Opencv编译安装教程（Linux）

一、安装环境

虚拟机：Ubuntu 22.04

opencv版本：opencv-4.5.2、opencv_contrib-4.5.2、cvui-2.9.0-beta

二、编译opencv和**opencv_contrib **

1、源码下载：

opencv：https://github.com/opencv/opencv

链接2： https://opencv.org/releases/

github下载

opencv_contrib： https://github.com/opencv/opencv_contrib

注意事项:opencv_contrib和opencv版本要对应

2、安装前准备

在自己虚拟机的主目录中创建一个opencv_build，将两个源码包解压的文件夹放入

其中：

mkdir ~/opencv_build && cd ~/opencv_build/opencv-4.5.2/

mkdir build

cd build

安装依赖项

安装g++, cmake, make ,wget, unzip

sudo apt install -y g++

sudo apt install -y cmake

sudo apt install -y make

sudo apt install -y wget

sudo apt install -y unzip

安装opencv依赖的基本库

sudo apt-get install build-essential libgtk2.0-dev libgtk-3-devlibavcodec-dev libavformat-dev libjpeg-dev libswscale-dev libtiff5-dev

3、编译安装

cmake配置

sudo cmake -DCMAKE_BUILD_TYPE=RELEASE -

DCMAKE_INSTALL_PREFIX=/usr/local -

DOPENCV_EXTRA_MODULES_PATH=/home/pjy/opencv_build/opencv_contrib-

4.5.2/modules .. -DWITH_CUDA=1 -DWITH_GTK=ON -

DENABLE_FAST_MATH=1 -DCUDA_FAST_MATH=1 -DWITH_CUBLAS=1 -

DOPENCV_GENERATE_PKGCONFIG=ON -DWITH_GSTREAMER=ON ..

-DOPENCV_EXTRA_MODULES_PATH=**/home/pjy/opencv_build/**opencv_contrib-4.5.2/modules

加粗部分换成自己的路径

-DOPENCV_EXTRA_MODULES_PATH=**/home/pjy/opencv_build/opencv_contrib- **

4.5.2/modules

指明opencv_contrib路径，这样好一起编译

如下图就成功：

make编译

opencv和opencv_contrib版本号一定要对应，不然编译会报错

sudo make -j8

编译完成后，安装

sudo make install

4、环境配置

配置pkg-config环境

sudo gedit /etc/profile.d/pkgconfig.sh

可能为空文件，在文件中加入

export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH

保存并退出，source激活

source /etc/profile

验证是否成功

//查看版本，有输出4.5.2就成功

pkg-config --modversion opencv4

//查看库

pkg-config --libs opencv4

输出类似下面这样即为成功

配置动态库环境

sudo gedit /etc/ld.so.conf.d/opencv4.conf

文件末尾加上

/usr/local/lib

使配置生效

sudo ldconfig

5、demo测试

打开新终端，进入到example_cmake目录

cd ~/opencv_build/opencv-4.5.2/samples/cpp/example_cmake

cmake .

make

./opencv_example

6、最后在qt的.pro中加入头文件路径和库就可以在qt中使用了

#添加opencv头文件

INCLUDEPATH += /usr/local/include/opencv4

INCLUDEPATH += /usr/local/include/opencv4/opencv2

#添加opencv库文件

LIBS += -L/home/geclab/buildroot-2016.11/output/host/usr/arm-none-

linux-gnueabi/sysroot/usr/local/lib -lopencv_gapi -

lopencv_stitching -lopencv_aruco -lopencv_bgsegm -

lopencv_bioinspired -lopencv_ccalib -lopencv_dnn_objdetect -

lopencv_dnn_superres -lopencv_dpm -lopencv_face -lopencv_fuzzy -

lopencv_hfs -lopencv_img_hash -lopencv_intensity_transform -

lopencv_line_descriptor -lopencv_mcc -lopencv_quality -

lopencv_rapid -lopencv_reg -lopencv_rgbd -lopencv_saliency -

lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping

-lopencv_superres -lopencv_optflow -lopencv_surface_matching -

lopencv_tracking -lopencv_highgui -lopencv_datasets -lopencv_text -

lopencv_plot -lopencv_videostab -lopencv_videoio -

lopencv_wechat_qrcode -lopencv_xfeatures2d -lopencv_shape -

lopencv_ml -lopencv_ximgproc -lopencv_video -lopencv_dnn -

lopencv_xobjdetect -lopencv_objdetect -lopencv_calib3d -

lopencv_imgcodecs -lopencv_features2d -lopencv_flann -

lopencv_xphoto -lopencv_photo -lopencv_imgproc -lopencv_core

我一般都是这样写

#添加opencv 的头文件 ARM-OpenCV 环境
INCLUDEPATH += /opencv4-arm/include
INCLUDEPATH += /opencv4-arm/include/opencv4
INCLUDEPATH += /opencv4-arm/include/opencv4/opencv2
#添加OpenCV库文件
LIBS += -L/opencv4-arm/lib -lopencv_world

#Windows OpenCV 环境
#添加头文件
INCLUDEPATH += E:\OpenCV\include
INCLUDEPATH += E:\OpenCV\include\opencv2
#添加库文件
LIBS += E:\OpenCV\x64\mingw\lib\libopencv_*.a

三、cvui的安装

1、源码下载：

https://github.com/Dovyski/cvui

2、编译安装

mkdir -p ~/cvui-2.9.0-beta/build

cmake .

make

sudo make install

3、查看是否安装成功

ls /usr/local/include

四、参考文章

参考博客：
https://blog.csdn.net/weixin_73378881/article/details/132167614?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_baidulandingword~default-0-132167614-blog-125799361.235

https://blog.csdn.net/bjh123hxhdhd/article/details/134608662？spm=1001.2101.3001.6650.2&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-2-134608662-blog-132167614.235%5Ev43%5Econtrol&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7ERate-2-134608662-blog-132167614.235%5Ev43%5Econtrol&utm_relevant_index=5