Manage multiple stream RTSP with GPU

[palmisanodomenico08]

Hi, I have to manage many RTSP streams, how can I decode entirely on the GPU, with little load on the CPU?
I would like to do everything with deepstream can you tell me how to configure everything so that it works?

[junshengy]

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

[junshengy]

Deepstream usually does not use cpu codec, so CPU load is usually not high.

You can try deepstream-app in /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-app.

You can add source[index your rtsp source] item in configuration file.

[palmisanodomenico08]

• Hardware Platform: GPU RTX 3060
• DeepStream Version: 6.2
• NVIDIA GPU Driver Version: nvidia-driver-535
• UBUNTU 22.04
we need an updated user guide to install deepstream or to use gstreamer on nvidia GPU.
Thanks

[palmisanodomenico08]

@junshengy

deepstream-app.

Do you have an example of an app that handles multiple RTSP streams without doing anything else?

[junshengy]

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

You can refer source30_1080p_dec_infer-resnet_tiled_display_int8.yml in /opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app

Replace the uri in sources_30.csv as yours