Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

A cross-platform, OpenCV-based video scene detection program and Python library.

Project description

Documentation: http://pyscenedetect.readthedocs.org/

Github Repo: https://github.com/Breakthrough/PySceneDetect/

https://readthedocs.org/projects/pyscenedetect/badge/?version=latest https://img.shields.io/github/stars/Breakthrough/PySceneDetect.svg?style=social&label=View%20on%20Github

PySceneDetect is a command-line tool, written in Python and using OpenCV, which analyzes a video, looking for scene changes or cuts. The output timecodes can then be used with another tool (e.g. mkvmerge, ffmpeg) to split the video into individual clips. A frame-by-frame analysis can also be generated for a video, to help with determining optimal threshold values or detecting patterns/other analysis methods for a particular video.

There are two main detection methods PySceneDetect uses: threshold (comparing each frame to a set black level, useful for detecting cuts and fades to/from black), and content (compares each frame sequentially looking for changes in content, useful for detecting fast cuts between video scenes, although slower to process). Each mode has slightly different parameters, and is described in detail in the documentation.

In general, use threshold mode if you want to detect scene boundaries using fades/cuts in/out to black. If the video uses a lot of fast cuts between content, and has no well-defined scene boundaries, you should use the content mode. Once you know what detection mode to use, you can try the parameters recommended below, or generate a statistics file (using the -s / –statsfile flag) in order to determine the correct paramters - specifically, the proper threshold value.

For help or other issues, feel free to submit any bugs or feature requests to Github: https://github.com/Breakthrough/PySceneDetect/issues


Licensed under BSD 2-Clause (see the LICENSE file for details).

Copyright (C) 2012-2016 Brandon Castellano. All rights reserved.

Project details


Release history Release notifications

This version
History Node

0.3.4

History Node

0.3.3.post0

History Node

0.3.3rc0

History Node

0.3.3b0

History Node

0.3.2b0

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
PySceneDetect-0.3.4-py2.7.egg (51.6 kB) Copy SHA256 hash SHA256 Egg 2.7 Feb 9, 2016
PySceneDetect-0.3.4.tar.gz (25.9 kB) Copy SHA256 hash SHA256 Source None Feb 9, 2016

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