Showing 3 open source projects for "neural network visualiser"

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    pngnq-s9

    A modified pngnq: convert png images to 256 colours.

    pngnq-s9 is a modified version of pngnq, the neural network colour quantizer for png images. Like pngnq, pngnq-s9 takes a full 32 bit RGBA png image, selects a palette of up to 256 colours, and then redraws the image in 8 bit indexed mode. The resulting image can be up to 70% smaller than the original. pngnq-s9 adds several new options to pngnq including the ability to augment a user-supplied palette, the ability to quantize in the YUV colour space, and the ability to give more or less weight to specific colour components when quantizing. ...
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    Downloads: 0 This Week
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  • 2
    Foad (EKG Processing)
    ...Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower the final costs.
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  • 3
    openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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