Turning 2D floor plans into 3D-ready JSON with Detectron2

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Hey HN, For the past few weekends, I have been working on a computer vision pipeline to solve a specific PropTech problem: turning messy, highly occluded 2D floor plans into clean, structured data for 3D extrusion. I originally built this as a demo for a firm. The Stack & Architecture I built an instance segmentation pipeline that relies strictly on pixel-perfect masking to extract the geometry. The Backbone: Swin Transformer + Detectron2 + OpenCV Training: Trained on 1024x1024 images using an RTX 4090. Inference: Runs on CPU in < 10s. Demo Performance: 67.1% AP50 for instance segmentation masks, and 38.2% AP across the strict 0.50:0.95 IoU thresholds. Why I'm posting: A lot of virtual staging and architectural startups have beautiful Three.js rendering engines, but still rely on manual data entry to build the base geometry. I built this specifically as an extraction engine to sit underneath those UIs. If you are in PropTech or building a product that could benefit from embedding this model under the hood, I would love to chat.

Visit product View on Hacker NewsFeb 26, 2026

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