Error using deepstream to run yolo model

JETPACk - 5.1-b147 L4T 35.2.1
64 RAM
Ubuntu 20.04 (5.10.104-tegra)
CUDA - 11.4.315
cuDNN -
TensorRT -
PyTorch - 2.0.0
Torchvision - 0.15.1
Deepstream 6.2

i’m trying to run my YOLO model on deepstream but it return this error :
sponskar@sponskar-AI:~/DeepStream-Yolo$ deepstream-app -c deepstream_app_config.txt
** ERROR: main:716: Failed to set pipeline to PAUSED
nvstreammux: Successfully handled EOS for source_id=0
ERROR from sink_sub_bin_sink1: GStreamer error: state change failed and some element failed to post a proper error message with the reason for the failure.
Debug info: gstbasesink.c(5367): gst_base_sink_change_state (): /GstPipeline:pipeline/GstBin:processing_bin_0/GstBin:sink_bin/GstBin:sink_sub_bin1/GstNv3dSink:sink_sub_bin_sink1:
Failed to start
App run failed

Have you modified the code or configuration files?

If you want to run yolo through deepstream, you can refer to this project and modify it according to your model

Yes, I’m currently working through this tutorial, which incorporates the DeepStream-Yolo project :

seeedstudio - YOLO on jetson

I adjusted the DeepStream configuration to align with my model as instructed in the tutorial. However, upon running ‘deepstream-app -c deepstream_app_config.txt,’ it’s throwing errors. Could this be due to running it via SSH?

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

It is possible. try to export DISPLAY=:x, x represents the value from cat /proc/$(pidof "gnome-terminal-server")/environ | tr '\0' '\n' | grep ^DISPLAY=

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.