Product recognition demo for supermarket shelf images

kiyo9w 356f7aa502 feat: identity decision contract and session-local observation model ... Keeps the model's uncertainty out of the UI: decide_identity() separates raw matcher scores into accepted / ambiguous / unknown / rejected, and only an accepted result can name a SKU. Zero evidence is rejected, never a product. observe.py adds frame-local observations and one-zone scan sessions (draft, finalize, cancel, rescan) with replay, staleness and backpressure rules. pipeline.process_click() now reports the identity level instead of failing when the match is not accepted. Incorporates earlier uncommitted session work in this repository (identity.py, observe.py, yolo_adapter.py, test_observe.py, and the pipeline hunk those needed); yolo_adapter keeps its decoded frame per thread so concurrent sessions cannot swap images. Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>		2026-09-24 11:43:41 +09:00
recognization	feat: identity decision contract and session-local observation model	2026-09-24 11:43:41 +09:00
.gitignore	Initial commit for push folder	2026-09-18 09:13:53 +09:00