Open Media

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.