Demonstration: Use an Intel® GPU and Software Stack for Media Delivery

Published: 08/31/2020

Link

Media Delivery software stack

Tags for Other Versions

OS Target Version Size Updated Pull Command
Ubuntu*:20.04 Intel® GPU latest ~700 MB (estimated) 9/2020 N/A

Description

This project provides samples to demonstrate the use of Intel® GPU in simplified real-life scenarios involving media streams delivery.

It leverages a software stack which consists of the following ingredients:

Each sample is available in a form of Docker* container which you need to build locally.

Provided samples focus on the key aspects of the proper Intel® software setup and integration with other popular tools you will likely use in your final product. We try to do our best to provide a configuration which will demonstrate the best quality and performance for Intel® GPU media stack.

Key topics covered:

  • Samples that demonstrate operations typical for content delivery network (CDN) applications such as video on demand (VOD) streaming using a NGINX* server
  • Reference command lines (for ffmpeg-qsv and Intel Media SDK native samples) tuned for the optimal quality and performance (for the showcasing scenario)
  • Quality and performance measuring infrastructure for data collection
  • Intel GPU performance monitoring

Documentation and Sources

Get Started

Code and Sources

Media Delivery software stack: How To

Sources

Media Delivery software stack: Video Performance

Report Issue

Media Delivery software stack: Video Quality

README


License Agreement

This project is licensed under MIT license

 

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.