text: import numpy as np
  import cv2
  import time
  from PIL import Image
  from face_functions import *
  
  # MODEL = "hog"
  
  datapath = getDataPath()
  
  vid = cv2.VideoCapture(0)
  time.sleep(2.0)
  
  while (True):
      ret, img = vid.read()
      image = Image.fromarray(img)
      image.thumbnail((700,700))
      image = np.asarray(image)
  
      locations = detectFace(image)
      if locations:
          recognizeFace(image, locations, datapath)
  
      cv2.imshow ('image', image)
      if cv2.waitKey(1) & 0xFF == ord('q'):
          break
  
  
  vid.release()
  cv2.destroyAllWindows()
  