Note: We follow the guideline provided by MeshTransformer/docs/INSTALL.md

Installation

We provide two ways to install conda environments depending on CUDA versions.

• Conda Environment Installation (CUDA 11.1); model checkpoints were obtained in this environment
• Conda Environment Installation (CUDA 10.1)

Note that OpenDR Renderer is not compatible with recent CUDA versions.

• With CUDA 11.1, we render the 3D mesh output using Pyrender.
• With CUDA 10.1, we render the 3D mesh output using OpenDR or Pyrender.

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Conda Environment Installation (CUDA 11.1)

• Python 3.8
• Pytorch 1.8
• torchvision 0.9.0
• cuda 11.1

We suggest to create a new conda environment and install all the relevant dependencies.

# Create a conda environment, activate the environment and install PyTorch via conda
conda create --name fastmetro python=3.8
conda activate fastmetro
conda install pytorch==1.8.0 torchvision==0.9.0 cudatoolkit=11.1 -c pytorch -c conda-forge

# Install FastMETRO
git clone --recursive https://github.com/postech-ami/FastMETRO.git
cd FastMETRO
python setup.py build develop

# Install requirements
pip install -r requirements.txt

# Install manopth
pip install ./manopth/.

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Conda Environment Installation (CUDA 10.1)

• Python 3.8
• Pytorch 1.4
• torchvision 0.5.0
• cuda 10.1

We suggest to create a new conda environment and install all the relevant dependencies.

# Create a conda environment, activate the environment and install PyTorch via conda
conda create --name fastmetro python=3.8
conda activate fastmetro
conda install pytorch==1.4.0 torchvision==0.5.0 cudatoolkit=10.1 -c pytorch

# Install OpenDR
pip install git+https://gitlab.eecs.umich.edu/ngv-python-modules/opendr.git

# Install FastMETRO
git clone --recursive https://github.com/postech-ami/FastMETRO.git
cd FastMETRO
python setup.py build develop

# Install requirements
pip install -r requirements.txt

# Install manopth
pip install ./manopth/.