在 msys2/mingw 下安装及编译 opencv
最简单就是直接安装
pacman -S mingw-w64-x86_64-opencv以下记录一下编译的过程
1. 安装编译工具及第三方库
pacman -S --needed base-devel mingw-w64-x86_64-toolchain unzip gccpacman -S python mingw-w64-x86_64-python2 mingw-w64-x86_64-gtk3 mingw-w64-x86_64-boost pacman -S mingw-w64-x86_64-ogre3d mingw-w64-x86_64-gtk3 mingw-w64-x86_64-vtk mingw-w64-x86_64-eigen3 mingw-w64-x86_64-ccache mingw-w64-x86_64-python-numpy mingw-w64-x86_64-julia mingw-w64-x86_64-lapackpacman -S unzip vim cmake gcc wget unzip protobuf pacman -S mingw-w64-x86_64-libpng mingw-w64-x86_64-libjpeg mingw-w64-x86_64-libtiff mingw-w64-x86_64-libwebppacman -S mingw-w64-x86_64-ffmpeg mingw-w64-x86_64-harfbuzz mingw-w64-x86_64-openblas mingw-w64-x86_64-tesseract-ocr mingw-w64-x86_64-tesseract-data-chi_sim mingw-w64-x86_64-tesseract-data-chi_tra下载 opencv4 源码并解压
wget -O opencv.zip https://github.com/opencv/opencv/archive/4.x.zipwget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.x.zipunzip opencv.zipunzip opencv_contrib.zip编写脚本 build-open.sh
#!/bin/bash
#
mkdir -p build && cd build
# Configure
export PATH=/mingw64/lib:/mingw64/bin:/mingw64/include:$PATH
cmake -DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib-4.x/modules ../opencv-4.x
# Build
cmake --build . -j 8
由于网络速度慢，有几个文件下载超时，我通过迅雷下载好后
https://raw.githubusercontent.com/opencv/opencv_3rdparty/1224f78da6684df04397ac0f40c961ed37f79ccb/ippicv/ippicv_2021.8_lnx_intel64_20230330_general.tgz
https://raw.githubusercontent.com/opencv/opencv_3rdparty/1224f78da6684df04397ac0f40c961ed37f79ccb/ippicv/ippicv_2021.8_win_intel64_20230330_general.zip
https://github.com/opencv/ade/archive/v0.1.2b.zip
https://raw.githubusercontent.com/opencv/opencv_3rdparty/8afa57abc8229d611c4937165d20e2a2d9fc5a12/face_landmark_model.dat
我通过迅雷下载后，复制到相应目录
cp ippicv_2021.8_lnx_intel64_20230330_general.tgz opencv-4.x/3rdparty/ippicv/
cp ippicv_2021.8_win_intel64_20230330_general.zip opencv-4.x/3rdparty/ippicv/
cp -f ade-0.1.2b.zip opencv-4.x/.cache/ade/4f93a0844dfc463c617d83b09011819a-v0.1.2b.zip
cp face_landmark_model.dat opencv-4.x/.cache/data/7505c44ca4eb54b4ab1e4777cb96ac05-face_landmark_model.dat