liuliu/ccv

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

7243 stars · 1704 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ccv is a modern, minimalist computer vision library written in C/C++ with an application-driven set of state-of-the-art algorithms including face detection, object detection and tracking, text detection, and feature extraction. It is highly portable and embeddable, running on nearly any platform with a C compiler and requiring almost no dependencies, with a built-in cache for transparent image preprocessing.

Use cases

• detect faces in images
• detect pedestrians and cars in images
• track objects over long-term video
• extract SIFT feature points from images
• detect text regions in natural images
• run convolutional network image classifiers
• embed computer vision in mobile or embedded apps

When to choose

• you need a dependency-light, easily deployable C computer vision library
• you target mobile or embedded platforms like iOS, Android, or Raspberry Pi
• you need battle-tested implementations of face detection, tracking, or feature extraction
• you want server-side integration with minimal build complexity

When to avoid

• you need the breadth of algorithms and ecosystem of OpenCV
• you want high-level Python-first APIs or extensive GPU acceleration out of the box
• you need cutting-edge deep learning models rather than classical CV plus ConvNet support

Facets

library · maturity active

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning windows cross-platform cpp c face-detection object-detection object-tracking text-detection sift convnet embeddable minimal-dependencies linux macos android ios

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