cvg/LightGlue

Health v2 · maintenance only

Adoption not part of the score

4728 stars · 553 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LightGlue is a deep neural network library that matches sparse local features across image pairs with high accuracy and fast inference. It takes keypoints and descriptors as input and returns corresponding point indices, using adaptive pruning of network width and depth.

Use cases

• match keypoints between two images
• estimate camera pose from image pairs
• find corresponding points for 3D reconstruction
• run fast feature matching for visual localization
• match SuperPoint or DISK features in Python
• build image stitching or SLAM pipelines

When to choose

• you need accurate sparse feature matching with fast inference
• you already extract keypoints with SuperPoint, DISK, ALIKED, or SIFT
• you want a research-grade matcher with pretrained weights and PyTorch integration

When to avoid

• you need dense pixel-wise matching rather than sparse keypoints
• you cannot use a GPU or PyTorch in your environment
• you need training code, which lives in the separate glue-factory library

Facets

library · maturity stable

deep-learning computer-vision image-processing machine-learning computer-vision deep-learning machine-learning python cross-platform feature-matching image-matching pose-estimation transformers superpoint inference gpu

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For agents

markdown · JSON · MCP: product_card(name="cvg/LightGlue")