Deepstream 6.2version seems not produce idr periodically

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

**• Hardware Platform (Jetson / GPU)**GPU
• DeepStream Version 6.2
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.5
• NVIDIA GPU Driver Version (valid for GPU only) 525
• Issue Type( questions, new requirements, bugs) questions
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

gst-launch-1.0 videotestsrc ! nvvideoconvert ! nvv4l2h264enc iframeinterval=25  force-intra=true ! filesink location=test.h264

using this cmd to record a video. turns out a h264 file with only one idr frame at first. It’s work for video if we only want to record. But using this stream on live is not acceptable. I have tested it on 6.0 version which will produce idr periodically so can be played on live. Is therer any way to force-idr generate on dGPU deepstream 6.2 ?

3

Hey!

Can you try to force the idrinterval using the following pipeline?

gst-launch-1.0 videotestsrc ! nvvideoconvert ! nvv4l2h264enc idrinterval=25  force-intra=true ! filesink location=test.h264

Cheers,
Tobi

4

there is no idrinterval property on nvv4l2h264enc when it’s on dGPU T4 card or A10 card

5

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6

It’s only works on jetson platform

7

The “idrinterval” property is not supported in DeepStream 6.2 GA for dGPU, we will add it in the future release.

8

Hello. I’m wondering it’s right behavior that encoder only generate one IDR frame at beginning on deepstream 6.2 GA, dGPU?

9

It is inconvenient. Before the solution is available, at least “iframeinterval” can be used to generate I frames periodically.

10

I am wodering why it’s can generate IDR periodically on version 6.0,but abandoned on 6.2

11

It is a bug. We will fix in the future release.

12

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