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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 scene_graph_benchmark
conda activate scene_graph_benchmark
# this installs the right pip and dependencies for the fresh python
conda install ipython
conda install scipy
conda install h5py
# scene_graph_benchmark and coco api dependencies
pip install ninja yacs cython matplotlib tqdm opencv-python overrides
# follow PyTorch installation in https://pytorch.org/get-started/locally/# we give the instructions for CUDA 10.0
conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
export INSTALL_DIR=$PWD# install pycocotoolscd$INSTALL_DIR
git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
python setup.py build_ext install
# install apexcd$INSTALL_DIR
git clone https://github.com/NVIDIA/apex.git
cd apex
python setup.py install --cuda_ext --cpp_ext
unset INSTALL_DIR