text: import cv2
  import matplotlib.pyplot as plt
  import numpy as np
  from keras.preprocessing import image
  
  def load_image(image_path, grayscale=False, target_size=None):
      pil_image = image.load_img(image_path,grayscale=grayscale,target_size=target_size)
      return image.img_to_array(pil_image)
  
  def load_detection_model(model_path):
      detection_model = cv2.CascadeClassifier(model_path)
      return detection_model
  
  def detect_faces(detection_model, gray_image_array):
      return detection_model.detectMultiScale(gray_image_array, 1.3, 5)
  
  def draw_bounding_box(face_coordinates, image_array, color):
      x, y, w, h = face_coordinates
      cv2.rectangle(image_array, (x, y), (x + w, y + h), color, 2)
  
  def apply_offsets(face_coordinates, offsets):
      x, y, width, height = face_coordinates
      x_off, y_off = offsets
      return (x - x_off, x + width + x_off, y - y_off, y + height + y_off)
  
  def draw_text(coordinates, image_array, text, color, x_offset=0, y_offset=0,
                                                  font_scale=2, thickness=2):
      x, y = coordinates[:2]
      cv2.putText(image_array, text, (x + x_offset, y + y_offset),
                  cv2.FONT_HERSHEY_SIMPLEX,
                  font_scale, color, thickness, cv2.LINE_AA)
  
  def get_colors(num_classes):
      colors = plt.cm.hsv(np.linspace(0, 1, num_classes)).tolist()
      colors = np.asarray(colors) * 255
      return colors
  
  