An outline to set up the environment and dependencies for this project using Docker.
In the project directory, run the following:
docker build . -t <image-name>docker run -it --gpus all -v $(pwd):/<container_directory> --name <container_name> <image_name>
This will open a shell terminal in the docker container, run the following commands:
source ~/.bashrc
xhost+
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit==11.3.1 -c pytorch -c conda-forge
pip install spconv-cu113==2.1.21
pip uninstall cumm-cu113
pip install cumm-cu113==0.2.8
conda install -c fvcore -c iopath -c conda-forge fvcore iopath
conda install jupyter
pip install scikit-image matplotlib imageio plotly opencv-python
conda install pytorch3d -c pytorch3d
pip install open3d==0.16.0
conda install -c conda-forge plyfile
pip install addict mayavi
python setup.py develop
cd /home
git clone https://github.com/DanielPollithy/pypcd
cd pypcd && pip install .
pip install ruamel.yaml
git config --global --add safe.directory /root
Wandb
pip install wandb
pip install chardet
wandb login
Copy the API key in the terminal and hit enter