text: import numpy as np
  import cv2
  face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
  eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
  cap = cv2.VideoCapture(0)
  
  while 1:
      ret, img = cap.read()
      gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
      faces = face_cascade.detectMultiScale(gray, 1.3, 5)
  
      for (x,y,w,h) in faces:
          cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
          roi_gray = gray[y:y+h, x:x+w]
          roi_color = img[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('img',img)
      k = cv2.waitKey(30) & 0xff
      if k == 27:
          break
  
  cap.release()
  cv2.destroyAllWindows()
  