code: def __getitem__(self, item):
      targets = self.targets[item]
      image = self.images[item]
      image = np.expand_dims(image, axis=0)
  
      return {
          "image": torch.tensor(image, dtype=torch.float),
          "targets": torch.tensor(targets, dtype=torch.long),
      }
  
imports: import argparse
  import os
  import albumentations
  import numpy
  import pandas
  import timm
  import torch
  import torch.nn
  from sklearn import metrics, model_selection
  from tez import Tez, TezConfig
  from tez.callbacks import EarlyStopping
  from tez.utils import seed_everything
label_desc: Use image node_id 3 for calling the DigitRecognizerDataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: dict