text: import numpy as np
  
  
  def preprocess_input(x, mean=None, std=None, input_space='RGB',
                       input_range=None, **kwargs):
      if input_space == 'BGR':
          x = x[..., ::-1].copy()
  
      if input_range is not None:
          if x.max() > 1 and input_range[1] == 1:
              x = x / 255.
  
      if mean is not None:
          mean = np.array(mean)
          x = x - mean
  
      if std is not None:
          std = np.array(std)
          x = x / std
  
      return x
  