Failed to set pipeline to PAUSED

Hello,

I am trying to start perception inside docker. I am following instructions (https://github.com/NVIDIA-AI-IOT/deepstream_360_d_smart_parking_application/tree/master/perception_docker), but on last step i am getting this…

root@b3f869679ccf:~# deepstream-360d-app -c DeepStream360d_Release/samples/configs/deepstream-360d-app/source10_gpu0.txt
HostName : b3f869679ccf
** ERROR: main:351: Failed to set pipeline to PAUSED
Quitting
App run failed

Graphic Card: Titan X
Driver version: 140.79
CUDA Version: 10.0

HI,
May I know where you run from? remote terminal or from display desktop? if from remote terminal, Can you try
export DISPLAY=:0
sudo xhost +
first before you run deepstream-360d-app -c DeepStream360d_Release/samples/configs/deepstream-360d-app/source10_gpu0.txt within docker?

Hello,
i am running from remote KVM, i tried your steps too, but still same problem.

Thank you

Right now, i am getting -
Quitting
ERROR from nvmsgbroker: Could not configure supporting library.
Debug info: gstnvmsgbroker.c(325): gst_nvmsgbroker_start (): /GstPipeline:pipeline/GstNvMsgBroker:nvmsgbroker:
unable to connect to broker library
ERROR from nvmsgbroker: 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(5245): gst_base_sink_change_state (): /GstPipeline:pipeline/GstNvMsgBroker:nvmsgbroker:

Hi,
if you just run perception server, please disable message broker in config,

[message-broker]
enable=0
#broker-proto-lib=/usr/local/deepstream/libnvds_kafka_proto.so
broker-proto-lib=/home/tse/work/dssource/DeepStreamSDK/install/usr/local/deepstream/libnvds_kafka_proto.s
o
#broker-conn-str=kafka1.data.nvidiagrid.net;9092;metromind-test-1
broker-conn-str=172.19.0.1;9092;metromind-test-1
#proto-cfg-file=config.txt

if you want to run with message enabled, also should have analytic server running, check here for an introduction, https://github.com/NVIDIA-AI-IOT/deepstream_360_d_smart_parking_application/tree/master

We are running analytic server on another server inside kubernetes. If we try kafkacat to kafka inside k8s we can se topics.