Skip to main content

Palette detection from images.

Project description

Image palette detection in Python modelled after Paul Annesley’s color detector in PHP. palette_detect determines what the most important colors used in your image are, and if one of them is a background color.

by Dennis Hotson & Lars Yencken

Usage

palette_detect is meant to run in a streaming manner. You can run it on a single image by echo’ing in the image:

$ echo myimage.png | palette_detect
myimage.png #3e453f,#2ea3b7,#bee6ea,#51544c,#373d38 #ffffff

Each input line should be a filename. Each output line will be a tab-delimited string containing the filename, major colors in order, and (optionally) a detected background color.

To run on an entire directory tree of images:

$ find . -name '*.jpg' | palette_detect

palette_detect has an experimental multiprocessing mode, accessed by the -n argument. For example, to run the same example using 8 processes:

$ find . -name '*.jpg' | palette_detect -n 8

You can also get usage information by running palette_detect –help.

Project details


Download files

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

Source Distribution

palette_detect-0.2.0.tar.gz (4.6 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page