[digiKam-users] Crash during facial recognition

bryan at gillson.net bryan at gillson.net
Mon Oct 12 09:00:03 BST 2020


Maik, thank you for the response, this seems to have resolved the issue. I
downloaded 7.2-beta1, rebuilt the training database, and re-ran the "Detect
faces" process. It completed successfully with no crashes. I am now running
the "Recognize faces" process, and it's at 4% but looks like it's working
well.

 

One comment: when Digikam completed detecting faces, the "Unknown" People
tag displayed at (0). During detection, this had been up over 50,000.

 

Once I selected "Recognize Faces" and clicked "Scan collection for faces",
this counter reset to the correct number (over 59,000), and the counter
began decrementing as those faces got recognized.

 

Is "Unknown" being set to (0) a bug, or by design? If a bug, should I report
it?

 

Thank you again for the assistance.

 

> Date: Sat, 10 Oct 2020 19:27:28 +0200

> From: Maik Qualmann <metzpinguin at gmail.com <mailto:metzpinguin at gmail.com>
>

> To: digiKam - Home Manage your photographs as a professional with the

>             power of open source <digikam-users at kde.org
<mailto:digikam-users at kde.org> >

> Subject: Re: [digiKam-users] Crash during facial recognition

> 

> DigiKam-7.2.0-Beta1 fixes problems related to MySQL and the face database.


> First you should then rebuild the training data. Run Maintenance Tool->
Face Recognition section-> [x] Rebuild Training Database.

> 

> Maik

> 

> Am Samstag, 10. Oktober 2020, 19:07:15 CEST schrieben Sie:

> > Well, we already have various bug reports on this. We're working on 

> > it. I understand correctly that face detection works, it crashes in 

> > face recognition? Try the digiKam-7.2.0-beta1 from here:

> > 

> > https://files.kde.org/digikam/

> > 

> > Maik

> >

> > > Am Samstag, 10. Oktober 2020, 18:58:28 CEST schrieb bryan at gillson.net
<mailto:bryan at gillson.net> :

> > > I am unable to run facial recognition without Digikam crashing. Is 

> > > this a common problem, and are there known issues or workarounds for
this?

 

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