new_contents: import cv2
  
  # Get user supplied values
  imagePath = "image.jpg"
  cascPath ="haarcascade_frontalface_default.xml" 
  
  # Create the haar cascade
  faceCascade = cv2.CascadeClassifier(cascPath)
  
  # Read the image
  image = cv2.imread(imagePath)
  gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
  
  # Detect faces in the image
  faces = faceCascade.detectMultiScale(
      gray,
      scaleFactor=1.1,
      minNeighbors=5,
      minSize=(30, 30),
      flags = cv2.cv.CV_HAAR_SCALE_IMAGE
  )
  
  print "Found {0} faces!".format(len(faces))
  
  # Draw a rectangle around the faces
  for (x, y, w, h) in faces:
      cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
  
  cv2.imshow("Faces found", image)
  cv2.waitKey(0)
  
subject: Create Face_Detection.py