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38788a3161
python binding for matches and inliers_mask attributes of cv2.detail_MatchesInfo class * making matches and inliers_mask attributes of cv2.detail_MatchesInfo class accessible from python interface * binding test for cv2.detail_MatchesInfo class
140 lines
4.9 KiB
Python
140 lines
4.9 KiB
Python
#!/usr/bin/env python
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import cv2 as cv
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from tests_common import NewOpenCVTests
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class stitching_test(NewOpenCVTests):
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def test_simple(self):
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img1 = self.get_sample('stitching/a1.png')
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img2 = self.get_sample('stitching/a2.png')
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stitcher = cv.Stitcher.create(cv.Stitcher_PANORAMA)
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(_result, pano) = stitcher.stitch((img1, img2))
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#cv.imshow("pano", pano)
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#cv.waitKey()
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self.assertAlmostEqual(pano.shape[0], 685, delta=100, msg="rows: %r" % list(pano.shape))
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self.assertAlmostEqual(pano.shape[1], 1025, delta=100, msg="cols: %r" % list(pano.shape))
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class stitching_detail_test(NewOpenCVTests):
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def test_simple(self):
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img = self.get_sample('stitching/a1.png')
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finder= cv.ORB.create()
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imgFea = cv.detail.computeImageFeatures2(finder,img)
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self.assertIsNotNone(imgFea)
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# Added Test for PR #21180
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self.assertIsNotNone(imgFea.keypoints)
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matcher = cv.detail_BestOf2NearestMatcher(False, 0.3)
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self.assertIsNotNone(matcher)
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matcher = cv.detail_AffineBestOf2NearestMatcher(False, False, 0.3)
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self.assertIsNotNone(matcher)
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matcher = cv.detail_BestOf2NearestRangeMatcher(2, False, 0.3)
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self.assertIsNotNone(matcher)
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estimator = cv.detail_AffineBasedEstimator()
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self.assertIsNotNone(estimator)
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estimator = cv.detail_HomographyBasedEstimator()
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self.assertIsNotNone(estimator)
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adjuster = cv.detail_BundleAdjusterReproj()
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self.assertIsNotNone(adjuster)
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adjuster = cv.detail_BundleAdjusterRay()
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self.assertIsNotNone(adjuster)
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adjuster = cv.detail_BundleAdjusterAffinePartial()
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self.assertIsNotNone(adjuster)
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adjuster = cv.detail_NoBundleAdjuster()
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self.assertIsNotNone(adjuster)
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compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_NO)
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self.assertIsNotNone(compensator)
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compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_GAIN)
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self.assertIsNotNone(compensator)
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compensator=cv.detail.ExposureCompensator_createDefault(cv.detail.ExposureCompensator_GAIN_BLOCKS)
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self.assertIsNotNone(compensator)
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seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_NO)
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self.assertIsNotNone(seam_finder)
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seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_NO)
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self.assertIsNotNone(seam_finder)
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seam_finder = cv.detail.SeamFinder_createDefault(cv.detail.SeamFinder_VORONOI_SEAM)
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self.assertIsNotNone(seam_finder)
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seam_finder = cv.detail_GraphCutSeamFinder("COST_COLOR")
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self.assertIsNotNone(seam_finder)
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seam_finder = cv.detail_GraphCutSeamFinder("COST_COLOR_GRAD")
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self.assertIsNotNone(seam_finder)
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seam_finder = cv.detail_DpSeamFinder("COLOR")
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self.assertIsNotNone(seam_finder)
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seam_finder = cv.detail_DpSeamFinder("COLOR_GRAD")
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self.assertIsNotNone(seam_finder)
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blender = cv.detail.Blender_createDefault(cv.detail.Blender_NO)
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self.assertIsNotNone(blender)
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blender = cv.detail.Blender_createDefault(cv.detail.Blender_FEATHER)
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self.assertIsNotNone(blender)
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blender = cv.detail.Blender_createDefault(cv.detail.Blender_MULTI_BAND)
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self.assertIsNotNone(blender)
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timelapser = cv.detail.Timelapser_createDefault(cv.detail.Timelapser_AS_IS);
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self.assertIsNotNone(timelapser)
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timelapser = cv.detail.Timelapser_createDefault(cv.detail.Timelapser_CROP);
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self.assertIsNotNone(timelapser)
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class stitching_compose_panorama_test_no_args(NewOpenCVTests):
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def test_simple(self):
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img1 = self.get_sample('stitching/a1.png')
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img2 = self.get_sample('stitching/a2.png')
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stitcher = cv.Stitcher.create(cv.Stitcher_PANORAMA)
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stitcher.estimateTransform((img1, img2))
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result, _ = stitcher.composePanorama()
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assert result == 0
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class stitching_compose_panorama_args(NewOpenCVTests):
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def test_simple(self):
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img1 = self.get_sample('stitching/a1.png')
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img2 = self.get_sample('stitching/a2.png')
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stitcher = cv.Stitcher.create(cv.Stitcher_PANORAMA)
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stitcher.estimateTransform((img1, img2))
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result, _ = stitcher.composePanorama((img1, img2))
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assert result == 0
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class stitching_matches_info_test(NewOpenCVTests):
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def test_simple(self):
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finder = cv.ORB.create()
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img1 = self.get_sample('stitching/a1.png')
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img2 = self.get_sample('stitching/a2.png')
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img_feat1 = cv.detail.computeImageFeatures2(finder, img1)
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img_feat2 = cv.detail.computeImageFeatures2(finder, img2)
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matcher = cv.detail.BestOf2NearestMatcher_create()
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matches_info = matcher.apply(img_feat1, img_feat2)
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self.assertIsNotNone(matches_info.matches)
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self.assertIsNotNone(matches_info.inliers_mask)
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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