Showing 6 open source projects for "usb linux mint"

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    NOTE: Use of this codebase is NOT RECOMMENDED. This project has been migrated to github at http://jaerproject.net (or https://github.com/SensorsINI/jaer for the Java code). Commits have been disabled for the subversion sourceforge repository and new development is being done on the github repository. Java tools for Address-Event Representation (AER) neuromorphic processing. Uses USB hardware. See wiki at https://sourceforge.net/p/jaer/wiki/
    Downloads: 0 This Week
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  • 2
    SwisTrack 4 is a powerful software for tracking robots, humans, animals and objects using a camera or a recorded video as input source. It contains interfaces for USB, FireWire and GigE cameras, as well as AVI files.
    Downloads: 6 This Week
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  • 3
    MintMCScanX

    MintMCScanX

    Your personal MCScanX enabled Linux

    MintMCScanX is a lightweight linux virtual OS based on Mint OS xfce Rebecca. MinMCScanX comes with inbuilt installed MCScanX with all its dependencies and examples. It also harbors apache to enable developers evolve there imagination for creating custom pipelines and servers based on MCScanX. You just have to add the image file in Virtualbox and you are ready to go.
    Downloads: 0 This Week
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  • 4

    eHealth Charter

    GUI for the coocking hacks eHealth

    GUI for the cooking hacks eHealth Biomedic Sensor Platform. It reads the data through the USB.
    Downloads: 0 This Week
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  • 5
    Used to record and analyze some behavioural experiments in neuroscience (using usb webcam). it was developed in collaboration with neuropharmacology lab at Faculty of Medicine, Ain Shams University. it can use(JMF,OpenCV,JMyron & AGCamLib) for webcam
    Downloads: 0 This Week
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  • 6

    noise-free-cnv

    program for analyzing and manipulating DNA microarray data

    CNV calling software may produce false-positive calls due to imperfect source material. Direct inspection of the microarray data with the noise-free-cnv software helps to appreciate the quality of the data and to identify artificial calls. With noise-free-cnv it is possible to visualize individual datasets, to compare different datasets and to perform simple transformations. The visualization and the suppression of genomic waves, the comparison of two datasets by subtraction and the...
    Downloads: 0 This Week
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