Media Delivery software stack
Tags for Other Versions
|Ubuntu*:20.04||Intel® GPU||latest||~700 MB (estimated)||9/2020||N/A|
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
Code and Sources
This project is licensed under MIT license
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.