An image with no faces in it was indistinguishable from one that had
never been looked at, so every landscape, still life and document scan in
the library was re-detected on every pass, for ever. In a real library
that is most of it: on the 23,527-image test library, 64 of the first 110
images indexed contain no face at all.
Schema v9 adds face_index, a run marker per (image, model) carrying the
face count and the proxy edge it read. Keyed on the model, so a model
change puts every image back in the queue by itself.
That makes a coverage figure possible, which is the thing a user actually
wants to see. The audit also splits the outstanding set by whether a
proxy exists, because 23,417 awaiting a proxy and 110 ready to index are
different problems, and telling the user to run indexing again would not
fix the first.
The Identity screen gains Index faces, Stop, and the coverage line.
examples/face_index.rs is the same check and sweep without a window,
which is the right shape for an overnight pass.
Measured on the real library in release: 3.5 images/second, 110 images
and 125 faces in 30 seconds, and a second run correctly finds nothing
left to do.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
dtourolleandClaude Opus 5
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