十大网站app软件,介绍产品的营销推文,重庆企业网站seo,wordpress 配置ftp准备#xff1a; 1、下载opencv 2、下载MinGw 3、 3、下载CMake 下载完解压放到一个文件夹里面#xff0c;便于环境管理#xff0c;文件夹我重命名了#xff0c;解压出来文件名不一样正常 环境变量配置
C:\Users\wuxulong\cpp_env\MinGw\mingw64\bin
C:\Users\wuxulon…准备 1、下载opencv 2、下载MinGw 3、 3、下载CMake 下载完解压放到一个文件夹里面便于环境管理文件夹我重命名了解压出来文件名不一样正常 环境变量配置
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\bin4、安装vscode扩展 5、新建main.cpp
/*********************** 显示指定地址的图片*****************************/
#includeiostream
#includeopencv2/core/core.hpp
#includeopencv2/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c11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yfor (size_t y 0; y image.rows; y){unsigned char* row_ptr image.ptrunsigned 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、新建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-coloralways,-g,// -stdc11,${file},-o,${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CtrlShiftB可以运行该任务},// group: build,detail: 编译器: C:\\mingw64\\bin\\g.exe}]
}7、新建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/?linkid830387version: 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cppdbgrequest: 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: ${workspaceFolder},environment: [],externalConsole: false,//true显示外置的控制台窗口false显示内置终端MIMode: gdb,miDebuggerPath: C:\\Users\\wuxulong\\cpp_env\\MinGw\\mingw64\\bin\\gdb.exe,setupCommands: [{description: Enable pretty-printing for gdb,text: -enable-pretty-printing,ignoreFailures: true}]}]}8、新建c_cpp_properties.json
{configurations: [{name: Win32,includePath: [${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: c17,intelliSenseMode: gcc-x64//intelliSenseMode: windows-gcc-x64//intelliSenseMode: ${default}}],version: 4
}9、运行 快捷键F5
