code: def get_preprocessing(name):
      preprocess_input = Backbones.get_preprocessing(name)
      # add bakcend, models, layers, utils submodules in kwargs
      preprocess_input = inject_global_submodules(preprocess_input)
      # delete other kwargs
      # keras-applications preprocessing raise an error if something
      # except `backend`, `layers`, `models`, `utils` passed in kwargs
      preprocess_input = filter_kwargs(preprocess_input)
      return preprocess_input
  
file_path: segmentation_models/segmentation_models/__init__.py
imports: import os
  import functools
  from .__version__ import __version__
  from .None import base
  from .None import losses
  from .None import metrics
  from .None import utils
  from .backbones.backbones_factory import Backbones
  from .models.unet import Unet
  from .models.pspnet import PSPNet
  from .models.linknet import Linknet
  from .models.fpn import FPN
label_desc: Use image node_id 6 for calling a global function with example usage: get_preprocessing(name) and returns: preprocess_input