code: def convert_bytearray_to_object(model_bytearray):
      """Converts a tflite model from a bytearray to an object for parsing."""
      model_object = schema_fb.Model.GetRootAsModel(model_bytearray, 0)
      return schema_fb.ModelT.InitFromObj(model_object)
  
imports: import copy
  import random
  import re
  import struct
  import sys
  import flatbuffers
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 1 for calling a global function with example usage: convert_bytearray_to_object(model_bytearray) and returns: schema_fb