ubuntu16.04环境轻松安装和应用opencv4.9.0（基于源码编译）

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 
#include 
#include 
#include 

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