https://bugs.kde.org/show_bug.cgi?id=426309

--- Comment #6 from Rob D <d...@dukey.org> ---
(In reply to Minh Nghia Duong from comment #5)
> Hi all,
> 
> Say that we can support customized face detection backend. How do you intend
> to use it after importing the data files?
> 
> For example, how would you like to configure it and the DNN would be another
> pre-trained model, or do you want to train the model yourself.
> 
> Could you describe to me more about the use-case scenario of the
> configuration to make to install a customized model?
> 
> Nghia

I think I would use pre-trained models.  As time goes on, the ability for the
digikam devs to add additional detection methods could be handy.  YOLOv3 works
quite well.  Maybe in a few months, someone comes out with YOLOv4 and it's a
better detector.  It would be nice to open up prefs, and select the new face
detection model, and have the required training data downloaded and installed
if it doesn't already exist.

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