class_docstr: This class stores additional information on backbones.
      
code: def __init__(self, backbone):
      # a dictionary mapping custom layer names to the correct classes
      from .. import layers
      from .. import losses
      from .. import initializers
  
      self.custom_objects = {
          "UpsampleLike": layers.UpsampleLike,
          "PriorProbability": initializers.PriorProbability,
          "RegressBoxes": layers.RegressBoxes,
          "FilterDetections": layers.FilterDetections,
          "Anchors": layers.Anchors,
          "ClipBoxes": layers.ClipBoxes,
          "_smooth_l1": losses.smooth_l1(),
          "_focal": losses.focal(),
      }
  
      self.backbone = backbone
      self.validate()
  
file_path: ImageAI/imageai_tf_deprecated/Detection/keras_retinanet/models/__init__.py
imports: from __future__ import print_function
  import sys
label_desc: Use image node_id 1 to create a new Backbone object from inherited base classes: object with example: obj = Backbone(backbone)