code: def test_convert_image_output_bgr(self):  # type: () -> None
      coreml_model = convert(
          self.onnx_model,
          image_input_names=self.input_names,
          image_output_names=self.output_names,
          deprocessing_args={"is_bgr": True},
      )
  
      if _IS_MACOS:
          output = coreml_model.predict(
              {self.input_names[0]: self.img}
          )[self.output_names[0]]
          output = np.array(output)[:, :, :3].transpose((2, 0, 1))
          expected_output = self.img_arr[:, :, ::-1].transpose(
              (2, 0, 1)
          )
          npt.assert_equal(output, expected_output)
  
file_path: turicreate/src/external/coremltools_wrap/coremltools/coremltools/converters/onnx/_tests/test_convert.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  from coremltools._deps import _HAS_ONNX, MSG_ONNX_NOT_FOUND, _IS_MACOS
  import unittest
  import numpy
  import numpy.testing
  import numpy.random
  from PIL import Image
label_desc: Use image node_id 5 for calling the ConvertTest obj's underlying member method code with example usage: obj.test_convert_image_output_bgr() without return types