Fritz Android Tutorials Save Abandoned

A collection of experiences utilizing machine learning models with Fritz

Project README

Examples for Android

DEPRECATED Please note that as of 9/28/2019, we have moved our official Android Demo apps to https://github.com/fritzlabs/fritz-examples/tree/master/Android. Any new examples or updates to the demo apps going forward will be under that repository.

Codeship Status for fritzlabs/fritz-sdk-android Twitter

Fritz AI is the machine learning platform for iOS and Android developers. Teach your mobile apps to see, hear, sense, and think. Sign up for a Fritz AI account to see how you can include machine learning features in your app.

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 (code) and TensorFlow Mobile (code) for Android.

Example Apps

If you are new to Fritz, it's recommended to get started with our Fritz AI Studio app. You can also install the latest version from the Google Play Store:

  • Fritz AI Studio App - Our kitchen sink project showcases all on-device Vision APIs and Custom Model usage.
  • Camera Boilerplate App - Our lightweight camera app to quickly get started implementing features with the camera.
  • Background Replacement App [People Segmentation] - An example app to replace the background of portraits (tutorial).
  • Sky Animation App [Sky Segmentation] - A simple photo app that replaces the sky with an animation. (Tutorial coming soon)
  • Hair Coloring App [Hair Segmentation] - An example app to replace a user's hair color (tutorial).
  • Pet Monitoring App [Object Detection] - An example app to track dogs and cats with the camera (tutorial).
  • Pet Sticker App [Pose Estimation] - Create a sticker from photos of your pets. (Tutorial coming soon)
  • Pose Estimation App [Pose Estimation] - Track body movements and position with Pose Estimation (tutorial).

Latest SDK version

  • Fritz Android SDK 3.3.1

Official Documentation

SDK Documentation

Android API Docs

Stay in touch with Fritz AI

To keep tabs on what we’re up to, and for an inside look at the opportunities, challenges, and tools for mobile machine learning, subscribe to the Fritz AI Newsletter.

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 industry news, trends, and more by subscribing to Deep Learning Weekly.

Help

For any questions or issues, you can:

  • Submit an issue on this repo
  • Go to our Help Center
  • Message us directly in Slack
Open Source Agenda is not affiliated with "Fritz Android Tutorials" Project. README Source: fritzlabs/fritz-android-tutorials
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