VSCode代码调试

1. C++

Linux上建议用cmake编译，然后用vscode调试，所以只需修改launch.json这个文件，然后点击Run->Start Debugging进行调试

1.1. launch.json文件

打开方式：Run->Open Configurations

{"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，这里只能为cppdbg"request": "launch",                        // 请求配置类型，可以为launch（启动）或attach（附加）"launchOptionType": "Local",                // 调试器启动类型，这里只能为Local"targetArchitecture": "x86",                // 生成目标架构，一般为x86或x64，可以为x86, arm, arm64, mips, x64, amd64, x86_64"program": "${workspaceFolder}/text.out",   // 将要进行调试的程序的路径"args": [],                                 // 程序调试时传递给程序的命令行参数，一般设为空即可"stopAtEntry": false,                       // 设为true时程序将暂停在程序入口处，一般设置为false"cwd": "${workspaceFolder}",                // 调试程序时的工作目录，一般为${workspaceRoot}即代码所在目录"externalConsole": true,                    // 调试时是否显示控制台窗口，一般设置为true显示控制台"preLaunchTask": "g++",　　                  // 调试会话开始前执行的任务，一般为编译程序，c++为g++, c为gcc"MIMode": "gdb","setupCommands": [{"description": "Enable pretty-printing for gdb","text": "-enable-pretty-printing","ignoreFailures": true}]}]
}

如果不用VSCode进行编译，则需要把preLaunchTask取消，建议参考下面文件

{"version": "0.2.0","configurations": [{"name": "g++ build and debug active file","type": "cppdbg","request": "launch","program": "${workspaceFolder}/bin/opencv_test", // 可执行文件路径"args": [],"stopAtEntry": false,"cwd": "${workspaceFolder}","environment": [],"externalConsole": false,"MIMode": "gdb","setupCommands": [{"description": "Enable pretty-printing for gdb","text": "-enable-pretty-printing","ignoreFailures": true}],"miDebuggerPath": "/usr/bin/gdb"}]}

1.2. task.json文件

{"version": "0.1.0","command": "g++","args": ["-g","${file}","-o","${file}.exe"],    // 编译命令参数"problemMatcher": {"owner": "cpp","fileLocation": ["relative", "${workspaceRoot}"],"pattern": {"regexp": "^(.*):(\\d+):(\\d+):\\s+(warning|error):\\s+(.*)$","file": 1,"line": 2,"column": 3,"severity": 4,"message": 5}}
}

2. Python

{"configurations": [{"name": "nerfacto","type": "python","request": "launch","program": "${workspaceFolder}/nerfstudio/scripts/train.py","args": ["nerfacto", "--data", "/data/nerfstudio/posters_v3"],"console": "integratedTerminal"}]
}