MAC下使用homebrew安裝安裝opencv，配置在Clion和Xcode上使用

參考 ：

https://www.jianshu.com/p/ef806bffcb0e

https://blog.csdn.net/a13602955218/article/details/101625857

1.安裝homebrew

命令行一鍵安裝，國內加速可參考 https://www.jianshu.com/p/22820319f71b

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

安裝完后可以替換brew源，在國內加速

清華鏡像源

https://mirror.tuna.tsinghua.edu.cn/help/homebrew/

https://mirrors.tuna.tsinghua.edu.cn/help/homebrew-bottles/

# 1二進制包源
echo 'export HOMEBREW_BOTTLE_DOMAIN=https://mirrors.tuna.tsinghua.edu.cn/homebrew-bottles' >> ~/.bash_profile
source ~/.bash_profile

# 2 倉庫源

$ cd "$(brew --repo)"
$ git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/brew.git
$ cd "$(brew --repo)/Library/Taps/homebrew/homebrew-core"
$ git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/homebrew-core.git
$ brew update

- 在zsh下安裝使用brew

➜  ~ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

# 新的方式
Warning: The Ruby Homebrew installer is now deprecated and has been rewritten in
Bash. Please migrate to the following command:
  /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"

# 替換brew源，在國內加速

➜  ~ echo 'export HOMEBREW_BOTTLE_DOMAIN=https://mirrors.tuna.tsinghua.edu.cn/homebrew-bottles' >> ~/.zshrc 

➜  ~ source ~/.zshrc

➜  ~ cd "$(brew --repo)"

➜  Homebrew git:(stable) git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/brew.git

➜  Homebrew git:(stable) cd "$(brew --repo)/Library/Taps/homebrew/homebrew-core"

➜  homebrew-core git:(master) git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/homebrew-core.git

➜  homebrew-core git:(master) brew update

Already up-to-date.

 

 

 

 

2.安裝OpenCV

# 搜索
$ brew search opencv
==> Formulae
opencv                            opencv@2                          opencv@3

# 安裝想要的版本
$ brew install opencv@3

安裝完后可以添加環境變量

export PATH="/usr/local/opt/opencv@3/bin:$PATH"
export OpenCV_LIBS=/usr/local/opt/opencv@3/lib
export OpenCV_INCLUDE_DIRS=/usr/local/opt/opencv@3/include

3 Xcode下使用

可參考 https://www.jianshu.com/p/a868e11e3f52

新建Xcode Project

 

 

 

添加Header Search Paths，路徑看自己的實際位置   /usr/local/Cellar/opencv@3/3.4.9_1/include

 

 

 

 

 

Library Search Paths中添加  /usr/local/Cellar/opencv@3/3.4.9_1/lib

 

 

 

 

 

右鍵黃色文件夾，添加New Group 重命名為head

 

 

 

在finder中前往  /usr/local/Cellar/opencv@3/3.4.9_1/lib 文件夾，將文件夾內所有dylib類型文件拖到head文件夾下，在彈出框中選定 copy items if needed

這里也可以參考 https://www.jianshu.com/p/a868e11e3f52 相關步驟

按組合鍵 command+shift+G 可以快速打開前往文件夾

 

 

 

修改main.cpp代碼 代碼參考：https://www.jianshu.com/p/a868e11e3f52

#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

IplImage* doCanny(IplImage* image_input,
                  double lowThresh,
                  double highThresh,
                  double aperture)
{
    if(image_input->nChannels != 1)
        return (0);

    IplImage* image_output = cvCreateImage(cvGetSize(image_input),
                                           image_input->depth,
                                           image_input->nChannels);

    cvCanny(image_input,image_output,lowThresh,highThresh,aperture);

    return(image_output);
}
int main(int argc, const char * argv[]) {
    cvNamedWindow("Camera" , CV_WINDOW_AUTOSIZE );

    CvCapture* capture = cvCreateCameraCapture(CV_CAP_ANY);

    assert(capture != NULL);

    IplImage *frame = 0;
    frame = cvQueryFrame(capture);

    IplImage *frame_edge = cvCreateImage(cvGetSize(frame),
                                         IPL_DEPTH_8U,
                                         1);
    while(1)
    {
        frame = cvQueryFrame(capture);
        if(!frame) break;

        cvConvertImage(frame,frame_edge,0);
        frame = cvCloneImage(frame_edge);

        frame_edge = doCanny(frame_edge,70,90,3);

        cvShowImage("Camera",frame_edge);
        char c = cvWaitKey(15);
        if(c == 27)  break;
    }

    cvReleaseCapture(&capture);
    cvReleaseImage( &frame_edge );
    cvReleaseImage( &frame);


    return (int)0;
}

編譯運行，控制台可能會提示打開攝像頭的權限不足

OpenCV: not authorized to capture video (status 0), requesting...

2020-02-26 11:50:25.607042+0800 PrOpencv[2922:86917] [access] This app has crashed because it attempted to access privacy-sensitive data without a usage description.  The app's Info.plist must contain an NSCameraUsageDescription key with a string value explaining to the user how the app uses this data.

 

有兩種方法解決，一種根據提示，在products文件夾新建Info.plist文件，並添加NSCameraUsageDescription key ，獲取文件夾權限，再次運行時，提示打開攝像頭，允許

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
    <key>NSCameraUsageDescription</key>
    <string>USE</string>
    <key>Privacy - Camera Usage Description</key>
    <string>YES</string>
</dict>
</plist>

另一種，直接定位到products文件夾內，雙擊運行編譯出的可執行文件，然后打開攝像頭權限即可

 

 

 

 

 

4 Clion下使用

安裝Clion

新建工程

 

 配置Cmake ，修改CmakeList.txt

參考 https://blog.csdn.net/weixin_39393741/article/details/85070299

# MyPrOpencv 是工程名字

cmake_minimum_required(VERSION 3.15) # 版本
project(MyPrOpencv)  # 工程名

# 設置OpenCV DIR
set(OpenCV_DIR /usr/local/opt/opencv@3)
# 尋找OpenCV.CMakeLists,以此找到包,並賦值各庫相關變量
find_package(OpenCV REQUIRED)

# OpenCV_INCLUDE_DIRS是關於find_package的變量,
# 包含了一個路徑，這樣可以在代碼中的#include做根目錄
include_directories( /usr/local/Cellar/opencv@3/3.4.9_1/include )

set(CMAKE_CXX_STANDARD 14)  # 標准庫

# 添加對主函數的可執行文件
add_executable(MyPrOpencv main.cpp)

# 鏈接OpenCV庫,OpenCV_LIBS為代表庫可執行文件的變量
target_link_libraries( MyPrOpencv ${OpenCV_LIBS} )

其中以下4句為新添加，OpenCV_LIBS為之前添加的環境變量，修改CMakeLists后需要Reload changes

# 設置OpenCV DIR
set(OpenCV_DIR /usr/local/opt/opencv@3)
# 尋找OpenCV.CMakeLists,以此找到包,並賦值各庫相關變量
find_package(OpenCV REQUIRED)

# OpenCV_INCLUDE_DIRS是關於find_package的變量,
# 包含了一個路徑，這樣可以在代碼中的#include做根目錄
include_directories( /usr/local/Cellar/opencv@3/3.4.9_1/include )
# 鏈接OpenCV庫,OpenCV_LIBS為代表庫可執行文件的變量
target_link_libraries( MyPrOpencv ${OpenCV_LIBS} )

修改main.cpp文件，同上

 

編譯成功以后可以找到編譯好的可執行文件，點擊運行，暫時沒找到添加攝像頭權限的方法。