Skip to main content

Add chapters to video based on scene cuts

Project description

chaptinator

Add chapters on scene changes to videos (e.g. slide changes in presentations)

Install

chaptinator requires ffmpeg to be installed on your system and for it to be in PATH. Follow the instructions on https://ffmpeg.org/ and make sure the commands ffmpeg and ffprobe are available in your favorite shell (bash, zsh, Powershell, ...).

Then install this package via pip. For a global installation use

sudo pip install chaptinator

and for a user-local installation use

pip install --user chaptinator

Usage

chaptinator VIDEO [-t TITLE] [-a AUTHOR] [-c CHANGE_THRESH] [-s] [-m METADATA_FILE]

-t TITLE sets the title in the metadata (default: filename)

-a ARTIST sets the artist in the metadata

-c CHANGE "value between 0 and 1 to indicate a new scene; a low value reflects a low probability for the current frame to introduce a new scene, while a higher value means the current frame is more likely to be one" -- https://ffmpeg.org/ffmpeg-filters.html#select_002c-aselect

-s scales the tagged result video to a height 720 while keeping the aspect ratio

-m METADATA_FILE disables the cut detection and instead uses the provided metadata file. This file has to have the structure described in https://ffmpeg.org/ffmpeg-formats.html#Metadata-1

Example

# increase cut detection threshold to 0.4 and scale the video
chaptinator foo.mp4 -t "Video Title" -a "Author Name" -c 0.4 -s

# read cuts from metadata file
chaptinator foo.mp4 -m metadata.txt

Use Cases

chaptinator could be used to add chapters to presentation slides that were recorded in PowerPoint and exported as video.

But of course it works with any video file that has cuts in it, just adjust the -c parameter to your preference.

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

chaptinator-0.3.tar.gz (4.0 kB view hashes)

Uploaded Source

Built Distribution

chaptinator-0.3-py3-none-any.whl (5.4 kB view hashes)

Uploaded Python 3

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