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。

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