# rust-cv/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.

Repository: https://github.com/rust-cv/cv
Canonical: https://ross.abutalabs.com/products/rust-cv-cv
Language: Rust
License Family: other
Topics: rust-cv, computer-vision, algorithms, crates
Last push: 2025-07-22T21:30:28+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 33, release rhythm 35, longevity 100
- inputs: {"age_days": 2342, "days_push": 407, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1063, forks 70 (observed 2026-08-28T04:03:26.383523+00:00)

## What it is
Rust CV is a mono-repo of pure-Rust computer vision crates aiming to encapsulate capabilities of OpenCV, OpenMVG, and vSLAM frameworks in cohesive APIs. It supports #[no_std] where possible and focuses on non-ML algorithms like image processing and photogrammetry.

## Use cases
- implement computer vision algorithms in pure Rust without OpenCV dependencies
- build embedded or no_std computer vision applications
- perform photogrammetry and camera calibration tasks in Rust
- replace OpenCV with a Rust-native set of vision APIs
- learn computer vision through a Rust tutorial book

## When to choose
- you want pure-Rust computer vision with no C++ bindings
- you need no_std support for embedded vision work
- you prefer statistical/geometry-based algorithms over ML-heavy approaches

## When to avoid
- you need mature ML-based vision models like CNNs or face detection out of the box
- you need the full breadth and maturity of OpenCV
- you require a permissively unified license, since crates have individual licenses

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, image-processing
- domain: computer-vision, image-processing
- platform: rust, cross-platform
- tags: no-std, photogrammetry, mono-repo, pure-rust, opencv-alternative

## Member repositories
- rust-cv/cv (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:26.383523+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:56:40.912511+00:00, confidence not recorded.
  - readme: https://github.com/rust-cv/cv (fetched 2026-08-28T04:03:26.383523+00:00, sha 99690d2af5ff)
  - registry_crates: https://crates.io/api/v1/crates/cv (fetched 2026-08-29T12:58:03.624614+00:00, sha 7ae7efa3fdb2)
- Data as of 2026-08-30T08:39:29.467469+00:00.