code: def test_PaddleDetectionModel(is_large_scale=False):
      """test PaddleDetection model"""
      if is_large_scale:
          for config in ALL_PADDLEDETECTION_MODEL_CONFIGS:
              model = PaddleDetectionLayoutModel(config)
  
              image = cv2.imread(
                  "tests/fixtures/model/test_model_image.jpg"
              )
              layout = model.detect(image)
      else:
          _single_config_test_pipeline(
              PaddleDetectionLayoutModel,
              ALL_PADDLEDETECTION_MODEL_CONFIGS[0],
          )
  
file_path: layout-parser/tests/test_model.py
imports: import pytest
  import cv2
  from layoutparser import load_json
  from layoutparser.models import *
label_desc: Use image node_id 6 for calling a global function with example usage: test_PaddleDetectionModel(is_large_scale) without return types