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 preprocess_image(inputs, mode="tf")
  
file_path: ImageAI/imageai_tf_deprecated/Detection/keras_retinanet/models/mobilenet.py
imports: from tensorflow import keras
  from ..utils.image import preprocess_image
  from .None import retinanet
  from .None import Backbone
label_desc: Use image node_id 4 for calling the MobileNetBackbone obj's underlying member method code with example usage: obj.preprocess_image(inputs) and returns: preprocess_image