Overview
Content-Aware Scene Detection
Detects breaks in-between content, not only when the video fades to black (although a threshold mode is available as well for those cases).Compatible With Many External Tools
The detected scene boundaries/cuts can be exported in a variety of formats, with the default type (comma-separated HH:MM:SS.nnn values) being ready to copy-and-paste directly into other tools (such as ffmpeg, mkvmerge, etc...) for splitting and/or re-encoding the video.Statistical Video Analysis
Can output a spreadsheet-compatible file for analyzing trends in a particular video file, to determine the optimal threshold values to use with specific scene detection methods/algorithms.Extendible and Embeddable
Written in Python, and designed with an easy-to-use and extendable API, PySceneDetect is ideal for embedding into other programs, or to implement custom methods/algorithms of scene detection for specific applications (e.g. analyzing security camera footage).Features
- exports list of scenes to .CSV file and terminal (both timecodes and frame numbers) with
list-scenes
command - exports timecodes in standard format (HH:MM:SS.nnn), comma-separated for easy copy-and-paste into external tools and analysis with spreadsheet software
- statistics/analysis mode to export frame-by-frame video metrics via the
-s [FILE]
/--stats [FILE]
argument (e.g.--stats metrics.csv
) - output-suppression (quiet) mode for better automation with external scripts/programs (
-q
/--quiet
) - save an image of the first and last frame of each detected scene via the
save-images
command - split the input video automatically if
ffmpeg
ormkvmerge
is available via thesplit-video
command
Detection Methods
- threshold scene detection (
detect-threshold
): analyzes video for changes in average frame intensity/brightness - content-aware scene detection (
detect-content
): based on changes between frames in the HSV color space to find fast cuts - adaptive content scene detection (
detect-adaptive
): based ondetect-content
, handles fast camera movement better by comparing neighboring frames in a rolling window
Version Roadmap
Future version roadmaps are now tracked as milestones (link). Specific issues/features that are queued up for the very next release will have the backlog
tag, and issues/features being worked on will have the status: in progress
tag. Also note that bug reports as well as additional feature requests can be submitted via the issue tracker; read the Bug Reports and Contributing page for details.
Planned Features
The following features are under consideration for future releases. Any contributions towards completing these features are most welcome (pull requests may be accpeted via Github).
- graphical interface (GUI)
- automatic threshold detection for the current scene detection methods (or just ouptut message indicating "Predicted Threshold: X")
- suppression of short-length flashes/bursts of light #35
- histogram-based detection algorithm in HSV/HSL color space #53
- perceptual hash based scene detection (prototype by @wjs018 in PR#290)
- adaptive bias for fade in/out interpolation
- export scenes in chapter/XML format #323