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/fcn/train.py
imports: import os
  import time
  import datetime
  import torch
  from src import fcn_resnet50
  from train_utils import train_one_epoch, evaluate, create_lr_scheduler
  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