code: def main():
      parser = ArgsParser()
      parser.add_argument(
          "--n", "-n", default=9, type=int, help="num of clusters"
      )
      parser.add_argument(
          "--iters",
          "-i",
          default=1000,
          type=int,
          help="num of iterations for kmeans",
      )
      parser.add_argument(
          "--verbose",
          "-v",
          default=True,
          type=bool,
          help="whether print result",
      )
      parser.add_argument(
          "--size",
          "-s",
          default=None,
          type=str,
          help="image size: w,h, using comma as delimiter",
      )
      parser.add_argument(
          "--method",
          "-m",
          default="v2",
          type=str,
          help="cluster method, v2 is only supported now",
      )
      parser.add_argument(
          "--cache_path", default="cache", type=str, help="cache path"
      )
      parser.add_argument(
          "--cache", action="store_true", help="whether use cache"
      )
      FLAGS = parser.parse_args()
  
      cfg = load_config(FLAGS.config)
      merge_config(FLAGS.opt)
      check_config(cfg)
      # check if set use_gpu=True in paddlepaddle cpu version
      if "use_gpu" not in cfg:
          cfg.use_gpu = False
      check_gpu(cfg.use_gpu)
      # check if paddlepaddle version is satisfied
      check_version("develop")
  
      # get dataset
      dataset = cfg["TrainDataset"]
      if FLAGS.size:
          if "," in FLAGS.size:
              size = list(map(int, FLAGS.size.split(",")))
              assert len(size) == 2, "the format of size is incorrect"
          else:
              size = int(FLAGS.size)
              size = [size, size]
      elif (
          "inputs_def" in cfg["TestReader"]
          and "image_shape" in cfg["TestReader"]["inputs_def"]
      ):
          size = cfg["TestReader"]["inputs_def"]["image_shape"][1:]
      else:
          raise ValueError("size is not specified")
  
      if FLAGS.method == "v2":
          cluster = YOLOv2AnchorCluster(
              FLAGS.n,
              dataset,
              size,
              FLAGS.cache_path,
              FLAGS.cache,
              FLAGS.iters,
              FLAGS.verbose,
          )
      else:
          raise ValueError(
              "cluster method: %s is not supported" % FLAGS.method
          )
  
      anchors = cluster()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  from ppdet.utils.logger import setup_logger
  from scipy.cluster.vq import kmeans
  import numpy
  from tqdm import tqdm
  from ppdet.utils.cli import ArgsParser
  from ppdet.utils.check import check_gpu, check_version, check_config
  from ppdet.core.workspace import load_config, merge_config
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types