https://bugs.kde.org/show_bug.cgi?id=464266
Theliel <tahar...@gmail.com> changed:
What |Removed |Added
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CC| |tahar...@gmail.com
--- Comment #23 from Theliel <tahar...@gmail.com> ---
Facial Recognition has evolved enormously, especially since the inclusion of
Yolo-v3 (DNN barely recognizes me people, for me Yolo-v3 is mandatory). It is
true that Yolo-v3 is slower than DNN, but currently the detection speed is more
than acceptable. I just ran a couple of tests on a folder of 402 photos I had,
almost all portraits and posed:
(win11, 7700k, 4060ti)
Yolo-v3: About 3pps (About 10,800 photos per hour)
DNN: About 4pps
Probably with CUDA it would be much faster, but I think they are acceptable
times. On the other hand, if Apple wants to get rid of OpenCL to force
developers to use Metal, it is a totally different matter, it is not precisely
the fault of Digikam's dev. This is an open source project, if it were that
easy to implement a new API, anyone could do it then... and that's obviously
not the case.
Currently as far as I know, OpenCV does not support Metal (and may not support
it in the near future). The only way would be through Vulkan and MoltenVK, and
it remains to be seen the performance in comparison.
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