How to use Facial Landmark model (FPEnet) in python?

Accelerated Computing Intelligent Video Analytics TAO Toolkit
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Hi I am new to TAO toolkit and I want to use the pre-trained FPEnet Facial Landmark detector in python. The model can be found here : Facial Landmarks Estimation | NVIDIA NGC. I’ve tried to read TAO, DeepStream, TensorRT documentation but I am unable to find the solution I am looking for. I want to know how I can achieve this.

Can someone help me out here?

Thanks

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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

You can refer to tao_tensorflow1_backend/nvidia_tao_tf1/cv/fpenet/scripts/inference.py at c7a3926ddddf3911842e057620bceb45bb5303cc · NVIDIA/tao_tensorflow1_backend · GitHub

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