code: def __getitem__(self, idx):
      image_path = self.image_paths[idx]
      image = Image.open(image_path).convert("RGB")
      if self.transform is not None:
          image = self.transform(image)
      return image
  
imports: import glob
  import os
  import torch
  from omegaconf.omegaconf import OmegaConf, open_dict
  from PIL import Image
  from pytorch_lightning import Trainer
  from pytorch_lightning.plugins.environments import TorchElasticEnvironment
  from torch.utils.data import DataLoader, Dataset
  from nemo.collections.nlp.parts.nlp_overrides import NLPDDPStrategy, NLPSaveRestoreConnector
  from nemo.collections.nlp.parts.utils_funcs import torch_dtype_from_precision
  from nemo.collections.vision.data.imagenet_classnames import imagenet_classnames
  from nemo.collections.vision.data.megatron.vit_dataset import ClassificationTransform
  from nemo.collections.vision.models.megatron_vit_classification_models import MegatronVitClassificationModel
  from nemo.core.config import hydra_runner
  from nemo.utils import logging
  from nemo.utils.get_rank import is_global_rank_zero
label_desc: Use image node_id 3 for calling the ImageFolderDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: image