42 lines
1.7 KiB
Markdown
42 lines
1.7 KiB
Markdown
# Capture
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Client-side. Phone and PC. This is the hard part of Slice 1.
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## Goal
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Isolate just the slab, with quick visual feedback, then produce:
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1. A uniform inventory PNG for the product page
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2. Filterable sizes and board feet from that **reference** photo
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The user’s eye on the overlay is the quality gate. There is no confidence score on the mask.
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## Controls (Slice 1)
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- Sheet: Auto / Green / Black, only if the background is not obvious
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- **One** sensitivity slider
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- Overlay on the **source** photo, live as the slider moves
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- No Apply button, no server round-trip to tune the cut
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If the edge is still wrong after the slider, retake. Extra sliders (edge offset, feather, and so on) are a fallback after real slabs prove one control is not enough. Do not ship four sliders up front.
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## After the user approves the edge
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Then — and only then — run the rest on the client:
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- Length axis from the mask; user can rotate / confirm if it is skewed
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- User length `L` (inches, 1/8") is the scale: `scale = longest_axis_px / L`
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- Width samples every 6" along that axis (min / max / avg for the listing, not for bdft)
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- `sqft = (mask_pixels / scale²) / 144` (2 decimals)
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- `bdft = sqft × thickness_in` (2 decimals). Identity: 1 sqft at 1" = 1 bdft
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- Inventory PNG: transparent, 3:4 portrait, slab centered, 80% fill at the extremes, shorter side ≥ 1600px when the source allows
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- Undersized source: warn and require retake
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User-entered length, thickness, SKU, and price always win over computed values.
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## Proof for this file
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On a real phone, after Approve, the processed PNG and the numbers appear. If Approve does nothing, capture is not done.
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Algorithm detail and test vectors: `docs/archive/TECH-SPEC-PIPELINE.md` (history). Live behavior is this file.
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