Vorbereitung:
1、opencv herunterladen
2、Herunterladen CMake
3,
3, 下载MinGw
Entpacken Sie es nach dem Herunterladen und legen Sie es in einem Ordner ab, um die Umgebungsverwaltung zu erleichtern. Ich habe den Ordner umbenannt und es ist normal, dass der Dateiname nach der Dekomprimierung anders ist
Umgebungsvariablenkonfiguration< /span>
C:\Users\wuxulong\cpp_env\MinGw\mingw64\bin
C:\Users\wuxulong\cpp_env\cmake\bin
C:\Users\wuxulong\cpp_env\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\x64\mingw\bin
4. Installieren Sie die vscode-Erweiterung
5. Erstellen Sie eine neue main.cpp
/*********************** 显示指定地址的图片*****************************/
#include<iostream>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
Mat image;
image = imread("test.jpg");
if (image.data == nullptr) //nullptr是c++11新出现的空指针常量
{
cout << "图片文件不存在" << endl;
}
else
{
//显示图片
imshow("meinv", image);
waitKey(0);
}
// 输出图片的基本信息
cout << "图像宽为：" << image.cols << "\t高度为：" << image.rows << "\t通道数为：" << image.channels() << endl;
// 遍历每个像素
//之所以用y这个名字表示行 是因为图片的坐标系中行号就是y
for (size_t y = 0; y < image.rows; y++)
{
unsigned char* row_ptr = image.ptr<unsigned char>(y);
for (size_t x = 0; x < image.cols; ++x) {
//这是获得像素数据数组的头指针，注意像素数据可能会有多个通道所以才需要用数组存储
unsigned char* data_ptr = &row_ptr[x * image.channels()];
//对当前像素逐个通道输出颜色值
for (int i = 0; i < image.channels(); ++i) {
cout << int(data_ptr[i])<<endl;
}
}
}
system("pause");
return 0;
}
6. Erstellen Sie eine neue task.json
{
"version": "2.0.0",
"tasks": [
{
"type": "cppbuild",
"label": "g++.exe build active file",
"command": "C:\\Users\\wuxulong\\cpp_env\\MinGw\\mingw64\\bin\\g++.exe",
"args": [
"-fdiagnostics-color=always",
"-g",
// "-std=c++11",
"${file}",
"-o",
"${fileDirname}\\${fileBasenameNoExtension}.exe",
"-I",
"C:\\Users\\wuxulong\\cpp_env\\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\\include",
"-I",
"C:\\Users\\wuxulong\\cpp_env\\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\\include\\opencv2",
"-L",
"C:\\Users\\wuxulong\\cpp_env\\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\\x64\\mingw\\lib",
"-L",
"C:\\Users\\wuxulong\\cpp_env\\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\\x64\\mingw\\bin",
"-l",
"libopencv_calib3d452",
"-l",
"libopencv_core452",
"-l",
"libopencv_dnn452",
"-l",
"libopencv_features2d452",
"-l",
"libopencv_flann452",
"-l",
"libopencv_gapi452",
"-l",
"libopencv_highgui452",
"-l",
"libopencv_imgcodecs452",
"-l",
"libopencv_imgproc452",
"-l",
"libopencv_ml452",
"-l",
"libopencv_objdetect452",
"-l",
"libopencv_photo452",
"-l",
"libopencv_stitching452",
"-l",
"libopencv_video452",
"-l",
"libopencv_videoio452"
],
"options": {
"cwd": "C:\\mingw64\\bin"
},
"problemMatcher": [
"$gcc"
],
"group": {
"kind": "build",
"isDefault": true//表示快捷键Ctrl+Shift+B可以运行该任务
},
// "group": "build",
"detail": "编译器: C:\\mingw64\\bin\\g++.exe"
}
]
}
7. Erstellen Sie eine neue launch.json
{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "(gdb) Launch",
"preLaunchTask": "g++.exe build active file",//调试前执行的任务，就是之前配置的tasks.json中的label字段
"type": "cppdbg",//配置类型，只能为cppdbg
"request": "launch",//请求配置类型，可以为launch（启动）或attach（附加）
"program": "${fileDirname}\\${fileBasenameNoExtension}.exe",//调试程序的路径名称
"args": [],//调试传递参数
"stopAtEntry": false,
"cwd": "${workspaceFolder}",
"environment": [],
"externalConsole": false,//true显示外置的控制台窗口，false显示内置终端
"MIMode": "gdb",
"miDebuggerPath": "C:\\Users\\wuxulong\\cpp_env\\MinGw\\mingw64\\bin\\gdb.exe",
"setupCommands": [
{
"description": "Enable pretty-printing for gdb",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
]
}
]
}
8. Erstellen Sie eine neue c_cpp_properties.json
{
"configurations": [
{
"name": "Win32",
"includePath": [
"${workspaceFolder}/**",
"C:\\Users\\wuxulong\\cpp_env\\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\\include",//修改这里
"C:\\Users\\wuxulong\\cpp_env\\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\\include\\opencv2"//修改这里
// "C:\\Users\\wuxulong\\cpp_env\\OpenCV-MinGW-Build-OpenCV-4.5.2-x64\\include\\opencv2\\core\\core.hpp"
// "F:\\Tools\\opencv\\build\\include\\opencv"
],
"defines": [
"_DEBUG",
"UNICODE",
"_UNICODE"
],
"windowsSdkVersion": "10.0.18362.0",
"compilerPath": "C:\\Users\\wuxulong\\cpp_env\\MinGw\\mingw64\\bin\\g++.exe",//修改这里
"cStandard": "c11",
//"cStandard": "c17",
"cppStandard": "c++17",
"intelliSenseMode": "gcc-x64"
//"intelliSenseMode": "windows-gcc-x64"
//"intelliSenseMode": "${default}"
}
],
"version": 4
}
9. Führen Sie die Tastenkombination F5 aus
