[2025-02-27 07:24:21,917 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 28/143 +[2025-02-27 07:24:21,954 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 29/143 +[2025-02-27 07:24:21,982 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 30/143 +[2025-02-27 07:24:22,007 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 31/143 +[2025-02-27 07:24:22,033 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 32/143 +[2025-02-27 07:24:22,058 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 33/143 +[2025-02-27 07:24:22,085 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 34/143 +[2025-02-27 07:24:22,120 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 35/143 +[2025-02-27 07:24:22,146 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 36/143 +[2025-02-27 07:24:22,171 INFO test.py 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+[2025-02-27 07:24:23,600 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 89/143 +[2025-02-27 07:24:23,624 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 90/143 +[2025-02-27 07:24:23,646 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 91/143 +[2025-02-27 07:24:23,667 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 92/143 +[2025-02-27 07:24:23,690 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 93/143 +[2025-02-27 07:24:23,713 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 94/143 +[2025-02-27 07:24:23,735 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 95/143 +[2025-02-27 07:24:23,759 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 96/143 +[2025-02-27 07:24:23,791 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 97/143 +[2025-02-27 07:24:23,820 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 98/143 +[2025-02-27 07:24:23,850 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 99/143 +[2025-02-27 07:24:23,881 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 100/143 +[2025-02-27 07:24:23,914 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 101/143 +[2025-02-27 07:24:23,942 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 102/143 +[2025-02-27 07:24:23,968 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 103/143 +[2025-02-27 07:24:23,991 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 104/143 +[2025-02-27 07:24:24,020 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 105/143 +[2025-02-27 07:24:24,067 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 106/143 +[2025-02-27 07:24:24,090 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 107/143 +[2025-02-27 07:24:24,112 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 108/143 +[2025-02-27 07:24:24,135 INFO test.py line 201 1688082] Test: 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07:24:24,598 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 130/143 +[2025-02-27 07:24:24,620 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 131/143 +[2025-02-27 07:24:24,641 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 132/143 +[2025-02-27 07:24:24,663 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 133/143 +[2025-02-27 07:24:24,685 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 134/143 +[2025-02-27 07:24:24,707 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 135/143 +[2025-02-27 07:24:24,728 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 136/143 +[2025-02-27 07:24:24,750 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 137/143 +[2025-02-27 07:24:24,771 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 138/143 +[2025-02-27 07:24:24,793 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 139/143 +[2025-02-27 07:24:24,814 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 140/143 +[2025-02-27 07:24:24,836 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 141/143 +[2025-02-27 07:24:24,857 INFO test.py line 201 1688082] Test: 3/78-scene0356_01, Batch: 142/143 +[2025-02-27 07:24:24,938 INFO test.py line 289 1688082] Test: scene0356_01 [3/78]-96610 Batch 3.890 (4.187) Accuracy 0.9039 (0.6643) mIoU 0.5186 (0.5863) +[2025-02-27 07:24:24,970 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 0/142 +[2025-02-27 07:24:25,000 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 1/142 +[2025-02-27 07:24:25,027 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 2/142 +[2025-02-27 07:24:25,054 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 3/142 +[2025-02-27 07:24:25,082 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 4/142 +[2025-02-27 07:24:25,142 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 5/142 +[2025-02-27 07:24:25,176 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 6/142 +[2025-02-27 07:24:25,208 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 7/142 +[2025-02-27 07:24:25,248 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 8/142 +[2025-02-27 07:24:25,275 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 9/142 +[2025-02-27 07:24:25,303 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 10/142 +[2025-02-27 07:24:25,331 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 11/142 +[2025-02-27 07:24:25,358 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 12/142 +[2025-02-27 07:24:25,389 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 13/142 +[2025-02-27 07:24:25,417 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 14/142 +[2025-02-27 07:24:25,444 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 15/142 +[2025-02-27 07:24:25,471 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:25,776 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 27/142 +[2025-02-27 07:24:25,814 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 28/142 +[2025-02-27 07:24:25,842 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 29/142 +[2025-02-27 07:24:25,868 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 30/142 +[2025-02-27 07:24:25,898 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 31/142 +[2025-02-27 07:24:25,925 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 32/142 +[2025-02-27 07:24:25,953 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 33/142 +[2025-02-27 07:24:25,991 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 34/142 +[2025-02-27 07:24:26,059 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 35/142 +[2025-02-27 07:24:26,100 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 36/142 +[2025-02-27 07:24:26,146 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 37/142 +[2025-02-27 07:24:26,178 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 38/142 +[2025-02-27 07:24:26,213 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 39/142 +[2025-02-27 07:24:26,251 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 40/142 +[2025-02-27 07:24:26,288 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 41/142 +[2025-02-27 07:24:26,321 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 42/142 +[2025-02-27 07:24:26,355 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 43/142 +[2025-02-27 07:24:26,385 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 44/142 +[2025-02-27 07:24:26,415 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 45/142 +[2025-02-27 07:24:26,440 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 46/142 +[2025-02-27 07:24:26,473 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:26,884 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 58/142 +[2025-02-27 07:24:26,935 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 59/142 +[2025-02-27 07:24:26,973 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 60/142 +[2025-02-27 07:24:27,016 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 61/142 +[2025-02-27 07:24:27,065 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 62/142 +[2025-02-27 07:24:27,114 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 63/142 +[2025-02-27 07:24:27,147 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 64/142 +[2025-02-27 07:24:27,179 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 65/142 +[2025-02-27 07:24:27,209 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 66/142 +[2025-02-27 07:24:27,240 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 67/142 +[2025-02-27 07:24:27,267 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 68/142 +[2025-02-27 07:24:27,294 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 69/142 +[2025-02-27 07:24:27,321 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 70/142 +[2025-02-27 07:24:27,348 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 71/142 +[2025-02-27 07:24:27,408 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 72/142 +[2025-02-27 07:24:27,463 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 73/142 +[2025-02-27 07:24:27,491 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 74/142 +[2025-02-27 07:24:27,521 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 75/142 +[2025-02-27 07:24:27,548 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 76/142 +[2025-02-27 07:24:27,575 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 77/142 +[2025-02-27 07:24:27,603 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:27,911 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 89/142 +[2025-02-27 07:24:27,947 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 90/142 +[2025-02-27 07:24:27,974 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 91/142 +[2025-02-27 07:24:28,006 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 92/142 +[2025-02-27 07:24:28,037 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 93/142 +[2025-02-27 07:24:28,065 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 94/142 +[2025-02-27 07:24:28,094 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 95/142 +[2025-02-27 07:24:28,131 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 96/142 +[2025-02-27 07:24:28,159 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 97/142 +[2025-02-27 07:24:28,187 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 98/142 +[2025-02-27 07:24:28,218 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 99/142 +[2025-02-27 07:24:28,244 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 100/142 +[2025-02-27 07:24:28,273 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 101/142 +[2025-02-27 07:24:28,303 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 102/142 +[2025-02-27 07:24:28,330 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 103/142 +[2025-02-27 07:24:28,359 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 104/142 +[2025-02-27 07:24:28,387 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 105/142 +[2025-02-27 07:24:28,417 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 106/142 +[2025-02-27 07:24:28,444 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 107/142 +[2025-02-27 07:24:28,473 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 108/142 +[2025-02-27 07:24:28,500 INFO test.py line 201 1688082] Test: 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07:24:29,093 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 130/142 +[2025-02-27 07:24:29,122 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 131/142 +[2025-02-27 07:24:29,158 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 132/142 +[2025-02-27 07:24:29,189 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 133/142 +[2025-02-27 07:24:29,216 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 134/142 +[2025-02-27 07:24:29,243 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 135/142 +[2025-02-27 07:24:29,272 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 136/142 +[2025-02-27 07:24:29,300 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 137/142 +[2025-02-27 07:24:29,327 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 138/142 +[2025-02-27 07:24:29,354 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 139/142 +[2025-02-27 07:24:29,381 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 140/142 +[2025-02-27 07:24:29,437 INFO test.py line 201 1688082] Test: 4/78-scene0578_02, Batch: 141/142 +[2025-02-27 07:24:29,586 INFO test.py line 289 1688082] Test: scene0578_02 [4/78]-128553 Batch 4.647 (4.302) Accuracy 0.9113 (0.6498) mIoU 0.4063 (0.5960) +[2025-02-27 07:24:29,617 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 0/113 +[2025-02-27 07:24:29,645 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 1/113 +[2025-02-27 07:24:29,672 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 2/113 +[2025-02-27 07:24:29,708 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 3/113 +[2025-02-27 07:24:29,734 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 4/113 +[2025-02-27 07:24:29,761 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 5/113 +[2025-02-27 07:24:29,787 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 6/113 +[2025-02-27 07:24:29,813 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 7/113 +[2025-02-27 07:24:29,859 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 8/113 +[2025-02-27 07:24:29,887 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 9/113 +[2025-02-27 07:24:29,913 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 10/113 +[2025-02-27 07:24:29,939 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 11/113 +[2025-02-27 07:24:29,966 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 12/113 +[2025-02-27 07:24:29,998 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 13/113 +[2025-02-27 07:24:30,023 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 14/113 +[2025-02-27 07:24:30,073 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 15/113 +[2025-02-27 07:24:30,099 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 16/113 +[2025-02-27 07:24:30,124 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:30,455 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 28/113 +[2025-02-27 07:24:30,481 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 29/113 +[2025-02-27 07:24:30,514 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 30/113 +[2025-02-27 07:24:30,540 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 31/113 +[2025-02-27 07:24:30,565 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 32/113 +[2025-02-27 07:24:30,590 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 33/113 +[2025-02-27 07:24:30,621 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 34/113 +[2025-02-27 07:24:30,650 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 35/113 +[2025-02-27 07:24:30,675 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 36/113 +[2025-02-27 07:24:30,701 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 37/113 +[2025-02-27 07:24:30,728 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 38/113 +[2025-02-27 07:24:30,784 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 39/113 +[2025-02-27 07:24:30,813 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 40/113 +[2025-02-27 07:24:30,840 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 41/113 +[2025-02-27 07:24:30,870 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 42/113 +[2025-02-27 07:24:30,899 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 43/113 +[2025-02-27 07:24:30,927 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 44/113 +[2025-02-27 07:24:30,954 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 45/113 +[2025-02-27 07:24:30,979 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 46/113 +[2025-02-27 07:24:31,003 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 47/113 +[2025-02-27 07:24:31,049 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:31,347 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 59/113 +[2025-02-27 07:24:31,372 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 60/113 +[2025-02-27 07:24:31,397 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 61/113 +[2025-02-27 07:24:31,422 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 62/113 +[2025-02-27 07:24:31,447 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 63/113 +[2025-02-27 07:24:31,472 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 64/113 +[2025-02-27 07:24:31,497 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 65/113 +[2025-02-27 07:24:31,522 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 66/113 +[2025-02-27 07:24:31,547 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 67/113 +[2025-02-27 07:24:31,573 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 68/113 +[2025-02-27 07:24:31,600 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 69/113 +[2025-02-27 07:24:31,627 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 70/113 +[2025-02-27 07:24:31,653 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 71/113 +[2025-02-27 07:24:31,696 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 72/113 +[2025-02-27 07:24:31,722 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 73/113 +[2025-02-27 07:24:31,747 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 74/113 +[2025-02-27 07:24:31,772 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 75/113 +[2025-02-27 07:24:31,798 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 76/113 +[2025-02-27 07:24:31,827 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 77/113 +[2025-02-27 07:24:31,854 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 78/113 +[2025-02-27 07:24:31,882 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:32,262 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 90/113 +[2025-02-27 07:24:32,287 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 91/113 +[2025-02-27 07:24:32,312 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 92/113 +[2025-02-27 07:24:32,340 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 93/113 +[2025-02-27 07:24:32,366 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 94/113 +[2025-02-27 07:24:32,393 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 95/113 +[2025-02-27 07:24:32,420 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 96/113 +[2025-02-27 07:24:32,446 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 97/113 +[2025-02-27 07:24:32,478 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 98/113 +[2025-02-27 07:24:32,513 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 99/113 +[2025-02-27 07:24:32,550 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 100/113 +[2025-02-27 07:24:32,576 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 101/113 +[2025-02-27 07:24:32,603 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 102/113 +[2025-02-27 07:24:32,627 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 103/113 +[2025-02-27 07:24:32,653 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 104/113 +[2025-02-27 07:24:32,678 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 105/113 +[2025-02-27 07:24:32,710 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 106/113 +[2025-02-27 07:24:32,737 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 107/113 +[2025-02-27 07:24:32,762 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 108/113 +[2025-02-27 07:24:32,788 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 109/113 +[2025-02-27 07:24:32,812 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 110/113 +[2025-02-27 07:24:32,846 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 111/113 +[2025-02-27 07:24:32,871 INFO test.py line 201 1688082] Test: 5/78-scene0077_01, Batch: 112/113 +[2025-02-27 07:24:33,004 INFO test.py line 289 1688082] Test: scene0077_01 [5/78]-90381 Batch 3.418 (4.125) Accuracy 0.9148 (0.6649) mIoU 0.4424 (0.6062) +[2025-02-27 07:24:33,038 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 0/121 +[2025-02-27 07:24:33,075 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 1/121 +[2025-02-27 07:24:33,105 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 2/121 +[2025-02-27 07:24:33,134 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 3/121 +[2025-02-27 07:24:33,160 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 4/121 +[2025-02-27 07:24:33,186 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 5/121 +[2025-02-27 07:24:33,212 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 6/121 +[2025-02-27 07:24:33,238 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 7/121 +[2025-02-27 07:24:33,263 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 8/121 +[2025-02-27 07:24:33,288 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 9/121 +[2025-02-27 07:24:33,317 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 10/121 +[2025-02-27 07:24:33,345 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 11/121 +[2025-02-27 07:24:33,374 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 12/121 +[2025-02-27 07:24:33,402 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 13/121 +[2025-02-27 07:24:33,427 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 14/121 +[2025-02-27 07:24:33,455 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 15/121 +[2025-02-27 07:24:33,481 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 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test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 27/121 +[2025-02-27 07:24:33,844 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 28/121 +[2025-02-27 07:24:33,869 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 29/121 +[2025-02-27 07:24:33,901 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 30/121 +[2025-02-27 07:24:33,928 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 31/121 +[2025-02-27 07:24:33,958 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 32/121 +[2025-02-27 07:24:33,983 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 33/121 +[2025-02-27 07:24:34,010 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 34/121 +[2025-02-27 07:24:34,044 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 35/121 +[2025-02-27 07:24:34,068 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 36/121 +[2025-02-27 07:24:34,112 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:34,435 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 48/121 +[2025-02-27 07:24:34,461 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 49/121 +[2025-02-27 07:24:34,488 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 50/121 +[2025-02-27 07:24:34,513 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 51/121 +[2025-02-27 07:24:34,539 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 52/121 +[2025-02-27 07:24:34,565 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 53/121 +[2025-02-27 07:24:34,592 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 54/121 +[2025-02-27 07:24:34,617 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 55/121 +[2025-02-27 07:24:34,645 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 56/121 +[2025-02-27 07:24:34,671 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 57/121 +[2025-02-27 07:24:34,698 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 58/121 +[2025-02-27 07:24:34,726 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 59/121 +[2025-02-27 07:24:34,766 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 60/121 +[2025-02-27 07:24:34,794 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 61/121 +[2025-02-27 07:24:34,821 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 62/121 +[2025-02-27 07:24:34,848 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 63/121 +[2025-02-27 07:24:34,875 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 64/121 +[2025-02-27 07:24:34,914 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 65/121 +[2025-02-27 07:24:34,945 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 66/121 +[2025-02-27 07:24:34,971 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 67/121 +[2025-02-27 07:24:34,997 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:35,382 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 79/121 +[2025-02-27 07:24:35,410 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 80/121 +[2025-02-27 07:24:35,437 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 81/121 +[2025-02-27 07:24:35,463 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 82/121 +[2025-02-27 07:24:35,493 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 83/121 +[2025-02-27 07:24:35,520 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 84/121 +[2025-02-27 07:24:35,549 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 85/121 +[2025-02-27 07:24:35,579 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 86/121 +[2025-02-27 07:24:35,609 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 87/121 +[2025-02-27 07:24:35,636 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 88/121 +[2025-02-27 07:24:35,664 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 89/121 +[2025-02-27 07:24:35,691 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 90/121 +[2025-02-27 07:24:35,724 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 91/121 +[2025-02-27 07:24:35,752 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 92/121 +[2025-02-27 07:24:35,779 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 93/121 +[2025-02-27 07:24:35,807 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 94/121 +[2025-02-27 07:24:35,840 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 95/121 +[2025-02-27 07:24:35,867 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 96/121 +[2025-02-27 07:24:35,919 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 97/121 +[2025-02-27 07:24:35,949 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 98/121 +[2025-02-27 07:24:35,978 INFO test.py line 201 1688082] Test: 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07:24:36,601 INFO test.py line 201 1688082] Test: 6/78-scene0382_01, Batch: 120/121 +[2025-02-27 07:24:36,716 INFO test.py line 289 1688082] Test: scene0382_01 [6/78]-96933 Batch 3.711 (4.056) Accuracy 0.7871 (0.6544) mIoU 0.2768 (0.5823) +[2025-02-27 07:24:38,621 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 0/134 +[2025-02-27 07:24:38,687 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 1/134 +[2025-02-27 07:24:38,759 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 2/134 +[2025-02-27 07:24:38,821 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 3/134 +[2025-02-27 07:24:38,890 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 4/134 +[2025-02-27 07:24:38,957 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 5/134 +[2025-02-27 07:24:39,015 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 6/134 +[2025-02-27 07:24:39,082 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 7/134 +[2025-02-27 07:24:39,144 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 8/134 +[2025-02-27 07:24:39,228 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 9/134 +[2025-02-27 07:24:39,284 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 10/134 +[2025-02-27 07:24:39,345 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 11/134 +[2025-02-27 07:24:39,406 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 12/134 +[2025-02-27 07:24:39,467 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 13/134 +[2025-02-27 07:24:39,523 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 14/134 +[2025-02-27 07:24:39,587 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 15/134 +[2025-02-27 07:24:39,650 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 16/134 +[2025-02-27 07:24:39,705 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 17/134 +[2025-02-27 07:24:39,760 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 18/134 +[2025-02-27 07:24:39,816 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 19/134 +[2025-02-27 07:24:39,869 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 20/134 +[2025-02-27 07:24:39,915 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 21/134 +[2025-02-27 07:24:39,964 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 22/134 +[2025-02-27 07:24:40,013 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 23/134 +[2025-02-27 07:24:40,063 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 24/134 +[2025-02-27 07:24:40,109 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 25/134 +[2025-02-27 07:24:40,156 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 26/134 +[2025-02-27 07:24:40,203 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 27/134 +[2025-02-27 07:24:40,251 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:40,797 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 39/134 +[2025-02-27 07:24:40,843 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 40/134 +[2025-02-27 07:24:40,888 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 41/134 +[2025-02-27 07:24:40,932 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 42/134 +[2025-02-27 07:24:40,977 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 43/134 +[2025-02-27 07:24:41,024 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 44/134 +[2025-02-27 07:24:41,070 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 45/134 +[2025-02-27 07:24:41,136 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 46/134 +[2025-02-27 07:24:41,214 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 47/134 +[2025-02-27 07:24:41,270 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 48/134 +[2025-02-27 07:24:41,322 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 49/134 +[2025-02-27 07:24:41,374 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 50/134 +[2025-02-27 07:24:41,431 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 51/134 +[2025-02-27 07:24:41,485 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 52/134 +[2025-02-27 07:24:41,541 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 53/134 +[2025-02-27 07:24:41,597 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 54/134 +[2025-02-27 07:24:41,653 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 55/134 +[2025-02-27 07:24:41,699 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 56/134 +[2025-02-27 07:24:41,746 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 57/134 +[2025-02-27 07:24:41,797 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 58/134 +[2025-02-27 07:24:41,842 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:42,409 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 70/134 +[2025-02-27 07:24:42,497 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 71/134 +[2025-02-27 07:24:42,551 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 72/134 +[2025-02-27 07:24:42,605 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 73/134 +[2025-02-27 07:24:42,650 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 74/134 +[2025-02-27 07:24:42,695 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 75/134 +[2025-02-27 07:24:42,742 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 76/134 +[2025-02-27 07:24:42,790 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 77/134 +[2025-02-27 07:24:42,836 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 78/134 +[2025-02-27 07:24:42,886 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 79/134 +[2025-02-27 07:24:42,939 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 80/134 +[2025-02-27 07:24:42,984 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 81/134 +[2025-02-27 07:24:43,029 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 82/134 +[2025-02-27 07:24:43,089 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 83/134 +[2025-02-27 07:24:43,145 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 84/134 +[2025-02-27 07:24:43,191 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 85/134 +[2025-02-27 07:24:43,236 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 86/134 +[2025-02-27 07:24:43,283 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 87/134 +[2025-02-27 07:24:43,332 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 88/134 +[2025-02-27 07:24:43,381 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 89/134 +[2025-02-27 07:24:43,456 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:44,026 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 101/134 +[2025-02-27 07:24:44,086 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 102/134 +[2025-02-27 07:24:44,135 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 103/134 +[2025-02-27 07:24:44,197 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 104/134 +[2025-02-27 07:24:44,246 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 105/134 +[2025-02-27 07:24:44,293 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 106/134 +[2025-02-27 07:24:44,342 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 107/134 +[2025-02-27 07:24:44,391 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 108/134 +[2025-02-27 07:24:44,439 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 109/134 +[2025-02-27 07:24:44,498 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 110/134 +[2025-02-27 07:24:44,546 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 111/134 +[2025-02-27 07:24:44,595 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 112/134 +[2025-02-27 07:24:44,644 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 113/134 +[2025-02-27 07:24:44,696 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 114/134 +[2025-02-27 07:24:44,746 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 115/134 +[2025-02-27 07:24:44,793 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 116/134 +[2025-02-27 07:24:44,841 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 117/134 +[2025-02-27 07:24:44,895 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 118/134 +[2025-02-27 07:24:44,944 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 119/134 +[2025-02-27 07:24:44,991 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 120/134 +[2025-02-27 07:24:45,039 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 121/134 +[2025-02-27 07:24:45,086 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 122/134 +[2025-02-27 07:24:45,135 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 123/134 +[2025-02-27 07:24:45,182 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 124/134 +[2025-02-27 07:24:45,229 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 125/134 +[2025-02-27 07:24:45,281 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 126/134 +[2025-02-27 07:24:45,343 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 127/134 +[2025-02-27 07:24:45,390 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 128/134 +[2025-02-27 07:24:45,437 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 129/134 +[2025-02-27 07:24:45,484 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 130/134 +[2025-02-27 07:24:45,532 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 131/134 +[2025-02-27 07:24:45,585 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 132/134 +[2025-02-27 07:24:45,630 INFO test.py line 201 1688082] Test: 7/78-scene0653_01, Batch: 133/134 +[2025-02-27 07:24:46,127 INFO test.py line 289 1688082] Test: scene0653_01 [7/78]-331565 Batch 7.571 (4.558) Accuracy 0.8789 (0.6590) mIoU 0.3076 (0.5769) +[2025-02-27 07:24:46,166 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 0/113 +[2025-02-27 07:24:46,185 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 1/113 +[2025-02-27 07:24:46,212 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 2/113 +[2025-02-27 07:24:46,233 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 3/113 +[2025-02-27 07:24:46,254 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 4/113 +[2025-02-27 07:24:46,272 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 5/113 +[2025-02-27 07:24:46,295 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:46,512 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 17/113 +[2025-02-27 07:24:46,531 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 18/113 +[2025-02-27 07:24:46,550 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 19/113 +[2025-02-27 07:24:46,569 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 20/113 +[2025-02-27 07:24:46,587 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 21/113 +[2025-02-27 07:24:46,607 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 22/113 +[2025-02-27 07:24:46,626 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 23/113 +[2025-02-27 07:24:46,647 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 24/113 +[2025-02-27 07:24:46,668 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 25/113 +[2025-02-27 07:24:46,688 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 26/113 +[2025-02-27 07:24:46,710 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 27/113 +[2025-02-27 07:24:46,733 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 28/113 +[2025-02-27 07:24:46,751 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 29/113 +[2025-02-27 07:24:46,770 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 30/113 +[2025-02-27 07:24:46,788 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 31/113 +[2025-02-27 07:24:46,815 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 32/113 +[2025-02-27 07:24:46,836 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 33/113 +[2025-02-27 07:24:46,855 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 34/113 +[2025-02-27 07:24:46,875 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 35/113 +[2025-02-27 07:24:46,901 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 36/113 +[2025-02-27 07:24:46,939 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:47,157 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 48/113 +[2025-02-27 07:24:47,177 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 49/113 +[2025-02-27 07:24:47,196 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 50/113 +[2025-02-27 07:24:47,242 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 51/113 +[2025-02-27 07:24:47,273 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 52/113 +[2025-02-27 07:24:47,305 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 53/113 +[2025-02-27 07:24:47,336 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 54/113 +[2025-02-27 07:24:47,367 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 55/113 +[2025-02-27 07:24:47,398 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 56/113 +[2025-02-27 07:24:47,426 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 57/113 +[2025-02-27 07:24:47,454 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 58/113 +[2025-02-27 07:24:47,479 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 59/113 +[2025-02-27 07:24:47,506 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 60/113 +[2025-02-27 07:24:47,536 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 61/113 +[2025-02-27 07:24:47,567 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 62/113 +[2025-02-27 07:24:47,600 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 63/113 +[2025-02-27 07:24:47,628 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 64/113 +[2025-02-27 07:24:47,655 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 65/113 +[2025-02-27 07:24:47,685 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 66/113 +[2025-02-27 07:24:47,714 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 67/113 +[2025-02-27 07:24:47,746 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:48,127 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 79/113 +[2025-02-27 07:24:48,172 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 80/113 +[2025-02-27 07:24:48,216 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 81/113 +[2025-02-27 07:24:48,249 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 82/113 +[2025-02-27 07:24:48,271 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 83/113 +[2025-02-27 07:24:48,289 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 84/113 +[2025-02-27 07:24:48,307 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 85/113 +[2025-02-27 07:24:48,327 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 86/113 +[2025-02-27 07:24:48,346 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 87/113 +[2025-02-27 07:24:48,384 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 88/113 +[2025-02-27 07:24:48,406 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 89/113 +[2025-02-27 07:24:48,428 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 90/113 +[2025-02-27 07:24:48,448 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 91/113 +[2025-02-27 07:24:48,481 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 92/113 +[2025-02-27 07:24:48,518 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 93/113 +[2025-02-27 07:24:48,554 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 94/113 +[2025-02-27 07:24:48,577 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 95/113 +[2025-02-27 07:24:48,598 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 96/113 +[2025-02-27 07:24:48,620 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 97/113 +[2025-02-27 07:24:48,639 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 98/113 +[2025-02-27 07:24:48,657 