code: def __init__(
      self,
      n,
      dataset,
      size,
      cache_path,
      cache,
      iters=1000,
      verbose=True,
  ):
      super(YOLOv2AnchorCluster, self).__init__(
          n, cache_path, cache, verbose=verbose
      )
      """
          YOLOv2 Anchor Cluster
  
          The code is based on https://github.com/AlexeyAB/darknet/blob/master/scripts/gen_anchors.py
  
          Args:
              n (int): number of clusters
              dataset (DataSet): DataSet instance, VOC or COCO
              size (list): [w, h]
              cache_path (str): cache directory path
              cache (bool): whether using cache
              iters (int): kmeans algorithm iters
              verbose (bool): whether print results
          """
      self.dataset = dataset
      self.size = size
      self.iters = iters
  
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 to create a new YOLOv2AnchorCluster object from inherited base classes: BaseAnchorCluster with example: obj = YOLOv2AnchorCluster(n, dataset, size, cache_path, cache, iters, verbose)