Increasing the width of intervals can make the pixelated effect more apparent, which is a good thing.You should generally keep the function for determining intervals and the function for sorting the same (ie: use hue for both, don't use hue for one and saturation for another).Sorting by lightness usually is the way to go.When you are satisfied, you can run the program on the original image. This will allow you to see what the parameters to do the image a lot faster, and will save you a lot of time.
I suggest that you test different parameters using a downsized version of the image first ( resize_factor = 6). You can edit the pixel sorting parameters in parameters.py. Pip install -requirement requirements.txt How to use If the correct threshold values are chosen, you can make some pretty cool images, like this! Afterwards, you sort the pixels within each interval by some criteria (ex: pixel intensity or saturation). Extreme flexibility, the outstanding efficiency and operational consumptions reduced to the minimum, make the investment amortisable over a very short. In pixel sorting, you first iterate through the image, and identify intervals of pixels that fall within a certain threshold for some value (ex: pixel intensity or hue). Versatility: Pixel' sorters can memorise countless specific programmes to process different products or prepare different processes for a same product depending upon the needs at the time. This is an art project that allows you to create glitchy looking images through pixel sorting.
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