前言
由于自己编译opencv, 无法解决vs_version.rc.obj生成的问题,故直接下载huihut编译好的Opencv-4.5.2
image-20210725201114309.png
VScode设置
设置文件可以在一个大文件夹下进行配置,这样vscode打开这个文件夹,那所有都适配.
也可以在单个项目文件夹下,这样只针对此单个项目有效.
lauch.json设置
运行-添加配置-C++(GDB/LLDB)
image-20210725201606779.png
这样生成一个.vscode文件夹,有launch.json
并把内容改为:
{
// 使用 IntelliSense 了解相关属性。
// 悬停以查看现有属性的描述。
// 欲了解更多信息，请访问: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "(gdb) Launch", // 配置名称，将会在启动配置的下拉菜单中显示
"type": "cppdbg", // 配置类型，对于C/C++可认为此处只能是cppdbg，由cpptools提供；不同编程语言不同
"request": "launch", // 可以为launch（启动）或attach（附加）
"program": "${fileDirname}/${fileBasenameNoExtension}.exe", // 将要进行调试的程序的路径
// "program": "${workspaceFolder}/${fileBaenameNoExtension}.exe",
"args": [], // 程序调试时传递给程序的命令行参数，一般设为空
"stopAtEntry": false, // 设为true时程序将暂停在程序入口处，相当于在main上打断点
"cwd": "${workspaceFolder}", //调试程序时的工作目录，此为工作区文件夹；改成${fileDirname}可变为文件所在目录
"environment": [], // 环境变量
"externalConsole": true, // 使用单独的cmd窗口，与其它IDE一致；为false时使用内置终端
"internalConsoleOptions": "neverOpen", // 如果不设为neverOpen，调试时会跳到“调试控制台”选项卡，你应该不需要对gdb手动输命令吧？
"MIMode": "gdb", // 指定连接的调试器，可以为gdb或lldb。但我没试过lldb
"miDebuggerPath": "D:/mingw64/bin/gdb.exe", // 调试器路径，Windows下后缀不能省略，Linux下则不要
"setupCommands": [
{ // 模板自带，好像可以更好地显示STL容器的内容，具体作用自行Google
"description": "Enable pretty-printing for gdb",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
],
"preLaunchTask": "Build" // 调试前执行的任务，一般为编译程序。与tasks.json的label相对应
// "preLaunchTask": "Compile" // 调试前执行的任务，一般为编译程序。与tasks.json的label相对应
}
]
}
tasks.json
添加task.json文件,内容如下:
{
"version": "2.0.0",
"command": "g++",
"label": "Build",
"options": {
"cwd": "${workspaceFolder} ",
},
"args": [
"-g",
"-std=c++11",
"${file}",
"-o",
"${fileBasenameNoExtension}.o",
"-I",
"D:/opencv/opencv-4.5.2/include",
"-I",
"D:/opencv/opencv-4.5.2/include/opencv2",
"-L",
"D:/opencv/opencv-4.5.2/x64/mingw/bin",
"-L",
"D:/opencv/opencv-4.5.2/x64/mingw/lib",
"-l",
"libopencv_calib3d452",
"-l",
"libopencv_core452",
"-l",
"libopencv_dnn452",
"-l",
"libopencv_features2d452",
"-l",
"libopencv_flann452",
"-l",
"libopencv_gapi452",
"-l",
"libopencv_highgui452",
"-l",
"libopencv_imgcodecs452",
"-l",
"libopencv_imgproc452",
"-l",
"libopencv_ml452",
"-l",
"libopencv_objdetect452",
"-l",
"libopencv_photo452",
"-l",
"libopencv_stitching452",
"-l",
"libopencv_video452",
"-l",
"libopencv_videoio452"
], // 编译命令参数
"tasks": [
{
"type": "shell",
"label": "cmake", // 对应 cmake ..
