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yingxin-jia / SuperGlue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
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原有的MN3好像写错了？ #15

Open WangzcBruce opened 3 years ago

WangzcBruce commented 3 years ago

MN2 = np.concatenate([missing1[np.newaxis, :], (len(kp2)) np.ones((1, len(missing1)), dtype=np.int64)]) MN3 = np.concatenate([missing2[np.newaxis, :], (len(kp1)) np.ones((1, len(missing2)), dtype=np.int64)])

lmz-whu commented 3 years ago

应该没有，我理解的MN3表示的是将图片二中的遗漏点映射到图片1的最后一个点索引+1的位置，所以MN3和MN2构造是相反的才对