class_docstr: A transform that's instantiated at the first call to `apply_image`.
class_docstr_tok: ["A","transform","that","'s","instantiated","at","the","first","call","to","`","apply_image","`","."]
docstr: Args:
      get_transform (img -> Transform): a function which will be used to instantiate a Transform.
docstr_tok: ["Args",":","get_transform","(","img","-",">","Transform",")",":","a","function","which","will","be","used","to","instantiate","a","Transform","."]
code: def __init__(self, get_transform):
      """
      Args:
          get_transform (img -> Transform): a function which will be used to instantiate a Transform.
      """
      self.get_transform = get_transform
      self._transform = None
  
imports: import numpy
  import cv2
  from ...utils.argtools import log_once
  from .base import ImageAugmentor, _default_repr
label_desc: Use image node_id 1 to create a new LazyTransform object from inherited base classes: BaseTransform with example: obj = LazyTransform(get_transform)