Custom parser for hrnet in DeepStream SDK 5.1

hi
@Morganh

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 5.1
• JetPack Version (valid for Jetson only)
• TensorRT Version 7.0
• NVIDIA GPU Driver Version (valid for GPU only) 10.2
• Issue Type( questions, new requirements, bugs) questions
• 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)

I am trying to run inference on a live video stream using deepstream 5.1 sdk and want to use a HRNet which I have trained on my own dataset. HRNet is not one of the supported models in the deepstream SDK as per Using a Custom Model with DeepStream — DeepStream 5.1 Release documentation. Hence, I am stuck at this step as I am not proficient enough in C++ to write my own custom parser scripts.
The following are my questions:

  1. Are there any custom parser(.so) available out of the box which I can use for HRNet?
  2. Are there any tools available which let me generate the custom parsers for any model? along with the associated Deepstream configuration file?

thanks

Please refer to below guide to deploy TLT Heartrate model.
https://docs.nvidia.com/tlt/tlt-user-guide/text/tlt_cv_inf_pipeline/requirements_and_installation.html#download-the-tlt-cv-inference-pipeline-quick-start

https://docs.nvidia.com/tlt/tlt-user-guide/text/tlt_cv_inf_pipeline/quick_start_scripts.html#initialization

https://docs.nvidia.com/tlt/tlt-user-guide/text/tlt_cv_inf_pipeline/running_samples.html#running-the-heart-rate-estimation-sample

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