Product recognition demo for supermarket shelf images
8754738dc1
Five blocks still printed pre-correction figures. Each was re-run through the evaluator and replaced with what it actually outputs now: - The lane comparison: local 75% at 91% against Van 64% at 38% (full), and 59% at 93% against 66% at 39% (live). At live resolution Van now answers more facings correctly and is wrong on 67 of them to the local lane's 3 - stated plainly rather than left as a win on both axes. - The accept sweep: 75/67/67/62% end-to-end at 91/91/93/95% precision, with the evaluator's own column definitions spelled out, since my first re-derivation used the wrong denominator. - The G1 stream claim: four pan replays give 63-70% coverage at 76-84% precision, not 75% at 100%. - The upscale paragraph: the guard is intact, but sku_l09.jpg is now a 1000x1000 packshot, so the current run no longer exercises it. - catalog_hash and the pyramid floor: the hash covers view bytes, not just names, and every view is now above the 800 px floor. Also refreshes the server smoke against the renamed catalog: 53 named in 2.58 s, no view-suffixed ids, no missing product info. l12 is not among them - it has no enrolled view, which is the documented gap. |
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| recognization | ||
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