liuliu/ccv
FreeC-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
FreeFree tier
About liuliu/ccv
ccv is a modern computer vision library written in C, designed for portability and minimal dependencies. It was created in 2010 with a focus on simplicity and easy deployment. It runs on Mac OSX, Linux, FreeBSD, Windows, iOS, Android, and Raspberry Pi. ccv implements state-of-the-art algorithms including image classification, frontal face detection, object detection for pedestrians and cars, text detection, object tracking, and feature point extraction. It features a built-in cache mechanism for transparent image preprocessing. The library is distributed under the BSD 3-Clause license.
Key Features
Portable across Mac OSX, Linux, FreeBSD, Windows, iOS, Android, and Raspberry Pi
Minimal dependencies; majority of library works with no compilation flags
State-of-the-art image classifier
State-of-the-art frontal face detector
Object detectors for pedestrians and cars
Text detection algorithm
Long-term general object tracking
Feature point extraction
Built-in cache mechanism for transparent image preprocessing
Clean, application-driven interface
Pros & Cons
Pros
- Easy to deploy due to minimal dependencies and simple code organization
- Runs on a wide variety of platforms and architectures
- Implements modern, state-of-the-art computer vision algorithms
- Transparent caching layer reduces redundant preprocessing
- Clean and minimalistic API design
- Permissive BSD-3 license allows commercial use
Cons
- Requires a BLAS library for convolutional network (deep learning) support
- Primarily C language, which may have a steeper learning curve for developers not familiar with C
- Limited deep learning capabilities compared to dedicated frameworks like TensorFlow or PyTorch
- Appears to have no recent releases or active maintenance visible on GitHub
Best For
Server-side computer vision deploymentMobile and embedded computer vision applicationsAcademic research and prototypingHobbyist computer vision projects