code: def read_segmentation(filename):
      assert os.path.isfile(filename)
      seg_to_verts = {}
      with open(filename) as f:
          data = json.load(f)
          num_verts = len(data["segIndices"])
          for i in range(num_verts):
              seg_id = data["segIndices"][i]
              if seg_id in seg_to_verts:
                  seg_to_verts[seg_id].append(i)
              else:
                  seg_to_verts[seg_id] = [i]
      return seg_to_verts, num_verts
  
imports: import os
  import os.path
  import shutil
  import json
  import torch
  from glob import glob
  import sys
  import csv
  import logging
  import numpy
  from plyfile import PlyData, PlyElement
  from torch_geometric.data import Data, InMemoryDataset, download_url, extract_zip
  import torch_geometric.transforms
  import multiprocessing
  import pandas
  import tempfile
  import urllib
  from urllib.request import urlopen
  from torch_points3d.datasets.base_dataset import BaseDataset
  import torch_points3d.core.data_transform
  from .None import IGNORE_LABEL
label_desc: Use image node_id 11 for calling a global function with example usage: read_segmentation(filename) and returns: seg_to_verts,  num_verts