text: import scipy
  import numpy as np
  
  def get_imgs_fn(file_name):
  	return scipy.misc.imread(file_name, mode='RGB')
  
  def augment_imgs_fn(x, add_noise=True):
  	return x+0.1*x.std()*np.random.random(x.shape)
  
  def normalize_imgs_fn(x):
      x = x * (2./ 255.) - 1.
      # x = x * (1./255.)
      return x
  
  def truncate_imgs_fn(x):
  	x = np.where(x > -1., x, -1.)
  	x = np.where(x < 1., x, 1.)
  	return x