The watcher runs in its own gevent greenlet, but it could be changed to use actual threads instead if desired.It creates and listens on a unix-domain socket and passes that to ffmpeg.Sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)Ĭhild = gevent.spawn(_watch_progress, filename, sock, handler)ĭuration = float(ffmpeg.probe('in.mp4')) Value = parts if len(parts) > 1 else None Here’s a semi-hacked-together example using gevent and the -progress param mentioned: import gevent.monkey _all()ĭef _watch_progress(filename, sock, handler):Ĭonnection, client_address = sock.accept() This command writes each frame of a video as an image to disk.Īt the very least it would be great if we could see the output generated by running ffmpeg on commandline ffmpeg -i test.mp4 %06d.png -hide_banner Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'workflow_video_01.mp4':ĭuration: 00:50:57.00, start: 0.000000, bitrate: 7040 kb/s This library uses prebuilt binaries of FFmpeg licensed under the LGPLv2.Is there a way to track a progress after running an ffmpeg?įor example, below is what i would like to do: import ffmpegįfmpeg.input('test.mp4').output('frame_%06d.jpg').run() The wiki can be located here Contributing NB: The above digits are just for illustration purposes. Provides FFprobe functions and values from pyffmpeg import FFprobe Uses current FFmpeg version Installation pip install pyffmpeg Becuase it's cross-platform and python 3, it is the only option available for building cross-platform apps with ffmpeg in python. It is compressed, making it the smallest one you can find. The beautiful thing about this is that it comes with it's own FFmpeg executable.

So you can kill two birds with one stone. It uses the most up-to-date FFmpeg binary to provide both FFmpeg and FFprobe functionality.

Python ffmpeg wrapper