code: def __init__(self, in_channels, shape_0, shape_1):
      super(DummyFeatureExtractor, self).__init__()
      self.shape_0 = shape_0
      self.shape_1 = shape_1
      self.mean = np.zeros(in_channels).reshape((in_channels, 1, 1))
  
imports: import numpy
  import unittest
  import chainer
  from chainer import testing
  from chainer.testing import attr
  from chainercv.links import FeaturePredictor
label_desc: Use image node_id 1 to create a new DummyFeatureExtractor object from inherited base classes: chainer with example: obj = DummyFeatureExtractor(in_channels, shape_0, shape_1)