mac+Xcode+Opencv(Homebrew管理)

痛定思痛。 2022-05-23 07:44 199阅读 0赞

## mac上配置Opencv分为以下步骤: ##

电脑上已经装完xcode,则继续往下看:  
(大体分为两个: 下载opencv; 配置xcode)  
本文参考以下文章,经实践后取得成功.  
[http://www.cnblogs.com/linjk/p/6029306.html][http_www.cnblogs.com_linjk_p_6029306.html]  
[https://www.cnblogs.com/hongyang/p/6644775.html][https_www.cnblogs.com_hongyang_p_6644775.html]  
[https://www.jianshu.com/p/f25a9d35099b][https_www.jianshu.com_p_f25a9d35099b]  
[https://blog.csdn.net/gflytu/article/details/46444027][https_blog.csdn.net_gflytu_article_details_46444027]

### 我写了本篇文章,希望大家在配置方面节约时间. ###

## 1.安装Homebrew ##

终端粘贴:  
安装Homebrew 地址: [https://brew.sh][https_brew.sh]

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

安装science

brew tap homebrew/science

安装opencv

brew install opencv

如果安装出问题的话，可以使用下面的命令重试一下。

brew install opencv --env=std

(以上步骤,要耐心等,时间较长,建议在网速好的地方操作)

## 2.Xcode中新建一个Command Line TOOL的C++的项目 ##

*  新建一个Command Line TOOL的C++的项目 , 命名为下图:

![这里写图片描述][70]

*  点击工程,右侧选择All->Build Settings -> 搜索框输入search paths ->选择search paths下面的Header Search Paths ->双击后面的详细信息添加指定路径:/usr/local/include ->选择search paths下面的Library Search Paths ->双击添加指定路径:/usr/local/lib (这里包含了所需要的库文件).  
    ![这里写图片描述][70 1]

![这里写图片描述][70 2]  
\* 在工程下, 新建一个Group(命名为NENE),将 opencv-lib中的文件放在里面  
![这里写图片描述][70 3]

![这里写图片描述][70 4]  
command+shift+G 输入/usr/local/Cellar/opencv  
找到lib文件夹如下图,点add即可:  
![这里写图片描述][70 5]

## 3.测试项目 ##

可以复制我的下面代码,测试下是否配置好.

#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, char* argv[])
     {
            cvNamedWindow("Camera" , CV_WINDOW_AUTOSIZE );
            CvCapture* capture = cvCreateCameraCapture(CV_CAP_ANY);
            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;
        }

[http_www.cnblogs.com_linjk_p_6029306.html]: http://www.cnblogs.com/linjk/p/6029306.html
[https_www.cnblogs.com_hongyang_p_6644775.html]: https://www.cnblogs.com/hongyang/p/6644775.html
[https_www.jianshu.com_p_f25a9d35099b]: https://www.jianshu.com/p/f25a9d35099b
[https_blog.csdn.net_gflytu_article_details_46444027]: https://blog.csdn.net/gflytu/article/details/46444027
[https_brew.sh]: https://brew.sh
[70]: /images/20220523/a4a4917e6807488782680584b764fc9f.png
[70 1]: /images/20220523/e0958dade3f54940a6a86874d479ca27.png
[70 2]: /images/20220523/3916214ecd944b1bb3271fc4bc1766f1.png
[70 3]: /images/20220523/a57bd56cf9e144dcbce7e96dd50166fc.png
[70 4]: /images/20220523/eb6253486295442da98dcd51feb67aeb.png
[70 5]: /images/20220523/0a0f9a0a522c4e429d2c5a2737d3e679.png