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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

• Skia Fiddle
• Named Fiddles

<source lang="cpp">

   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();
       }
   }

</source> <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>

Android services

• Android services
• Part 1 - Started Services
• Started Services with Xamarin.Android