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synced 2026-08-12 12:30:16 +08:00
Save feature information in attributes for consistency
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@@ -21,21 +21,23 @@ tform = tf.AffineTransform(scale=(1.5, 1.5), rotation=0.5,
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img2 = tf.warp(img1, tform)
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detector = CenSurE()
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keypoints1, scales1 = detector.detect(img1)
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keypoints2, scales2 = detector.detect(img2)
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fig, ax = plt.subplots(nrows=1, ncols=2)
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plt.gray()
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detector.detect(img1)
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ax[0].imshow(img1)
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ax[0].axis('off')
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ax[0].scatter(keypoints1[:, 1], keypoints1[:, 0], 2 ** scales1,
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facecolors='none', edgecolors='r')
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ax[0].scatter(detector.keypoints_[:, 1], detector.keypoints_[:, 0],
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2 ** detector.scales_, facecolors='none', edgecolors='r')
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detector.detect(img2)
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ax[1].imshow(img2)
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ax[1].axis('off')
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ax[1].scatter(keypoints2[:, 1], keypoints2[:, 0], 2 ** scales2,
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facecolors='none', edgecolors='r')
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ax[1].scatter(detector.keypoints_[:, 1], detector.keypoints_[:, 0],
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2 ** detector.scales_, facecolors='none', edgecolors='r')
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plt.show()
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