code: def test_tta():
      img_f = os.path.join(settings.TEST_IMG_DIR, "0c2637aa9.jpg")
      img = Image.open(img_f)
      img = img.convert("RGB")
  
      tta_index = 7
      trans1 = TTATransform(tta_index)
      img = trans1(img)
      # img.show()
  
      img_np = np.array(img)
      img_np = np.expand_dims(img_np, 0)
      print(img_np.shape)
      img_np = tta_back_mask_np(img_np, tta_index)
      img_np = np.reshape(img_np, (768, 768, 3))
      img_back = F.to_pil_image(img_np)
      img_back.show()
  
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 5 for calling a global function with example usage: test_tta() without return types