concat( in im(startframe=10, end frame=20), im(start frame=30, endframe=40), ). In file = ffmpeg.input('input.mp4')overlayfile = ffmpeg.input('overlay.png')( ffmpeg. If you're like me and find Python to be powerful and readable, it's easier with ffmpeg-python:```pythonimport ffmpeg Maybe this looks great to you, but if you're not an FFmpeg command-line expert, it probably looks alien. The corresponding command-line arguments are pretty gnarly: bashffmpeg -i input.mp4 -i overlay.png -filter_complex "trim=start_frame=10:end_frame=20 \ trim=start_frame=30:end_frame=40 concat=n=2 hflip \ overlay=eof_action=repeat drawbox=50:50:120:120:red:t=5"\ -map output.mp4 Take for example a signal graph that looks like this: run()) API reference Complex filter graphsįFmpeg is extremely powerful, but its command-line interface gets really complicated rather quickly - especially when working with signal graphs and doing anything more than trivial. Or if you prefer a fluent interface: pythonimport ffmpeg( ffmpeg. Quickstartįlip a video horizontally: pythonimport ffmpegstream = ffmpeg.input('input.mp4')stream = ffmpeg.hflip(stream)stream = ffmpeg.output(stream, 'output.mp4')n(stream) ffmpeg-python works well for simple as well as complex signal graphs. There are tons of Python FFmpeg wrappers out there but they seem to lack complex filter support. Python bindings for FFmpeg - with complex filtering supportįfmpeg-python: Python bindings for FFmpeg
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