class_docstr: Class encapsulating a batch before and after augmentation.
  
  Parameters
  ----------
  images : None or (N,H,W,C) ndarray or list of (H,W,C) ndarray
      The images to augment.
  
  heatmaps : None or list of imgaug.augmentables.heatmaps.HeatmapsOnImage
      The heatmaps to augment.
  
  segmentation_maps : None or list of imgaug.augmentables.segmaps.SegmentationMapsOnImage
      The segmentation maps to augment.
  
  keypoints : None or list of imgaug.augmentables.kps.KeypointOnImage
      The keypoints to augment.
  
  bounding_boxes : None or list of imgaug.augmentables.bbs.BoundingBoxesOnImage
      The bounding boxes to augment.
  
  polygons : None or list of imgaug.augmentables.polys.PolygonsOnImage
      The polygons to augment.
  
  line_strings : None or list of imgaug.augmentables.lines.LineStringsOnImage
      The line strings to augment.
  
  data
      Additional data that is saved in the batch and may be read out
      after augmentation. This could e.g. contain filepaths to each image
      in `images`. As this object is usually used for background
      augmentation with multiple processes, the augmented Batch objects might
      not be returned in the original order, making this information useful.
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docstr: Return this batch.
  
  This method does nothing and only exists to simplify interfaces
  that accept both :class:`UnnormalizedBatch` and :class:`Batch`.
  
  Added in 0.4.0.
  
  Returns
  -------
  imgaug.augmentables.batches.Batch
      This batch (not copied).
docstr_tok: ["Return","this","batch",".","This","method","does","nothing","and","only","exists","to","simplify","interfaces","that","accept","both",":","class",":","`","UnnormalizedBatch","`","and",":","class",":","`","Batch","`",".","Added","in","0.4.0",".","Returns","--","--","--","-","imgaug.augmentables.batches.Batch","This","batch","(","not","copied",")","."]
code: def to_normalized_batch(self):
      """Return this batch.
  
      This method does nothing and only exists to simplify interfaces
      that accept both :class:`UnnormalizedBatch` and :class:`Batch`.
  
      Added in 0.4.0.
  
      Returns
      -------
      imgaug.augmentables.batches.Batch
          This batch (not copied).
  
      """
      return self
  
imports: from __future__ import print_function, division, absolute_import
  import collections
  import numpy
  from ..None import imgaug
  from .None import normalization
  from .None import utils
label_desc: Use image node_id 8 for calling the Batch obj's underlying member method code with example usage: obj.to_normalized_batch() and returns: self