code: def default_feature_extractor(self):
      return (
          ConditionalDetrFeatureExtractor.from_pretrained(
              "microsoft/conditional-detr-resnet-50"
          )
          if is_vision_available()
          else None
      )
  
imports: import inspect
  import math
  import unittest
  from transformers import ConditionalDetrConfig, is_timm_available, is_vision_available
  from transformers.testing_utils import require_timm, require_vision, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor
label_desc: Use image node_id 1 for calling the ConditionalDetrModelIntegrationTests obj's underlying member method code with example usage: obj.default_feature_extractor() and returns: unknown