Product recognition demo for supermarket shelf images
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kiyo9w a716f5aab1 test(server): final smoke with the calibrated gates live
Still endpoint: 111 detections, 44 named, 42 correct, 95.5% precision, 2 wrong
(both unknown facings the local lane matches geometrically).

Stream, 20 s pan 12: 62 tracks labelled, 0 label changes, 0 unexplained, 17/27
facings named at 84% precision, 0 wrong, 0 unenrolled false accepts.

Both recordings committed under server-smoke/ and stream-gated/.
2026-09-29 04:32:38 +09:00
.github/workflows chore: run the Python suite from the repository root 2026-09-28 17:26:58 +09:00
recognization test(server): final smoke with the calibrated gates live 2026-09-29 04:32:38 +09:00
.gitignore Initial commit for push folder 2026-09-18 09:13:53 +09:00