code: def get_frames_from_segment(self, vid_id, seg_num, num_frames):
      vid_dict = self.vids_dict[vid_id]
      seg = vid_dict["segments"][seg_num]
      start_frame = seg["start_frame"]
      seg_len = seg["num_frames"]
      indices = coot_utils.compute_indices(
          seg_len, num_frames, self.is_train
      )
      indices += start_frame
      frames = self.get_frames_from_video(vid_id, indices)
      return frames
  
imports: import json
  from collections import OrderedDict
  from pathlib import Path
  from typing import List
  import re
  import numpy
  import torch
  import torch.utils.data
  from tqdm import tqdm
  from gluoncv.torch.utils import coot_utils
label_desc: Use image node_id 5 for calling the VideoDatasetFeatures obj's underlying member method code with example usage: obj.get_frames_from_segment(vid_id, seg_num, num_frames) and returns: frames