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目录

一、环境准备

1、安装cmake

2、安装依赖

3、从github上下载opencv4.9.0.zip

二、安装opencv4.9.0

1、解压4.9.0.zip

2、进入build目录编译

3、安装编译好的相关库

4、修改opencv配置文件并使其生效

5、添加PKG_CONFIG路径，并使其生效

三、opencv环境验证 

1、编译示例文件

2、运行示例 

3、举一反三

---

一、环境准备

1、安装cmake

sudo apt-get install cmake

2、安装依赖

sudo apt-get install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg-dev libswscale-dev libtiff5-dev pkg-config

3、从github上下载opencv4.9.0.zip

关于如何从github上快速下载需要的资源，在这里不详述，后面的文章进行补充😊

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0# wget https://github.com/opencv/opencv/archive/4.9.0.zip
--2024-01-26 21:00:01--  https://github.com/opencv/opencv/archive/4.9.0.zip
正在解析主机 github.com (github.com)... 140.82.xxx.xxx
正在连接 github.com (github.com)|140.82.xxx.xxx|:443... 已连接。
已发出 HTTP 请求，正在等待回应... 302 Found
位置：https://codeload.github.com/opencv/opencv/zip/refs/tags/4.9.0 [跟随至新的 URL]
--2024-01-26 21:00:03--  https://codeload.github.com/opencv/opencv/zip/refs/tags/4.9.0
正在解析主机 codeload.github.com (codeload.github.com)... 20.205.xxx.xxx
正在连接 codeload.github.com (codeload.github.com)|20.205.xxx.xxx|:443... 已连接。
已发出 HTTP 请求，正在等待回应... 200 OK
长度： 未指定 [application/zip]
正在保存至: “4.9.0.zip”

4.9.0.zip                                         [               <=>                                                                              ]  92.98M  3.04MB/s    in 35s     

2024-01-26 21:00:39 (2.64 MB/s) - “4.9.0.zip” 已保存 [97492524]

这里下载时间用了35秒就将opencv4.9.0（近100M）的安装包下载好了(●'◡'●)

二、安装opencv4.9.0

1、解压4.9.0.zip

unzip 4.9.0.zip

2、进入build目录编译

（1）cmake编译

cd opencv-4.9.0
mkdir build
cmake -D CMAKE_INSTALL_PREFIX=/usr/local -D CMAKE_BUILD_TYPE=Release ..

 

编译结束后看到最后三行日志表示编译OK
-- Configuring done
-- Generating done
-- Build files have been written to: /home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/build

（2）make编译
make -j8

......
[100%] Linking CXX executable ../../bin/opencv_test_objdetect
[100%] Built target opencv_perf_video
[100%] Built target opencv_test_objdetect
[100%] Linking CXX executable ../../bin/opencv_test_core
[100%] Built target opencv_test_core

3、安装编译好的相关库

sudo make install
执行后的日志最后几行：

-- Installing: /usr/local/bin/opencv_annotation
-- Set runtime path of "/usr/local/bin/opencv_annotation" to "/usr/local/lib"
-- Installing: /usr/local/bin/opencv_visualisation
-- Set runtime path of "/usr/local/bin/opencv_visualisation" to "/usr/local/lib"
-- Installing: /usr/local/bin/opencv_interactive-calibration
-- Set runtime path of "/usr/local/bin/opencv_interactive-calibration" to "/usr/local/lib"
-- Installing: /usr/local/bin/opencv_version
-- Set runtime path of "/usr/local/bin/opencv_version" to "/usr/local/lib"
-- Installing: /usr/local/bin/opencv_model_diagnostics
-- Set runtime path of "/usr/local/bin/opencv_model_diagnostics" to "/usr/local/lib"

4、修改opencv配置文件并使其生效

sudo vim  /etc/ld.so.conf.d/opencv.conf 
/usr/local/lib  

sudo ldconfig

5、添加PKG_CONFIG路径，并使其生效

sudo vim /etc/bash.bashrc  

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

source /etc/bash.bashrc

 编译安装成功后，我们会发现/usr/local/lib目录中会存在一些opencv相关的so库。

 关于PKG_CONFIG，在这里不详述，后续的文章进行补充😊

三、opencv环境验证 

1、编译示例文件

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake# cmake .
-- The C compiler identification is GNU 5.4.0
-- The CXX compiler identification is GNU 5.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found OpenCV: /usr/local (found version "4.9.0") 
-- OpenCV library status:
--     config: /usr/local/lib/cmake/opencv4
--     version: 4.9.0
--     libraries: opencv_features2d;opencv_objdetect;opencv_photo;opencv_videoio;opencv_imgcodecs;opencv_dnn;opencv_stitching;opencv_ml;opencv_flann;opencv_highgui;opencv_imgproc;opencv_video;opencv_calib3d;opencv_core
--     include path: /usr/local/include/opencv4
-- Configuring done
-- Generating done
-- Build files have been written to: /home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake

 

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake# make
Scanning dependencies of target opencv_example
[ 50%] Building CXX object CMakeFiles/opencv_example.dir/example.cpp.o
[100%] Linking CXX executable opencv_example
[100%] Built target opencv_example

2、运行示例 

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake#./opencv_example

运行结果：

 

3、举一反三

在samples/cpp/test目录下，编写测试代码：

#include <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>using namespace cv;int main()
{std::string image_path = samples::findFile("test.jpg");Mat img = imread(image_path, IMREAD_COLOR);if(img.empty()){std::cout << "Could not read the image: " << image_path << std::endl;return 1;}imshow("Display window", img);return 0;
}

 我们可以看到，将一张图片显示出来了

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