使用树莓派进行OpenCV编程

在树莓派上安装openCV

网上有现成的方法，按照步骤一步一步走下来基本没什么问题，就是在树莓派中编译的时间比较长，我这里使用的树莓派3b+,在树莓派安装openCv

进行编程

• 1 用vscode 使用ssh 连接树莓派
• 2 创建工程目录，编写Cmakelists.text，工程目录如下图
  
  • 3 编写我们的CMakeLists.txt
    “`
    cmake_minimum_required(VERSION 3.5)
    project (opencv_test)
    set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${opencv_test_SOURCE_DIR/bin})</li>
    </ul></li>
    </ul>

    <h1>寻找OpenCV库</h1>

    find_package(OpenCV REQUIRED)

    <h1>包含头文件</h1>

    include_directories(${OpenCV_INCLUDE_DIRS})
    add_executable(opencv_test src/opencv_test)
    link_directories(${OpenCV_LIBRARY_DIRS})
    target_link_libraries(opencv_test ${OpenCV_LIBS})
    “`

    • 4 编写我们的cpp 文件

    opencv_test.cpp
    #include <opencv2/core/core.hpp>
    #include <opencv2/highgui/highgui.hpp>
    #include <opencv2/imgproc/imgproc.hpp>
    #include <iostream>
    
    using namespace std;
    using namespace cv;
    
    int main(int argc,char** argv) {
        if (argc != 2)
        {
            cout << "Usage: opencv_test <image path>" << endl;
            return -1;
        }
    
        char *imgName = argv[1];
        Mat image;
    
        image = imread(imgName, 1);
        if (!image.data)
        {
            cout << "No image data" << endl;
            return -1;
        }
        Mat gray_img;
    
        cvtColor(image, gray_img, CV_BGR2GRAY);
        imwrite("images/result.jpg", gray_img);
    
        return 0;
    }
    
    

    • 5 进入build 目录中进行编译

    cd build
    cmake ..