Deepstream 5.0 runs out of memory when using sink type 6 (MsgConvBroker)

Hi, i have encountered an out of memory issue while running the sample application on occupancy analytic provided by NVIDIA. The memory usage increases gradually until it becomes out of memory. The sample application (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.) runs continuously for for hours without the message broker. But, when the msgbroker is enabled , the system runs out of memory. (within 30mins). Please provide guidance to solve this issue.

The following are the configurations used ;

#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker

Please provide guidance as the issue occurs even with other brokers.

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

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)