Xamarin: Difference between revisions
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* [https://fiddle.skia.org/named/ Named Fiddles] | * [https://fiddle.skia.org/named/ Named Fiddles] | ||
< | <syntaxhighlight lang="C#" line='line'> | ||
using (new Transform(canvas)) | using (new Transform(canvas)) | ||
{ | { | ||
| Line 37: | Line 37: | ||
} | } | ||
} | } | ||
</ | </syntaxhighlight > | ||
<source lang="cpp"> | <source lang="cpp"> | ||
// Transform point from current transformation matrix to original grid | // Transform point from current transformation matrix to original grid | ||
Revision as of 13:53, 30 January 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>