https://github.com/c0bra/website-palette-extractor
Extract a palette of colors from a website using Machine Learning
https://github.com/c0bra/website-palette-extractor
Last synced: over 1 year ago
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Extract a palette of colors from a website using Machine Learning
- Host: GitHub
- URL: https://github.com/c0bra/website-palette-extractor
- Owner: c0bra
- Created: 2018-06-04T21:05:31.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-06-04T22:26:45.000Z (about 8 years ago)
- Last Synced: 2025-02-14T03:14:51.024Z (over 1 year ago)
- Language: JavaScript
- Size: 38 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# website-palette-extractor
# Data Points
1. Color of each pixel within viewport (assumes colors on rest of page will not be more important than colors in viewport)
* Needs consistent resolution. gowitness uses 1400x900
2. Primary color(s) of image in top-left or top-right quadrant.
* This would be a logo, most likely.
* Maybe choose first image on page? Or first image of X size?
* How many colors? Two?
3. Text color?
4. Background color of 2-4 buttons
# List of Websites
* google.com
*