code: def test_threshold(self):
      threshold = 0.2
      object_detector = pipeline("zero-shot-object-detection")
  
      outputs = object_detector(
          "http://images.cocodataset.org/val2017/000000039769.jpg",
          candidate_labels=["cat", "remote", "couch"],
          threshold=threshold,
      )
      self.assertEqual(
          nested_simplify(outputs, decimals=4),
          [
              {
                  "score": 0.2868,
                  "label": "cat",
                  "box": {
                      "xmin": 324,
                      "ymin": 20,
                      "xmax": 640,
                      "ymax": 373,
                  },
              },
              {
                  "score": 0.277,
                  "label": "remote",
                  "box": {
                      "xmin": 40,
                      "ymin": 72,
                      "xmax": 177,
                      "ymax": 115,
                  },
              },
              {
                  "score": 0.2537,
                  "label": "cat",
                  "box": {
                      "xmin": 1,
                      "ymin": 55,
                      "xmax": 315,
                      "ymax": 472,
                  },
              },
          ],
      )
  
file_path: transformers/tests/pipelines/test_pipelines_zero_shot_object_detection.py
imports: import unittest
  from transformers import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING, is_vision_available, pipeline
  from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, require_vision, slow
  from .test_pipelines_common import ANY
label_desc: Use image node_id 7 for calling the ZeroShotObjectDetectionPipelineTests obj's underlying member method code with example usage: obj.test_threshold() without return types