Deepstream skip frmaes only on sink

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Hello,

I have a requirement to infer on a 60 fps camera source but to output at 30 fps rate to rtsp.

I’ve tried adding videorate element with 30 fps caps before the encoder but it had no affect.

I think it might not work on "video/x-raw(memory:NVMM)”

Any ideas on how to achieve this?

Thanks

3

Try this pipeline, It works for me. I used videotestsrc to simulate a 60fps camera and queue to simulate nvinfer.

Finally, I want to confirm something: does the inference rate of nvinfer (60fps vs. 30fps) significantly affect the output? You might consider adding videorate downstream of v4l2src.

gst-launch-1.0 -v \
  videotestsrc is-live=true \
    ! video/x-raw,format=I420,width=1280,height=720,framerate=60/1 \
    ! nvvideoconvert \
    ! 'video/x-raw(memory:NVMM),format=NV12' \
    ! queue \
    ! videorate \
    ! 'video/x-raw(memory:NVMM),framerate=30/1' \
    ! tee name=t \
      t. ! queue ! fpsdisplaysink video-sink=fakesink text-overlay=false sync=false \
      t. ! queue ! nvv4l2h264enc bitrate=4000000 insert-sps-pps=true idrinterval=30 \
            ! h264parse config-interval=-1 \
            ! rtph264pay pt=96 config-interval=1 name=pay0 \
            ! udpsink host=127.0.0.1 port=5000 sync=false async=false

/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 67, dropped: 0, current: 29.99, average: 32.75
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 83, dropped: 0, current: 30.00, average: 32.18
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 99, dropped: 0, current: 30.01, average: 31.81
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 115, dropped: 0, current: 30.00, average: 31.55
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 130, dropped: 0, current: 30.00, average: 31.36
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 145, dropped: 0, current: 29.98, average: 31.21
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 160, dropped: 0, current: 29.99, average: 31.09
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 176, dropped: 0, current: 30.02, average: 30.99
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 191, dropped: 0, current: 29.99, average: 30.91
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 207, dropped: 0, current: 30.02, average: 30.84
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0: last-message = rendered: 222, dropped: 0, current: 30.00, average: 30.78
4

Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• 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)
• The pipeline being used