Bringing Deep Neural Networks to GStreamer.

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Over the last decade, there’s been a tremendous progress in deep learning. The field has shifted from a niche reserved only to researchers, to a mainstream technology that I’ve observed being discussed at a family tea party (seriously). There’s now a jungle of frameworks that enable a layman to train complex models and make accurate predictions about almost anything. If you’re able to navigate this jungle, you will be able to make useful applications and impressive demos with relatively little effort. And it just got even easier! Last year, OpenCV released a DNN module to run trained models. So what’s more natural than to make use of this and bring the power of deep neural networks to GStreamer?! Stian Selnes is a software engineer developing video conferencing systems at Pexip. He's been working with GStreamer, video codecs and other types of signal processing for 11 years. In an effort to be hip and trendy he's now dipping his toes into neural networks and deep learning.

Creation date: Oct. 25, 2018
Speakers: Stian Selnes
Company: Pexip
License: CC BY-SA 3.0
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