iOS-11-by-Examples
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👨🏻💻 Examples of new iOS 11 APIs
iOS 11 by Examples 
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Code examples for new APIs of iOS 11.
Note: The project requires Xcode 9, Swift 4 and iOS 11.
Table of contents
- Core ML
- Vision
- ARKit
- Drag and Drop
- Core NFC
- MapKit
- IdentityLookup
- DeviceCheck
- SpriteKit
- Blogs/Newsletter
Core ML
Image classification demo using Core ML framework. Show description of an object on selected photo.
Thanks @hollance for his useful CoreMLHelpers.
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Vision
- Face detection. Detects all faces on selected photo.
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- Face landmarks. An image analysis that finds facial features (such as the eyes and mouth) in an image.
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- Object tracking. Track any object using camera.
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ARKit
Augmented reality experiences in your app or game.
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Drag and Drop
Easy way to move content.
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Core NFC
Reading of NFC tag payloads. Don't forget to enable NFC Tag Reading for App ID in the Apple Developer site.
Note: select CoreNFC-Example scheme and run.
MapKit
New map type, new anotation views and clustering!
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IdentityLookup
SMS and MMS filtering using IdentityLookup framework. Don't forget to turn on an extension in Messages > Unknown & Spam > SMS filtering.
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DeviceCheck
Identifying devices that have already taken advantage of a promotional offer that you provide, or flagging a device that you have determined to be fraudulent.
Note: select DeviceChecking scheme and run.
SpriteKit by mkowalski87
Attributed text for SKLabelNode
and SKTransformNode
.
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Blogs/Newsletter
List of online sources which have mentioned iOS 11 by Examples:
- Digest MBLTDEV - issue #123
- Natasha's This Week in Swift - issue #136
- Indie iOS Focus Weekly - issue #127
- iOS Developers Slack Weekly Digest, June 28, 2017
- iOS Cookies Newsletter - issue #83
- iOSGoodies - issue #187
- iOS Dev Weekly - issue #307
- WeeklyCocoa.News - 31st week of 2017
- Natasha's This Week in Swift - issue #143
- #iOSCocoaTreats - Oct 5 2017
Author
Artem Novichkov, https://www.artemnovichkov.com/about
License
The project is available under the MIT license. See the LICENSE file for more info.