# LOPIA clean catalog

Official manufacturer pack shots, one front view per SKU. This replaces the
views in `../stock-lopia/`, which were 71-119 px crops cut from the test shelf
`add/image6.jpg` itself: one 18 px sliver, duplicate crops, a wrong product on
`sku_l09`, and five SKUs with no view at all. Enrolling from the test shelf is
why every dark package collapsed onto one SKU and why the identity head was
trained on its own exam.

Rebuild or extend with:

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

`--min-views 1` because official pages publish a single front view per JAN. The
default floor of 2 exists to catch accidental single-view enrollment from shelf
crops, where several views are available.

## Provenance

| SKU | Product | Source | Image |
|---|---|---|---|
| sku_l01 | キユーピー エッグケア 305g | [kewpie.co.jp](https://www.kewpie.co.jp/products/detail/4901577090301/) | `4901577090301L.jpg` |
| sku_l02 | キユーピー 血圧ケア アマニ油マヨネーズ 200g | [kewpie.co.jp](https://www.kewpie.co.jp/products/detail/4901577060052/) | `4901577060052L.jpg` |
| sku_l03 | キユーピー からしマヨネーズ 200g | [kewpie.co.jp](https://www.kewpie.co.jp/products/detail/4901577338779/) | `4901577338779L.jpg` |
| sku_l05 | キユーピー ゼロ ノンコレステロール 310g | [kewpie.co.jp](https://www.kewpie.co.jp/products/detail/4901577092381/) | `4901577092381L.jpg` |
| sku_l06 | キユーピー 内臓脂肪ケア フィッテ 210g | [kewpie.co.jp](https://www.kewpie.co.jp/products/close/) (discontinued 2026秋) | `4901577083600L.jpg` |
| sku_l09 | ピュアセレクト コクうま カロリーカット65% 360g | [ajinomoto.co.jp](https://www.ajinomoto.co.jp/products/detail/?ProductName=pureselect_2) | `A140600321` |
| sku_l11 | キユーピー ハーフ 400g | [kewpie.co.jp](https://www.kewpie.co.jp/products/detail/4901577031083/) | `4901577031083L.jpg` |

Kewpie images follow `https://img.kewpie.co.jp/products_src/g3/imgs/<JAN13>L.jpg`;
Ajinomoto images follow
`https://www.ajinomoto.co.jp/products/Image.aspx?PicType=0&PIMNO=<PIMNO>`.

## Known gaps

Five SKUs in `../stock-lopia/stock.csv` have no official pack shot here, so no
image lane can match them. They stay in `stock.csv` as text-only rows: the text
lane builds a signature from the printed name, which is how it can name or veto
a near-unknown the matcher cannot see. They are the current image-coverage
ceiling, not a recognition failure:

| SKU | Catalog name | Why it is missing |
|---|---|---|
| sku_l04 | やまや めんたいマヨネーズタイプ 200g | Yamaya's current lineup has no 200 g mentaiko mayo |
| sku_l07 | 丸和油脂 ラッキーマヨネーズ 200g | Maruwa's current catalog has no 200 g Lucky Mayonnaise |
| sku_l08 | スパイシーストーム ペリペリミックス 30g | No official 30 g Peri-Peri Mix found |
| sku_l10 | ピュアセレクト マヨネーズ 450g | Ajinomoto's current lineup is 400/250/600 g/1 kg; no 450 g |
| sku_l12 | 焼肉のたれ 中辛 | Brand not recorded in the catalog; ambiguous |

The catalog names for these five disagree with the manufacturers' current
lineups, so the shelf tags and the CSV need reconciling before enrollment.

Keep the text-only rows when rebuilding: the CSV carry-over must preserve every
source row, not just the SKUs with a kept view. Dropping these five costs the
text lane the signatures that cover them.

`sku_l09.jpg` is enrolled but only 305 px tall, below the 800 px source floor
the enrollment protocol wants (§8 of the architecture decision). Its matcher
scores dwarf the other references (85-129 inliers against 10-40), so it wins
facings it should not; re-source it before trusting l09 precision. Measured on
the corrected image6 labels at full resolution, that is the one hub alarm the
local lane raises: 18 accepts, 12 correct, a 37.5% share against the 30% limit.
At live resolution the alarm clears (29%).

## Rejected

`references/rejected/kewpie-mayonnaise-450g.jpg` is Kewpie Mayonnaise 450g (JAN
4901577042072). It was briefly filed as `sku_l09` and then as `sku_l10` because
the catalog's names pointed there, but it is neither product: l09 is Ajinomoto
Pure Select コクうま カロリーカット 65% 360g and l10 is Pure Select マヨネーズ
450g. It is kept as provenance for that mix-up and is never enrolled.