Vincentqyw/image-matching-webui
A Gradio-based web interface for running multiple deep learning-based image matching algorithms on image pairs or webcam feeds.
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Image Matching WebUI (IMCUI) provides a graphical interface to apply various computer vision algorithms for matching keypoints between two images. The project integrates several state-of-the-art deep learning models including SuperPoint, SuperGlue, LightGlue, LoFTR, TopicFM, and ASpanFormer for feature detection, description, and matching. Users can select images from local files or a webcam, choose an algorithm, and visualize the matching results with overlaid keypoints and correspondences.
Frequently asked
- What is Vincentqyw/image-matching-webui?
- A Gradio-based web interface for running multiple deep learning-based image matching algorithms on image pairs or webcam feeds.
- Is image-matching-webui open source?
- Yes — Vincentqyw/image-matching-webui is open source, released under the Apache-2.0 license.
- What language is image-matching-webui written in?
- Vincentqyw/image-matching-webui is primarily written in Python.
- How popular is image-matching-webui?
- Vincentqyw/image-matching-webui has 1.3k stars on GitHub.
- Where can I find image-matching-webui?
- Vincentqyw/image-matching-webui is on GitHub at https://github.com/Vincentqyw/image-matching-webui.