code: def __call__(self, img, target):
      return self.transforms(img, target)
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/u2net/validation.py
imports: import os
  from typing import Union, List
  import torch
  from torch.utils import data
  from src import u2net_full
  from train_utils import evaluate
  from my_dataset import DUTSDataset
  import transforms
label_desc: Use image node_id 2 for calling the SODPresetEval obj's underlying member method code with example usage: obj.__call__(img, target) and returns: self