Under the guidance of a GIthub blog,I use Jetson nano to do pedestrian detection.I installed kafka and Deepstream SDK.But after I run this command:./deepstream-test5-analytics -c config/test5_config_file_src_infer_tlt.txt
the system prompts:
(deepstream-test5-analytics:8690): GLib-CRITICAL **: 14:49:29.553: g_strchug: assertion ‘string != NULL’ failed
(deepstream-test5-analytics:8690): GLib-CRITICAL **: 14:49:29.553: g_strchomp: assertion ‘string != NULL’ failed
** WARN: <create_pipeline:1141>: Num of Tiles less than number of sources, readjusting to 2 rows, 1 columns
Warning: ‘input-dims’ parameter has been deprecated. Use ‘infer-dims’ instead.
** ERROR: main:1088: Failed to set pipeline to PAUSED
ERROR from sink_sub_bin_sink2: Could not initialize supporting library.
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvmsgbroker/gstnvmsgbroker.c(359): legacy_gst_nvmsgbroker_start (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
unable to open shared library
ERROR from sink_sub_bin_sink2: 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(5265): gst_base_sink_change_state (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
Failed to start
App run failed
Does any have a solution?Thanks!
The link to the blog is “GitHub - NVIDIA-AI-IOT/deepstream-occupancy-analytics: This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.”.