https://bugs.kde.org/show_bug.cgi?id=444160

--- Comment #19 from at...@electropositive.net ---
(In reply to Michael Miller from comment #18)
> Hi Jonathan,
> First, please make sure you have the latest build from yesterday.  
> 
> Try these settings:
> Detection accuracy: 60%
> Model: YuNet
> Face Size: Large
> Recognition Accuracy: 60%
> Model: SFace
> Uncheck Work on all processor cores
> 
> The last setting is important to reduce lag.  Processing will be faster if
> it's checked, but digiKam will try to use all the CPU it can, which will
> cause lag in the UI.  If you want to run a scan while you're away from the
> computer then checking Work on all processor cores is good.
> 
> We're doing our best to tune the models, and your help is greatly
> appreciated.  Let us know how well digiKam did at detecting and recognizing
> the faces.
> 
> Cheers,
> Mike

If there is anything we all can do to help with the training part (as I know
that is quite painful), happy to do so with our local gear.  In my case 4090.
Or perhaps we need to build up an online a/b user training system that we can
all jump into and help. Topic for somewhere else I'm sure but here I'm sure it
will get at least a few of the right eyes.

-- 
You are receiving this mail because:
You are watching all bug changes.

Reply via email to