Augmentations

July 18, 2022 ยท View on GitHub

Introduction

We provide the config files for training on 31 different datasets:

  1. AGORA (CVPR'2021)
  2. AI Challenger (ICME'2019)
  3. COCO (ECCV'2014)
  4. COCO-WholeBody (ECCV'2020)
  5. EFT-COCO-Part (3DV'2021)
  6. EFT-COCO (3DV'2021)
  7. EFT-LSPET (3DV'2021)
  8. EFT-OCHuman (3DV'2021)
  9. EFT-PoseTrack (3DV'2021)
  10. EFT-MPII (3DV'2021)
  11. Human3.6M (TPAMI'2014)
  12. InstaVariety (CVPR'2019)
  13. LIP (CVPR'2017)
  14. LSP (BMVC'2010)
  15. LSP-Extended (CVPR'2011)
  16. MPI-INF-3DHP (3DC'2017)
  17. MPII (CVPR'2014)
  18. MTP (CVPR'2021)
  19. MuCo-3DHP (3DV'2018)
  20. MuPoTs-3D (3DV'2018)
  21. OCHuman (CVPR'2019)
  22. 3DOH50K (CVPR'2020)
  23. Penn Action (ICCV'2012)
  24. 3D-People (ICCV'2019)
  25. PoseTrack18 (CVPR'2018)
  26. PROX (ICCV'2019)
  27. 3DPW (ECCV'2018)
  28. SURREAL (CVPR'2017)
  29. UP-3D (CVPR'2017)
  30. VLOG (CVPR'2019)
  31. CrowdPose (CVPR'2019)

Results and Models

We evaluate trained models on 3DPW. Values are PA-MPJPE.

DatasetsConfig3DPW
AGORAresnet50_hmr_agora.py77.94
AI Challengerresnet50_hmr_aic.py111.66
COCOresnet50_hmr_coco.py93.18
COCO-Wholebodyresnet50_hmr_coco_wholebody.py85.27
Crowdposeresnet50_hmr_crowdpose.py99.97
EFT-COCO-Partresnet50_hmr_eft_coco_part.py67.81
EFT-COCOresnet50_hmr_eft_coco.py60.82
EFT-LSPETresnet50_hmr_eft_lspet.py100.53
EFT-OCHumanresnet50_hmr_eft_ochuman.py94.01
EFT-PoseTrackresnet50_hmr_eft_posetrack.py75.17
EFT-MPIIresnet50_hmr_eft_mpii.py77.67
H36Mresnet50_hmr_h36m.py124.55
InstaVarietyresnet50_hmr_instavariety.py88.93
LIPresnet50_hmr_lip.py96.47
LSPresnet50_hmr_lsp.py111.45
LSP-Extendedresnet50_hmr_lspet.py112.26
MPI-INF-3DHPresnet50_hmr_mpi_inf_3dhp.py107.15
MPIIresnet50_hmr_mpii.py98.18
MTPresnet50_hmr_mtp.py87.03
MuCo-3DHPresnet50_hmr_muco.py78.05
MuPoTs-3Dresnet50_hmr_mupots3d.py95.83
OCHumanresnet50_hmr_ochuman.py130.55
3DOH50Kresnet50_hmr_oh50k3d.py114.48
Penn-Actionresnet50_hmr_penn_action.py114.53
3D-Peopleresnet50_hmr_people3d.py118.31
PoseTrackresnet50_hmr_posetrack.py105.30
PROXresnet50_hmr_prox.py84.69
3DPWresnet50_hmr_pw3d.py89.36
SURREALresnet50_hmr_surreal.py110.00
UP-3Dresnet50_hmr_up3d.py86.92
VLOGresnet50_hmr_vlog.py100.38