Re: Still cant figure out face recognition under 8.7
"Chad A. Bersche" <[email protected]>
| Newsgroups | gmane.comp.kde.digikam.user |
|---|---|
| Message-ID | <[email protected]> |
I've been baffled by this as well. I'm running on Windows 11, DigiKam 8.7, and downloaded all the modules. I let it grind thru a bunch of my libraries overnight. It resulted in about 6000 images in the Unknown category. I spent a a couple hours assigning names to people in that list (sometimes up to 200-300 images). I still have 5500 in the Unknown bucket after classifying several hundred. After doing that, I went to run the "Recognize faces only" with Accuracy=7, Search in set to "All Albums" and Tags unchecked. Then when I do the "Scan collection for faces" nothing changes, and all the same Unknown images stay in the same Unknown bucket. What am I doing wrong? I had hoped that tagging a good number of faces before doing the recognition would improve its accuracy, but it seems to just want me to do all the assignment work, which I kinda don't want to do. I'm using an external SQL database, with the database running on Linux, because I do use the same image libraries across Windows clients. Thanks for any help/suggestions! -- Chad On 7/8/2025 10:43 PM, Gilles Caulier wrote: > Hi, > > You need to first detect faces on albums before you recognize them. > After detecting, manually tag a few faces with names, at least a few > ones are enough to teach the AI for an automated recognition. > > Finally, run a recognition process and look as AI recognizes similar > faces already registered in the model but not yet tagged in the > database. > > The workflow is explained in the online doc : > https://docs.digikam.org/en/left_sidebar/people_view.html > > Best > > Gilles Caulier > > Le mer. 9 juil. 2025 à 02:08, robert lindsay > <[email protected]> a écrit : >> This is under intel mac os and I installed the modules it asked for in installation. Under face recognition their are boxes for rebuilding and training data, but i can't find on to start face recognition on albums