code: def __init__(self, *args, **kwargs):
      super(AugmentationProcessor, self).__init__(*args, **kwargs)
      self.data_aug_params = DataAugmentationAmount.from_factor(
          self.params.n_augmentations
      )
      self.data_augmenter = self.params.augmenter.create()
  
imports: import copy
  from dataclasses import dataclass, field
  from functools import partial
  from typing import List, Iterable, Type
  import numpy
  from paiargparse import pai_dataclass, pai_meta
  from tfaip.data.pipeline.definitions import Sample
  from tfaip.data.pipeline.processor.dataprocessor import MappingDataProcessor, DataProcessorParams
  from tfaip.util.multiprocessing.parallelmap import parallel_map
  from calamari_ocr.ocr.augmentation.data_augmenter import DataAugmenterParams, DefaultDataAugmenterParams
  from calamari_ocr.ocr.augmentation.dataaugmentationparams import DataAugmentationAmount
label_desc: Use image node_id 1 to create a new AugmentationProcessor object from inherited base classes: MappingDataProcessor with example: obj = AugmentationProcessor()