We provide the config files for training on different losses for different dataset combination:
- Mix 1: H36M, MI, COCO
- Mix 2: H36M, MI, EFT-COCO
- Mix 5: H36M, MI, COCO, LSP, LSPET, MPII
- Mix 6: EFT-[COCO, MPII, LSPET], SPIN-MI, H36M
- Mix 7: EFT-[COCO, MPII, LSPET], MuCo, H36M, PROX
- Mix 8: EFT-[COCO, PT, LSPET], MI, H36M
- Mix 11: EFT-[COCO, MPII, LSPET], MuCo, H36M
We evaluate trained models on 3DPW. Values are MPJPE/PA-MPJPE.
| Mixes | Datasets Config | 3DPW (w/ L1) | 3DPW (w/o L1) | |:------:|:------:|:-------:|:-------:|:-------:| | Mix 1 | H36M, MI, COCO | resnet50_hmr_mix1.py | 57.01 | 66.14 | | Mix 2 | H36M, MI, EFT-COCO |resnet50_hmr_mix2.py | 55.25 | 55.98 | | Mix 5 | H36M, MI, COCO, LSP, LSPET, MPII |resnet50_hmr_mix5.py | 58.20 | 64.55 | | Mix 6 | EFT-[COCO, MPII, LSPET], SPIN-MI, H36M |resnet50_hmr_mix6.py | 53.62 | 55.47 | | Mix 7 | EFT-[COCO, MPII, LSPET], MuCo, H36M, PROX |resnet50_hmr_mix7.py | 52.93 | 53.44 | | Mix 8 | EFT-[COCO, PT, LSPET], MI, H36M |resnet50_hmr_mix8.py | 53.43 | 55.97 | | Mix 11 | EFT-[COCO, MPII, LSPET], MuCo, H36M |resnet50_hmr_mix11.py | 53.17 | 52.54 |