зеркало из https://github.com/xamarin/ios-samples.git
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Assets.xcassets | ||
Screenshots | ||
AppDelegate.cs | ||
Breakfast Finder Logo.png | ||
BreakfastFinder.csproj | ||
BreakfastFinder.sln | ||
Entitlements.plist | ||
Info.plist | ||
LICENSE.txt | ||
LaunchScreen.storyboard | ||
Main.cs | ||
Main.storyboard | ||
Metadata.xml | ||
ObjectDetector.cs | ||
ObjectDetector.mlmodel | ||
README.md | ||
ViewController.cs | ||
VisionObjectRecognitionViewController.cs | ||
VisionObjectRecognitionViewController.designer.cs |
README.md
Breakfast Finder
This sample is a C# port of Apple's Recognizing Objects in Live Capture sample app.
It demonstrates how to use the Vision framework and Core ML in iOS 12 to recognize objects in live video.
Usage
Note: This sample will not run a simulator. It must be run on a physical device running iOS 12 or later.
- Start the app, which opens a camera view.
- Point the camera towards breakfast foods of various kinds: a cup of coffee, an egg, a banana, a waffle, or a croissant.
- The app will highlight and identify the breakfast foods it recognizes in the live video.
License
Xamarin port changes are released under the MIT license.
Author
Ported to Xamarin.iOS by Brad Umbaugh