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* [https://developer.xamarin.com/guides/android/application_fundamentals/services/part_1_-_started_services/ Part 1 - Started Services] | * [https://developer.xamarin.com/guides/android/application_fundamentals/services/part_1_-_started_services/ Part 1 - Started Services] | ||
* [https://developer.xamarin.com/guides/android/application_fundamentals/services/creating-a-service/started-services/ Started Services with Xamarin.Android] | * [https://developer.xamarin.com/guides/android/application_fundamentals/services/creating-a-service/started-services/ Started Services with Xamarin.Android] | ||
====MvvmCross==== | |||
* [https://github.com/willsb/Mvx.Flashlight Mvx.Flashlight] | |||
* [https://github.com/Cheesebaron/Cheesebaron.MvxPlugins Cheesebaron.MvxPlugins] |
Revision as of 15:23, 10 March 2018
The Accord.NET Image Processing and Machine Learning Framework
Accord.NET is a framework for scientific computing in .NET. The framework is comprised of multiple librares encompassing a wide range of scientific computing applications, such as statistical data processing, machine learning, pattern recognition, including but not limited to, computer vision and computer audition. The framework offers a large number of probability distributions, hypothesis tests, kernel functions and support for most popular performance measurements techniques.* Accord .NET Framework
Facial Recognition
Adding Facial Recognition to Your Mobile Apps By Pierce Boggan
- Adding Facial Recognition to Your Mobile Apps
- Learn how to build smarter mobile apps using Microsoft Cognitive Services & Xamarin
SkiaSharp
<syntaxhighlight lang="C#" line='line'>
using (new Transform(canvas)) {
}
public class Transform : IDisposable { private readonly SKCanvas _canvas;
public Transform(SKCanvas canvas) { _canvas = canvas; canvas.Save(); }
public void Dispose() { _canvas.Restore(); } }
</syntaxhighlight > <source lang="cpp">
// Transform point from current transformation matrix to original grid var originalPoints = new[] { new SKPoint(0, 0) }; var pointInCurrentTransformationMatrix = new[] { new SKPoint(0, 0) }; canvas.TotalMatrix.MapPoints(originalPoints, pointInCurrentTransformationMatrix);
// Transform point from original grid to current transformation matrix canvas.TotalMatrix.TryInvert(out var inverseMatrix); var snappedPixelPointsInCurrentTransformationMatrix = new[] { new SKPoint(0, 0) }; inverseMatrix.MapPoints(snappedPixelPointsInCurrentTransformationMatrix, originalPoints);
</source>