code: def __init__(
      self,
      n_anchor_base,
      feat_stride,
      n_fg_class,
      n_roi,
      min_size,
      max_size,
      loc_normalize_mean,
      loc_normalize_std,
  ):
      super(DummyLightHeadRCNN, self).__init__(
          DummyExtractor(feat_stride),
          DummyRegionProposalNetwork(n_anchor_base, n_roi),
          DummyHead(n_fg_class + 1),
          mean=np.array([[[100]], [[122.5]], [[145]]]),
          min_size=min_size,
          max_size=max_size,
          loc_normalize_mean=loc_normalize_mean,
          loc_normalize_std=loc_normalize_std,
      )
  
imports: import numpy
  import unittest
  import chainer
  from chainer import testing
  from chainer.testing import attr
  from chainercv.links.model.light_head_rcnn import LightHeadRCNN
  from chainercv.utils import assert_is_detection_link
  from chainercv.utils import generate_random_bbox
label_desc: Use image node_id 1 to create a new DummyLightHeadRCNN object from inherited base classes: LightHeadRCNN with example: obj = DummyLightHeadRCNN(n_anchor_base, feat_stride, n_fg_class, n_roi, min_size, max_size, loc_normalize_mean, loc_normalize_std)