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49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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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 SalientDetectionTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.semantic_segmentation
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self.model_id = 'damo/cv_u2net_salient-detection'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_salient_detection(self):
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input_location = 'data/test/images/image_salient_detection.jpg'
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model_id = 'damo/cv_u2net_salient-detection'
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salient_detect = pipeline(Tasks.semantic_segmentation, model=model_id)
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result = salient_detect(input_location)
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import cv2
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cv2.imwrite(input_location + '_salient.jpg', result[OutputKeys.MASKS])
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_salient_boudary_detection(self):
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input_location = 'data/test/images/image_salient_detection.jpg'
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model_id = 'damo/cv_res2net_salient-detection'
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salient_detect = pipeline(Tasks.semantic_segmentation, model=model_id)
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result = salient_detect(input_location)
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import cv2
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cv2.imwrite(input_location + '_boudary_salient.jpg',
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result[OutputKeys.MASKS])
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_camouflag_detection(self):
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input_location = 'data/test/images/image_camouflag_detection.jpg'
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model_id = 'damo/cv_res2net_camouflaged-detection'
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camouflag_detect = pipeline(
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Tasks.semantic_segmentation, model=model_id)
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result = camouflag_detect(input_location)
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import cv2
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cv2.imwrite(input_location + '_camouflag.jpg',
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result[OutputKeys.MASKS])
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if __name__ == '__main__':
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unittest.main()
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