mirror of
https://github.com/modelscope/modelscope.git
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49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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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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import torch
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import modelscope
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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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print(modelscope.version.__release_datetime__)
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class ImageSkychangeTest(unittest.TestCase):
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def setUp(self) -> None:
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self.model = 'damo/cv_hrnetocr_skychange'
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self.sky_image = 'data/test/images/sky_image.jpg'
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self.scene_image = 'data/test/images/scene_image.jpg'
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self.input = {
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'sky_image': self.sky_image,
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'scene_image': self.scene_image,
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}
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def pipeline_inference(self, pipeline: Pipeline, input: str):
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result = pipeline(input)
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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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image_skychange = pipeline(Tasks.image_skychange, model=self.model)
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self.pipeline_inference(image_skychange, self.input)
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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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image_skychange = pipeline(Tasks.image_skychange)
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self.pipeline_inference(image_skychange, self.input)
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if __name__ == '__main__':
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unittest.main()
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