class_docstr: Class encapsulating a batch during the augmentation process.
  
  Data within the batch is already verified and normalized, similar to
  :class:`Batch`. Data within the batch may be changed in-place. No initial
  copy is needed.
  
  Added in 0.4.0.
  
  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.
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docstr: Create a new :class:`_BatchInAugmentation` instance.
docstr_tok: ["Create","a","new",":","class",":","`","_BatchInAugmentation","`","instance","."]
code: def __init__(
      self,
      images=None,
      heatmaps=None,
      segmentation_maps=None,
      keypoints=None,
      bounding_boxes=None,
      polygons=None,
      line_strings=None,
      data=None,
  ):
      """Create a new :class:`_BatchInAugmentation` instance."""
      self.images = images
      self.heatmaps = heatmaps
      self.segmentation_maps = segmentation_maps
      self.keypoints = keypoints
      self.bounding_boxes = bounding_boxes
      self.polygons = polygons
      self.line_strings = line_strings
      self.data = data
  
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 1 to create a new _BatchInAugmentation object from inherited base classes: object with example: obj = _BatchInAugmentation(images, heatmaps, segmentation_maps, keypoints, bounding_boxes, polygons, line_strings, data)