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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 MEGA -y python=3.7
source activate MEGA
# this installs the right pip and dependencies for the fresh python
conda install ipython pip
# mega and coco api dependencies
pip install ninja yacs cython matplotlib tqdm opencv-python scipy
# follow PyTorch installation in https://pytorch.org/get-started/locally/# we give the instructions for CUDA 10.0
conda install pytorch=1.3.0 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 cityscapesScriptscd$INSTALL_DIR
git clone https://github.com/mcordts/cityscapesScripts.git
cd cityscapesScripts/
python setup.py build_ext install
# install apexcd$INSTALL_DIR
git clone https://github.com/NVIDIA/apex.git
cd apex
python setup.py install --cuda_ext --cpp_ext
# install PyTorch Detectioncd$INSTALL_DIR
git clone https://github.com/Scalsol/mega.pytorch.git
cd mega.pytorch
# 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
pip install 'pillow<7.0.0'unset INSTALL_DIR
# or if you are on macOS# MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py build develop