hrnet_crowdpose.yml 1.1 KB

12345678910111213141516171819202122232425262728293031323334353637
  1. Models:
  2. - Config: configs/body_2d_keypoint/dekr/crowdpose/dekr_hrnet-w32_8xb10-300e_crowdpose-512x512.py
  3. In Collection: DEKR
  4. Metadata:
  5. Architecture: &id001
  6. - DEKR
  7. - HRNet
  8. Training Data: CrowdPose
  9. Name: dekr_hrnet-w32_8xb10-300e_crowdpose-512x512
  10. Results:
  11. - Dataset: CrowdPose
  12. Metrics:
  13. AP: 0.663
  14. AP@0.5: 0.857
  15. AP@0.75: 0.714
  16. AP (E): 0.74
  17. AP (M): 0.671
  18. AP (L): 0.576
  19. Task: Body 2D Keypoint
  20. Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/dekr/crowdpose/dekr_hrnet-w32_8xb10-140e_crowdpose-512x512_147bae97-20221228.pth
  21. - Config: configs/body_2d_keypoint/dekr/crowdpose/dekr_hrnet-w48_8xb5-300e_crowdpose-640x640.py
  22. In Collection: DEKR
  23. Metadata:
  24. Architecture: *id001
  25. Training Data: CrowdPose
  26. Name: dekr_hrnet-w48_8xb5-300e_crowdpose-640x640
  27. Results:
  28. - Dataset: CrowdPose
  29. Metrics:
  30. AP: 0.679
  31. AP@0.5: 0.869
  32. AP@0.75: 0.731
  33. AP (E): 0.753
  34. AP (M): 0.688
  35. AP (L): 0.593
  36. Task: Body 2D Keypoint
  37. Weights: https://download.openmmlab.com/mmpose/bottom_up/dekr/hrnet_w48_crowdpose_640x640-ef6b6040_20220930.pth