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Raster Tangles is an algorithm to generate pixel art doodles that mimic how I draw. See the Raster Tangles Guide for a full explanation.
Usage:
python -m tangles [OPTIONS] CONFIG_FILE OUTPUT_IMAGE
See Raster Tangles Config File for the JSON config file format.
This script takes a full-color image and reduces the color depth so only the most significant N bits of each color channel is kept. This can be used to create masks for Raster Tangles
Usage:
python -m pixelops bitcrush [OPTIONS] INPUT_IMAGE OUTPUT_IMAGE
Options:
| Option | Description |
|---|---|
-n/--num-bits N |
How many bits to keep in each color channel (counting from the most significant bit). Defaults to 1 |
This script scales up a pixel art image by an integer factor by repeating pixels.
Most image viewer programs use interpolation when displaying images, as this makes photos look nice. However, for pixel art, it makes everything look blurry. Upscaling a pixel art image helps minimize this problem.
Usage
python -m pixelops upscale INPUT_IMAGE OUTPUT_IMAGE SCALE_FACTOR
Example:
python -m pixelops upscale figures/stroke-fill-example.png figures/upscale-example.png 10
| Original | Zoom in (blurry) | upscale output |
|---|---|---|
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This script overlays a grid of black pixels on the image. I find this helpful for making cross-stitch patterns more readable. This works best on an upscaled image.
Usage:
python -m pixelops grid INPUT_IMAGE OUTPUT_IMAGE GRID_SPACING
Where GRID_SPACING is the integer number of pixels between each grid line.
Example:
python -m pixelops grid figures/upscale-example.png figures/grid-example.png 10
