Skip to content
Branch: master
Find file History
Latest commit 7cb2742 May 7, 2019

Camera Boilerplate

Codeship Status for fritzlabs/fritz-sdk-android Twitter

Fritz is the machine learning platform for iOS and Android developers. In order to run computer vision models or tasks, you have to dive into the Camera 2 API. In order to make it easier for developers to try out ML models, we've created a simple camera app to get started.

For a full list tutorials, please visit our examples and tutorials page.


  • 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 camera app in Android Studio

git clone

In Android Studio, choose "Open an existing Android Studio project" and select skeleton-live-video-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. You should see a simple camera app for you to play around with.

In future tutorials, we'll use this as a starting point in order to run the model on each camera frame and show the result.

Official Documentation

SDK Documentation

Android API Docs


For any questions or issues, you can:

  • Submit an issue on this repo
  • Go to our Help Center
  • Message us directly in Slack
You can’t perform that action at this time.