Product recognition demo for supermarket shelf images
tngo
771e9285d7
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`classify_boxes` returned only the identity, so every accepted still-image answer reached the client as a bare SKU id with no name or price. Measured through the real server on add/image6.jpg: 41 of 41 accepted detections had no `product`. The live path attached the row; the still path did not, which is the F-02 finding the decision document recorded as still live in production. The row is attached where the decision is made, so both paths carry it, and `recognize` passes it through to the wire. Verified through the running server: 41 of 41 accepted answers now carry product_name, price, and stock counts. Also corrects the decision document's full-resolution claim, which was measured before the reference-upscaling and text-signature fixes: it said 77% precision with 11 false accepts and a hub alarm, where the current lane reads 88% with 5 and no alarm. The accept line does not need to differ by input path - correct facings sit at p25 2.07 (full) and 2.87 (live), wrong ones at p75 1.00 and 1.66, so 2.0 is the boundary in both - and the results table and the stream G1 numbers are refreshed to the current measurements. |
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| recognization | ||
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