View source for Pose Estimation using TensorRT on NVIDIA Jetson

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|title=Pose Estimation using TensorRT on NVIDIA Jetson
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|description={{{description|This wiki page explains about how to setup, configure, build, install and run the demo on Pose Estimation using TensorRT on NVIDIA Jetson.}}}
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Add a section to the top called Jetson Devkit and Jetpack SDK and list the hardware and software used to run the demo.

This guide is based on the [https://devtalk.nvidia.com/default/topic/1065149/jetson-projects/real-time-human-pose-estimation-on-jetson-nano-22fps-/ Real time human pose estimation project on Jetson Nano at 22FPS from NVIDIA] and the repository [https://github.com/NVIDIA-AI-IOT/trt_pose Real-time pose estimation accelerated with NVIDIA TensorRT].

This is a NVIDIA demo that uses a pose estimation model trained on PyTorch and deployed with TensorRT to demonstrate PyTorch to TRT conversion and pose estimation performance on NVIDIA Jetson platforms.