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34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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import cv2
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import numpy as np
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from modelscope.outputs import OutputKeys
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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.test_utils import test_level
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class ImageNormalEstimationTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = 'image-normal-estimation'
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self.model_id = 'Damo_XR_Lab/cv_omnidata_image-normal-estimation_normal'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_image_normal_estimation(self):
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input_location = 'data/test/images/image_normal_estimation.jpg'
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estimator = pipeline(
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Tasks.image_normal_estimation, model=self.model_id)
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result = estimator(input_location)
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normals_vis = result[OutputKeys.NORMALS_COLOR]
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cv2.imwrite('result.jpg', normals_vis)
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print('test_image_normal_estimation DONE')
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if __name__ == '__main__':
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unittest.main()
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