Product recognition demo for supermarket shelf images
The text lane now requires shared bigrams between the read and the winning row's name before it will answer, and the local lane passes the catalog signatures through so the decision can weigh text evidence. On the labeled shelf this moves the local lane from 66% to 80% end-to-end at full resolution (91% precision) and 66% at live resolution (95% precision, 2 false accepts), against 57%/35% for the matcher alone. Live fixes: - `_plan_classification` counts `in_flight` again. The increment had been dropped while removing a `label_frame_id` write, so the guard never blocked, every frame re-planned the same tracks, and the executor queue grew without bound until the server stopped answering. - Label memory boxes carry the shelf origin they were measured against and are shifted before the IoU test, so a panning camera no longer slides a stale box onto its neighbour. - The text lane is resolved before the session lock is taken, removing a lock-ordering hazard against the lane's own build lock. - A native crop always reads; the frame crop skips OCR only when it already has a reading. Stream (20 s pan, 4 runs): 71-79% coverage at 76-84% precision, against 62-71% at 73-75% before. |
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| recognization | ||
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