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This project uses the model from the paper SuperGlue: Learning Feature Matching with Graph Neural Networks and builds on it to implement an analysis of the images returned by the Hand-Up Display. In this project, significant results have been achieved on challenging "complex" geometric images.

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manyue-zhang/Superglue-based-image-analysis

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Welcome to Superglue based image analysis 👋

Version Documentation

This project uses the model from the paper SuperGlue: Learning Feature Matching with Graph Neural Networks and builds on it to implement an analysis of the images returned by the Hand-Up Display. In this project, significant results have been achieved on challenging "complex" geometric images.

Demo

Install

pip install -r requirements.txt

Usage

./demo_superglue.py --input images/ --output_dir results --resize 320 240 --no_display

Run tests

./match_pairs.py --viz

Author

👤 Manyue Zhang

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

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About

This project uses the model from the paper SuperGlue: Learning Feature Matching with Graph Neural Networks and builds on it to implement an analysis of the images returned by the Hand-Up Display. In this project, significant results have been achieved on challenging "complex" geometric images.

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