code: def __call__(self, img):
      trans = {
          0: lambda x: x,
          1: lambda x: F.hflip(x),
          2: lambda x: F.vflip(x),
          3: lambda x: F.vflip(F.hflip(x)),
          4: lambda x: F.rotate(x, 90, False, False),
          5: lambda x: F.hflip(F.rotate(x, 90, False, False)),
          6: lambda x: F.vflip(F.rotate(x, 90, False, False)),
          7: lambda x: F.vflip(F.hflip(F.rotate(x, 90, False, False))),
      }
      return trans[self.index](img)
  
imports: import os
  import cv2
  import numpy
  import random
  import torchvision.transforms.functional
  from torchvision.transforms import RandomResizedCrop, ColorJitter, RandomAffine
  import PIL
  from PIL import Image
  import collections
  import settings
label_desc: Use image node_id 2 for calling the TTATransform obj's underlying member method code with example usage: obj.__call__(img) and returns: trans