Visual-Mic VS PySceneDetect

There's this thing https://github.com/joeljose/Visual-Mic (and matlab near there), but it'll be easier, faster (and likely better) to manually search stock sound effect that match the video.

thought the same thing and wrote this: https://blog.mixpeek.com/dynamic-video-chunking-scene-detect...

which uses https://github.com/Breakthrough/PySceneDetect

under the hood i'm sure it's the same ffmpeg method ;)

You could also use something like https://github.com/Breakthrough/PySceneDetect to first split the video into camera shots, and then grab a single (or average) frame per shot, leading to a cleaner result.

If you mean scene changes, this library works: https://github.com/Breakthrough/PySceneDetect

I saw this library as well https://github.com/Breakthrough/PySceneDetect and I wonder if that might be helpful?

I do this using pyscenedetect. It is a command line tool that also has python bindings you can use so that it can all be scripted. For your use-case in which it is color based scene transitions, you would want to use the content detector. It can not only detect your scene transitions, but can also use a tool like mkvmerge to split the video into individual scenes. I personally use this to detect scene transitions and then use moviepy to annotate over the top of the video using text clips all in a single script.