Browse free open source Capture software and projects below. Use the toggles on the left to filter open source Capture software by OS, license, language, programming language, and project status.

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  • 1
    GLFFmpeg uses the video recording functionality provided by the FFmpeg library to capture content generated using OpenGL. The cross-platform library provides a minimalistic set of API to simplify the task of capturing OpenGL output to a video stream. GNU Lesser General Public License version 2.1 (LGPLv2.1)
    Downloads: 9 This Week
    Last Update:
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  • 2
    A tool for finding missing or corrupt images in a sequence. Also generates basic statistics from Exif data. Targeting time-lapse and render-farm users when using post-processing tools such as After Effects.
    Downloads: 1 This Week
    Last Update:
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  • 3
    BuGLe combines a graphical OpenGL debugger with a selection of filters on the OpenGL command stream. The debugger allows viewing of state, textures, framebuffers and shaders, while the filters allow for logging, error checking, video capture and more.
    Downloads: 1 This Week
    Last Update:
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  • 4
    The WaterWorks - a realtime compositing system
    Downloads: 1 This Week
    Last Update:
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  • 5
    Application to capture and trace the OpenGL calls made by any Win32 application. Aims at providing, 1. the ability to log OpenGL calls in Text format (as callstack) 2. the ability to capture the actual frame content (as bitmaps)
    Downloads: 0 This Week
    Last Update:
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  • 6
    The MXRToolkit consists of a library of routines to help with all aspects of building mixed reality applications. As an application of MXRToolkit, 3DLive can be used for capturing live 3d virtual viewpoint and putting live humans in mixed reality.
    Downloads: 0 This Week
    Last Update:
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  • 7
    Motion Capture Data Acquisiton Tool

    Motion Capture Data Acquisiton Tool

    Human body movement data acquisition, processing and visualization

    The tool allows for data acquisition from triads of accelerometers, angular rate sensors and magnetometers to be transformed into human body movements. There are different SW blocks including: unit interconnection, data calibration, data processing and visualization. The data are calibrated by six-position test or two-step algorithm and processed by Extended Kalman Filter or Unscented Kalman Filter. The final data are fitted to the human body model including its limitations and the visualization is performed in OpenGL. System function is illustrated by: http://www.youtube.com/watch?v=Tpy9Vtelppk .
    Downloads: 0 This Week
    Last Update:
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  • 8