宝塔Linux Centos8安装OpenCV 4.5.5

从 CentOS 源仓库安装 OpenCV

dnf install opencv opencv-devel opencv-python
一旦安装完成，验证 OpenCV是否存在，输入：
pkg-config –modversion opencv
3.4.1

缺点就是版本老，我php-opencv需要4.0.0+，所以只能编译安装

1.安装必要的和可选的依赖软件包：

dnf install -y wget pkg-config cmake git epel-release gcc gcc-c++ cmake3 qt5-qtbase-devel python3 python3-devel python3-pip cmake python3-devel python3-numpy gtk2-devel libpng-devel jasper-devel openexr-devel libwebp-devel libjpeg-turbo-devel libtiff-devel tbb-devel libv4l-devel eigen3-devel freeglut-devel mesa-libGL mesa-libGL-devel boost boost-thread boost-devel gstreamer1-plugins-base

2.克隆所有的OpenCV和OpenCV contrib源：

git clone https://gitee.com/mirrors/opencv.git && git clone https://gitee.com/mirrors/opencv_contrib.git
#git clone https://github.com/opencv/opencv.git && git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib && git checkout 4.5.5 && cd ../opencv && git checkout 4.5.5 && cd ..

3.一旦下载完成，创建一个临时构建目录，并且切换到这个目录：

mkdir build && cd build

使用 CMake 命令配置 OpenCV 构建：

cmake3 -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules -D BUILD_EXAMPLES=ON ~/opencv

最后输出将会如下：

-- Configuring done
-- Generating done
-- Build files have been written to: /home/vagrant/opencv_build/opencv/build

但是因为服务器原因，导致有些第三方库无法下载，只好找日志，一个一个手动下载移动解压到对应目录

#cmake_download "/root/opencv/.cache/ippicv/7421de0095c7a39162ae13a6098782f9-ippicv_2020_lnx_intel64_20191018_general.tgz" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/a56b6ac6f030c312b2dce17430eef13aed9af274/ippicv/ippicv_2020_lnx_intel64_20191018_general.tgz"
#cmake_download "/root/opencv/.cache/ade/b624b995ec9c439cbc2e9e6ee940d3a2-v0.1.1f.zip" "https://github.com/opencv/ade/archive/v0.1.1f.zip"
#cmake_download "/root/opencv/.cache/wechat_qrcode/238e2b2d6f3c18d6c3a30de0c31e23cf-detect.caffemodel" "https://raw.githubusercontent.com/WeChatCV/opencv_3rdparty/a8b69ccc738421293254aec5ddb38bd523503252/detect.caffemodel"
#cmake_download "/root/opencv/.cache/wechat_qrcode/6fb4976b32695f9f5c6305c19f12537d-detect.prototxt" "https://raw.githubusercontent.com/WeChatCV/opencv_3rdparty/a8b69ccc738421293254aec5ddb38bd523503252/detect.prototxt"
#cmake_download "/root/opencv/.cache/wechat_qrcode/cbfcd60361a73beb8c583eea7e8e6664-sr.caffemodel" "https://raw.githubusercontent.com/WeChatCV/opencv_3rdparty/a8b69ccc738421293254aec5ddb38bd523503252/sr.caffemodel"
#cmake_download "/root/opencv/.cache/wechat_qrcode/69db99927a70df953b471daaba03fbef-sr.prototxt" "https://raw.githubusercontent.com/WeChatCV/opencv_3rdparty/a8b69ccc738421293254aec5ddb38bd523503252/sr.prototxt"
#cmake_download "/root/opencv/.cache/xfeatures2d/boostdesc/0ea90e7a8f3f7876d450e4149c97c74f-boostdesc_bgm.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_bgm.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/boostdesc/232c966b13651bd0e46a1497b0852191-boostdesc_bgm_bi.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_bgm_bi.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/boostdesc/324426a24fa56ad9c5b8e3e0b3e5303e-boostdesc_bgm_hd.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_bgm_hd.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/boostdesc/202e1b3e9fec871b04da31f7f016679f-boostdesc_binboost_064.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_binboost_064.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/boostdesc/98ea99d399965c03d555cef3ea502a0b-boostdesc_binboost_128.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_binboost_128.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/boostdesc/e6dcfa9f647779eb1ce446a8d759b6ea-boostdesc_binboost_256.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_binboost_256.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/boostdesc/0ae0675534aa318d9668f2a179c2a052-boostdesc_lbgm.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_lbgm.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/vgg/e8d0dcd54d1bcfdc29203d011a797179-vgg_generated_48.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_48.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/vgg/7126a5d9a8884ebca5aea5d63d677225-vgg_generated_64.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_64.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/vgg/7cd47228edec52b6d82f46511af325c5-vgg_generated_80.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_80.i"
#cmake_download "/root/opencv/.cache/xfeatures2d/vgg/151805e03568c9f490a5e3a872777b75-vgg_generated_120.i" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_120.i"
#cmake_download "/root/opencv/.cache/data/7505c44ca4eb54b4ab1e4777cb96ac05-face_landmark_model.dat" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/8afa57abc8229d611c4937165d20e2a2d9fc5a12/face_landmark_model.dat"

4.运行下面的命令开始编译：

make -j8

根据你的处理器修改-f值。如果你不知道你的处理器核心数，你可以输入nproc找到。

5.安装 OpenCV 库

make install

6.创建链接文件opencv4.pc指向/usr/share/pkgconfig目录，并且运行ldconfig来重建库缓存：

ln -s /usr/local/lib64/pkgconfig/opencv4.pc /usr/share/pkgconfig/
ldconfig

最后检查OpenCV版本，输入：

pkg-config --modversion opencv4
--4.5.5

至此，opencv终于编译安装完成。

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宝塔Linux Centos8安装OpenCV 4.5.5

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