修改以下代码使其能够在python3.8.2，cv库为4.8的环境中运行 import cv2 import numpy as np import socket import struct #cam_num = 2 # 1,2 the number of cameras used IpLastSegment = "20" udpPORT1 = 9203 # port_id of the camera which was used udpPORT2 = 9204 # port_id of the camera which was used udpstrPrevData = "udpsrc address=192.168.123." + IpLastSegment + " port=" udpstrBehindData = " ! application/x-rtp,media=video,encoding-name=H264 ! rtph264depay ! h264parse ! avdec_h264 ! videoconvert ! appsink" udpSendIntegratedPipe1 = udpstrPrevData + str(udpPORT1) + udpstrBehindData udpSendIntegratedPipe2 = udpstrPrevData + str(udpPORT2) + udpstrBehindData print("udpSendIntegratedPipe1:", udpSendIntegratedPipe1) print("udpSendIntegratedPipe2:", udpSendIntegratedPipe2) cam1 = cv2.VideoCapture(udpSendIntegratedPipe1) cam2 = cv2.VideoCapture(udpSendIntegratedPipe2) while(True): ret1 , image1 = cam1.read() image1 = cv2.resize(image1 , (640,480)) ret2 , image2 = cam2.read() image2 = cv2.resize(image2,(640,480)) cv2.imshow("image1" , image1) cv2.imshow("image2" , image2) if cv2.waitKey(1) & 0xFF == ord('q'): # 读完按 q 退出 break

要在 Python 3.8.2 和 OpenCV 4.8 的环境中运行该代码，你需要进行以下修改：

1. 将 `cv2.VideoCapture` 的参数类型修改为整数类型。在 OpenCV 4.8 中，`cv2.VideoCapture` 要求的参数类型必须为整数，而不是字符串类型。因此，你需要将以下两行代码修改为：

cam1 = cv2.VideoCapture(int(udpPORT1))
cam2 = cv2.VideoCapture(int(udpPORT2))

2. 在使用 `cv2.resize` 函数之前，添加对图像读取的检查。在读取图像后，需要检查 `ret1` 和 `ret2` 的值是否为 `True`，以确保图像读取成功。如果读取失败，你可以选择跳过当前循环或者采取其他操作。修改代码如下：

while True:
    ret1, image1 = cam1.read()
    ret2, image2 = cam2.read()

    if not ret1 or not ret2:
        continue

    image1 = cv2.resize(image1, (640, 480))
    image2 = cv2.resize(image2, (640, 480))

    cv2.imshow("image1", image1)
    cv2.imshow("image2", image2)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

这些修改应该使代码能够在 Python 3.8.2 和 OpenCV 4.8 环境中正常运行。