just curiosity: AI image analysis ?

[Gilles Caulier]

Le dim. 30 mars 2025 à 00:46, Kjetil Kjernsmo <kjetil at kjernsmo.net> a
écrit :

> On lørdag 29. mars 2025 19:56:37 CET Michael Miller wrote:
> > The auto-tagging models in digiKam can accomplish a small portion of
> this by
> > identifying objects in images like cars, people, animals, etc (YOLOv11
> > models), and can also identify some compositional elements like
> lakeshores,
> > mountains, sand dunes, etc (EfficientNetB7 model).  These models are the
> > best available at the moment that can be run somewhat effectively on a
> > person’s computer.
>
> So, one thing is the kind of laptops people tend to have on their desktop,
> but
> I assume that quite a few Digikam users might tend to be more power users,
> and
> so have stationary computers available that they could use for heavier
> loads.
> I currently have two such, one which has my files and a MySQL database,
> but it
> could do so much more.
>
> Could this accelerate the progress if there was a framework (in KDE, for
> example), to offload processing of such heavy tasks to a different local
> box?
>
>
We already use the best one : OpenCV

https://docs.opencv.org/4.x/d2/d58/tutorial_table_of_content_dnn.html

It's fully customizable with AI models and can use accelerated hardwares
through openCL.

KDE does not have any stuff like this.

Best

Gilles Caulier
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