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tsattler / visuallocalizationbenchmark

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Import SuperGlue feature matches #36

Closed tudipffmgt closed 3 years ago

tudipffmgt commented 3 years ago

Since you already helped me once I will ask another question here - not strictly an issue ;). I was able to import D2-net and R2D2 features into COLMAP using the provided scripts and then I calculated matches using the given matching methods.

Could I also use the script to import SuperGlue inlier matches? (https://github.com/magicleap/SuperGluePretrainedNetwork) The workflow of SuperGlue directly provides matches from img_id1 to img_id2 in .npz file format. My idea is to extract every feature point in every image and write it to a .superglue file format (the given .npz file format).

Since SuperGlue already provides inlier matches is it also possible to import inlier_matches with the modify_database_with_custom_features_and_matches.py?

tsattler commented 3 years ago

Yes, that should not be an issue. The mechanism for importing the matches is the same (writing the information into the Colmap database). I think this repository should actually have code for this: https://github.com/cvg/Hierarchical-Localization

tudipffmgt commented 3 years ago

Thanks! I already saw this repository few months ago but forgot about it. I will try using the reconstruction.py/triangulation.py there :)