This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages)(Learn how and when to remove this template message)
|Original author(s)||Andrew Kirillov|
|Initial release||December 21, 2006|
2.2.5 / July 17, 2013
|License||LGPLv3 and partly GPLv3|
Discontinuation of free public support and future development
On April 1, 2012, Andrew Kirillov announced the end of the public support for the library, temporarily closing the discussion forums. The last release of the AForge.NET Framework was made available on July 17, 2013. However, since its release 3.0 in 2015, the Accord.NET project started to incorporate most of the original AForge.NET source code in its codebase, continuing its support and development under the Accord.NET name.
The framework's API includes support for:
- Computer vision, image processing and video processing
- Including a comprehensive image filter library
- Artificial Neural networks library implements some common network architectures (multi-layer feed forward and distance networks) and learning algorithms (back propagation, delta rule, simple perceptron, evolutionary learning).
- Genetic algorithms, genetic programming and gene expression programming
- Fuzzy logic
- Machine learning
- and libraries for a select set of robotics kits
- Lego Mindstorms NXT and RCX kits
The framework is provided not only with different libraries and their sources, but with many sample applications, which demonstrate the use of this framework, and with documentation help files, which are provided in HTML Help format. A number of software applications and research works utilized the framework.
- List of numerical libraries for .NET framework
- Accord.NET - Computer vision and artificial intelligence library that extends AForge.NET.
- OpenCV - A popular C++ computer vision library.
- VXL - Another C++ computer vision library.
- CVIPtools - A complete GUI based computer vision and image processing software environment.
- OpenNN - An open source C++ neural networks library.
- "AForge.NET :: AForge.NET Framework celebrates its 5 years birthday".
- Greg Duncan. Portable Image and Video processing with help from AForge.NET and Accord.NET.  Channel 9, November 2014. Web extract
- Jesse Russell, Ronald Cohn (2012). AForge.NET. Tbilisi State University. ISBN 9785512346174. Archived from the original on 2018-11-26.CS1 maint: Uses authors parameter (link)
- Souza, César (20 May 2010). "Accord.NET Framework – An extension to AForge.NET". Archived from the original on 2018-11-26. Retrieved 2018-11-26.
- Peter Shaw (3 June 2015). "Computer Vision Using AForge.NET". .NET Nuts & Bolts. Code Guru. Archived from the original on 2018-11-26. Retrieved 2018-11-26.CS1 maint: Uses authors parameter (link)
- Andrew Kirilov. "Projects and applications using AForge.NET Framework". AForge.NET. Archived from the original on 2018-11-26. Retrieved 2018-11-26.CS1 maint: Uses authors parameter (link)
- "Universe Sandbox". Archived from the original on 2018-11-26. Retrieved 2018-11-26.
- "NeurApp, Exploring Approximation by Artificial Neural Networks". Archived from the original on 2018-11-26. Retrieved 2018-11-26.
- "iSpy: Open Source Video Surveillance Software". Retrieved 2018-11-26.
- S M Hassan Ahmed, Todd C Alexander, Georgios Anagnostopoulos (May 2015). "Real-time, Static and Dynamic Hand Gesture Recognition for Human-Computer Interaction". University of Miami. Archived from the original on 2018-11-26. Retrieved 2018-11-26.CS1 maint: Uses authors parameter (link)
- Suraj Verma, Prashant Pillai, Yim-Fun Hu (2012). "Development of an eye-tracking control system using AForge.NET framework". Int. J. Intelligent Systems Technologies and Applications, Vol. 11. 11 (3/4): 286. Archived from the original on 2018-11-26. Retrieved 2018-11-26.CS1 maint: Uses authors parameter (link)
- A. MeenaK. Raja (2012). K-Means Segmentation of Alzheimer's Disease in Pet Scan Datasets – An Implementation. Nternational Joint Conference on Advances in Signal Processing and Information Technology. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 117. pp. 168–172. doi:10.1007/978-3-319-11629-7_24. ISBN 978-3-319-11628-0.CS1 maint: Uses authors parameter (link)
|This computer-library-related article is a stub. You can help Wikipedia by expanding it.|