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 99/113 +[2025-02-27 07:24:48,675 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 100/113 +[2025-02-27 07:24:48,699 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 101/113 +[2025-02-27 07:24:48,717 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 102/113 +[2025-02-27 07:24:48,737 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 103/113 +[2025-02-27 07:24:48,754 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 104/113 +[2025-02-27 07:24:48,772 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 105/113 +[2025-02-27 07:24:48,790 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 106/113 +[2025-02-27 07:24:48,808 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 107/113 +[2025-02-27 07:24:48,828 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 108/113 +[2025-02-27 07:24:48,846 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 109/113 +[2025-02-27 07:24:48,875 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 110/113 +[2025-02-27 07:24:48,899 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 111/113 +[2025-02-27 07:24:48,917 INFO test.py line 201 1688082] Test: 8/78-scene0684_00, Batch: 112/113 +[2025-02-27 07:24:48,955 INFO test.py line 289 1688082] Test: scene0684_00 [8/78]-41364 Batch 2.827 (4.342) Accuracy 0.9334 (0.6584) mIoU 0.5332 (0.5787) +[2025-02-27 07:24:48,995 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 0/130 +[2025-02-27 07:24:49,023 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 1/130 +[2025-02-27 07:24:49,051 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 2/130 +[2025-02-27 07:24:49,080 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 3/130 +[2025-02-27 07:24:49,108 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 4/130 +[2025-02-27 07:24:49,141 INFO test.py line 201 1688082] Test: 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07:24:49,553 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 16/130 +[2025-02-27 07:24:49,594 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 17/130 +[2025-02-27 07:24:49,627 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 18/130 +[2025-02-27 07:24:49,666 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 19/130 +[2025-02-27 07:24:49,703 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 20/130 +[2025-02-27 07:24:49,740 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 21/130 +[2025-02-27 07:24:49,776 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 22/130 +[2025-02-27 07:24:49,820 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 23/130 +[2025-02-27 07:24:49,861 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 24/130 +[2025-02-27 07:24:49,909 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 25/130 +[2025-02-27 07:24:49,951 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 26/130 +[2025-02-27 07:24:49,987 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 27/130 +[2025-02-27 07:24:50,023 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 28/130 +[2025-02-27 07:24:50,066 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 29/130 +[2025-02-27 07:24:50,117 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 30/130 +[2025-02-27 07:24:50,158 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 31/130 +[2025-02-27 07:24:50,195 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 32/130 +[2025-02-27 07:24:50,230 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 33/130 +[2025-02-27 07:24:50,269 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 34/130 +[2025-02-27 07:24:50,309 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 35/130 +[2025-02-27 07:24:50,349 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 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test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 47/130 +[2025-02-27 07:24:50,753 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 48/130 +[2025-02-27 07:24:50,781 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 49/130 +[2025-02-27 07:24:50,858 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 50/130 +[2025-02-27 07:24:50,904 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 51/130 +[2025-02-27 07:24:50,945 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 52/130 +[2025-02-27 07:24:50,986 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 53/130 +[2025-02-27 07:24:51,029 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 54/130 +[2025-02-27 07:24:51,073 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 55/130 +[2025-02-27 07:24:51,138 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 56/130 +[2025-02-27 07:24:51,183 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:51,627 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 68/130 +[2025-02-27 07:24:51,659 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 69/130 +[2025-02-27 07:24:51,690 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 70/130 +[2025-02-27 07:24:51,723 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 71/130 +[2025-02-27 07:24:51,756 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 72/130 +[2025-02-27 07:24:51,812 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 73/130 +[2025-02-27 07:24:51,852 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 74/130 +[2025-02-27 07:24:51,892 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 75/130 +[2025-02-27 07:24:51,934 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 76/130 +[2025-02-27 07:24:51,978 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 77/130 +[2025-02-27 07:24:52,020 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 78/130 +[2025-02-27 07:24:52,083 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 79/130 +[2025-02-27 07:24:52,123 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 80/130 +[2025-02-27 07:24:52,165 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 81/130 +[2025-02-27 07:24:52,210 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 82/130 +[2025-02-27 07:24:52,249 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 83/130 +[2025-02-27 07:24:52,302 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 84/130 +[2025-02-27 07:24:52,334 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 85/130 +[2025-02-27 07:24:52,368 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 86/130 +[2025-02-27 07:24:52,403 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 87/130 +[2025-02-27 07:24:52,468 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:24:52,852 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 99/130 +[2025-02-27 07:24:52,885 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 100/130 +[2025-02-27 07:24:52,918 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 101/130 +[2025-02-27 07:24:52,954 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 102/130 +[2025-02-27 07:24:52,989 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 103/130 +[2025-02-27 07:24:53,022 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 104/130 +[2025-02-27 07:24:53,054 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 105/130 +[2025-02-27 07:24:53,088 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 106/130 +[2025-02-27 07:24:53,123 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 107/130 +[2025-02-27 07:24:53,156 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 108/130 +[2025-02-27 07:24:53,190 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 109/130 +[2025-02-27 07:24:53,223 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 110/130 +[2025-02-27 07:24:53,262 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 111/130 +[2025-02-27 07:24:53,308 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 112/130 +[2025-02-27 07:24:53,344 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 113/130 +[2025-02-27 07:24:53,378 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 114/130 +[2025-02-27 07:24:53,412 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 115/130 +[2025-02-27 07:24:53,446 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 116/130 +[2025-02-27 07:24:53,480 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 117/130 +[2025-02-27 07:24:53,530 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 118/130 +[2025-02-27 07:24:53,575 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 119/130 +[2025-02-27 07:24:53,608 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 120/130 +[2025-02-27 07:24:53,645 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 121/130 +[2025-02-27 07:24:53,678 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 122/130 +[2025-02-27 07:24:53,710 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 123/130 +[2025-02-27 07:24:53,755 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 124/130 +[2025-02-27 07:24:53,798 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 125/130 +[2025-02-27 07:24:53,843 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 126/130 +[2025-02-27 07:24:53,885 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 127/130 +[2025-02-27 07:24:53,937 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 128/130 +[2025-02-27 07:24:53,989 INFO test.py line 201 1688082] Test: 9/78-scene0257_00, Batch: 129/130 +[2025-02-27 07:24:54,331 INFO test.py line 289 1688082] Test: scene0257_00 [9/78]-180928 Batch 5.375 (4.457) Accuracy 0.8465 (0.6290) mIoU 0.2336 (0.5520) +[2025-02-27 07:24:54,374 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 0/130 +[2025-02-27 07:24:54,414 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 1/130 +[2025-02-27 07:24:54,485 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 2/130 +[2025-02-27 07:24:54,535 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 3/130 +[2025-02-27 07:24:54,572 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 4/130 +[2025-02-27 07:24:54,607 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 5/130 +[2025-02-27 07:24:54,642 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 6/130 +[2025-02-27 07:24:54,679 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 7/130 +[2025-02-27 07:24:54,743 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 8/130 +[2025-02-27 07:24:54,780 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 9/130 +[2025-02-27 07:24:54,816 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 10/130 +[2025-02-27 07:24:54,853 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 11/130 +[2025-02-27 07:24:54,890 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 12/130 +[2025-02-27 07:24:54,927 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 13/130 +[2025-02-27 07:24:54,962 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 14/130 +[2025-02-27 07:24:55,012 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 15/130 +[2025-02-27 07:24:55,047 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 16/130 +[2025-02-27 07:24:55,082 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 17/130 +[2025-02-27 07:24:55,109 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 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07:24:58,397 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 111/130 +[2025-02-27 07:24:58,444 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 112/130 +[2025-02-27 07:24:58,479 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 113/130 +[2025-02-27 07:24:58,509 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 114/130 +[2025-02-27 07:24:58,535 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 115/130 +[2025-02-27 07:24:58,560 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 116/130 +[2025-02-27 07:24:58,589 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 117/130 +[2025-02-27 07:24:58,624 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 118/130 +[2025-02-27 07:24:58,651 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 119/130 +[2025-02-27 07:24:58,701 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 120/130 +[2025-02-27 07:24:58,726 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 121/130 +[2025-02-27 07:24:58,770 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 122/130 +[2025-02-27 07:24:58,796 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 123/130 +[2025-02-27 07:24:58,828 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 124/130 +[2025-02-27 07:24:58,854 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 125/130 +[2025-02-27 07:24:58,880 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 126/130 +[2025-02-27 07:24:58,906 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 127/130 +[2025-02-27 07:24:58,933 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 128/130 +[2025-02-27 07:24:58,957 INFO test.py line 201 1688082] Test: 10/78-scene0164_01, Batch: 129/130 +[2025-02-27 07:24:59,058 INFO test.py line 289 1688082] Test: scene0164_01 [10/78]-88073 Batch 4.726 (4.484) Accuracy 0.8093 (0.6919) mIoU 0.3377 (0.6133) +[2025-02-27 07:24:59,108 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 0/130 +[2025-02-27 07:24:59,149 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 1/130 +[2025-02-27 07:24:59,190 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 2/130 +[2025-02-27 07:24:59,232 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 3/130 +[2025-02-27 07:24:59,272 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 4/130 +[2025-02-27 07:24:59,315 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 5/130 +[2025-02-27 07:24:59,360 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 6/130 +[2025-02-27 07:24:59,402 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 7/130 +[2025-02-27 07:24:59,444 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 8/130 +[2025-02-27 07:24:59,485 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 9/130 +[2025-02-27 07:24:59,528 INFO 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+[2025-02-27 07:25:04,541 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 123/130 +[2025-02-27 07:25:04,579 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 124/130 +[2025-02-27 07:25:04,616 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 125/130 +[2025-02-27 07:25:04,654 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 126/130 +[2025-02-27 07:25:04,691 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 127/130 +[2025-02-27 07:25:04,728 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 128/130 +[2025-02-27 07:25:04,766 INFO test.py line 201 1688082] Test: 11/78-scene0030_00, Batch: 129/130 +[2025-02-27 07:25:04,989 INFO test.py line 289 1688082] Test: scene0030_00 [11/78]-293811 Batch 5.931 (4.615) Accuracy 0.9082 (0.7443) mIoU 0.4763 (0.6608) +[2025-02-27 07:25:05,016 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 0/143 +[2025-02-27 07:25:05,041 INFO test.py line 201 1688082] 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line 201 1688082] Test: 12/78-scene0088_01, Batch: 104/143 +[2025-02-27 07:25:07,686 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 105/143 +[2025-02-27 07:25:07,720 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 106/143 +[2025-02-27 07:25:07,759 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 107/143 +[2025-02-27 07:25:07,793 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 108/143 +[2025-02-27 07:25:07,821 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 109/143 +[2025-02-27 07:25:07,849 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 110/143 +[2025-02-27 07:25:07,877 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 111/143 +[2025-02-27 07:25:07,904 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 112/143 +[2025-02-27 07:25:07,932 INFO test.py line 201 1688082] Test: 12/78-scene0088_01, Batch: 113/143 +[2025-02-27 07:25:07,960 INFO test.py line 201 1688082] 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201 1688082] Test: 13/78-scene0690_01, Batch: 0/134 +[2025-02-27 07:25:08,942 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 1/134 +[2025-02-27 07:25:08,972 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 2/134 +[2025-02-27 07:25:09,002 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 3/134 +[2025-02-27 07:25:09,034 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 4/134 +[2025-02-27 07:25:09,062 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 5/134 +[2025-02-27 07:25:09,091 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 6/134 +[2025-02-27 07:25:09,120 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 7/134 +[2025-02-27 07:25:09,150 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 8/134 +[2025-02-27 07:25:09,179 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 9/134 +[2025-02-27 07:25:09,205 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, 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07:25:11,886 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 103/134 +[2025-02-27 07:25:11,918 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 104/134 +[2025-02-27 07:25:11,952 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 105/134 +[2025-02-27 07:25:11,999 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 106/134 +[2025-02-27 07:25:12,033 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 107/134 +[2025-02-27 07:25:12,070 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 108/134 +[2025-02-27 07:25:12,097 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 109/134 +[2025-02-27 07:25:12,126 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 110/134 +[2025-02-27 07:25:12,156 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 111/134 +[2025-02-27 07:25:12,183 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 112/134 +[2025-02-27 07:25:12,209 INFO 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1688082] Test: 13/78-scene0690_01, Batch: 123/134 +[2025-02-27 07:25:12,508 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 124/134 +[2025-02-27 07:25:12,542 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 125/134 +[2025-02-27 07:25:12,574 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 126/134 +[2025-02-27 07:25:12,605 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 127/134 +[2025-02-27 07:25:12,641 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 128/134 +[2025-02-27 07:25:12,665 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 129/134 +[2025-02-27 07:25:12,699 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 130/134 +[2025-02-27 07:25:12,725 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 131/134 +[2025-02-27 07:25:12,760 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 132/134 +[2025-02-27 07:25:12,786 INFO test.py line 201 1688082] Test: 13/78-scene0690_01, Batch: 133/134 +[2025-02-27 07:25:12,917 INFO test.py line 289 1688082] Test: scene0690_01 [13/78]-109935 Batch 4.033 (4.515) Accuracy 0.6553 (0.7302) mIoU 0.3501 (0.6379) +[2025-02-27 07:25:12,954 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 0/126 +[2025-02-27 07:25:12,984 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 1/126 +[2025-02-27 07:25:13,015 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 2/126 +[2025-02-27 07:25:13,045 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 3/126 +[2025-02-27 07:25:13,076 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 4/126 +[2025-02-27 07:25:13,106 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 5/126 +[2025-02-27 07:25:13,137 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 6/126 +[2025-02-27 07:25:13,167 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 7/126 +[2025-02-27 07:25:13,196 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 8/126 +[2025-02-27 07:25:13,224 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 9/126 +[2025-02-27 07:25:13,252 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 10/126 +[2025-02-27 07:25:13,282 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 11/126 +[2025-02-27 07:25:13,310 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 12/126 +[2025-02-27 07:25:13,339 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 13/126 +[2025-02-27 07:25:13,369 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 14/126 +[2025-02-27 07:25:13,400 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 15/126 +[2025-02-27 07:25:13,432 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 16/126 +[2025-02-27 07:25:13,463 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 17/126 +[2025-02-27 07:25:13,494 INFO test.py line 201 1688082] Test: 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Batch: 110/126 +[2025-02-27 07:25:16,354 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 111/126 +[2025-02-27 07:25:16,386 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 112/126 +[2025-02-27 07:25:16,418 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 113/126 +[2025-02-27 07:25:16,449 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 114/126 +[2025-02-27 07:25:16,481 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 115/126 +[2025-02-27 07:25:16,512 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 116/126 +[2025-02-27 07:25:16,543 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 117/126 +[2025-02-27 07:25:16,573 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 118/126 +[2025-02-27 07:25:16,602 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 119/126 +[2025-02-27 07:25:16,630 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 120/126 +[2025-02-27 07:25:16,659 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 121/126 +[2025-02-27 07:25:16,687 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 122/126 +[2025-02-27 07:25:16,714 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 123/126 +[2025-02-27 07:25:16,741 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 124/126 +[2025-02-27 07:25:16,769 INFO test.py line 201 1688082] Test: 14/78-scene0598_00, Batch: 125/126 +[2025-02-27 07:25:16,929 INFO test.py line 289 1688082] Test: scene0598_00 [14/78]-145562 Batch 4.012 (4.479) Accuracy 0.6877 (0.7225) mIoU 0.2677 (0.6302) +[2025-02-27 07:25:16,964 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 0/138 +[2025-02-27 07:25:16,993 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 1/138 +[2025-02-27 07:25:17,021 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 2/138 +[2025-02-27 07:25:17,051 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:25:17,388 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 14/138 +[2025-02-27 07:25:17,425 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 15/138 +[2025-02-27 07:25:17,455 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 16/138 +[2025-02-27 07:25:17,484 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 17/138 +[2025-02-27 07:25:17,517 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 18/138 +[2025-02-27 07:25:17,547 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 19/138 +[2025-02-27 07:25:17,579 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 20/138 +[2025-02-27 07:25:17,606 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 21/138 +[2025-02-27 07:25:17,632 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 22/138 +[2025-02-27 07:25:17,668 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 23/138 +[2025-02-27 07:25:17,697 INFO 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Batch: 136/138 +[2025-02-27 07:25:28,767 INFO test.py line 201 1688082] Test: 15/78-scene0695_00, Batch: 137/138 +[2025-02-27 07:25:29,047 INFO test.py line 289 1688082] Test: scene0695_00 [15/78]-133418 Batch 12.113 (4.988) Accuracy 0.8018 (0.7410) mIoU 0.4318 (0.6457) +[2025-02-27 07:25:29,152 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 0/122 +[2025-02-27 07:25:29,268 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 1/122 +[2025-02-27 07:25:29,384 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 2/122 +[2025-02-27 07:25:29,534 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 3/122 +[2025-02-27 07:25:29,651 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 4/122 +[2025-02-27 07:25:29,756 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 5/122 +[2025-02-27 07:25:29,867 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 6/122 +[2025-02-27 07:25:29,985 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 7/122 +[2025-02-27 07:25:30,121 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 8/122 +[2025-02-27 07:25:30,208 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 9/122 +[2025-02-27 07:25:30,292 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 10/122 +[2025-02-27 07:25:30,373 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 11/122 +[2025-02-27 07:25:30,464 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 12/122 +[2025-02-27 07:25:30,555 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 13/122 +[2025-02-27 07:25:30,689 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 14/122 +[2025-02-27 07:25:30,775 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 15/122 +[2025-02-27 07:25:30,888 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 16/122 +[2025-02-27 07:25:30,988 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 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07:25:36,554 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 110/122 +[2025-02-27 07:25:36,575 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 111/122 +[2025-02-27 07:25:36,593 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 112/122 +[2025-02-27 07:25:36,615 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 113/122 +[2025-02-27 07:25:36,636 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 114/122 +[2025-02-27 07:25:36,657 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 115/122 +[2025-02-27 07:25:36,677 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 116/122 +[2025-02-27 07:25:36,703 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 117/122 +[2025-02-27 07:25:36,727 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 118/122 +[2025-02-27 07:25:36,752 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 119/122 +[2025-02-27 07:25:36,786 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 120/122 +[2025-02-27 07:25:36,814 INFO test.py line 201 1688082] Test: 16/78-scene0342_00, Batch: 121/122 +[2025-02-27 07:25:36,901 INFO test.py line 289 1688082] Test: scene0342_00 [16/78]-89958 Batch 7.853 (5.167) Accuracy 0.9852 (0.7418) mIoU 0.3880 (0.6467) +[2025-02-27 07:25:36,941 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 0/152 +[2025-02-27 07:25:36,973 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 1/152 +[2025-02-27 07:25:37,006 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 2/152 +[2025-02-27 07:25:37,038 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 3/152 +[2025-02-27 07:25:37,070 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 4/152 +[2025-02-27 07:25:37,101 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 5/152 +[2025-02-27 07:25:37,134 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 6/152 +[2025-02-27 07:25:37,165 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 7/152 +[2025-02-27 07:25:37,198 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 8/152 +[2025-02-27 07:25:37,230 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 9/152 +[2025-02-27 07:25:37,263 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 10/152 +[2025-02-27 07:25:37,296 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 11/152 +[2025-02-27 07:25:37,331 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 12/152 +[2025-02-27 07:25:37,363 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 13/152 +[2025-02-27 07:25:37,396 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 14/152 +[2025-02-27 07:25:37,429 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 15/152 +[2025-02-27 07:25:37,461 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 16/152 +[2025-02-27 07:25:37,492 INFO 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+[2025-02-27 07:25:43,628 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 130/152 +[2025-02-27 07:25:43,895 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 131/152 +[2025-02-27 07:25:44,077 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 132/152 +[2025-02-27 07:25:44,269 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 133/152 +[2025-02-27 07:25:44,603 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 134/152 +[2025-02-27 07:25:44,876 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 135/152 +[2025-02-27 07:25:45,037 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 136/152 +[2025-02-27 07:25:45,283 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 137/152 +[2025-02-27 07:25:45,507 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 138/152 +[2025-02-27 07:25:45,717 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 139/152 +[2025-02-27 07:25:45,903 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 140/152 +[2025-02-27 07:25:46,073 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 141/152 +[2025-02-27 07:25:46,221 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 142/152 +[2025-02-27 07:25:46,349 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 143/152 +[2025-02-27 07:25:46,446 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 144/152 +[2025-02-27 07:25:46,545 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 145/152 +[2025-02-27 07:25:46,649 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 146/152 +[2025-02-27 07:25:46,753 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 147/152 +[2025-02-27 07:25:46,864 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 148/152 +[2025-02-27 07:25:46,974 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 149/152 +[2025-02-27 07:25:47,075 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 150/152 +[2025-02-27 07:25:47,183 INFO test.py line 201 1688082] Test: 17/78-scene0618_00, Batch: 151/152 +[2025-02-27 07:25:47,640 INFO test.py line 289 1688082] Test: scene0618_00 [17/78]-232740 Batch 10.738 (5.495) Accuracy 0.9071 (0.7419) mIoU 0.3411 (0.6499) +[2025-02-27 07:25:47,765 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 0/139 +[2025-02-27 07:25:47,847 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 1/139 +[2025-02-27 07:25:47,953 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 2/139 +[2025-02-27 07:25:48,021 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 3/139 +[2025-02-27 07:25:48,119 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 4/139 +[2025-02-27 07:25:48,233 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 5/139 +[2025-02-27 07:25:48,325 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 6/139 +[2025-02-27 07:25:48,406 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 7/139 +[2025-02-27 07:25:48,511 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 8/139 +[2025-02-27 07:25:48,623 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 9/139 +[2025-02-27 07:25:48,716 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 10/139 +[2025-02-27 07:25:48,800 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 11/139 +[2025-02-27 07:25:48,865 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 12/139 +[2025-02-27 07:25:48,944 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 13/139 +[2025-02-27 07:25:49,014 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 14/139 +[2025-02-27 07:25:49,046 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 15/139 +[2025-02-27 07:25:49,074 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 16/139 +[2025-02-27 07:25:49,141 INFO 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Batch: 119/139 +[2025-02-27 07:25:52,384 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 120/139 +[2025-02-27 07:25:52,413 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 121/139 +[2025-02-27 07:25:52,442 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 122/139 +[2025-02-27 07:25:52,470 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 123/139 +[2025-02-27 07:25:52,498 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 124/139 +[2025-02-27 07:25:52,527 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 125/139 +[2025-02-27 07:25:52,554 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 126/139 +[2025-02-27 07:25:52,582 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 127/139 +[2025-02-27 07:25:52,609 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 128/139 +[2025-02-27 07:25:52,638 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 129/139 +[2025-02-27 07:25:52,664 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 130/139 +[2025-02-27 07:25:52,690 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 131/139 +[2025-02-27 07:25:52,718 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 132/139 +[2025-02-27 07:25:52,748 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 133/139 +[2025-02-27 07:25:52,774 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 134/139 +[2025-02-27 07:25:52,801 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 135/139 +[2025-02-27 07:25:52,827 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 136/139 +[2025-02-27 07:25:52,854 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 137/139 +[2025-02-27 07:25:52,881 INFO test.py line 201 1688082] Test: 18/78-scene0695_02, Batch: 138/139 +[2025-02-27 07:25:53,026 INFO test.py line 289 1688082] Test: scene0695_02 [18/78]-157025 Batch 5.384 (5.489) Accuracy 0.8909 (0.7492) mIoU 0.3815 (0.6558) +[2025-02-27 07:25:53,072 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 0/156 +[2025-02-27 07:25:53,121 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 1/156 +[2025-02-27 07:25:53,157 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 2/156 +[2025-02-27 07:25:53,194 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 3/156 +[2025-02-27 07:25:53,232 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 4/156 +[2025-02-27 07:25:53,284 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 5/156 +[2025-02-27 07:25:53,321 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 6/156 +[2025-02-27 07:25:53,393 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 7/156 +[2025-02-27 07:25:53,437 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 8/156 +[2025-02-27 07:25:53,483 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 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07:25:53,926 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 20/156 +[2025-02-27 07:25:53,963 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 21/156 +[2025-02-27 07:25:54,001 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 22/156 +[2025-02-27 07:25:54,038 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 23/156 +[2025-02-27 07:25:54,076 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 24/156 +[2025-02-27 07:25:54,112 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 25/156 +[2025-02-27 07:25:54,149 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 26/156 +[2025-02-27 07:25:54,190 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 27/156 +[2025-02-27 07:25:54,229 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 28/156 +[2025-02-27 07:25:54,292 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 29/156 +[2025-02-27 07:25:54,329 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 30/156 +[2025-02-27 07:25:54,367 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 31/156 +[2025-02-27 07:25:54,405 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 32/156 +[2025-02-27 07:25:54,447 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 33/156 +[2025-02-27 07:25:54,489 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 34/156 +[2025-02-27 07:25:54,527 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 35/156 +[2025-02-27 07:25:54,563 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 36/156 +[2025-02-27 07:25:54,598 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 37/156 +[2025-02-27 07:25:54,634 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 38/156 +[2025-02-27 07:25:54,669 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 39/156 +[2025-02-27 07:25:54,708 INFO test.py line 201 1688082] Test: 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07:25:55,557 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 61/156 +[2025-02-27 07:25:55,591 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 62/156 +[2025-02-27 07:25:55,628 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 63/156 +[2025-02-27 07:25:55,663 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 64/156 +[2025-02-27 07:25:55,697 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 65/156 +[2025-02-27 07:25:55,733 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 66/156 +[2025-02-27 07:25:55,770 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 67/156 +[2025-02-27 07:25:55,804 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 68/156 +[2025-02-27 07:25:55,837 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 69/156 +[2025-02-27 07:25:55,872 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 70/156 +[2025-02-27 07:25:55,907 INFO test.py line 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07:25:57,004 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 102/156 +[2025-02-27 07:25:57,043 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 103/156 +[2025-02-27 07:25:57,094 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 104/156 +[2025-02-27 07:25:57,140 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 105/156 +[2025-02-27 07:25:57,181 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 106/156 +[2025-02-27 07:25:57,221 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 107/156 +[2025-02-27 07:25:57,267 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 108/156 +[2025-02-27 07:25:57,307 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 109/156 +[2025-02-27 07:25:57,347 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 110/156 +[2025-02-27 07:25:57,389 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 111/156 +[2025-02-27 07:25:57,439 INFO 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Batch: 142/156 +[2025-02-27 07:25:58,779 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 143/156 +[2025-02-27 07:25:58,818 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 144/156 +[2025-02-27 07:25:58,856 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 145/156 +[2025-02-27 07:25:58,895 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 146/156 +[2025-02-27 07:25:58,935 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 147/156 +[2025-02-27 07:25:58,974 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 148/156 +[2025-02-27 07:25:59,011 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 149/156 +[2025-02-27 07:25:59,050 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 150/156 +[2025-02-27 07:25:59,091 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 151/156 +[2025-02-27 07:25:59,133 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 152/156 +[2025-02-27 07:25:59,198 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 153/156 +[2025-02-27 07:25:59,238 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 154/156 +[2025-02-27 07:25:59,276 INFO test.py line 201 1688082] Test: 19/78-scene0629_00, Batch: 155/156 +[2025-02-27 07:25:59,599 INFO test.py line 289 1688082] Test: scene0629_00 [19/78]-255083 Batch 6.572 (5.546) Accuracy 0.8198 (0.7471) mIoU 0.2247 (0.6397) +[2025-02-27 07:25:59,642 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 0/125 +[2025-02-27 07:25:59,670 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 1/125 +[2025-02-27 07:25:59,698 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 2/125 +[2025-02-27 07:25:59,726 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 3/125 +[2025-02-27 07:25:59,754 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 4/125 +[2025-02-27 07:25:59,780 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:26:00,121 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 16/125 +[2025-02-27 07:26:00,148 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 17/125 +[2025-02-27 07:26:00,177 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 18/125 +[2025-02-27 07:26:00,206 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 19/125 +[2025-02-27 07:26:00,234 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 20/125 +[2025-02-27 07:26:00,261 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 21/125 +[2025-02-27 07:26:00,291 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 22/125 +[2025-02-27 07:26:00,319 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 23/125 +[2025-02-27 07:26:00,345 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 24/125 +[2025-02-27 07:26:00,374 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 25/125 +[2025-02-27 07:26:00,401 INFO 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07:26:01,336 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 