code: def filenames(self, indices=[], basename=False):
      if indices:
          if basename:
              return [
                  os.path.basename(self.imgs[i][0]) for i in indices
              ]
          else:
              return [self.imgs[i][0] for i in indices]
      else:
          if basename:
              return [os.path.basename(x[0]) for x in self.imgs]
          else:
              return [x[0] for x in self.imgs]
  
file_path: gen-efficientnet-pytorch/data/dataset.py
imports: import torch.utils.data
  import os
  import re
  import torch
  from PIL import Image
label_desc: Use image node_id 4 for calling the Dataset obj's underlying member method code with example usage: obj.filenames(indices, basename) and returns: unknown, unknown, unknown, unknown