code: def _initObjectDetectionArgs(self):
      # Initializes the arguments required for the object detection model.
      # Looks for the model file which is saved in a different location internally
      # and externally.
      filename = resource_loader.get_path_to_datafile(
          "testdata/tflite_graph.pb"
      )
      if not os.path.exists(filename):
          filename = os.path.join(
              resource_loader.get_root_dir_with_all_resources(),
              "../tflite_mobilenet_ssd_quant_protobuf/tflite_graph.pb",
          )
          if not os.path.exists(filename):
              raise IOError(
                  "File '{0}' does not exist.".format(filename)
              )
  
      self._graph_def_file = filename
      self._input_arrays = "normalized_input_image_tensor"
      self._output_arrays = (
          "TFLite_Detection_PostProcess,TFLite_Detection_PostProcess:1,"
          "TFLite_Detection_PostProcess:2,TFLite_Detection_PostProcess:3"
      )
      self._input_shapes = "1,300,300,3"
  
imports: import os
  from absl.testing import parameterized
  import numpy
  from tensorflow import keras
  from tensorflow.core.framework import graph_pb2
  from tensorflow.lite.python import test_util
  from tensorflow.lite.python import tflite_convert
  from tensorflow.lite.python.convert import register_custom_opdefs
  from tensorflow.python import tf2
  from tensorflow.python.client import session
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.importer import import_graph_def
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
  from tensorflow.python.saved_model import saved_model
  from tensorflow.python.saved_model.save import save
  from tensorflow.python.trackable import autotrackable
  from tensorflow.python.training.training_util import write_graph
label_desc: Use image node_id 17 for calling the TfLiteConvertV1Test obj's underlying member method code with example usage: obj._initObjectDetectionArgs() without return types