load models upon each run

README.md

@@ -7,11 +7,6 @@ tags:
 - person-detection
 - human-pose-estimation
 - instance-segmentation
-datasets:
-- COCO
-- MPII
-- AIC
-- OCHuman
 models:
 - vrg-prague/BBoxMaskPose
 - facebook/sam2.1-hiera-base-plus
@@ -23,8 +18,6 @@ sdk: gradio
 sdk_version: 5.33.0
 app_file: app.py
 pinned: false
-preload_from_hub:
-- vrg-prague/BBoxMaskPose MaskPose-b.pth,rtmdet-ins-l-mask.pth
 license: gpl-3.0
 short_description: '[ICCV 25] Image Demo for BBoxMaskPose method'
 ---

configs/bmp_D3.yaml

@@ -4,7 +4,7 @@
 # This configuration is good for the BMP loop as was used for most of the experiments.
 detector:
   det_config: 'mmpose/configs/mmdet/rtmdet/rtmdet-ins_l_8xb32-300e_coco.py'
-  det_checkpoint: 'rtmdet-ins-l-mask.pth'
+  det_checkpoint: 'https://huggingface.co/vrg-prague/BBoxMaskPose/resolve/main/rtmdet-ins-l-mask.pth'
 
   # Detectors D and D' could be different. 
   det_prime_config: null
@@ -12,7 +12,7 @@ detector:
   
 pose_estimator:
   pose_config: 'mmpose/configs/MaskPose/ViTb-multi_mask.py'
-  pose_checkpoint: 'MaskPose-b.pth'
+  pose_checkpoint: 'https://huggingface.co/vrg-prague/BBoxMaskPose/resolve/main/MaskPose-b.pth'
   
 sam2:
   sam2_config: 'configs/samurai/sam2.1_hiera_b+.yaml'   # Use SAMURAI as it has img_size 1024 (SAM-2.1 has 512)