code: def test_empty_detection_outputs(self):
      # Creates pose landmarker.
      base_options = _BaseOptions(model_asset_path=self.model_path)
      options = _PoseLandmarkerOptions(base_options=base_options)
      with _PoseLandmarker.create_from_options(options) as landmarker:
          # Load an image with no poses.
          test_image = _Image.create_from_file(
              test_utils.get_test_data_path(_BURGER_IMAGE)
          )
          # Performs pose landmarks detection on the input.
          detection_result = landmarker.detect(test_image)
          # Comparing results.
          self.assertEmpty(detection_result.pose_landmarks)
          self.assertEmpty(detection_result.pose_world_landmarks)
  
imports: import enum
  from typing import List
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from google.protobuf import text_format
  from mediapipe.python._framework_bindings import image
  from mediapipe.tasks.cc.components.containers.proto import landmarks_detection_result_pb2
  from mediapipe.tasks.python.components.containers import landmark
  from mediapipe.tasks.python.components.containers import landmark_detection_result
  from mediapipe.tasks.python.components.containers import rect
  from mediapipe.tasks.python.core import base_options
  from mediapipe.tasks.python.test import test_utils
  from mediapipe.tasks.python.vision import pose_landmarker
  from mediapipe.tasks.python.vision.core import image_processing_options
  from mediapipe.tasks.python.vision.core import vision_task_running_mode
label_desc: Use image node_id 11 for calling the PoseLandmarkerTest obj's underlying member method code with example usage: obj.test_empty_detection_outputs() without return types