#232 · Primary category: Computer Vision

cv

algorithms computer-vision crates rust-cv

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.

Project last updated:07/22/25

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Why we included this project

Developers doing geometry-heavy computer vision in Rust have a genuine alternative to binding into OpenCV. The mono-repo gathers pure-Rust crates covering camera models, feature detection and description, geometric estimation, multi-view triangulation, and structure-from-motion. That covers photogrammetry, pose estimation, SLAM-style pipelines, and 3D reconstruction. Each crate is an independent dependency with its own documentation, so you can pull in just the eight-point algorithm or the Akaze feature detector instead of adopting a whole framework. The tutorials and the batteries-included `cv` crate help get a first pipeline running quickly. This is not a deep-learning library; it targets the traditional algorithmic layer rather than neural networks and GPU inference.

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