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  • C++项目-Using C++ on Linux in VS Code

    准备工作

    安装VScode  
    安装 远程 ssh-remote
    

    Linux环境准备

     gcc  -v 
     gdb  -v
     库函数
       命令:  gcc -v -E -x c++ -
    

    C++ extension

    安装 VScode插件 C++ extension for VS Code.	 
    配置环境写代码
      01.Build helloworld.cpp
        代码
      02 Running the build and Modifying tasks.json
        create a tasks.json file to tell VS Code how to build (compile) the program
           Terminal > Configure Default Build Task >  Choose C/C++: g++ build active file
      03.Debug helloworld.cpp     
         create a launch.json file
           Run > Add Configuration... and then choose C++ (GDB/LLDB). Choose g++ build and debug active file.
      04.more C/C++ configurations
         create a c_cpp_properties.json file  
    

    冲突和问题解决

      头文件包含问题
      Cmake “.cmaketools.json”文件内容去覆盖 “c_cpp_properties.json”
    要求
       使vscode     能够支持对于opencv的库导入和语法提示、
       使gcc        支持对含有opencv源代码的编译、
       使gdb        支持对含有opencv代码的可执行程序的调试。
    解决办法:
       opencv的库导入和语法提示,
          可直接通过修改.vscode配置文件中c_cpp_properties.json实现
        gcc对含有opencv源代码的编译,
    	   需修改task.json中编译命令行中加入相关头文件目录、链接库目录以及相关的链接库文件,
           而这本身opencv并不自带,
    	   需要自行通过利用cmake编译opencv源文件生成,而Cmake的编译又需要python的环境
        gdb对含opencv相关代码的可执行调试,
    	    需要gdb加载支持可执行文件中opencv相关功能的dll,
    		这依然是通过利用cmake编译opencv源文件代码生成的		   
    

    具体配置文件

    含c++的文件夹,将会生成一个.vscode文件夹,所有的配置将在这个文件夹中进行配置
    01.task.json
     {
         "tasks": [
             {
                 "type": "cppbuild",
                 "label": "C/C++: g++ build active file",
                 "command": "/usr/bin/g++",
                 "args": [
                     "-g",
                     "${file}",
                     "-o",
                     "${fileDirname}/${fileBasenameNoExtension}",  
                     "`pkg-config", "--cflags", "--libs", "opencv`",
                     "-I", "/usr/local/include",
                     "-I", "/usr/local/include/opencv",
                     "-I", "/usr/local/include/opencv2",
                     "-L", "/usr/local/lib",
                     "-l", "opencv_core",
                     "-l", "opencv_imgproc",
                     "-l", "opencv_imgcodecs",
                     "-l", "opencv_video",
                     "-l", "opencv_ml",
                     "-l", "opencv_highgui",
                     "-l", "opencv_objdetect",
                     "-l", "opencv_flann",
                     "-l", "opencv_imgcodecs",
                     "-l", "opencv_photo",
                     "-l", "opencv_videoio"
                 ],
                 "options": {
                     "cwd": "${fileDirname}"
                 },
                 "problemMatcher": [
                     "$gcc"
                 ],
                 "group": {
                     "kind": "build",
                     "isDefault": true
                 },
                 "detail": "Task generated by Debugger."
             }
         ],
         "version": "2.0.0"
     }	
    
    02 launch.json
     {
     "version": "0.2.0",
     "configurations": [
         {
             "name": "g++ - Build and debug active file",
             "type": "cppdbg",
             "request": "launch",
             "program": "${fileDirname}/${fileBasenameNoExtension}",
             "args": ["/data/video/video/test.mp4","/data/video/frame/"],
             "stopAtEntry": false,
             "cwd": "${fileDirname}",
             "environment": [],
             "externalConsole": false,
             "MIMode": "gdb",
             "setupCommands": [
                 {
                     "description": "Enable pretty-printing for gdb",
                     "text": "-enable-pretty-printing",
                     "ignoreFailures": true
                 }
             ],
             "preLaunchTask": "C/C++: g++ build active file",
             "miDebuggerPath": "/usr/bin/gdb"
         }
     ]
     }
    	
    03.c_cpp_properties.json
     {
         "configurations": [
             {
                 "name": "Linux",
                 "includePath":  [
                     "${workspaceFolder}/**",
                     "/usr/include/c++/5",
                     "/usr/include/x86_64-linux-gnu/c++/5",
                     "/usr/include/c++/5/backward",
                     "/usr/lib/gcc/x86_64-linux-gnu/5/include",
                     "/usr/local/include",
                     "/usr/lib/gcc/x86_64-linux-gnu/5/include-fixed",
                     "/usr/include",
                     "/usr/include/opencv2",
                     "/usr/include/opencv",
                     "/usr/lib/x86_64-linux-gnu/"
                 ],
                 "defines": [],
                 "compilerPath": "/usr/bin/gcc",
                 "cStandard": "gnu11",
                 "cppStandard": "gnu++98",
                 "intelliSenseMode": "linux-gcc-x64"
             }
         ],
         "version": 4
     }
    

    参考:

         Using C++ on Linux in VS Code  https://code.visualstudio.com/docs/cpp/config-linux
     小白也能懂的ubuntu下Vscode中使用C++运行opencv  https://www.jianshu.com/p/41f87292b34c
     opencv3.2.0实现视频抽帧,并保存成图片 https://www.cnblogs.com/ilykaihui/p/8010566.html
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  • 原文地址:https://www.cnblogs.com/ytwang/p/14985170.html
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