code: def __call__(self, img):
      if self.prob < 1.0 and random.random() > self.prob:
          return img
      magnitude = self.magnitude
      if self.magnitude_std and self.magnitude_std > 0:
          magnitude = random.gauss(magnitude, self.magnitude_std)
      magnitude = min(
          _MAX_LEVEL, max(0, magnitude)
      )  # clip to valid range
      level_args = (
          self.level_fn(magnitude, self.hparams)
          if self.level_fn is not None
          else ()
      )
      return self.aug_fn(img, *level_args, **self.kwargs)
  
imports: import math
  import random
  import re
  import numpy
  import PIL
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
  from PIL import Image, ImageEnhance, ImageOps
label_desc: Use image node_id 2 for calling the AugmentOp obj's underlying member method code with example usage: obj.__call__(img) and returns: self, img