SimpleCV
applications. With it, you get access to several high-powered computer vision libraries such as OpenCV – without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy.
SimpleCV is an open-source framework for building computer vision applications. It is designed to make computer vision accessible to a wide audience, including hobbyists, students, and researchers. SimpleCV provides a simple interface for accessing and manipulating images, as well as a wide range of tools for image processing, feature detection, and machine learning.
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Citation Level
2009
English, etc
Website Key Features
Image Processing
SimpleCV provides a wide range of tools for image processing, including filters, transformations, and feature detection.
Machine Learning
SimpleCV includes support for machine learning algorithms, making it easy to train models for image classification and object detection.
Cross-Platform
SimpleCV is cross-platform and runs on Windows, Mac OS X, and Linux.
Easy to Use
SimpleCV is designed to be easy to use, with a simple interface and extensive documentation.
Community Support
SimpleCV has a large and active community of users and developers, providing support and contributing to the project.
Similar Sites and Competitors
Additional information
License
SimpleCV is released under the BSD license.
Development Status
SimpleCV is actively developed, with regular updates and new features.
Documentation
SimpleCV has extensive documentation, including tutorials, API references, and example code.
Source Code
The source code for SimpleCV is available on GitHub.
Contributing
SimpleCV welcomes contributions from the community, including code, documentation, and bug reports.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for simplecv.org