Showing 10 open source projects for "image processing framework"

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  • 1

    OpenRTDynamics

    A framework for implementing real-time control systems

    - - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides...
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  • 2
    Drone WayPointer

    Drone WayPointer

    A ROS package to remotely control the Parrot AR Drone 2.0

    "Drone WayPointer" is a ROS package that provides a UI to allow for remote control of the Parrot AR Drone 2.0. It is developed in C++ with qt-ros and the Qt4 Development FrameWork. It is designed to work with the ROS - Fuerte and it uses the the ardrone_autonomy driver (Fuerte-devel Branch). It has so far only been tested on the tum_simulator and not on the actual drone. The main functionalities it provides is camera streams of front or bottom cameras of the drone, button and slider control of the drone XYZ velocities, control using waypoints and waypoint commands, pose estimation using simple dead-reckoning and measurement and image recording functionalities.
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  • 3
    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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  • 4
    FraDIA
    Framework for Digital Image Analysis
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  • 5
    An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
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  • 6

    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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  • 7
    The free-vision project aims at creating a library for computer vision related functions, including camera capture interface, stereo, image processing, camera calibration and so on.
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  • 8
    RoboRealm Extensions are plugins to the RoboRealm application that allow you to extend RoboRealm in whatever way you need. RoboRealm is a powerful computer vision based application for use in machine vision, image analysis, and image processing systems.
    Downloads: 1 This Week
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  • 9
    The Stanford Robotics Toolkit. An extensive, plugin-based architecture supporting the simulation and implementation of robotics algorithms. Designed for research purposes, the framework features a processing environment, a 3D GUI, and a CARMEN interface.
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  • 10

    KinectStreamer

    Streams data from 3D cameras over a network.

    This is an application that streams data from the Microsoft Kinect or cameras like it over a network. The program is Intended to be used in robotics applications where the controller cannot use such cameras directly due to hardware/software limitations--such as lacking usb ports or appropriate drivers--or in situations where the camera is not in close proximity to the device that needs to access it. Given that the controller can accept data from over the network, another embedded controller...
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