code: def __init__(self, mean):
      self.mean = mean
  
imports: from __future__ import division
  import argparse
  import multiprocessing
  import numpy
  import chainer
  from chainer import iterators
  from chainer.links import Classifier
  from chainer.optimizer import WeightDecay
  from chainer.optimizers import CorrectedMomentumSGD
  from chainer import training
  from chainer.training import extensions
  from chainercv.chainer_experimental.datasets.sliceable import TransformDataset
  from chainercv.datasets import directory_parsing_label_names
  from chainercv.datasets import DirectoryParsingLabelDataset
  from chainercv.transforms import center_crop
  from chainercv.transforms import random_flip
  from chainercv.transforms import random_sized_crop
  from chainercv.transforms import resize
  from chainercv.transforms import scale
  from chainercv.chainer_experimental.training.extensions import make_shift
  from chainercv.links.model.resnet import Bottleneck
  from chainercv.links import ResNet101
  from chainercv.links import ResNet152
  from chainercv.links import ResNet50
  import chainermn
label_desc: Use image node_id 1 to create a new TrainTransform object from inherited base classes: object with example: obj = TrainTransform(mean)