code: def get_test_pipeline(self, model, tokenizer, feature_extractor):
      object_detector = ObjectDetectionPipeline(
          model=model, feature_extractor=feature_extractor
      )
      return object_detector, [
          "./tests/fixtures/tests_samples/COCO/000000039769.png"
      ]
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/pipelines/test_pipelines_object_detection.py
imports: import unittest
  from transformers import MODEL_FOR_OBJECT_DETECTION_MAPPING, AutoFeatureExtractor, AutoModelForObjectDetection, ObjectDetectionPipeline, is_vision_available, pipeline
  from transformers.testing_utils import nested_simplify, require_tf, require_timm, require_torch, require_vision, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 1 for calling the ObjectDetectionPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, feature_extractor) and returns: object_detector,  list