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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9662182 * clean up test level
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os.path as osp
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import unittest
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import cv2
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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.base import Pipeline
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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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class ImageSuperResolutionTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model_id = 'damo/cv_rrdb_image-super-resolution'
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self.img = 'data/test/images/dogs.jpg'
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def pipeline_inference(self, pipeline: Pipeline, img: str):
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result = pipeline(img)
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if result is not None:
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cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG])
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print(f'Output written to {osp.abspath("result.png")}')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_modelhub(self):
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super_resolution = pipeline(
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Tasks.image_super_resolution, model=self.model_id)
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self.pipeline_inference(super_resolution, self.img)
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_modelhub_default_model(self):
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super_resolution = pipeline(Tasks.image_super_resolution)
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self.pipeline_inference(super_resolution, self.img)
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if __name__ == '__main__':
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unittest.main()
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