https://bugs.kde.org/show_bug.cgi?id=497491
--- Comment #9 from Michael Miller <michael_mil...@msn.com> --- (In reply to tab from comment #8) > Created attachment 176661 [details] > Example after Face dedection. > > In this case I have 105 Confirmed Enteries. > Dedection Face 1 is correct, 2,3,4 are also very well know, but wrong > assiged. Ah, I see the problem. 2 things to note. First, are you using YuNet and SFace in digiKam 8.5.0? YuNet is the face detection model, and SFace is the face feature extractor. The matching algorithm (face classifier) in 8.5.0 has been completely rewritten for 8.6.0. With 8.5.0 using YuNet and SFace, results like what you are seeing are typically caused by 2 things. The most common is an incorrectly confirmed face or two assigned to a person. The other cause is a very blurry face assigned to a person. Retraining will fix the blurry face. In 8.5.0, only confirmed faces are used to train the recognition model. Unknown and unconfirmed faces are not used for any training. The face detector (YuNet) is a pre-trained deep-learning neural network model, so the training is static. My apologies, but I'm still not clear on the goal of your idea. Is it to better detect faces in an image, or to match an unknown detected face to a confirmed face? Cheers, Mike -- You are receiving this mail because: You are watching all bug changes.
