2022-12-28 06:18:50 +08:00
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from modelscope.hub.snapshot_download import snapshot_download
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from modelscope.models import Model
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.cv import VideoSuperResolutionPipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.test_utils import test_level
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2023-05-22 10:53:18 +08:00
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class VideoSuperResolutionTest(unittest.TestCase):
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2022-12-28 06:18:50 +08:00
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def setUp(self) -> None:
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self.task = Tasks.video_super_resolution
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self.model_id = 'damo/cv_realbasicvsr_video-super-resolution_videolq'
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2023-01-09 22:23:55 +08:00
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self.test_video = 'https://modelscope.oss-cn-beijing.aliyuncs.com/test/videos/000.mp4'
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2022-12-28 06:18:50 +08:00
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_by_direct_model_download(self):
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cache_path = snapshot_download(self.model_id)
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pipeline = VideoSuperResolutionPipeline(cache_path)
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pipeline.group_key = self.task
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out_video_path = pipeline(
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input=self.test_video)[OutputKeys.OUTPUT_VIDEO]
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print('pipeline: the output video path is {}'.format(out_video_path))
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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model = Model.from_pretrained(self.model_id)
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pipeline_ins = pipeline(task=Tasks.video_super_resolution, model=model)
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out_video_path = pipeline_ins(
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input=self.test_video)[OutputKeys.OUTPUT_VIDEO]
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print('pipeline: the output video path is {}'.format(out_video_path))
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_name(self):
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pipeline_ins = pipeline(
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task=Tasks.video_super_resolution, model=self.model_id)
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out_video_path = pipeline_ins(
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input=self.test_video)[OutputKeys.OUTPUT_VIDEO]
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print('pipeline: the output video path is {}'.format(out_video_path))
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_default_model(self):
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pipeline_ins = pipeline(task=Tasks.video_super_resolution)
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out_video_path = pipeline_ins(
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input=self.test_video)[OutputKeys.OUTPUT_VIDEO]
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print('pipeline: the output video path is {}'.format(out_video_path))
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if __name__ == '__main__':
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unittest.main()
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