History

kiyo9w 8db280d220 feat(enroll): report views with no recorded source Six enrolled views predate ATTRIBUTION.json and their source URLs were never recorded. They are not wrong - each is independent of the evaluation photo (highest template match 0.166 against add/image6.jpg) and each is above the enrollment floor - but the provenance is gone, and provenance is what lets a later audit tell a re-sourced packshot from a leaked shelf crop. rebuild_catalog now names them instead of leaving the gap to be rediscovered, and ATTRIBUTION.json records both the l06 replacement and the gap itself, with what is verifiable about those six. Reported, not refused: refusing would drop six working references to punish a missing field.		2026-09-29 03:35:41 +09:00
..
evaluations/2026-09-29-session	docs(decision): refresh every number the corrected labels moved	2026-09-29 03:18:30 +09:00
external-eval	docs(decision): report the external benchmark on the corrected basis	2026-09-29 03:30:16 +09:00
packshots	feat(enroll): report views with no recorded source	2026-09-29 03:35:41 +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