This demo shows how to train and test a human pose estimation using deep neural network. In R2019b, Deep Learning Toolbox(TM) supports low-level APIs to customize training loops and it enables us to train flexible deep neural networks. GPU Coder(TM) also enables us to deploy the trained model to an NVIDIA(R) Jetson(TM) devices. Once deployed, the human pose estimator will be running as a standalone.
This repository includes a pretrained network using the COCO dataset, which was collected by the COCO Consortium (cocodataset.org).
Tohru Kikawada (2021). Human Pose Estimation with Deep Learning (https://github.com/matlab-deep-learning/Human-Pose-Estimation-with-Deep-Learning/releases/tag/v1.0.3), GitHub. Retrieved .
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