Summary: | Face recognition fails giving a lot of addition effort to correct the errors. | ||
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Product: | [Applications] digikam | Reporter: | Bob Fearnley <electron> |
Component: | Faces-Recognition | Assignee: | Digikam Developers <digikam-bugs-null> |
Status: | RESOLVED FIXED | ||
Severity: | normal | CC: | caulier.gilles, metzpinguin |
Priority: | NOR | ||
Version: | 5.9.0 | ||
Target Milestone: | --- | ||
Platform: | Appimage | ||
OS: | Linux | ||
Latest Commit: | Version Fixed In: | 7.0.0 |
Description
Bob Fearnley
2018-03-10 16:18:23 UTC
Your face database was created with digiKam-4.x, we had a bug there, that all entries were duplicated over and over again. You will have to delete the face database and train again. It is enough on average 3-5 faces to assign the names. After that, the automatic face recognition will assign meaningful names. Maik After 3 weeks of work, i finally completed the compilation of AppImage using Qt 5.11.3 + QWebkit 5.212. New 6.1.0 pre-release AppImage bundle can be found here (64 bits only for the moment) : https://files.kde.org/digikam/ Please check if this bugzilla entry still valid. Thanks in advance Gilles Caulier I have tried it but the results are inconclusive so I think I need to delete the recognition database - how can I do that? I had the options selected as in the attached image: Work on all processor cores Clear and rebuild training data Even doing that I had some very strange results. If you wan to be sure, remove the recognition.db sqlite file. It will be re-created automatically. Gilles Caulier I have removed the recognition db and re-run the scan but I am still puzzled by the results. In trying to name the face images I am wondering about the blue '+' and red 'x' symbols in the dialog. The red x means "not a face" but what does the blue + mean? 7.0.0-beta1 is out with new Face Recognition algorithm based on Deep Learning/Neural Network API from OpenCV https://download.kde.org/unstable/digikam/ Please test and give us a feedback Thanks in advance Gilles Caulier See the Neural Network example from digiKam 7.0.0-beta1 performing faces recognition with 2 items face-tagged in first. https://i.imgur.com/HHF4T9X.png 1 new item is recognized, name-tagged, highlighted with green frame, and linked in "unconfirmed" virtual tag for confirmation. Recognition work well using Deep Learning and give 97% of true positive results. I close this file now. Merry Christmas and Happy new year. Gilles Caulier |