class_docstr: EfficientDet keras network with train and test step.
code: def metrics(self):
      return list(self.train_metrics) + [self.mAP_tracker]
  
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 10 for calling the EfficientDetNet obj's underlying member method code with example usage: obj.metrics() and returns: unknown