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MAC下 VScode 运行 调试OpenCV 配置（完美解决）项目目录c_cpp_properties.jsonlaunch.jsonsettings.jsontask.jsonMakefilemain.cpp运行调试参考文章

https://github.com/angel-star/vscode_OpenCV_template_for_Mac/tree/master

关于OpenCV的安装我这里就不再赘述了 记得用brew并指定相关版本

MAC下 VScode 运行 调试OpenCV 配置（完美解决）项目目录c_cpp_properties.jsonlaunch.jsonsettings.jsontask.jsonMakefilemain.cpp运行调试参考文章

在安装成功后记得注意看它的提示文字

Warning: [email protected] dependency gcc was built with a different C++ standard
library (libstdc++ from clang). This may cause problems at runtime.
==> Caveats
[email protected] is keg-only, which means it was not symlinked into /usr/local,
because this is an alternate version of another formula.
If you need to have [email protected] first in your PATH run:
  echo 'export PATH="/usr/local/opt/[email protected]/bin:$PATH"' >> ~/.zshrc
For compilers to find [email protected] you may need to set:
  export LDFLAGS="-L/usr/local/opt/[email protected]/lib"
  export CPPFLAGS="-I/usr/local/opt/[email protected]/include"
For pkg-config to find [email protected] you may need to set:
  export PKG_CONFIG_PATH="/usr/local/opt/[email protected]/lib/pkgconfig”

文章目录

  • 项目目录
  • c_cpp_properties.json
  • launch.json
  • settings.json
  • task.json
  • Makefile
  • main.cpp
  • 运行
  • 调试
  • 参考文章

在刚刚接触这个IDE的时候，用到了code-runner这款插件，然而经过多次尝试发现它只能运行单个文件，进入到设置(defaultSettings.json)当中不难发现：它的原理也就是帮我们在shell中输入命令而达到编译运行程序的目的。

...
	// Set the executor of each language.
	"code-runner.executorMap": {
		"javascript": "node",
		"java": "cd $dir && javac $fileName && java $fileNameWithoutExt",
		"c": "cd $dir && gcc $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
		"cpp": "cd $dir && g++ $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
		"objective-c": "cd $dir && gcc -framework Cocoa $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
		"php": "php",
		"python": "python -u",
		"perl": "perl",
		...
		}
...

但是和上篇文章MAC visual Studio Code 运行 调试c/c++ 配置（完美解决）

不同，我们的程序不光要能执行以及调试单纯的算法程序，还要适用于需要引入头文件和链接库的中型甚至大型项目，那么这时候就该请出我们的神器

make

了，先不急 我们一点点看

项目目录

下面是项目的简单目录

MAC下 VScode 运行 调试OpenCV 配置（完美解决）项目目录c_cpp_properties.jsonlaunch.jsonsettings.jsontask.jsonMakefilemain.cpp运行调试参考文章

c_cpp_properties.json

在include的过程当中如果有问题，IDE会提示你并自动生成这个文件，如果你是初学者没关系，直接在’

.vscode

文件夹中创建这个文件就可以，如果是自动生成的稍作修改就可以，如果最后不行就按照我的改，我已经踩了无数的坑了，期间看过很多文章与教程，然而这是最终的版本。（当然了opencv的安装位置和编译器位置可能会不同，请各位看官自行调整，灵活一些）

小tips:

在vscode的json配置文件中如果有不清楚的标签一定要把鼠标放在上面看一看说明，下同。

{
    "configurations": [
        {
            "name": "Mac",
            "includePath": [
                "${workspaceFolder}/**",
                "/usr/local/opt/[email protected]/include",
                "/usr/local/Cellar/[email protected]/3.4.5/include"
            ],
            "defines": [],
            "macFrameworkPath": [],
            "compilerPath": "/usr/bin/g++",
            "cStandard": "c11",
            "cppStandard": "c++11",
            "intelliSenseMode": "clang-x64",
            "browse": {
                "path": [
                    "/usr/local/Cellar/[email protected]/3.4.5/include"
                ],
                "limitSymbolsToIncludedHeaders": true,
                "databaseFilename": ""
            }
        }
    ],
    "version": 4
}

参数说明：

“includePath”

：后期需要添加的额外头文件路径

“compilerPath”:

编译器所在的文件路径

launch.json

这个文件是在debug模式中需要用到并会自动生成的,稍作修改 ,注意：标签

“program"

