requirements.txt

# pip install -U -r requirements.txt
# pycocotools requires numpy 1.17 https://github.com/cocodataset/cocoapi/issues/356
numpy == 1.17.5
opencv-python >= 4.1
torch == 1.4.0
torchvision==0.5.0

matplotlib
pycocotools
tqdm
pillow
tensorboard >= 1.14
PyYAML
thop


# Nvidia Apex (optional) for mixed precision training --------------------------
# git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex

# Conda commands (in place of pip) ---------------------------------------------
# conda update -yn base -c defaults conda
# conda install -yc anaconda numpy opencv matplotlib tqdm pillow ipython
# conda install -yc conda-forge scikit-image pycocotools tensorboard
# conda install -yc spyder-ide spyder-line-profiler
# conda install -yc pytorch pytorch torchvision
# conda install -yc conda-forge protobuf numpy && pip install onnx  # https://github.com/onnx/onnx#linux-and-macos