code: def create_model(num_classes):
      model = UNet(in_channels=3, num_classes=num_classes, base_c=32)
      return model
  
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 2 for calling a global function with example usage: create_model(num_classes) and returns: model