code: def parse_anchor_parameters(config):
      ratios = np.array(
          list(
              map(
                  float,
                  config["anchor_parameters"]["ratios"].split(" "),
              )
          ),
          keras.backend.floatx(),
      )
      scales = np.array(
          list(
              map(
                  float,
                  config["anchor_parameters"]["scales"].split(" "),
              )
          ),
          keras.backend.floatx(),
      )
      sizes = list(
          map(int, config["anchor_parameters"]["sizes"].split(" "))
      )
      strides = list(
          map(int, config["anchor_parameters"]["strides"].split(" "))
      )
      assert len(sizes) == len(
          strides
      ), "sizes and strides should have an equal number of values"
  
      return AnchorParameters(sizes, strides, ratios, scales)
  
imports: import configparser
  import numpy
  from tensorflow import keras
  from ..utils.anchors import AnchorParameters
label_desc: Use image node_id 2 for calling a global function with example usage: parse_anchor_parameters(config) and returns: AnchorParameters