cv
A collection of pure-Rust computer vision libraries providing algorithms for photogrammetry, image processing, and pattern recognition.
What is cv?
Rust CV is a mono-repo of pure-Rust computer vision libraries that provide algorithms for image processing, photogrammetry, and pattern recognition. It encapsulates capabilities similar to OpenCV, OpenMVG, and vSLAM frameworks, offering tools for tasks like feature extraction, camera calibration, and 3D reconstruction without relying on machine learning.
Rust developers and researchers working on computer vision projects, particularly those needing photogrammetry, visual SLAM, or image processing in embedded or performance-sensitive environments.
It provides a cohesive, safe, and performant set of computer vision APIs entirely in Rust, with `#[no_std]` support, avoiding external dependencies and offering modern algorithms for geometric vision tasks.
Overview
Rust CV mono-repo. Contains pure-Rust dependencies which attempt to encapsulate the capability of OpenCV, OpenMVG, and vSLAM frameworks in a cohesive set of APIs.
Use Cases
Best For
- Implementing structure-from-motion (SfM) pipelines in Rust
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
