ffmpegio 0.1.2

Media I/O with FFmpeg

Python ffmpegio package aims to bring the full capability of FFmpeg to read, write, and manipulate multimedia data to Python. FFmpeg is an open-source cross-platform multimedia framework, which can handle most of the multimedia formats available today.

Main Features

• Pure-Python light-weight package interacting with FFmpeg executable found in the system

• Transcode a media file to another in Python

• Read, write, filter, and create functions for audio, image, and video data

• Context-managing ffmpegio.open to perform stream read/write operations of video and audio

• Automatically detect and convert audio & video formats to and from numpy.ndarray properties

• Probe media file information

• Accepts all FFmpeg options including filter graphs

• Supports a user callback whenever FFmpeg updates its progress information file (see -progress FFmpeg option)

• Advanced users can gain finer controls of FFmpeg I/O with ffmpegio.ffmpegprocess submodule

• More features to follow

Documentation

Visit our GitHub page here

Examples

>>> import ffmpegio

>>> # read audio samples from 24.15 seconds to 63.2 seconds, pre-convert to mono in float data type
>>> fs, x = ffmpegio.audio.read('myaudio.wav', ss=24.15, to=63.2, sample_fmt='dbl', ac=1)

>>> # read 50 video frames at t=00:32:40, pre-convert to grayscale
>>> fs, x = ffmpegio.video.read('myvideo.mp4', ss='00:32:40', vframes=50, pix_fmt='gray')

>>> # capture video frame at t=0.24 and resize it to 540px wide and height proportionally
>>> # scaled with assuring even # of pixels
>>> x = ffmpegio.image.read('myvideo.mp4', ss=0.24, s=(540,-2))

>>> # save numpy array x as an audio file at 24000 samples/second
>>> ffmpegio.audio.write('outputvideo.mp4', 24000, x)

>>> # process video 100 frames at a time and save output as a new video
>>> # with the same frame rate
>>> fs = ffmpegio.probe.video_streams_basic('myvideo.mp4')[0]['frame_rate']
>>> with ffmpegio.open('myvideo.mp4', 'rv', blocksize=100) as f,
>>>      ffmpegio.open('myoutput.mp4', 'wv', rate=fs) as g:
>>>     for frames in f:
>>>         g.write(myprocess(frames))