vscode opencv vscode opencv 4.7

文章目录

• 内容
• 写在前面（安装包可去官网下载）
• 环境搭建过程

• 1 vscode安装：
• MinGW-w64安装
• Opencv编译
• vscode配置opencv，并test运行

• 代码运行测试

内容

windows10系统下安装opencv4.7.0+VSCode+(C++)环境搭建

写在前面（安装包可去官网下载）

1.VScode最新版
2.Opencv：opencv-4.7.0、opencv_contrib-4.7.0（扩展库，可自选是否安装）
3.MinGW-w64：选择GCCWindows版本
4.c-make工具：最新版，应选择二进制版本
注意：

• (1)以上安装包目录文件中不应包含空格空格和其他非法字符，否则后面会出问题；
• (2)系统已安装或配置Python和Java对应版本，切记安装路径不能包含空格和其他非法字符；
• (3)c-make解压至系统盘，放其他盘，后面cmake build可能会报错。

环境搭建过程

1 vscode安装：

打开解压好的vscode,运行code.exe进行安装配置，完成后，打开vscode配置c/c++扩展库(想中文显示面板，可在此查找中文插件，安装)。详细步骤如下：

MinGW-w64安装

将其安装包解压后再系统环境变量中添加并保存其bin的Path：如E:\MinGW\bin（避免非法字符）。然后再cmd中输入gcc -version，若如下显示则表示配置成功。

Opencv编译

1.解压c-make包，运行cmake包中bin目录的cmake-gui.exe（如C:\cmake-3.26.0-rc3-windows-x86_64\bin）

注

• (1)在"Specify the generator for this project"选择时，应选"MinGW Makefiles",编辑器可根据自己实际情况选择，若无要求，则使用默认编译器;
• (2)opencv扩展安装：在上述step3执行无误后，在Search中输入extra，并选择扩展路径E:\Microsoft-VS-Code\opencv_contrib-4.7.0。点击configure，配置完成后即可点击generate。

2. 完成配置后，在自己创建的build文件夹==(用于存放opencv编译结果)==中，按住shift+鼠标右键，进入powershell窗口：

• (1) 输入 MinGW32-make 开始编译，若缺宝库则会很慢（性能较好的笔记本可用 MinGW32-make -j4 ，多CPU同时编译）。
• (2)编译完成，输入：MinGW32-make install 进行安装。
• (3)添加编译后的文件环境变量：E:\Microsoft-VS-Code\opencv-4.7.0_build

vscode配置opencv，并test运行

如图，进行创建vscode代码的存储文件夹、配置json文件夹：

对应json文件配置内容如下所示：

• c_cpp_properties.json
  需配置“includePath” (make生成的文件夹对应位置) 和"compilerPath" (gcc编译器所在位置)

{
    "configurations": [
        {
            "name": "Win32",
            "includePath": [
                "${workspaceFolder}/**",
                "E:/Microsoft-VS-Code/opencv-4.7.0_build/install/include",
                "E:/Microsoft-VS-Code/opencv-4.7.0_build/install/include/opencv2"
    
            ],
            "defines": [
                "_DEBUG",
                "UNICODE",
                "_UNICODE"
            ],
            "compilerPath": "E:/MinGW/bin/gcc.exe",
            "cStandard": "c11",
            "cppStandard": "c++17",
            "intelliSenseMode": "clang-x64"
        }
    ],
    "version": 4
}

• launch.json

{
        "version": "0.2.0",
        "configurations": [
        {
            "name": "(gdb) Launch", 
            "type": "cppdbg", 
            "request": "launch", 
            "program": "${fileDirname}/${fileBasenameNoExtension}.exe", 
            "args": [], 
            "stopAtEntry": false, 
            "cwd": "${workspaceFolder}", 
            "environment": [], 
            "externalConsole": true, 
            "MIMode": "gdb", 
            "miDebuggerPath": "E:/MinGW/bin/gdb.exe", 
            "setupCommands": [
                { 
                    "description": "Enable pretty-printing for gdb",
                    "text": "-enable-pretty-printing",
                    "ignoreFailures": true
                }
            ],
            "preLaunchTask": "Compile" 
        }
    ]
}

• Task.json

注意："command"中g++的配置，如：“E:/MinGW/bin/g++.exe”，以及其他路径的配置。libopencv_core470中的 “470” 表示对应的opencv版本。

{
    "tasks": [
        {
            "label": "Compile",
            "command": "E:/MinGW/bin/g++.exe",
            "args": [
                "-g",
                "${file}",
                "-o",
                "${fileDirname}\\${fileBasenameNoExtension}.exe",
                "-m64",
                "-Wall",
                "-static-libgcc",
                "-finput-charset=UTF-8",
                "-fexec-charset=GBK",
                "-std=c++17",
                "-I",
                "E:/Microsoft-VS-Code/opencv-4.7.0_build/install/include",
                "-I",
                "E:/Microsoft-VS-Code/opencv-4.7.0_build/install/include/opencv2",
                "-L",
                "E:/Microsoft-VS-Code/opencv-4.7.0_build/install/x64/mingw/lib",
                "-l",
                "libopencv_calib3d470",
                "-l",
                "libopencv_core470",
                "-l",
                "libopencv_dnn470",
                "-l",
                "libopencv_features2d470",
                "-l",
                "libopencv_flann470",
                "-l",
                "libopencv_gapi470",
                "-l",
                "libopencv_highgui470",
                "-l",
                "libopencv_imgcodecs470",
                "-l",
                "libopencv_imgproc470",
                "-l",
                "libopencv_ml470",
                "-l",
                "libopencv_objdetect470",
                "-l",
                "libopencv_photo470",
                "-l",
                "libopencv_stitching470",
                "-l",
                "libopencv_video470",
                "-l",
                "libopencv_videoio470"
            ],
            "type": "process",
            "problemMatcher": "$gcc",
            "group": "build",
            "presentation": {
                "echo": true,
                "reveal": "always",
                "focus": false,
                "panel": "shared"
            }
        },
        {
            "type": "cppbuild",
            "label": "C/C++: g++.exe 生成活动文件",
            "command": "E:\\MinGW\\bin\\g++.exe",
            "args": [
                "-fdiagnostics-color=always",
                "-g",
                "${file}",
                "-o",
                "${fileDirname}\\${fileBasenameNoExtension}.exe"
            ],
            "options": {
                "cwd": "${fileDirname}"
            },
            "problemMatcher": [
                "$gcc"
            ],
            "group": {
                "kind": "build",
                "isDefault": true
            },
            "detail": "调试器生成的任务。"
        }
    ],
    "version": "2.0.0"
}

代码运行测试

• demo

#include<opencv2/opencv.hpp>
#include<opencv2/highgui.hpp>
using namespace cv;

int main()
{
    Mat img=imread("C:/Users/Administrator/Desktop/test.jpg");
    //Mat resize_img(img);
    Size dsize = Size(round(0.3 * img.cols), round(0.3 * img.rows));//Size型 改变尺寸
    resize(img, img, dsize, 0, 0, INTER_LINEAR); //使用双线性插值缩放一下尺寸
    //resize(img, resize_img, Size(img.cols/7, img.rows/7));
    cv::imshow("test",img);
    cv::waitKey();
    system("pause");
    return 0;
}

• 在vscode中按F5运行，结果如下：



• 如上图所示，则表示已完成了相关的安装配置，可进行下一步开发测试。
•