Product recognition demo for supermarket shelf images
tngo
e53c1ef59b
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Three items from DECISION §8's enrollment protocol were unimplemented and none of them needed Tier-2 data: - Eval reports now record provenance: catalog hash, label-file hash, image hash and the code revision, so a number can be traced to the inputs that produced it. The catalog hash covers the CSV bytes and the view names, not image bytes: a re-encoded view of the same product is the same catalog. - rebuild_catalog flags cross-SKU near-duplicates as text-discriminated siblings. These are the near-unknown case no threshold rejects - the geometry is real because the sibling shares the brand's artwork - so they are reported rather than refused. - --shelf-tags turns the completeness rule into a live-ready verdict. Without the shelf's SKU list the verdict is 'unknown', not a guess. Adds test_rebuild_catalog.py (11 tests; the tool had no test file). Suite 261 -> 272. Also corrects score_crop_lanes' docstring, which still described the live path as averaging local scores when the local scale decides on the newest crop. |
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