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",")",")"]
code: def get_transform(self, img):
      return AlbumentationsTransform(self._aug, self._aug.get_params())
  
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 2 for calling the Albumentations obj's underlying member method code with example usage: obj.get_transform(img) and returns: AlbumentationsTransform