[digiKam-users] --> Tunning Face Recgnition

[Rob Dueckman]

I have a question about retraining the faces database.

Does the retraining look at all tagged faces including manually added
faces, or just faces that have been detected and confirmed by the
Digikam face recognition routines?  

I'm asking because I manually tag faces that really are not good to be
used for training (obscured, bad angles, etc) and it would be counter
productive to pollute the training data with this garbage data.

If all faces are used in training, maybe flagging manually added face
regions would be a good idea (or flagging auto-detected regions so it
works with old data coming forward).

Rob


On Thu, 2020-06-25 at 21:49 +0200, Maik Qualmann wrote:
> It is very important that you rebuild the training data for the new face 
> engine in digiKam-7.0.0.
> Tools-> Maintenance...-> [x] Detect an recognize Faces-> [x] Clear an rebuild 
> all training data. 
> With this maintenance run, the face vectors are regenerated based on the 
> already confirmed faces.
> 
> Maik
> 
> Am Donnerstag, 25. Juni 2020, 21:29:54 CEST schrieb Alex Antão:
> > Is there a way to tune face recognition better ? 
> > 
> > 
> > 
> > That's because it is finding some faces completely different from some
> > people. Even if I apply them to the right one, new ones keep going to the
> > wrong.
> > 
> > 
> > 
> > It also seems that it cannot forget some deleted faces. For example, I
> > mistakenly applied a name to a face, that name was wrong and fixed it to
> > the right. When I start the face recognition process, that deleted face
> > apears again and the faces that should be assigned to the Corrected face,
> > is assigned to the deleted one....
> > 
> > 
> > 
> > Thanks...
> 
> 
> 
> 
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