Difference between revisions of "GstRTPNetCC"

From RidgeRun Developer Connection
Jump to: navigation, search
m
Line 4: Line 4:
 
}}
 
}}
  
{{DISPLAYTITLE:GstInference|noerror}}
+
{{DISPLAYTITLE:GstRTPNetCC|noerror}}
  
 
{| style="border-style: solid; border-width: 1px; margin: 10px; right-margin: 200px"
 
{| style="border-style: solid; border-width: 1px; margin: 10px; right-margin: 200px"
Line 11: Line 11:
 
<div style="padding:2rem 1rem; margin:0; background-color:#4db6ac;color:#ffffff;">   
 
<div style="padding:2rem 1rem; margin:0; background-color:#4db6ac;color:#ffffff;">   
 
   <div>
 
   <div>
     <p style="font-size: 4em; margin-bottom:0">GstInference</p>  
+
     <p style="font-size: 4em; margin-bottom:0">GstRTPNetCC</p>  
 
     <p style="font-size: 1em; margin-top:0; margin-bottom:4rem">A GStreamer deep learning inference framework.</p>  
 
     <p style="font-size: 1em; margin-top:0; margin-bottom:4rem">A GStreamer deep learning inference framework.</p>  
 
   </div>
 
   </div>
 
</div>
 
</div>
| rowspan="2" valign="top" style="text-align:center;" | {{GstInference/TOC}}
+
| rowspan="2" valign="top" style="text-align:center;" | {{GstRTPNetCC/TOC}}
 
|-
 
|-
 
| width="100%" valign="top" |
 
| width="100%" valign="top" |

Revision as of 18:31, 16 April 2019


GstRTPNetCC

A GStreamer deep learning inference framework.

Overview

GstRTPNetCC is a GStreamer plug-in that allows estimating the available bandwidth during a single video stream based on the RTP information.

Features

The plug-in is equipped with three elements:

  • GstRTPNetCC: video filter.

Supported Formats

Video

  • VP8
  • H264

Getting Started

Start navigating this wiki by going to the GstRTPNetCC Fundamentals page in the table of contents.


Index Next: Introduction