Replaces the DINO gallery as the recognition path with the measured design
from docs/research/2026-09-28-recognition-architecture/DECISION.md: RootSIFT
over a per-SKU reference pyramid, similarity-constrained RANSAC and a hue
check, fused with an OCR text lane that vetoes a match whose package text
names a different catalog row and answers on its own when geometry finds
nothing.
- identity_lanes.py: LocalLane, TextLane, DecisionPolicy. The text lane
builds each row's signature from the catalog name plus its packshot OCR, so
a row with no enrolled image is still answerable.
- engine.py: every backend groups scores by canonical SKU, so no
view-suffixed id reaches the wire and a name and price always resolve.
decide_crop fuses the lanes; score_crop_lanes feeds the live path. Both
lanes are built in warm_up (non-fatally) so the first frame is not the slow
one, and the text lane shares the engine's OCR lock.
- live.py: decides per crop on the lane's own rank order. The lane's order
comes from its rank key and its value is only the gate, so re-sorting by
value named a different SKU than the lane chose; averaging in an empty
observation also diluted a good confidence below the accept line.
- identity.py: a `local` score scale whose gate is one absolute line, because
the value is already a margin over the runner-up.
- app.py, run-demo-server.sh: `--identity local` is the default; the demo
server no longer starts on the leaked `stock-lopia` catalog.
- eval_live.py: the replay vocabulary accepts `local`, so a recording from
the shipped server can be scored.
- README.md: documents the three backends and what each is for.
Measured on the corrected image6 labels at live resolution: 36/61 in-catalog
facings named at 95% precision, 0 of 48 unknowns accepted, 11 labels sourced
from the text lane alone. Through the real server: /v1/recognize 90%
precision, /v1/stream 100% precision, no view-suffixed ids on either.
Two session models shared one process. `/v1/*` and `/v1/stream` are the live
one; `/api/sessions*` and `/api/compare_live_vs_still` were the earlier model,
still constructed on every `create_app()` through `build_legacy_scans` even
though nothing called them. The web client and `stream_client.py` speak only
`/v1`.
Deleted: `observe.py` (ScanService/PerceptionService/PerceptionAdapter),
`yolo_adapter.py` (imported only by the legacy builder), `pipeline.py` and
`test_suite.py` (the old single-image CLI, reachable only from each other),
`test_observe.py` (its Session* tests), the eight legacy route handlers,
`build_legacy_scans` with its two facades, `create_fastapi_app`, and the
`scans` parameter on `create_app`.
`IdentityRankingTests` moved to `test_identity.py` before `test_observe.py` was
deleted: those five ranking rules are the live path's contract, not the legacy
model's. `test_api.py` keeps every `/v1` and WebSocket test.
Verified: 246 tests OK (2 skipped), and a route dump of a freshly built app
shows no `/api/*` path with all nine `/v1` routes and the WebSocket intact.
The crop lane asked the phone for a full-resolution crop of a facing the
frame could not decide. Four defects made that unsafe or useless:
* A capability was half-applied. `crop: true` without a usable
`max_crop_bytes` enabled the lane on the client's say-so, leaving the two
sides believing different limits. A capability is now believed whole or
refused with BAD_MESSAGE, and the limit must be an integer in 1..1048576
(bool is an int in Python and is not a limit).
* A small JPEG could claim enormous dimensions. The header is now read
without decoding and anything over 4 megapixels is refused before the
decode allocates it.
* A request was single-use, so an expired one stranded a facing only the
crop lane could decide. The lane now spends the same max_attempts budget
the frame path spends, refilled on method change and on settled-label
drift, and a phone that never answers still cannot loop.
* A candidate could be asked about from a box the frame path would refuse:
clipped by the frame edge, carried over from an earlier frame, or measured
at a score the tracker does not trust. Both lanes now share one edge gate,
and only a track whose box this frame actually measured is asked about.
Drift and method change also cleared `identity` but left `confirmed = True`,
which permanently blocked both the crop lane and label inheritance for that
track; both now clear it, without which the budget reset was dead code.
Blur and glare are refused as whole-capture faults, while `too_far` is
exempt on purpose: a distant shelf is the one frame a native-resolution crop
exists to decide.
test_live: a product is unconfirmed, then labelled, without blocking frames; a
weak match never names a SKU and ends as needs_confirmation; a restarted id is
re-verified rather than inheriting its old label; inherited labels are flagged;
latest-frame-wins accounting; payload shape; glare hint; per-session
classification cap; a method change clears labels and drops late results.
test_api: health, catalog shape (no local paths), template-image 404s including
traversal-looking ids, stock validation, recognize over raw bytes and multipart,
415/422/400 with one error shape, classify/inspect roundtrip, IMAGE_EXPIRED,
token auth on REST and the socket, the WebSocket protocol (hello, frames,
config/reset/ping, recoverable BAD_FRAME and UNDECODABLE_IMAGE, inspect and
TRACK_NOT_IN_VIEW), the session limit, and the legacy session route.
Server fixes the tests forced out: FastAPI validation errors now use the same
{"error": {...}} envelope as every other failure, and the legacy session routes
accept a missing JSON body instead of returning 500.
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
