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4 commits

Author SHA1 Message Date
kiyo9w
5094b5f6ca fix(recognition): calibrate the accept lines against unrelated shelves
Every threshold was fitted on image6, where each crop is a facing of a product
the shelf holds, so the set could not price a false accept. Measured on 4580
crops from 64 unrelated Wikimedia shelf photos at the shipped configuration:

  LOCAL_ACCEPT 2.0 -> 4.0   false accepts 60 (1.31%) -> 3 (0.07%)
  TEXT_MIN_SHARED 2 -> 4    the two-bigram reads that named sku_l12 via おい/いし

On image6 that is 44 shown / 42 correct at full resolution - 95.5% precision,
65.6% coverage - the highest-coverage cell of the joint sweep that passes both
G2 (>= 95%) and G3 (<= 1%). At live resolution 56% end-to-end at 97%.

The text lane's evidence floor gates its answer only: zeroing the row's score
would reorder the ranking and make the margin gate compare a different pair
than the one it was measured on.

code/sweep_accept_lines.py sweeps both axes jointly through the shipped
DecisionPolicy; the earlier table swept one axis while pinning the other, so
its baseline rows were not the old line.
2026-09-29 09:28:13 +09:00
kiyo9w
6cad638c26 fix: record and require the walk identity backend 2026-09-28 14:42:03 +09:00
kiyo9w
44badcf193 fix: replay recorded walks with selected identity backend 2026-09-28 14:17:14 +09:00
kiyo9w
934615b593 fix: restore reliable authenticated live recognition 2026-09-28 12:38:15 +09:00