code: def __init__(self, data_processing: DataProcessorPipeline):
      self.data_processing = data_processing
      self.processors = []
      for p in self.data_processing.pipeline:
          proc = p.create_processor_fn()
          if isinstance(proc, SequenceProcessor):
              self.processors.extend(proc.processors)
          else:
              self.processors.extend(proc)
  
      self.processors = list(
          filter(
              lambda p: isinstance(p, ImageProcessor), self.processors
          )
      )
  
imports: from tfaip.data.pipeline.processor.dataprocessor import SequenceProcessor
  from tfaip.data.pipeline.processor.pipeline import DataProcessorPipeline
  from calamari_ocr.ocr.dataset.imageprocessors.data_preprocessor import ImageProcessor
label_desc: Use image node_id 1 to create a new OutputToInputTransformer object  with example: obj = OutputToInputTransformer(data_processing)