關於OpenCV的安裝我這裏就不再贅述了記得用brew並指定相關版本

在安裝成功後記得注意看它的提示文字

Warning: opencv@3 dependency gcc was built with a different C++ standard
library (libstdc++ from clang). This may cause problems at runtime.
==> Caveats
opencv@3 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 opencv@3 first in your PATH run:
  echo 'export PATH="/usr/local/opt/opencv@3/bin:$PATH"' >> ~/.zshrc
For compilers to find opencv@3 you may need to set:
  export LDFLAGS="-L/usr/local/opt/opencv@3/lib"
  export CPPFLAGS="-I/usr/local/opt/opencv@3/include"
For pkg-config to find opencv@3 you may need to set:
  export PKG_CONFIG_PATH="/usr/local/opt/opencv@3/lib/pkgconfig”

文章目錄

在剛剛接觸這個IDE的時候，用到了code-runner這款插件，然而經過多次嘗試發現它只能運行單個文件，進入到設置(defaultSettings.json)當中不難發現：它的原理也就是幫我們在shell中輸入命令而達到編譯運行程序的目的。

...
	// 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 運行調試c/c++ 配置（完美解決）
不同，我們的程序不光要能執行以及調試單純的算法程序，還要適用於需要引入頭文件和鏈接庫的中型甚至大型項目，那麼這時候就該請出我們的神器make了，先不急我們一點點看

項目目錄

下面是項目的簡單目錄

c_cpp_properties.json

在include的過程當中如果有問題，IDE會提示你並自動生成這個文件，如果你是初學者沒關係，直接在’.vscode 文件夾中創建這個文件就可以，如果是自動生成的稍作修改就可以，如果最後不行就按照我的改，我已經踩了無數的坑了，期間看過很多文章與教程，然而這是最終的版本。（當然了opencv的安裝位置和編譯器位置可能會不同，請各位看官自行調整，靈活一些）

小tips:
在vscode的json配置文件中如果有不清楚的標籤一定要把鼠標放在上面看一看說明，下同。

{
    "configurations": [
        {
            "name": "Mac",
            "includePath": [
                "${workspaceFolder}/**",
                "/usr/local/opt/opencv@3/include",
                "/usr/local/Cellar/opencv@3/3.4.5/include"
            ],
            "defines": [],
            "macFrameworkPath": [],
            "compilerPath": "/usr/bin/g++",
            "cStandard": "c11",
            "cppStandard": "c++11",
            "intelliSenseMode": "clang-x64",
            "browse": {
                "path": [
                    "/usr/local/Cellar/opencv@3/3.4.5/include"
                ],
                "limitSymbolsToIncludedHeaders": true,
                "databaseFilename": ""
            }
        }
    ],
    "version": 4
}

參數說明：
“includePath”：後期需要添加的額外頭文件路徑
“compilerPath”: 編譯器所在的文件路徑

launch.json

這個文件是在debug模式中需要用到並會自動生成的,稍作修改 ,注意：標籤“program" 中文件後綴和自身系統有關。

{
    // 使用 IntelliSense 瞭解相關屬性。 
    // 懸停以查看現有屬性的描述。
    // 欲瞭解更多信息，請訪問: 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",是默認launch.json中沒有的，表示執行文件前需要的編譯任務。具體的任務內容我們在task.json中定義。

settings.json

此settings是工作區設置，另外還有一個用戶設置，它們之間的區別和聯繫等相關知識請各位讀者自行了解。

//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/opencv@3/3.4.5/include"
    ]
}

task.json

首先快捷鍵shift+command+p 打開Tasks: Configure Tasks，選擇 Create tasks.json file from templates，此時會蹦出一個下拉列表，在下拉列表中選擇Others，然後稍作修改如下

{
    // 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/opencv@3/3.4.5/include/opencv",
                "-I",
                "/usr/local/Cellar/opencv@3/3.4.5/include",
                "-L",
                "/usr/local/Cellar/opencv@3/3.4.5/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"
            ]
        }
    ]
}

上面那一長串究竟是怎麼來的呢在終端中輸入以下命令試試

pkg-config opencv --libs —cflags

按照json格式改好了就可以寫進去了，別問爲啥，學。

Makefile

TARGET = ./main

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

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

CFLG = -g -Wall -I/usr/local/Cellar/opencv@3/3.4.5/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 $@ 

.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;
}

運行

control + option + N 利用code-runner插件進行快速運行：

Tips :對於本程序的話，記得傳參，可以修改makefile也可以修改settings也可以編譯後在終端中運行並傳參，看個人喜好

調試

shift + command + B 進行編譯然後 F5 啓用調試或者直接在左邊調試窗口按下綠色三角按鈕，相當於 編譯+啓動調試 ，如下圖完美解決。

參考文章

跟我一起寫Makefile

Ubuntu下程序的編譯和鏈接過程和openCV的makefile文件

ubuntu14.04+opencv 3.0+python2.7安裝及測試

opencv的第一份代碼，及其makefile通用格式

Makefile Templates

Makefile的使用方法

Visual Studio Code （VSCode）之 C/C++ 調試配置詳解

vs code 配置.json文件引入makefile文件實現多文件編譯

VSCode的Python擴展下程序運行的幾種方式與環境變量管理

Python下如何配置Code Runner 可以直接啓動調試？

VS code 運行&調試opencv C++配置

【轉】gcc/g++常用編譯選項和gdb常用調試命令

Configuring launch.json for C/C++ debugging

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

MAC+VS Code+C/C++調試配置

vscode下調試運行c++

VScoder C++ opencv 配置

gcc/g++參數詳解

最近這幾天真的在全身心解決這個問題(從這麼多的參考文章中能否看出來麼=。= )，因爲網上大多數教程都是針對windows的就算是mac環境下 xcode的教程也是更多一些，然後買了個相關課程，希望能從中找到關於環境搭建方面的技巧與經驗，結果！老師說：大家就用windows吧，用linux和MAC的都是高手，因爲要掌握cmake神馬的balabala。。。當時很想放棄，結果還是熬過來了現在回頭看看雖然這些東西不難，但是這期間確實學到了很多東西，也希望大家在今後的學習生活中不要被困難打倒。

共勉。

MAC下 VScode 運行調試OpenCV 配置（完美解決）

文章目錄

項目目錄

c_cpp_properties.json

launch.json

settings.json

task.json

Makefile

main.cpp

運行

調試

參考文章

Python 潮流週刊#50：我最喜歡的 Python 3.13 新特性！

利用三十行Python爬取網絡小說

線性錶鏈表表相關習題及詳解（綜合） ——數據結構

線性錶鏈表表相關習題及詳解（選擇題） ——數據結構

【ARTS】30 week

錯誤提示：The ycmd server SHUT DOWN (restart with ':YcmRestartServer'). Unexpected exit code 1.

https://yachay.unat.edu.pe/blog/index.php?comment_area=format_blog&comment_component=blog&comment_co

linux以太網驅動總結

MAC下 VScode 運行 調試OpenCV 配置（完美解決）

文章目錄

項目目錄

c_cpp_properties.json

launch.json

settings.json

task.json

Makefile

main.cpp

運行

調試

參考文章

MAC下 VScode 運行調試OpenCV 配置（完美解決）