text: import numpy as np
  import cv2
  
  #fourcc = cv2.VideoWriter_fourcc(*'XVID')
  #out = cv2.VideoWriter('output.avi', fourcc, 20.0, (640, 480))
  
  face_cascade = cv2.CascadeClassifier('/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml')
  eye_cascade = cv2.CascadeClassifier('/usr/local/share/OpenCV/haarcascades/haarcascade_eye.xml')
  
  cap = cv2.VideoCapture("http://192.168.50.20:3000/html/cam_pic_new.php?time=9999999999999&pDelay=40000")
  
  while(cap.isOpened()):
  	ret, frame = cap.read()
  
  	gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
  
  	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
  	for(x, y, w, h) in faces:
  		cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
  		roi_gray = gray[y:y+h, x:x+w]
  		roi_color = frame[y:y+h, x:x+w]
  		eyes = eye_cascade.detectMultiScale(roi_gray)
  		for(ex, ey, ew, eh) in eyes:
  			cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)
  
  	cv2.imshow('frame', frame)
  
  	#out.write(frame)
  
  	k = cv2.waitKey(0)
  	if k == 27:         # wait for ESC key to exit
      		cv2.destroyAllWindows()
  
  cap.release()
  #out.release()
  cv2.destroyAllWindows()
  