class_docstr: Box regression network.
docstr: Call boxnet.
docstr_tok: ["Call","boxnet","."]
code: def call(self, inputs, training):
      """Call boxnet."""
      box_outputs = []
      for level_id in range(0, self.max_level - self.min_level + 1):
          image = inputs[level_id]
          for i in range(self.repeats):
              image = self._conv_bn_act(image, i, level_id, training)
          box_outputs.append(self.boxes(image))
  
      return box_outputs
  
imports: import functools
  from absl import logging
  import numpy
  import tensorflow
  import utils
  from .None import fpn_configs
label_desc: Use image node_id 3 for calling the BoxNet obj's underlying member method code with example usage: obj.call(inputs, training) and returns: box_outputs