Jetson Nano Ubuntu环境下VScode配置OpenCV的C++开发环境

Jetson Nano是非常常用的nvidia深度学习开开发板，其已经配置了opencv4.1.1，并已经安装了VSCode，由于项目需要本人必须应用VSCode中进行C++的编译。

Jetson Nano自带的系统中opencv的安装位置与网上常用的VSCode中都不相同，造成了很大的困扰。经过不断的尝试终于配置好了相关的环境，为了避免各位踩坑，本文给出自己的配置过程，并给出配置需要的文件，将其展现出来供大家参考。

首先，配置C++的编译环境。

第二，新建文件夹编写代码，用vs code打开。

第三、编写launch.json
vscode左侧方的debug按钮–Debug -> Open Configurations -> 打开备选框 -> C++(GDB/LLDB) -> g++ build and debug active file。打开launch.json文件并且修改为：

{
     
    "version": "0.2.0",
    "configurations": [
        {
     
            "name": "(gdb) Launch",
            "type": "cppdbg",
            "request": "launch",
            "program": "${workspaceFolder}/${fileBasenameNoExtension}.o",
            "args": [],
            "stopAtEntry": false,
            "cwd": "${workspaceFolder}",
            "environment": [],
            "externalConsole": true,
            "MIMode": "gdb",
            "preLaunchTask": "build",
            "setupCommands": [
                {
     
                    "description": "Enable pretty-printing for gdb",
                    "text": "-enable-pretty-printing",
                    "ignoreFailures": true
                }
            ]
        }
    ]
}

第四、编写tasks.json
按键ctrl+shift+P，输入选择Configure Task，在备选框中选择C/C++:cpp build active file选项，则新建一个tasks.json文件。

{
     
    "version": "2.0.0",
    "tasks": [
        {
     
            "label": "build",
            "type": "shell",
            "command": "g++",
            "args": [
                "-g", "-std=c++11", "${file}", "-o", "${fileBasenameNoExtension}.o",
                "-I", "/usr/include/opencv4/opencv2",
                "-I", "/usr/include/opencv4",
                "-L", "/usr/lib/aarch64-linux-gnu",
                "-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"
            ],// 编译命令参数        
        }
    ]
}

第五、编写c_cpp_properties.json
Ctrl + Shift + P 打开搜索框，键入c++，会出现备选项目，选择图示Edit configurations (JSON)，并且将c_cpp_properties.json修改为：

{
     
    "configurations": [
        {
     
            "name": "Linux",
            "includePath": [
                "${workspaceFolder}/**",
                "/usr/include/opencv4", //opencv2头文件夹安装在这个目录
                "/usr/include"
            ],
            "defines": [],
            "compilerPath": "/usr/bin/gcc",
            "cStandard": "c11",
            "cppStandard": "c++17",
            "intelliSenseMode": "clang-x64"
        }
    ],
    "version": 4
}

最后，结束语
其实，配置Jetson Nano中Ubuntu环境下VScode OpenCV的C++开发环境最重要的是opencv的安装路径，大家可以自己去查询，并更改上述文件中的路径。