class_docstr: Wrap an augmentor form the albumentations library: https://github.com/albu/albumentations.
  Coordinate augmentation is not supported by the library.
  
  Example:
  
  .. code-block:: python
  
      from tensorpack import imgaug
      # or from dataflow import imgaug  # if you're using the standalone version of dataflow
      import albumentations as AB
      myaug = imgaug.Albumentations(AB.RandomRotate90(p=1))
class_docstr_tok: ["Wrap","an","augmentor","form","the","albumentations","library",":","https",":","\/\/github.com\/albu\/albumentations",".","Coordinate","augmentation","is","not","supported","by","the","library",".","Example",":","..","code-block",":",":","python","from","tensorpack","import","imgaug","#","or","from","dataflow","import","imgaug","#","if","you","'re","using","the","standalone","version","of","dataflow","import","albumentations","as","AB","myaug","=","imgaug.Albumentations","(","AB.RandomRotate90","(","p=1",")",")"]
docstr: Args:
      augmentor (albumentations.BasicTransform):
docstr_tok: ["Args",":","augmentor","(","albumentations.BasicTransform",")",":"]
code: def __init__(self, augmentor):
      """
      Args:
          augmentor (albumentations.BasicTransform):
      """
      super(Albumentations, self).__init__()
      self._aug = augmentor
  
file_path: tensorpack/tensorpack/dataflow/imgaug/external.py
imports: import numpy
  from .base import ImageAugmentor
  from .transform import Transform
label_desc: Use image node_id 1 to create a new Albumentations object from inherited base classes: ImageAugmentor with example: obj = Albumentations(augmentor)