Issue with SuperPoint and LightGlue Keypoint Matching

[p890040]

Hello,

I've been utilizing the default SuperPoint for feature extraction combined with LightGlue for keypoint matching in this repository, and the results have been quite satisfactory in my use case.

However, today I replaced the SuperPoint weights with ones sourced from https://github.com/rpautrat/SuperPoint. Upon inspection, the model appears to identify a considerable number of keypoints accurately. Nevertheless, when these keypoints and descriptors are fed into LightGlue, it fails to find any matching keypoints.

Is this outcome expected, or could there be some unforeseen issue I've overlooked? I'd appreciate any insights or recommendations regarding this situation.

Thank you.

[sarlinpe]

LightGlue models trained for one kind of descriptors are not compatible with other descriptors. These are 2 different implementations of SuperPoint with very different weights. We will release one model of LightGlue trained for this SuperPoint but this will have to wait longer.

[p890040]

LightGlue models trained for one kind of descriptors are not compatible with other descriptors. These are 2 different implementations of SuperPoint with very different weights. We will release one model of LightGlue trained for this SuperPoint but this will have to wait longer.

Thanks for the explanation, I'm looking forward to your masterpiece.

[nitinagarwal]

@sarlinpe it will be interesting to see the comparison of the official SPSG and SP(https://github.com/rpautrat/SuperPoint.) + LightGlue.
Thanks

[avdhoeke]

Hey, any updates on LightGlue trained for https://github.com/rpautrat/SuperPoint?