50 lines
1.7 KiB
Docker
50 lines
1.7 KiB
Docker
FROM nvcr.io/nvidia/tensorflow:22.08-tf2-py3
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ARG DEBIAN_FRONTEND=noninteractive
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ENV LANG=C.UTF-8
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ENV LC_ALL=C.UTF-8
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WORKDIR /
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RUN apt-get update && apt-get install -y --no-install-recommends feh
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RUN apt-get update && apt-get install -y --no-install-recommends python3-opencv
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RUN pip uninstall -y opencv-python && pip install --no-cache "opencv-python<4.3"
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# Show matplotlib images
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RUN apt-get update && apt-get install -y --no-install-recommends python3-tk
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# Update pip to allow installation of skelda in editable mode
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RUN pip3 install --upgrade --no-cache-dir pip
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# Install pytorch
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RUN pip3 install --upgrade --no-cache-dir "torch<2.0"
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RUN pip3 install --upgrade --no-cache-dir "torchvision<0.15"
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# Install MMPose
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RUN pip3 install --upgrade --no-cache-dir openmim
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RUN mim install mmengine
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RUN mim install "mmcv>=2,<2.2.0"
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RUN mim install "mmdet>=3"
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RUN mim install "mmpose>=1.1.0"
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# Fix an error when importing mmpose
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RUN pip3 install --upgrade --no-cache-dir numpy scipy
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RUN git clone --depth=1 --branch=main https://github.com/open-mmlab/mmpose.git
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# Download pretrained model
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COPY scripts/utils_2d_pose.py /
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RUN python3 -c "from utils_2d_pose import load_model; load_model();"
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RUN python3 -c "from utils_2d_pose import load_wb_model; load_wb_model();"
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# Fix an undefined symbol error with ompi
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RUN echo "ldconfig" >> ~/.bashrc
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# Install swig and later dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends build-essential
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RUN apt-get update && apt-get install -y --no-install-recommends swig
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RUN apt-get update && apt-get install -y --no-install-recommends libopencv-dev
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COPY ./skelda/ /skelda/
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RUN pip3 install --no-cache-dir -e /skelda/
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WORKDIR /RapidPoseTriangulation/
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CMD ["/bin/bash"]
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