[digiKam-users] Face detection not working in new 7.0.0 beta?

[woenx]

Hello everyone,

I just tried the new 7.0.0 appimage
(digikam-7.0.0-git-20191101T035036-x86-64.appimage), and I found out that
the face detection feature is not working at all. It seems to be something
related to the appimage build, since the version I compiled last week of the
7.0.0 version worked just fine.

I also made sure to rename the recognition and similarity databases because
they can interfere with the new algorithm (although that should only affect
face recognition, not detection)

In the console, I see this line repeated literally thousands of times:

unknown: Numeric mode unsupported in the posix collation implementation





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[Gilles Caulier-4]

Hi,

It miss certainly XML data file for new DNN engine. I don't yet check if all data files are properly  embedded in AppImage.

Also look compare 6.4.0 and 7.0.0 AppImage bundles. there is extra 200 Mb in new version. This is certainly due to both version embedded in file at the same time. I currently re-build all from scratch to purge all previous files compiled.

So be patient, the first bundles generated was compiled and uploaded to check if all compiled fine everywhere with new code.

Best

Gilles Caulier

Le sam. 2 nov. 2019 à 08:08, woenx <[hidden email]> a écrit :

Hello everyone,

I just tried the new 7.0.0 appimage
(digikam-7.0.0-git-20191101T035036-x86-64.appimage), and I found out that
the face detection feature is not working at all. It seems to be something
related to the appimage build, since the version I compiled last week of the
7.0.0 version worked just fine.

I also made sure to rename the recognition and similarity databases because
they can interfere with the new algorithm (although that should only affect
face recognition, not detection)

In the console, I see this line repeated literally thousands of times:

unknown: Numeric mode unsupported in the posix collation implementation





--
Sent from: http://digikam.1695700.n4.nabble.com/digikam-users-f1735189.html

[woenx]

Thank you, Gilles.



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