Speaker
Sebastian Dröge
(Centricular Ltd)
Description
Almost all existing code using the GstAnalytics API is in C or Python: inference elements, tensor decoders and all kinds of infrastructure elements.
In this lightning talk I will talk about my experience writing an inference element around the Rust burn deep-learning / machine-learning framework, writing a tensor decoder for YOLOX in Rust, and how it integrates with the remaining GstAnalytics infrastructure.
burn is a Rust framework that is modeled after the PyTorch API and supports many different CPU/GPU/NPU backends.
Speaker Bio
Sebastian works at Centricular on GStreamer and other projects, and has been working on GStreamer for almost 20 years now.
| Duration of the talk | 5 minutes (lightning talk) |
|---|
Primary author
Sebastian Dröge
(Centricular Ltd)
