Visit official AForge.NET Framework's website for all the latest information about the project.
AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
The framework is comprised by the set of libraries and sample applications, which demonstrate their features:
AForge.Imaging - library with image processing routines and filters; AForge.Vision - computer vision library; AForge.Neuro - neural networks computation library; AForge.Genetic - evolution programming library; AForge.Fuzzy - fuzzy computations library; AForge.MachineLearning - machine learning library; AForge.Robotics - library providing support of some robotics kits; AForge.Video - set of libraries for video processing etc. The work on the framework's improvement is in constants progress, what means that new feature and namespaces are coming constantly. To get knowledge about its progress you may track source repository's log or visit project discussion group to get the latest information about it.
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. The documentation is also available on-line.
In the case you have found an issue in any component of the framework or you would like to request for a new feature, you may feel free to submit an issue/request in the issues tracking system.
In case you are interested in the project and would like to learn more about it or in case you would like to contribute it, you are more than welcome to participate in the project's discussion group.
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。
Activity
Community
Health
Trend
Influence
:Code submit frequency
:React/respond to issue & PR etc.
:Well-balanced team members and collaboration
:Recent popularity of project
:Star counts, download counts etc.