text: import cv2
  
  from random import randrange
  
  
  trained_face_data = cv2.CascadeClassifier(cv2.data.haarcascades +'haarcascade_frontalface_default.xml')
  
  img = cv2.imread('Dev.png')
  
  grayscaled_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
  
  #Detect faces
  face_coordinates = trained_face_data.detectMultiScale(grayscaled_img)
  
  for (x,y,w,h) in face_coordinates:    
      cv2.rectangle(img, (x,y),(x+w,y+h),(randrange(256),randrange(256),randrange(256)), 2)
  
  # (x,y,w,h) = face_coordinates [0]
  # cv2.rectangle(img, (x,y),(x+w,y+h),(0,255,0), 5)
  
  # print(face_coordinates)
  
  
  
  cv2.imshow('Clever Anurag Face Detector',img)
  cv2.waitKey()
  
  
  
  
  
  
  
  print("Code Completed");
  