code: def __call__(self, image, target):
      image = pad_if_smaller(image, self.size)
      target = pad_if_smaller(target, self.size, fill=255)
      crop_params = T.RandomCrop.get_params(
          image, (self.size, self.size)
      )
      image = F.crop(image, *crop_params)
      target = F.crop(target, *crop_params)
      return image, target
  
imports: import numpy
  import random
  import torch
  from torchvision import transforms
  from torchvision.transforms import functional
label_desc: Use image node_id 2 for calling the RandomCrop obj's underlying member method code with example usage: obj.__call__(image, target) and returns: image,  target