从Java中的Mat转换为Python中的Socket中的Image

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.CvType;
import org.opencv.core.MatOfByte;
import org.opencv.core.MatOfInt;
import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

import java.io.DataOutputStream;
import java.io.IOException;
import java.net.Socket;

public class JavaClient {
    public static void main(String[] args) {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

        // 读取图像文件
        Mat image = Imgcodecs.imread("path/to/image.jpg");

        // 转换为字节数组
        MatOfByte matOfByte = new MatOfByte();
        Imgcodecs.imencode(".jpg", image, matOfByte);
        byte[] byteArray = matOfByte.toArray();

        try {
            // 建立Socket连接
            Socket socket = new Socket("python_server_ip", 8888);

            // 发送字节数组
            DataOutputStream dos = new DataOutputStream(socket.getOutputStream());
            dos.writeInt(byteArray.length);
            dos.write(byteArray);

            // 关闭连接
            dos.close();
            socket.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

import socket
from PIL import Image
import io

# 建立Socket连接
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.bind(('0.0.0.0', 8888))
server_socket.listen(1)

while True:
    # 等待Java端连接
    print('Waiting for connection...')
    client_socket, address = server_socket.accept()
    print('Connected with', address)

    # 接收字节数组
    data = client_socket.recv(1024)
    image_bytes = bytearray(data)

    # 转换为Image对象
    image = Image.open(io.BytesIO(image_bytes))

    # 进行图像处理或其他操作
    # ...

    # 关闭连接
    client_socket.close()