Add download links of pretrained models

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caizhongang
2023-07-19 14:36:48 +08:00
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![Teaser](./assets/teaser.png)
![Visualization](./assets/smpler_x_vis1.jpg)
## News
- [2023-07-19] Pretrained models are released.
- [2023-06-15] Training and testing code is released.
## Install
```bash
conda create -n smplerx python=3.8 -y
@@ -19,6 +23,16 @@ pip install -v -e .
cd ../..
```
## Pretrained Models
| Model | Backbone | #Datasets | #Inst. | #Params | MPE | Download |
|:------------:|:--------:|:---------:|:------:|:-------:|:----:|:--------:|
| SMPLer-X-S32 | ViT-S | 32 | 4.5M | 32M | 82.6 | [model](https://pjlab-my.sharepoint.cn/:u:/g/personal/openmmlab_pjlab_org_cn/EbkyKOS5PclHtDSxdZDmsu0BNviaTKUbF5QUPJ08hfKuKg?e=LQVvzs) |
| SMPLer-X-B32 | ViT-B | 32 | 4.5M | 103M | 74.3 | [model](https://pjlab-my.sharepoint.cn/:u:/g/personal/openmmlab_pjlab_org_cn/EVcRBwNOQl9OtWhnCU54l58BzJaYEPxcFIw7u_GnnlPZiA?e=nPqMjz) |
| SMPLer-X-L32 | ViT-L | 32 | 4.5M | 327M | 66.2 | [model](https://pjlab-my.sharepoint.cn/:u:/g/personal/openmmlab_pjlab_org_cn/EWypJXfmJ2dEhoC0pHFFd5MBoSs7LCZmWQjHjbcQJF72fQ?e=Gteus3) |
| SMPLer-X-H32 | ViT-H | 32 | 4.5M | 662M | 63.0 | [model](https://pjlab-my.sharepoint.cn/:u:/g/personal/openmmlab_pjlab_org_cn/Eco7AAc_ZmtBrhAat2e5Ti8BonrR3NVNx-tNSck45ixT4Q?e=nudXrR) |
* MPE (Mean Primary Error): the average of the primary errors on five benchmarks (AGORA, EgoBody, UBody, 3DPW, and EHF)
## Preparation
- download all datasets
- [3DPW](https://virtualhumans.mpi-inf.mpg.de/3DPW/)
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