code: def image_processor(name, args: Optional[dict] = None):
      return {
          "name": name,
          "modes": ["prediction", "training", "evaluation"],
          "args": args,
      }
  
imports: import inspect
  import os
  from typing import Optional
  import logging
  import h5py
  from tensorflow import keras
  from tensorflow.python.keras.saving.hdf5_format import load_weights_from_hdf5_group
  from tfaip.util.tfaipargparse import post_init
  from calamari_ocr.ocr.savedmodel.migrations.version3_4to5 import migrate3to5
  from calamari_ocr.ocr.scenario import CalamariScenario
  from calamari_ocr.ocr.training.params import TrainerParams
label_desc: Use image node_id 3 for calling a global function with example usage: image_processor(name, args) and returns: dict