OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
For more information check OpenCV.org
This respository contanins programs using OpenCV3 for different applications
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
- Python 3
- A computer with OSX, Windows, Linux
- Anaconda
Alternative:
- Processing
- Raspberry
- Check this link to install Python 3
- Install the last stable version of Anaconda for Python 3.6
- Check this link to install OpenCV3 once you had already installed Anaconda
Please read CONTRIBUTING.md for details of the code of conduct, and the process for submitting pull requests to us.
I use SemVer for versioning.
Antonio Vega Ramirez:
This project is licensed under CC License - see the LICENSE.md file for details