718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
120 lines
4.3 KiB
Python
120 lines
4.3 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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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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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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