SBB Mobile Machine Learning for iOS devices

by iOS Example

ESTA library: Machine Learning for iOS



This framework simplifies the integration of SBB generated CoreML ObjectDetection models into iOS Apps using Combine. It displays a CameraStream Preview in your SwiftuI View and publishes detected objects, which you can then draw over the CameraStream Preview or use for further app logic.

Minimum supported iOS Version

  • iOS 14.0

Add the library to your project with Swift package manager

Start by adding the SBBML package to your project using Swift Package Manager.

For HTTPS:

https://github.com/SchweizerischeBundesbahnen/mobile-ios-ml.git

For SSH:

ssh://git@github.com:SchweizerischeBundesbahnen/mobile-ios-ml.git

How to use

The main documentation (DocC) on how to use SBB ML can be created directly from the project in XCode by selecting “Product” -> “Build Documentation”.

Documentation

  • DocC documentation can be created in XCode by selecting “Product” -> “Build Documentation”.
  • Sample app SBB ML Demo is included in Xcode project.

SBB internal documentation

A the moment, the following documents are only available to persons internal to SBB:

  • AppBakery libraries
  • SBB ML Bitbucket contains the following documentation: DocC documentation can be created in XCode by selecting “Product” -> “Build Documentation”.
  • Sample app SBB ML Demo is included in Xcode project

Getting help

If you need help, you can reach out to us by e-mail: mobile@sbb.ch

Getting involved

Generally speaking, we are welcoming contributions improving existing UI elements or fixing certain bugs. We will also consider contributions introducing new design elements, but might reject them, if they do not reflect our vision of SBB Design System.

General instructions on how to contribute can be found under Contributing.

Authors

  • Brunner Nicolas

License

Code released under the MIT.

GitHub

View Github