57/125 +[2025-02-27 07:26:01,364 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 58/125 +[2025-02-27 07:26:01,398 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 59/125 +[2025-02-27 07:26:01,436 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 60/125 +[2025-02-27 07:26:01,472 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 61/125 +[2025-02-27 07:26:01,505 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 62/125 +[2025-02-27 07:26:01,536 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 63/125 +[2025-02-27 07:26:01,563 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 64/125 +[2025-02-27 07:26:01,593 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 65/125 +[2025-02-27 07:26:01,620 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 66/125 +[2025-02-27 07:26:01,650 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 67/125 +[2025-02-27 07:26:01,683 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 68/125 +[2025-02-27 07:26:01,726 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 69/125 +[2025-02-27 07:26:01,775 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 70/125 +[2025-02-27 07:26:01,813 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 71/125 +[2025-02-27 07:26:01,847 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 72/125 +[2025-02-27 07:26:01,883 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 73/125 +[2025-02-27 07:26:01,919 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 74/125 +[2025-02-27 07:26:01,954 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 75/125 +[2025-02-27 07:26:01,992 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 76/125 +[2025-02-27 07:26:02,029 INFO test.py line 201 1688082] Test: 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07:26:02,806 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 98/125 +[2025-02-27 07:26:02,835 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 99/125 +[2025-02-27 07:26:02,864 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 100/125 +[2025-02-27 07:26:02,912 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 101/125 +[2025-02-27 07:26:02,943 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 102/125 +[2025-02-27 07:26:02,977 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 103/125 +[2025-02-27 07:26:03,007 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 104/125 +[2025-02-27 07:26:03,036 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 105/125 +[2025-02-27 07:26:03,065 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 106/125 +[2025-02-27 07:26:03,092 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 107/125 +[2025-02-27 07:26:03,119 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 108/125 +[2025-02-27 07:26:03,147 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 109/125 +[2025-02-27 07:26:03,185 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 110/125 +[2025-02-27 07:26:03,215 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 111/125 +[2025-02-27 07:26:03,242 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 112/125 +[2025-02-27 07:26:03,269 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 113/125 +[2025-02-27 07:26:03,299 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 114/125 +[2025-02-27 07:26:03,327 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 115/125 +[2025-02-27 07:26:03,365 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 116/125 +[2025-02-27 07:26:03,391 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 117/125 +[2025-02-27 07:26:03,417 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 118/125 +[2025-02-27 07:26:03,445 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 119/125 +[2025-02-27 07:26:03,470 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 120/125 +[2025-02-27 07:26:03,502 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 121/125 +[2025-02-27 07:26:03,531 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 122/125 +[2025-02-27 07:26:03,559 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 123/125 +[2025-02-27 07:26:03,585 INFO test.py line 201 1688082] Test: 20/78-scene0609_01, Batch: 124/125 +[2025-02-27 07:26:03,711 INFO test.py line 289 1688082] Test: scene0609_01 [20/78]-115550 Batch 4.112 (5.474) Accuracy 0.8178 (0.7392) mIoU 0.2251 (0.6278) +[2025-02-27 07:26:03,752 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 0/130 +[2025-02-27 07:26:03,786 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 1/130 +[2025-02-27 07:26:03,820 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 2/130 +[2025-02-27 07:26:03,854 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 3/130 +[2025-02-27 07:26:03,888 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 4/130 +[2025-02-27 07:26:03,927 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 5/130 +[2025-02-27 07:26:03,964 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 6/130 +[2025-02-27 07:26:04,005 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 7/130 +[2025-02-27 07:26:04,059 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 8/130 +[2025-02-27 07:26:04,099 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 9/130 +[2025-02-27 07:26:04,139 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 10/130 +[2025-02-27 07:26:04,198 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 11/130 +[2025-02-27 07:26:04,243 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 12/130 +[2025-02-27 07:26:04,285 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 13/130 +[2025-02-27 07:26:04,326 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 14/130 +[2025-02-27 07:26:04,366 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 15/130 +[2025-02-27 07:26:04,418 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 16/130 +[2025-02-27 07:26:04,459 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 17/130 +[2025-02-27 07:26:04,500 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 18/130 +[2025-02-27 07:26:04,546 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 19/130 +[2025-02-27 07:26:04,585 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 20/130 +[2025-02-27 07:26:04,641 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 21/130 +[2025-02-27 07:26:04,676 INFO test.py line 201 1688082] Test: 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07:26:05,451 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 43/130 +[2025-02-27 07:26:05,485 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 44/130 +[2025-02-27 07:26:05,520 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 45/130 +[2025-02-27 07:26:05,555 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 46/130 +[2025-02-27 07:26:05,596 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 47/130 +[2025-02-27 07:26:05,630 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 48/130 +[2025-02-27 07:26:05,663 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 49/130 +[2025-02-27 07:26:05,697 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 50/130 +[2025-02-27 07:26:05,731 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 51/130 +[2025-02-27 07:26:05,765 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 52/130 +[2025-02-27 07:26:05,799 INFO test.py line 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07:26:07,131 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 84/130 +[2025-02-27 07:26:07,168 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 85/130 +[2025-02-27 07:26:07,204 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 86/130 +[2025-02-27 07:26:07,240 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 87/130 +[2025-02-27 07:26:07,277 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 88/130 +[2025-02-27 07:26:07,334 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 89/130 +[2025-02-27 07:26:07,390 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 90/130 +[2025-02-27 07:26:07,427 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 91/130 +[2025-02-27 07:26:07,462 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 92/130 +[2025-02-27 07:26:07,514 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 93/130 +[2025-02-27 07:26:07,583 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 94/130 +[2025-02-27 07:26:07,621 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 95/130 +[2025-02-27 07:26:07,656 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 96/130 +[2025-02-27 07:26:07,717 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 97/130 +[2025-02-27 07:26:07,755 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 98/130 +[2025-02-27 07:26:07,792 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 99/130 +[2025-02-27 07:26:07,829 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 100/130 +[2025-02-27 07:26:07,865 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 101/130 +[2025-02-27 07:26:07,901 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 102/130 +[2025-02-27 07:26:07,938 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 103/130 +[2025-02-27 07:26:07,974 INFO test.py line 201 1688082] Test: 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Batch: 114/130 +[2025-02-27 07:26:08,375 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 115/130 +[2025-02-27 07:26:08,411 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 116/130 +[2025-02-27 07:26:08,447 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 117/130 +[2025-02-27 07:26:08,485 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 118/130 +[2025-02-27 07:26:08,520 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 119/130 +[2025-02-27 07:26:08,555 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 120/130 +[2025-02-27 07:26:08,591 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 121/130 +[2025-02-27 07:26:08,627 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 122/130 +[2025-02-27 07:26:08,668 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 123/130 +[2025-02-27 07:26:08,702 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 124/130 +[2025-02-27 07:26:08,737 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 125/130 +[2025-02-27 07:26:08,819 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 126/130 +[2025-02-27 07:26:08,865 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 127/130 +[2025-02-27 07:26:08,919 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 128/130 +[2025-02-27 07:26:08,965 INFO test.py line 201 1688082] Test: 21/78-scene0430_00, Batch: 129/130 +[2025-02-27 07:26:09,326 INFO test.py line 289 1688082] Test: scene0430_00 [21/78]-210249 Batch 5.615 (5.481) Accuracy 0.9515 (0.7416) mIoU 0.6449 (0.6306) +[2025-02-27 07:26:09,370 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 0/125 +[2025-02-27 07:26:09,407 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 1/125 +[2025-02-27 07:26:09,445 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 2/125 +[2025-02-27 07:26:09,485 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 3/125 +[2025-02-27 07:26:09,523 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 4/125 +[2025-02-27 07:26:09,560 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 5/125 +[2025-02-27 07:26:09,598 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 6/125 +[2025-02-27 07:26:09,640 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 7/125 +[2025-02-27 07:26:09,679 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 8/125 +[2025-02-27 07:26:09,717 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 9/125 +[2025-02-27 07:26:09,758 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 10/125 +[2025-02-27 07:26:09,796 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 11/125 +[2025-02-27 07:26:09,834 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 12/125 +[2025-02-27 07:26:09,871 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 13/125 +[2025-02-27 07:26:09,911 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 14/125 +[2025-02-27 07:26:09,951 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 15/125 +[2025-02-27 07:26:09,993 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 16/125 +[2025-02-27 07:26:10,034 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 17/125 +[2025-02-27 07:26:10,072 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 18/125 +[2025-02-27 07:26:10,109 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 19/125 +[2025-02-27 07:26:10,148 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 20/125 +[2025-02-27 07:26:10,186 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 21/125 +[2025-02-27 07:26:10,225 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 22/125 +[2025-02-27 07:26:10,268 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 23/125 +[2025-02-27 07:26:10,307 INFO 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1688082] Test: 22/78-scene0608_02, Batch: 116/125 +[2025-02-27 07:26:14,605 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 117/125 +[2025-02-27 07:26:14,655 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 118/125 +[2025-02-27 07:26:14,695 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 119/125 +[2025-02-27 07:26:14,737 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 120/125 +[2025-02-27 07:26:14,775 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 121/125 +[2025-02-27 07:26:14,814 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 122/125 +[2025-02-27 07:26:14,854 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 123/125 +[2025-02-27 07:26:14,892 INFO test.py line 201 1688082] Test: 22/78-scene0608_02, Batch: 124/125 +[2025-02-27 07:26:15,227 INFO test.py line 289 1688082] Test: scene0608_02 [22/78]-235030 Batch 5.901 (5.500) Accuracy 0.7751 (0.7401) mIoU 0.3179 (0.6292) +[2025-02-27 07:26:15,263 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 0/125 +[2025-02-27 07:26:15,293 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 1/125 +[2025-02-27 07:26:15,321 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 2/125 +[2025-02-27 07:26:15,352 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 3/125 +[2025-02-27 07:26:15,390 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 4/125 +[2025-02-27 07:26:15,431 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 5/125 +[2025-02-27 07:26:15,474 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 6/125 +[2025-02-27 07:26:15,525 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 7/125 +[2025-02-27 07:26:15,554 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 8/125 +[2025-02-27 07:26:15,592 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 9/125 +[2025-02-27 07:26:15,628 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 10/125 +[2025-02-27 07:26:15,669 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 11/125 +[2025-02-27 07:26:15,706 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 12/125 +[2025-02-27 07:26:15,741 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 13/125 +[2025-02-27 07:26:15,777 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 14/125 +[2025-02-27 07:26:15,815 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 15/125 +[2025-02-27 07:26:15,852 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 16/125 +[2025-02-27 07:26:15,890 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 17/125 +[2025-02-27 07:26:15,932 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 18/125 +[2025-02-27 07:26:15,970 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 19/125 +[2025-02-27 07:26:16,008 INFO test.py line 201 1688082] Test: 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Batch: 112/125 +[2025-02-27 07:26:19,910 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 113/125 +[2025-02-27 07:26:19,950 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 114/125 +[2025-02-27 07:26:19,998 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 115/125 +[2025-02-27 07:26:20,061 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 116/125 +[2025-02-27 07:26:20,101 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 117/125 +[2025-02-27 07:26:20,138 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 118/125 +[2025-02-27 07:26:20,208 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 119/125 +[2025-02-27 07:26:20,284 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 120/125 +[2025-02-27 07:26:20,352 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 121/125 +[2025-02-27 07:26:20,395 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 122/125 +[2025-02-27 07:26:20,446 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 123/125 +[2025-02-27 07:26:20,484 INFO test.py line 201 1688082] Test: 23/78-scene0144_01, Batch: 124/125 +[2025-02-27 07:26:20,628 INFO test.py line 289 1688082] Test: scene0144_01 [23/78]-116341 Batch 5.400 (5.495) Accuracy 0.8729 (0.7410) mIoU 0.3448 (0.6315) +[2025-02-27 07:26:20,666 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 0/145 +[2025-02-27 07:26:20,692 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 1/145 +[2025-02-27 07:26:20,741 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 2/145 +[2025-02-27 07:26:20,768 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 3/145 +[2025-02-27 07:26:20,797 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 4/145 +[2025-02-27 07:26:20,832 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 5/145 +[2025-02-27 07:26:20,865 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:26:21,246 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 17/145 +[2025-02-27 07:26:21,273 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 18/145 +[2025-02-27 07:26:21,305 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 19/145 +[2025-02-27 07:26:21,339 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 20/145 +[2025-02-27 07:26:21,366 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 21/145 +[2025-02-27 07:26:21,396 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 22/145 +[2025-02-27 07:26:21,425 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 23/145 +[2025-02-27 07:26:21,456 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 24/145 +[2025-02-27 07:26:21,483 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 25/145 +[2025-02-27 07:26:21,509 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 26/145 +[2025-02-27 07:26:21,539 INFO 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Batch: 139/145 +[2025-02-27 07:26:25,255 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 140/145 +[2025-02-27 07:26:25,281 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 141/145 +[2025-02-27 07:26:25,309 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 142/145 +[2025-02-27 07:26:25,335 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 143/145 +[2025-02-27 07:26:25,362 INFO test.py line 201 1688082] Test: 24/78-scene0382_00, Batch: 144/145 +[2025-02-27 07:26:25,481 INFO test.py line 289 1688082] Test: scene0382_00 [24/78]-100285 Batch 4.852 (5.469) Accuracy 0.8704 (0.7403) mIoU 0.4587 (0.6303) +[2025-02-27 07:26:25,511 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 0/121 +[2025-02-27 07:26:25,542 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 1/121 +[2025-02-27 07:26:25,568 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 2/121 +[2025-02-27 07:26:25,595 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 3/121 +[2025-02-27 07:26:25,622 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 4/121 +[2025-02-27 07:26:25,649 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 5/121 +[2025-02-27 07:26:25,675 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 6/121 +[2025-02-27 07:26:25,703 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 7/121 +[2025-02-27 07:26:25,730 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 8/121 +[2025-02-27 07:26:25,758 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 9/121 +[2025-02-27 07:26:25,791 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 10/121 +[2025-02-27 07:26:25,829 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 11/121 +[2025-02-27 07:26:25,854 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 12/121 +[2025-02-27 07:26:25,880 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, 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07:26:28,879 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 106/121 +[2025-02-27 07:26:28,904 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 107/121 +[2025-02-27 07:26:28,928 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 108/121 +[2025-02-27 07:26:28,955 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 109/121 +[2025-02-27 07:26:28,979 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 110/121 +[2025-02-27 07:26:29,010 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 111/121 +[2025-02-27 07:26:29,042 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 112/121 +[2025-02-27 07:26:29,078 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 113/121 +[2025-02-27 07:26:29,118 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 114/121 +[2025-02-27 07:26:29,167 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 115/121 +[2025-02-27 07:26:29,205 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 116/121 +[2025-02-27 07:26:29,237 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 117/121 +[2025-02-27 07:26:29,272 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 118/121 +[2025-02-27 07:26:29,315 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 119/121 +[2025-02-27 07:26:29,369 INFO test.py line 201 1688082] Test: 25/78-scene0077_00, Batch: 120/121 +[2025-02-27 07:26:29,554 INFO test.py line 289 1688082] Test: scene0077_00 [25/78]-92807 Batch 4.073 (5.413) Accuracy 0.8173 (0.7404) mIoU 0.3635 (0.6314) +[2025-02-27 07:26:29,590 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 0/159 +[2025-02-27 07:26:29,622 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 1/159 +[2025-02-27 07:26:29,657 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 2/159 +[2025-02-27 07:26:29,687 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 3/159 +[2025-02-27 07:26:29,715 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 4/159 +[2025-02-27 07:26:29,742 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 5/159 +[2025-02-27 07:26:29,768 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 6/159 +[2025-02-27 07:26:29,796 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 7/159 +[2025-02-27 07:26:29,824 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 8/159 +[2025-02-27 07:26:29,855 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 9/159 +[2025-02-27 07:26:29,882 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 10/159 +[2025-02-27 07:26:29,911 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 11/159 +[2025-02-27 07:26:29,939 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 12/159 +[2025-02-27 07:26:29,982 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 13/159 +[2025-02-27 07:26:30,015 INFO 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07:26:30,971 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 45/159 +[2025-02-27 07:26:30,996 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 46/159 +[2025-02-27 07:26:31,023 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 47/159 +[2025-02-27 07:26:31,051 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 48/159 +[2025-02-27 07:26:31,079 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 49/159 +[2025-02-27 07:26:31,113 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 50/159 +[2025-02-27 07:26:31,140 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 51/159 +[2025-02-27 07:26:31,167 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 52/159 +[2025-02-27 07:26:31,194 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 53/159 +[2025-02-27 07:26:31,220 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 54/159 +[2025-02-27 07:26:31,246 INFO test.py line 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07:26:32,227 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 86/159 +[2025-02-27 07:26:32,279 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 87/159 +[2025-02-27 07:26:32,325 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 88/159 +[2025-02-27 07:26:32,371 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 89/159 +[2025-02-27 07:26:32,418 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 90/159 +[2025-02-27 07:26:32,462 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 91/159 +[2025-02-27 07:26:32,527 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 92/159 +[2025-02-27 07:26:32,576 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 93/159 +[2025-02-27 07:26:32,611 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 94/159 +[2025-02-27 07:26:32,646 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 95/159 +[2025-02-27 07:26:32,676 INFO test.py line 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+[2025-02-27 07:26:33,740 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 127/159 +[2025-02-27 07:26:33,768 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 128/159 +[2025-02-27 07:26:33,793 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 129/159 +[2025-02-27 07:26:33,820 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 130/159 +[2025-02-27 07:26:33,846 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 131/159 +[2025-02-27 07:26:33,872 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 132/159 +[2025-02-27 07:26:33,898 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 133/159 +[2025-02-27 07:26:33,925 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 134/159 +[2025-02-27 07:26:33,960 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 135/159 +[2025-02-27 07:26:33,985 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 136/159 +[2025-02-27 07:26:34,011 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 137/159 +[2025-02-27 07:26:34,036 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 138/159 +[2025-02-27 07:26:34,063 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 139/159 +[2025-02-27 07:26:34,090 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 140/159 +[2025-02-27 07:26:34,115 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 141/159 +[2025-02-27 07:26:34,153 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 142/159 +[2025-02-27 07:26:34,180 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 143/159 +[2025-02-27 07:26:34,207 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 144/159 +[2025-02-27 07:26:34,234 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 145/159 +[2025-02-27 07:26:34,260 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 146/159 +[2025-02-27 07:26:34,290 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 147/159 +[2025-02-27 07:26:34,319 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 148/159 +[2025-02-27 07:26:34,345 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 149/159 +[2025-02-27 07:26:34,373 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 150/159 +[2025-02-27 07:26:34,400 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 151/159 +[2025-02-27 07:26:34,426 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 152/159 +[2025-02-27 07:26:34,455 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 153/159 +[2025-02-27 07:26:34,483 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 154/159 +[2025-02-27 07:26:34,515 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 155/159 +[2025-02-27 07:26:34,545 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 156/159 +[2025-02-27 07:26:34,571 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 157/159 +[2025-02-27 07:26:34,598 INFO test.py line 201 1688082] Test: 26/78-scene0084_00, Batch: 158/159 +[2025-02-27 07:26:34,730 INFO test.py line 289 1688082] Test: scene0084_00 [26/78]-116845 Batch 5.175 (5.404) Accuracy 0.8884 (0.7310) mIoU 0.3951 (0.6236) +[2025-02-27 07:26:34,771 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 0/121 +[2025-02-27 07:26:34,805 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 1/121 +[2025-02-27 07:26:34,838 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 2/121 +[2025-02-27 07:26:34,876 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 3/121 +[2025-02-27 07:26:34,910 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 4/121 +[2025-02-27 07:26:34,944 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 5/121 +[2025-02-27 07:26:34,983 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 6/121 +[2025-02-27 07:26:35,018 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 7/121 +[2025-02-27 07:26:35,052 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 8/121 +[2025-02-27 07:26:35,085 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 9/121 +[2025-02-27 07:26:35,120 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 10/121 +[2025-02-27 07:26:35,154 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 11/121 +[2025-02-27 07:26:35,190 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 12/121 +[2025-02-27 07:26:35,236 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 13/121 +[2025-02-27 07:26:35,269 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 14/121 +[2025-02-27 07:26:35,304 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 15/121 +[2025-02-27 07:26:35,339 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 16/121 +[2025-02-27 07:26:35,372 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 17/121 +[2025-02-27 07:26:35,412 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 18/121 +[2025-02-27 07:26:35,444 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 19/121 +[2025-02-27 07:26:35,479 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 20/121 +[2025-02-27 07:26:35,512 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 21/121 +[2025-02-27 07:26:35,557 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 22/121 +[2025-02-27 07:26:35,589 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 23/121 +[2025-02-27 07:26:35,621 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 24/121 +[2025-02-27 07:26:35,655 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 25/121 +[2025-02-27 07:26:35,692 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 26/121 +[2025-02-27 07:26:35,736 INFO test.py line 201 1688082] Test: 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07:26:36,570 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 48/121 +[2025-02-27 07:26:36,602 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 49/121 +[2025-02-27 07:26:36,643 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 50/121 +[2025-02-27 07:26:36,677 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 51/121 +[2025-02-27 07:26:36,710 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 52/121 +[2025-02-27 07:26:36,751 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 53/121 +[2025-02-27 07:26:36,800 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 54/121 +[2025-02-27 07:26:36,840 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 55/121 +[2025-02-27 07:26:36,877 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 56/121 +[2025-02-27 07:26:36,920 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 57/121 +[2025-02-27 07:26:36,963 INFO test.py line 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07:26:38,199 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 89/121 +[2025-02-27 07:26:38,263 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 90/121 +[2025-02-27 07:26:38,298 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 91/121 +[2025-02-27 07:26:38,331 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 92/121 +[2025-02-27 07:26:38,366 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 93/121 +[2025-02-27 07:26:38,400 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 94/121 +[2025-02-27 07:26:38,434 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 95/121 +[2025-02-27 07:26:38,468 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 96/121 +[2025-02-27 07:26:38,502 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 97/121 +[2025-02-27 07:26:38,536 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 98/121 +[2025-02-27 07:26:38,570 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 99/121 +[2025-02-27 07:26:38,604 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 100/121 +[2025-02-27 07:26:38,647 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 101/121 +[2025-02-27 07:26:38,682 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 102/121 +[2025-02-27 07:26:38,716 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 103/121 +[2025-02-27 07:26:38,749 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 104/121 +[2025-02-27 07:26:38,785 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 105/121 +[2025-02-27 07:26:38,819 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 106/121 +[2025-02-27 07:26:38,854 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 107/121 +[2025-02-27 07:26:38,891 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 108/121 +[2025-02-27 07:26:38,928 INFO test.py line 201 1688082] Test: 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Batch: 119/121 +[2025-02-27 07:26:39,317 INFO test.py line 201 1688082] Test: 27/78-scene0608_00, Batch: 120/121 +[2025-02-27 07:26:39,530 INFO test.py line 289 1688082] Test: scene0608_00 [27/78]-186579 Batch 4.800 (5.381) Accuracy 0.8109 (0.7292) mIoU 0.3279 (0.6243) +[2025-02-27 07:26:39,566 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 0/134 +[2025-02-27 07:26:39,608 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 1/134 +[2025-02-27 07:26:39,639 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 2/134 +[2025-02-27 07:26:39,669 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 3/134 +[2025-02-27 07:26:39,700 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 4/134 +[2025-02-27 07:26:39,730 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 5/134 +[2025-02-27 07:26:39,760 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 6/134 +[2025-02-27 07:26:39,790 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 7/134 +[2025-02-27 07:26:39,820 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 8/134 +[2025-02-27 07:26:39,850 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 9/134 +[2025-02-27 07:26:39,879 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 10/134 +[2025-02-27 07:26:39,909 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 11/134 +[2025-02-27 07:26:39,939 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 12/134 +[2025-02-27 07:26:39,968 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 13/134 +[2025-02-27 07:26:39,997 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 14/134 +[2025-02-27 07:26:40,028 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 15/134 +[2025-02-27 07:26:40,057 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 16/134 +[2025-02-27 07:26:40,085 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 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07:26:40,431 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 28/134 +[2025-02-27 07:26:40,460 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 29/134 +[2025-02-27 07:26:40,489 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 30/134 +[2025-02-27 07:26:40,517 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 31/134 +[2025-02-27 07:26:40,547 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 32/134 +[2025-02-27 07:26:40,575 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 33/134 +[2025-02-27 07:26:40,604 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 34/134 +[2025-02-27 07:26:40,632 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 35/134 +[2025-02-27 07:26:40,662 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 36/134 +[2025-02-27 07:26:40,691 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 37/134 +[2025-02-27 07:26:40,733 INFO test.py line 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07:26:43,367 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 110/134 +[2025-02-27 07:26:43,396 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 111/134 +[2025-02-27 07:26:43,425 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 112/134 +[2025-02-27 07:26:43,458 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 113/134 +[2025-02-27 07:26:43,489 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 114/134 +[2025-02-27 07:26:43,519 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 115/134 +[2025-02-27 07:26:43,548 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 116/134 +[2025-02-27 07:26:43,578 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 117/134 +[2025-02-27 07:26:43,606 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 118/134 +[2025-02-27 07:26:43,635 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 119/134 +[2025-02-27 07:26:43,665 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 120/134 +[2025-02-27 07:26:43,696 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 121/134 +[2025-02-27 07:26:43,727 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 122/134 +[2025-02-27 07:26:43,757 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 123/134 +[2025-02-27 07:26:43,786 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 124/134 +[2025-02-27 07:26:43,815 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 125/134 +[2025-02-27 07:26:43,845 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 126/134 +[2025-02-27 07:26:43,875 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 127/134 +[2025-02-27 07:26:43,905 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 128/134 +[2025-02-27 07:26:43,935 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 129/134 +[2025-02-27 07:26:43,965 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 130/134 +[2025-02-27 07:26:43,994 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 131/134 +[2025-02-27 07:26:44,024 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 132/134 +[2025-02-27 07:26:44,053 INFO test.py line 201 1688082] Test: 28/78-scene0558_01, Batch: 133/134 +[2025-02-27 07:26:44,222 INFO test.py line 289 1688082] Test: scene0558_01 [28/78]-141342 Batch 4.691 (5.357) Accuracy 0.9066 (0.7291) mIoU 0.3683 (0.6242) +[2025-02-27 07:26:44,253 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 0/125 +[2025-02-27 07:26:44,284 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 1/125 +[2025-02-27 07:26:44,317 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 2/125 +[2025-02-27 07:26:44,355 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 3/125 +[2025-02-27 07:26:44,415 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 4/125 +[2025-02-27 07:26:44,447 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 5/125 +[2025-02-27 07:26:44,512 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 6/125 +[2025-02-27 07:26:44,545 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 7/125 +[2025-02-27 07:26:44,581 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 8/125 +[2025-02-27 07:26:44,615 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 9/125 +[2025-02-27 07:26:44,647 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 10/125 +[2025-02-27 07:26:44,688 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 11/125 +[2025-02-27 07:26:44,725 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 12/125 +[2025-02-27 07:26:44,766 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 13/125 +[2025-02-27 07:26:44,807 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 14/125 +[2025-02-27 07:26:44,845 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 15/125 +[2025-02-27 07:26:44,887 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 16/125 +[2025-02-27 07:26:44,929 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 17/125 +[2025-02-27 07:26:44,968 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 18/125 +[2025-02-27 07:26:45,001 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 19/125 +[2025-02-27 07:26:45,029 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 20/125 +[2025-02-27 07:26:45,056 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 21/125 +[2025-02-27 07:26:45,082 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 22/125 +[2025-02-27 07:26:45,113 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 23/125 +[2025-02-27 07:26:45,143 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 24/125 +[2025-02-27 07:26:45,171 INFO test.py line 201 1688082] Test: 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07:26:45,777 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 46/125 +[2025-02-27 07:26:45,804 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 47/125 +[2025-02-27 07:26:45,834 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 48/125 +[2025-02-27 07:26:45,862 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 49/125 +[2025-02-27 07:26:45,891 