基于vscode的cppcmake调试环境配置

1. 创建项目文件

创建cpp文件及CMakeLists.txt文件

helloOpenCV.cpp

#include <opencv2/opencv.hpp>
int main() {
    // 创建图像，初始化为黑色
    cv::Mat image = cv::Mat::zeros(200, 300, CV_8UC3);
    // 设置为纯绿色 (BGR格式：0, 255, 0)
    image.setTo(cv::Scalar(0, 255, 0));
    // 显示图像
    cv::imshow("Green Image", image);
    // 等待按键
    cv::waitKey(0);
    // 销毁所有窗口
    cv::destroyAllWindows();
    return 0;
}

CMakeLists.txt

cmake_minimum_required(VERSION 2.8)
project(helloOpenCV)
set(CMAKE_BUILD_TYPE "Debug")
find_package(OpenCV REQUIRED)
add_executable(helloOpenCV helloOpenCV.cpp)
target_link_libraries(helloOpenCV ${OpenCV_LIBS})

若编译过程提示缺少opencv库则执行 sudo apt install libopencv-dev

2. 生成可执行文件

# 在项目根目录下创建build文件夹
mkdir build
cd build
# 生成构建文件makefile
cmake ..
# 基于makefile构建项目生成可执行文件 helloOpencv
make
# 调用可执行程序 弹出图像
./helloOpenCV

3. vscode 调试环境配置

vscode调试环境主要包括三个文件的配置

c_cpp_properties.json负责指定编译器及头文件路径
tasks.json负责编译生成可执行文件
launch.json负责可执行文件的调试

c_cpp_properties.json

快捷键 ctrl+shift+P 后选择 c/c++ : edit configurations(JSON)生成c_cpp_properties.json
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{
    "configurations": [
        {
            "name": "Linux",    
            "includePath": [
                "${workspaceFolder}/**"
            ],
            "defines": [],
            "compilerPath": "/usr/bin/clang",
            "cStandard": "c17",
            "cppStandard": "c++14",
            "intelliSenseMode": "linux-clang-x64"
        }
    ],
    "version": 4
}

其中较重要的字段包括：

includePath：头文件搜索路径
compilerPath：指定C/C++编译器的路径
cppStandard：C++标准
intelliSenseMode：智能补全模式

tasks.json

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点击Terminal-Configure Default Build Task 在上述CMake: ***中任意选择一项生成tasks.json即可

方式1，通过自定义子task的顺序完成构建过程

{
    "version": "2.0.0",
    "tasks": [
        {
            "label": "cmake",
            "type": "shell",
            "command": "cmake",
            "args": [
                "../"
            ],
            "options": {
                "cwd": "${workspaceFolder}/build"
            },            
        },
        {
            "label": "make",
            "type": "shell",
            "command": "make",
            "args": [],
            "options": {
                "cwd": "${workspaceFolder}/build"
            }, 
        },
        {
            "label": "cmake task",
            "dependsOn":["cmake", "make"],
			"dependsOrder": "sequence"
        },
    ],
}

方式2，通过调用shell脚本的形式完成构建过程(我更倾向的一种方式，定义更简单)

{
	"version": "2.0.0",
	"tasks": [
		{
			"label": "cmake task",
			"type": "shell",
			"command": "bash",
			"args": ["${workspaceFolder}/build.sh"],
			"options": {
				"cwd": "${workspaceFolder}"
			},
			"problemMatcher": ["$gcc"],
			"group": {
				"kind": "build",
				"isDefault": true
			},
			"detail": "Task generated by Debugger."
		}
	]
}

其中build.sh内容为

cd build
cmake ..
make

launch.json

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点击Add configuration
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将program改为要拉起的可执行程序，将prelaunchask设置为tasks.json中的label

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "(gdb) Launch",
            "type": "cppdbg",
            "request": "launch",
            "program": "${workspaceFolder}/build/helloOpenCV",
            "args": [],
            "stopAtEntry": false,
            "cwd": "${workspaceFolder}",
            "environment": [],
            "preLaunchTask": "cmake task"
        }
    ]
}