Xamarin
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
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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>
Android services
Android Emulator
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MvvmCross
UWP
- Microsoft.Net.Native.SharedLibrary-x64
- Using SuspensionManager for Saving Application State
- UWP Community Toolkit