text: import numpy as np
  from scipy.misc import imread, imresize
  
  from . import vgg16
  
  
  # util function to open, resize and format pictures into appropriate tensors
  def load_image(image_path):
      return imread(image_path)# , mode='RGB')  # NOTE: this mode kwarg requires v0.17
  
  
  # util function to open, resize and format pictures into appropriate tensors
  def preprocess_image(x, img_width, img_height):
      img = imresize(x, (img_height, img_width), interp='bicubic').astype(np.float32)
      img = vgg16.img_to_vgg(img)
      img = np.expand_dims(img, axis=0)
      return img
  
  
  # util function to convert a tensor into a valid image
  def deprocess_image(x, contrast_percent=0.0, resize=None):
      x = vgg16.img_from_vgg(x)
      if contrast_percent:
          min_x, max_x = np.percentile(x, (contrast_percent, 100 - contrast_percent))
          x = (x - min_x) * 255.0 / (max_x - min_x)
      x = np.clip(x, 0, 255)
      if resize:
          x = imresize(x, resize, interp='bicubic')
      return x.astype('uint8')
  