class_docstr: Describes backbone information and provides utility functions.
      
class_docstr_tok: ["Describes","backbone","information","and","provides","utility","functions","."]
code: def __init__(self, backbone):
      super(SeBackbone, self).__init__(backbone)
      _, self.preprocess_image_func = Classifiers.get(self.backbone)
  
file_path: ImageAI/imageai_tf_deprecated/Detection/keras_retinanet/models/senet.py
imports: from tensorflow import keras
  from .None import retinanet
  from .None import Backbone
  from classification_models.keras import Classifiers
label_desc: Use image node_id 1 to create a new SeBackbone object from inherited base classes: Backbone with example: obj = SeBackbone(backbone)