Commit Graph
2 Commits
Author SHA1 Message Date
dtourolleandClaude Opus 5 26a1eb7e28 Record that face detection has run, not just what it found
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>
2026-08-26 22:13:41 +02:00
dtourolleandClaude Opus 5 10b10569e2 Add the Identity screen
A third top-level screen beside the library and develop, because naming a
cluster and pulling a stranger out of it are tasks with their own rhythm
and need the whole window.

The screen is designed around the clustering being wrong, which is
FR-CULL-10 rather than pessimism: grouping over-merges on siblings, on
parents and children, and on the same person a decade apart. So Split off
sits next to Confirm all rather than behind a menu, the confirm/reject
pair is on the face itself, and a group the system found is drawn
differently from a person the user has vouched for.

Splitting rejects before it confirms. Without that the next clustering
pass suggests the face straight back and the user's correction becomes an
argument they keep having.

Face crops come from the proxies the grid already built, one decode per
image rather than per face -- a group photograph holding six faces of one
family is one JPEG.

Where the calibration is not fitted the screen says confidence is
unavailable instead of printing a percentage that looks measured, which
is FR-CULL-9's rule at the point it becomes visible.

The verdict controls use drawn icons, not tick and cross characters:
ui/icons.slint exists because those render as tofu on Android.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-26 21:05:41 +02:00