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README.md

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# Human Pose Estimation usign Deep Neural Network
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# Human Pose Estimation with Deep Learning
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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.
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- [GPU Coder Interface for Deep Learning Libraries support package](https://www.mathworks.com/matlabcentral/fileexchange/68642-gpu-coder-interface-for-deep-learning-libraries) (Addon package for GPU Coder)
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- [GPU Coder Support Package for NVIDIA GPUs](https://mathworks.com/help/supportpkg/nvidia/index.html) (Addon package for GPU Coder)
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# Installation
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Download the [latest release](https://github.com/matlab-deep-learning/human-pose-estimation-with-deep-learning/releases/) of this repository. To install, open the .mltbx file in MATLAB.
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# Getting Started
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Open the project file to add paths to related folders if you cloned the GitHub respotory.
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```matlab:Code(Display)
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open simple-pose-estimation.prj
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```
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Load a pose estimator model.
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README.mlx

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simple-pose-estimation-package.prj

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<deployment-project plugin="plugin.toolbox" plugin-version="1.0">
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<configuration build-checksum="1041642904" file="C:\matlab\pose-estimation-github\simple-pose-estimation-package.prj" location="C:\matlab\pose-estimation-github" name="simple-pose-estimation-package" target="target.toolbox" target-name="ツールボックスのパッケージ化">
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<configuration build-checksum="744064971" file="C:\matlab\pose-estimation-github\simple-pose-estimation-package.prj" location="C:\matlab\pose-estimation-github" name="simple-pose-estimation-package" target="target.toolbox" target-name="ツールボックスのパッケージ化">
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<param.appname>Human Pose Estimation with Deep Learning</param.appname>
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<param.authnamewatermark>Tohru Kikawada</param.authnamewatermark>
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<param.email>tkikawad@mathworks.com</param.email>
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<param.company>The MathWorks, Inc.</param.company>
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<param.summary>Human Pose Estimation with Deep Learning</param.summary>
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<param.description />
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<param.screenshot>${PROJECT_ROOT}\logo.png</param.screenshot>
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<param.version>1.0</param.version>
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<param.version>1.0.1</param.version>
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<param.output>${PROJECT_ROOT}\Human Pose Estimation with Deep Learning.mltbx</param.output>
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<param.products.name>
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<item>MATLAB</item>
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<param.email />
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<param.company />
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<param.description />
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<param.version />
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<param.output />
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<param.platforms />
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<param.exclude.pcodedmfiles />

src/doc/html/GettingStarted.html

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src/doc/html/README.html

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src/doc/html/SimplePoseNetEstimationOnJetson.html

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src/doc/html/SimplePoseNetEstimationWithWebcamExample.html

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src/doc/html/SimplePoseNetForMultiPerson.html

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src/doc/html/SimplePoseNetTrainingExample.html

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src/doc/html/helptoc.xml

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<?xml version='1.0' encoding="utf-8"?>
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<toc version="2.0">
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<tocitem target="GettingStarted.html">
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Simple Human Pose Estimation
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<tocitem target="https://github.com/matlab-deep-learning">
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GitHub repository
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</tocitem>
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<tocitem target="README.html">
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Human Pose Estimation with Deep Learning
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</tocitem>
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</toc>

src/info.xml

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<!-- Supply the following six elements in the order specified -->
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<!-- (Required) Release of MATLAB. Not currently used but required -->
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<!-- to parse the file -->
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<matlabrelease>2020a</matlabrelease>
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<matlabrelease>2019b</matlabrelease>
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<!-- (Required) Title of toolbox. Appears in the Contents pane -->
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<name>Simple Pose Estimation</name>
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<name>Human Pose Estimation with Deep Learning</name>
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<!-- (Required) Label for the toolbox. pick one: -->
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<!-- matlab, toolbox, simulink, blockset, links_targets -->
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<type>toolbox</type>

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