code: def _outputs_match(output1, output2):
      return _dicts_match(
          output1["cls_outputs"], output2["cls_outputs"]
      ) and _dicts_match(output1["box_outputs"], output2["box_outputs"])
  
imports: import os
  import tempfile
  from unittest import mock
  import numpy
  import tensorflow
  from mediapipe.model_maker.python.vision.object_detector import dataset
  from mediapipe.model_maker.python.vision.object_detector import model
  from mediapipe.model_maker.python.vision.object_detector import model_options
  from mediapipe.model_maker.python.vision.object_detector import model_spec
  from mediapipe.model_maker.python.vision.object_detector import preprocessor
  from mediapipe.tasks.python.test import test_utils
label_desc: Use image node_id 2 for calling a global function with example usage: _outputs_match(output1, output2) and returns: unknown