microsoft/YOLaT-VectorGraphicsRecognition
Source Code of NeurIPS21 and T-PAMI24 paper: Recognizing Vector Graphics without Rasterization
This project helps engineers and designers automatically identify elements within technical drawings like floor plans and diagrams. Instead of converting these vector graphics into blurry pixel images, it directly analyzes the underlying structural data. This allows for precise recognition of features and components, taking in the raw vector graphic files and outputting recognized objects and their characteristics.
101 stars. No commits in the last 6 months.
Use this if you need to precisely understand and extract information from vector-based technical drawings or schematics without losing detail to image rasterization.
Not ideal if your primary input is rasterized images (like JPEGs or PNGs) rather than native vector graphic files.
Stars
101
Forks
18
Language
Python
License
MIT
Category
Last pushed
Sep 11, 2025
Commits (30d)
0
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