中文件后缀和自身系统有关。

{
    // 使用 IntelliSense 了解相关属性。 
    // 悬停以查看现有属性的描述。
    // 欲了解更多信息，请访问: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "(lldb) Launch",
            "type": "cppdbg",
            "request": "launch",
            "program": "${fileDirname}/${fileBasenameNoExtension}.out",
            "args": [],
            "stopAtEntry": true,
            "cwd": "${workspaceFolder}",
            "environment": [],
            "externalConsole": true,
            "MIMode": "lldb",
            "preLaunchTask": "Build"
        }
    ]
}

"preLaunchTask"

:

"build hello world"

,是默认

launch.json

中没有的，表示执行文件前需要的编译任务。具体的任务内容我们在

task.json

中定义。

settings.json

此settings是工作区设置， 另外还有一个用户设置，它们之间的区别和联系等相关知识请各位读者自行了解。

//settings.json
{
    "python.pythonPath": "/Users/zjx/anaconda3/bin/python3",
    "code-runner.executorMap": {
        "c": "cd $dir && make  && ./$fileNameWithoutExt && make clean",
        "cpp": "cd $dir && make  && ./$fileNameWithoutExt && make clean"
    },
    "editor.renderWhitespace": "all",
    "editor.renderLineHighlight": "all",
    "editor.formatOnSave": true,
    "code-runner.runInTerminal": true,
    "code-runner.ignoreSelection": true,
    "code-runner.enableAppInsights": false,
    "C_Cpp.updateChannel": "Insiders",
    "[makefile]": {
        "editor.insertSpaces": true
    },
    "C_Cpp.default.includePath": [
        "/usr/local/Cellar/[email protected]/3.4.5/include"
    ]
}

task.json

首先快捷键

shift+command+p

打开Tasks: Configure Tasks，选择 Create tasks.json file from templates，此时会蹦出一个下拉列表，在下拉列表中选择Others，然后稍作修改如下

{
    // See https://go.microsoft.com/fwlink/?LinkId=733558
    // for the documentation about the tasks.json format
    "version": "2.0.0",
    "tasks": [
        {
            "label": "Build",
            "type": "shell",
            "command": "g++",
            "args": [
                "${file}",
                "-o",
                "${fileDirname}/${fileBasenameNoExtension}.out",
                "-I",
                "/usr/local/Cellar/[email protected]/3.4.5/include/opencv",
                "-I",
                "/usr/local/Cellar/[email protected]/3.4.5/include",
                "-L",
                "/usr/local/Cellar/[email protected]/3.4.5/lib",
                "-l",
                "opencv_stitching",
                "-l",
                "opencv_superres",
                "-l",
                "opencv_videostab",
                "-l",
                "opencv_aruco",
                "-l",
                "opencv_bgsegm",
                "-l",
                "opencv_bioinspired",
                "-l",
                "opencv_ccalib",
                "-l",
                "opencv_dnn_objdetect",
                "-l",
                "opencv_dpm",
                "-l",
                "opencv_face",
                "-l",
                "opencv_fuzzy",
                "-l",
                "opencv_hfs",
                "-l",
                "opencv_img_hash",
                "-l",
                "opencv_line_descriptor",
                "-l",
                "opencv_optflow",
                "-l",
                "opencv_reg",
                "-l",
                "opencv_rgbd",
                "-l",
                "opencv_saliency",
                "-l",
                "opencv_stereo",
                "-l",
                "opencv_structured_light",
                "-l",
                "opencv_phase_unwrapping",
                "-l",
                "opencv_surface_matching",
                "-l",
                "opencv_tracking",
                "-l",
                "opencv_datasets",
                "-l",
                "opencv_dnn",
                "-l",
                "opencv_plot",
                "-l",
                "opencv_xfeatures2d",
                "-l",
                "opencv_shape",
                "-l",
                "opencv_video",
                "-l",
                "opencv_ml",
                "-l",
                "opencv_ximgproc",
                "-l",
                "opencv_xobjdetect",
                "-l",
                "opencv_objdetect",
                "-l",
                "opencv_calib3d",
                "-l",
                "opencv_features2d",
                "-l",
                "opencv_highgui",
                "-l",
                "opencv_videoio",
                "-l",
                "opencv_imgcodecs",
                "-l",
                "opencv_flann",
                "-l",
                "opencv_xphoto",
                "-l",
                "opencv_photo",
                "-l",
                "opencv_imgproc",
                "-l",
                "opencv_core",
                "-g"
            ],
            "group": {
                "kind": "build",
                "isDefault": true
            },
            "problemMatcher": [
                "$gcc"
            ]
        }
    ]
}

