class_docstr: Describes backbone information and provides utility functions.
      
class_docstr_tok: ["Describes","backbone","information","and","provides","utility","functions","."]
docstr: Takes as input an image and prepares it for being passed through the network.
          
docstr_tok: ["Takes","as","input","an","image","and","prepares","it","for","being","passed","through","the","network","."]
code: def preprocess_image(self, inputs):
      """Takes as input an image and prepares it for being passed through the network."""
      return self.preprocess_image_func(inputs)
  
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 5 for calling the SeBackbone obj's underlying member method code with example usage: obj.preprocess_image(inputs) and returns: self