Build Opencv3.4 by docker in Raspberry pi - 在树莓派上通过docker编译opencv3.4.1
文章目录
采用docker编译如下：
为了能在docker执行的时候加速，采用了--build-arg参数，设定了代理地址
在X86上编译如下：
docker build –build-arg HTTP_PROXY=http://192.168.16.254:1080 –build-arg HTTPS_PROXY=http://192.168.16.254:1080 -t jermine/opencv:alpine -f Dockerfile.alpine .
在ARM64上编译操作如下
docker build -t jermine/opencv:alpine-arm64-3.4.1 -f Dockerfile.alpine –build-arg HTTP_PROXY=http://192.168.16.254:1080 –build-arg HTTPS_PROXY=http://192.168.16.254:1080 .
环境变量配置如下：
export OPENCV_DIR=/opt/opencv
export LIBGPUARRAY_DIR=/opt/libgpuarray
export NUM_CORES=8
export NB_UID=1000
export CLONE_TAG=1.0
export OPENCV_VERSION=3.4.1
export OPENCL_ENABLED=OFF
需要的库如下：
apt install g++ python3 python3-dev build-essential cmake pkg-config libprotobuf-dev protobuf-compiler libopencv-dev
wget https://bootstrap.pypa.io/get-pip.py
python3 get-pip.py
Cmake的配置如下：
-D BUILD_opencv_xfeatures2d=OFF \
-D BUILD_opencv_world=OFF \
cmake \
-D PYTHON_EXECUTABLE=$(which python3) \
-D WITH_CUDA=OFF \
-D CMAKE_BUILD_TYPE=RELEASE \
-D BUILD_PYTHON_SUPPORT=ON \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_C_EXAMPLES=ON \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D BUILD_PYTHON_SUPPORT=ON \
-D BUILD_NEW_PYTHON_SUPPORT=ON \
-D PYTHON_DEFAULT_EXECUTABLE=$(which python3) \
-D PYTHON_INCLUDE_DIR=/usr/include/python3.5m \
-D PYTHON_LIBRARY=/usr/lib/arm-linux-gnueabihf/libpython3.5m.so \
-D PYTHON3_NUMPY_INCLUDE_DIRS=/usr/lib/python3/dist-packages/numpy/core/include \
-D OPENCV_EXTRA_MODULES_PATH=$OPENCV_DIR/opencv_contrib-$OPENCV_VERSION/modules \
-D WITH_TBB=ON \
-D WITH_PTHREADS_PF=ON \
-D WITH_OPENNI=OFF \
-D WITH_OPENNI2=ON \
-D WITH_EIGEN=ON \
-D BUILD_DOCS=ON \
-D BUILD_TESTS=ON \
-D BUILD_PERF_TESTS=ON \
-D BUILD_EXAMPLES=ON \
-D WITH_OPENCL=$OPENCL_ENABLED \
-D USE_GStreamer=ON \
-D WITH_GDAL=ON \
-D WITH_CSTRIPES=ON \
-D ENABLE_FAST_MATH=1 \
-D WITH_OPENGL=ON \
-D WITH_QT=OFF \
-D WITH_IPP=ON \
-D WITH_FFMPEG=ON \
-D WITH_V4L=ON .. && \
make -j4 && \
make install && \
ldconfig && \