https://bugs.kde.org/show_bug.cgi?id=472266
Michael Miller <michael_mil...@msn.com> changed:
What |Removed |Added
----------------------------------------------------------------------------
Status|REPORTED |CONFIRMED
Ever confirmed|0 |1
--- Comment #6 from Michael Miller <michael_mil...@msn.com> ---
Hi Justin,
You're not too far off. You're off by only 127 :) . Each face is represented
by 128 vectors. This applies to both OpenFace and SFace. The new SFace
extraction model we're implementing is much more accurate at extracting face
features (vectors), so matching is more accurate. We then use a KDTree for KNN
classification of the unknown image.
I should have something you can test with by the end of the week. I would love
for you to give it a try and see what you think if you don't mind running a
pre-release version of digiKam.
First, I think you'll find the rate of false-positives is much, much lower. It
also does a better job of accurately matching fuzzy/blurred/pixelated faces,
too.
In the future I plan on implementing clustering to further refine the KDTree
which will better detect outliers.
For the UI, face thumbnail images are grouped typically by the album in which
they were found. You can easily accept multiple suggestions at once using
shift-click or ctrl-click to select multiple images and then clicking confirm
on one image to confirm the group.
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