03d2ff559a | ||
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test | ||
.gitignore | ||
2bit.py | ||
README.md |
README.md
Image downsampling converter
Inspired by 2bit
Usage: python3 2bit.py infile.png [outfile.png] [bits] [--per-color] [--dither dither_value] [--non-random-dither num_pixels]
You can change the number of bits for different results. 1 would be just black and white, while 8 would be the original image in greyscale.
dither_value can be like 50%
, 50
, .5
or auto
Note that using --non-random-dither
without a dither argument will attempt to guess what dither percentage you want based on the number of bits
The best number for num_pixels varies with the image. In general, the height of the image modulo num_pixels + 1 should not equal zero. Experiment with it. Using auto
will try to guess a good value such that you don't get horizontal bars, but it's not very good at it.
Warning: Will probably turn transparency black