A simple and clean VPoser for inference.
pip install git+https://github.com/zzilch/vposer
# or
# git clone https://github.com/zzilch/vposer && cd vposer
# python setup.py installThis part is same with SMPLX. Put body models and vposer models with file structure below.
models
├── smpl
│ ├── SMPL_FEMALE.pkl
│ └── SMPL_MALE.pkl
│ └── SMPL_NEUTRAL.pkl
├── smplh
│ ├── SMPLH_FEMALE.pkl
│ └── SMPLH_MALE.pkl
├── mano
| ├── MANO_RIGHT.pkl
| └── MANO_LEFT.pkl
├── smplx
| ├── SMPLX_FEMALE.npz
| ├── SMPLX_FEMALE.pkl
| ├── SMPLX_MALE.npz
| ├── SMPLX_MALE.pkl
| ├── SMPLX_NEUTRAL.npz
| └── SMPLX_NEUTRAL.pkl
└── vposer
├── vposer_v1_0 # VPoser v1.0 expr_dir
└── V02_05 # VPoser v2.0 expr_dir
Install the official VPoser to clean the models.
pip install git+https://github.com/nghorbani/human_body_prior
python scripts/clean_models.py
The you wil get the clean check points of VPoser like this
└── vposer
├── vposer_v1_0 # VPoser v1.0 expr_dir
├── V02_05 # VPoser v2.0 expr_dir
├── TR00_E096.pt # clean model v1.0
├── V02_05_epoch=08_val_loss=0.03.ckpt # clean model v2.0
└── V02_05_epoch=13_val_loss=0.03.ckpt # clean model v2.0
- Use VPoser: The VPoser models
vposer.VPoserV1andvposer.VPoserV2are borrowed from the offical SMPLX. Usevp = vposer.create(path_to_checkpoint,version)to create and load a VPoser model. - Use body model with VPoser: Use
vposer.VPoserBodyModel(bm,vp)to create body model with VPoser, wherebmis a body model or layer from SMPLX.
Check examples for more details
pip install pyvista
python examples/sample.py
python examples/ik.py
Please cite the following paper if you use this code directly or indirectly in your research/projects:
@inproceedings{SMPL-X:2019,
title = {Expressive Body Capture: 3D Hands, Face, and Body from a Single Image},
author = {Pavlakos, Georgios and Choutas, Vasileios and Ghorbani, Nima and Bolkart, Timo and Osman, Ahmed A. A. and Tzionas, Dimitrios and Black, Michael J.},
booktitle = {Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
year = {2019}
}
Software Copyright License for non-commercial scientific research purposes. Please read carefully the terms and conditions and any accompanying documentation before you download and/or use the SMPL-X/SMPLify-X model, data and software, (the "Model & Software"), including 3D meshes, blend weights, blend shapes, textures, software, scripts, and animations. By downloading and/or using the Model & Software (including downloading, cloning, installing, and any other use of this github repository), you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Model & Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License.