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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
License
BSD LicenseUser Reviews
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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.
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Excellent library.
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Good for fast prototyping some image processing with high level API.
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Good
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A SourceForge treasure.