80 lines
2.6 KiB
Docker
80 lines
2.6 KiB
Docker
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# thanks to Paul DeCoursey (optimuspaul@github.com) for inspiration
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# see: https://github.com/MVIG-SJTU/AlphaPose/issues/1057
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#FROM nvidia/cuda:11.6.0-cudnn8-devel-ubuntu22.04
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#TODO: fix deprecation with either of these
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#FROM nvidia/cuda:11.6.0-devel-ubuntu20.04
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FROM nvidia/cuda:11.6.2-devel-ubuntu20.04
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#FROM nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04
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#FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
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RUN apt clean
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RUN DEBIAN_FRONTEND=noninteractive apt update && DEBIAN_FRONTEND=noninteractive apt install -y --allow-change-held-packages \
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ffmpeg \
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git \
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build-essential \
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ninja-build \
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cuda-libraries-11-6 \
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mesa-common-dev \
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libosmesa6 libosmesa6-dev \
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libgles2-mesa-dev \
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libglu1-mesa-dev \
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libgles2-mesa-dev \
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libcublas-11-6 \
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libcublas-dev-11-6 \
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libcusparse-dev-11-6 \
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cuda-nvcc-11-6 \
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libcusolver-dev-11-6 \
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cuda-nvrtc-dev-11-6 \
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libcurand-dev-11-6 \
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cuda-nvml-dev-11-6 \
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libcufft-dev-11-6 \
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cuda-toolkit-11-6 \
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nvidia-cuda-toolkit \
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libyaml-dev
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ENV CUDA_HOME='/usr/local/cuda'
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RUN DEBIAN_FRONTEND=noninteractive apt -y install python3 python3-pip
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RUN pip install "torch==1.12.1+cu116" "torchvision==0.13.1+cu116" "torchaudio==0.12.1" --extra-index-url https://download.pytorch.org/whl/cu116
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RUN pip install opencv-contrib-python-headless
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RUN pip install pip --upgrade
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RUN pip install cython pycocotools
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RUN pip install "cython_bbox==0.1.3"
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RUN pip install "numpy==1.22.4"
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RUN apt install -y python3-tk
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RUN python3 -c "import torch; print(torch.version.cuda)"
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RUN mkdir /build
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RUN cd /build && git clone https://github.com/HaoyiZhu/HalpeCOCOAPI.git
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RUN cd /build && git clone https://github.com/MVIG-SJTU/AlphaPose.git
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RUN cd /build/HalpeCOCOAPI/PythonAPI && python3 setup.py build develop --user
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WORKDIR /build/AlphaPose
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# from setup.py; see if it avoids installation issues
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RUN pip install six
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RUN pip install terminaltables scipy matplotlib visdom \
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tqdm tensorboardx easydict \
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pyyaml halpecocotools \
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munkres timm==0.1.20 natsort
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RUN TORCH_CUDA_ARCH_LIST="6.1;7.5;8.6" python3 setup.py build develop --user
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RUN apt install bc -y && \
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pip install boto3 && \
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python3 -c "import torchvision.models as tm; tm.resnet152(pretrained=True)"
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# Resnet 50 is needed for some of the AlphaPose models
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# TODO: alternatively make this a build param/tag for resnet50/152
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# see: https://stackoverflow.com/questions/33935807/how-to-define-a-variable-in-a-dockerfile#37639938
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RUN python3 -c "import torchvision.models as tm; tm.resnet50(pretrained=True)"
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RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 2
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