Faces are found on the thumbnail, which is cached the right way up --
the grid would lie on its side otherwise. Segmentation runs on a proxy
rendered through a neutral edit graph, which carries no orientation and
is therefore in sensor order. For anything shot in portrait the two
differ by a quarter turn, so a face and the person containing it were
being compared in spaces 90 degrees apart: no match, or worse, a match
against somebody else's region.
The transform goes on the face rather than on the proxy. Instance masks
are defined in the proxy's space and sampled long afterwards, so turning
that space would be a far larger change than naming a region warrants.
Also two things the first screenshot of the running app showed that no
test would have:
110 of 23,528 displayed as "0%", which reads as the feature having done
nothing. One decimal below ten percent, and a floor so real progress
never shows as none.
The rail picked some near-black covers, because the largest face in a
group is often the nearest one in a badly lit frame and a black square
beside a name identifies nobody. It now cuts the best few and takes the
first legible one, falling back to the largest when a person's every
photograph is dark -- which happens, and showing it beats showing
nothing.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
dtourolleandClaude Opus 5
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