Search Results for "open source assembly software source code" - Page 4

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Showing 82 open source projects for "open source assembly software source code"

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  • 1

    HornetsEye Ruby Computer Vision Library

    Ruby computer vision library

    Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information).
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  • 2
    The CVR-Lib (Computer Vision and Robotics Library) is a C++ object oriented library for computer vision. It provides lots of functionality to solve mathematical problems, many image processing and analysis algorithms, classification tools, and much more.
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  • 3
    Proposed is an algorithm that uses computer vision, combined with a modified Rubine classifier, to allow arbitrary N-sided polygons as accepted sketches in real-time.
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  • 4
    The webcam computer vision (WCCV) project focuses on computer vision algorithms and systems that follow the web cam paradigm: cheap, robust and efficient. The project comprises designs, patterns, code, tutorials and examples.
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  • 5
    Computer Vision Software designed for AttyTheWalker, a made from scratch hexapod robot. Entirely developed in C language for GNU/Linux platforms it's the best way to move the robot using a personal computer with RS-232 serial communication.
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  • 6
    Monk Computer Vision

    Monk Computer Vision

    A low code unified framework for computer vision and deep learning

    Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms
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  • 7
    A software to implement the existing stereo matching algorithms in computer vision, including the easiest SSD, and the newest algorithms.
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