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 50/125 +[2025-02-27 07:26:45,919 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 51/125 +[2025-02-27 07:26:45,949 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 52/125 +[2025-02-27 07:26:45,977 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 53/125 +[2025-02-27 07:26:46,005 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 54/125 +[2025-02-27 07:26:46,032 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 55/125 +[2025-02-27 07:26:46,059 INFO test.py line 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Batch: 117/125 +[2025-02-27 07:26:47,970 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 118/125 +[2025-02-27 07:26:48,000 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 119/125 +[2025-02-27 07:26:48,028 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 120/125 +[2025-02-27 07:26:48,055 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 121/125 +[2025-02-27 07:26:48,087 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 122/125 +[2025-02-27 07:26:48,124 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 123/125 +[2025-02-27 07:26:48,150 INFO test.py line 201 1688082] Test: 29/78-scene0430_01, Batch: 124/125 +[2025-02-27 07:26:48,296 INFO test.py line 289 1688082] Test: scene0430_01 [29/78]-126166 Batch 4.073 (5.312) Accuracy 0.9480 (0.7299) mIoU 0.7469 (0.6253) +[2025-02-27 07:26:48,331 INFO test.py line 201 1688082] Test: 30/78-scene0086_01, Batch: 0/144 +[2025-02-27 07:26:48,376 INFO test.py line 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[30/78]-124210 Batch 5.034 (5.303) Accuracy 0.8976 (0.7374) mIoU 0.3506 (0.6355) +[2025-02-27 07:26:54,680 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 0/138 +[2025-02-27 07:26:54,754 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 1/138 +[2025-02-27 07:26:54,833 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 2/138 +[2025-02-27 07:26:54,904 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 3/138 +[2025-02-27 07:26:54,971 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 4/138 +[2025-02-27 07:26:55,038 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 5/138 +[2025-02-27 07:26:55,108 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 6/138 +[2025-02-27 07:26:55,164 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 7/138 +[2025-02-27 07:26:55,230 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 8/138 +[2025-02-27 07:26:55,288 INFO test.py line 201 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+[2025-02-27 07:27:01,721 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 122/138 +[2025-02-27 07:27:01,779 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 123/138 +[2025-02-27 07:27:01,835 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 124/138 +[2025-02-27 07:27:01,915 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 125/138 +[2025-02-27 07:27:01,972 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 126/138 +[2025-02-27 07:27:02,029 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 127/138 +[2025-02-27 07:27:02,083 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 128/138 +[2025-02-27 07:27:02,149 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 129/138 +[2025-02-27 07:27:02,204 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 130/138 +[2025-02-27 07:27:02,257 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 131/138 +[2025-02-27 07:27:02,315 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 132/138 +[2025-02-27 07:27:02,368 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 133/138 +[2025-02-27 07:27:02,435 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 134/138 +[2025-02-27 07:27:02,488 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 135/138 +[2025-02-27 07:27:02,545 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 136/138 +[2025-02-27 07:27:02,607 INFO test.py line 201 1688082] Test: 31/78-scene0500_00, Batch: 137/138 +[2025-02-27 07:27:03,060 INFO test.py line 289 1688082] Test: scene0500_00 [31/78]-396942 Batch 8.471 (5.405) Accuracy 0.9227 (0.7379) mIoU 0.2942 (0.6369) +[2025-02-27 07:27:03,101 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 0/121 +[2025-02-27 07:27:03,135 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 1/121 +[2025-02-27 07:27:03,169 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:27:03,558 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 13/121 +[2025-02-27 07:27:03,601 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 14/121 +[2025-02-27 07:27:03,635 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 15/121 +[2025-02-27 07:27:03,669 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 16/121 +[2025-02-27 07:27:03,705 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 17/121 +[2025-02-27 07:27:03,740 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 18/121 +[2025-02-27 07:27:03,775 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 19/121 +[2025-02-27 07:27:03,808 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 20/121 +[2025-02-27 07:27:03,844 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 21/121 +[2025-02-27 07:27:03,878 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 22/121 +[2025-02-27 07:27:03,912 INFO 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Test: 32/78-scene0064_01, Batch: 33/121 +[2025-02-27 07:27:04,294 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 34/121 +[2025-02-27 07:27:04,329 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 35/121 +[2025-02-27 07:27:04,361 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 36/121 +[2025-02-27 07:27:04,393 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 37/121 +[2025-02-27 07:27:04,427 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 38/121 +[2025-02-27 07:27:04,460 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 39/121 +[2025-02-27 07:27:04,494 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 40/121 +[2025-02-27 07:27:04,528 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 41/121 +[2025-02-27 07:27:04,560 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 42/121 +[2025-02-27 07:27:04,592 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, 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07:27:04,957 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 54/121 +[2025-02-27 07:27:04,989 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 55/121 +[2025-02-27 07:27:05,020 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 56/121 +[2025-02-27 07:27:05,052 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 57/121 +[2025-02-27 07:27:05,084 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 58/121 +[2025-02-27 07:27:05,115 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 59/121 +[2025-02-27 07:27:05,147 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 60/121 +[2025-02-27 07:27:05,178 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 61/121 +[2025-02-27 07:27:05,209 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 62/121 +[2025-02-27 07:27:05,249 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 63/121 +[2025-02-27 07:27:05,281 INFO test.py line 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07:27:06,621 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 95/121 +[2025-02-27 07:27:06,656 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 96/121 +[2025-02-27 07:27:06,690 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 97/121 +[2025-02-27 07:27:06,725 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 98/121 +[2025-02-27 07:27:06,761 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 99/121 +[2025-02-27 07:27:06,797 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 100/121 +[2025-02-27 07:27:06,831 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 101/121 +[2025-02-27 07:27:06,867 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 102/121 +[2025-02-27 07:27:06,903 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 103/121 +[2025-02-27 07:27:06,938 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 104/121 +[2025-02-27 07:27:06,975 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 105/121 +[2025-02-27 07:27:07,013 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 106/121 +[2025-02-27 07:27:07,049 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 107/121 +[2025-02-27 07:27:07,083 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 108/121 +[2025-02-27 07:27:07,118 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 109/121 +[2025-02-27 07:27:07,155 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 110/121 +[2025-02-27 07:27:07,198 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 111/121 +[2025-02-27 07:27:07,235 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 112/121 +[2025-02-27 07:27:07,280 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 113/121 +[2025-02-27 07:27:07,317 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 114/121 +[2025-02-27 07:27:07,353 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 115/121 +[2025-02-27 07:27:07,411 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 116/121 +[2025-02-27 07:27:07,462 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 117/121 +[2025-02-27 07:27:07,494 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 118/121 +[2025-02-27 07:27:07,528 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 119/121 +[2025-02-27 07:27:07,562 INFO test.py line 201 1688082] Test: 32/78-scene0064_01, Batch: 120/121 +[2025-02-27 07:27:07,785 INFO test.py line 289 1688082] Test: scene0064_01 [32/78]-195252 Batch 4.725 (5.384) Accuracy 0.8791 (0.7369) mIoU 0.2292 (0.6351) +[2025-02-27 07:27:07,812 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 0/117 +[2025-02-27 07:27:07,837 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 1/117 +[2025-02-27 07:27:07,861 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 2/117 +[2025-02-27 07:27:07,886 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 3/117 +[2025-02-27 07:27:07,921 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 4/117 +[2025-02-27 07:27:07,946 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 5/117 +[2025-02-27 07:27:07,971 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 6/117 +[2025-02-27 07:27:08,006 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 7/117 +[2025-02-27 07:27:08,030 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 8/117 +[2025-02-27 07:27:08,055 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 9/117 +[2025-02-27 07:27:08,104 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 10/117 +[2025-02-27 07:27:08,129 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 11/117 +[2025-02-27 07:27:08,154 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 12/117 +[2025-02-27 07:27:08,182 INFO test.py line 201 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Batch: 115/117 +[2025-02-27 07:27:11,111 INFO test.py line 201 1688082] Test: 33/78-scene0553_01, Batch: 116/117 +[2025-02-27 07:27:11,183 INFO test.py line 289 1688082] Test: scene0553_01 [33/78]-61388 Batch 3.397 (5.324) Accuracy 0.9736 (0.7408) mIoU 0.5090 (0.6402) +[2025-02-27 07:27:11,221 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 0/138 +[2025-02-27 07:27:11,253 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 1/138 +[2025-02-27 07:27:11,285 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 2/138 +[2025-02-27 07:27:11,318 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 3/138 +[2025-02-27 07:27:11,351 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 4/138 +[2025-02-27 07:27:11,382 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 5/138 +[2025-02-27 07:27:11,412 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 6/138 +[2025-02-27 07:27:11,442 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 7/138 +[2025-02-27 07:27:11,473 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 8/138 +[2025-02-27 07:27:11,517 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 9/138 +[2025-02-27 07:27:11,557 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 10/138 +[2025-02-27 07:27:11,597 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 11/138 +[2025-02-27 07:27:11,628 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 12/138 +[2025-02-27 07:27:11,663 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 13/138 +[2025-02-27 07:27:11,695 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 14/138 +[2025-02-27 07:27:11,726 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 15/138 +[2025-02-27 07:27:11,759 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 16/138 +[2025-02-27 07:27:11,792 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 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test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 120/138 +[2025-02-27 07:27:15,567 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 121/138 +[2025-02-27 07:27:15,637 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 122/138 +[2025-02-27 07:27:15,679 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 123/138 +[2025-02-27 07:27:15,712 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 124/138 +[2025-02-27 07:27:15,745 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 125/138 +[2025-02-27 07:27:15,787 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 126/138 +[2025-02-27 07:27:15,827 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 127/138 +[2025-02-27 07:27:15,857 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 128/138 +[2025-02-27 07:27:15,890 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 129/138 +[2025-02-27 07:27:15,922 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 130/138 +[2025-02-27 07:27:15,979 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 131/138 +[2025-02-27 07:27:16,010 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 132/138 +[2025-02-27 07:27:16,061 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 133/138 +[2025-02-27 07:27:16,094 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 134/138 +[2025-02-27 07:27:16,126 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 135/138 +[2025-02-27 07:27:16,160 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 136/138 +[2025-02-27 07:27:16,207 INFO test.py line 201 1688082] Test: 34/78-scene0462_00, Batch: 137/138 +[2025-02-27 07:27:16,512 INFO test.py line 289 1688082] Test: scene0462_00 [34/78]-156714 Batch 5.327 (5.324) Accuracy 0.8389 (0.7233) mIoU 0.2257 (0.6235) +[2025-02-27 07:27:16,539 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 0/113 +[2025-02-27 07:27:16,566 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 1/113 +[2025-02-27 07:27:16,601 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 2/113 +[2025-02-27 07:27:16,629 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 3/113 +[2025-02-27 07:27:16,655 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 4/113 +[2025-02-27 07:27:16,680 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 5/113 +[2025-02-27 07:27:16,707 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 6/113 +[2025-02-27 07:27:16,732 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 7/113 +[2025-02-27 07:27:16,757 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 8/113 +[2025-02-27 07:27:16,788 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 9/113 +[2025-02-27 07:27:16,814 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 10/113 +[2025-02-27 07:27:16,838 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 11/113 +[2025-02-27 07:27:16,863 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 12/113 +[2025-02-27 07:27:16,890 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 13/113 +[2025-02-27 07:27:16,917 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 14/113 +[2025-02-27 07:27:16,974 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 15/113 +[2025-02-27 07:27:17,010 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 16/113 +[2025-02-27 07:27:17,050 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 17/113 +[2025-02-27 07:27:17,094 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 18/113 +[2025-02-27 07:27:17,137 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 19/113 +[2025-02-27 07:27:17,175 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 20/113 +[2025-02-27 07:27:17,214 INFO test.py line 201 1688082] Test: 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07:27:19,850 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 83/113 +[2025-02-27 07:27:19,895 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 84/113 +[2025-02-27 07:27:19,925 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 85/113 +[2025-02-27 07:27:19,954 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 86/113 +[2025-02-27 07:27:19,986 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 87/113 +[2025-02-27 07:27:20,015 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 88/113 +[2025-02-27 07:27:20,040 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 89/113 +[2025-02-27 07:27:20,067 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 90/113 +[2025-02-27 07:27:20,093 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 91/113 +[2025-02-27 07:27:20,118 INFO test.py line 201 1688082] Test: 35/78-scene0146_00, Batch: 92/113 +[2025-02-27 07:27:20,145 INFO test.py line 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[35/78]-60438 Batch 4.302 (5.295) Accuracy 0.9306 (0.7253) mIoU 0.3777 (0.6251) +[2025-02-27 07:27:20,861 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 0/134 +[2025-02-27 07:27:20,908 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 1/134 +[2025-02-27 07:27:20,952 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 2/134 +[2025-02-27 07:27:20,996 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 3/134 +[2025-02-27 07:27:21,054 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 4/134 +[2025-02-27 07:27:21,094 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 5/134 +[2025-02-27 07:27:21,141 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 6/134 +[2025-02-27 07:27:21,183 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 7/134 +[2025-02-27 07:27:21,224 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 8/134 +[2025-02-27 07:27:21,282 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 9/134 +[2025-02-27 07:27:21,326 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 10/134 +[2025-02-27 07:27:21,391 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 11/134 +[2025-02-27 07:27:21,427 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 12/134 +[2025-02-27 07:27:21,474 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 13/134 +[2025-02-27 07:27:21,510 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 14/134 +[2025-02-27 07:27:21,547 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 15/134 +[2025-02-27 07:27:21,584 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 16/134 +[2025-02-27 07:27:21,620 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 17/134 +[2025-02-27 07:27:21,650 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 18/134 +[2025-02-27 07:27:21,680 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 19/134 +[2025-02-27 07:27:21,709 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 20/134 +[2025-02-27 07:27:21,738 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 21/134 +[2025-02-27 07:27:21,770 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 22/134 +[2025-02-27 07:27:21,801 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 23/134 +[2025-02-27 07:27:21,837 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 24/134 +[2025-02-27 07:27:21,869 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 25/134 +[2025-02-27 07:27:21,907 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 26/134 +[2025-02-27 07:27:21,969 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 27/134 +[2025-02-27 07:27:21,998 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 28/134 +[2025-02-27 07:27:22,051 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 29/134 +[2025-02-27 07:27:22,080 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 30/134 +[2025-02-27 07:27:22,109 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 31/134 +[2025-02-27 07:27:22,142 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 32/134 +[2025-02-27 07:27:22,172 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 33/134 +[2025-02-27 07:27:22,202 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 34/134 +[2025-02-27 07:27:22,230 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 35/134 +[2025-02-27 07:27:22,259 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 36/134 +[2025-02-27 07:27:22,288 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 37/134 +[2025-02-27 07:27:22,317 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 38/134 +[2025-02-27 07:27:22,346 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 39/134 +[2025-02-27 07:27:22,373 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 40/134 +[2025-02-27 07:27:22,430 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 41/134 +[2025-02-27 07:27:22,458 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 42/134 +[2025-02-27 07:27:22,508 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 43/134 +[2025-02-27 07:27:22,536 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 44/134 +[2025-02-27 07:27:22,565 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 45/134 +[2025-02-27 07:27:22,593 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 46/134 +[2025-02-27 07:27:22,650 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 47/134 +[2025-02-27 07:27:22,707 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 48/134 +[2025-02-27 07:27:22,742 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 49/134 +[2025-02-27 07:27:22,769 INFO test.py line 201 1688082] Test: 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07:27:23,497 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 71/134 +[2025-02-27 07:27:23,536 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 72/134 +[2025-02-27 07:27:23,568 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 73/134 +[2025-02-27 07:27:23,607 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 74/134 +[2025-02-27 07:27:23,640 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 75/134 +[2025-02-27 07:27:23,673 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 76/134 +[2025-02-27 07:27:23,705 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 77/134 +[2025-02-27 07:27:23,737 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 78/134 +[2025-02-27 07:27:23,769 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 79/134 +[2025-02-27 07:27:23,826 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 80/134 +[2025-02-27 07:27:23,857 INFO test.py line 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07:27:24,942 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 112/134 +[2025-02-27 07:27:25,004 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 113/134 +[2025-02-27 07:27:25,038 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 114/134 +[2025-02-27 07:27:25,074 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 115/134 +[2025-02-27 07:27:25,111 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 116/134 +[2025-02-27 07:27:25,169 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 117/134 +[2025-02-27 07:27:25,207 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 118/134 +[2025-02-27 07:27:25,267 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 119/134 +[2025-02-27 07:27:25,301 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 120/134 +[2025-02-27 07:27:25,336 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 121/134 +[2025-02-27 07:27:25,376 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 122/134 +[2025-02-27 07:27:25,412 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 123/134 +[2025-02-27 07:27:25,446 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 124/134 +[2025-02-27 07:27:25,480 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 125/134 +[2025-02-27 07:27:25,521 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 126/134 +[2025-02-27 07:27:25,554 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 127/134 +[2025-02-27 07:27:25,597 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 128/134 +[2025-02-27 07:27:25,634 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 129/134 +[2025-02-27 07:27:25,668 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 130/134 +[2025-02-27 07:27:25,703 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 131/134 +[2025-02-27 07:27:25,737 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 132/134 +[2025-02-27 07:27:25,772 INFO test.py line 201 1688082] Test: 36/78-scene0131_01, Batch: 133/134 +[2025-02-27 07:27:26,000 INFO test.py line 289 1688082] Test: scene0131_01 [36/78]-172221 Batch 5.185 (5.292) Accuracy 0.8405 (0.7066) mIoU 0.2125 (0.6108) +[2025-02-27 07:27:26,056 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 0/131 +[2025-02-27 07:27:26,106 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 1/131 +[2025-02-27 07:27:26,138 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 2/131 +[2025-02-27 07:27:26,169 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 3/131 +[2025-02-27 07:27:26,199 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 4/131 +[2025-02-27 07:27:26,231 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 5/131 +[2025-02-27 07:27:26,262 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 6/131 +[2025-02-27 07:27:26,290 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 7/131 +[2025-02-27 07:27:26,322 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 8/131 +[2025-02-27 07:27:26,354 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 9/131 +[2025-02-27 07:27:26,382 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 10/131 +[2025-02-27 07:27:26,411 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 11/131 +[2025-02-27 07:27:26,440 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 12/131 +[2025-02-27 07:27:26,470 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 13/131 +[2025-02-27 07:27:26,503 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 14/131 +[2025-02-27 07:27:26,537 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 15/131 +[2025-02-27 07:27:26,564 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 16/131 +[2025-02-27 07:27:26,591 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 17/131 +[2025-02-27 07:27:26,620 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 18/131 +[2025-02-27 07:27:26,648 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 19/131 +[2025-02-27 07:27:26,679 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 20/131 +[2025-02-27 07:27:26,707 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 21/131 +[2025-02-27 07:27:26,734 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 22/131 +[2025-02-27 07:27:26,765 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 23/131 +[2025-02-27 07:27:26,792 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 24/131 +[2025-02-27 07:27:26,830 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 25/131 +[2025-02-27 07:27:26,856 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 26/131 +[2025-02-27 07:27:26,884 INFO test.py line 201 1688082] Test: 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07:27:27,494 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 48/131 +[2025-02-27 07:27:27,522 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 49/131 +[2025-02-27 07:27:27,551 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 50/131 +[2025-02-27 07:27:27,578 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 51/131 +[2025-02-27 07:27:27,612 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 52/131 +[2025-02-27 07:27:27,643 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 53/131 +[2025-02-27 07:27:27,670 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 54/131 +[2025-02-27 07:27:27,697 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 55/131 +[2025-02-27 07:27:27,729 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 56/131 +[2025-02-27 07:27:27,757 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 57/131 +[2025-02-27 07:27:27,783 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 58/131 +[2025-02-27 07:27:27,811 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 59/131 +[2025-02-27 07:27:27,840 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 60/131 +[2025-02-27 07:27:27,867 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 61/131 +[2025-02-27 07:27:27,892 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 62/131 +[2025-02-27 07:27:27,918 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 63/131 +[2025-02-27 07:27:27,949 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 64/131 +[2025-02-27 07:27:27,978 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 65/131 +[2025-02-27 07:27:28,006 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 66/131 +[2025-02-27 07:27:28,033 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 67/131 +[2025-02-27 07:27:28,060 INFO test.py line 201 1688082] Test: 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07:27:28,658 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 89/131 +[2025-02-27 07:27:28,685 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 90/131 +[2025-02-27 07:27:28,713 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 91/131 +[2025-02-27 07:27:28,743 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 92/131 +[2025-02-27 07:27:28,798 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 93/131 +[2025-02-27 07:27:28,826 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 94/131 +[2025-02-27 07:27:28,858 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 95/131 +[2025-02-27 07:27:28,895 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 96/131 +[2025-02-27 07:27:28,921 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 97/131 +[2025-02-27 07:27:28,952 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 98/131 +[2025-02-27 07:27:28,979 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 99/131 +[2025-02-27 07:27:29,008 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 100/131 +[2025-02-27 07:27:29,035 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 101/131 +[2025-02-27 07:27:29,063 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 102/131 +[2025-02-27 07:27:29,092 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 103/131 +[2025-02-27 07:27:29,126 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 104/131 +[2025-02-27 07:27:29,154 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 105/131 +[2025-02-27 07:27:29,183 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 106/131 +[2025-02-27 07:27:29,211 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 107/131 +[2025-02-27 07:27:29,238 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 108/131 +[2025-02-27 07:27:29,267 INFO test.py line 201 1688082] Test: 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Batch: 119/131 +[2025-02-27 07:27:29,579 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 120/131 +[2025-02-27 07:27:29,614 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 121/131 +[2025-02-27 07:27:29,642 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 122/131 +[2025-02-27 07:27:29,670 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 123/131 +[2025-02-27 07:27:29,698 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 124/131 +[2025-02-27 07:27:29,726 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 125/131 +[2025-02-27 07:27:29,753 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 126/131 +[2025-02-27 07:27:29,781 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 127/131 +[2025-02-27 07:27:29,809 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 128/131 +[2025-02-27 07:27:29,835 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 129/131 +[2025-02-27 07:27:29,866 INFO test.py line 201 1688082] Test: 37/78-scene0086_00, Batch: 130/131 +[2025-02-27 07:27:30,009 INFO test.py line 289 1688082] Test: scene0086_00 [37/78]-124572 Batch 4.009 (5.257) Accuracy 0.9062 (0.7079) mIoU 0.3604 (0.6130) +[2025-02-27 07:27:30,060 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 0/113 +[2025-02-27 07:27:30,108 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 1/113 +[2025-02-27 07:27:30,149 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 2/113 +[2025-02-27 07:27:30,186 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 3/113 +[2025-02-27 07:27:30,225 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 4/113 +[2025-02-27 07:27:30,273 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 5/113 +[2025-02-27 07:27:30,313 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 6/113 +[2025-02-27 07:27:30,387 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 7/113 +[2025-02-27 07:27:30,443 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 8/113 +[2025-02-27 07:27:30,504 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 9/113 +[2025-02-27 07:27:30,556 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 10/113 +[2025-02-27 07:27:30,625 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 11/113 +[2025-02-27 07:27:30,684 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 12/113 +[2025-02-27 07:27:30,723 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 13/113 +[2025-02-27 07:27:30,767 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 14/113 +[2025-02-27 07:27:30,805 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 15/113 +[2025-02-27 07:27:30,858 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 16/113 +[2025-02-27 07:27:30,895 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 17/113 +[2025-02-27 07:27:30,926 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 18/113 +[2025-02-27 07:27:30,957 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 19/113 +[2025-02-27 07:27:30,986 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 20/113 +[2025-02-27 07:27:31,019 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 21/113 +[2025-02-27 07:27:31,049 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 22/113 +[2025-02-27 07:27:31,079 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 23/113 +[2025-02-27 07:27:31,109 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 24/113 +[2025-02-27 07:27:31,144 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 25/113 +[2025-02-27 07:27:31,174 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 26/113 +[2025-02-27 07:27:31,206 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 27/113 +[2025-02-27 07:27:31,237 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 28/113 +[2025-02-27 07:27:31,267 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 29/113 +[2025-02-27 07:27:31,329 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 30/113 +[2025-02-27 07:27:31,359 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 31/113 +[2025-02-27 07:27:31,388 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 32/113 +[2025-02-27 07:27:31,418 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 33/113 +[2025-02-27 07:27:31,456 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 34/113 +[2025-02-27 07:27:31,487 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 35/113 +[2025-02-27 07:27:31,516 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 36/113 +[2025-02-27 07:27:31,545 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 37/113 +[2025-02-27 07:27:31,598 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 38/113 +[2025-02-27 07:27:31,628 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 39/113 +[2025-02-27 07:27:31,658 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 40/113 +[2025-02-27 07:27:31,685 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 41/113 +[2025-02-27 07:27:31,726 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 42/113 +[2025-02-27 07:27:31,755 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 43/113 +[2025-02-27 07:27:31,786 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 44/113 +[2025-02-27 07:27:31,814 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 45/113 +[2025-02-27 07:27:31,852 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 46/113 +[2025-02-27 07:27:31,882 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 47/113 +[2025-02-27 07:27:31,911 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, 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07:27:33,501 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 100/113 +[2025-02-27 07:27:33,532 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 101/113 +[2025-02-27 07:27:33,562 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 102/113 +[2025-02-27 07:27:33,595 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 103/113 +[2025-02-27 07:27:33,625 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 104/113 +[2025-02-27 07:27:33,658 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 105/113 +[2025-02-27 07:27:33,687 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 106/113 +[2025-02-27 07:27:33,716 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 107/113 +[2025-02-27 07:27:33,747 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 108/113 +[2025-02-27 07:27:33,777 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 109/113 +[2025-02-27 07:27:33,808 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 110/113 +[2025-02-27 07:27:33,841 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 111/113 +[2025-02-27 07:27:33,871 INFO test.py line 201 1688082] Test: 38/78-scene0196_00, Batch: 112/113 +[2025-02-27 07:27:34,034 INFO test.py line 289 1688082] Test: scene0196_00 [38/78]-146032 Batch 4.025 (5.225) Accuracy 0.9508 (0.7090) mIoU 0.3762 (0.6143) +[2025-02-27 07:27:34,077 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 0/129 +[2025-02-27 07:27:34,113 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 1/129 +[2025-02-27 07:27:34,148 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 2/129 +[2025-02-27 07:27:34,183 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 3/129 +[2025-02-27 07:27:34,235 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 4/129 +[2025-02-27 07:27:34,272 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 5/129 +[2025-02-27 07:27:34,305 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 6/129 +[2025-02-27 07:27:34,340 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 7/129 +[2025-02-27 07:27:34,385 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 8/129 +[2025-02-27 07:27:34,422 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 9/129 +[2025-02-27 07:27:34,465 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 10/129 +[2025-02-27 07:27:34,501 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 11/129 +[2025-02-27 07:27:34,536 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 12/129 +[2025-02-27 07:27:34,572 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 13/129 +[2025-02-27 07:27:34,607 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 14/129 +[2025-02-27 07:27:34,643 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 15/129 +[2025-02-27 07:27:34,679 INFO 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07:27:35,883 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 47/129 +[2025-02-27 07:27:35,928 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 48/129 +[2025-02-27 07:27:35,962 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 49/129 +[2025-02-27 07:27:35,995 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 50/129 +[2025-02-27 07:27:36,031 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 51/129 +[2025-02-27 07:27:36,070 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 52/129 +[2025-02-27 07:27:36,113 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 53/129 +[2025-02-27 07:27:36,152 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 54/129 +[2025-02-27 07:27:36,194 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 55/129 +[2025-02-27 07:27:36,234 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 56/129 +[2025-02-27 07:27:36,272 INFO test.py line 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Batch: 118/129 +[2025-02-27 07:27:38,775 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 119/129 +[2025-02-27 07:27:38,812 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 120/129 +[2025-02-27 07:27:38,848 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 121/129 +[2025-02-27 07:27:38,886 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 122/129 +[2025-02-27 07:27:38,921 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 123/129 +[2025-02-27 07:27:38,966 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 124/129 +[2025-02-27 07:27:39,010 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 