Would you like to use a fully-functional camera in an iOS application in seconds? Would you like to do CoreML image recognition in just a few more seconds on the same camera? Lumina is here to help.

Cameras are used frequently in iOS applications, and the addition of CoreML and Vision to iOS 11 has precipitated a rash of applications that perform live object recognition from images - whether from a still image or via a camera feed.

Lumina can: - capture still images - capture videos - capture live photos - capture depth data for still images from dual camera systems - stream video frames to a delegate - scan any QR or barcode and output its metadata - detect the presence of a face and its location - use any CoreML compatible model to stream object predictions from the camera feed

Monthly Downloads: 0
Programming language: Swift
License: MIT License
Tags: Camera     Utility     AI     iOS     Barcode     SwiftLang    

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Recently added Lumina resources

  • The Core ML and Vision frameworks are two of the most impressively powerful additions in iOS 11, but they are also two of the most complex – there's a big learning curve to get even basic applications working, and that can be off-putting for newcomers. While one option is to buy a good book (gratuitous plug), another is just to dive in with some code, and that's where David Okun's new Lumina framework comes in.
    Article  Added by dokun1 // www.hackingwithswift.com // about 1 year ago
  • In this article, David Okun, the creator of Lumina, goes over how you can use Lumina to get up and running with CoreML in no time flat.
    Article  Added by dokun1 // okun.io // about 1 year ago