Product recognition demo for supermarket shelf images

kiyo9w 74e9afed7d test(server): record the real-endpoint smoke after the size gate ... /v1/recognize on add/image6.jpg against stock-lopia-clean: 111 detections, 53 named, every one carrying product_name and price, no view-suffixed ids. sku_l10 answers 9 facings, which it could not do before it was enrolled. The live WebSocket path was exercised too: 217 frames, 77 tracks labelled, 0 unexplained label changes, l09 and l10 in the final summary.		2026-09-29 03:06:28 +09:00
.github/workflows	chore: run the Python suite from the repository root	2026-09-28 17:26:58 +09:00
recognization	test(server): record the real-endpoint smoke after the size gate	2026-09-29 03:06:28 +09:00
.gitignore	Initial commit for push folder	2026-09-18 09:13:53 +09:00