[digiKam-users] --> Tunning Face Recgnition
Maik Qualmann
metzpinguin at gmail.com
Thu Jul 9 18:30:41 BST 2020
All confirmed faces are used, including the manual ones. However, only the
last 100 are saved. If new ones are added, the older ones are removed. We
cannot store them all, and the Faceengine would slow down if it had to compare
thousands of face vectors. So this means that the quality of facial
recognition can currently vary. A student is working on improving facial
recognition as part of GSoC 2020. We expect further improvements in late
autumn.
Maik
Am Donnerstag, 9. Juli 2020, 16:15:52 CEST schrieb 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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