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1bc76bc0fe
Imgproc test cleanup - #29740 co-authored by: @Prasadayus ### Re-enabled as-is (stale disable reasons) - `FillPolyFully.fillpoly_fully` (`test_drawing.cpp:1142`) - `Resize_Bitexact` (`test_resize_bitexact.cpp:188`, 4 instantiations): `INTER_NEAREST` and `INTER_NEAREST_EXACT` agree exactly at integer upscale factors; measured 0.0 diff on all 4. ### Add assertions - **imgproc** — new `Imgproc_Watershed.regression`: `cv::watershed` had no working coverage at all. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
#!/usr/bin/env python
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'''
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Watershed segmentation test
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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from tests_common import NewOpenCVTests
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class watershed_test(NewOpenCVTests):
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def test_watershed(self):
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img = self.get_sample('cv/inpaint/orig.png')
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markers = self.get_sample('cv/watershed/wshed_exp.png', 0)
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refSegments = self.get_sample('cv/watershed/wshed_segments.png')
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if img is None or markers is None:
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self.assertEqual(0, 1, 'Missing test data')
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# cv.watershed() writes into markers in place, so the CV_32S array must be bound
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# to a name: np.int32(markers) inline would hand over a temporary.
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markers = np.int32(markers)
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before = markers.copy()
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colors = np.int32( list(np.ndindex(3, 3, 3)) ) * 122
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cv.watershed(img, markers)
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self.assertFalse(np.array_equal(before, markers),
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'cv.watershed() did not modify the markers in place')
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segments = colors[np.maximum(markers, 0)]
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if refSegments is None:
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refSegments = segments.copy()
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cv.imwrite(self.extraTestDataPath + '/cv/watershed/wshed_segments.png', refSegments)
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self.assertLess(cv.norm(segments - refSegments, cv.NORM_L1) / 255.0, 50)
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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