Product recognition demo for supermarket shelf images
8f750c15c5
Web client: price-tag boxes in a distinct style (teal, chip with the parsed price), an OCR section in the product card showing the tag's price, name, discount and the reconciliation verdict with both values, and a compliance strip under the stage. The photo stage now draws the image into the canvas and uses the same containment as the media, so boxes cannot drift from the product (they did: the canvas stretched to the stage while the photo was contained). Server fixes the browser runs forced out: - Photo mode reconciled before identities existed, so every tag read "tag only". The tag bundle is cached with the still and classify re-reconciles against the identities it just produced, returning them per detection. - The still path only ever read the first four bands (plan hands out two per call); it now drains every band, twice at different upscales so the vote has independent reads. - Voting is confidence-weighted and a dead heat stays unread; the plausible shelf-price range is 10-9999, which stops a misread from becoming a ¥26,300 price. The compliance coverage bar moved to 0.7 after 0.5 produced a false "group without price tag" on a shelf where every facing has one. Measured on add/image6.jpg: 8 readable tags with names and prices, 942 ms for the whole still, 7 real price mismatches, no false violations, and hints that say plainly when a row could not be read. Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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