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reconcile() compares one accepted identity with its tag and the catalog entry and publishes a state plus the individual signals (JAN exact, name by longest common substring, price against either the sale or the regular price). It never changes the product identity: a disagreement is a second opinion shown next to the first, and only a checksummed barcode outranks the matcher. evaluate_compliance() is the first rule family: missing_price_tag, the owner's missing_tag_group (>= 3 consecutive facings without a tag), orphan_tag, price_mismatch, plus an unreadable_tags hint. Every rule fails closed on evidence quality - a row whose tags could not be read produces "move closer", never a violation. Findings must appear in 3 of the last 5 frames before they publish, so the UI never flickers. Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
18 lines
689 B
Text
18 lines
689 B
Text
torch>=2.0.0
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torchvision>=0.15.0
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# Exact: tracking.py relies on BYTETracker internals; the trained checkpoint was written by 8.4.152
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ultralytics==8.4.153
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# ByteTrack linear assignment; pinned so ultralytics never pip-installs it at runtime
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lap>=0.5.12
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# uvicorn WebSocket support for /v1/stream
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websockets>=13
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opencv-python>=4.8.0
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numpy>=1.23.0,<2.0.0
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fastapi>=0.100.0
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uvicorn>=0.20.0
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python-multipart>=0.0.6
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requests>=2.28.0
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# macOS OCR backend (price tags); other platforms run without OCR until a
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# cross-platform backend is added - see docs/design-price-tags-and-compliance.md
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pyobjc-framework-Vision>=10; sys_platform == "darwin"
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pyobjc-framework-Quartz>=10; sys_platform == "darwin"
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