class_docstr: Describes backbone information and provides utility functions.
      
class_docstr_tok: ["Describes","backbone","information","and","provides","utility","functions","."]
docstr: Returns a retinanet model using the correct backbone.
          
docstr_tok: ["Returns","a","retinanet","model","using","the","correct","backbone","."]
code: def retinanet(self, *args, **kwargs):
      """Returns a retinanet model using the correct backbone."""
      return densenet_retinanet(*args, backbone=self.backbone, **kwargs)
  
file_path: ImageAI/imageai_tf_deprecated/Detection/keras_retinanet/models/densenet.py
imports: from tensorflow import keras
  from .None import retinanet
  from .None import Backbone
  from ..utils.image import preprocess_image
label_desc: Use image node_id 1 for calling the DenseNetBackbone obj's underlying member method code with example usage: obj.retinanet() and returns: densenet_retinanet