Hi, I have a question or two about @josh_beckwith 's Convolution patches in on github: https://github.com/positlabs/spark-convolution-patch
- What is fastest and lightest blur patch (performance-wise) to use as a fast blur?
- What is the ranking from the lightest to the most resource for convolution type? regardless the 3, 5 and so on. since the documentation already said “Numbers in the patch names signify the size of the kernel that is used. Lower is better for performance, higher is better for quality.”.
- What other image processing that we can do using convolution beside edge detection, sharpening, and blurring? Is there any other implementation that we can do with it or not? So I can try to google it and learn.