text: import cv2
  
  from . import IMAGE_PATH_PREFIX, HAARCASCADE_CONFIG
  
  # Define the variables
  IMAGE_NAME = "000.jpg"
  
  classifier = cv2.CascadeClassifier(HAARCASCADE_CONFIG)
  
  if __name__ == "__main__":
      # Get the image
      img = cv2.imread(IMAGE_PATH_PREFIX + IMAGE_NAME)
  
      img_grayscale = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  
      detections = classifier.detectMultiScale(
          img_grayscale, scaleFactor=1.1, minNeighbors=6
      )
  
      # Get the face co-ordinates
      print(f"Co-ordinates:\n{detections}")
  
      # Now let's plot the face co-ordinates
      for x, y, w, h in detections:
          cv2.rectangle(img, (x, y), (x + w, y + h), (64, 224, 208), 2)
  
      # Time to show the Image with detection zones.
      cv2.imshow("Face detection", img)
      cv2.waitKey()
  