code: def __init__(self, img_size=256):
      self.img_size = img_size
      self.albumentations_pipeline: albu.Compose or None = None
      self.solt_pipeline: solt.Stream or None = None
      self.torchvision_pipeline: tv_transforms.Compose or None = None
      self.augmentor_pipeline: tv_transforms.Compose or None = None
      self.probablity = 0.5
  
imports: import cv2
  import Augmentor
  import albumentations
  from albumentations.pytorch import ToTensor
  import solt
  import solt.transforms
  from torchvision import transforms
label_desc: Use image node_id 1 to create a new BenchmarkTest object  with example: obj = BenchmarkTest(img_size)