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.
class_docstr_tok: ["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","."]
docstr: Print a string description of the model when the model name is entered
  in the terminal.
docstr_tok: ["Print","a","string","description","of","the","model","when","the","model","name","is","entered","in","the","terminal","."]
code: def __repr__(self):
      """
      Print a string description of the model when the model name is entered
      in the terminal.
      """
  
      width = 40
      sections, section_titles = self._get_summary_struct()
      detector = self.__proxy__["detector"]
      out = _tkutl._toolkit_repr_print(
          detector,
          sections,
          section_titles,
          width=width,
          class_name="OneShotObjectDetector",
      )
      return out
  
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 9 for calling the OneShotObjectDetector obj's underlying member method code with example usage: obj.__repr__() and returns: out