Add download links of pretrained models
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@@ -3,6 +3,10 @@
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## News
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- [2023-07-19] Pretrained models are released.
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- [2023-06-15] Training and testing code is released.
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## Install
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```bash
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conda create -n smplerx python=3.8 -y
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@@ -19,6 +23,16 @@ pip install -v -e .
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cd ../..
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```
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## Pretrained Models
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| Model | Backbone | #Datasets | #Inst. | #Params | MPE | Download |
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|:------------:|:--------:|:---------:|:------:|:-------:|:----:|:--------:|
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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* MPE (Mean Primary Error): the average of the primary errors on five benchmarks (AGORA, EgoBody, UBody, 3DPW, and EHF)
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## Preparation
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- download all datasets
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- [3DPW](https://virtualhumans.mpi-inf.mpg.de/3DPW/)
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