125/129 +[2025-02-27 07:27:39,055 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 126/129 +[2025-02-27 07:27:39,091 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 127/129 +[2025-02-27 07:27:39,128 INFO test.py line 201 1688082] Test: 39/78-scene0050_00, Batch: 128/129 +[2025-02-27 07:27:39,378 INFO test.py line 289 1688082] Test: scene0050_00 [39/78]-211406 Batch 5.343 (5.228) Accuracy 0.7760 (0.7086) mIoU 0.2923 (0.6120) +[2025-02-27 07:27:39,442 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 0/138 +[2025-02-27 07:27:39,494 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 1/138 +[2025-02-27 07:27:39,542 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 2/138 +[2025-02-27 07:27:39,590 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 3/138 +[2025-02-27 07:27:39,641 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 4/138 +[2025-02-27 07:27:39,702 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 5/138 +[2025-02-27 07:27:39,765 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 6/138 +[2025-02-27 07:27:39,824 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 7/138 +[2025-02-27 07:27:39,879 INFO test.py line 201 1688082] Test: 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07:27:41,032 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 29/138 +[2025-02-27 07:27:41,085 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 30/138 +[2025-02-27 07:27:41,136 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 31/138 +[2025-02-27 07:27:41,199 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 32/138 +[2025-02-27 07:27:41,262 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 33/138 +[2025-02-27 07:27:41,316 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 34/138 +[2025-02-27 07:27:41,374 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 35/138 +[2025-02-27 07:27:41,432 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 36/138 +[2025-02-27 07:27:41,486 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 37/138 +[2025-02-27 07:27:41,539 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 38/138 +[2025-02-27 07:27:41,597 INFO test.py line 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07:27:43,087 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 70/138 +[2025-02-27 07:27:43,130 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 71/138 +[2025-02-27 07:27:43,172 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 72/138 +[2025-02-27 07:27:43,216 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 73/138 +[2025-02-27 07:27:43,260 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 74/138 +[2025-02-27 07:27:43,325 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 75/138 +[2025-02-27 07:27:43,377 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 76/138 +[2025-02-27 07:27:43,419 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 77/138 +[2025-02-27 07:27:43,461 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 78/138 +[2025-02-27 07:27:43,507 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 79/138 +[2025-02-27 07:27:43,548 INFO test.py line 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07:27:45,068 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 111/138 +[2025-02-27 07:27:45,113 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 112/138 +[2025-02-27 07:27:45,157 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 113/138 +[2025-02-27 07:27:45,215 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 114/138 +[2025-02-27 07:27:45,260 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 115/138 +[2025-02-27 07:27:45,305 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 116/138 +[2025-02-27 07:27:45,356 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 117/138 +[2025-02-27 07:27:45,401 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 118/138 +[2025-02-27 07:27:45,448 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 119/138 +[2025-02-27 07:27:45,510 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 120/138 +[2025-02-27 07:27:45,557 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 121/138 +[2025-02-27 07:27:45,601 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 122/138 +[2025-02-27 07:27:45,645 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 123/138 +[2025-02-27 07:27:45,690 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 124/138 +[2025-02-27 07:27:45,735 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 125/138 +[2025-02-27 07:27:45,781 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 126/138 +[2025-02-27 07:27:45,827 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 127/138 +[2025-02-27 07:27:45,871 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 128/138 +[2025-02-27 07:27:45,914 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 129/138 +[2025-02-27 07:27:45,956 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 130/138 +[2025-02-27 07:27:45,999 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 131/138 +[2025-02-27 07:27:46,040 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 132/138 +[2025-02-27 07:27:46,083 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 133/138 +[2025-02-27 07:27:46,128 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 134/138 +[2025-02-27 07:27:46,171 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 135/138 +[2025-02-27 07:27:46,213 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 136/138 +[2025-02-27 07:27:46,253 INFO test.py line 201 1688082] Test: 40/78-scene0616_00, Batch: 137/138 +[2025-02-27 07:27:46,517 INFO test.py line 289 1688082] Test: scene0616_00 [40/78]-310248 Batch 7.139 (5.275) Accuracy 0.7327 (0.7017) mIoU 0.2844 (0.6038) +[2025-02-27 07:27:46,555 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 0/142 +[2025-02-27 07:27:46,588 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 1/142 +[2025-02-27 07:27:46,621 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 2/142 +[2025-02-27 07:27:46,652 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 3/142 +[2025-02-27 07:27:46,684 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 4/142 +[2025-02-27 07:27:46,717 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 5/142 +[2025-02-27 07:27:46,753 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 6/142 +[2025-02-27 07:27:46,785 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 7/142 +[2025-02-27 07:27:46,819 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 8/142 +[2025-02-27 07:27:46,853 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 9/142 +[2025-02-27 07:27:46,885 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 10/142 +[2025-02-27 07:27:46,917 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 11/142 +[2025-02-27 07:27:46,947 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 12/142 +[2025-02-27 07:27:46,978 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 13/142 +[2025-02-27 07:27:47,009 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 14/142 +[2025-02-27 07:27:47,041 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 15/142 +[2025-02-27 07:27:47,073 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 16/142 +[2025-02-27 07:27:47,104 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 17/142 +[2025-02-27 07:27:47,134 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 18/142 +[2025-02-27 07:27:47,165 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 19/142 +[2025-02-27 07:27:47,197 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 20/142 +[2025-02-27 07:27:47,230 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 21/142 +[2025-02-27 07:27:47,261 INFO test.py line 201 1688082] Test: 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07:27:48,149 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 43/142 +[2025-02-27 07:27:48,183 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 44/142 +[2025-02-27 07:27:48,217 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 45/142 +[2025-02-27 07:27:48,249 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 46/142 +[2025-02-27 07:27:48,286 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 47/142 +[2025-02-27 07:27:48,319 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 48/142 +[2025-02-27 07:27:48,352 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 49/142 +[2025-02-27 07:27:48,386 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 50/142 +[2025-02-27 07:27:48,422 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 51/142 +[2025-02-27 07:27:48,456 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 52/142 +[2025-02-27 07:27:48,490 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 53/142 +[2025-02-27 07:27:48,522 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 54/142 +[2025-02-27 07:27:48,555 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 55/142 +[2025-02-27 07:27:48,594 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 56/142 +[2025-02-27 07:27:48,626 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 57/142 +[2025-02-27 07:27:48,659 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 58/142 +[2025-02-27 07:27:48,691 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 59/142 +[2025-02-27 07:27:48,724 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 60/142 +[2025-02-27 07:27:48,759 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 61/142 +[2025-02-27 07:27:48,793 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 62/142 +[2025-02-27 07:27:48,825 INFO test.py line 201 1688082] Test: 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07:27:49,578 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 84/142 +[2025-02-27 07:27:49,611 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 85/142 +[2025-02-27 07:27:49,660 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 86/142 +[2025-02-27 07:27:49,695 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 87/142 +[2025-02-27 07:27:49,731 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 88/142 +[2025-02-27 07:27:49,768 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 89/142 +[2025-02-27 07:27:49,804 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 90/142 +[2025-02-27 07:27:49,863 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 91/142 +[2025-02-27 07:27:49,930 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 92/142 +[2025-02-27 07:27:49,965 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 93/142 +[2025-02-27 07:27:50,000 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 94/142 +[2025-02-27 07:27:50,035 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 95/142 +[2025-02-27 07:27:50,071 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 96/142 +[2025-02-27 07:27:50,106 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 97/142 +[2025-02-27 07:27:50,143 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 98/142 +[2025-02-27 07:27:50,179 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 99/142 +[2025-02-27 07:27:50,215 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 100/142 +[2025-02-27 07:27:50,252 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 101/142 +[2025-02-27 07:27:50,288 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 102/142 +[2025-02-27 07:27:50,325 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 103/142 +[2025-02-27 07:27:50,360 INFO test.py line 201 1688082] Test: 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Batch: 114/142 +[2025-02-27 07:27:50,789 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 115/142 +[2025-02-27 07:27:50,826 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 116/142 +[2025-02-27 07:27:50,862 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 117/142 +[2025-02-27 07:27:50,897 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 118/142 +[2025-02-27 07:27:50,932 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 119/142 +[2025-02-27 07:27:50,967 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 120/142 +[2025-02-27 07:27:51,002 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 121/142 +[2025-02-27 07:27:51,038 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 122/142 +[2025-02-27 07:27:51,074 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 123/142 +[2025-02-27 07:27:51,111 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 124/142 +[2025-02-27 07:27:51,148 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 125/142 +[2025-02-27 07:27:51,183 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 126/142 +[2025-02-27 07:27:51,218 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 127/142 +[2025-02-27 07:27:51,254 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 128/142 +[2025-02-27 07:27:51,291 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 129/142 +[2025-02-27 07:27:51,329 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 130/142 +[2025-02-27 07:27:51,366 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 131/142 +[2025-02-27 07:27:51,402 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 132/142 +[2025-02-27 07:27:51,438 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 133/142 +[2025-02-27 07:27:51,474 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 134/142 +[2025-02-27 07:27:51,509 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 135/142 +[2025-02-27 07:27:51,544 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 136/142 +[2025-02-27 07:27:51,579 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 137/142 +[2025-02-27 07:27:51,613 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 138/142 +[2025-02-27 07:27:51,647 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 139/142 +[2025-02-27 07:27:51,682 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 140/142 +[2025-02-27 07:27:51,717 INFO test.py line 201 1688082] Test: 41/78-scene0095_00, Batch: 141/142 +[2025-02-27 07:27:52,074 INFO test.py line 289 1688082] Test: scene0095_00 [41/78]-214895 Batch 5.557 (5.282) Accuracy 0.8723 (0.7019) mIoU 0.3133 (0.6030) +[2025-02-27 07:27:52,113 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 0/139 +[2025-02-27 07:27:52,146 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:27:52,480 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 12/139 +[2025-02-27 07:27:52,505 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 13/139 +[2025-02-27 07:27:52,532 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 14/139 +[2025-02-27 07:27:52,557 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 15/139 +[2025-02-27 07:27:52,583 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 16/139 +[2025-02-27 07:27:52,609 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 17/139 +[2025-02-27 07:27:52,643 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 18/139 +[2025-02-27 07:27:52,669 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 19/139 +[2025-02-27 07:27:52,695 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 20/139 +[2025-02-27 07:27:52,722 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 21/139 +[2025-02-27 07:27:52,748 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 22/139 +[2025-02-27 07:27:52,774 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 23/139 +[2025-02-27 07:27:52,799 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 24/139 +[2025-02-27 07:27:52,823 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 25/139 +[2025-02-27 07:27:52,848 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 26/139 +[2025-02-27 07:27:52,885 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 27/139 +[2025-02-27 07:27:52,911 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 28/139 +[2025-02-27 07:27:52,935 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 29/139 +[2025-02-27 07:27:52,963 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 30/139 +[2025-02-27 07:27:52,989 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 31/139 +[2025-02-27 07:27:53,015 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 32/139 +[2025-02-27 07:27:53,040 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 33/139 +[2025-02-27 07:27:53,067 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 34/139 +[2025-02-27 07:27:53,094 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 35/139 +[2025-02-27 07:27:53,121 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 36/139 +[2025-02-27 07:27:53,147 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 37/139 +[2025-02-27 07:27:53,173 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 38/139 +[2025-02-27 07:27:53,199 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 39/139 +[2025-02-27 07:27:53,227 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 40/139 +[2025-02-27 07:27:53,253 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 41/139 +[2025-02-27 07:27:53,279 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 42/139 +[2025-02-27 07:27:53,305 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 43/139 +[2025-02-27 07:27:53,331 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 44/139 +[2025-02-27 07:27:53,356 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 45/139 +[2025-02-27 07:27:53,382 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 46/139 +[2025-02-27 07:27:53,407 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 47/139 +[2025-02-27 07:27:53,432 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 48/139 +[2025-02-27 07:27:53,472 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 49/139 +[2025-02-27 07:27:53,497 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 50/139 +[2025-02-27 07:27:53,530 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 51/139 +[2025-02-27 07:27:53,557 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 52/139 +[2025-02-27 07:27:53,581 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 53/139 +[2025-02-27 07:27:53,606 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 54/139 +[2025-02-27 07:27:53,630 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 55/139 +[2025-02-27 07:27:53,655 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 56/139 +[2025-02-27 07:27:53,681 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 57/139 +[2025-02-27 07:27:53,706 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 58/139 +[2025-02-27 07:27:53,730 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 59/139 +[2025-02-27 07:27:53,756 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 60/139 +[2025-02-27 07:27:53,780 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 61/139 +[2025-02-27 07:27:53,805 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 62/139 +[2025-02-27 07:27:53,832 INFO test.py line 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07:27:54,651 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 94/139 +[2025-02-27 07:27:54,677 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 95/139 +[2025-02-27 07:27:54,701 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 96/139 +[2025-02-27 07:27:54,761 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 97/139 +[2025-02-27 07:27:54,801 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 98/139 +[2025-02-27 07:27:54,864 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 99/139 +[2025-02-27 07:27:54,900 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 100/139 +[2025-02-27 07:27:54,940 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 101/139 +[2025-02-27 07:27:54,986 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 102/139 +[2025-02-27 07:27:55,028 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 103/139 +[2025-02-27 07:27:55,055 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 104/139 +[2025-02-27 07:27:55,082 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 105/139 +[2025-02-27 07:27:55,113 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 106/139 +[2025-02-27 07:27:55,153 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 107/139 +[2025-02-27 07:27:55,179 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 108/139 +[2025-02-27 07:27:55,204 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 109/139 +[2025-02-27 07:27:55,238 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 110/139 +[2025-02-27 07:27:55,267 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 111/139 +[2025-02-27 07:27:55,293 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 112/139 +[2025-02-27 07:27:55,321 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 113/139 +[2025-02-27 07:27:55,347 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 114/139 +[2025-02-27 07:27:55,373 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 115/139 +[2025-02-27 07:27:55,407 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 116/139 +[2025-02-27 07:27:55,432 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 117/139 +[2025-02-27 07:27:55,456 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 118/139 +[2025-02-27 07:27:55,482 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 119/139 +[2025-02-27 07:27:55,506 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 120/139 +[2025-02-27 07:27:55,530 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 121/139 +[2025-02-27 07:27:55,556 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 122/139 +[2025-02-27 07:27:55,582 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 123/139 +[2025-02-27 07:27:55,607 INFO test.py line 201 1688082] Test: 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Batch: 134/139 +[2025-02-27 07:27:55,901 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 135/139 +[2025-02-27 07:27:55,935 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 136/139 +[2025-02-27 07:27:55,972 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 137/139 +[2025-02-27 07:27:56,010 INFO test.py line 201 1688082] Test: 42/78-scene0701_01, Batch: 138/139 +[2025-02-27 07:27:56,112 INFO test.py line 289 1688082] Test: scene0701_01 [42/78]-77206 Batch 4.037 (5.253) Accuracy 0.9410 (0.7054) mIoU 0.3713 (0.6091) +[2025-02-27 07:27:56,138 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 0/112 +[2025-02-27 07:27:56,162 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 1/112 +[2025-02-27 07:27:56,188 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 2/112 +[2025-02-27 07:27:56,239 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 3/112 +[2025-02-27 07:27:56,264 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 4/112 +[2025-02-27 07:27:56,291 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 5/112 +[2025-02-27 07:27:56,314 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 6/112 +[2025-02-27 07:27:56,337 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 7/112 +[2025-02-27 07:27:56,362 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 8/112 +[2025-02-27 07:27:56,386 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 9/112 +[2025-02-27 07:27:56,410 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 10/112 +[2025-02-27 07:27:56,448 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 11/112 +[2025-02-27 07:27:56,485 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 12/112 +[2025-02-27 07:27:56,521 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 13/112 +[2025-02-27 07:27:56,576 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, 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07:27:56,853 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 25/112 +[2025-02-27 07:27:56,878 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 26/112 +[2025-02-27 07:27:56,903 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 27/112 +[2025-02-27 07:27:56,927 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 28/112 +[2025-02-27 07:27:56,953 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 29/112 +[2025-02-27 07:27:56,979 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 30/112 +[2025-02-27 07:27:57,006 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 31/112 +[2025-02-27 07:27:57,033 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 32/112 +[2025-02-27 07:27:57,068 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 33/112 +[2025-02-27 07:27:57,093 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 34/112 +[2025-02-27 07:27:57,119 INFO test.py line 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07:27:58,985 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 107/112 +[2025-02-27 07:27:59,010 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 108/112 +[2025-02-27 07:27:59,029 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 109/112 +[2025-02-27 07:27:59,047 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 110/112 +[2025-02-27 07:27:59,065 INFO test.py line 201 1688082] Test: 43/78-scene0406_01, Batch: 111/112 +[2025-02-27 07:27:59,110 INFO test.py line 289 1688082] Test: scene0406_01 [43/78]-45557 Batch 2.997 (5.200) Accuracy 0.9405 (0.7107) mIoU 0.5338 (0.6166) +[2025-02-27 07:28:00,357 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 0/118 +[2025-02-27 07:28:00,419 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 1/118 +[2025-02-27 07:28:00,483 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 2/118 +[2025-02-27 07:28:00,536 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:28:01,208 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 14/118 +[2025-02-27 07:28:01,274 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 15/118 +[2025-02-27 07:28:01,333 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 16/118 +[2025-02-27 07:28:01,386 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 17/118 +[2025-02-27 07:28:01,439 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 18/118 +[2025-02-27 07:28:01,488 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 19/118 +[2025-02-27 07:28:01,541 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 20/118 +[2025-02-27 07:28:01,591 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 21/118 +[2025-02-27 07:28:01,643 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 22/118 +[2025-02-27 07:28:01,701 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 23/118 +[2025-02-27 07:28:01,750 INFO 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Test: 44/78-scene0329_01, Batch: 34/118 +[2025-02-27 07:28:02,299 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 35/118 +[2025-02-27 07:28:02,350 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 36/118 +[2025-02-27 07:28:02,399 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 37/118 +[2025-02-27 07:28:02,449 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 38/118 +[2025-02-27 07:28:02,501 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 39/118 +[2025-02-27 07:28:02,556 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 40/118 +[2025-02-27 07:28:02,619 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 41/118 +[2025-02-27 07:28:02,672 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 42/118 +[2025-02-27 07:28:02,735 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 43/118 +[2025-02-27 07:28:02,783 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, 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07:28:05,490 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 96/118 +[2025-02-27 07:28:05,542 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 97/118 +[2025-02-27 07:28:05,595 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 98/118 +[2025-02-27 07:28:05,647 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 99/118 +[2025-02-27 07:28:05,699 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 100/118 +[2025-02-27 07:28:05,752 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 101/118 +[2025-02-27 07:28:05,805 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 102/118 +[2025-02-27 07:28:05,857 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 103/118 +[2025-02-27 07:28:05,909 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 104/118 +[2025-02-27 07:28:05,962 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 105/118 +[2025-02-27 07:28:06,013 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 106/118 +[2025-02-27 07:28:06,065 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 107/118 +[2025-02-27 07:28:06,113 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 108/118 +[2025-02-27 07:28:06,161 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 109/118 +[2025-02-27 07:28:06,210 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 110/118 +[2025-02-27 07:28:06,259 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 111/118 +[2025-02-27 07:28:06,307 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 112/118 +[2025-02-27 07:28:06,355 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 113/118 +[2025-02-27 07:28:06,412 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 114/118 +[2025-02-27 07:28:06,461 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 115/118 +[2025-02-27 07:28:06,513 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 116/118 +[2025-02-27 07:28:06,563 INFO test.py line 201 1688082] Test: 44/78-scene0329_01, Batch: 117/118 +[2025-02-27 07:28:06,976 INFO test.py line 289 1688082] Test: scene0329_01 [44/78]-368473 Batch 6.695 (5.234) Accuracy 0.9281 (0.7113) mIoU 0.3466 (0.6173) +[2025-02-27 07:28:07,002 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 0/104 +[2025-02-27 07:28:07,024 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 1/104 +[2025-02-27 07:28:07,047 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 2/104 +[2025-02-27 07:28:07,069 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 3/104 +[2025-02-27 07:28:07,092 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 4/104 +[2025-02-27 07:28:07,114 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 5/104 +[2025-02-27 07:28:07,135 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 6/104 +[2025-02-27 07:28:07,157 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 7/104 +[2025-02-27 07:28:07,178 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 8/104 +[2025-02-27 07:28:07,200 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 9/104 +[2025-02-27 07:28:07,222 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 10/104 +[2025-02-27 07:28:07,243 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 11/104 +[2025-02-27 07:28:07,264 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 12/104 +[2025-02-27 07:28:07,286 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 13/104 +[2025-02-27 07:28:07,307 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 14/104 +[2025-02-27 07:28:07,329 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 15/104 +[2025-02-27 07:28:07,350 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 16/104 +[2025-02-27 07:28:07,372 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 17/104 +[2025-02-27 07:28:07,395 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 18/104 +[2025-02-27 07:28:07,417 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 19/104 +[2025-02-27 07:28:07,440 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 20/104 +[2025-02-27 07:28:07,462 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 21/104 +[2025-02-27 07:28:07,485 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 22/104 +[2025-02-27 07:28:07,508 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 23/104 +[2025-02-27 07:28:07,532 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 24/104 +[2025-02-27 07:28:07,555 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 25/104 +[2025-02-27 07:28:07,579 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 26/104 +[2025-02-27 07:28:07,601 INFO test.py line 201 1688082] Test: 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07:28:09,176 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 89/104 +[2025-02-27 07:28:09,208 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 90/104 +[2025-02-27 07:28:09,241 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 91/104 +[2025-02-27 07:28:09,283 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 92/104 +[2025-02-27 07:28:09,326 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 93/104 +[2025-02-27 07:28:09,364 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 94/104 +[2025-02-27 07:28:09,409 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 95/104 +[2025-02-27 07:28:09,467 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 96/104 +[2025-02-27 07:28:09,521 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 97/104 +[2025-02-27 07:28:09,567 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 98/104 +[2025-02-27 07:28:09,617 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 99/104 +[2025-02-27 07:28:09,657 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 100/104 +[2025-02-27 07:28:09,697 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 101/104 +[2025-02-27 07:28:09,737 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 102/104 +[2025-02-27 07:28:09,774 INFO test.py line 201 1688082] Test: 45/78-scene0100_01, Batch: 103/104 +[2025-02-27 07:28:09,840 INFO test.py line 289 1688082] Test: scene0100_01 [45/78]-51211 Batch 2.863 (5.181) Accuracy 0.8670 (0.7116) mIoU 0.3518 (0.6159) +[2025-02-27 07:28:09,868 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 0/127 +[2025-02-27 07:28:09,896 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 1/127 +[2025-02-27 07:28:09,922 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 2/127 +[2025-02-27 07:28:09,947 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 3/127 +[2025-02-27 07:28:09,972 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 4/127 +[2025-02-27 07:28:09,997 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 5/127 +[2025-02-27 07:28:10,020 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 6/127 +[2025-02-27 07:28:10,043 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 7/127 +[2025-02-27 07:28:10,066 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 8/127 +[2025-02-27 07:28:10,089 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 9/127 +[2025-02-27 07:28:10,112 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 10/127 +[2025-02-27 07:28:10,135 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 11/127 +[2025-02-27 07:28:10,158 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 12/127 +[2025-02-27 07:28:10,182 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 13/127 +[2025-02-27 07:28:10,206 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 14/127 +[2025-02-27 07:28:10,233 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 15/127 +[2025-02-27 07:28:10,257 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 16/127 +[2025-02-27 07:28:10,281 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 17/127 +[2025-02-27 07:28:10,306 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 18/127 +[2025-02-27 07:28:10,331 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 19/127 +[2025-02-27 07:28:10,355 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 20/127 +[2025-02-27 07:28:10,380 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 21/127 +[2025-02-27 07:28:10,404 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 22/127 +[2025-02-27 07:28:10,429 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 23/127 +[2025-02-27 07:28:10,452 INFO test.py line 201 1688082] Test: 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Batch: 116/127 +[2025-02-27 07:28:12,688 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 117/127 +[2025-02-27 07:28:12,715 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 118/127 +[2025-02-27 07:28:12,742 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 119/127 +[2025-02-27 07:28:12,769 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 120/127 +[2025-02-27 07:28:12,796 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 121/127 +[2025-02-27 07:28:12,823 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 122/127 +[2025-02-27 07:28:12,851 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 123/127 +[2025-02-27 07:28:12,880 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 124/127 +[2025-02-27 07:28:12,913 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 125/127 +[2025-02-27 07:28:12,940 INFO test.py line 201 1688082] Test: 46/78-scene0664_02, Batch: 126/127 +[2025-02-27 07:28:12,996 INFO test.py line 289 1688082] Test: scene0664_02 [46/78]-46804 Batch 3.156 (5.137) Accuracy 0.8728 (0.7091) mIoU 0.5765 (0.6156) +[2025-02-27 07:28:13,042 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 0/126 +[2025-02-27 07:28:13,082 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 1/126 +[2025-02-27 07:28:13,113 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 2/126 +[2025-02-27 07:28:13,145 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 3/126 +[2025-02-27 07:28:13,175 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 4/126 +[2025-02-27 07:28:13,206 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 5/126 +[2025-02-27 07:28:13,235 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 6/126 +[2025-02-27 07:28:13,263 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 7/126 +[2025-02-27 07:28:13,290 INFO test.py line 201 1688082] Test: 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07:28:14,007 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 29/126 +[2025-02-27 07:28:14,033 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 30/126 +[2025-02-27 07:28:14,061 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 31/126 +[2025-02-27 07:28:14,089 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 32/126 +[2025-02-27 07:28:14,115 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 33/126 +[2025-02-27 07:28:14,147 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 34/126 +[2025-02-27 07:28:14,179 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 35/126 +[2025-02-27 07:28:14,208 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 36/126 +[2025-02-27 07:28:14,235 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 37/126 +[2025-02-27 07:28:14,263 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 38/126 +[2025-02-27 07:28:14,289 INFO test.py line 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07:28:16,505 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 111/126 +[2025-02-27 07:28:16,533 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 112/126 +[2025-02-27 07:28:16,561 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 113/126 +[2025-02-27 07:28:16,589 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 114/126 +[2025-02-27 07:28:16,619 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 115/126 +[2025-02-27 07:28:16,648 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 116/126 +[2025-02-27 07:28:16,678 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 117/126 +[2025-02-27 07:28:16,706 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 118/126 +[2025-02-27 07:28:16,737 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 119/126 +[2025-02-27 07:28:16,767 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 120/126 +[2025-02-27 07:28:16,799 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 121/126 +[2025-02-27 07:28:16,829 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 122/126 +[2025-02-27 07:28:16,856 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 123/126 +[2025-02-27 07:28:16,882 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 124/126 +[2025-02-27 07:28:16,910 INFO test.py line 201 1688082] Test: 47/78-scene0357_00, Batch: 125/126 +[2025-02-27 07:28:17,079 INFO test.py line 289 1688082] Test: scene0357_00 [47/78]-136945 Batch 4.083 (5.115) Accuracy 0.7362 (0.7055) mIoU 0.2282 (0.6130) +[2025-02-27 07:28:17,123 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 0/125 +[2025-02-27 07:28:17,157 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 1/125 +[2025-02-27 07:28:17,192 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 2/125 +[2025-02-27 07:28:17,226 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 3/125 +[2025-02-27 07:28:17,260 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 4/125 +[2025-02-27 07:28:17,295 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 5/125 +[2025-02-27 07:28:17,329 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 6/125 +[2025-02-27 07:28:17,362 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 7/125 +[2025-02-27 07:28:17,394 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 8/125 +[2025-02-27 07:28:17,426 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 9/125 +[2025-02-27 07:28:17,458 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 10/125 +[2025-02-27 07:28:17,490 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 11/125 +[2025-02-27 07:28:17,524 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 12/125 +[2025-02-27 07:28:17,558 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 13/125 +[2025-02-27 07:28:17,591 INFO 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07:28:18,601 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 45/125 +[2025-02-27 07:28:18,640 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 46/125 +[2025-02-27 07:28:18,672 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 47/125 +[2025-02-27 07:28:18,706 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 48/125 +[2025-02-27 07:28:18,739 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 49/125 +[2025-02-27 07:28:18,770 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 50/125 +[2025-02-27 07:28:18,799 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 51/125 +[2025-02-27 07:28:18,828 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 52/125 +[2025-02-27 07:28:18,859 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 53/125 +[2025-02-27 07:28:18,889 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 54/125 +[2025-02-27 07:28:18,919 INFO test.py line 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07:28:19,977 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 86/125 +[2025-02-27 07:28:20,008 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 87/125 +[2025-02-27 07:28:20,040 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 88/125 +[2025-02-27 07:28:20,072 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 89/125 +[2025-02-27 07:28:20,105 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 90/125 +[2025-02-27 07:28:20,138 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 91/125 +[2025-02-27 07:28:20,169 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 92/125 +[2025-02-27 07:28:20,205 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 93/125 +[2025-02-27 07:28:20,236 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 94/125 +[2025-02-27 07:28:20,267 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 95/125 +[2025-02-27 07:28:20,300 INFO test.py line 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Batch: 116/125 +[2025-02-27 07:28:20,964 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 117/125 +[2025-02-27 07:28:20,996 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 118/125 +[2025-02-27 07:28:21,035 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 119/125 +[2025-02-27 07:28:21,152 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 120/125 +[2025-02-27 07:28:21,239 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 121/125 +[2025-02-27 07:28:21,324 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 122/125 +[2025-02-27 07:28:21,452 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 123/125 +[2025-02-27 07:28:21,645 INFO test.py line 201 1688082] Test: 48/78-scene0474_00, Batch: 124/125 +[2025-02-27 07:28:22,187 INFO test.py line 289 1688082] Test: scene0474_00 [48/78]-182281 Batch 5.108 (5.115) Accuracy 0.9041 (0.7072) mIoU 0.4366 (0.6155) +[2025-02-27 07:28:22,361 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 0/134 +[2025-02-27 07:28:22,478 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 1/134 +[2025-02-27 07:28:22,616 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 2/134 +[2025-02-27 07:28:22,773 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 3/134 +[2025-02-27 07:28:22,894 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 4/134 +[2025-02-27 07:28:22,984 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 5/134 +[2025-02-27 07:28:23,097 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 6/134 +[2025-02-27 07:28:23,206 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 7/134 +[2025-02-27 07:28:23,321 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 8/134 +[2025-02-27 07:28:23,428 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 9/134 +[2025-02-27 07:28:23,546 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, 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07:28:24,790 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 21/134 +[2025-02-27 07:28:24,902 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 22/134 +[2025-02-27 07:28:25,006 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 23/134 +[2025-02-27 07:28:25,109 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 24/134 +[2025-02-27 07:28:25,225 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 25/134 +[2025-02-27 07:28:25,320 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 26/134 +[2025-02-27 07:28:25,431 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 27/134 +[2025-02-27 07:28:25,542 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 28/134 +[2025-02-27 07:28:25,688 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 29/134 +[2025-02-27 07:28:25,816 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 30/134 +[2025-02-27 07:28:25,981 INFO test.py line 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07:28:29,140 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 62/134 +[2025-02-27 07:28:29,226 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 63/134 +[2025-02-27 07:28:29,337 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 64/134 +[2025-02-27 07:28:29,446 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 65/134 +[2025-02-27 07:28:29,529 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 66/134 +[2025-02-27 07:28:29,622 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 67/134 +[2025-02-27 07:28:29,702 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 68/134 +[2025-02-27 07:28:29,776 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 69/134 +[2025-02-27 07:28:29,864 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 70/134 +[2025-02-27 07:28:29,944 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 71/134 +[2025-02-27 07:28:30,041 INFO test.py line 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07:28:32,974 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 103/134 +[2025-02-27 07:28:33,064 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 104/134 +[2025-02-27 07:28:33,147 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 105/134 +[2025-02-27 07:28:33,233 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 106/134 +[2025-02-27 07:28:33,347 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 107/134 +[2025-02-27 07:28:33,466 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 108/134 +[2025-02-27 07:28:33,570 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 109/134 +[2025-02-27 07:28:33,674 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 110/134 +[2025-02-27 07:28:33,800 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 111/134 +[2025-02-27 07:28:33,917 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 112/134 +[2025-02-27 07:28:34,027 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 113/134 +[2025-02-27 07:28:34,113 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 114/134 +[2025-02-27 07:28:34,200 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 115/134 +[2025-02-27 07:28:34,297 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 116/134 +[2025-02-27 07:28:34,380 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 117/134 +[2025-02-27 07:28:34,504 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 118/134 +[2025-02-27 07:28:34,610 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 119/134 +[2025-02-27 07:28:34,719 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 120/134 +[2025-02-27 07:28:34,825 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 121/134 +[2025-02-27 07:28:34,942 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 122/134 +[2025-02-27 07:28:35,033 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 123/134 +[2025-02-27 07:28:35,125 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 124/134 +[2025-02-27 07:28:35,215 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 125/134 +[2025-02-27 07:28:35,302 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 126/134 +[2025-02-27 07:28:35,384 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 127/134 +[2025-02-27 07:28:35,478 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 128/134 +[2025-02-27 07:28:35,571 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 129/134 +[2025-02-27 07:28:35,674 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 130/134 +[2025-02-27 07:28:35,759 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 131/134 +[2025-02-27 07:28:35,851 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 132/134 +[2025-02-27 07:28:35,930 INFO test.py line 201 1688082] Test: 49/78-scene0300_01, Batch: 133/134 +[2025-02-27 07:28:36,212 INFO test.py line 289 1688082] Test: scene0300_01 [49/78]-173223 Batch 14.023 (5.297) Accuracy 0.7358 (0.7040) mIoU 0.2616 (0.6130) +[2025-02-27 07:28:36,315 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 0/138 +[2025-02-27 07:28:36,451 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 1/138 +[2025-02-27 07:28:36,548 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 2/138 +[2025-02-27 07:28:36,655 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 3/138 +[2025-02-27 07:28:36,755 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 4/138 +[2025-02-27 07:28:36,850 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 5/138 +[2025-02-27 07:28:36,976 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 6/138 +[2025-02-27 07:28:37,080 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 7/138 +[2025-02-27 07:28:37,160 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 8/138 +[2025-02-27 07:28:37,262 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 9/138 +[2025-02-27 07:28:37,359 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 10/138 +[2025-02-27 07:28:37,457 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 11/138 +[2025-02-27 07:28:37,528 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 12/138 +[2025-02-27 07:28:37,596 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 13/138 +[2025-02-27 07:28:37,653 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 14/138 +[2025-02-27 07:28:37,713 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 15/138 +[2025-02-27 07:28:37,784 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 16/138 +[2025-02-27 07:28:37,845 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 17/138 +[2025-02-27 07:28:37,930 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 18/138 +[2025-02-27 07:28:37,986 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 19/138 +[2025-02-27 07:28:38,013 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 20/138 +[2025-02-27 07:28:38,048 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 21/138 +[2025-02-27 07:28:38,091 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 22/138 +[2025-02-27 07:28:38,134 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 23/138 +[2025-02-27 07:28:38,206 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 24/138 +[2025-02-27 07:28:38,246 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 25/138 +[2025-02-27 07:28:38,276 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 26/138 +[2025-02-27 07:28:38,301 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 27/138 +[2025-02-27 07:28:38,327 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 28/138 +[2025-02-27 07:28:38,355 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 29/138 +[2025-02-27 07:28:38,420 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 30/138 +[2025-02-27 07:28:38,466 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 31/138 +[2025-02-27 07:28:38,491 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 32/138 +[2025-02-27 07:28:38,514 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 33/138 +[2025-02-27 07:28:38,537 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 34/138 +[2025-02-27 07:28:38,562 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 35/138 +[2025-02-27 07:28:38,611 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 36/138 +[2025-02-27 07:28:38,636 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 37/138 +[2025-02-27 07:28:38,660 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 38/138 +[2025-02-27 07:28:38,683 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 39/138 +[2025-02-27 07:28:38,706 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 40/138 +[2025-02-27 07:28:38,729 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 41/138 +[2025-02-27 07:28:38,755 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 42/138 +[2025-02-27 07:28:38,778 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 43/138 +[2025-02-27 07:28:38,804 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 44/138 +[2025-02-27 07:28:38,826 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 45/138 +[2025-02-27 07:28:38,848 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 46/138 +[2025-02-27 07:28:38,870 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 47/138 +[2025-02-27 07:28:38,904 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 48/138 +[2025-02-27 07:28:38,936 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 49/138 +[2025-02-27 07:28:38,966 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 50/138 +[2025-02-27 07:28:38,995 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 51/138 +[2025-02-27 07:28:39,023 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 52/138 +[2025-02-27 07:28:39,046 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 53/138 +[2025-02-27 07:28:39,069 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 54/138 +[2025-02-27 07:28:39,091 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 55/138 +[2025-02-27 07:28:39,113 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 56/138 +[2025-02-27 07:28:39,140 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 57/138 +[2025-02-27 07:28:39,162 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 58/138 +[2025-02-27 07:28:39,185 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 59/138 +[2025-02-27 07:28:39,216 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 60/138 +[2025-02-27 07:28:39,238 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 61/138 +[2025-02-27 07:28:39,260 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 62/138 +[2025-02-27 07:28:39,283 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 63/138 +[2025-02-27 07:28:39,305 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 64/138 +[2025-02-27 07:28:39,328 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 65/138 +[2025-02-27 07:28:39,350 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 66/138 +[2025-02-27 07:28:39,372 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 67/138 +[2025-02-27 07:28:39,395 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 68/138 +[2025-02-27 07:28:39,417 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 69/138 +[2025-02-27 07:28:39,440 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 70/138 +[2025-02-27 07:28:39,463 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 71/138 +[2025-02-27 07:28:39,486 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 72/138 +[2025-02-27 07:28:39,508 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 73/138 +[2025-02-27 07:28:39,531 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 74/138 +[2025-02-27 07:28:39,554 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 75/138 +[2025-02-27 07:28:39,587 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 76/138 +[2025-02-27 07:28:39,611 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 77/138 +[2025-02-27 07:28:39,660 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 78/138 +[2025-02-27 07:28:39,683 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 79/138 +[2025-02-27 07:28:39,705 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 80/138 +[2025-02-27 07:28:39,728 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 81/138 +[2025-02-27 07:28:39,750 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 82/138 +[2025-02-27 07:28:39,779 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 83/138 +[2025-02-27 07:28:39,810 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 84/138 +[2025-02-27 07:28:39,840 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 85/138 +[2025-02-27 07:28:39,870 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 86/138 +[2025-02-27 07:28:39,897 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 87/138 +[2025-02-27 07:28:39,928 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 88/138 +[2025-02-27 07:28:39,958 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 89/138 +[2025-02-27 07:28:39,990 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 90/138 +[2025-02-27 07:28:40,018 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 91/138 +[2025-02-27 07:28:40,058 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 92/138 +[2025-02-27 07:28:40,085 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 93/138 +[2025-02-27 07:28:40,110 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 94/138 +[2025-02-27 07:28:40,134 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 95/138 +[2025-02-27 07:28:40,159 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 96/138 +[2025-02-27 07:28:40,183 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 97/138 +[2025-02-27 07:28:40,208 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 98/138 +[2025-02-27 07:28:40,241 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 99/138 +[2025-02-27 07:28:40,272 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 100/138 +[2025-02-27 07:28:40,296 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 101/138 +[2025-02-27 07:28:40,334 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 102/138 +[2025-02-27 07:28:40,365 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 103/138 +[2025-02-27 07:28:40,394 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 104/138 +[2025-02-27 07:28:40,418 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 105/138 +[2025-02-27 07:28:40,443 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 106/138 +[2025-02-27 07:28:40,468 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 107/138 +[2025-02-27 07:28:40,492 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 108/138 +[2025-02-27 07:28:40,517 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 109/138 +[2025-02-27 07:28:40,541 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 110/138 +[2025-02-27 07:28:40,571 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 111/138 +[2025-02-27 07:28:40,594 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 112/138 +[2025-02-27 07:28:40,618 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 113/138 +[2025-02-27 07:28:40,642 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 114/138 +[2025-02-27 07:28:40,666 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 115/138 +[2025-02-27 07:28:40,689 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 116/138 +[2025-02-27 07:28:40,714 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 117/138 +[2025-02-27 07:28:40,738 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 118/138 +[2025-02-27 07:28:40,762 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 119/138 +[2025-02-27 07:28:40,786 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 120/138 +[2025-02-27 07:28:40,813 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 121/138 +[2025-02-27 07:28:40,837 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 122/138 +[2025-02-27 07:28:40,861 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 123/138 +[2025-02-27 07:28:40,886 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 124/138 +[2025-02-27 07:28:40,911 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 125/138 +[2025-02-27 07:28:40,938 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 126/138 +[2025-02-27 07:28:40,964 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 127/138 +[2025-02-27 07:28:40,987 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 128/138 +[2025-02-27 07:28:41,010 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 129/138 +[2025-02-27 07:28:41,033 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 130/138 +[2025-02-27 07:28:41,087 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 131/138 +[2025-02-27 07:28:41,116 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 132/138 +[2025-02-27 07:28:41,148 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 133/138 +[2025-02-27 07:28:41,179 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 134/138 +[2025-02-27 07:28:41,204 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 135/138 +[2025-02-27 07:28:41,228 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 136/138 +[2025-02-27 07:28:41,252 INFO test.py line 201 1688082] Test: 50/78-scene0426_03, Batch: 137/138 +[2025-02-27 07:28:41,359 INFO test.py line 289 1688082] Test: scene0426_03 [50/78]-126181 Batch 5.146 (5.294) Accuracy 0.8811 (0.7053) mIoU 0.3840 (0.6146) +[2025-02-27 07:28:41,390 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 0/121 +[2025-02-27 07:28:41,415 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 1/121 +[2025-02-27 07:28:41,441 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 2/121 +[2025-02-27 07:28:41,466 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 3/121 +[2025-02-27 07:28:41,491 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 4/121 +[2025-02-27 07:28:41,516 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 5/121 +[2025-02-27 07:28:41,541 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 6/121 +[2025-02-27 07:28:41,566 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 7/121 +[2025-02-27 07:28:41,591 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 8/121 +[2025-02-27 07:28:41,616 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 9/121 +[2025-02-27 07:28:41,641 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 10/121 +[2025-02-27 07:28:41,665 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 11/121 +[2025-02-27 07:28:41,691 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 12/121 +[2025-02-27 07:28:41,716 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 13/121 +[2025-02-27 07:28:41,740 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 14/121 +[2025-02-27 07:28:41,765 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 15/121 +[2025-02-27 07:28:41,790 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 16/121 +[2025-02-27 07:28:41,815 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 17/121 +[2025-02-27 07:28:41,840 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 18/121 +[2025-02-27 07:28:41,865 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 19/121 +[2025-02-27 07:28:41,889 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 20/121 +[2025-02-27 07:28:41,914 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 21/121 +[2025-02-27 07:28:41,938 INFO 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07:28:46,621 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 94/121 +[2025-02-27 07:28:46,744 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 95/121 +[2025-02-27 07:28:46,852 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 96/121 +[2025-02-27 07:28:46,962 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 97/121 +[2025-02-27 07:28:47,100 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 98/121 +[2025-02-27 07:28:47,225 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 99/121 +[2025-02-27 07:28:47,355 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 100/121 +[2025-02-27 07:28:47,474 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 101/121 +[2025-02-27 07:28:47,591 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 102/121 +[2025-02-27 07:28:47,689 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 103/121 +[2025-02-27 07:28:47,793 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 104/121 +[2025-02-27 07:28:47,974 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 105/121 +[2025-02-27 07:28:48,102 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 106/121 +[2025-02-27 07:28:48,202 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 107/121 +[2025-02-27 07:28:48,337 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 108/121 +[2025-02-27 07:28:48,441 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 109/121 +[2025-02-27 07:28:48,548 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 110/121 +[2025-02-27 07:28:48,658 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 111/121 +[2025-02-27 07:28:48,777 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 112/121 +[2025-02-27 07:28:48,890 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 113/121 +[2025-02-27 07:28:48,984 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 114/121 +[2025-02-27 07:28:49,113 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 115/121 +[2025-02-27 07:28:49,205 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 116/121 +[2025-02-27 07:28:49,322 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 117/121 +[2025-02-27 07:28:49,437 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 118/121 +[2025-02-27 07:28:49,536 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 119/121 +[2025-02-27 07:28:49,632 INFO test.py line 201 1688082] Test: 51/78-scene0256_00, Batch: 120/121 +[2025-02-27 07:28:49,852 INFO test.py line 289 1688082] Test: scene0256_00 [51/78]-108517 Batch 8.493 (5.356) Accuracy 0.8026 (0.7126) mIoU 0.3040 (0.6220) +[2025-02-27 07:28:49,990 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 0/139 +[2025-02-27 07:28:50,130 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 1/139 +[2025-02-27 07:28:50,219 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 2/139 +[2025-02-27 07:28:50,312 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 3/139 +[2025-02-27 07:28:50,409 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 4/139 +[2025-02-27 07:28:50,514 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 5/139 +[2025-02-27 07:28:50,619 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 6/139 +[2025-02-27 07:28:50,732 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 7/139 +[2025-02-27 07:28:50,831 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 8/139 +[2025-02-27 07:28:50,949 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 9/139 +[2025-02-27 07:28:51,051 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 10/139 +[2025-02-27 07:28:51,173 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 11/139 +[2025-02-27 07:28:51,266 INFO test.py line 201 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+[2025-02-27 07:28:56,081 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 125/139 +[2025-02-27 07:28:56,113 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 126/139 +[2025-02-27 07:28:56,144 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 127/139 +[2025-02-27 07:28:56,173 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 128/139 +[2025-02-27 07:28:56,205 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 129/139 +[2025-02-27 07:28:56,246 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 130/139 +[2025-02-27 07:28:56,276 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 131/139 +[2025-02-27 07:28:56,307 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 132/139 +[2025-02-27 07:28:56,338 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 133/139 +[2025-02-27 07:28:56,372 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 134/139 +[2025-02-27 07:28:56,402 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 135/139 +[2025-02-27 07:28:56,432 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 136/139 +[2025-02-27 07:28:56,466 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 137/139 +[2025-02-27 07:28:56,498 INFO test.py line 201 1688082] Test: 52/78-scene0221_00, Batch: 138/139 +[2025-02-27 07:28:56,660 INFO test.py line 289 1688082] Test: scene0221_00 [52/78]-185828 Batch 6.806 (5.384) Accuracy 0.8377 (0.7133) mIoU 0.4088 (0.6220) +[2025-02-27 07:28:56,686 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 0/155 +[2025-02-27 07:28:56,705 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 1/155 +[2025-02-27 07:28:56,727 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 2/155 +[2025-02-27 07:28:56,747 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 3/155 +[2025-02-27 07:28:56,768 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:28:56,991 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 15/155 +[2025-02-27 07:28:57,011 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 16/155 +[2025-02-27 07:28:57,032 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 17/155 +[2025-02-27 07:28:57,051 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 18/155 +[2025-02-27 07:28:57,071 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 19/155 +[2025-02-27 07:28:57,091 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 20/155 +[2025-02-27 07:28:57,110 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 21/155 +[2025-02-27 07:28:57,129 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 22/155 +[2025-02-27 07:28:57,148 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 23/155 +[2025-02-27 07:28:57,168 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 24/155 +[2025-02-27 07:28:57,186 INFO 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+[2025-02-27 07:29:00,122 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 148/155 +[2025-02-27 07:29:00,141 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 149/155 +[2025-02-27 07:29:00,161 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 150/155 +[2025-02-27 07:29:00,180 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 151/155 +[2025-02-27 07:29:00,199 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 152/155 +[2025-02-27 07:29:00,217 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 153/155 +[2025-02-27 07:29:00,242 INFO test.py line 201 1688082] Test: 53/78-scene0146_01, Batch: 154/155 +[2025-02-27 07:29:00,305 INFO test.py line 289 1688082] Test: scene0146_01 [53/78]-59330 Batch 3.644 (5.351) Accuracy 0.9287 (0.7140) mIoU 0.3537 (0.6229) +[2025-02-27 07:29:00,335 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 0/155 +[2025-02-27 07:29:00,363 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:29:00,694 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 12/155 +[2025-02-27 07:29:00,721 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 13/155 +[2025-02-27 07:29:00,748 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 14/155 +[2025-02-27 07:29:00,775 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 15/155 +[2025-02-27 07:29:00,807 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 16/155 +[2025-02-27 07:29:00,835 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 17/155 +[2025-02-27 07:29:00,868 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 18/155 +[2025-02-27 07:29:00,904 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 19/155 +[2025-02-27 07:29:00,936 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 20/155 +[2025-02-27 07:29:00,972 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 21/155 +[2025-02-27 07:29:00,999 INFO 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line 201 1688082] Test: 54/78-scene0697_03, Batch: 104/155 +[2025-02-27 07:29:03,898 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 105/155 +[2025-02-27 07:29:03,936 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 106/155 +[2025-02-27 07:29:03,974 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 107/155 +[2025-02-27 07:29:04,023 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 108/155 +[2025-02-27 07:29:04,063 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 109/155 +[2025-02-27 07:29:04,096 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 110/155 +[2025-02-27 07:29:04,136 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 111/155 +[2025-02-27 07:29:04,167 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 112/155 +[2025-02-27 07:29:04,199 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 113/155 +[2025-02-27 07:29:04,230 INFO test.py line 201 1688082] 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+[2025-02-27 07:29:05,275 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 145/155 +[2025-02-27 07:29:05,307 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 146/155 +[2025-02-27 07:29:05,341 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 147/155 +[2025-02-27 07:29:05,375 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 148/155 +[2025-02-27 07:29:05,408 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 149/155 +[2025-02-27 07:29:05,440 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 150/155 +[2025-02-27 07:29:05,485 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 151/155 +[2025-02-27 07:29:05,525 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 152/155 +[2025-02-27 07:29:05,563 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 153/155 +[2025-02-27 07:29:05,606 INFO test.py line 201 1688082] Test: 54/78-scene0697_03, Batch: 154/155 +[2025-02-27 07:29:05,792 INFO test.py line 289 1688082] Test: scene0697_03 [54/78]-165912 Batch 5.487 (5.354) Accuracy 0.7063 (0.7111) mIoU 0.1546 (0.6201) +[2025-02-27 07:29:05,830 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 0/126 +[2025-02-27 07:29:05,862 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 1/126 +[2025-02-27 07:29:05,902 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 2/126 +[2025-02-27 07:29:05,944 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 3/126 +[2025-02-27 07:29:05,990 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 4/126 +[2025-02-27 07:29:06,023 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 5/126 +[2025-02-27 07:29:06,072 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 6/126 +[2025-02-27 07:29:06,100 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 7/126 +[2025-02-27 07:29:06,132 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, 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07:29:06,470 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 19/126 +[2025-02-27 07:29:06,500 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 20/126 +[2025-02-27 07:29:06,529 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 21/126 +[2025-02-27 07:29:06,565 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 22/126 +[2025-02-27 07:29:06,594 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 23/126 +[2025-02-27 07:29:06,623 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 24/126 +[2025-02-27 07:29:06,650 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 25/126 +[2025-02-27 07:29:06,678 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 26/126 +[2025-02-27 07:29:06,717 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 27/126 +[2025-02-27 07:29:06,746 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 28/126 +[2025-02-27 07:29:06,774 INFO test.py line 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07:29:09,011 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 101/126 +[2025-02-27 07:29:09,041 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 102/126 +[2025-02-27 07:29:09,068 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 103/126 +[2025-02-27 07:29:09,102 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 104/126 +[2025-02-27 07:29:09,131 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 105/126 +[2025-02-27 07:29:09,177 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 106/126 +[2025-02-27 07:29:09,211 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 107/126 +[2025-02-27 07:29:09,246 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 108/126 +[2025-02-27 07:29:09,281 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 109/126 +[2025-02-27 07:29:09,315 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 110/126 +[2025-02-27 07:29:09,351 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 111/126 +[2025-02-27 07:29:09,385 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 112/126 +[2025-02-27 07:29:09,417 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 113/126 +[2025-02-27 07:29:09,458 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 114/126 +[2025-02-27 07:29:09,494 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 115/126 +[2025-02-27 07:29:09,532 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 116/126 +[2025-02-27 07:29:09,574 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 117/126 +[2025-02-27 07:29:09,618 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 118/126 +[2025-02-27 07:29:09,659 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 119/126 +[2025-02-27 07:29:09,690 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 120/126 +[2025-02-27 07:29:09,724 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 121/126 +[2025-02-27 07:29:09,758 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 122/126 +[2025-02-27 07:29:09,801 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 123/126 +[2025-02-27 07:29:09,837 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 124/126 +[2025-02-27 07:29:09,873 INFO test.py line 201 1688082] Test: 55/78-scene0655_02, Batch: 125/126 +[2025-02-27 07:29:10,046 INFO test.py line 289 1688082] Test: scene0655_02 [55/78]-133857 Batch 4.253 (5.334) Accuracy 0.9894 (0.7117) mIoU 0.4902 (0.6209) +[2025-02-27 07:29:10,076 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 0/138 +[2025-02-27 07:29:10,101 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 1/138 +[2025-02-27 07:29:10,129 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 2/138 +[2025-02-27 07:29:10,154 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 3/138 +[2025-02-27 07:29:10,191 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 4/138 +[2025-02-27 07:29:10,218 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 5/138 +[2025-02-27 07:29:10,244 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 6/138 +[2025-02-27 07:29:10,270 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 7/138 +[2025-02-27 07:29:10,296 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 8/138 +[2025-02-27 07:29:10,322 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 9/138 +[2025-02-27 07:29:10,350 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 10/138 +[2025-02-27 07:29:10,389 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 11/138 +[2025-02-27 07:29:10,415 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 12/138 +[2025-02-27 07:29:10,440 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 13/138 +[2025-02-27 07:29:10,465 INFO test.py line 201 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07:29:11,401 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 45/138 +[2025-02-27 07:29:11,436 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 46/138 +[2025-02-27 07:29:11,473 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 47/138 +[2025-02-27 07:29:11,501 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 48/138 +[2025-02-27 07:29:11,528 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 49/138 +[2025-02-27 07:29:11,556 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 50/138 +[2025-02-27 07:29:11,582 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 51/138 +[2025-02-27 07:29:11,610 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 52/138 +[2025-02-27 07:29:11,655 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 53/138 +[2025-02-27 07:29:11,680 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 54/138 +[2025-02-27 07:29:11,712 INFO test.py line 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+[2025-02-27 07:29:13,669 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 127/138 +[2025-02-27 07:29:13,696 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 128/138 +[2025-02-27 07:29:13,722 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 129/138 +[2025-02-27 07:29:13,747 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 130/138 +[2025-02-27 07:29:13,771 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 131/138 +[2025-02-27 07:29:13,797 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 132/138 +[2025-02-27 07:29:13,821 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 133/138 +[2025-02-27 07:29:13,846 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 134/138 +[2025-02-27 07:29:13,872 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 135/138 +[2025-02-27 07:29:13,896 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 136/138 +[2025-02-27 07:29:13,922 INFO test.py line 201 1688082] Test: 56/78-scene0553_02, Batch: 137/138 +[2025-02-27 07:29:14,017 INFO test.py line 289 1688082] Test: scene0553_02 [56/78]-67632 Batch 3.970 (5.310) Accuracy 0.9744 (0.7128) mIoU 0.4199 (0.6223) +[2025-02-27 07:29:14,069 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 0/143 +[2025-02-27 07:29:14,108 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 1/143 +[2025-02-27 07:29:14,145 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 2/143 +[2025-02-27 07:29:14,186 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 3/143 +[2025-02-27 07:29:14,219 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 4/143 +[2025-02-27 07:29:14,251 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 5/143 +[2025-02-27 07:29:14,286 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 6/143 +[2025-02-27 07:29:14,317 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, 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07:29:16,312 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 59/143 +[2025-02-27 07:29:16,357 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 60/143 +[2025-02-27 07:29:16,402 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 61/143 +[2025-02-27 07:29:16,438 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 62/143 +[2025-02-27 07:29:16,469 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 63/143 +[2025-02-27 07:29:16,501 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 64/143 +[2025-02-27 07:29:16,534 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 65/143 +[2025-02-27 07:29:16,566 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 66/143 +[2025-02-27 07:29:16,597 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 67/143 +[2025-02-27 07:29:16,628 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 68/143 +[2025-02-27 07:29:16,660 INFO test.py line 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07:29:17,708 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 100/143 +[2025-02-27 07:29:17,742 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 101/143 +[2025-02-27 07:29:17,776 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 102/143 +[2025-02-27 07:29:17,811 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 103/143 +[2025-02-27 07:29:17,844 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 104/143 +[2025-02-27 07:29:17,877 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 105/143 +[2025-02-27 07:29:17,911 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 106/143 +[2025-02-27 07:29:17,944 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 107/143 +[2025-02-27 07:29:17,986 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 108/143 +[2025-02-27 07:29:18,038 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 109/143 +[2025-02-27 07:29:18,080 INFO 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Batch: 140/143 +[2025-02-27 07:29:19,314 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 141/143 +[2025-02-27 07:29:19,371 INFO test.py line 201 1688082] Test: 57/78-scene0025_00, Batch: 142/143 +[2025-02-27 07:29:19,754 INFO test.py line 289 1688082] Test: scene0025_00 [57/78]-173392 Batch 5.737 (5.317) Accuracy 0.8708 (0.7139) mIoU 0.5159 (0.6239) +[2025-02-27 07:29:19,792 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 0/108 +[2025-02-27 07:29:19,838 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 1/108 +[2025-02-27 07:29:19,874 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 2/108 +[2025-02-27 07:29:19,905 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 3/108 +[2025-02-27 07:29:19,932 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 4/108 +[2025-02-27 07:29:19,957 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 5/108 +[2025-02-27 07:29:19,991 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 6/108 +[2025-02-27 07:29:20,030 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 7/108 +[2025-02-27 07:29:20,054 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 8/108 +[2025-02-27 07:29:20,078 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 9/108 +[2025-02-27 07:29:20,102 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 10/108 +[2025-02-27 07:29:20,126 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 11/108 +[2025-02-27 07:29:20,160 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 12/108 +[2025-02-27 07:29:20,184 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 13/108 +[2025-02-27 07:29:20,208 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 14/108 +[2025-02-27 07:29:20,232 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 15/108 +[2025-02-27 07:29:20,273 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 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07:29:20,549 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 27/108 +[2025-02-27 07:29:20,573 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 28/108 +[2025-02-27 07:29:20,622 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 29/108 +[2025-02-27 07:29:20,674 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 30/108 +[2025-02-27 07:29:20,698 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 31/108 +[2025-02-27 07:29:20,722 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 32/108 +[2025-02-27 07:29:20,745 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 33/108 +[2025-02-27 07:29:20,770 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 34/108 +[2025-02-27 07:29:20,795 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 35/108 +[2025-02-27 07:29:20,820 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 36/108 +[2025-02-27 07:29:20,846 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 37/108 +[2025-02-27 07:29:20,871 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 38/108 +[2025-02-27 07:29:20,896 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 39/108 +[2025-02-27 07:29:20,924 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 40/108 +[2025-02-27 07:29:20,948 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 41/108 +[2025-02-27 07:29:20,972 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 42/108 +[2025-02-27 07:29:20,996 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 43/108 +[2025-02-27 07:29:21,023 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 44/108 +[2025-02-27 07:29:21,048 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 45/108 +[2025-02-27 07:29:21,069 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 46/108 +[2025-02-27 07:29:21,095 INFO test.py line 201 1688082] Test: 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07:29:21,679 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 68/108 +[2025-02-27 07:29:21,701 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 69/108 +[2025-02-27 07:29:21,727 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 70/108 +[2025-02-27 07:29:21,751 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 71/108 +[2025-02-27 07:29:21,778 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 72/108 +[2025-02-27 07:29:21,804 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 73/108 +[2025-02-27 07:29:21,828 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 74/108 +[2025-02-27 07:29:21,855 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 75/108 +[2025-02-27 07:29:21,878 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 76/108 +[2025-02-27 07:29:21,902 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 77/108 +[2025-02-27 07:29:21,927 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 78/108 +[2025-02-27 07:29:21,951 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 79/108 +[2025-02-27 07:29:21,980 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 80/108 +[2025-02-27 07:29:22,002 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 81/108 +[2025-02-27 07:29:22,027 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 82/108 +[2025-02-27 07:29:22,050 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 83/108 +[2025-02-27 07:29:22,072 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 84/108 +[2025-02-27 07:29:22,096 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 85/108 +[2025-02-27 07:29:22,119 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 86/108 +[2025-02-27 07:29:22,143 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 87/108 +[2025-02-27 07:29:22,166 INFO test.py line 201 1688082] Test: 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98/108 +[2025-02-27 07:29:22,429 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 99/108 +[2025-02-27 07:29:22,454 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 100/108 +[2025-02-27 07:29:22,480 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 101/108 +[2025-02-27 07:29:22,503 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 102/108 +[2025-02-27 07:29:22,527 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 103/108 +[2025-02-27 07:29:22,551 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 104/108 +[2025-02-27 07:29:22,575 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 105/108 +[2025-02-27 07:29:22,600 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 106/108 +[2025-02-27 07:29:22,624 INFO test.py line 201 1688082] Test: 58/78-scene0693_02, Batch: 107/108 +[2025-02-27 07:29:22,681 INFO test.py line 289 1688082] Test: scene0693_02 [58/78]-47996 Batch 2.926 (5.276) Accuracy 0.8693 (0.7143) mIoU 0.3908 (0.6240) +[2025-02-27 07:29:22,729 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 0/138 +[2025-02-27 07:29:22,778 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 1/138 +[2025-02-27 07:29:22,819 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 2/138 +[2025-02-27 07:29:22,860 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 3/138 +[2025-02-27 07:29:22,898 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 4/138 +[2025-02-27 07:29:22,937 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 5/138 +[2025-02-27 07:29:22,975 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 6/138 +[2025-02-27 07:29:23,018 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 7/138 +[2025-02-27 07:29:23,065 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 8/138 +[2025-02-27 07:29:23,106 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 9/138 +[2025-02-27 07:29:23,145 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 10/138 +[2025-02-27 07:29:23,187 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 11/138 +[2025-02-27 07:29:23,227 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 12/138 +[2025-02-27 07:29:23,267 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 13/138 +[2025-02-27 07:29:23,307 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 14/138 +[2025-02-27 07:29:23,346 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 15/138 +[2025-02-27 07:29:23,385 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 16/138 +[2025-02-27 07:29:23,423 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 17/138 +[2025-02-27 07:29:23,462 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 18/138 +[2025-02-27 07:29:23,499 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 19/138 +[2025-02-27 07:29:23,537 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 20/138 +[2025-02-27 07:29:23,574 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 21/138 +[2025-02-27 07:29:23,614 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 22/138 +[2025-02-27 07:29:23,669 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 23/138 +[2025-02-27 07:29:23,723 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 24/138 +[2025-02-27 07:29:23,776 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 25/138 +[2025-02-27 07:29:23,827 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 26/138 +[2025-02-27 07:29:23,879 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 27/138 +[2025-02-27 07:29:23,939 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 28/138 +[2025-02-27 07:29:24,000 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 29/138 +[2025-02-27 07:29:24,050 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 30/138 +[2025-02-27 07:29:24,106 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 31/138 +[2025-02-27 07:29:24,162 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 32/138 +[2025-02-27 07:29:24,221 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 33/138 +[2025-02-27 07:29:24,272 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 34/138 +[2025-02-27 07:29:24,323 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 35/138 +[2025-02-27 07:29:24,385 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 36/138 +[2025-02-27 07:29:24,438 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 37/138 +[2025-02-27 07:29:24,498 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 38/138 +[2025-02-27 07:29:24,552 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 39/138 +[2025-02-27 07:29:24,598 INFO test.py line 201 1688082] Test: 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07:29:25,544 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 61/138 +[2025-02-27 07:29:25,581 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 62/138 +[2025-02-27 07:29:25,618 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 63/138 +[2025-02-27 07:29:25,656 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 64/138 +[2025-02-27 07:29:25,694 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 65/138 +[2025-02-27 07:29:25,731 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 66/138 +[2025-02-27 07:29:25,768 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 67/138 +[2025-02-27 07:29:25,806 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 68/138 +[2025-02-27 07:29:25,845 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 69/138 +[2025-02-27 07:29:25,882 INFO test.py line 201 1688082] Test: 59/78-scene0665_00, Batch: 70/138 +[2025-02-27 07:29:25,920 INFO test.py line 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+[2025-02-27 07:29:33,675 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 116/148 +[2025-02-27 07:29:33,718 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 117/148 +[2025-02-27 07:29:33,752 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 118/148 +[2025-02-27 07:29:33,786 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 119/148 +[2025-02-27 07:29:33,830 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 120/148 +[2025-02-27 07:29:33,864 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 121/148 +[2025-02-27 07:29:33,898 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 122/148 +[2025-02-27 07:29:33,933 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 123/148 +[2025-02-27 07:29:33,967 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 124/148 +[2025-02-27 07:29:34,007 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 125/148 +[2025-02-27 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1688082] Test: 60/78-scene0647_01, Batch: 146/148 +[2025-02-27 07:29:34,819 INFO test.py line 201 1688082] Test: 60/78-scene0647_01, Batch: 147/148 +[2025-02-27 07:29:35,047 INFO test.py line 289 1688082] Test: scene0647_01 [60/78]-194360 Batch 5.879 (5.306) Accuracy 0.8963 (0.7125) mIoU 0.3331 (0.6233) +[2025-02-27 07:29:35,077 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 0/134 +[2025-02-27 07:29:35,106 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 1/134 +[2025-02-27 07:29:35,131 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 2/134 +[2025-02-27 07:29:35,158 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 3/134 +[2025-02-27 07:29:35,186 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 4/134 +[2025-02-27 07:29:35,212 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 5/134 +[2025-02-27 07:29:35,237 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 6/134 +[2025-02-27 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Batch: 119/134 +[2025-02-27 07:29:39,580 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 120/134 +[2025-02-27 07:29:39,617 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 121/134 +[2025-02-27 07:29:39,653 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 122/134 +[2025-02-27 07:29:39,687 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 123/134 +[2025-02-27 07:29:39,728 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 124/134 +[2025-02-27 07:29:39,760 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 125/134 +[2025-02-27 07:29:39,796 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 126/134 +[2025-02-27 07:29:39,832 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 127/134 +[2025-02-27 07:29:39,869 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 128/134 +[2025-02-27 07:29:39,913 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 129/134 +[2025-02-27 07:29:39,950 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 130/134 +[2025-02-27 07:29:39,986 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 131/134 +[2025-02-27 07:29:40,024 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 132/134 +[2025-02-27 07:29:40,058 INFO test.py line 201 1688082] Test: 61/78-scene0558_00, Batch: 133/134 +[2025-02-27 07:29:40,172 INFO test.py line 289 1688082] Test: scene0558_00 [61/78]-92953 Batch 5.124 (5.303) Accuracy 0.8762 (0.7126) mIoU 0.3424 (0.6232) +[2025-02-27 07:29:40,204 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 0/139 +[2025-02-27 07:29:40,236 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 1/139 +[2025-02-27 07:29:40,267 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 2/139 +[2025-02-27 07:29:40,300 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 3/139 +[2025-02-27 07:29:40,326 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:29:40,642 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 15/139 +[2025-02-27 07:29:40,670 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 16/139 +[2025-02-27 07:29:40,709 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 17/139 +[2025-02-27 07:29:40,736 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 18/139 +[2025-02-27 07:29:40,763 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 19/139 +[2025-02-27 07:29:40,789 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 20/139 +[2025-02-27 07:29:40,818 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 21/139 +[2025-02-27 07:29:40,849 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 22/139 +[2025-02-27 07:29:40,890 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 23/139 +[2025-02-27 07:29:40,921 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 24/139 +[2025-02-27 07:29:40,955 INFO 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07:29:41,919 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 56/139 +[2025-02-27 07:29:41,956 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 57/139 +[2025-02-27 07:29:41,999 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 58/139 +[2025-02-27 07:29:42,042 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 59/139 +[2025-02-27 07:29:42,082 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 60/139 +[2025-02-27 07:29:42,115 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 61/139 +[2025-02-27 07:29:42,142 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 62/139 +[2025-02-27 07:29:42,169 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 63/139 +[2025-02-27 07:29:42,196 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 64/139 +[2025-02-27 07:29:42,222 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 65/139 +[2025-02-27 07:29:42,248 INFO test.py line 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07:29:43,261 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 97/139 +[2025-02-27 07:29:43,315 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 98/139 +[2025-02-27 07:29:43,391 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 99/139 +[2025-02-27 07:29:43,447 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 100/139 +[2025-02-27 07:29:43,505 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 101/139 +[2025-02-27 07:29:43,561 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 102/139 +[2025-02-27 07:29:43,614 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 103/139 +[2025-02-27 07:29:43,668 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 104/139 +[2025-02-27 07:29:43,718 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 105/139 +[2025-02-27 07:29:43,770 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 106/139 +[2025-02-27 07:29:43,824 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 107/139 +[2025-02-27 07:29:43,862 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 108/139 +[2025-02-27 07:29:43,902 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 109/139 +[2025-02-27 07:29:43,941 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 110/139 +[2025-02-27 07:29:43,976 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 111/139 +[2025-02-27 07:29:44,003 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 112/139 +[2025-02-27 07:29:44,032 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 113/139 +[2025-02-27 07:29:44,061 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 114/139 +[2025-02-27 07:29:44,090 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 115/139 +[2025-02-27 07:29:44,120 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 116/139 +[2025-02-27 07:29:44,149 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 117/139 +[2025-02-27 07:29:44,179 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 118/139 +[2025-02-27 07:29:44,208 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 119/139 +[2025-02-27 07:29:44,238 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 120/139 +[2025-02-27 07:29:44,270 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 121/139 +[2025-02-27 07:29:44,316 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 122/139 +[2025-02-27 07:29:44,343 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 123/139 +[2025-02-27 07:29:44,372 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 124/139 +[2025-02-27 07:29:44,403 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 125/139 +[2025-02-27 07:29:44,461 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 126/139 +[2025-02-27 07:29:44,503 INFO test.py line 201 1688082] Test: 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Batch: 137/139 +[2025-02-27 07:29:44,912 INFO test.py line 201 1688082] Test: 62/78-scene0084_02, Batch: 138/139 +[2025-02-27 07:29:45,025 INFO test.py line 289 1688082] Test: scene0084_02 [62/78]-98346 Batch 4.853 (5.296) Accuracy 0.8768 (0.7071) mIoU 0.3955 (0.6182) +[2025-02-27 07:29:45,076 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 0/143 +[2025-02-27 07:29:45,112 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 1/143 +[2025-02-27 07:29:45,149 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 2/143 +[2025-02-27 07:29:45,189 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 3/143 +[2025-02-27 07:29:45,252 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 4/143 +[2025-02-27 07:29:45,290 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 5/143 +[2025-02-27 07:29:45,328 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 6/143 +[2025-02-27 07:29:45,366 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 7/143 +[2025-02-27 07:29:45,403 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 8/143 +[2025-02-27 07:29:45,440 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 9/143 +[2025-02-27 07:29:45,478 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 10/143 +[2025-02-27 07:29:45,515 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 11/143 +[2025-02-27 07:29:45,553 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 12/143 +[2025-02-27 07:29:45,590 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 13/143 +[2025-02-27 07:29:45,627 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 14/143 +[2025-02-27 07:29:45,663 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 15/143 +[2025-02-27 07:29:45,701 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 16/143 +[2025-02-27 07:29:45,751 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 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07:29:46,156 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 28/143 +[2025-02-27 07:29:46,194 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 29/143 +[2025-02-27 07:29:46,230 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 30/143 +[2025-02-27 07:29:46,268 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 31/143 +[2025-02-27 07:29:46,311 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 32/143 +[2025-02-27 07:29:46,357 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 33/143 +[2025-02-27 07:29:46,412 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 34/143 +[2025-02-27 07:29:46,466 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 35/143 +[2025-02-27 07:29:46,518 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 36/143 +[2025-02-27 07:29:46,561 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 37/143 +[2025-02-27 07:29:46,620 INFO test.py line 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07:29:48,032 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 69/143 +[2025-02-27 07:29:48,068 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 70/143 +[2025-02-27 07:29:48,104 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 71/143 +[2025-02-27 07:29:48,139 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 72/143 +[2025-02-27 07:29:48,174 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 73/143 +[2025-02-27 07:29:48,209 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 74/143 +[2025-02-27 07:29:48,245 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 75/143 +[2025-02-27 07:29:48,283 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 76/143 +[2025-02-27 07:29:48,318 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 77/143 +[2025-02-27 07:29:48,356 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 78/143 +[2025-02-27 07:29:48,390 INFO test.py line 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07:29:49,723 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 110/143 +[2025-02-27 07:29:49,762 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 111/143 +[2025-02-27 07:29:49,806 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 112/143 +[2025-02-27 07:29:49,844 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 113/143 +[2025-02-27 07:29:49,883 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 114/143 +[2025-02-27 07:29:49,920 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 115/143 +[2025-02-27 07:29:49,957 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 116/143 +[2025-02-27 07:29:49,995 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 117/143 +[2025-02-27 07:29:50,034 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 118/143 +[2025-02-27 07:29:50,072 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 119/143 +[2025-02-27 07:29:50,110 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 120/143 +[2025-02-27 07:29:50,149 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 121/143 +[2025-02-27 07:29:50,187 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 122/143 +[2025-02-27 07:29:50,224 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 123/143 +[2025-02-27 07:29:50,261 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 124/143 +[2025-02-27 07:29:50,299 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 125/143 +[2025-02-27 07:29:50,335 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 126/143 +[2025-02-27 07:29:50,372 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 127/143 +[2025-02-27 07:29:50,409 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 128/143 +[2025-02-27 07:29:50,448 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 129/143 +[2025-02-27 07:29:50,487 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 130/143 +[2025-02-27 07:29:50,526 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 131/143 +[2025-02-27 07:29:50,561 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 132/143 +[2025-02-27 07:29:50,597 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 133/143 +[2025-02-27 07:29:50,631 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 134/143 +[2025-02-27 07:29:50,667 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 135/143 +[2025-02-27 07:29:50,704 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 136/143 +[2025-02-27 07:29:50,745 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 137/143 +[2025-02-27 07:29:50,781 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 138/143 +[2025-02-27 07:29:50,817 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 139/143 +[2025-02-27 07:29:50,853 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 140/143 +[2025-02-27 07:29:50,891 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 141/143 +[2025-02-27 07:29:50,928 INFO test.py line 201 1688082] Test: 63/78-scene0629_02, Batch: 142/143 +[2025-02-27 07:29:51,199 INFO test.py line 289 1688082] Test: scene0629_02 [63/78]-225983 Batch 6.173 (5.310) Accuracy 0.8297 (0.7057) mIoU 0.2477 (0.6142) +[2025-02-27 07:29:51,240 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 0/126 +[2025-02-27 07:29:51,276 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 1/126 +[2025-02-27 07:29:51,309 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 2/126 +[2025-02-27 07:29:51,343 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 3/126 +[2025-02-27 07:29:51,376 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 4/126 +[2025-02-27 07:29:51,407 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 5/126 +[2025-02-27 07:29:51,440 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 6/126 +[2025-02-27 07:29:51,472 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 7/126 +[2025-02-27 07:29:51,512 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 8/126 +[2025-02-27 07:29:51,544 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 9/126 +[2025-02-27 07:29:51,583 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 10/126 +[2025-02-27 07:29:51,616 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 11/126 +[2025-02-27 07:29:51,649 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 12/126 +[2025-02-27 07:29:51,683 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 13/126 +[2025-02-27 07:29:51,716 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 14/126 +[2025-02-27 07:29:51,749 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 15/126 +[2025-02-27 07:29:51,781 INFO test.py line 201 1688082] Test: 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07:29:52,505 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 37/126 +[2025-02-27 07:29:52,538 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 38/126 +[2025-02-27 07:29:52,570 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 39/126 +[2025-02-27 07:29:52,602 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 40/126 +[2025-02-27 07:29:52,634 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 41/126 +[2025-02-27 07:29:52,667 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 42/126 +[2025-02-27 07:29:52,711 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 43/126 +[2025-02-27 07:29:52,749 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 44/126 +[2025-02-27 07:29:52,795 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 45/126 +[2025-02-27 07:29:52,836 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 46/126 +[2025-02-27 07:29:52,883 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 47/126 +[2025-02-27 07:29:52,929 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 48/126 +[2025-02-27 07:29:52,971 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 49/126 +[2025-02-27 07:29:53,009 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 50/126 +[2025-02-27 07:29:53,051 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 51/126 +[2025-02-27 07:29:53,121 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 52/126 +[2025-02-27 07:29:53,161 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 53/126 +[2025-02-27 07:29:53,206 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 54/126 +[2025-02-27 07:29:53,252 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 55/126 +[2025-02-27 07:29:53,294 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 56/126 +[2025-02-27 07:29:53,337 INFO test.py line 201 1688082] Test: 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07:29:54,020 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 78/126 +[2025-02-27 07:29:54,053 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 79/126 +[2025-02-27 07:29:54,083 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 80/126 +[2025-02-27 07:29:54,119 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 81/126 +[2025-02-27 07:29:54,161 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 82/126 +[2025-02-27 07:29:54,202 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 83/126 +[2025-02-27 07:29:54,239 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 84/126 +[2025-02-27 07:29:54,290 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 85/126 +[2025-02-27 07:29:54,328 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 86/126 +[2025-02-27 07:29:54,369 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 87/126 +[2025-02-27 07:29:54,407 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 88/126 +[2025-02-27 07:29:54,451 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 89/126 +[2025-02-27 07:29:54,504 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 90/126 +[2025-02-27 07:29:54,554 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 91/126 +[2025-02-27 07:29:54,597 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 92/126 +[2025-02-27 07:29:54,644 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 93/126 +[2025-02-27 07:29:54,690 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 94/126 +[2025-02-27 07:29:54,740 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 95/126 +[2025-02-27 07:29:54,789 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 96/126 +[2025-02-27 07:29:54,832 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 97/126 +[2025-02-27 07:29:54,878 INFO test.py line 201 1688082] Test: 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Batch: 108/126 +[2025-02-27 07:29:55,392 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 109/126 +[2025-02-27 07:29:55,433 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 110/126 +[2025-02-27 07:29:55,474 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 111/126 +[2025-02-27 07:29:55,525 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 112/126 +[2025-02-27 07:29:55,566 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 113/126 +[2025-02-27 07:29:55,599 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 114/126 +[2025-02-27 07:29:55,632 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 115/126 +[2025-02-27 07:29:55,665 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 116/126 +[2025-02-27 07:29:55,697 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 117/126 +[2025-02-27 07:29:55,728 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 118/126 +[2025-02-27 07:29:55,759 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 119/126 +[2025-02-27 07:29:55,792 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 120/126 +[2025-02-27 07:29:55,826 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 121/126 +[2025-02-27 07:29:55,856 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 122/126 +[2025-02-27 07:29:55,889 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 123/126 +[2025-02-27 07:29:55,921 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 124/126 +[2025-02-27 07:29:55,953 INFO test.py line 201 1688082] Test: 64/78-scene0474_04, Batch: 125/126 +[2025-02-27 07:29:56,165 INFO test.py line 289 1688082] Test: scene0474_04 [64/78]-178388 Batch 4.965 (5.304) Accuracy 0.7976 (0.7039) mIoU 0.3252 (0.6120) +[2025-02-27 07:29:56,195 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 0/108 +[2025-02-27 07:29:56,223 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 1/108 +[2025-02-27 07:29:56,260 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 2/108 +[2025-02-27 07:29:56,288 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 3/108 +[2025-02-27 07:29:56,315 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 4/108 +[2025-02-27 07:29:56,343 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 5/108 +[2025-02-27 07:29:56,368 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 6/108 +[2025-02-27 07:29:56,396 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 7/108 +[2025-02-27 07:29:56,422 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 8/108 +[2025-02-27 07:29:56,448 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 9/108 +[2025-02-27 07:29:56,475 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 10/108 +[2025-02-27 07:29:56,502 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 11/108 +[2025-02-27 07:29:56,532 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 12/108 +[2025-02-27 07:29:56,560 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 13/108 +[2025-02-27 07:29:56,586 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 14/108 +[2025-02-27 07:29:56,614 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 15/108 +[2025-02-27 07:29:56,645 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 16/108 +[2025-02-27 07:29:56,670 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 17/108 +[2025-02-27 07:29:56,696 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 18/108 +[2025-02-27 07:29:56,722 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 19/108 +[2025-02-27 07:29:56,750 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 20/108 +[2025-02-27 07:29:56,775 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 21/108 +[2025-02-27 07:29:56,802 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 22/108 +[2025-02-27 07:29:56,827 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 23/108 +[2025-02-27 07:29:56,853 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 24/108 +[2025-02-27 07:29:56,881 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 25/108 +[2025-02-27 07:29:56,907 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 26/108 +[2025-02-27 07:29:56,934 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 27/108 +[2025-02-27 07:29:56,960 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 28/108 +[2025-02-27 07:29:56,988 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 29/108 +[2025-02-27 07:29:57,014 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 30/108 +[2025-02-27 07:29:57,053 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 31/108 +[2025-02-27 07:29:57,079 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 32/108 +[2025-02-27 07:29:57,104 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 33/108 +[2025-02-27 07:29:57,130 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 34/108 +[2025-02-27 07:29:57,156 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 35/108 +[2025-02-27 07:29:57,181 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 36/108 +[2025-02-27 07:29:57,229 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 37/108 +[2025-02-27 07:29:57,254 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 38/108 +[2025-02-27 07:29:57,289 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 39/108 +[2025-02-27 07:29:57,313 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 40/108 +[2025-02-27 07:29:57,337 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 41/108 +[2025-02-27 07:29:57,361 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, 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07:29:57,654 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 53/108 +[2025-02-27 07:29:57,679 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 54/108 +[2025-02-27 07:29:57,705 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 55/108 +[2025-02-27 07:29:57,731 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 56/108 +[2025-02-27 07:29:57,757 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 57/108 +[2025-02-27 07:29:57,782 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 58/108 +[2025-02-27 07:29:57,809 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 59/108 +[2025-02-27 07:29:57,833 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 60/108 +[2025-02-27 07:29:57,859 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 61/108 +[2025-02-27 07:29:57,894 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 62/108 +[2025-02-27 07:29:57,921 INFO test.py line 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07:29:58,787 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 94/108 +[2025-02-27 07:29:58,813 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 95/108 +[2025-02-27 07:29:58,840 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 96/108 +[2025-02-27 07:29:58,878 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 97/108 +[2025-02-27 07:29:58,914 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 98/108 +[2025-02-27 07:29:58,957 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 99/108 +[2025-02-27 07:29:58,995 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 100/108 +[2025-02-27 07:29:59,033 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 101/108 +[2025-02-27 