Browse free open source Computer Vision Libraries and projects for Mac below. Use the toggles on the left to filter open source Computer Vision Libraries by OS, license, language, programming language, and project status.

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  • 1
    OpenCV

    OpenCV

    Open Source Computer Vision Library

    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
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    Downloads: 2,967 This Week
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  • 2

    IIDC Camera Control Library

    Capture and control API for IIDC compliant cameras

    libdc1394 is a library that provides a high level programming interface for application developers who wish to control and capture streams from IEEE 1394 based cameras that conform to the 1394-based Digital Camera Specifications (also known as the IIDC or DCAM Specifications). libdc1394 also supports some USB cameras that are IIDC compliant. Besides capture and control, libdc1394 provides a full set of colour space conversion functions (including RAW decoding), vendor specific functions and direct camera register access. Keywords: ieee1394, IIDC, DCAM, firewire, USB, machine vision, computer vision, video capture, library
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    Downloads: 160 This Week
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  • 3
    reacTIVision
    reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
    Downloads: 34 This Week
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  • 4
    CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.
    Downloads: 0 This Week
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  • 5
    The Data Fusion Peer is a multitier computer vision internet application. The system provides image processing, motion tracking, and visualization information. Application will convert data into 3-Deminsional and other digital environments.
    Downloads: 0 This Week
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  • 6
    Diglo is a Music Information Retrieval System based on Computer Vision and Audio Spectrum Analysis, using algorithmic operations to find emergent patterns in musical performance. Also it functions as a low-cost Motion Capture Analysis system.
    Downloads: 0 This Week
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  • 7
    Computer Vision library using GPU environment acceleration. Based on openCV and openGL
    Downloads: 0 This Week
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  • 8
    i3D-converter creates a 3D representation from a couple of images (or a pair of stereo images). This program also performs other Computer Vision operations such as, edge and corner detection, image filtering, getting geometric shapes,...
    Downloads: 0 This Week
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  • 9
    According to the CBS news report, "if you use a computer more than two hours a day, you could be suffering from Computer Vision Syndrome (CVS)". The project's main objective is making a software that will help us protect our eyes from CVS.
    Downloads: 0 This Week
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  • 10
    A C++ library of high level motion analysis/computer vision functions, coupled with GUIs that allow easy configuration and use. Current development focuses on color tracking, multiple camera calibration and triangulation, and 3D tracking algorithms.
    Downloads: 0 This Week
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  • 11
    The Java parallel to the popular Intel computer vision library, OpenCV. OpenJCV = Open Java Computer Vision
    Downloads: 0 This Week
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  • 12
    QVision: Computer Vision Library for Qt

    QVision: Computer Vision Library for Qt

    Computer vision and image processing library for Qt.

    This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library, Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc...
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    Downloads: 0 This Week
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  • 13
    Facis is a computer vision project based on OpenCV. It enables face detection and identification.
    Downloads: 0 This Week
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  • 14
    C++ library that implements basic data structures and algorithms for computer vision and image processing applications
    Downloads: 0 This Week
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  • 15
    ViKi (Virtual Interactive keyboard Interface) is a global framework that enables contactless human machine interaction using computer vision techniques. Only a simple webcam is sufficient to emulate traditional devices such as mouse and keyboard do.
    Downloads: 0 This Week
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  • 16
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.
    Downloads: 0 This Week
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