class_docstr: An trained model that is ready to use for classification, exported to
  Core ML, or for feature extraction.
  
  This model should not be constructed directly.
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docstr: Print a summary of the model. The summary includes a description of
  training data, options, hyper-parameters, and statistics measured
  during model creation.
  
  Parameters
  ----------
  output : str, None
      The type of summary to return.
  
      - None or 'stdout' : print directly to stdout.
  
      - 'str' : string of summary
  
      - 'dict' : a dict with 'sections' and 'section_titles' ordered
        lists. The entries in the 'sections' list are tuples of the form
        ('label', 'value').
  
  Examples
  --------
  >>> m.summary()
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code: def summary(self, output=None):
      """
      Print a summary of the model. The summary includes a description of
      training data, options, hyper-parameters, and statistics measured
      during model creation.
  
      Parameters
      ----------
      output : str, None
          The type of summary to return.
  
          - None or 'stdout' : print directly to stdout.
  
          - 'str' : string of summary
  
          - 'dict' : a dict with 'sections' and 'section_titles' ordered
            lists. The entries in the 'sections' list are tuples of the form
            ('label', 'value').
  
      Examples
      --------
      >>> m.summary()
      """
      from turicreate.toolkits._internal_utils import (
          _toolkit_serialize_summary_struct,
      )
  
      if output is None or output == "stdout":
          pass
      elif output == "str":
          return self.__repr__()
      elif output == "dict":
          return _toolkit_serialize_summary_struct(
              self.__proxy__["detector"], *self._get_summary_struct()
          )
      try:
          print(self.__repr__())
      except:
          return self.__class__.__name__
  
file_path: turicreate/src/python/turicreate/toolkits/one_shot_object_detector/one_shot_object_detector.py
imports: import turicreate
  from turicreate.toolkits._model import CustomModel
  from turicreate.toolkits._model import PythonProxy, ToolkitError
  from turicreate.toolkits.object_detector.object_detector import ObjectDetector
  from turicreate.toolkits.one_shot_object_detector.util._augmentation import preview_synthetic_training_data
  import turicreate.toolkits._internal_utils
label_desc: Use image node_id 10 for calling the OneShotObjectDetector obj's underlying member method code with example usage: obj.summary(output) and returns: self, self, _toolkit_serialize_summary_struct