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
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.
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