code: def __init__(self, path, root, mean, crop_size, random=True):
      self.base = datasets.LabeledImageDataset(path, root)
      self.mean = mean.astype(chainer.get_dtype())
      self.crop_size = crop_size
      self.random = random
  
file_path: chainer/examples/imagenet/dataset_util.py
imports: import random
  import chainer
  from chainer import dataset
  from chainer import datasets
label_desc: Use image node_id 1 to create a new PreprocessedDataset object from inherited base classes: dataset with example: obj = PreprocessedDataset(path, root, mean, crop_size, random)