Simple Python package to convert an image into a quantized image using a customizable palette

Related tags

Image Processing python pypi actions pillow epaper waveshare
Overview

Image Quantizer

Simple Python package to convert an image into a quantized image using a customizable palette. Resulting image can be displayed by ePaper displays such as Waveshare displays.

Installation

It can be installed as a PyPi package

pip install --user image-quantizer

It can also be installed manually

git clone https://github.com/lobis/image-quantizer
cd image-quantizer
python3 setup.py install --user

Usage

from image_quantizer import quantize_image

with Image.open("tests/data/cliff.jpg") as image:
    quantized_image = quantize_image(image, palette=PALETTES["WAVESHARE-EPD-7COLOR"])
    quantized_image.save("cliffs-quantized.png")

input example image

quantized example image

Custom palette

from image_quantizer import quantize_image, PALETTES

# Existing palette names
print(PALETTES)

palette = [
    [0, 0, 0],  # white
    [255, 255, 255],  # black
    [0, 0, 255],  # blue
    [0, 255, 0],  # green
]

with Image.open("tests/data/cliff.jpg") as image:
    quantized_image_custom = quantize_image(image, palette=palette)
    quantized_image_custom.show()

quantized example image

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Comments
  • Extract palette colors as separate images

    Extract palette colors as separate images

    This is a very cool project, exactly what I was looking for. One request: Once the image has been converted to a specific palette, is there a way to export an image with each channel isolated separately?

    Some waveshare tri-color screens (looking at 7.5 white-black-red) need to be given 2 images. One to tell it where black goes and one to tell it where red goes. Could there be a way to extract the output of image-quantizer into those two images?

    opened by 8bitgentleman 2
Owner
Luis Obis
Luis Obis
GitHub
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