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.
🏠 Homepage
✨ Demo
pip install -r requirements.txt
./demo_superglue.py --input images/ --output_dir results --resize 320 240 --no_display
./match_pairs.py --viz
👤 Manyue Zhang
- Website: https://github.com/manyue-zhang
- Github: @manyue-zhang
- LinkedIn: @www.linkedin.com/in/manyue-zhang-5366b6236
Contributions, issues and feature requests are welcome!
Feel free to check issues page.
Give a ⭐️ if this project helped you!