MAC下使用homebrew安装安装opencv，配置在Clion和Xcode上使用

参考：

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

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

1.安装homebrew

命令行一键安装，国内加速可参考 https://www.jianshu.com/p/22820319f71b

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

安装完后可以替换brew源，在国内加速

清华镜像源

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

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

# 1二进制包源
echo 'export HOMEBREW_BOTTLE_DOMAIN=https://mirrors.tuna.tsinghua.edu.cn/homebrew-bottles' >> ~/.bash_profile
source ~/.bash_profile

# 2 仓库源

$ 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下安装使用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)"

# 替换brew源，在国内加速

➜ ~ 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.安装OpenCV

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

# 安装想要的版本
$ brew install opencv@3

安装完后可以添加环境变量

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

可参考 https://www.jianshu.com/p/a868e11e3f52

新建Xcode Project

添加Header Search Paths，路径看自己的实际位置 /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

右键黄色文件夹，添加New Group 重命名为head

在finder中前往 /usr/local/Cellar/opencv@3/3.4.9_1/lib 文件夹，将文件夹内所有dylib类型文件拖到head文件夹下，在弹出框中选定 copy items if needed

这里也可以参考 https://www.jianshu.com/p/a868e11e3f52 相关步骤

按组合键 command+shift+G 可以快速打开前往文件夹

修改main.cpp代码代码参考：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;
}

编译运行，控制台可能会提示打开摄像头的权限不足

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.

有两种方法解决，一种根据提示，在products文件夹新建Info.plist文件，并添加NSCameraUsageDescription key ，获取文件夹权限，再次运行时，提示打开摄像头，允许

<?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>

另一种，直接定位到products文件夹内，双击运行编译出的可执行文件，然后打开摄像头权限即可

4 Clion下使用

安装Clion

新建工程

配置Cmake ，修改CmakeList.txt

参考 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

# 设置OpenCV DIR
set(OpenCV_DIR /usr/local/opt/opencv@3)
# 寻找OpenCV.CMakeLists,以此找到包,并赋值各库相关变量
find_package(OpenCV REQUIRED)

# OpenCV_INCLUDE_DIRS是关于find_package的变量,
# 包含了一个路径，这样可以在代码中的#include做根目录
include_directories( /usr/local/Cellar/opencv@3/3.4.9_1/include )

set(CMAKE_CXX_STANDARD 14)  # 标准库

# 添加对主函数的可执行文件
add_executable(MyPrOpencv main.cpp)

# 链接OpenCV库,OpenCV_LIBS为代表库可执行文件的变量
target_link_libraries( MyPrOpencv ${OpenCV_LIBS} )

其中以下4句为新添加，OpenCV_LIBS为之前添加的环境变量，修改CMakeLists后需要Reload changes

# 设置OpenCV DIR
set(OpenCV_DIR /usr/local/opt/opencv@3)
# 寻找OpenCV.CMakeLists,以此找到包,并赋值各库相关变量
find_package(OpenCV REQUIRED)

# OpenCV_INCLUDE_DIRS是关于find_package的变量,
# 包含了一个路径，这样可以在代码中的#include做根目录
include_directories( /usr/local/Cellar/opencv@3/3.4.9_1/include )
# 链接OpenCV库,OpenCV_LIBS为代表库可执行文件的变量
target_link_libraries( MyPrOpencv ${OpenCV_LIBS} )

修改main.cpp文件，同上

编译成功以后可以找到编译好的可执行文件，点击运行，暂时没找到添加摄像头权限的方法。

posted @ 2020-02-26 12:51 lduml 阅读(2349) 评论(0) 编辑收藏举报

刷新页面返回顶部

lduml