Swift World This Week ( 07.24 — 07.30 )

Photo by Matthew Kane on Unsplash

Machine Learning

1. Pros and cons of iOS machine learning APIs

there are a lot of ways to do machine learning on iOS. Core ML is definitely the first thing you should try. And if your model is not supported by Core ML, it is usually possible to get it working using TensorFlow or Metal.

2. GitHub — kingreza/SeeFood: Inspired by HBO’s Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

ARKit

1. Building an AR game with ARKit and Spritekit — Pusher Blog

There are two great things about ARKit. One is that with a few lines of code we can create amazing AR apps, and second, we can leverage our knowledge of SpriteKit and SceneKit.

2. Apple ARKit by Example — Mark Dawson

• Part 1 — Getting setup, draw a cube in virtual reality
• Part 2 — Plane Detection and Visualization
• Part 3 — Adding geometry and physics fun
• Part 4 — Physically Based Rendering

3. How I built it: Visualizing Foursquare check-ins with Mapbox + ARKit

4. GitHub — ProjectDent/ARKit-CoreLocation: Combines the high accuracy of AR with the scale of GPS data.

5. GitHub — Boris-Em/ARCharts: Lovely Augmented Reality Charts for iOS — Built with ARKit

CI&CD

1. Deploying your app on a weekly basis via fastlane + Travis CI — Artsy Engineering
2. GitHub — yonaskolb/XcodeGen: Swift CI tool for generating Xcode projects from a YAML file

Foundation

1. mikeash.com: Friday Q&A 2017–07–28: A Binary Coder for Swift

Animation

1. Building a declarative animation framework in Swift — Part 1 — Swift by Sundell
2. Building a declarative animation framework in Swift — Part 2 — Swift by Sundell

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