code: def default_image_processor(self):
      return (
          AutoImageProcessor.from_pretrained(
              TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST[0]
          )
          if is_vision_available()
          else None
      )
  
imports: from __future__ import annotations
  import inspect
  import unittest
  import numpy
  from transformers import ResNetConfig
  from transformers.testing_utils import require_tf, require_vision, slow
  from transformers.utils import cached_property, is_tf_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the TFResNetModelIntegrationTest obj's underlying member method code with example usage: obj.default_image_processor() and returns: unknown