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- New OpenCV-based pipeline (preprocessing, wall detection, tag detection) that converts pixel-based floor plans into vectorized JSON output - Wall detection with morphological isolation, thickness/length filtering, and collinear segment merging (targets 15-20 walls) - Door tag detection via Hough Circle Transform with wall proximity filter - Window tag detection via flat-top hexagon contour matching, calibrated from the drawing's own legend symbols (area ~1400-1800px², aspect ~1.3) - API routes for CV takeoff analysis (file upload and URL endpoints) - Annotation script for visual debugging of detections - Updated takeoff prompt with Spatial Verification Protocol - Added opencv-python-headless, numpy, pymupdf dependencies Co-authored-by: Cursor <cursoragent@cursor.com>
These files contain secrets and should not be in version control. Both are already listed in .gitignore. Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
- Use orientation-matched masks (h_mask/v_mask) instead of combined_mask for visual_thickness measurement, eliminating perpendicular wall contamination at T/L-junctions - Add endpoint margin and absolute cap on visual_thickness - Add junction corner fills in annotation to bridge erosion gaps - Reduce MIN_PIECE_LENGTH 50→30 to preserve short wall stubs - Add diagnose_walls.py instrumentation script - Add WALL_DETECTION_FIXES.md write-up Co-authored-by: Cursor <cursoragent@cursor.com>
- Add shared AuthLayout (two-column desktop, single-column mobile) - Redesign Sign In/Sign Up with premium card UI, icon inputs, show-password toggle, forgot-password stub, gradient CTA - Add CSS tokens for auth surfaces (--auth-surface, --auth-border, --auth-ring) - Add FloorPlanReveal component: 3-phase SVG stroke animation (horizontals → verticals → details) triggered by IntersectionObserver - Add useInViewOnce hook - Replace "Video Coming Soon" placeholder with animated floor plan Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
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CV pipeline