gitrust / moviepy

Moviepy scripts

Collection of moviepy experiments

Videoeditor moviepy (based on python)

http://zulko.github.io/moviepy

Run examples

To run examples using Docker

1. install docker
2. build docker image by make build
3. run docker image by make run
4. now run examples, e.g. python src/text/concat-text.py

Howto

List available fonts

import moviepy.editor as mpy

print(mpy.TextClip.list('font'))

List background colors

import moviepy.editor as mpy

print(mpy.TextClip.list('color'))

Preparing sample videos

Cut videos to 5 seconds, remove audio and resize to 500:300

ffmpeg -i input.mp4 -to 00:00:05 -an -vf scale=500:300 final.mp4

Video Codec

https://zulko.github.io/moviepy/ref/VideoClip/VideoClip.html

Codec to use for image encoding. Can be any codec supported by ffmpeg. If the filename is has extension ‘.mp4’, ‘.ogv’, ‘.webm’, the codec will be set accordingly, but you can still set it if you don’t like the default. For other extensions, the output filename must be set accordingly.

Some examples of codecs are:

• 'libx264' (default codec for file extension .mp4) makes well-compressed videos (quality tunable using ‘bitrate’)
• 'mpeg4' (other codec for extension .mp4) can be an alternative to 'libx264', and produces higher quality videos by default
• 'rawvideo' (use file extension .avi) will produce a video of perfect quality, of possibly very huge size
• png (use file extension .avi) will produce a video of perfect quality, of smaller size than with rawvideo
• 'libvorbis' (use file extension .ogv) is a nice video format, which is completely free/ open source. However not everyone has the codecs installed by default on their machine
• 'libvpx' (use file extension .webm) is tiny a video format well indicated for web videos (with HTML5). Open source

rule of thumb for video size

filesize (in MB) = (bitrate in Mbit/s / 8) * (video length in seconds)

ffmpeg options for hiqh quality encoding

• https://trac.ffmpeg.org/wiki/Encode/H.264

Used libraries

• OpenCV
• Numpy
• Scipy
• Pillow

Notes

• OpenCV works with numpy arrays

Render examples

Original

Cartoonify

Pixelate

Sketchy

Zoom

References

• Some sample videos are taken from https://www.pexels.com
• https://github.com/AditiRastogi250701/Image-Cartoonifier/blob/main/Image%20Cartoonifier.py
• https://www.pexels.com/video/close-up-view-of-a-lava-lamp-2000817/
• https://www.pexels.com/video/water-abstract-art-oil-drops-4156092/
• https://gist.github.com/hashABCD/58f7c94bc5b22c0bd3e1192a7690e1d1#file-img2sketch
• https://pixabay.com/videos/jellyfish-sea-dangerous-underwater-26818/
• https://pixabay.com/videos/skate-sport-water-action-exercise-110734/