https://github.com/healeycodes/artisan-pixelation

Inspired by Kensuke Koike's real life pixelation art, this program which performs an approximation of his 'Avatar' piece.
https://github.com/healeycodes/artisan-pixelation

Last synced: about 1 year ago
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Inspired by Kensuke Koike's real life pixelation art, this program which performs an approximation of his 'Avatar' piece.

• Host: GitHub
• URL: https://github.com/healeycodes/artisan-pixelation
• Owner: healeycodes
• Created: 2018-08-08T18:02:00.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-12-01T21:01:49.000Z (over 7 years ago)
• Last Synced: 2024-10-05T17:42:19.543Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 4.25 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
### artisan pixelation




Inspired by Kensuke Koike's real life pixelation art, this program which performs an approximation of his [Avatar](https://www.youtube.com/watch?v=U1KiC0AXhHg) piece.

![Avatar by Koike](https://github.com/healeycodes/artisan-pixelation/blob/master/images/avatar-kensuke-koike.png)

* `pip install requirements.txt`

* `python image.png side-by-side.py` The first argument should be an image.

* `--resolution 22` (optional arg) How many blocks you want to break the image into

* `--density 4` (optional arg) How little of the image you want to remain - higher is more destruction.

The resulting image will be saved as `combined.png`. You can use `Image.show()` for testing and a temporary image will be opened in a default program. See the [Pillow docs](https://pillow.readthedocs.io/en/5.2.x/) for more. Only tested with Python 3.5 and up.

### Examples

1.

![George Washington](https://github.com/healeycodes/artisan-pixelation/blob/master/images/g-wash-processed.png)

2.

![Girl With a Pearl Earing](https://github.com/healeycodes/artisan-pixelation/blob/master/images/girl-processed.png)

3.

![Mona Lisa](https://github.com/healeycodes/artisan-pixelation/blob/master/images/mona-processed.png)




Thanks to https://www.kensukekoike.com.