burn: a little case study on using GstAnalytics from Rust

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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.

Creation date: Oct. 23, 2025
Speakers: Sebastian Dröge
Company: GStreamer
License: CC BY-SA 3.0
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