cvg/glue-factory

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1140 stars · 157 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Glue Factory is a PyTorch-based library for training and evaluating deep neural networks that detect and match local visual features (points and lines) in images. It supports reproducing state-of-the-art models like LightGlue and GlueStick, training on custom datasets, and benchmarking on standard datasets such as HPatches and MegaDepth-1500.

Use cases

• train a local feature matcher for image matching
• reproduce LightGlue or GlueStick training
• evaluate feature extractors on HPatches benchmark
• train feature matching models on my own dataset
• match keypoints and lines between images with deep learning
• benchmark SuperPoint-style feature detectors
• train a model for visual localization feature matching

When to choose

• you need to train or fine-tune deep local feature detectors or matchers
• you want reproducible state-of-the-art point/line matching models like LightGlue
• you need standardized benchmarking (HPatches, MegaDepth-1500) for feature matching
• you work in PyTorch and want auto-downloading models and datasets

When to avoid

• you only need off-the-shelf inference without training - use LightGlue or GlueStick repos directly
• you need non-PyTorch frameworks or non-deep-learning classical feature matching (e.g. SIFT/ORB via OpenCV)
• you require permissive licensing for bundled third-party models like original SuperPoint or SuperGlue, which carry restrictive licenses

Facets

library · maturity active

machine-learning deep-learning computer-vision image-processing benchmarking computer-vision deep-learning machine-learning image-processing python cross-platform feature-matching feature-detection lightglue gluestick superpoint pytorch image-matching training-library hpatches megadepth gpu linux macos

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markdown · JSON · MCP: product_card(name="cvg/glue-factory")