Porst procecsing from pgsi when it gives us landmarks

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) : GPU
• DeepStream Version : 7.0
• JetPack Version (valid for Jetson only)
• TensorRT Version : 8.6.1.6.1+cuda12.0
• NVIDIA GPU Driver Version (valid for GPU only) 525.183.01 T4 and A5000
• 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)

How can i get Landmarks from pgie and do some process on it(for example ignore some of them with bad alignment) and finally put it into sgie on deepstream using python?
my question is :
can i do that ?
i don’t see landmark in deepstream metadata how can i get landmarks?
how can i do some process between pgie and sgie?

Yes.

You need to customize the PGIE’s postprocessing and customize object user meta to transfer the landmarks.

Please refer to deepstream_tao_apps/apps/tao_others/deepstream-emotion-app at master · NVIDIA-AI-IOT/deepstream_tao_apps (github.com)

Thanks but is there any python example for it?

No. There is no python sample for landmark. It is just another programming language, you may implement by yourself according to the c/c++ sample.

There is DeepStream python bindings and samples for your reference. Python Sample Apps and Bindings Source Details — DeepStream documentation 6.4 documentation

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

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