https://bugs.kde.org/show_bug.cgi?id=444160
--- Comment #33 from Michael Miller <michael_mil...@msn.com> --- (In reply to atoms from comment #32) > That sounds really good. I have a huge collection, do you want me to help > you test / build anything? Hi Atoms, Yes! Tuning the models isn't an exact science. While the numbers are solid against a single dataset or two (LWF and my library of 23k+ images and 18k+ faces), every library and machine is different. The more feedback we get the better we can deliver good software. Download the latest build from https://files.kde.org/digikam/. Steps to follow for converting to the new models. 1. Start digiKam. Make sure you download the new models when prompted. They are not packaged with the bundle. 2. Go to the people sidebar and change the settings at the bottom. To start, use these settings: Detection Accuracy: 60% (7 starting in a day or two. I'm updating the UI) Model: YuNet Face Size: Large Recognition Accuracy: 60% (7 starting in a day or two. I'm updating the UI) Model: SFace When you change from OpenFace to SFace for recognition you should get prompted to retrain your database. Click OK and let it run. It may take several minutes or more to complete. 3. Check if your computer is OpenCL capable by going to "Help->Components Information->OpenCV Configuration->OpenCL availability" (optional, but will make it faster) 4. If your computer is OpenCL capable, go to Preferences/Configuration->Miscellaneous->System and make sure "Disable hardware acceleration OpenCL" is unchecked. (optional, but will make it faster) 5. Run face recognition and detection and let us know the results! Cheers, Mike -- You are receiving this mail because: You are watching all bug changes.
