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test_video_multi_modal_embedding.py 1.6 kB

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  1. # Copyright (c) Alibaba, Inc. and its affiliates.
  2. import unittest
  3. from modelscope.pipelines import pipeline
  4. from modelscope.utils.constant import Tasks
  5. from modelscope.utils.logger import get_logger
  6. from modelscope.utils.test_utils import test_level
  7. logger = get_logger()
  8. class VideoMultiModalEmbeddingTest(unittest.TestCase):
  9. model_id = 'damo/multi_modal_clip_vtretrival_msrvtt_53'
  10. video_path = 'data/test/videos/multi_modal_test_video_9770.mp4'
  11. caption = ('a person is connecting something to system', None, None)
  12. _input = {'video': video_path, 'text': caption}
  13. @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
  14. def test_run(self):
  15. pipeline_video_multi_modal_embedding = pipeline(
  16. Tasks.video_multi_modal_embedding, model=self.model_id)
  17. output = pipeline_video_multi_modal_embedding(self._input)
  18. logger.info('text feature: {}'.format(
  19. output['text_embedding'][0][0][0]))
  20. logger.info('video feature: {}'.format(
  21. output['video_embedding'][0][0][0]))
  22. @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
  23. def test_run_with_default_model(self):
  24. pipeline_video_multi_modal_embedding = pipeline(
  25. task=Tasks.video_multi_modal_embedding)
  26. output = pipeline_video_multi_modal_embedding(self._input)
  27. logger.info('text feature: {}'.format(
  28. output['text_embedding'][0][0][0]))
  29. logger.info('video feature: {}'.format(
  30. output['video_embedding'][0][0][0]))
  31. if __name__ == '__main__':
  32. unittest.main()