code: def __init__(
      self,
      base_size,
      mean=(0.485, 0.456, 0.406),
      std=(0.229, 0.224, 0.225),
  ):
      self.transforms = T.Compose(
          [
              T.RandomResize(base_size, base_size),
              T.ToTensor(),
              T.Normalize(mean=mean, std=std),
          ]
      )
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/fcn/validation.py
imports: import os
  import torch
  from src import fcn_resnet50
  from train_utils import evaluate
  from my_dataset import VOCSegmentation
  import transforms
label_desc: Use image node_id 1 to create a new SegmentationPresetEval object  with example: obj = SegmentationPresetEval(base_size, mean, std)