text: import cv2
  
  # image
  img_file = 'Car.png'
  video = cv2.VideoCapture('tesla.mp4')
  
  # pre-trained car classifier
  classifier_file = 'car_detector.xml'
  
  # opencv image
  img = cv2.imread(img_file)
  
  # convert to grayscale (needed for haar cascade)
  black_n_white = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  
  # create car classifier
  car_tracker = cv2.CascadeClassifier(classifier_file)
  
  # detect cars
  cars = car_tracker.detectMultiScale(black_n_white)
  
  # draw rectangles around the cars
  for (x, y, w, h) in cars:
      cv2.rectangle(img, (x, y), (x+w, y+h), (0, 0, 255), 2)
  
  # display the image with car spotted
  cv2.imshow('Clever PRogrammer Cars Detector', img)
  
  # Dont austoclose (Wait here in the code and listen for a key press)
  cv2.waitKey()
  
  print ("Code Completed!")