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A few other useful resources to play with convolutional kernels: * The linked demo really focuses only on layer 1. See Layers >=2 plotted here: http://arxiv.o
by choppaface 12y ago
A few other useful resources to play with convolutional kernels:
* The linked demo really focuses only on layer 1. See Layers >=2 plotted here: http://arxiv.org/pdf/1311.2901v3.pdf http://arxiv.org/pdf/1311.2901v3.pdf
* DeepViz is a nice tool: https://github.com/bruckner/deepViz https://github.com/bruckner/deepViz
* Another tool one can use to play with convolutional kernels is ShaderToy ( https://www.shadertoy.com/ https://www.shadertoy.com/ ). Here's a Gaussian blur: https://www.shadertoy.com/view/XdfGDH https://www.shadertoy.com/view/XdfGDH
* If you like playing with kernels in shaders, see also Brad Larson's GPUImage: ( https://github.com/BradLarson/GPUImage https://github.com/BradLarson/GPUImage ) -- the demo app has a bunch of standard kernels.
Just for fun, convolutional shader porn: https://www.shadertoy.com/view/4d2Xzc https://www.shadertoy.com/view/4d2Xzc
- Bjartr 12y agoI've always been a fan of the non-linear kernel Kuwahara filter https://www.shadertoy.com/view/lls3WM https://www.shadertoy.com/view/lls3WM http://en.wikipedia.org/wiki/Kuwahara_filter http://en.wikipedia.org/wiki/Kuwahara_filter
- ansgri 12y agoIt's the same as the bilateral filter, isn't it?