[go: nahoru, domu]
Skip to content

Latest commit

 

History

History

android

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
app
app
 
 
gradle/wrapper
gradle/wrapper
 
 
README.md
README.md
 
 
build.gradle
build.gradle
 
 
gradle.properties
gradle.properties
 
 
gradlew
gradlew
 
 
gradlew.bat
gradlew.bat
 
 
posenetimage.png
posenetimage.png
 
 
settings.gradle
settings.gradle
 
 

README.md

TensorFlow Lite Pose Estimation Android Demo

Overview

This is an app that continuously detects the body parts in the frames seen by your device's camera. These instructions walk you through building and running the demo on an Android device. Camera captures are discarded immediately after use, nothing is stored or saved.

The app demonstrates how to use 4 models:

  • Single pose models: The model can estimate the pose of only one person in the input image. If the input image contains multiple persons, the detection result can be largely incorrect.
    • PoseNet
    • MoveNet Lightning
    • MoveNet Thunder
  • Multi pose models: The model can estimate pose of multiple persons in the input image.
    • MoveNet MultiPose: Support up to 6 persons.

See this blog post for a comparison between these models.

Demo Image

Build the demo using Android Studio

Prerequisites

  • If you don't have it already, install Android Studio 4.2 or above, following the instructions on the website.

  • Android device and Android development environment with minimum API 21.

Building

  • Open Android Studio, and from the Welcome screen, select Open an existing Android Studio project.

  • From the Open File or Project window that appears, navigate to and select the lite/examples/pose_estimation/android directory from wherever you cloned the tensorflow/examples GitHub repo. Click OK.

  • If it asks you to do a Gradle Sync, click OK.

  • You may also need to install various platforms and tools, if you get errors like Failed to find target with hash string 'android-21' and similar. Click the Run button (the green arrow) or select Run > Run 'android' from the top menu. You may need to rebuild the project using Build > Rebuild Project.

  • If it asks you to use Instant Run, click Proceed Without Instant Run.

  • Also, you need to have an Android device plugged in with developer options enabled at this point. See here for more details on setting up developer devices.

Model used

Downloading, extraction and placement in assets folder has been managed automatically by download.gradle.

If you explicitly want to download the model, you can download it from here:

Additional Note

Please do not delete the assets folder content. If you explicitly deleted the files, then please choose Build > Rebuild from menu to re-download the deleted model files into assets folder.