環境清單：

win10 _64位系統

VSCode：官網地址

Opencv：3.4.5

Cmake：3.9.0

MinGw：MinGW-W64 GCC-8.1.0（x86_64-posix-seh）

MinGW配置：

MinGW可以在線安裝，也可以直接下載文件后離線解壓。

本人選擇的是后者，文件下載連接如上。

下載完成后直接解壓到你的安裝磁盤下。

然后將解壓后bin文件夾的path添加到系統環境變量。例如：D:\mingw-w64\bin。

Cmake配置：

Cmake同樣是下載文件后解壓到安裝磁盤。

然后，將其bin文件夾的path添加到系統環境變量。例如：D:\cmake\bin。

OpenCV配置：

將下載的Opencv文件解壓到安裝磁盤后，通過Cmake選取source路徑和build路徑，如下圖。這里ENABLE_CXX11勾選是指支持C11。

點擊? Configure?進行配置?。因為要是使用MinGW中的C/C++編譯，所以Configure的選擇如下：

C選擇 “D:\mingw-w64\bin\gcc.exe”； C ++選擇 “D:\mingw-w64\bin\g++.exe”

點擊 Genrate

管理員運行cmd后cd到D:\opencv\build\x64\MinGW文件夾下。

輸入minGW32-make編譯，完成編譯后minGW32-make install安裝。

最后，將D:\opencv\build\x64\MinGW\bin添加到系統環境變量中。

VSCode配置：

下載后，安裝C/C++插件，下圖中第一個。

然后，配置tasks.json、launch.json、c_cpp_properties.json這三個文件。

tasks.json：

{"version": "2.0.0","tasks": [{"type": "shell","label": "g++.exe build active file","command": "D:\\mingw-w64\\bin\\g++.exe","args": ["-g", "${file}","-o", "${fileDirname}\\${fileBasenameNoExtension}.exe","-I", "D:/opencv/build/x64/MinGW/install/include","-I", "D:/opencv/build/x64/MinGW/install/include/opencv","-I", "D:/opencv/build/x64/MinGW/install/include/opencv2","-L", "D:/opencv/build/x64/MinGW/install/x64/mingw/lib","-lopencv_core345","-lopencv_imgproc345","-lopencv_imgcodecs345","-lopencv_video345","-lopencv_ml345","-lopencv_highgui345","-lopencv_objdetect345","-lopencv_flann345","-lopencv_imgcodecs345","-lopencv_photo345","-lopencv_videoio345"],"options": {"cwd": "D:\\mingw-w64\\bin"},"problemMatcher": ["$gcc"],"group": {"kind": "build","isDefault": true}}] }

launch.json：

{"version": "0.2.0","configurations": [{"name": "g++.exe build and debug active file","type": "cppdbg","request": "launch","program": "${fileDirname}\\${fileBasenameNoExtension}","args": [],"stopAtEntry": false,"cwd": "${workspaceFolder}","environment": [],"externalConsole": true,"MIMode": "gdb","miDebuggerPath": "D:\\mingw-w64\\bin\\gdb.exe","setupCommands": [{"description": "Enable pretty-printing for gdb","text": "-enable-pretty-printing","ignoreFailures": false}],"preLaunchTask": "g++.exe build active file"}] }

c_cpp_properties.json：

{"configurations": [{"name": "win32","includePath": ["${workspaceFolder}/**","D:/mingw-w64/bin/c++","D:/opencv/build/x64/MinGW/install/include","D:/opencv/build/x64/MinGW/install/opencv","D:/opencv/build/x64/MinGW/install/opencv2","D:/opencv/build/x64/MinGW/install/x64/mingw/lib"],"defines": ["_DEBUG", "UNICODE", "_UNICODE"],"compilerPath": "D:\\mingw-w64\\bin\\gcc.exe","cStandard": "c11","cppStandard": "c++17","intelliSenseMode": "clang-x64"}],"version": 4}

將以上三個文件放在一個新建的.vscode文件夾下，并且將這個文件夾與你的代碼放在同一文件下，就可以F5鍵來調試你的程序了。實例程序：

#include <opencv2/opencv.hpp> #include <iostream>using namespace cv; int main(int argc, char** argv) {Mat src = imread("C:/Users/xiaosong/Desktop/IMAGE/1.jpeg");if (src.empty()) {printf("could not load image...\n");return -1;}namedWindow("test opencv setup", CV_WINDOW_AUTOSIZE);imshow("test opencv setup", src);waitKey(0);return 0;

參考：

1.https://blog.csdn.net/zhaiax672/article/details/88971248

2.https://blog.csdn.net/qq_371203

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