关于vscode配置opencv

   痛点不在这里，需要明白内在的编译逻辑，而不是表层现象。诸如此类问题今后有很多，不可能每次都翻箱倒柜，需要做的是从容面对，仔细分析，找出问题的根源所在。
    话不多说，直接给出配置的具体方法，这是一个通用版本，只要你是使用的ubutu系统，且安装的是C++版本的opencv基本上都可以通过该方法来实现。
    1 step：首先新建文件夹，并在该文件下创建cpp文件，然后使用vscode打开该文件夹。
    2 step：利用ctrl+shift+p打开command line，寻找launch.json，找到后如下配置该文件。

{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "(gdb) Launch",
            "type": "cppdbg",
            "request": "launch",
            "program": "${workspaceFolder}/${fileBasenameNoExtension}.o",
            "args": [],
            "stopAtEntry": false,
            "cwd": "${workspaceFolder}",
            "environment": [],
            "externalConsole": true,
            "MIMode": "gdb",
            "preLaunchTask": "build",
            "setupCommands": [
                {
                    "description": "Enable pretty-printing for gdb",
                    "text": "-enable-pretty-printing",
                    "ignoreFailures": true
                }
            ]
        }
    ]
}

    3 step：寻找task.json，如下配置该文件。

{
    // See https://go.microsoft.com/fwlink/?LinkId=733558
    // for the documentation about the tasks.json format
    "version": "2.0.0",

    "tasks": [
        {
           // "taskName": "echo",
            "label": "build",
            "type": "shell",
            "command": "/usr/bin/g++",
            "args":[
                "-g", "${file}","-o","${fileBasenameNoExtension}.o",
                "-I","/usr/local/include",
                "-I","/usr/local/include/opencv",
                "-I","/usr/local/include/opencv2",
                "-L","/usr/local/lib",
                "-l","opencv_core",
                "-l","opencv_highgui",
                "-l","opencv_imgproc",
                "-l","opencv_imgcodecs",
                "-l","opencv_video",
                "-l","opencv_videoio"
            ],
        }
    ]
}

    4 step： 寻找c_cpp_properties.json，如下配置该文件。

{
    "configurations": [
        {
            "name": "Linux",
            "includePath": [
                "${workspaceFolder}/**",
                "/usr/local/include",
                "/usr/local/include/opencv",
                "/usr/local/include/opencv2"
                
            ],
            "defines": [],
            "compilerPath": "/usr/bin/gcc",
            "cStandard": "c11",
            "cppStandard": "c++17",
            "intelliSenseMode": "clang-x64"
        }
    ],
    "version": 4
}

    5 step： 如果以上文件找不到，可以在文件加的目录下自行创建。