code: def _load(self, image_file_path):
      if self.env is None:
          self._init_db()
  
      split = os.path.relpath(image_file_path, self.db_path).split(
          ".npy"
      )[0]
  
      try:
          image_id = int(split.split("_")[-1])
          # Try fetching to see if it actually exists otherwise fall back to
          # default
          img_id_idx = self.image_id_indices[str(image_id).encode()]
      except (ValueError, KeyError):
          # The image id is complex or involves folder, use it directly
          image_id = str(split).encode()
          img_id_idx = self.image_id_indices[image_id]
  
      with self.env.begin(write=False, buffers=True) as txn:
          image_info = pickle.loads(txn.get(self.image_ids[img_id_idx]))
  
      return image_info
  
imports: import math
  import os
  import pickle
  from typing import Any
  import lmdb
  import numpy
  import torch
  from mmf.utils.file_io import PathManager
label_desc: Use image node_id 3 for calling the LMDBFeatureReader obj's underlying member method code with example usage: obj._load(image_file_path) and returns: image_info