WARNING

📌 The installation process requires an internet connection! Please connect the Taishan board to the network!

Install Python-OpenCV

1. Update the libraries:

sudo apt update && sudo apt upgrade

2. Install aptitude:

sudo apt-get install aptitude

3. Install python3-opencv:

sudo aptitude install python3-opencv

4. Verification:

python3

Then enter:

import cv2

Finally, enter the following command to print the information.

If the version number appears, it means the installation was successful.

print(cv2.__version__)

Install Libopencv

1. Update the libraries:

sudo apt update && sudo apt upgrade

2. Install the library:

sudo apt-get install *libopencv*

If this doesn't work, use the following command: sudo apt-get install libopencv-*

Code Demonstration

Objective: We will flip a JPG image. First, select an image on your computer (I'll choose the one shown below).

Now, create a cpp file calledflip_image.cpp

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

int main(int argc, char** argv)
{
    if(argc != 3)
    {
        std::cout << "Usage: " << argv[] << " <input_image_path> <output_image_path>" << std::endl;
        return -1;
    }

    // Load the image
    cv::Mat img = cv::imread(argv[], cv::IMREAD_COLOR);
    if(img.empty())
    {
        std::cout << "Image not found or failed to open!" << std::endl;
        return -1;
    }

    // Flip the image
    cv::Mat flipped;
    cv::flip(img, flipped, 0); // 0 means vertical flip, 1 means horizontal flip, -1 means both horizontal and vertical flip

    /// Save the image
    bool success = cv::imwrite(argv[], flipped);
    if(!success)
    {
        std::cout << "Error writing the image!" << std::endl;
    }
    else
    {
        std::cout << "Image written and saved successfully!!" << std::endl;
    }

    return 0;
}

1. Transfer the image and C++ file to the Taishan board:

   We'll transfer them to the /home/lckfb directory.

2. Compile the cpp file

   Install the G++ compiler:

sudo apt-get install g++

Then, compile the file:

g++ flip_image.cpp -o flip_image `pkg-config --cflags --libs opencv4`

Now, you should see the executable file flip_image in the current directory. 3. Flip the image Run the file to flip the image:

sudo ./flip_image LCKFB.jpg LCKFB_flipped.jpg

After running this command, the program will read LCKFB.jpg, perform a vertical flip, and save the result as LCKFB_flipped.jpg in the same directory. 4. Check the image Transfer the LCKFB_flipped.jpg image to your computer for viewing to check if it's flipped. As shown, the image has been successfully flipped, so the Libopencv installation was successful!

Common Issues

1. If you encounter network issues, try switching to the Tsinghua mirror (but be sure to back up the original files first).
   https://mirrors.tuna.tsinghua.edu.cn/help/ubuntu-ports/