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- # Copyright (c) Alibaba, Inc. and its affiliates.
-
- import unittest
-
- import numpy as np
-
- from modelscope.models import Model
- from modelscope.pipelines import pipeline
- from modelscope.utils.constant import Tasks
- from modelscope.utils.logger import get_logger
- from modelscope.utils.test_utils import test_level
-
- logger = get_logger()
-
-
- class VideoMultiModalEmbeddingTest(unittest.TestCase):
-
- model_id = 'damo/multi_modal_clip_vtretrival_msrvtt_53'
- video_path = 'data/test/videos/multi_modal_test_video_9770.mp4'
- caption = ('a person is connecting something to system', None, None)
- _input = {'video': video_path, 'text': caption}
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_run(self):
- pipeline_video_multi_modal_embedding = pipeline(
- Tasks.video_multi_modal_embedding, model=self.model_id)
- output = pipeline_video_multi_modal_embedding(self._input)
- logger.info('text feature: {}'.format(
- output['text_embedding'][0][0][0]))
- logger.info('video feature: {}'.format(
- output['video_embedding'][0][0][0]))
-
- @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
- def test_run_with_default_model(self):
- pipeline_video_multi_modal_embedding = pipeline(
- task=Tasks.video_multi_modal_embedding)
- output = pipeline_video_multi_modal_embedding(self._input)
- logger.info('text feature: {}'.format(
- output['text_embedding'][0][0][0]))
- logger.info('video feature: {}'.format(
- output['video_embedding'][0][0][0]))
-
-
- if __name__ == '__main__':
- unittest.main()
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