class_docstr: Extracts pianoroll tracks from a quantized NoteSequence.
class_docstr_tok: ["Extracts","pianoroll","tracks","from","a","quantized","NoteSequence","."]
code: def __init__(self, min_steps, max_steps, name=None):
      super(PianorollSequenceExtractor, self).__init__(
          input_type=music_pb2.NoteSequence,
          output_type=PianorollSequence,
          name=name,
      )
      self._min_steps = min_steps
      self._max_steps = max_steps
  
file_path: magenta/magenta/pipelines/pianoroll_pipeline.py
imports: 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 magenta.pipelines import statistics
  from note_seq import PianorollSequence
  from note_seq import sequences_lib
  from note_seq.protobuf import music_pb2
label_desc: Use image node_id 1 to create a new PianorollSequenceExtractor object from inherited base classes: pipeline with example: obj = PianorollSequenceExtractor(min_steps, max_steps, name)