![python ffmpeg example python ffmpeg example](https://user-images.githubusercontent.com/15729405/90593864-b8156800-e1f1-11ea-9cf4-add2f3606157.png)
The output from stdout and stderr is added to the same queue along with a stream identifier which is then read in the main thread until a value of None is encountered (one for each stream, hence the range(2)). The threading and queue is a way to avoid ffmpeg filling output buffers and hanging. Thread(target=reader, args=).start()īar = tqdm(total=round(total_duration, 2)) run_async(pipe_stdout=True, pipe_stderr=True) Total_duration = float(ffmpeg.probe(args.in_filename)) Parser.add_argument('out_filename', help='Output filename') Parser.add_argument('in_filename', help='Input filename') Sepia colors, but the same pattern can be applied to other use The video processing simply consists of converting the video to Stdout to report progress in the form of a progress bar. This is an example of using the ffmpeg `-progress` option with Process video and report and show progress bar. Parser = argparse.ArgumentParser(description=dent('''\ Rather than using a socket the progress stats are passed to stdout so this example does not allow for streaming the ffmpeg output: #!/usr/bin/env python Python is not my strongest language, having only been using it for a few months, and this solution is cobbled together from a couple of examples in this repo and some diving into stackoverflow, but this modification to that example seems to work.
#PYTHON FFMPEG EXAMPLE WINDOWS#
The version of the example above from the examples folder uses unix sockets so was not usable for my windows use case.
![python ffmpeg example python ffmpeg example](https://user-images.githubusercontent.com/2035953/28750146-a322493c-749d-11e7-992e-b131aa727924.png)
I’m not sure if/when this will be incorporated into ffmpeg-python, but something to play with in the mean time. run() can be used instead of calling subprocess manually. There’s probably a better way to silence ffmpeg, in which case.
![python ffmpeg example python ffmpeg example](https://raw.githubusercontent.com/kkroening/ffmpeg-python/master/examples/graphs/get_video_thumbnail.png)
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 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()