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ozturkoktay/floor-plan-room-segmentation

A deep learning-based approach for semantic segmentation of floor plans, utilizing U-Net with a ResNet encoder. The model classifies key components such as rooms, walls, doors, and windows, enabling structured understanding of architectural layouts.

语言:Jupyter Notebook · GitHub 星标:57 · Fork:7

话题:image-processing · image-segmentation

在 GitHub 上查看原仓库

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