[digiKam-users] Face recognition speed?

[bsw]

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



--
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[Gilles Caulier-4]

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 <[hidden email]> 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