https://bugs.kde.org/show_bug.cgi?id=444160
--- Comment #35 from Marshalleq <at...@electropositive.net> --- (In reply to Michael Miller from comment #33) > (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 OK, what platform do you prefer, I can do M1 Pro Mac, Linux probably any version but currently running opensuse or windows if I must :D -- You are receiving this mail because: You are watching all bug changes.
