text: import  numpy  as  np
  import cv2
  import turtle
  from random import randint
  image = cv2.imread(r"C:\face_recognize\my photo.jpg")
  harcascade = r"C:\face_recognize\data\haarcascade_frontalface_default.xml"
  gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
  face_cascade = cv2.CascadeClassifier(harcascade)
  face = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)
  recognizer = cv2.face.LBPHFaceRecognizer_create()
  
  for (x,y,w,h) in face:
      cv2.rectangle(gray, (x, y), (x+h, y+w), (200, 20, 10), 3)
      gray = gray[x-100:x + h-80, y+100:y + w+150]
      # gray = gray[x + h:x, y + w:y]
      print(x, y, w, h)
  
  data = []
  for i in gray:
      # print(list(i))
      print(list(i), file=open("test.txt", 'w'))
  cv2.imshow("hello", gray)
  cv2.waitKey(0)
  cv2.destroyAllWindows()
  