code: def __init__(
      self, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)
  ):
      self.transforms = T.Compose(
          [
              T.ToTensor(),
              T.Normalize(mean=mean, std=std),
          ]
      )
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/unet/train.py
imports: import os
  import time
  import datetime
  import torch
  from src import UNet
  from train_utils import train_one_epoch, evaluate, create_lr_scheduler
  from my_dataset import DriveDataset
  import transforms
label_desc: Use image node_id 1 to create a new SegmentationPresetEval object  with example: obj = SegmentationPresetEval(mean, std)