Transcoding to HLS using GPU

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

• Hardware Platform (Jetson / GPU) Jetson Xavier NX
• DeepStream Version 6.1
• JetPack Version 5.0.2
• TensorRT Version 8.4.1.5
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type: Question

Hi,

I’m currently trancoding h264 rtsp streams to HLS using the below gstreamer pipline

gst-launch-1.0 -v -e rtspsrc protocols=tcp location=“rtsp://username:password@192.168.88.207/cam/realmonitor?channel=1&subtype=0” ! queue ! rtph264depay ! h264parse config-interval=-1 ! mpegtsmux ! hlssink location=%06d.ts target-duration=10 max-files=360 playlist-length=360 playlist-location=playlist.m3u8

Is there a more efficient way to run the above pipeline using NVIDIA plugins to make use of the GPU?

3

The media container demux and mux CPU cost is little, it is no meaning to accelerate it with HW.

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