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40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from pathlib import Path
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import cv2
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import matplotlib.cm as cm
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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.cv.image_utils import match_pair_visualization
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from modelscope.utils.test_utils import test_level
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class ImageLocalFeatureMatchingTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = 'image-local-feature-matching'
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self.model_id = 'Damo_XR_Lab/cv_resnet-transformer_local-feature-matching_outdoor-data'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_image_local_feature_matching(self):
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input_location = [[
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'data/test/images/image_matching1.jpg',
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'data/test/images/image_matching2.jpg'
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]]
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estimator = pipeline(Tasks.image_local_feature_matching, model=self.model_id)
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result = estimator(input_location)
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kpts0, kpts1, conf = result[0][OutputKeys.MATCHES]
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vis_img = result[0][OutputKeys.OUTPUT_IMG]
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cv2.imwrite("vis_demo.jpg", vis_img)
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print('test_image_local_feature_matching DONE')
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if __name__ == '__main__':
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unittest.main()
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