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README.md

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.

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 camera 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 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

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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