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Introduction

We provide the config files for training and pretrained models for inference on the optimal configurations.

Notes

Download the pretrained backbones from here:

  1. resnet50_coco_pose.pth
  2. hrnet_coco_pose.pth
  3. twins_svt_coco_pose.pth

Download the above resources and arrange them in the following file structure:

mmhuman3d
├── mmhuman3d
├── docs
├── tests
├── tools
├── configs
└── data
    └── checkpoints
        ├── resnet50_coco_pose.pth
        ├── hrnet_coco_pose.pth
        └── twins_svt_coco_pose.pth

Results and Models

We evaluate HMR on 3DPW. Values are PA-MPJPE.

Config Dataset Backbone 3DPW Download
resnet50_hmr_mix1_coco_l1.py H36M, MI, COCO, LSP, LSPET, MPII ResNet-50 51.66 model
hrnet_hmr_mix1_coco_l1.py H36M, MI, COCO, LSP, LSPET, MPII HRNet-W32 49.18 model
twins_svt_hmr_mix1_coco_l1.py H36M, MI, COCO, LSP, LSPET, MPII Twins-SVT 48.77 model
twins_svt_hmr_mix1_coco_l1_aug.py H36M, MI, COCO, LSP, LSPET, MPII Twins-SVT 47.70 model
hrnet_hmr_mix4_coco_l1_aug.py EFT-[COCO, LSPET, MPII], H36M, SPIN-MI HRNet-W32 47.68 model
twins_svt_hmr_mix4_coco_l1.py EFT-[COCO, LSPET, MPII], H36M, SPIN-MI Twins-SVT 47.31 model
hrnet_hmr_mix2_coco_l1_aug.py H36M, MI, EFT-COCO HRNet-W32 48.08 model
twins_svt_hmr_mix2_coco_l1.py H36M, MI, EFT-COCO Twins-SVT 48.27 model
twins_svt_hmr_mix6_coco_l1.py H36M, MuCo, EFT-COCO Twins-SVT 47.92 model