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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9662182 * clean up test level
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.logger import get_logger
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from modelscope.utils.test_utils import test_level
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logger = get_logger()
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class VideoMultiModalEmbeddingTest(unittest.TestCase):
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model_id = 'damo/multi_modal_clip_vtretrival_msrvtt_53'
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video_path = 'data/test/videos/multi_modal_test_video_9770.mp4'
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caption = ('a person is connecting something to system', None, None)
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_input = {'video': video_path, 'text': caption}
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run(self):
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pipeline_video_multi_modal_embedding = pipeline(
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Tasks.video_multi_modal_embedding, model=self.model_id)
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output = pipeline_video_multi_modal_embedding(self._input)
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logger.info('text feature: {}'.format(
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output['text_embedding'][0][0][0]))
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logger.info('video feature: {}'.format(
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output['video_embedding'][0][0][0]))
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_default_model(self):
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pipeline_video_multi_modal_embedding = pipeline(
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task=Tasks.video_multi_modal_embedding)
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output = pipeline_video_multi_modal_embedding(self._input)
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logger.info('text feature: {}'.format(
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output['text_embedding'][0][0][0]))
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logger.info('video feature: {}'.format(
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output['video_embedding'][0][0][0]))
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if __name__ == '__main__':
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unittest.main()
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