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test_crowd_counting.py 2.0 kB

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  1. # Copyright (c) Alibaba, Inc. and its affiliates.
  2. import unittest
  3. import cv2
  4. from PIL import Image
  5. from modelscope.outputs import OutputKeys
  6. from modelscope.pipelines import pipeline
  7. from modelscope.utils.constant import Tasks
  8. from modelscope.utils.cv.image_utils import numpy_to_cv2img
  9. from modelscope.utils.logger import get_logger
  10. from modelscope.utils.test_utils import test_level
  11. logger = get_logger()
  12. class CrowdCountingTest(unittest.TestCase):
  13. def setUp(self) -> None:
  14. self.input_location = 'data/test/images/crowd_counting.jpg'
  15. self.model_id = 'damo/cv_hrnet_crowd-counting_dcanet'
  16. def save_result(self, result):
  17. print('scores:', result[OutputKeys.SCORES])
  18. vis_img = result[OutputKeys.OUTPUT_IMG]
  19. vis_img = numpy_to_cv2img(vis_img)
  20. cv2.imwrite('result.jpg', vis_img)
  21. @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
  22. def test_crowd_counting(self):
  23. crowd_counting = pipeline(Tasks.crowd_counting, model=self.model_id)
  24. result = crowd_counting(self.input_location)
  25. if result:
  26. self.save_result(result)
  27. else:
  28. raise ValueError('process error')
  29. @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
  30. def test_crowd_counting_with_image(self):
  31. crowd_counting = pipeline(Tasks.crowd_counting, model=self.model_id)
  32. img = Image.open(self.input_location)
  33. result = crowd_counting(img)
  34. if result:
  35. self.save_result(result)
  36. else:
  37. raise ValueError('process error')
  38. @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
  39. def test_crowd_counting_with_default_task(self):
  40. crowd_counting = pipeline(Tasks.crowd_counting)
  41. result = crowd_counting(self.input_location)
  42. if result:
  43. self.save_result(result)
  44. else:
  45. raise ValueError('process error')
  46. if __name__ == '__main__':
  47. unittest.main()