See the new YOGA pose estimation Android sample, which demonstrates both Posenet and Movenet models.

Demo

Demo.video.mp4

Yoga Posture detection App (using tenserflowlite posenet library)

Overview

This is an Yoga app that continuously detects the body parts in the frames seen by your device's camera. The yoga app compares the posture of the user with inbuilt yoga poses and allows user to check if he is performing the yoga pose correctly . Camera captures are discarded immediately after use, nothing is stored or saved.

Features Of App

Detects the user's posture in real-time using the device camera and compares it to pre-programmed yoga postures.

*Steps and instructions for Yoga aasan are provided, as well as a timer to calculate the time spent in correct posture.

*When the user's posture matches up to 75%, the Timer starts, and when the posture is distorted, the Timer resets.

*Using the custom yoga position function, users may build their own yoga stance by uploading an image of the posture they wish to compare it to.

*With the inbuilt media player and songs given with the app, users may listen to music while doing yoga.

Build the demo using Android Studio

Prerequisites

• If you don't have it already, install Android Studio 3.2 or later, 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 tensorflow-lite/examples/posenet/android directory from wherever you cloned the TensorFlow Lite sample 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.