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# pip install -U -r requirements.txt
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# pip install -U -r requirements.txt
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# pycocotools requires numpy 1.17 https://github.com/cocodataset/cocoapi/issues/356
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Cython
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numpy==1.17
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numpy==1.17
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opencv-python >= 4.1
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opencv-python
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torch >= 1.5
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torch>=1.5.1
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torchvision
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matplotlib
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matplotlib
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pycocotools
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tqdm
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pillow
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pillow
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tensorboard >= 1.14
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tensorboard
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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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# Conda commands (in lieu of pip) ---------------------------------------------
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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 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 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 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 spyder-ide spyder-line-profiler
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# conda install -yc pytorch pytorch torchvision
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# conda install -yc pytorch pytorch torchvision
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# conda install -yc conda-forge protobuf numpy && pip install onnx # https://github.com/onnx/onnx#linux-and-macos
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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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