You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
# 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 maskrcnn_benchmark -y
conda activate maskrcnn_benchmark
# this installs the right pip and dependencies for the fresh python
conda install ipython pip
# maskrcnn_benchmark and coco api dependencies
pip install ninja yacs cython matplotlib tqdm opencv-python
# follow PyTorch installation in https://pytorch.org/get-started/locally/# we give the instructions for CUDA 9.0#conda install -c pytorch pytorch-nightly torchvision cudatoolkit
pip install torch==1.1.0
pip install torchvision==0.3.0
export INSTALL_DIR=$PWD
git clone https://github.com/hzhupku/DCNet
# install pycocotools# modify "cocoeval.py" to store raw results in "~/coco_result.txt"cd$INSTALL_DIR
git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
python setup.py build_ext install
# install apex-96b017a8b40f137abb971c4555d61b2fcbb87648cd$INSTALL_DIR
git clone https://github.com/NVIDIA/apex.git
cd apex
git checkout 96b017a
python setup.py install --cuda_ext --cpp_ext
# install PyTorch Detectioncd$INSTALL_DIRcd DCNet
# 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
unset INSTALL_DIR