-
install the virtual environment and pytorch:
conda create --name env_name python=3.6 source activate env_name pip install torch==1.10.0+cu111 torchvision==0.11.0+cu111 torchaudio==0.10.0 -f https://download.pytorch.org/whl/torch_stable.html -
install cmake:
conda install cmake -
install sparse conv:
pip install spconv-cu111 -
install Waymo evaluation module:
pip install waymo-open-dataset-tf-2-0-0 -
install the requirements of LoGoNet:
cd LoGoNet && pip install -r requirements.txt -
install the requirements of image_modules:
cd LoGoNet/detection/models/image_modules/swin_model && pip install -r requirements.txt && python setup.py develop -
compile LoGoNet:
cd LoGoNet/utils && python setup.py develop -
compile the specific algorithm module:
cd LoGoNet/detection && python setup.py develop -
compile the specific dcn module:
cd LoGoNet/detection/al3d_det/models/ops && python setup.py develop