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# first, make sure that your conda is setup properly with the right environment# for that, check that `which conda`, `which pip` and `which python` points to the# right path. From a clean conda env, this is what you need to do
conda create --name SAF-FCOS
conda activate SAF-FCOS
# this installs the right pip and dependencies for the fresh python
conda install ipython
# FCOS and coco api dependencies
pip install ninja yacs cython matplotlib tqdm
# follow PyTorch installation in https://pytorch.org/get-started/locally/# we give the instructions for CUDA 10.2
conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch
export INSTALL_DIR=$PWD# install pycocotools. Please make sure you have installed cython.cd$INSTALL_DIR
git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
python setup.py build_ext install
# install nuScenes api.
pip install nuscenes-devkit
# install scikit-image
pip install scikit-image
# install opencv
pip install opencv-python
# install SAF-FCOScd$INSTALL_DIR
git clone https://github.com/Singingkettle/SAF-FCOS.git
cd SAF-FCOS
# the following will install the lib with# symbolic links, so that you can modify# the files if you want and won't need to# re-build it
python setup.py build develop --no-deps
unset INSTALL_DIR
# or if you are on macOS# MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py build develop