code: def fb_preprocess(x):
      # Refer to the following Torch ResNets
      # https://github.com/facebook/fb.resnet.torch/blob/master/pretrained/classify.lua
      x = x.copy()
      x /= 255.0
      x[:, :, :, 0] -= 0.485
      x[:, :, :, 1] -= 0.456
      x[:, :, :, 2] -= 0.406
      x[:, :, :, 0] /= 0.229
      x[:, :, :, 1] /= 0.224
      x[:, :, :, 2] /= 0.225
      return x
  
file_path: tensornets/tensornets/preprocess.py
imports: import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: fb_preprocess(x) and returns: x