CVST

CVst is an open-source software library designed to support the development of computer vision applications and statistical analysis. The project aims to provide a modular, extensible toolkit for education, research, and rapid prototyping.

Core capabilities include image input and output, preprocessing and filtering, feature extraction, object detection and tracking, and integration with machine learning workflows. It also provides utilities for data visualization, benchmarking, and reproducible experiments.

Architecture and APIs: CVst employs a plugin-based architecture with a lightweight core and modular components. It offers a C++ API with bindings for Python and optional interfaces for other languages, and is designed to run on Windows, macOS, and Linux.

Development and licensing: CVst is maintained by a community of contributors who coordinate through a public repository and documentation. The project is released under an open-source, permissive license that enables use in research, education, and commercial software.

Impact and usage: CVst is used in academic settings for teaching and experiments, as well as in industry pilots and rapid prototyping of CV pipelines. Users value its modular design, broad functionality, and emphasis on reproducible workflows.

Related projects include OpenCV, scikit-image, and SimpleCV.