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SUMMARY:burn: a little case study on using GstAnalytics from Rust
DTSTART;VALUE=DATE-TIME:20251023T164500Z
DTEND;VALUE=DATE-TIME:20251023T165000Z
DTSTAMP;VALUE=DATE-TIME:20260714T185949Z
UID:indico-contribution-479@indico.freedesktop.org
DESCRIPTION:Speakers: Sebastian Dröge (Centricular Ltd)\nAlmost all exist
 ing code using the GstAnalytics API is in C or Python: inference elements\
 , tensor decoders and all kinds of infrastructure elements.\n\nIn this lig
 htning talk I will talk about my experience writing an inference element a
 round the Rust burn deep-learning / machine-learning framework\, writing a
  tensor decoder for YOLOX in Rust\, and how it integrates with the remaini
 ng GstAnalytics infrastructure.\n\nburn is a Rust framework that is modele
 d after the PyTorch API and supports many different CPU/GPU/NPU backends.\
 n\nhttps://indico.freedesktop.org/event/11/contributions/479/
LOCATION:Barbican Centre
URL:https://indico.freedesktop.org/event/11/contributions/479/
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