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Deeper into ARKit with CoreML and Turi Create

Soojin Ro
Soojin Ro

Have you ever tried to make something cool and fun with ARKit, only to find out there is a missing piece? Then this talk is for you. I struggled to make my first AR app (Notable Me), but CoreML and Turi Create was there for me. This framework and tool allowed me to create something I never knew I could make. I will share all the lessons I learned from developing this app, focusing on how to utilize machine learning into an ARKit app. Also how to unlock hidden features of Turi Create, Apple’s Open Source tool for easily creating custom ML models, to drastically improve the quality.

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Deeper into ARKit
with CoreML
and Turi Create
Soojin Ro
Notable Me
Deeper into ARKit with CoreML and Turi Create
AR Image Tracking
https://developer.apple.com/documentation/arkit/detecting_images_in_an_ar_experience
Machine Learning
https://developer.apple.com/machine-learning/
Face Realtime Detection
Face Contour Detection
Artistic Style Transfer
AVFoundation
Face Realtime Detection
AVMetadataFaceObject
let session = AVCaptureSession()
let metadataOutput = AVCaptureMetadataOutput()
if session.canAddOutput(metadataOutput) {
session.addOutput(metadataOutput)
if metadataOutput.availableMetadataObjectTypes.contains(.face) {
metadataOutput.metadataObjectTypes = [.face]
}
} else {
setupResult = .configurationFailed
session.commitConfiguration()
return
}
var outputSynchronizer: AVCaptureDataOutputSynchronizer?
outputSynchronizer = AVCaptureDataOutputSynchronizer(dataOutputs: [videoDataOutput, metadataOutput])
outputSynchronizer?.setDelegate(self, queue: dataOutputQueue)

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Deeper into ARKit with CoreML and Turi Create