07:29:59,082 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 102/108 +[2025-02-27 07:29:59,120 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 103/108 +[2025-02-27 07:29:59,155 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 104/108 +[2025-02-27 07:29:59,179 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 105/108 +[2025-02-27 07:29:59,205 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 106/108 +[2025-02-27 07:29:59,231 INFO test.py line 201 1688082] Test: 65/78-scene0256_02, Batch: 107/108 +[2025-02-27 07:29:59,331 INFO test.py line 289 1688082] Test: scene0256_02 [65/78]-92069 Batch 3.166 (5.271) Accuracy 0.8798 (0.7070) mIoU 0.2310 (0.6153) +[2025-02-27 07:29:59,369 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 0/126 +[2025-02-27 07:29:59,401 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 1/126 +[2025-02-27 07:29:59,435 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 2/126 +[2025-02-27 07:29:59,467 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 3/126 +[2025-02-27 07:29:59,502 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 4/126 +[2025-02-27 07:29:59,535 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 5/126 +[2025-02-27 07:29:59,567 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 6/126 +[2025-02-27 07:29:59,599 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 7/126 +[2025-02-27 07:29:59,632 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 8/126 +[2025-02-27 07:29:59,666 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 9/126 +[2025-02-27 07:29:59,697 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 10/126 +[2025-02-27 07:29:59,730 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 11/126 +[2025-02-27 07:29:59,768 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 12/126 +[2025-02-27 07:29:59,802 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 13/126 +[2025-02-27 07:29:59,833 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 14/126 +[2025-02-27 07:29:59,867 INFO 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07:30:01,103 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 46/126 +[2025-02-27 07:30:01,136 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 47/126 +[2025-02-27 07:30:01,167 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 48/126 +[2025-02-27 07:30:01,198 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 49/126 +[2025-02-27 07:30:01,230 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 50/126 +[2025-02-27 07:30:01,272 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 51/126 +[2025-02-27 07:30:01,312 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 52/126 +[2025-02-27 07:30:01,500 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 53/126 +[2025-02-27 07:30:01,540 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 54/126 +[2025-02-27 07:30:01,578 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 55/126 +[2025-02-27 07:30:01,616 INFO test.py line 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Batch: 117/126 +[2025-02-27 07:30:04,216 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 118/126 +[2025-02-27 07:30:04,248 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 119/126 +[2025-02-27 07:30:04,280 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 120/126 +[2025-02-27 07:30:04,312 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 121/126 +[2025-02-27 07:30:04,347 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 122/126 +[2025-02-27 07:30:04,381 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 123/126 +[2025-02-27 07:30:04,414 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 124/126 +[2025-02-27 07:30:04,448 INFO test.py line 201 1688082] Test: 66/78-scene0025_02, Batch: 125/126 +[2025-02-27 07:30:04,672 INFO test.py line 289 1688082] Test: scene0025_02 [66/78]-177900 Batch 5.340 (5.272) Accuracy 0.8882 (0.7079) mIoU 0.4603 (0.6165) +[2025-02-27 07:30:04,716 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 0/148 +[2025-02-27 07:30:04,753 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 1/148 +[2025-02-27 07:30:04,790 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 2/148 +[2025-02-27 07:30:04,830 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 3/148 +[2025-02-27 07:30:04,871 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 4/148 +[2025-02-27 07:30:04,909 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 5/148 +[2025-02-27 07:30:04,954 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 6/148 +[2025-02-27 07:30:04,992 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 7/148 +[2025-02-27 07:30:05,029 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 8/148 +[2025-02-27 07:30:05,070 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 9/148 +[2025-02-27 07:30:05,107 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, 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test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 113/148 +[2025-02-27 07:30:09,120 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 114/148 +[2025-02-27 07:30:09,158 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 115/148 +[2025-02-27 07:30:09,198 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 116/148 +[2025-02-27 07:30:09,237 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 117/148 +[2025-02-27 07:30:09,277 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 118/148 +[2025-02-27 07:30:09,317 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 119/148 +[2025-02-27 07:30:09,375 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 120/148 +[2025-02-27 07:30:09,415 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 121/148 +[2025-02-27 07:30:09,455 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 122/148 +[2025-02-27 07:30:09,495 INFO test.py line 201 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Batch: 143/148 +[2025-02-27 07:30:10,373 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 144/148 +[2025-02-27 07:30:10,412 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 145/148 +[2025-02-27 07:30:10,448 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 146/148 +[2025-02-27 07:30:10,514 INFO test.py line 201 1688082] Test: 67/78-scene0568_01, Batch: 147/148 +[2025-02-27 07:30:10,800 INFO test.py line 289 1688082] Test: scene0568_01 [67/78]-239388 Batch 6.128 (5.285) Accuracy 0.9388 (0.7089) mIoU 0.4260 (0.6183) +[2025-02-27 07:30:10,869 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 0/130 +[2025-02-27 07:30:10,923 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 1/130 +[2025-02-27 07:30:10,963 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 2/130 +[2025-02-27 07:30:11,004 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 3/130 +[2025-02-27 07:30:11,045 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 4/130 +[2025-02-27 07:30:11,087 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 5/130 +[2025-02-27 07:30:11,148 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 6/130 +[2025-02-27 07:30:11,187 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 7/130 +[2025-02-27 07:30:11,228 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 8/130 +[2025-02-27 07:30:11,296 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 9/130 +[2025-02-27 07:30:11,329 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 10/130 +[2025-02-27 07:30:11,369 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 11/130 +[2025-02-27 07:30:11,407 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 12/130 +[2025-02-27 07:30:11,444 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 13/130 +[2025-02-27 07:30:11,481 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 14/130 +[2025-02-27 07:30:11,528 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 15/130 +[2025-02-27 07:30:11,570 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 16/130 +[2025-02-27 07:30:11,615 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 17/130 +[2025-02-27 07:30:11,653 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 18/130 +[2025-02-27 07:30:11,693 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 19/130 +[2025-02-27 07:30:11,731 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 20/130 +[2025-02-27 07:30:11,767 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 21/130 +[2025-02-27 07:30:11,805 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 22/130 +[2025-02-27 07:30:11,846 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 23/130 +[2025-02-27 07:30:11,921 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 24/130 +[2025-02-27 07:30:11,956 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 25/130 +[2025-02-27 07:30:11,987 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 26/130 +[2025-02-27 07:30:12,026 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 27/130 +[2025-02-27 07:30:12,062 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 28/130 +[2025-02-27 07:30:12,091 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 29/130 +[2025-02-27 07:30:12,118 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 30/130 +[2025-02-27 07:30:12,145 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 31/130 +[2025-02-27 07:30:12,182 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 32/130 +[2025-02-27 07:30:12,214 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 33/130 +[2025-02-27 07:30:12,244 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 34/130 +[2025-02-27 07:30:12,280 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 35/130 +[2025-02-27 07:30:12,317 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 36/130 +[2025-02-27 07:30:12,377 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 37/130 +[2025-02-27 07:30:12,412 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 38/130 +[2025-02-27 07:30:12,446 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 39/130 +[2025-02-27 07:30:12,483 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 40/130 +[2025-02-27 07:30:12,524 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 41/130 +[2025-02-27 07:30:12,572 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 42/130 +[2025-02-27 07:30:12,609 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 43/130 +[2025-02-27 07:30:12,645 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 44/130 +[2025-02-27 07:30:12,693 INFO test.py line 201 1688082] Test: 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07:30:13,446 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 66/130 +[2025-02-27 07:30:13,484 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 67/130 +[2025-02-27 07:30:13,514 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 68/130 +[2025-02-27 07:30:13,542 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 69/130 +[2025-02-27 07:30:13,572 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 70/130 +[2025-02-27 07:30:13,601 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 71/130 +[2025-02-27 07:30:13,635 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 72/130 +[2025-02-27 07:30:13,669 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 73/130 +[2025-02-27 07:30:13,704 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 74/130 +[2025-02-27 07:30:13,733 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 75/130 +[2025-02-27 07:30:13,761 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 76/130 +[2025-02-27 07:30:13,788 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 77/130 +[2025-02-27 07:30:13,817 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 78/130 +[2025-02-27 07:30:13,844 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 79/130 +[2025-02-27 07:30:13,874 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 80/130 +[2025-02-27 07:30:13,902 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 81/130 +[2025-02-27 07:30:13,932 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 82/130 +[2025-02-27 07:30:13,959 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 83/130 +[2025-02-27 07:30:13,989 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 84/130 +[2025-02-27 07:30:14,018 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 85/130 +[2025-02-27 07:30:14,047 INFO test.py line 201 1688082] Test: 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07:30:14,706 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 107/130 +[2025-02-27 07:30:14,734 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 108/130 +[2025-02-27 07:30:14,762 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 109/130 +[2025-02-27 07:30:14,790 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 110/130 +[2025-02-27 07:30:14,821 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 111/130 +[2025-02-27 07:30:14,858 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 112/130 +[2025-02-27 07:30:14,887 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 113/130 +[2025-02-27 07:30:14,914 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 114/130 +[2025-02-27 07:30:14,944 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 115/130 +[2025-02-27 07:30:14,972 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 116/130 +[2025-02-27 07:30:15,005 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 117/130 +[2025-02-27 07:30:15,037 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 118/130 +[2025-02-27 07:30:15,066 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 119/130 +[2025-02-27 07:30:15,101 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 120/130 +[2025-02-27 07:30:15,128 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 121/130 +[2025-02-27 07:30:15,168 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 122/130 +[2025-02-27 07:30:15,218 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 123/130 +[2025-02-27 07:30:15,257 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 124/130 +[2025-02-27 07:30:15,286 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 125/130 +[2025-02-27 07:30:15,313 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 126/130 +[2025-02-27 07:30:15,344 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 127/130 +[2025-02-27 07:30:15,371 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 128/130 +[2025-02-27 07:30:15,406 INFO test.py line 201 1688082] Test: 68/78-scene0426_02, Batch: 129/130 +[2025-02-27 07:30:15,551 INFO test.py line 289 1688082] Test: scene0426_02 [68/78]-125149 Batch 4.750 (5.277) Accuracy 0.8914 (0.7093) mIoU 0.3738 (0.6190) +[2025-02-27 07:30:15,579 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 0/122 +[2025-02-27 07:30:15,605 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 1/122 +[2025-02-27 07:30:15,630 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 2/122 +[2025-02-27 07:30:15,659 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 3/122 +[2025-02-27 07:30:15,685 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 4/122 +[2025-02-27 07:30:15,712 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 5/122 +[2025-02-27 07:30:15,736 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 6/122 +[2025-02-27 07:30:15,775 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 7/122 +[2025-02-27 07:30:15,824 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 8/122 +[2025-02-27 07:30:15,882 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 9/122 +[2025-02-27 07:30:15,909 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 10/122 +[2025-02-27 07:30:15,935 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 11/122 +[2025-02-27 07:30:15,961 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 12/122 +[2025-02-27 07:30:15,991 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 13/122 +[2025-02-27 07:30:16,022 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 14/122 +[2025-02-27 07:30:16,050 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 15/122 +[2025-02-27 07:30:16,077 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 16/122 +[2025-02-27 07:30:16,124 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 17/122 +[2025-02-27 07:30:16,149 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 18/122 +[2025-02-27 07:30:16,177 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 19/122 +[2025-02-27 07:30:16,203 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 20/122 +[2025-02-27 07:30:16,231 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 21/122 +[2025-02-27 07:30:16,257 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 22/122 +[2025-02-27 07:30:16,292 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 23/122 +[2025-02-27 07:30:16,322 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 24/122 +[2025-02-27 07:30:16,348 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 25/122 +[2025-02-27 07:30:16,374 INFO test.py line 201 1688082] Test: 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Batch: 118/122 +[2025-02-27 07:30:19,008 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 119/122 +[2025-02-27 07:30:19,032 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 120/122 +[2025-02-27 07:30:19,057 INFO test.py line 201 1688082] Test: 69/78-scene0355_01, Batch: 121/122 +[2025-02-27 07:30:19,141 INFO test.py line 289 1688082] Test: scene0355_01 [69/78]-67623 Batch 3.589 (5.253) Accuracy 0.9548 (0.7094) mIoU 0.2905 (0.6190) +[2025-02-27 07:30:19,170 INFO test.py line 201 1688082] Test: 70/78-scene0607_01, Batch: 0/142 +[2025-02-27 07:30:19,199 INFO test.py line 201 1688082] Test: 70/78-scene0607_01, Batch: 1/142 +[2025-02-27 07:30:19,234 INFO test.py line 201 1688082] Test: 70/78-scene0607_01, Batch: 2/142 +[2025-02-27 07:30:19,287 INFO test.py line 201 1688082] Test: 70/78-scene0607_01, Batch: 3/142 +[2025-02-27 07:30:19,323 INFO test.py line 201 1688082] Test: 70/78-scene0607_01, Batch: 4/142 +[2025-02-27 07:30:19,362 INFO test.py line 201 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+[2025-02-27 07:30:28,885 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 118/130 +[2025-02-27 07:30:28,947 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 119/130 +[2025-02-27 07:30:28,983 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 120/130 +[2025-02-27 07:30:29,019 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 121/130 +[2025-02-27 07:30:29,058 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 122/130 +[2025-02-27 07:30:29,095 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 123/130 +[2025-02-27 07:30:29,132 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 124/130 +[2025-02-27 07:30:29,169 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 125/130 +[2025-02-27 07:30:29,204 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 126/130 +[2025-02-27 07:30:29,241 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 127/130 +[2025-02-27 07:30:29,279 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 128/130 +[2025-02-27 07:30:29,344 INFO test.py line 201 1688082] Test: 71/78-scene0203_01, Batch: 129/130 +[2025-02-27 07:30:29,589 INFO test.py line 289 1688082] Test: scene0203_01 [71/78]-206210 Batch 5.868 (5.252) Accuracy 0.8241 (0.7056) mIoU 0.2545 (0.6152) +[2025-02-27 07:30:29,615 INFO test.py line 201 1688082] Test: 72/78-scene0684_01, Batch: 0/136 +[2025-02-27 07:30:29,641 INFO test.py line 201 1688082] Test: 72/78-scene0684_01, Batch: 1/136 +[2025-02-27 07:30:29,666 INFO test.py line 201 1688082] Test: 72/78-scene0684_01, Batch: 2/136 +[2025-02-27 07:30:29,691 INFO test.py line 201 1688082] Test: 72/78-scene0684_01, Batch: 3/136 +[2025-02-27 07:30:29,719 INFO test.py line 201 1688082] Test: 72/78-scene0684_01, Batch: 4/136 +[2025-02-27 07:30:29,748 INFO test.py line 201 1688082] Test: 72/78-scene0684_01, Batch: 5/136 +[2025-02-27 07:30:29,796 INFO test.py line 201 1688082] Test: 72/78-scene0684_01, 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INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 2/117 +[2025-02-27 07:30:33,830 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 3/117 +[2025-02-27 07:30:33,856 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 4/117 +[2025-02-27 07:30:33,883 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 5/117 +[2025-02-27 07:30:33,907 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 6/117 +[2025-02-27 07:30:33,933 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 7/117 +[2025-02-27 07:30:33,958 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 8/117 +[2025-02-27 07:30:33,986 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 9/117 +[2025-02-27 07:30:34,012 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 10/117 +[2025-02-27 07:30:34,037 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 11/117 +[2025-02-27 07:30:34,062 INFO test.py line 201 1688082] Test: 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07:30:34,624 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 33/117 +[2025-02-27 07:30:34,655 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 34/117 +[2025-02-27 07:30:34,679 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 35/117 +[2025-02-27 07:30:34,707 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 36/117 +[2025-02-27 07:30:34,731 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 37/117 +[2025-02-27 07:30:34,759 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 38/117 +[2025-02-27 07:30:34,784 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 39/117 +[2025-02-27 07:30:34,810 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 40/117 +[2025-02-27 07:30:34,842 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 41/117 +[2025-02-27 07:30:34,866 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 42/117 +[2025-02-27 07:30:34,889 INFO test.py line 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07:30:35,692 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 74/117 +[2025-02-27 07:30:35,718 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 75/117 +[2025-02-27 07:30:35,743 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 76/117 +[2025-02-27 07:30:35,767 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 77/117 +[2025-02-27 07:30:35,797 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 78/117 +[2025-02-27 07:30:35,821 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 79/117 +[2025-02-27 07:30:35,846 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 80/117 +[2025-02-27 07:30:35,872 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 81/117 +[2025-02-27 07:30:35,898 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 82/117 +[2025-02-27 07:30:35,926 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 83/117 +[2025-02-27 07:30:35,952 INFO test.py line 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07:30:36,771 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 115/117 +[2025-02-27 07:30:36,795 INFO test.py line 201 1688082] Test: 73/78-scene0686_02, Batch: 116/117 +[2025-02-27 07:30:36,907 INFO test.py line 289 1688082] Test: scene0686_02 [73/78]-84543 Batch 3.180 (5.208) Accuracy 0.9273 (0.7065) mIoU 0.3429 (0.6159) +[2025-02-27 07:30:36,948 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 0/147 +[2025-02-27 07:30:36,985 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 1/147 +[2025-02-27 07:30:37,024 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 2/147 +[2025-02-27 07:30:37,063 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 3/147 +[2025-02-27 07:30:37,102 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 4/147 +[2025-02-27 07:30:37,141 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 5/147 +[2025-02-27 07:30:37,178 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, 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07:30:37,595 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 17/147 +[2025-02-27 07:30:37,627 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 18/147 +[2025-02-27 07:30:37,659 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 19/147 +[2025-02-27 07:30:37,717 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 20/147 +[2025-02-27 07:30:37,778 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 21/147 +[2025-02-27 07:30:37,811 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 22/147 +[2025-02-27 07:30:37,845 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 23/147 +[2025-02-27 07:30:37,876 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 24/147 +[2025-02-27 07:30:37,908 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 25/147 +[2025-02-27 07:30:37,939 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 26/147 +[2025-02-27 07:30:37,972 INFO test.py line 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Batch: 139/147 +[2025-02-27 07:30:42,262 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 140/147 +[2025-02-27 07:30:42,290 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 141/147 +[2025-02-27 07:30:42,344 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 142/147 +[2025-02-27 07:30:42,373 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 143/147 +[2025-02-27 07:30:42,402 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 144/147 +[2025-02-27 07:30:42,430 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 145/147 +[2025-02-27 07:30:42,458 INFO test.py line 201 1688082] Test: 74/78-scene0697_02, Batch: 146/147 +[2025-02-27 07:30:42,602 INFO test.py line 289 1688082] Test: scene0697_02 [74/78]-166855 Batch 5.694 (5.215) Accuracy 0.7503 (0.7052) mIoU 0.1616 (0.6145) +[2025-02-27 07:30:42,636 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 0/130 +[2025-02-27 07:30:42,665 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 1/130 +[2025-02-27 07:30:42,701 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 2/130 +[2025-02-27 07:30:42,729 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 3/130 +[2025-02-27 07:30:42,758 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 4/130 +[2025-02-27 07:30:42,789 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 5/130 +[2025-02-27 07:30:42,818 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 6/130 +[2025-02-27 07:30:42,845 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 7/130 +[2025-02-27 07:30:42,874 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 8/130 +[2025-02-27 07:30:42,902 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 9/130 +[2025-02-27 07:30:42,932 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 10/130 +[2025-02-27 07:30:42,961 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 11/130 +[2025-02-27 07:30:42,999 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 12/130 +[2025-02-27 07:30:43,027 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 13/130 +[2025-02-27 07:30:43,057 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 14/130 +[2025-02-27 07:30:43,086 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 15/130 +[2025-02-27 07:30:43,116 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 16/130 +[2025-02-27 07:30:43,144 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 17/130 +[2025-02-27 07:30:43,173 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 18/130 +[2025-02-27 07:30:43,202 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 19/130 +[2025-02-27 07:30:43,231 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 20/130 +[2025-02-27 07:30:43,260 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 21/130 +[2025-02-27 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test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 114/130 +[2025-02-27 07:30:46,060 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 115/130 +[2025-02-27 07:30:46,091 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 116/130 +[2025-02-27 07:30:46,121 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 117/130 +[2025-02-27 07:30:46,160 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 118/130 +[2025-02-27 07:30:46,189 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 119/130 +[2025-02-27 07:30:46,217 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 120/130 +[2025-02-27 07:30:46,246 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 121/130 +[2025-02-27 07:30:46,274 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 122/130 +[2025-02-27 07:30:46,308 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 123/130 +[2025-02-27 07:30:46,347 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 124/130 +[2025-02-27 07:30:46,391 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 125/130 +[2025-02-27 07:30:46,437 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 126/130 +[2025-02-27 07:30:46,484 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 127/130 +[2025-02-27 07:30:46,530 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 128/130 +[2025-02-27 07:30:46,579 INFO test.py line 201 1688082] Test: 75/78-scene0081_01, Batch: 129/130 +[2025-02-27 07:30:46,780 INFO test.py line 289 1688082] Test: scene0081_01 [75/78]-179955 Batch 4.178 (5.201) Accuracy 0.8926 (0.7044) mIoU 0.1851 (0.6133) +[2025-02-27 07:30:46,826 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 0/143 +[2025-02-27 07:30:46,874 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 1/143 +[2025-02-27 07:30:46,930 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 2/143 +[2025-02-27 07:30:46,976 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 3/143 +[2025-02-27 07:30:47,022 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 4/143 +[2025-02-27 07:30:47,059 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 5/143 +[2025-02-27 07:30:47,119 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 6/143 +[2025-02-27 07:30:47,152 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 7/143 +[2025-02-27 07:30:47,186 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 8/143 +[2025-02-27 07:30:47,220 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 9/143 +[2025-02-27 07:30:47,264 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 10/143 +[2025-02-27 07:30:47,308 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 11/143 +[2025-02-27 07:30:47,351 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 12/143 +[2025-02-27 07:30:47,395 INFO test.py line 201 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+[2025-02-27 07:30:51,052 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 126/143 +[2025-02-27 07:30:51,079 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 127/143 +[2025-02-27 07:30:51,108 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 128/143 +[2025-02-27 07:30:51,136 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 129/143 +[2025-02-27 07:30:51,163 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 130/143 +[2025-02-27 07:30:51,189 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 131/143 +[2025-02-27 07:30:51,216 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 132/143 +[2025-02-27 07:30:51,245 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 133/143 +[2025-02-27 07:30:51,272 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 134/143 +[2025-02-27 07:30:51,300 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 135/143 +[2025-02-27 07:30:51,335 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 136/143 +[2025-02-27 07:30:51,368 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 137/143 +[2025-02-27 07:30:51,396 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 138/143 +[2025-02-27 07:30:51,424 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 139/143 +[2025-02-27 07:30:51,453 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 140/143 +[2025-02-27 07:30:51,482 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 141/143 +[2025-02-27 07:30:51,509 INFO test.py line 201 1688082] Test: 76/78-scene0689_00, Batch: 142/143 +[2025-02-27 07:30:51,648 INFO test.py line 289 1688082] Test: scene0689_00 [76/78]-122129 Batch 4.867 (5.197) Accuracy 0.8415 (0.7040) mIoU 0.4015 (0.6130) +[2025-02-27 07:30:51,687 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 0/130 +[2025-02-27 07:30:51,721 INFO test.py line 201 1688082] Test: 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+[2025-02-27 07:30:52,199 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 12/130 +[2025-02-27 07:30:52,243 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 13/130 +[2025-02-27 07:30:52,288 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 14/130 +[2025-02-27 07:30:52,332 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 15/130 +[2025-02-27 07:30:52,378 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 16/130 +[2025-02-27 07:30:52,424 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 17/130 +[2025-02-27 07:30:52,473 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 18/130 +[2025-02-27 07:30:52,516 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 19/130 +[2025-02-27 07:30:52,561 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 20/130 +[2025-02-27 07:30:52,607 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 21/130 +[2025-02-27 07:30:52,650 INFO 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line 201 1688082] Test: 77/78-scene0095_01, Batch: 104/130 +[2025-02-27 07:30:55,928 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 105/130 +[2025-02-27 07:30:55,963 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 106/130 +[2025-02-27 07:30:55,999 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 107/130 +[2025-02-27 07:30:56,035 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 108/130 +[2025-02-27 07:30:56,072 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 109/130 +[2025-02-27 07:30:56,108 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 110/130 +[2025-02-27 07:30:56,145 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 111/130 +[2025-02-27 07:30:56,180 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 112/130 +[2025-02-27 07:30:56,224 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 113/130 +[2025-02-27 07:30:56,260 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 114/130 +[2025-02-27 07:30:56,296 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 115/130 +[2025-02-27 07:30:56,337 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 116/130 +[2025-02-27 07:30:56,374 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 117/130 +[2025-02-27 07:30:56,410 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 118/130 +[2025-02-27 07:30:56,446 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 119/130 +[2025-02-27 07:30:56,479 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 120/130 +[2025-02-27 07:30:56,514 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 121/130 +[2025-02-27 07:30:56,548 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 122/130 +[2025-02-27 07:30:56,583 INFO test.py line 201 1688082] Test: 77/78-scene0095_01, Batch: 123/130 +[2025-02-27 07:30:56,618 INFO test.py line 201 1688082] Test: 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Batch: 105/147 +[2025-02-27 07:31:00,265 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 106/147 +[2025-02-27 07:31:00,296 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 107/147 +[2025-02-27 07:31:00,326 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 108/147 +[2025-02-27 07:31:00,356 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 109/147 +[2025-02-27 07:31:00,384 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 110/147 +[2025-02-27 07:31:00,413 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 111/147 +[2025-02-27 07:31:00,443 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 112/147 +[2025-02-27 07:31:00,473 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 113/147 +[2025-02-27 07:31:00,503 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 114/147 +[2025-02-27 07:31:00,535 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 115/147 +[2025-02-27 07:31:00,567 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 116/147 +[2025-02-27 07:31:00,597 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 117/147 +[2025-02-27 07:31:00,627 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 118/147 +[2025-02-27 07:31:00,657 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 119/147 +[2025-02-27 07:31:00,687 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 120/147 +[2025-02-27 07:31:00,716 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 121/147 +[2025-02-27 07:31:00,746 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 122/147 +[2025-02-27 07:31:00,777 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 123/147 +[2025-02-27 07:31:00,808 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 124/147 +[2025-02-27 07:31:00,840 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 125/147 +[2025-02-27 07:31:00,893 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 126/147 +[2025-02-27 07:31:00,931 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 127/147 +[2025-02-27 07:31:00,961 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 128/147 +[2025-02-27 07:31:01,001 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 129/147 +[2025-02-27 07:31:01,033 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 130/147 +[2025-02-27 07:31:01,063 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 131/147 +[2025-02-27 07:31:01,091 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 132/147 +[2025-02-27 07:31:01,122 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 133/147 +[2025-02-27 07:31:01,153 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 134/147 +[2025-02-27 07:31:01,182 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 135/147 +[2025-02-27 07:31:01,220 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 136/147 +[2025-02-27 07:31:01,248 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 137/147 +[2025-02-27 07:31:01,278 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 138/147 +[2025-02-27 07:31:01,307 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 139/147 +[2025-02-27 07:31:01,337 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 140/147 +[2025-02-27 07:31:01,369 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 141/147 +[2025-02-27 07:31:01,398 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 142/147 +[2025-02-27 07:31:01,428 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 143/147 +[2025-02-27 07:31:01,457 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 144/147 +[2025-02-27 07:31:01,494 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 145/147 +[2025-02-27 07:31:01,523 INFO test.py line 201 1688082] Test: 78/78-scene0187_01, Batch: 146/147 +[2025-02-27 07:31:01,688 INFO test.py line 289 1688082] Test: scene0187_01 [78/78]-144163 Batch 4.621 (5.192) Accuracy 0.9289 (0.7047) mIoU 0.3520 (0.6119) +[2025-02-27 07:31:02,484 INFO test.py line 306 1688082] Syncing ... +[2025-02-27 07:31:22,846 INFO test.py line 334 1688082] Val result: mIoU/mAcc/allAcc 0.6170/0.7161/0.8549 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_0 - wall Result: iou/accuracy 0.7882/0.9267 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_1 - floor Result: iou/accuracy 0.9446/0.9776 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_2 - cabinet Result: iou/accuracy 0.5291/0.6623 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_3 - bed Result: iou/accuracy 0.7092/0.8066 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_4 - chair Result: iou/accuracy 0.8585/0.9390 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_5 - sofa Result: iou/accuracy 0.7523/0.8581 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_6 - table Result: iou/accuracy 0.6412/0.7735 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_7 - door Result: iou/accuracy 0.4946/0.6095 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_8 - window Result: iou/accuracy 0.4936/0.6104 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_9 - bookshelf Result: iou/accuracy 0.7070/0.8442 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_10 - picture Result: iou/accuracy 0.1468/0.1832 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_11 - counter Result: iou/accuracy 0.5092/0.6399 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_12 - desk Result: iou/accuracy 0.5321/0.7096 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_13 - curtain Result: iou/accuracy 0.6271/0.7393 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_14 - refridgerator Result: iou/accuracy 0.3726/0.4188 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_15 - shower curtain Result: iou/accuracy 0.5496/0.6121 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_16 - toilet Result: iou/accuracy 0.8651/0.9225 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_17 - sink Result: iou/accuracy 0.5386/0.6341 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_18 - bathtub Result: iou/accuracy 0.8124/0.8914 +[2025-02-27 07:31:22,847 INFO test.py line 340 1688082] Class_19 - otherfurniture Result: iou/accuracy 0.4687/0.5641 +[2025-02-27 07:31:22,847 INFO test.py line 348 1688082] <<<<<<<<<<<<<<<<< End Evaluation <<<<<<<<<<<<<<<<<