Ubuntu系统下如何在VScode配置OpenCV(C++)环境(.json文件)
目录
- 创建一个test文件,用VScode打开
- (1)按住ctrl+shift+P搜索launch.json,点击打开即可
- (2)按住ctrl+shift+P 打开第一个
- (1)、launch.json文件的配置
- (2)、tasks.json文件
- (3)、c_cpp_properties.json文件
- (4)、测试
- 总结
创建一个tesandroidt文件,用VScode打开
(1)按住ctrl+shift+P搜索launch.json,点击打开即可
(2)按住ctrl+shift+P 打开第一个
(1)、launch.json文件的配置
{ // Use IntelliSense to learn about possible attributes. // Hover to view descriptions of existing attributes. // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 "version": "0.2.0", "configurations": [ { "name": "g++ - Build and debug active file", "type": "cppdbg", "request": "launch", "program": "${fileDirname}/${fileBasenameNoExtension}", //程序文件路径 "args": [], //程序运行需传入的参数 "stopAtEntry": false, "cwd": "${fileDirname}", "environment": [], "externalConsole": false, //运行时是否显示控制台窗口 "MIMode": "gdb", "setupCommands": [ { "description": "Enable pretty-printing for gdb", "text": "-enable-pretty-printing", "ignoreFailures": true } ], "preLaunchtask": "C/C++: g++ build active file", "miDebuggerPath": "/usr/bin/gdb" } ] }
(2)、tasks.json文件
{ "tasks": [ { "type": "cppbuild", "label": "C/C++: g++ build active file", /* 与launch.json文件里的preLaunchTask的内容保持一致 */ "command": "/usr/bin/g++", "args": [ "-std=c++11", "-g", //"${file}", /* 编译单个文件 */ "${fileDirname}/*.cpp", /* 编译多个文件 */ "-o", "${fileDirname}/${fileBasenameNoExtension}", /* 输出文件路径 */ /* 项目所需的头文件路径 */ "-I", "${workspaceFolder}/", nLGUCUroBj "-I", "/usr/local/include/", "-I", "/usr/local/include/opencv4/", "-I", "/usr/local/include/opencv4/opencv2", /* 项目所需的库文件路径 */ "-L", "/usr/local/lib", /* OpenCV的lib库 */ "/usr/local/lib/libopencv_*" ], "options": { "cwd": "${fileDirname}" }, "problemMatcher": [ "$gcc" ], "group": { "kind": "build"编程客栈, "isDefault": true }, "detail": "Task generated by Debuggewww.devze.comr." } ], "version": "2.0.0" }
(3)、c_cpp_properties.json文件
{ "configurations": [ { "name": "linux", "includePath": [ "${workspaceFolder}/**", "/usr/local/include/opencv4",编程客栈 "/usr/include/**" ], "defines": [], "compilerPath": "/usr/bin/gcc", "cStandard": "gnu11", "cppStandard": "gnu++14", "intelliSenseMode": "linux-gcc-x64", "configurationProvider": "ms-vscode.makefile-tools" } ], "version": 4 }
(4)、测试
创建一个test.cpp文件,输入测试代码
#include <opencv2/opencv.hpp> #include <string> #include <IOStream> using namespace std; int main(int argc, char* argv[]) { string Path = "test.jpg";//此处为的图片路径 //从文件中读入图像 cv::Mat img = cv::imread(Path, 1); //如果读入图像失败 if (img.empty()) { cout<< "Not Found image"<<endl; return -1; } cv::imshow("image", img); //显示图像 cv::waitKey(); return 0; }
图片显示成功,配置完成!(若成功运行仍有报错显示,重启VScode即可)
总结
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