Ubuntu20.04 配置VScode+Opencv+cmake（C++）

  下面介绍Ubuntu20.04下安装opencv，然后将VScode链接到opencv
先主体按照—>点我：链接1<—安装，但是特别注意：安装依赖库的时候会失败，需要增加源，再把下列命令替换

sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main"


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

替换为下列命令

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

这时候我们依赖库已经安装好了，可以选择不装python的支持，毕竟我们是C++的嘛~
安装好后，我们需要配置c_cpp_properties.json、launch.json、tasks.json（如果vscode没有这三个文件，先自行百度怎么弄出这三个文件来）

  接下来我贴出三个文件的配置来
c_cpp_properties.json

{
    "configurations": [
        {
            "name": "Linux",
            "includePath": [
                "${workspaceFolder}/**",               
                "/usr/include/opencv4", //请确保你的opencv opencv2头文件夹安装在这个目录
                "/usr/include/opencv4/opencv2"
            ],
            "defines": [],
            "compilerPath": "/usr/bin/gcc",
            "cStandard": "gnu17",
            "cppStandard": "gnu++14",
            "intelliSenseMode": "gcc-x64"
        }
    ],
    "version": 4

launch.json

{
    "version": "0.2.0",
    "configurations": [        
        {
            "name": "g++.exe - 生成和调试活动文件",
            "type": "cppdbg",                                 // 只能是cppdbg
            "request": "launch",                              // launch：启动，attach：附加
            "program": "${fileDirname}/${filebasenameNoExtension}",   // 需要调试的程序
            "args": [],                                       // 调试时传递给程序的参数
            "stopAtEntry": false,                             // 调试时是否停在程序入口：{true：是，false：否}
            "cwd": "${workspaceFolder}",                      // 工作目录
            "environment": [],                                // 额外的环境变量
            "externalConsole": false,                         // true：输出到外部终端；false：只输出到软件终端（有显示不全的可能）
            "MIMode": "gdb",
            "setupCommands": [      // 暂时不知道作用
                {
                    "description": "为 gdb 启用整齐打印",
                    "text": "-enable-pretty-printing",
                    "ignoreFailures": true
                }
            ],
            "preLaunchTask": "C/C++: g++ build active file",   // 预编译任务名称，和tasks.json中的label必须相同
            "miDebuggerPath": "/usr/bin/gdb"                   // 调试gdb路径
        }
    ]

tasks.json

{
    "tasks": [
        {
            "type": "cppbuild",
            "label": "C/C++: g++ build active file",
            "command": "/usr/bin/g++",
            "args": [
                "-g","-std=c++11", 
                //"${file}",                            // 单个cpp文件
                "${workspaceFolder}/Demo/*.cpp",        // 多个cpp文件
                "${workspaceFolder}/src/*.cpp",
                "-o", 
                "${fileDirname}/${filebasenameNoExtension}",  // 要调试的程序，必须与launch.json文件中的"program"相同
                "-I", "${workspaceFolder}/include",     // 项目include文件
                "-I", "$/usr/include/opencv4",          // opencv安装的include文件路径
                "-I", "$/usr/include/opencv4/opencv2",  
                "-L", "$/usr/local/lib",                //opencv安装的lib文件路径
                "-l", "opencv_core",                    //.so文件，文件原名称“libopencv_core.so”,注意需去除“lib”
                "-l", "opencv_imgproc",
                "-l", "opencv_imgcodecs",
                "-l", "opencv_video",
                "-l", "opencv_ml",
                "-l", "opencv_highgui",
                "-l", "opencv_objdetect",
                "-l", "opencv_flann",
                "-l", "opencv_imgcodecs",
                "-l", "opencv_photo",
                "-l", "opencv_videoio",    
            ],
            "options": {
                "cwd": "${workspaceFolder}"
            },
            "problemMatcher": [
                "$gcc"
            ],
            "group": {
                "kind": "test",
                "isDefault": true
            },
            "detail": "调试器生成任务"
        }
    ],
    "version": "2.0.0"

  至此我们已经配置好了，那么可以来测试下啦（如下图，自己加上test.jpg）

贴出测试代码

#include
#include
#include
#include 
using namespace std;
using namespace cv;
int main()
{
    Mat srcImage=imread("test.jpg");
    imshow("Origin",srcImage);
    waitKey(0);
    return 0;
}