code: def __init__(self, fcis):
      self.fcis = fcis
  
imports: from __future__ import division
  import argparse
  import numpy
  import six
  import chainer
  from chainer.dataset.convert import _concat_arrays
  from chainer.dataset.convert import to_device
  from chainer.datasets import TransformDataset
  from chainer.training import extensions
  from chainer.training.triggers import ManualScheduleTrigger
  from chainercv.datasets import sbd_instance_segmentation_label_names
  from chainercv.datasets import SBDInstanceSegmentationDataset
  from chainercv.experimental.links import FCISResNet101
  from chainercv.experimental.links import FCISTrainChain
  from chainercv.extensions import InstanceSegmentationVOCEvaluator
  from chainercv.links.model.ssd import GradientScaling
  from chainercv import transforms
  from chainercv.utils.mask.mask_to_bbox import mask_to_bbox
label_desc: Use image node_id 1 to create a new Transform object from inherited base classes: object with example: obj = Transform(fcis)