class_docstr: Each instance of this class represents a specific transform.
class_docstr_tok: ["Each","instance","of","this","class","represents","a","specific","transform","."]
docstr: Parameters
  ----------
  name: name of the operation
  xform_fn: augmentation operation function
docstr_tok: ["Parameters","--","--","--","--","--","name",":","name","of","the","operation","xform_fn",":","augmentation","operation","function"]
code: def __init__(self, name, xform_fn):
      """
      Parameters
      ----------
      name: name of the operation
      xform_fn: augmentation operation function
      """
      self.name = name
      self.xform = xform_fn
  
imports: import logging
  import random
  import nltk
  from PIL import Image, ImageEnhance, ImageOps
  from ..constants import AUTOMM, IMAGE, TEXT
label_desc: Use image node_id 1 to create a new TransformT object from inherited base classes: object with example: obj = TransformT(name, xform_fn)