code: def __init__(
      self,
      n_anchor_base,
      feat_stride,
      n_fg_class,
      n_roi,
      min_size,
      max_size,
  ):
      super(DummyFasterRCNN, 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,
      )
  
imports: import numpy
  import chainer
  from chainercv.links.model.faster_rcnn import FasterRCNN
  from chainercv.utils import generate_random_bbox
label_desc: Use image node_id 1 to create a new DummyFasterRCNN object from inherited base classes: FasterRCNN with example: obj = DummyFasterRCNN(n_anchor_base, feat_stride, n_fg_class, n_roi, min_size, max_size)