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# Pick and download a video with a lot of edits. New coverage is good. | # Pick and download a video with a lot of edits. New coverage is good. | ||
# use the PySceneDetect tool (link on main page) to detect the scenes. (You need to install Python) | # use the PySceneDetect tool (link on main page) to detect the scenes and extract them. (You need to install Python and ffmpeg) <code>scenedetect -i goldeneye.mp4 -o output_dir detect-content -t 27 list-scenes split-video</code> | ||
# reattach the clips in a different order with ffmpeg: | |||
# reattach the clips in a different order with ffmpeg <code>ffmpeg -i | # make a playlist file with the content: | ||
# concatenate the following clips together | |||
file 'goldeneye-Scene-008.mp4' | |||
file 'goldeneye-Scene-005.mp4' | |||
file 'goldeneye-Scene-018.mp4' | |||
5. run ffmpeg <code>ffmpeg -f concat -safe 0 -i playlist.txt -c copy output.mp4</code> | |||
Bonus learn some python to further automate the process | Bonus learn some python to further automate the process | ||
== Keno == | |||
=== Code === | |||
* [https://github.com/kenokenobingo/detective GitHub: Detective] | |||
=== Result === | |||
[[File:mDoinap.mp4]] |
Latest revision as of 09:40, 18 November 2019
Let's get started with python and ffmpeg
- Pick and download a video with a lot of edits. New coverage is good.
- use the PySceneDetect tool (link on main page) to detect the scenes and extract them. (You need to install Python and ffmpeg)
scenedetect -i goldeneye.mp4 -o output_dir detect-content -t 27 list-scenes split-video
- reattach the clips in a different order with ffmpeg:
- make a playlist file with the content:
# concatenate the following clips together file 'goldeneye-Scene-008.mp4' file 'goldeneye-Scene-005.mp4' file 'goldeneye-Scene-018.mp4'
5. run ffmpeg ffmpeg -f concat -safe 0 -i playlist.txt -c copy output.mp4
Bonus learn some python to further automate the process
Keno
Code
Result