PySceneDetect - Video Scene Cut Detection and Analysis Tool. Python and OpenCV-based scene cut/transition detection program & library
Python and OpenCV-based scene cut/transition detection program & library
Main Webpage: py.scenedetect.com
Quick Install: To install PySceneDetect via
pip with all dependencies:
pip install scenedetect[opencv]
For servers, you can use the headless (non-GUI) version of OpenCV by installing
scenedetect[opencv-headless]. To enable video splitting support, you will also need to have
ffmpeg installed - see the documentation on Video Splitting Support for details.
Requires Python modules
cv2, and (optional)
tqdm for displaying progress. For details, see the dependencies on the downloads page.
Quick Start (Command Line):
Split the input video wherever a new scene is detected:
scenedetect -i video.mp4 detect-content split-video
Skip the first 10 seconds of the input video, and output a list of scenes to the terminal:
scenedetect -i video.mp4 time -s 10s detect-content list-scenes
To show a summary of all other options and commands:
Quick Start (Python API):
In the code example below, we create a function
find_scenes() which will load a video, detect the scenes, and return a list of tuples containing the (start, end) timecodes of each detected scene. Note that you can modify the
threshold argument to modify the sensitivity of the scene detection.
# Standard PySceneDetect imports: from scenedetect import VideoManager from scenedetect import SceneManager # For content-aware scene detection: from scenedetect.detectors import ContentDetector def find_scenes(video_path, threshold=30.0): # Create our video & scene managers, then add the detector. video_manager = VideoManager([video_path]) scene_manager = SceneManager() scene_manager.add_detector( ContentDetector(threshold=threshold)) # Improve processing speed by downscaling before processing. video_manager.set_downscale_factor() # Start the video manager and perform the scene detection. video_manager.start() scene_manager.detect_scenes(frame_source=video_manager) # Each returned scene is a tuple of the (start, end) timecode. return scene_manager.get_scene_list()
To get started, try printing the result from calling
find_scenes on a small video clip:
scenes = find_scenes('video.mp4') print(scenes)
See the manual for the full PySceneDetect API documentation.
PySceneDetect is a command-line tool and Python library, which uses OpenCV to analyze a video to find scene changes or cuts. If
mkvmerge is installed, the video can also be split into scenes automatically. 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. See the Usage documentation for details.
There are two main detection methods PySceneDetect uses:
detect-threshold (comparing each frame to a set black level, useful for detecting cuts and fades to/from black), and
detect-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 below.
In general, use
detect-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
detect-content mode. Once you know what detection mode to use, you can try the parameters recommended below, or generate a statistics file (using the
--statsfile flag) in order to determine the correct paramters - specifically, the proper threshold value.
Note that PySceneDetect is currently in beta; see Current Features & Roadmap below for details. For help or other issues, you can join the official PySceneDetect Discord Server, submit an issue/bug report here on Github, or contact me via my website.
scenedetectcommand and Python API
You can view the latest features and version roadmap on Readthedocs. See
docs/changelog.md for a list of changes in each version, or visit the Releases page to download a specific version. Feel free to submit any bugs/issues or feature requests to the Issue Tracker.
Additional features being planned or in development can be found here (tagged as
feature) in the issue tracker. You can also find additional information about PySceneDetect at http://www.bcastell.com/projects/PySceneDetect/.
Live Demo: View The Demo
Download Link: Download The Source Code
Official Website: https://github.com/Breakthrough/PySceneDetect
License: Licensed under BSD 3-Clause (see the
LICENSE file for details).
Copyright (C) 2014-2021 Brandon Castellano. All rights reserved.
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