The trivial method os its usage will be explained in this tutorial. This module is employed for execution and dealing with external commands, intended to supersede the os.sys module.

This can be done using subprocess ythonP module. Instead, the python interface is being used to run commands in the terminal. In this tutorial, we do not use the terminal commands directly for employing the FFmpeg with NVENC support. In this tutorial, the main goal is to show how to extract audio from video with GPU-accelerated libraries in Linux. Moreover, the NVENC programming guide can be found here. documentation on NVENC can be found here. The full documentation of FFmpeg integrated with NVIDIA can be found at here. In order to be able to utilize this GPU-accelerated encoder, FFmpeg must be installed with NVENC support. The latest NVIDIA GPUs contain a hardware-based video encoder called NVENC which is much faster than traditional ones. In order to encode the video, certainly, a video encoder must be used. IntroductionįFmpeg is one of the most famous multimedia frameworks which is widely used for processing videos. For similar posts about video processing, please refer to Resizing a video is unbelievably fast by GPU acceleration and GPU-based video rotation FFmpeg.

The full code is available in this GitHub repository. To explore more content on our blog, please refer to the original post. This tutorial deals with audio extraction from video using GPU accelerated libraries supported by FFMPEG in Ubuntu.

Ffmpeg extract audio raw