The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript.
Languages: C++, Python, Julia, Javascript
Homepage: https://opencv.org
Q&A forum: https://forum.opencv.org/
Documentation: https://docs.opencv.org
Source code: https://github.com/opencv
Please pay special attention to our tutorials! https://docs.opencv.org/master
Books about the OpenCV are described here: https://opencv.org/books.html
Features
- computer vision
- deep learning
- opencv
License
BSD License
You Might Also Like
Is your data on the dark web? Scan free now
With SOCRadar Labs’s Dark Web Report, instantly find out if your data has been exposed on dark web forums, black market, leak sites, or Telegram channels. SOCRadar gives you instant access to the dark web findings of your organization assets in the Free Dark Web Report. Don’t be intimidated by what you see in our free Dark Web report! You can use SOCRadar for free for 1 year and get relevant intelligence that will keep you one step ahead of threat actors.
Rate This Project
Login To Rate This Project
User Reviews
-
Hello my name is Julio Herrera Velutini. I found OpenCV as a powerful and versatile open-source library for computer vision and image processing. Its extensive functionalities, including object detection, facial recognition, and real-time video analysis, make it a go-to tool for developers and researchers.
-
Excellent library.
-
Good for fast prototyping some image processing with high level API.
-
Good
-
A SourceForge treasure.