code: def test_read_image_different_backends_as_color(self):
      with chainer.using_config("cv_read_image_backend", "cv2"):
          cv2_img = read_image(
              self.file,
              dtype=self.dtype,
              color=self.color,
              alpha=self.alpha,
          )
  
      with chainer.using_config("cv_read_image_backend", "PIL"):
          pil_img = read_image(
              self.file,
              dtype=self.dtype,
              color=self.color,
              alpha=self.alpha,
          )
  
      if self.format != "jpeg":
          if self.dtype == np.float32 and self.alpha is not None:
              np.testing.assert_almost_equal(
                  cv2_img, pil_img, decimal=4
              )
          else:
              np.testing.assert_equal(cv2_img, pil_img)
      else:
          # jpeg decoders are differnet, so they produce different results
          assert np.mean(cv2_img == pil_img) > 0.99
  
imports: import numpy
  import tempfile
  import unittest
  from PIL import Image
  import chainer
  from chainer import testing
  from chainercv.utils import read_image
  from chainercv.utils import write_image
label_desc: Use image node_id 2 for calling the TestReadImageDifferentBackends obj's underlying member method code with example usage: obj.test_read_image_different_backends_as_color() without return types