code: def main():
      args = parse_args()
  
      check_file_exist(args.prediction_path)
  
      cfg = Config.fromfile(args.config)
  
      # replace the ${key} with the value of cfg.key
      cfg = replace_cfg_vals(cfg)
  
      # update data root according to MMDET_DATASETS
      update_data_root(cfg)
  
      if args.cfg_options is not None:
          cfg.merge_from_dict(args.cfg_options)
      init_default_scope(cfg.get("default_scope", "mmdet"))
  
      cfg.test_dataloader.dataset.test_mode = True
  
      cfg.test_dataloader.pop("batch_size", 0)
      if cfg.train_dataloader.dataset.type in (
          "MultiImageMixDataset",
          "ClassBalancedDataset",
          "RepeatDataset",
      ):
          cfg.test_dataloader.dataset.pipeline = get_loading_pipeline(
              cfg.train_dataloader.dataset.dataset.pipeline
          )
      elif cfg.train_dataloader.dataset.type in ("ConcatDataset",):
          cfg.test_dataloader.dataset.pipeline = get_loading_pipeline(
              cfg.train_dataloader.dataset.datasets[0].pipeline
          )
      else:
          cfg.test_dataloader.dataset.pipeline = get_loading_pipeline(
              cfg.train_dataloader.dataset.pipeline
          )
      dataset = DATASETS.build(cfg.test_dataloader.dataset)
      outputs = load(args.prediction_path)
  
      cfg.work_dir = args.show_dir
      # build the runner from config
      if "runner_type" not in cfg:
          # build the default runner
          runner = Runner.from_cfg(cfg)
      else:
          # build customized runner from the registry
          # if 'runner_type' is set in the cfg
          runner = RUNNERS.build(cfg)
  
      result_visualizer = ResultVisualizer(
          args.show, args.wait_time, args.show_score_thr, runner
      )
      result_visualizer.evaluate_and_show(
          dataset, outputs, topk=args.topk, show_dir=args.show_dir
      )
  
imports: import argparse
  import os.path
  from multiprocessing import Pool
  import mmcv
  import numpy
  from mmengine.config import Config, DictAction
  from mmengine.fileio import load
  from mmengine.registry import init_default_scope
  from mmengine.runner import Runner
  from mmengine.structures import InstanceData, PixelData
  from mmengine.utils import ProgressBar, check_file_exist, mkdir_or_exist
  from mmdet.datasets import get_loading_pipeline
  from mmdet.evaluation import eval_map
  from mmdet.registry import DATASETS, RUNNERS
  from mmdet.structures import DetDataSample
  from mmdet.utils import replace_cfg_vals, update_data_root
  from mmdet.visualization import DetLocalVisualizer
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types