class_docstr: EfficientDet keras network with train and test step.
code: def _unpack_outputs(self, cls_out_list, box_out_list):
      config = self.config
      min_level = config.min_level
      max_level = config.max_level
      cls_outputs, box_outputs = {}, {}
  
      for i in range(min_level, max_level + 1):
          cls_outputs[i] = cls_out_list[i - min_level]
          box_outputs[i] = box_out_list[i - min_level]
  
      return cls_outputs, box_outputs
  
imports: import functools
  from absl import logging
  import tensorflow
  import hparams_config
  import utils
  from .backbone import efficientnet_builder
  from .utils import postprocess
  from .utils import layers
  from .utils import losses
  import re
label_desc: Use image node_id 5 for calling the EfficientDetNet obj's underlying member method code with example usage: obj._unpack_outputs(cls_out_list, box_out_list) and returns: cls_outputs,  box_outputs