code: def default_image_processor(self):
      return (
          Mask2FormerImageProcessor.from_pretrained(
              self.model_checkpoints
          )
          if is_vision_available()
          else None
      )
  
imports: import unittest
  import numpy
  from tests.test_modeling_common import floats_tensor
  from transformers import Mask2FormerConfig, is_torch_available, is_vision_available
  from transformers.testing_utils import require_torch, require_torch_accelerator, require_torch_fp16, require_torch_multi_gpu, require_vision, slow, torch_device
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the Mask2FormerModelIntegrationTest obj's underlying member method code with example usage: obj.default_image_processor() and returns: unknown