ffmpeg is an excellent tool for video processing. However, using ffmpeg directly inside Python is not convenient enough. Previously, I have been using ffmpeg-python, which is a thin wrapper around the ffmpeg command line executable.

The main issue with ffmpeg-python is its slow speed in performance-critical applications, due to its nature as a simple wrapper package.

The PyAV is a more performant package providing ffmpeg library bindings¹.

To install PyAV, run the following command:

pip install av

Simple use case: extract frame every one second

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Here is a code snippet for how to extract video frames every one second:

import os

import av


out_dir = "demo"
if not os.path.exist(out_dir):
    os.makedirs(out_dir)

fpath = "test.mp4"
container = av.open(fpath)

# take first video stream
stream = container.streams.video[0]

# get video fps
average_fps = int(stream.average_rate)

for idx, frame in enumerate(container.decode(stream)):
    if idx % average_fps != 0:
        continue

    frame.to_image.save("frame-{idx}.jpg")

In the code snippet, we create a container, which contains all video and audio streams in the video.

We then use container.streams.video[0] to get the video stream. container.decode() is used to decode the stream into frames.

Since videos may have variable fps, there are actually several frame rates. stream.average_rate is the average fps for video, and it works fine in our case. However, it is not a native type, we need to convert it to float or int before usage.

Some of the other important information of a stream:

• video duration in seconds: float(stream.duration * stream.time_base)
• video frame number: stream.frames
• frame width and height: frame.width, frame.height

References

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• video frames doc: https://pyav.org/docs/stable/api/video.html#module-av.video.frame