Arm架构安装opencv(python3)

一、安装python3.5+(或使用已安装版)

yum install -y python36

yum install -y python36-setuptools

yum install -y python36-pip

二、安装numpy

pip3 install numpy（==1.15.1,可选）-i https://pypi.tuna.tsinghua.edu.cn/simple

三、其他包根据错误提供安装即可

四、编译安装opencv-python(官方不支持pip方式安装arm版opencv)

wget https://github.com/opencv/opencv_contrib/archive/3.4.10.zip

wget https://github.com/opencv/opencv/archive/3.4.10.zip

解压以上目录到/root/opencv-build,解压后有两个目录：

/root/opencv-build/opencv-3.4.10
/root/opencv-build/opencv_contrib-3.4.10

进入/root/opencv-build/opencv-3.4.10目录开始编译：
1.mkdir build & cd build
2.cmake -D BUILD_opencv_python3=YES -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local/opencv3.4 -D OPENCV_EXTRA_MODULES=../../opencv_contrib-3.4.10/modules -D PYTHON3_LIBRARIES=/usr/lib64/libpython3.6m.so -D PYTHON3_EXECUTABLE=/usr/bin/python3 -D PYTHON3_NUMPY_INCLUDE_DIRS=/usr/local/lib64/python3.6/site-packages/numpy/core/include/ -D PYTHON3_PACKAGES_PATH=/usr/local/lib64/python3.6/site-packages ..
3.make -j8
4.make install

五、测试

python3 ,import cv2--如不报错则安装成功

六、注意事项

注意cmake过程中的各路径，cmake建议3.x以上，gcc建议5.x以上，要求支持C++11

七、遇到的坑

--没有blas，下载编译即可，最后copy文件到lib和include目录

wget http://www.netlib.org/blas/blas-3.8.0.tgz
cd BLAS-3.8.0/
make -j8
ar rv libblas.a *.o

wget http://www.netlib.org/blas/blast-forum/cblas.tgz
cd CBLAS/
cp ../BLAS-3.8.0/libblas.a ./testing/
Make -j8

--编译后cp三个文件
cp ./include/cblas.h /usr/include/
cp cblas_LINUX.a /usr/lib/
cp libblas.a /usr/lib/

来源：oschina

链接：https://my.oschina.net/farces/blog/4278705

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