code: def _load(self, image_feat_path):
      image_info = {}
      image_info["features"] = load_feat(image_feat_path)
  
      info_path = "{}_info.npy".format(image_feat_path.split(".npy")[0])
      if PathManager.exists(info_path):
          image_info.update(load_feat(info_path).item())
  
      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 2 for calling the PaddedFasterRCNNFeatureReader obj's underlying member method code with example usage: obj._load(image_feat_path) and returns: image_info