https://github.com/skekre98/picture-compressor

A tool for compressing images using unsupervised machine learning
https://github.com/skekre98/picture-compressor

kmeans-clustering scikit-learn

Last synced: 1 day ago
JSON representation

A tool for compressing images using unsupervised machine learning

• Host: GitHub
• URL: https://github.com/skekre98/picture-compressor
• Owner: skekre98
• License: mit
• Created: 2019-05-15T22:38:22.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-11-19T00:33:50.000Z (about 4 years ago)
• Last Synced: 2024-11-21T17:37:30.833Z (2 months ago)
• Topics: kmeans-clustering, scikit-learn
• Language: Python
• Size: 569 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Picture-Compressor

A tool for compressing images using unsupervised machine learning

## K-means Clustering

K-means is an unsupervised algorithm that makes inferences from datasets using only input vectors without referring to known, or labelled, outcomes. K-means algorithm identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible. In reference to this tool, your k centroids are the number of colors that are selected are majority colors. For example, if k were to be 5, then the five most prominent colors would show up in your compressed image. 

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details

## Dependencies

Runs on Python 3.6+

* [NumPy](https://www.numpy.org) - package for scientific computing with Python

* [Pillow](https://pillow.readthedocs.io/en/stable/) - Python Imaging Library

* [scikit-learn](https://scikit-learn.org/stable/) - machine learning library for implementing KMeans

## Usage

```

python compress.py [image file]

```