code: def YOLOHead(self):
      def feed(x):
          route_1, route_2, route = x
          x = route_2 = self.yoloUpsampleConvBlock(256)(route, route_2)
          x = route_1 = self.yoloUpsampleConvBlock(128)(x, route_1)
          small_bbox = self.yoloBboxConvBlock(256)(x)
          x = self.yoloDownsampleConvBlock(256)(route_1, route_2)
          medium_bbox = self.yoloBboxConvBlock(512)(x)
          x = self.yoloDownsampleConvBlock(512)(x, route)
          large_bbox = self.yoloBboxConvBlock(1024)(x)
  
          return small_bbox, medium_bbox, large_bbox
  
      return feed
  
imports: import tensorflow
  import numpy
  from layers import Mish, ScaledRandomUniform
  import utils
label_desc: Use image node_id 14 for calling the YOLOv4Model obj's underlying member method code with example usage: obj.YOLOHead() and returns: feed, small_bbox,  medium_bbox,  large_bbox