python opencvは、Dahuaカメラのビデオストリームを読み取ります。リアルタイムのモーション検出モーション検出のスクリーンショットは、写真を撮って保存します

#运行环境 python3.8.8+OpenCV-python
import cv2
import time
import datetime  

camera = cv2.VideoCapture("rtsp://192.168.31.253:9090/dss/monitor/params?cameraid=1000131$0&substream=1")
if (camera.isOpened()):
    print('Open')
else:
    print('摄像头未打开')
fps = 5
pre_frame = None
while(1):
    start = time.time()
    ret, frame = camera.read()
    gray_lwpCV = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    if not ret:
        break
    end = time.time()
    seconds = end - start
    if seconds < 1.0 / fps:
        time.sleep(1.0 / fps - seconds)
    gray_lwpCV = cv2.resize(gray_lwpCV, (500, 500))
    gray_lwpCV = cv2.GaussianBlur(gray_lwpCV, (21, 21), 0)
    if pre_frame is None:
        pre_frame = gray_lwpCV
    else:
        img_delta = cv2.absdiff(pre_frame, gray_lwpCV)
        thresh = cv2.threshold(img_delta, 25, 255, cv2.THRESH_BINARY)[1]
        thresh = cv2.dilate(thresh, None, iterations=2)
        contours, hierarchy = cv2.findContours(thresh.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
        for c in contours:
            if cv2.contourArea(c) < 1000:
                continue
            else:
                (x, y, w, h) = cv2.boundingRect(c)
                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
                cv2.putText(frame, "now time: {}".format(str(time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))) ), (10, 20),
                            cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
                print("出现目标物，请求核实")
                image_name = ('D:/desktop/IMAGE/{0}{1}.jpg'.format('Image',datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S")))#根据你的实际保存路径填写，Image+时间
                cv2.imwrite(image_name, frame)
                break
        pre_frame = gray_lwpCV
        cv2.imshow("capture", frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):  #按q键退出
        break 
camera.release()
cv2.destroyAllWindows()