There are many alternatives to OpenCV for Linux if you are looking for a replacement. The best Linux alternative is SimpleCV, which is both free and Open Source. If that doesn't suit you, our users have ranked more than 10 alternatives to OpenCV and six of them are available for Linux so hopefully you can find a suitable replacement. Other interesting Linux alternatives to OpenCV are Accord.NET Framework, FastCV Computer Vision, BoofCV and libdwt.
SimpleCV is a Python interface to several powerful open source computer vision libraries in a single convenient package. With it, your software can have access to high level algorithms in feature detection, filtering, and pattern recognition in a unified framework.
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications...
FastCV will enable you to add new user experiences into your camera-based apps like:
gesture recognition face detection, tracking, and recognition text recognition and tracking augmented reality
BoofCV is an open source library written from scratch for real-time computer vision. Its functionality includes, low-level image processing, camera calibration, feature detection/tracking, structure-from-motion, fiducial detection, and recognition.
LandingLens Python SDK is a computer vision toolkit that makes it easy to acquire and process images, with seamless integration with LandingLens platform, a cloud no-code service for training and deploying computer vision AI models.
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