hloc
A modular Python toolbox for state-of-the-art 6-DoF visual localization using hierarchical image retrieval and feature matching.
What is hloc?
hloc is a hierarchical localization toolbox that provides state-of-the-art 6-DoF visual localization by combining image retrieval and feature matching. It solves the problem of accurately determining a camera's position and orientation in a known environment using images, which is essential for applications like augmented reality, robotics, and 3D mapping.
Computer vision researchers, robotics engineers, and developers working on augmented reality or 3D reconstruction who need robust, scalable visual localization pipelines.
Developers choose hloc because it integrates years of academic research into a single, modular, and well-documented toolbox, supporting multiple leading algorithms and datasets while offering extensive customization and debugging capabilities.
Overview
Visual localization made easy with hloc
Use Cases
Best For
- Reproducing state-of-the-art results on visual localization benchmarks like Aachen Day-Night and InLoc
Related Projects
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