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README.md

Fritz Demo App

Codeship Status for fritzlabs/fritz-sdk-android Twitter

Fritz is the machine learning platform for iOS and Android developers. This is our kitchen-sink application that showcases all the different ML features provided by Fritz as well as examples on using custom models.

To download the latest version from the Google Play Store, please visit our app page.

Vision API: Prebuilt models that you can simply drop into your apps:

Custom Models: Deploy, Monitor, and Update your own models:

We currently support both TensorFlow Lite and TensorFlow Mobile for Android.

Requirements

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

Getting Started

Step 1: Create a Fritz Account

In order to use Fritz, please register for a free account.

Step 2: Clone / Fork the fritz-android-tutorials repository and open the demo app in Android Studio

git clone https://github.com/fritzlabs/fritz-android-tutorials.git

In Android Studio, choose "Open an existing Android Studio project" and select fritz-demo-app.

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. After it's installed, select any of the options to try out the different ML features. When running the app for the first time, you'll have to give permissions to access the camera.

Official Documentation

SDK Documentation

Android API Docs

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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