GMU:Procedural Cut/Assignment Sequence: Difference between revisions

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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 and extract them. (You need to install Python) <code>scenedetect -i goldeneye.mp4 -o output_dir detect-content -t 27 list-scenes save-images split-video</code>
# 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 <code>ffmpeg -i "concat:part3.mp4|part1.mp4|part2.mp4" -c copy output.mp4</code>
# 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 <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

Latest revision as of 09:40, 18 November 2019

Let's get started with python and ffmpeg

  1. Pick and download a video with a lot of edits. New coverage is good.
  2. 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
  3. reattach the clips in a different order with ffmpeg:
  4. 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