# EasyMocap - Installation ### 1. Download SMPL models This step is the same as [smplx](https://github.com/vchoutas/smplx#model-loading). To download the *SMPL* model go to [this](http://smpl.is.tue.mpg.de) (male and female models, version 1.0.0, 10 shape PCs) and [this](http://smplify.is.tue.mpg.de) (gender neutral model) project website and register to get access to the downloads section. To download the *SMPL+H* model go to [this project website](http://mano.is.tue.mpg.de) and register to get access to the downloads section. To download the *SMPL-X* model go to [this project website](https://smpl-x.is.tue.mpg.de) and register to get access to the downloads section. **Place them as following:** ```bash data └── smplx ├── J_regressor_body25.npy ├── J_regressor_body25_smplh.txt ├── J_regressor_body25_smplx.txt ├── smpl │   ├── SMPL_FEMALE.pkl │   ├── SMPL_MALE.pkl │   └── SMPL_NEUTRAL.pkl ├── smplh │   ├── MANO_LEFT.pkl │   ├── MANO_RIGHT.pkl │   ├── SMPLH_FEMALE.pkl │   └── SMPLH_MALE.pkl └── smplx ├── SMPLX_FEMALE.pkl ├── SMPLX_MALE.pkl └── SMPLX_NEUTRAL.pkl ``` ### 2. Requirements - python>=3.6 - torch==1.4.0 - torchvision==0.5.0 - opencv-python - [pyrender](https://pyrender.readthedocs.io/en/latest/install/index.html#python-installation): for visualization - chumpy: for loading SMPL model - OpenPose[4]: for 2D pose Some of python libraries can be found in `requirements.txt`. You can test different version of PyTorch.