# Installation WHAM has been implemented and tested on Ubuntu 20.04 and 22.04 with python = 3.9. We provide [anaconda](https://www.anaconda.com/) environment to run WHAM as below. ```bash # Clone the repo git clone https://github.com/yohanshin/WHAM.git --recursive cd WHAM/ # Create Conda environment conda create -n wham python=3.9 conda activate wham # Install PyTorch libraries conda install pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch # Install PyTorch3D (optional) for visualization conda install -c fvcore -c iopath -c conda-forge fvcore iopath pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py39_cu113_pyt1110/download.html # Install WHAM dependencies pip install -r requirements.txt # Install ViTPose pip install -v -e third-party/ViTPose # Install DPVO cd third-party/DPVO wget https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.zip unzip eigen-3.4.0.zip -d thirdparty && rm -rf eigen-3.4.0.zip conda install pytorch-scatter=2.0.9 -c rusty1s conda install cudatoolkit-dev=11.3.1 -c conda-forge # ONLY IF your GCC version is larger than 10 conda install -c conda-forge gxx=9.5 pip install . ```