code: def setUp(self):
      self.link = FeaturePredictor(
          DummyFeatureExtractor(self.in_channels, (1,), None),
          crop_size=self.crop_size,
          scale_size=self.scale_size,
          crop=self.crop,
          mean=self.mean,
      )
  
      if isinstance(self.crop_size, int):
          hw = (self.crop_size, self.crop_size)
      else:
          hw = self.crop_size
      if self.crop == "center":
          self.expected_shape = (1, self.in_channels) + hw
      elif self.crop == "10":
          self.expected_shape = (10, self.in_channels) + hw
  
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 for calling the TestFeaturePredictor obj's underlying member method code with example usage: obj.setUp() without return types