上面那一长串究竟是怎么来的呢 在终端中输入以下命令试试

pkg-config opencv --libs —cflags
MAC下 VScode 运行 调试OpenCV 配置（完美解决）项目目录c_cpp_properties.jsonlaunch.jsonsettings.jsontask.jsonMakefilemain.cpp运行调试参考文章

按照json格式改好了就可以写进去了，别问为啥，学。

Makefile 

TARGET = ./main

SRCS := $(wildcard ./src/*.cpp ./*.cpp)

OBJS := $(patsubst %cpp,%o,$(SRCS))

CFLG = -g -Wall -I/usr/local/Cellar/[email protected]/3.4.5/include -Iinc -I./ -std=c++11

LDFG = -Wl, $(shell pkg-config opencv --cflags --libs)

CXX = g++

$(TARGET) : $(OBJS)
	$(CXX) -o $(TARGET) $(OBJS) $(LDFG)

%.o:%.cpp
	$(CXX) $(CFLG) -c $< -o [email protected] 

.PHONY : clean
clean:
	-rm ./*.o

main.cpp 

// main.cpp
#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>
using namespace cv;
int main(int argc, char **argv)
{
	Mat img = cv::imread(argv[1], -1);
	if (img.empty())
		return -1;
	cv::namedWindow("Example1", cv::WINDOW_AUTOSIZE);
	cv::imshow("Example1", img);
	cv::waitKey(0);
	cv::destroyWindow("Example1");
	return 0;
	// Mat img = imread("/Users/zjx/Desktop/123.png");c
	// cv::imshow("image", img);
	// cv::waitKey();
	// return 0;
}

运行

control + option + N

利用code-runner插件进行快速运行：

Tips :对于本程序的话 ，记得传参，可以修改makefile也可以修改settings也可以编译后在终端中运行并传参，看个人喜好
MAC下 VScode 运行 调试OpenCV 配置（完美解决）项目目录c_cpp_properties.jsonlaunch.jsonsettings.jsontask.jsonMakefilemain.cpp运行调试参考文章

调试

shift + command + B

进行编译 然后

F5

启用调试 或者直接在左边调试窗口按下绿色三角按钮，相当于

编译+启动调试

，如下图 完美解决。

MAC下 VScode 运行 调试OpenCV 配置（完美解决）项目目录c_cpp_properties.jsonlaunch.jsonsettings.jsontask.jsonMakefilemain.cpp运行调试参考文章

参考文章

跟我一起写Makefile

Ubuntu下程序的编译和链接过程和openCV的makefile文件

ubuntu14.04+opencv 3.0+python2.7安装及测试

opencv的第一份代码，及其makefile通用格式

Makefile Templates

Makefile的使用方法

Visual Studio Code （VSCode） 之 C/C++ 调试配置详解

vs code 配置.json文件引入makefile文件实现多文件编译

VSCode的Python扩展下程序运行的几种方式与环境变量管理

Python下如何配置Code Runner 可以直接启动调试？

VS code 运行&调试opencv C++配置

【转】gcc/g++常用编译选项和gdb常用调试命令

Configuring launch.json for C/C++ debugging

C/C++ for Visual Studio Code (Preview)

MAC+VS Code+C/C++调试配置

vscode下调试运行c++

VScoder C++ opencv 配置

gcc/g++参数详解

最近这几天真的在全身心解决这个问题(从这么多的参考文章中能否看出来么=。= )，因为网上大多数教程都是针对windows的 就算是mac环境下 xcode的教程也是更多一些，然后买了个相关课程，希望能从中找到关于环境搭建方面的技巧与经验，结果！老师说：大家就用windows吧，用linux和MAC的都是高手，因为要掌握cmake神马的balabala。。。当时很想放弃，结果还是熬过来了 现在回头看看虽然这些东西不难，但是这期间确实学到了很多东西，也希望大家在今后的学习生活中不要被困难打倒。

共勉。

【C】 【C++】 【vscode】 【MAC】 mac opencv  openvc 调试 opencv 调试配置 vscode配置 opencv opencv 配置
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