Skip to main content

python wrapper for basic c implementation of kmeans

Project description

kmeans

https://travis-ci.org/numberoverzero/kmeans.png?branch=master

python wrapper for a basic c implementation of the k-means algorithm.

Installation

pip install kmeans

Usage

import kmeans
means = kmeans.kmeans(points, k)

points should be a list of tuples of the form (data, weight) where data is a list with length 3.

For example, finding two mean colors for a group of pixels:

pixels = [
    [(15, 20, 25), 1],  # [(r,g,b), count]
    [(17, 31, 92), 5],
    # ... Lots more ...
]

mean_pixels = kmeans.kmeans(pixels, 2)

In this case, the weights passed in may be the frequency of the pixels occuring in an image, or some preference to pull the means towards a color.

Inspiration

http://charlesleifer.com/blog/using-python-to-generate-awesome-linux-desktop-themes/

I wanted to apply the implementation there to images much larger than 200x200. Running a 4k x 3k image was approaching 60 seconds on a nice computer, so I decided to rewrite the kmeans implementation in c.

http://opensource.org/licenses/MIT Copyright (c) 2014 Joe Cross

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Release history Release notifications

History Node

1.0.2

History Node

1.0.1

History Node

1.0.0

History Node

0.3.2

History Node

0.3.1

This version
History Node

0.3.0

History Node

0.2.2

History Node

0.2.0

History Node

0.1.1

History Node

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
kmeans-0.3.0.tar.gz (3.7 kB) Copy SHA256 hash SHA256 Source None Jun 13, 2014

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page