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README.md

Automatic Background Replacement with People Segmentation

Codeship Status for fritzlabs/fritz-sdk-android Twitter

In this app, we create a mask of a person and then replace the background with any picture in the camera gallery.

For the full tutorial, visit our post on Heartbeat.

This example app uses the on-device People Segmentation API for Android.

Fritz AI

Fritz AI is the machine learning platform for iOS and Android developers. Teach your mobile apps to see, hear, sense, and think. Start with our ready-to-use feature APIs or connect and deploy your own custom models.

Requirements

  • Android Studio 3.2 or above
  • Android device in developer model (USB debugging enabled)

Getting Started

Step 1: Create a Fritz AI Account

Sign up for a free account on Fritz AI in order to get started.

Step 2: Clone / Fork the fritz-examples repository and open the BackgroundReplacementApp app in Android Studio

git clone https://github.com/fritzlabs/fritz-examples.git

In Android Studio, choose "Open an existing Android Studio project" and select BackgroundReplacementApp.

Step 3: Build the Android Studio Project

Select "Build > Make Project" from the top nav. Download any missing libraries if applicable. This should sync the gradle dependencies so give the build a second to complete.

Step 4: Install the app onto your device

With your Android device connected, select Run > Run App from the top nav. When running the app for the first time, you'll have to give permissions to access the camera. After the app is installed and running, take a picture of a person and then after that mask is created, select a photo from your camera gallery to replace the background.

Official Documentation

SDK Documentation

Android API Docs

Join the community

Heartbeat is a community of developers interested in the intersection of mobile and machine learning. Chat with us in Slack and stay up to date on the latest mobile ML news with our Newsletter.

Help

For any questions or issues, you can:

  • Submit an issue on this repo
  • Go to our Help Center
  • Message us directly in Slack
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