code: def __call__(self, img, target):
      return self.transforms(img, target)
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/unet/train_multi_GPU.py
imports: import time
  import os
  import datetime
  import torch
  from src import UNet
  from train_utils import train_one_epoch, evaluate, create_lr_scheduler, init_distributed_mode, save_on_master, mkdir
  from my_dataset import DriveDataset
  import transforms
label_desc: Use image node_id 2 for calling the SegmentationPresetTrain obj's underlying member method code with example usage: obj.__call__(img, target) and returns: self