RK3588开发板中编译安装opencv

在Ubuntu上安装OpenCV并使用C++进行快速开发，你可以遵循以下步骤：

1 更新系统包索引并安装必要的包：

sudo apt update
sudo apt install build-essential cmake git pkg-config libgtk-3-dev \
                 libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
                 libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
                 gfortran openexr libatlas-base-dev python3-dev python3-numpy \
                 libtbb2 libtbb-dev libdc1394-22-dev

 2克隆OpenCV的GitHub仓库（这一步可能git clone会卡住，直接将地址粘贴到网页上直接到git网页上下zip包然后解压，解压后可能是opencv_4x 或opencv_contrib_4x,把这两个文件夹的名字中的_4x去掉，最后把opencv和opencv_contrib这两个文件夹拷贝到~/opencv_build中：

mkdir ~/opencv_build && cd ~/opencv_build
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git

3.编译OpenCV：

cd ~/opencv_build/opencv
mkdir build && cd build
 
cmake -D CMAKE_BUILD_TYPE=RELEASE \
      -D CMAKE_INSTALL_PREFIX=/usr/local \
      -D INSTALL_C_EXAMPLES=ON \
      -D INSTALL_PYTHON_EXAMPLES=ON \
      -D OPENCV_GENERATE_PKGCONFIG=ON \
      -D OPENCV_EXTRA_MODULES_PATH=~/opencv_build/opencv_contrib/modules \
      -D BUILD_EXAMPLES=ON ..
 
make -j$(nproc)
sudo make install
sudo ldconfig

4 验证安装是否成功，运行一个简单的C++ OpenCV程序：

// main.cpp
#include <opencv2/opencv.hpp>
#include <iostream>
 
int main() {
    cv::Mat image = cv::imread("test.jpg"); // 确保当前目录有test.jpg图片
    if (image.empty()) {
        std::cout << "Could not open or find the image" << std::endl;
        return -1;
    }
    cv::namedWindow("Display window", cv::WINDOW_AUTOSIZE);
    cv::imshow("Display window", image);
    cv::waitKey(0);
    return 0;
}

Makefile中添加

LIBS   :=  -L/usr/local/lib -lopencv_core -lopencv_imgproc -lopencv_video -lopencv_highgui -lopencv_calib3d\
       	-lopencv_features2d -lopencv_flann -lopencv_imgcodecs -lopencv_videoio\
       -lm -lpthread
INC  :=   -I/usr/include/opencv4/

在命令行中执行如下：

sudo ln -s /usr/include/opencv4/opencv2 /usr/include/

FR：徐海涛(hunkxu)