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docs: record the measured live accepted share

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The cosine-gate fix shipped without its end-to-end number. Measured on the same
walk (`stream_client.py --source add/image6.jpg --pan 12 --seconds 20 --pace
result`, store stock-lopia): 16 of 261 tracks labelled and 2 of 30 facings
recognized before, 83 of 255 and 6 of 31 after. The pre-fix figure was taken by
restoring the old 0.60/0.50 gate in place, measuring, and reverting.

The remaining unconfirmed tracks are products the 12-SKU catalog has no view
for, not refusals.
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kiyo9w 2026-09-28 18:01:44 +09:00
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@ -353,6 +353,23 @@ Apple M5, 10 cores, 24 GB, CPU device, 2026-09-24 (`code/bench_engine.py`,
| Live results, two clients | 8.5 per second each, detection p50 75 ms |
| Time to first label on a pan | ~1.0-2.6 s (includes waiting for the product to enter) |
### Live accepted share after the cosine-gate fix (2026-09-28)
The live path used to re-gate the gallery's own scores at `COSINE_ACCEPT` (0.60)
and `COSINE_AMBIGUOUS` (0.50), lines above the fine-tuned head's own 0.40, so
matches the gallery had already accepted were refused again. Measured on the
same machine, store `stock-lopia`, `code/stream_client.py --source add/image6.jpg
--pan 12 --seconds 20 --pace result`:
| Gating | Tracks labelled | Final recognized / in view |
| --- | --- | --- |
| Pre-fix 0.60 / 0.50 | 16 of 261 | 2 of 30 |
| Gallery's own line | 83 of 255 | 6 of 31 |
5.2x the labelled tracks and 3x the settled facings on an identical walk. The
remaining `unconfirmed` tracks are products the gallery has no view for, not
refusals: `stock-lopia` holds 12 SKUs while the frame shows a full bay.
The live numbers use the shipped defaults: `--classify-workers 5` and torch capped at
4 threads (`DORAYAKI_TORCH_THREADS=4`). Uncapped torch and 8 workers measured slower
(11.1 results/s single-client) because detection and classification fight over the