VScode C++配置opencv4.5.3——先赞后看，配置成功实属不易-(镜像加速环境w版和配置文件版)

news2024/12/25 0:45:00

前置准备：配置MinGW和CMake

手把手教——class1_VScode配置C++环境_linux vscode cpp配置-CSDN博客文章浏览阅读398次，点赞4次，收藏6次。点击Windows x64 Installer:下载msi文件安装完成后验证。配置gcc文件下bin环境。最后ctrl+F5运行尝试。Win+R 输入cmd。_linux vscode cpp配置https://blog.csdn.net/m0_66701835/article/details/143271400?spm=1001.2014.3001.5501

一.获取opencv文件（w版本需要镜像加速环境或ww）不会的直接下载跳过看部分二

1.下载Opencv

Releases - OpenCVhttps://opencv.org/releases/

2.安装解压

3.打开Cmake选择sources文件和你自己保存文件的路径

4.选择文件

5.去除和勾选以下部分

去除python部分（带python就不要勾选）

勾选BUILD_opencv_world，WITH_OPENGL和BUILD_EXAMPLES，不勾选WITH_IPP、WITH_MSMF和ENABLE_PRECOMPILED_HEADERS（如果有的话），CPU_DISPATCH选空。

重新点击Conf...和Gen...按钮

6.打开你选择的文件夹（我这里是cv2）再打开目录下的bin 输入cmd

7.输入minGW32-make -j 4

然后等待100%，搞定后续会教配置

二.直接下载配置完成的opencv文件

通过百度网盘分享的文件：opencv.zip
链接：https://pan.baidu.com/s/1RtHJ5RA0a28gcw0keDMzmQ?pwd=ki8g
提取码：ki8g
--来自百度网盘超级会员V3的分享

三.配置环境变量

第一个path是：opencv/build/x64/vc15/bin（安装自带）
第二个path是：opencv/build/x64/vc/bin（你创建的）

四.配置文件

1.tasks.json

{
    "version": "2.0.0",
    "tasks": [
        {
            "type": "shell",
            "label": "opencv3.5.2",
            "command": "D:\\zhongyixi\\mingw\\mingw64\\bin\\g++.exe",//你的g++
            "args": [
                "-g",
                "${file}",
                "-o",
                "${workspaceFolder}\\Debugger\\${fileBasenameNoExtension}.exe",
                //上面这个Debugger是我自己定义的，为了方便放置生成的exe文件
//下面都要更改
                "D:\\zhongyixi\\opencv\\opencv4.5.3\\opencv\\build\\x64\\cv2\\bin\\libopencv_world453.dll",
                "-I",
                "D:\\zhongyixi\\opencv\\opencv4.5.3\\opencv\\build\\include",
                "-I",
                "D:\\zhongyixi\\opencv\\opencv4.5.3\\opencv\\build\\include\\opencv2",
            ],
            "options": {
                "cwd": "D:\\zhongyixi\\mingw\\mingw64\\bin"
            },
            "problemMatcher": [
                "$gcc"
            ],
            "group": {
                "kind": "build",
                "isDefault": true
            }
        }
    ]
}

2.c_cpp_properties.json

{
    "configurations": [
        {
            "name": "windows-gcc-x64",
            "includePath": [
                "${workspaceFolder}/**",
                "D:\\zhongyixi\\opencv\\opencv4.5.3\\opencv\\build\\include",
                "D:\\zhongyixi\\opencv\\opencv4.5.3\\opencv\\build\\include\\opencv2"
            ],
            "defines": [],
            "compilerPath": "D:/zhongyixi/mingw/mingw64/bin/gcc.exe",
            "cStandard": "${default}",
            "cppStandard": "${default}",
            "intelliSenseMode": "windows-gcc-x64"
        }
    ],
    "version": 4
}

3.launch.json

{
  "version": "0.2.0",
  "configurations": [
    {
      "name": "opencv debuge",
      "type": "cppdbg",
      "request": "launch",
      "program": "${workspaceFolder}\\Debugger\\${fileBasenameNoExtension}.exe",
      "args": [],
      "stopAtEntry": false,
      "cwd": "${workspaceFolder}",
      "environment": [],
      "externalConsole": true,
      "MIMode": "gdb",
      "miDebuggerPath": "D:\\zhongyixi\\mingw\\mingw64\\bin\\gdb.exe",
      "setupCommands": [
        {
          "description": "为 gdb 启用整齐打印",
          "text": "-enable-pretty-printing",
          "ignoreFailures": false
        }
      ],
      "preLaunchTask": "opencv3.5.2"
    },
//后面是系统生成的
    {
      "name": "C/C++ Runner: Debug Session",
      "type": "cppdbg",
      "request": "launch",
      "args": [],
      "stopAtEntry": false,
      "externalConsole": true,
      "cwd": "c:/Users/user/Desktop/opencvC++/class1",
      "program": "c:/Users/user/Desktop/opencvC++/class1/build/Debug/outDebug",
      "MIMode": "gdb",
      "miDebuggerPath": "gdb",
      "setupCommands": [
        {
          "description": "Enable pretty-printing for gdb",
          "text": "-enable-pretty-printing",
          "ignoreFailures": true
        }
      ]
    }
  ]
}

五.测试运行

#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;
using namespace std;



int main(void)
{
    //更改为你的图片路径
cv::Mat img=cv::imread("C:\\Users\\user\\Desktop\\opencvC++\\k1.png");
cv::imshow("img",img);
cv::waitKey(0);

return 0;
}