code: def load_odgt(filename):
      with open(filename, "r") as f:
          lines = f.readlines()
      data_infos = [json.loads(line.strip("\n")) for line in lines]
      return data_infos
  
file_path: mmdetection/tools/dataset_converters/crowdhuman2coco.py
imports: import argparse
  import json
  import os
  import os.path
  from collections import defaultdict
  import mmengine
  from PIL import Image
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: load_odgt(filename) and returns: data_infos