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I would like to confirm the following things about your SIFT+LightGlue.
Which type of SIFT is used for training of the published SIFT+LightGlue weight, OpenCV or PyColmap?
Is there a performance gap between OpenCV SIFT and PyColmap one for the published SIFT+Lightglue weight.
In the glue-factory implementation, PyColmap SIFT scores are calculated as the combination of DoG (all values are 1?) scores and scales while OpenCV scores as just DoG scores. Which can we get better results by?
The text was updated successfully, but these errors were encountered:
Thank you for your great work!
I would like to confirm the following things about your SIFT+LightGlue.
The text was updated successfully, but these errors were encountered: