GstRTPNetCC: Difference between revisions
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<p style="font-size: 4em; margin-bottom:0">GstInference</p> | |||
<p style="font-size: 1em; margin-top:0; margin-bottom:4rem">A GStreamer deep learning inference framework.</p> | |||
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== Overview == | == Overview == | ||
GstRTPNetCC is a GStreamer plug-in that allows estimating the available bandwidth during a single video stream based on the RTP information. | GstRTPNetCC is a GStreamer plug-in that allows estimating the available bandwidth during a single video stream based on the RTP information. | ||
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Start navigating this wiki by going to the [[ GstRTPNetCC Design|GstRTPNetCC Fundamentals]] page in the table of contents. | Start navigating this wiki by going to the [[ GstRTPNetCC Design|GstRTPNetCC Fundamentals]] page in the table of contents. | ||
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<seo title="GstInference | gstreamer deep learning inference | RidgeRun" titlemode="replace" keywords="GStreamer, Linux SDK, Linux BSP, Embedded Linux, Device Drivers, Nvidia, Jetson, TX1, TX2, Embedded Linux driver development, Linux Software development, Embedded Linux SDK, Embedded Linux Application development, GStreamer Multimedia Framework,NVIDIA,Xavier,AI,Deep Learning,deep learning inference framework, deep learning inference, gstreamer deep learning inference, deep learning, inference, inference framework, Xavier inference, Jetson inference, nvidia tx1 inference, nvida tx2 inference, gstreamer" description="GstInference is an open-source project from Ridgerun that provides a framework for integrating deep learning inference into GStreamer."></seo> | |||
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{{GstInference/Foot||Introduction}} | |||
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Revision as of 23:22, 16 April 2019
 | Make sure you also check GstInference's companion project: R2Inference |
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GstInference A GStreamer deep learning inference framework. |
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OverviewGstRTPNetCC is a GStreamer plug-in that allows estimating the available bandwidth during a single video stream based on the RTP information. FeaturesThe plug-in is equipped with three elements:
Supported FormatsVideo
Getting StartedStart navigating this wiki by going to the GstRTPNetCC Fundamentals page in the table of contents. |
