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Human Pose Estimation with Deep Learning

version 1.0.2 (68.5 MB) by Tohru Kikawada
Human Pose Estimation with Deep Learning

24 Downloads

Updated 15 Jun 2020

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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).

Cite As

Tohru Kikawada (2020). Human Pose Estimation with Deep Learning (https://github.com/matlab-deep-learning/Human-Pose-Estimation-with-Deep-Learning/releases/tag/v1.0.2), GitHub. Retrieved .

Comments and Ratings (8)

saad alsheekh

cui

Atsushi Ohashi

Doniyorbek Komilov

Kihyo Jung

Kazuya Machida

Takuji Fukumoto

Kenta

MATLAB Release Compatibility
Created with R2020a
Compatible with R2019b and later releases
Platform Compatibility
Windows macOS Linux

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