https://bugs.kde.org/show_bug.cgi?id=444160
Chris D <sendchrissomej...@gmail.com> changed:
What |Removed |Added
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CC| |sendchrissomej...@gmail.com
--- Comment #12 from Chris D <sendchrissomej...@gmail.com> ---
Not to pile on, but I agree with all this. The misidentifies are really
outrageously not even close oftentimes (most of the time). I have tried every
setting and variation I can think of and nothing seems to affect the accuracy.
I have a large number of faces, too, and I have read that for some reason a
large number of faces can affect things negatively, but I agree, the more faces
I give digiKam, the better it should get.
I understand that the documentation tells you the accuracy can take a hit if
you have low-quality pictures or faces with sunglasses and so on, but if I've
identified 100 pictures of a person, and 80 of the pictures are pretty good and
10 are fantastic, and the rest are bad, low resolution or wearing sunglasses or
whatever, the program ought to be able to examine at all the pictures that I've
identified as a certain person and compare all of them and figure for the ones
that it doesn't see as similar that this must be an odd or bad or for whatever
reason not a picture representative of the person and ignore it. The user
shouldn't have to not identify a person as a person just because their face is
partially obscured, and the program should certainly be able to recognize a
low-pixel photo and ignore the identification if it's not helpful.
I also agree that the program should group unknown people that you haven't
identified yet. The program should be able to tell that a group of photos of
the same person are most likely all the same person without me having to tell
it what the person's name is If the program were to give matching but unknown
faces a generic name like Unknown Person 001 or something, then I could just go
in and delete or ignore or deselect the misidentifies and just rename the tag
for all the rest, rather than me having to (possibly) sort through all my
unknowns and find enough examples of this person before I can hope for the rest
of them to be identified.
Not coming down on you guys, honestly! I love this program and the innumerable
things it does really really well! Just face recognition for some reason
isn't one of them. Yet!
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