forked from vnguyen/product-recognition-demo

History

kiyo9w a9f0f61611 fix(catalog): sku_l12 is a vegetable tare, not 焼肉のたれ中辛 The row named a product that is not on the shelf. The tag under facings #46-48 reads ユーラス野菜をおいしく食べる旨タレ (380g) at ¥299 - the exact price the l12 row already carried - and the package reads お子さまOK 甘めテイスト, the opposite of 中辛. Category, heat level and brand were all wrong. This one is worse than a wrong size: the text lane scores a crop against the row's printed name, so a correct read of the real bottle would have been vetoed by a row describing a different product. The 2023 green-label predecessor (380ml, JAN 4571233473887, checksum verified) is recorded in the manifest as predecessor-only evidence; no current JAN is claimed, because the current white package's rear label has not been photographed. One in-store rear-label photo would close that.		2026-09-29 03:07:39 +09:00
..
evaluations/2026-09-29-session	test(server): record the real-endpoint smoke after the size gate	2026-09-29 03:06:28 +09:00
external-eval/l12-reconciliation	fix(catalog): sku_l12 is a vegetable tare, not 焼肉のたれ中辛	2026-09-29 03:07:39 +09:00
packshots	docs(packshots): record l04/l07/l10 identity provenance	2026-09-29 02:51:55 +09:00
README.md	Enroll from a repo data dir; read packshots in every orientation	2026-09-29 02:33:47 +09:00

README.md

Recognition data

Everything the identity work needs to be reproducible: sourced packshots, evaluation runs, and the audits that produced them. Nothing here is ephemeral; a run that matters is written here, not to a temp directory.

`packshots/source/`

Front packshots as downloaded, before enrollment. ATTRIBUTION.json records the source URL, the product as printed, and the manufacturer for each. ocr-reads.json holds the OCR text each image produced, so a name/OCR refusal can be re-checked without re-running Vision.

rebuild_catalog.py reads this directory and writes a catalog:

.venv/bin/python code/rebuild_catalog.py --source data/packshots/source \
    --output stock-lopia-clean --csv stock-lopia/stock.csv --min-views 1 --replace

`evaluations/`

One directory per session. Each holds the raw artifacts a claim was computed from, so a number in DECISION.md can be traced back to the run that produced it.

Directory	Contents
`stream/`	WebSocket track dumps from `stream_client.py`, scored by `score_stream.py`.
`still/`	`/v1/recognize` responses for the still-image path.
`catalog-audit/`	`rebuild_catalog.py --json` reports.
`scratch/`	Intermediate images (rotations, crops) kept because they document a finding.

Scoring a stream dump:

.venv/bin/python code/score_stream.py data/evaluations/<session>/stream/<file>.json \
    --labels eval/labels/image6.json --stock-dir stock-lopia-clean