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Image Transformer

Image Transformer is a CLI tool and a python module that can do two things:

  • Reads a .png image and generate a scalable .svg version of that image based on a hexagonal, triangular or square grid (or any other grid you which to implement).
  • Generate a svg image from a color palette with the grid of your choice.

The a scalable .svg version generated or transformer can be used as a high-resolution wallpaper.

Install

pip install image-transformer

How to use as a CLI tool ?

The transform command

Command to transform an image using specified processors and save the output. This command allows you to transform an image using various processors for the image, pixels, and output. The transformed image is then saved to the specified output directory.

image-transformer transform mona-lisa.png

Below all the available parameters:

Parameter Is Required Default Description
--image-path Yes Specify the path to the image to be transformed.
--image-processor Yes hexagonal Type of grid to use (options: hexagonal, square, triangle).
--pixels-processor Yes most-frequent Specify the pixels processor to use (options: random, most-frequent, average, etc).
--output-builder Yes cairo-svg Specify the output builder to use.
--size Yes 10 Size of the grid cells. Default is 10.
--output-directory Yes ./ Specify the directory where the output image will be saved.
--verbose/--no-verbose No True Enable or disable verbose output.

Note: for more details about all the available params use the following command: image-transformer transform --help.

Assuming you have an file in the same directory from where you are running the command named mona-lisa.png containing an image.

The generate command

Generate an image with specified dimensions, colors, and processing options.

image-transformer generate --width 200 --height 100

Below all the available parameters:

Parameter Is Required Default Description
--image-processor Yes hexagonal Type of grid to use (options: hexagonal, square, triangle). Default is hexagonal.
--size Yes 10 Size of the grid cells. Default is 10.
--width Yes 100 Specify the width of the generated image.
--height Yes 100 Specify the height of the generated image.
--hex-color Yes A random color palette Specify the hex color code for the image background.
--output-builder Yes cairo-svg Specify the output builder to use.
--output-directory Yes ./ Specify the directory where the output image will be saved.
--verbose/--no-verbose No True Enable or disable verbose output.
--help No Show help message and exit.

Note: for more details about all the available params use the following command: image-transformer generate --help.

How to use in a program ?

Example usage:

from PIL import Image

from image_transformer import ImageTransformer
from image_transformer.output_builders import CairoSvgOutputBuilder
from image_transformer.image_processors import HexagonalGridImageProcessor
from image_transformer.pixels_processors import MostFrequentPixelsProcessor

def main():
    hexagon_size = 13
    output_image_path = "result.svg"
    # NOTE: assuming the image exists
    my_image_path = "./mona-lisa.png"

    image = Image.open(my_image_path)

    transformer = ImageTransformer.from_pil_image(image)

    output_builder = CairoSvgOutputBuilder(image.width, image.height, output_image_path)
    image_processor = HexagonalGridImageProcessor(hexagon_size)
    pixels_processor = MostFrequentPixelsProcessor()

    transformer.transform_and_save(
        image_processor=image_processor,
        pixels_processor=pixels_processor,
        output_builder=output_builder
    )

if __name__ == "__main__":
    main()

Examples

Image Transformation

Original Image Hexagonal SVG Version
Original Image Generated SVG
Original Image Generated SVG

Image Generation

Generated Image
Generated SVG

Development and Contributions

Below are notes for development only. You don't need to give it a look unless you want to contribute or build your own library.

Materials & Notes:

This are for people who want to dig in hexagonal grids & know how to deal with it. Ignore if you only want to use the tool.

Docs Building Notes

  • poetry add sphinx --dev: to install sphinx.
  • poetry run sphinx-apidoc -o docs/ image_transformer/: to generate the .rst files for each module. This command should be run each time you have a new module or there is some changes in one of your modules.
  • poetry run sphinx-build -b html docs docs/_build: to build the documentation. Each time there is a change.

Upload to Pypi

  • poetry config http-basic.pypi __token__ <api-toke>: to specify your pipy credentials.
  • poetry build: build the project.
  • poetry publish: to publish the builded project into pypi.

About Poetry

Poetry Scripts Section:

It looks like there is a desire for developer/project specific helper scripts, but that's not what [tool.poetry.scripts] is for. As mentioned, scripts are entrypoints into a python packages. This section's purpose is for libraries to install useful command line tools. Libraries like pytest, poetry, and the aws cli would use this scripts section so you can call their tool from the command line.

Reason why they don't add a dev-scripts section.

[ ] Poetry support multi language ?

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This repository contains a python cli tool to convert images into an svg hex representation

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