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

Project Samples

Project Activity

See All Activity >

License

BSD License

Follow OpenCV

OpenCV Web Site

You Might Also Like
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
114
1
0
0
8
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5

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.
Read more reviews >