code: def get_transform(train):
      base_size = 520
      crop_size = 480
  
      return (
          SegmentationPresetTrain(base_size, crop_size)
          if train
          else SegmentationPresetEval(base_size)
      )
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/lraspp/train_multi_GPU.py
imports: import time
  import os
  import datetime
  import torch
  from src import lraspp_mobilenetv3_large
  from train_utils import train_one_epoch, evaluate, create_lr_scheduler, init_distributed_mode, save_on_master, mkdir
  from my_dataset import VOCSegmentation
  import transforms
label_desc: Use image node_id 1 for calling a global function with example usage: get_transform(train) and returns: unknown