Skip to main content

Machine Learning in GStreamer: Frameworks, Tensors, and Analytics

K.4.601 | Day 1 | 13:25 - 13:45 | Speakers: Daniel Morin

Machine Learning in GStreamer: Frameworks, Tensors, and Analytics
A picture of a devroom at FOSDEM 2024
Open in browser
Get involved in the conversation!Join the chat

Notes

Abstract

Machine learning in GStreamer is evolving rapidly, with major recent advances such as a dedicated analytics framework in the core library and new elements for integrating popular ML runtimes. These improvements further solidify GStreamer’s position as a leading open source multimedia framework for building robust, cross-platform media analytics pipelines. In this talk, we’ll explore the latest developments, including the GStAnalytics library, ONNX support, Python integration via gst-python-ml, new Tensor negotiation capabilities, and more.


Notice: The placeholder video image is licensed under CC BY-SA 4.0. The original image can be found hereChanges made to the image are: Cropped the image to a new ratio, part of the image was cut off.