code: def yoloBboxConvBlock(self, filters):
      def feed(x):
          x = self.darknetConv(filters, 3)(x)
          x = self.darknetConv(
              3 * (self.classes_num + 5),
              1,
              activate=False,
              batch_norm=False,
          )(x)
  
          return x
  
      return feed
  
imports: import tensorflow
  import numpy
  from layers import Mish, ScaledRandomUniform
  import utils
label_desc: Use image node_id 13 for calling the YOLOv4Model obj's underlying member method code with example usage: obj.yoloBboxConvBlock(filters) and returns: feed, x