code: def preprocess_sample_info(self, sample_info):
      image_path = sample_info["img"]
      # img/02345.png -> 02345
      feature_path = image_path.split("/")[-1].split(".")[0]
      # Add feature_path key for feature_database access
      sample_info["feature_path"] = f"{feature_path}.npy"
      return sample_info
  
imports: import copy
  import os
  import numpy
  import omegaconf
  import torch
  from mmf.common.sample import Sample
  from mmf.datasets.mmf_dataset import MMFDataset
  from mmf.utils.general import get_mmf_root
  from mmf.utils.visualize import visualize_images
  from PIL import Image
  from torchvision import transforms
label_desc: Use image node_id 2 for calling the HatefulMemesFeaturesDataset obj's underlying member method code with example usage: obj.preprocess_sample_info(sample_info) and returns: sample_info