public void Drawer_HappyPath_IsHappy()
{
ReadonlyBitmap.Set(new Bitmap(10, 10));
using (var writer = new Drawer(ReadonlyBitmap.Get()))
{
writer.DrawVoronoi(Fortunes.Run(9, 9, new[] { new Point2D(0, 0), new Point2D(5, 5) }));
writer.SaveToNewImageFile("a.png", Directory.GetCurrentDirectory());
writer.SaveToNewImageFile("a.png", Directory.GetCurrentDirectory());
}
}
public void CalculateRegionsDeltaEList_SameImage_ExpectZero()
{
var originalBitmap = new Bitmap(TestImageDirectory + "WhitePicture_test.png");
ReadonlyBitmap.Set(originalBitmap);
var squareRegionofPoints = GetIntPoint2DListOfRegion();
var site = new IntPoint2D(25, 25);
var imageComparer = new ImageComparer();
var allDeltaEList = imageComparer.CalculateRegionsDeltaEList(ReadonlyBitmap.Get(), squareRegionofPoints, site);
Assert.AreEqual(0.0, allDeltaEList.Average());
}
private static void Run(int iterations, Bitmap newImage, string fileName, string fileDirectory, int numberOfPointsToPlot)
{
ReadonlyBitmap.Set(newImage);
var nums = Enumerable.Range(0, iterations).ToArray();
var result = new ConcurrentDictionary <VoronoiOutput, double>();
Parallel.ForEach(nums, _ =>
{
var voronoiOutput = Fortunes.Run(ReadonlyBitmap.Get().Width, ReadonlyBitmap.Get().Height, numberOfPointsToPlot);
var averageDeltaE = voronoiOutput.CalculateAccuracy();
result.TryAdd(voronoiOutput, averageDeltaE);
});
var bestVoronoi = result.Aggregate((l, r) => l.Value < r.Value ? l : r).Key;
using (var writer = new Drawer(newImage))
{
writer.DrawVoronoi(bestVoronoi);
writer.SaveToNewImageFile(fileName, fileDirectory);
}
}