Deepstream:7.0 crashing with timestamp error

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU): GPU Nvidia A40
• DeepStream Version: 7.0
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only): 535
• Issue Type( questions, new requirements, bugs): 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)

Due to the timestamps issue I have recently migrated from DS:6.2 to DS:7.0. But now its getting stops by throwing below error. Any help will be highly appreciated.

Thanks

deepstream-1  | ERROR from splitmuxsink4: Timestamping error on input streams
deepstream-1  | Debug info: ../gst/multifile/gstsplitmuxsink.c(2594): handle_gathered_gop (): /GstPipeline:pipeline/GstBin:processing_bin_4/GstBin:sink_bin/GstBin:sink_sub_bin15/GstHlsSink2:hls_mux/GstSplitMuxSink:splitmuxsink4:
deepstream-1  | Queued GOP time is negative -0:00:00.621997728
deepstream-1  | Quitting
deepstream-1  | ERROR from split_mux: Timestamping error on input streams
deepstream-1  | Debug info: ../gst/multifile/gstsplitmuxsink.c(2594): handle_gathered_gop (): /GstPipeline:pipeline/GstBin:processing_bin_4/GstBin:sink_bin/GstBin:sink_sub_bin16/GstSplitMuxSink:split_mux:
deepstream-1  | Queued GOP time is negative -0:00:00.621997728
deepstream-1  | [NvMultiObjectTracker] De-initialized

Earlier error: Buffer Drop| Timestamp problem | Computer Slow

3

Please provide complete information as applicable to your setup.
• 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)

4

We are running deepstream_test5 application. Total 16 live cameras we are running in that application inside the docker container.
config_infer_primary_yolov8.txt (940 Bytes)

osd:
  enable: 1
  gpu-id: 0
  border-width: 1
  text-size: 15
  text-color: 1;1;1;1
  text-bg-color: 0.3;0.3;0.3;1
  font: Arial
  show-clock: 1
  clock-x-offset: 100
  clock-y-offset: 100
  clock-text-size: 16
  clock-color: 1;0;0;0
  nvbuf-memory-type: 2
streammux:
  gpu-id: 0
  live-source: 1
  batch-size: 4
  batched-push-timeout: 40000
  width: 1920
  height: 1440
  enable-padding: 0
  nvbuf-memory-type: 2
  attach-sys-ts: 1
primary-gie:
  enable: 1
  gpu-id: 0
  batch-size: 4
  nvbuf-memory-type: 2
  interval: 0
  gie-unique-id: 1
  config-file: /opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream_test5/configs/config_infer_primary_yolov8.txt
tracker:
  enable: 1
  tracker-width: 640
  tracker-height: 384
  ll-lib-file: /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
  ll-config-file: ../../../../../samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml
  gpu-id: 0
  enable-batch-process: 1
  enable-past-frame: 1
  display-tracking-id: 0
5

What kind of cameras?

6

These are bullet cameras. Accessing the feed from the RTSP URL.