How to get facial landmarks from FPENet in deepstream python?

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) - Jetson Nano
• DeepStream Version - 6.0
• JetPack Version (valid for Jetson only) - 4.6.1-b110
• TensorRT Version - 8.2.1.8
• NVIDIA GPU Driver Version (valid for GPU only) - 10.2
• Issue Type( questions, new requirements, bugs)
I successfully built engine file but I can’t able to get facial landmarks from FPENet in deepstream python. Could you help me to resolve this issue.
• 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)

3

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

We don’t have a version with python at present. But you can refer to our c code:
https://github.com/NVIDIA-AI-IOT/deepstream_tao_apps/tree/master/apps/tao_others/deepstream-faciallandmark-app