Using SuperGlue (from Magic Leap team) in Visual Place Recognition tasks. Providing full workflow from videos/images to end-to-end API and step-by-step how to use all codes.
I want to ask why the ranking score uses np.multiply(matches,match_confidence)? Here matches should be the indexes of the matches, is it meaningful to multiply it with the matching confidence?