Moved onnx build to main dockerfile.
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18
README.md
18
README.md
@ -21,6 +21,24 @@ Fast triangulation of multiple persons from multiple camera views.
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cd RapidPoseTriangulation/
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```
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- Enable gpu-access while building docker images:
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```bash
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# Open file:
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sudo nano /etc/docker/daemon.json
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# Add:
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{
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"default-runtime": "nvidia",
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"runtimes": {
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"nvidia": {
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"path": "nvidia-container-runtime",
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"runtimeArgs": []
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}
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}
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}
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# Restart docker
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sudo systemctl restart docker
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```
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- Build docker container:
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```bash
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docker build --progress=plain -t rapidposetriangulation .
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16
dockerfile
16
dockerfile
@ -21,7 +21,21 @@ 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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# Install ONNX runtime
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RUN pip3 install --upgrade --no-cache-dir onnxruntime-gpu
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# See: https://github.com/microsoft/onnxruntime/blob/main/dockerfiles/Dockerfile.tensorrt
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RUN pip3 uninstall -y onnxruntime-gpu
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RUN git clone --recursive --depth=1 --branch=v1.20.1 https://github.com/Microsoft/onnxruntime.git
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ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/cmake-3.30.1-linux-x86_64/bin:${PATH}
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ARG CMAKE_CUDA_ARCHITECTURES=75;80;90
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ENV TRT_VERSION=10.5.0.18
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RUN /bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh
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RUN /bin/sh onnxruntime/dockerfiles/scripts/checkout_submodules.sh ${trt_version}
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RUN ls
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RUN cd onnxruntime && \
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/bin/sh build.sh --allow_running_as_root --parallel --build_shared_lib \
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--cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt \
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--tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests \
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--skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
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RUN cd onnxruntime && pip install build/Linux/Release/dist/*.whl
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# Install skelda
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RUN pip3 install --upgrade --no-cache-dir scipy
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@ -1,23 +1,6 @@
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FROM rapidposetriangulation
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WORKDIR /
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# Install ONNX runtime
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# See: https://github.com/microsoft/onnxruntime/blob/main/dockerfiles/Dockerfile.tensorrt
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RUN pip3 uninstall -y onnxruntime-gpu
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RUN git clone --recursive --depth=1 --branch=v1.20.1 https://github.com/Microsoft/onnxruntime.git
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ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/cmake-3.30.1-linux-x86_64/bin:${PATH}
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ARG CMAKE_CUDA_ARCHITECTURES=75;80;90
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ENV TRT_VERSION=10.5.0.18
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RUN /bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh
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RUN /bin/sh onnxruntime/dockerfiles/scripts/checkout_submodules.sh ${trt_version}
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RUN ls
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RUN cd onnxruntime && \
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/bin/sh build.sh --allow_running_as_root --parallel --build_shared_lib \
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--cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt \
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--tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests \
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--skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
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RUN cd onnxruntime && pip install build/Linux/Release/dist/*.whl
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# Install ROS2
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# https://docs.ros.org/en/humble/Installation/Ubuntu-Install-Debians.html
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RUN apt-get update && apt-get install -y --no-install-recommends locales
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