Vincentqyw/image-matching-webui

🤗 image matching webui

What it solves

It provides a unified graphical interface for matching keypoints between two images, eliminating the need to manually implement or configure dozens of different image matching algorithms separately.

How it works

Built with Gradio, the tool allows users to upload two images (from local files or a webcam) and select a specific matching algorithm from a comprehensive library. It leverages a backend based on Hierarchical-Localization (hloc) to execute these algorithms and visualize the resulting matches.

Who it’s for

Computer vision researchers, developers, and hobbyists who need to compare different image matching techniques or quickly find the best algorithm for a specific pair of images.

Highlights

  • Extensive Algorithm Support: Integrates a vast array of popular matchers including LoMa, RaCo, LightGlue, SuperGlue, LoFTR, and SIFT.
  • Flexible Input: Supports both local image uploads and real-time webcam captures.
  • Easy Deployment: Available via pip (pip install imcui), Docker, or directly as a Hugging Face Space.
  • Extensible: Includes guides and examples for adding custom feature extractors and matchers.

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