[digiKam-users] Face recognition speed?

[Gilles Caulier]

Hi,

Yes, the work on all processors needs optimizations. It's planned for this
summer where a student must work on this topic.

Also, we voluntarily disable the GPU computations with OpenCV backend used
in the background to perform DNN operations. It's planned to reactivate it
in the future.

There is also optimization to introduce in the data stream to database,
which must be more grouped to reduce database calls.

Gilles caulier



Le ven. 14 mai 2021 à 09:33, bsw <Brian.S.Watson at gmail.com> a écrit :

> Hi,
>
> I'm new here.  I used Adobe Lightroom for several years
> semi-professionally.
> Been using Google photos more recently just for the convenience.  Want to
> remove my Google dependence so upgraded my NAS and am looking for local
> management tools.  digiKam looks great and am very happy so far, but, I
> have
> a question about the performance of the face scanning...
>
> I'm running 7.2.0 on Windows on a "Intel(R) Core(TM) i7-8565U CPU @
> 1.80GHz
> 1.99 GHz" with 16GB of RAM.  Photo library is on a NAS LAN (not WiFi)
> attached with about 120MB/s sustained read performance.  digiKam database
> is
> (obviously) on local storage which is SSD.
>
> I have read a little here about face recognition so have selected the YOLO
> v3 detection model with the default 70% sensitivity and "Work on all
> processor cores" enabled.
>
> I've run a few tests and "Scan for Faces" on an album takes about 20
> seconds
> per image.  At that rate it's going to take 65 hours to scan my 12,374
> image
> personal library.
>
> Is this expected or am I doing something wrong?
>
> Thanks,
>
> Brian
>
>
>
> --
> Sent from:
> http://digikam.1695700.n4.nabble.com/digikam-users-f1735189.html
>
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