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Open Source Computer Vision Library
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54 lines
1.4 KiB
54 lines
1.4 KiB
#!/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.createStitcher(False) |
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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_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.createStitcher(False) |
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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.createStitcher(False) |
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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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