120 lines
4.6 KiB
Docker
120 lines
4.6 KiB
Docker
FROM openvino/ubuntu18_dev:2021.4.2
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ARG PYTHON_VERSION=3.7
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ARG TORCH_VERSION=1.10.0
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ARG TORCHVISION_VERSION=0.11.0
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ARG ONNXRUNTIME_VERSION=1.8.1
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ARG MMCV_VERSION=1.5.3
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USER root
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### change the system source for installing libs
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ARG USE_SRC_INSIDE=false
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RUN if [ ${USE_SRC_INSIDE} == true ] ; \
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then \
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sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list ; \
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sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list ; \
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echo "Use aliyun source for installing libs" ; \
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else \
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echo "Keep the download source unchanged" ; \
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fi
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ca-certificates \
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libopencv-dev libspdlog-dev \
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gnupg \
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libssl-dev \
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libprotobuf-dev protobuf-compiler \
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build-essential \
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libjpeg-dev \
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libpng-dev \
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ccache \
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cmake \
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gcc \
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g++ \
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git \
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vim \
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wget \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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RUN curl -fsSL -v -o ~/miniconda.sh -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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chmod +x ~/miniconda.sh && \
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~/miniconda.sh -b -p /opt/conda && \
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rm ~/miniconda.sh && \
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/opt/conda/bin/conda install -y python=${PYTHON_VERSION} conda-build pyyaml numpy ipython cython typing typing_extensions mkl mkl-include ninja && \
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/opt/conda/bin/conda clean -ya
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### change the pip source for installing packages
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RUN if [ ${USE_SRC_INSIDE} == true ] ; \
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then \
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/opt/conda/bin/pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple; \
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echo "pip using tsinghua source" ; \
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else \
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echo "Keep pip the download source unchanged" ; \
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fi
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### pytorch
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RUN /opt/conda/bin/pip install torch==${TORCH_VERSION}+cpu torchvision==${TORCHVISION_VERSION}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
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ENV PATH /opt/conda/bin:$PATH
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### install open-mim
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RUN /opt/conda/bin/pip install mmcv-full==${MMCV_VERSION} -f https://download.openmmlab.com/mmcv/dist/cpu/torch${TORCH_VERSION}/index.html
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WORKDIR /root/workspace
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### get onnxruntime
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RUN wget https://github.com/microsoft/onnxruntime/releases/download/v${ONNXRUNTIME_VERSION}/onnxruntime-linux-x64-${ONNXRUNTIME_VERSION}.tgz \
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&& tar -zxvf onnxruntime-linux-x64-${ONNXRUNTIME_VERSION}.tgz
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ENV ONNXRUNTIME_DIR=/root/workspace/onnxruntime-linux-x64-${ONNXRUNTIME_VERSION}
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### install onnxruntme and openvino
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RUN /opt/conda/bin/pip install onnxruntime==${ONNXRUNTIME_VERSION} openvino-dev
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### build ncnn
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RUN git clone https://github.com/Tencent/ncnn.git &&\
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cd ncnn &&\
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export NCNN_DIR=$(pwd) &&\
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git submodule update --init &&\
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mkdir -p build && cd build &&\
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cmake -DNCNN_VULKAN=OFF -DNCNN_SYSTEM_GLSLANG=ON -DNCNN_BUILD_EXAMPLES=ON -DNCNN_PYTHON=ON -DNCNN_BUILD_TOOLS=ON -DNCNN_BUILD_BENCHMARK=ON -DNCNN_BUILD_TESTS=ON .. &&\
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make -j$(nproc) &&\
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make install &&\
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cd /root/workspace/ncnn/python &&\
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pip install -e .
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ENV PATH="/root/workspace/ncnn/build/tools/quantize/:${PATH}"
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### install mmdeploy
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WORKDIR /root/workspace
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ARG VERSION
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RUN git clone https://github.com/open-mmlab/mmdeploy.git &&\
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cd mmdeploy &&\
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if [ -z ${VERSION} ] ; then echo "No MMDeploy version passed in, building on master" ; else git checkout tags/v${VERSION} -b tag_v${VERSION} ; fi &&\
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git submodule update --init --recursive &&\
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rm -rf build &&\
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mkdir build &&\
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cd build &&\
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cmake -DMMDEPLOY_TARGET_BACKENDS=ncnn -Dncnn_DIR=/root/workspace/ncnn/build/install/lib/cmake/ncnn .. &&\
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make -j$(nproc) &&\
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cmake -DMMDEPLOY_TARGET_BACKENDS=ort .. &&\
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make -j$(nproc) &&\
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cd .. &&\
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pip install -e .
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### build SDK
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ENV LD_LIBRARY_PATH="/root/workspace/mmdeploy/build/lib:/opt/intel/openvino/deployment_tools/ngraph/lib:/opt/intel/openvino/deployment_tools/inference_engine/lib/intel64:${LD_LIBRARY_PATH}"
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RUN cd mmdeploy && rm -rf build/CM* && mkdir -p build && cd build && cmake .. \
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-DMMDEPLOY_BUILD_SDK=ON \
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-DMMDEPLOY_BUILD_EXAMPLES=ON \
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-DCMAKE_CXX_COMPILER=g++-7 \
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-DONNXRUNTIME_DIR=${ONNXRUNTIME_DIR} \
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-Dncnn_DIR=/root/workspace/ncnn/build/install/lib/cmake/ncnn \
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-DInferenceEngine_DIR=/opt/intel/openvino/deployment_tools/inference_engine/share \
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-DMMDEPLOY_TARGET_DEVICES=cpu \
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-DMMDEPLOY_BUILD_SDK_PYTHON_API=ON \
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-DMMDEPLOY_TARGET_BACKENDS="ort;ncnn;openvino" \
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-DMMDEPLOY_CODEBASES=all &&\
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cmake --build . -- -j$(nproc) && cmake --install . &&\
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export SPDLOG_LEVEL=warn &&\
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if [ -z ${VERSION} ] ; then echo "Built MMDeploy master for CPU devices successfully!" ; else echo "Built MMDeploy version v${VERSION} for CPU devices successfully!" ; fi
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