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# pip install -U -r requirements.txt |
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Cython |
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numpy==1.17 |
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opencv-python |
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torch>=1.5.1 |
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matplotlib |
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pillow |
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tensorboard |
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PyYAML>=5.3 |
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torchvision |
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scipy |
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tqdm |
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git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI |
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# Nvidia Apex (optional) for mixed precision training -------------------------- |
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# 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 |
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# Conda commands (in place of pip) --------------------------------------------- |
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# conda update -yn base -c defaults conda |
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# conda install -yc anaconda numpy opencv matplotlib tqdm pillow ipython |
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# conda install -yc conda-forge scikit-image pycocotools tensorboard |
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# conda install -yc spyder-ide spyder-line-profiler |
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# conda install -yc pytorch pytorch torchvision |
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# conda install -yc conda-forge protobuf numpy && pip install onnx==1.6.0 # https://github.com/onnx/onnx#linux-and-macos |
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