class_docstr: Extracts polyphonic tracks from a quantized NoteSequence.
code: def __init__(self, min_steps, max_steps, name=None):
      super(PolyphonicSequenceExtractor, self).__init__(
          input_type=music_pb2.NoteSequence,
          output_type=polyphony_lib.PolyphonicSequence,
          name=name,
      )
      self._min_steps = min_steps
      self._max_steps = max_steps
  
file_path: magenta/magenta/models/polyphony_rnn/polyphony_rnn_pipeline.py
imports: from magenta.models.polyphony_rnn import polyphony_lib
  from magenta.pipelines import dag_pipeline
  from magenta.pipelines import event_sequence_pipeline
  from magenta.pipelines import note_sequence_pipelines
  from magenta.pipelines import pipeline
  from magenta.pipelines import pipelines_common
  from note_seq.protobuf import music_pb2
label_desc: Use image node_id 1 to create a new PolyphonicSequenceExtractor object from inherited base classes: pipeline with example: obj = PolyphonicSequenceExtractor(min_steps, max_steps, name)