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Digikam is the bees knees in digital asset management. I manage my personal photo archive with that, and it punches way above its weight.


"knees bees" ... maybe I'm missing a joke, but I always said "bees knees" in this context as a play on "business"


Fixed it, thanks. Sometimes my mind to finger interface changes packets on the way. I guess my nervous system uses UDP.


You're alone not :-)


I'm almost 65 and I never put "bee's knees" together with "business." And they say you can't teach an old dog....


"Bee's Knees" == absolutely the best


but is it better than the dog's bollocks?


Or the cat's whiskers

All from 1920s slang. Apart from dog's bollocks I imagine.


Nothing beats the duck's nuts


I tried it as a replacement for Picasa, but found it underwhelming.

It was slow processing the images, so took very long after adding new pictures to them turning up in searches.

One of the main attractions, searching geotagged images by location, wasn't smooth at all and quite clunky to use.

Tried it a few times last fall but gave up.


Except for it's horrible face recognition right?.. ugh.


Latest release failed the tests (with some memory corruption yikes) even. Doesn't inspire a lot of confidence that it won't eat your photos.

But the v7 uses DNN from OpenCV for face detection that supposedly has 91% accuracy on CPLFW which is pretty good! So how come people here say it sucks?


Because many people test it once, and assume that since it's FOSS, the feature is not evolved over time.


I'm away from my desktop computer, but it wasn't half bad when I last updated its DB. I don't take much portraits, so I don't use that feature much, but give it a look when I can and update you.


I can’t find an arm image for macOS. That’s a bummer.




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