code: def _vqa_file_split(self, file):
      img_id = int(file.split(".")[0].split("_")[-1])
      filepath = os.path.join(self.inputdir, file)
      return (img_id, filepath)
  
file_path: transformers/examples/research_projects/visual_bert/extracting_data.py
imports: import getopt
  import json
  import os
  import sys
  from collections import OrderedDict
  import datasets
  import numpy
  import torch
  from modeling_frcnn import GeneralizedRCNN
  from processing_image import Preprocess
  from utils import Config
label_desc: Use image node_id 2 for calling the Extract obj's underlying member method code with example usage: obj._vqa_file_split(file) and returns: img_id,  filepath