code: def __init__(
      self,
      n_anchor_base,
      feat_stride,
      n_fg_class,
      n_roi,
      roi_size,
      min_size,
      max_size,
  ):
      super(DummyFCIS, self).__init__(
          DummyExtractor(feat_stride),
          DummyRegionProposalNetwork(n_anchor_base, n_roi),
          DummyHead(n_fg_class + 1, roi_size),
          mean=np.array([[[123.15]], [[115.90]], [[103.06]]]),
          min_size=min_size,
          max_size=max_size,
          loc_normalize_mean=(0.0, 0.0, 0.0, 0.0),
          loc_normalize_std=(0.2, 0.2, 0.5, 0.5),
      )
  
imports: import numpy
  import unittest
  import chainer
  from chainer import testing
  from chainer.testing import attr
  from chainercv.experimental.links.model.fcis import FCIS
  from chainercv.utils import assert_is_instance_segmentation_link
  from chainercv.utils import generate_random_bbox
label_desc: Use image node_id 1 to create a new DummyFCIS object from inherited base classes: FCIS with example: obj = DummyFCIS(n_anchor_base, feat_stride, n_fg_class, n_roi, roi_size, min_size, max_size)