"command": "",
"args": [
// ".." // 如果放在build文件下,需要这句
]
},
{
"label": "make", // 对应 make
"group": {
"kind": "build",
"isDefault": true
},
/* Linux下面改成"cmake" */
"command": "mingw32-make.exe",
"args": []
},
{
"label": "Build", // Build里面依赖于"cmake" 和 "make"
"dependsOrder": "sequence",
"dependsOn": [
"cmake",
"make"
]
}
],
"problemMatcher": {
"owner": "cpp",
"fileLocation": [
"relative",
"${workspaceFolder}"
],
"pattern": [
{
"regexp": "^([^\\\\s].*)\\\\((\\\\d+,\\\\d+)\\\\):\\\\s*(.*)$",
"file": 1,
"location": 2,
"message": 3
}
]
},
"group": {
"kind": "build",
"isDefault": true
}
}
c_pp_properties.json
文件内容如下:
{
"configurations": [
{
"name": "Win32",
"includePath": [
"${workspaceFolder}/**",
"D:/mingw64/include/*",
"D:/opencv/opencv-4.5.2/include",
"D:/opencv/opencv-4.5.2/include/opencv2"
],
"defines": [],
"compilerPath": "D:/mingw64/bin/gcc.exe",
"cStandard": "c11",
"cppStandard": "c++17",
"intelliSenseMode": "clang-x64"
},
{
"name": "Win64",
"includePath": [
"${workspaceFolder}/**"
],
"defines": [
"_DEBUG",
"UNICODE",
"_UNICODE"
],
"windowsSdkVersion": "10.0.19041.0",
"compilerPath": "D:/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.29.30037/bin/Hostx64/x64/cl.exe",
"intelliSenseMode": "windows-msvc-x64"
}
],
"version": 4
}
settings.json
如果采用Run code插件,则必须增加settings.json设置
{
"files.defaultLanguage": "cpp", // ctrl+N新建文件后默认的语言
"editor.formatOnType": true, // 输入分号(C/C++的语句结束标识)后自动格式化当前这一行的代码
"editor.suggest.snippetsPreventQuickSuggestions": false, // clangd的snippets有很多的跳转点，不用这个就必须手动触发Intellisense了
"editor.acceptSuggestionOnEnter": "off", // 我个人的习惯，按回车时一定是真正的换行，只有tab才会接受Intellisense
// "editor.snippetSuggestions": "top", // （可选）snippets显示在补全列表顶端，默认是inline
"code-runner.runInTerminal": true, // 设置成false会在“输出”中输出，无法输入
"code-runner.executorMap": {
"c": "gcc '$fileName' -o '$fileNameWithoutExt.exe' -Wall -O2 -m64 -lm -static-libgcc -fexec-charset=GBK -D__USE_MINGW_ANSI_STDIO && &'./$fileNameWithoutExt.exe'",
// "cpp": "g++ '$fileName' -o '$fileNameWithoutExt.exe' -Wall -O2 -m64 -static-libgcc -fexec-charset=GBK && &'./$fileNameWithoutExt.exe'"
"cpp": "g++ $fileName -I D:/opencv/opencv-4.5.2/include -I D:/opencv/opencv-4.5.2/include/opencv2 -L D:/opencv/opencv-4.5.2/x64/mingw/bin -L D:/opencv/opencv-4.5.2/x64/mingw/lib -l libopencv_calib3d452 -l opencv_core452 -l libopencv_dnn452 -l libopencv_features2d452 -l libopencv_flann452 -l opencv_highgui452 -l opencv_imgcodecs452 -l opencv_imgproc452 -l opencv_ml452 -l opencv_objdetect452 -l opencv_photo452 -l libopencv_stitching452 -l opencv_videoio452 -l opencv_video452 -o $fileNameWithoutExt -fexec-charset=GBK && $dir$fileNameWithoutExt",
// "c": "gcc $fileName -o $fileNameWithoutExt.exe -Wall -O2 -m64 -lm -static-libgcc -fexec-charset=GBK -D__USE_MINGW_ANSI_STDIO && $dir$fileNameWithoutExt.exe",
// "cpp": "g++ $fileName -o $fileNameWithoutExt.exe -Wall -O2 -m64 -static-libgcc -fexec-charset=GBK && $dir$fileNameWithoutExt.exe"
"python": "python -u",
"perl": "perl",
"perl6": "perl6",
}, // 右键run code时运行的命令；未注释的仅适用于PowerShell（Win10默认）和pwsh，文件名中有空格也可以编译运行；注释掉的适用于cmd（win7默认）、PS和bash，但文件名中有空格时无法运行
"code-runner.saveFileBeforeRun": true, // run code前保存
"code-runner.preserveFocus": true, // 若为false，run code后光标会聚焦到终端上。如果需要频繁输入数据可设为false
"code-runner.clearPreviousOutput": false, // 每次run code前清空属于code runner的终端消息，默认false
"code-runner.ignoreSelection": true, // 默认为false，效果是鼠标选中一块代码后可以单独执行，但C是编译型语言，不适合这样用
"code-runner.fileDirectoryAsCwd": true, // 将code runner终端的工作目录切换到文件目录再运行，对依赖cwd的程序产生影响；如果为false，executorMap要加cd $dir
"C_Cpp.clang_format_sortIncludes": true, // 格式化时调整include的顺序（按字母排序）
}
说明:-fexec-charset=GBK 为输出GBK格式,不然中文会乱码
测试
#include <iostream>
#include <opencv2/highgui.hpp>
#include <opencv2/opencv.hpp>
using namespace std;
using namespace cv;
int main(int argc, char **argv)
{
cout << "你好678" << endl;
Mat img;
img=cv::imread("C:\\Users\\jerry\\Pictures\\ch1.jpg");
cout << " 图像宽为" << img.cols << endl;
imshow("img", img);
waitKey(0);
system("pause");
return 0;
}
image-20210725202907447.png
网友评论