https://bugs.kde.org/show_bug.cgi?id=416462
--- Comment #9 from Mario Frank <mario.fr...@uni-potsdam.de> --- (In reply to caulier.gilles from comment #7) > Hi Mario and happy new year, > > Well, i don't have a best idea, excepted the fact to use a deep learning > method. Typically, We have a bug entry to detect and recognize monuments, > places, animals, flower, tree, and more. This can be certainly extended to > detect similar image based on shape. > > I don't want mean to use DNN for similarity, but to check how rotation > problem is treated with the DNN method, and to see if the algorithm is > applicable to the current similarity code. > > For me the DNN performance is poor, especially if video cards acceleration > is not used. Similarity algorithm has acceptable performances as well. > > So yes, a GoSC 2022 project can be proposed around this topic. > > Gilles Hi Gilles, and I wish you a happy year, too. I already had the same idea concerning DNN some time ago. And I agree that DNN may not be our friend concerning performance in this case. There seem to be concepts for detecting rotated objects. But an image may have a huge amount of objects. And I did not find a description of recognising whether the complete image is rotated. In principle, this should be possible. But again, the performance could be a big problem. Nevertheless, it could be worth a try. Regards, Mario -- You are receiving this mail because: You are watching all bug changes.
