code: def _coreml_python_predict(self, coreml_model, img_fixed):
      from PIL import Image
  
      pil_img = Image.fromarray(img_fixed.pixel_data)
      if _mac_ver() >= (10, 13):
          index_data = np.zeros(self.num_styles)
          index_data[0] = 1
          coreml_output = coreml_model.predict(
              {self.content_feature: pil_img, "index": index_data},
              usesCPUOnly=True,
          )
          img = next(iter(coreml_output.values()))
          img = np.asarray(img)
          img = img[..., 0:3]
          return img
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import pytest
  from .None import util
  import turicreate
  import tempfile
  import numpy
  import platform
  import sys
  import os
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sframe, _mac_ver
label_desc: Use image node_id 21 for calling the StyleTransferTest obj's underlying member method code with example usage: obj._coreml_python_predict(coreml_model, img_fixed) and returns: img