using System; using System.Drawing; using System.Linq; using ZeroLevel.HNSW; using ZeroLevel.HNSW.Services; using ZeroLevel.Services.Mathemathics; namespace HNSWDemo.Tests { public class QuantizeHistogramTest : ITest { private static int Count = 3000; private static int Dimensionality = 128; private static int Width = 3000; private static int Height = 3000; public void Run() { var vectors = VectorUtils.RandomVectors(Dimensionality, Count); var q = new Quantizator(-1f, 1f); var world = SmallWorld.CreateWorld(NSWOptions.Create(8, 16, 200, 200, Metrics.CosineDistance)); world.AddItems(vectors.Select(v => q.QuantizeToLong(v)).ToList()); var distance = new Func((id1, id2) => Metrics.CosineDistance(world.GetVector(id1), world.GetVector(id2))); var weights = world.GetLinks().SelectMany(pair => pair.Value.Select(id => distance(pair.Key, id))); var histogram = new Histogram(HistogramMode.SQRT, weights); histogram.Smooth(); int threshold = histogram.CuttOff(); var min = histogram.Bounds[threshold - 1]; var max = histogram.Bounds[threshold]; var R = (max + min) / 2; DrawHistogram(histogram, @"D:\hist.jpg"); } static void DrawHistogram(Histogram histogram, string filename) { var wb = Width / histogram.Values.Length; var k = ((float)Height) / (float)histogram.Values.Max(); var maxes = histogram.GetMaximums().ToDictionary(m => m.Index, m => m); int threshold = histogram.CuttOff(); using (var bmp = new Bitmap(Width, Height)) { using (var g = Graphics.FromImage(bmp)) { for (int i = 0; i < histogram.Values.Length; i++) { var height = (int)(histogram.Values[i] * k); if (maxes.ContainsKey(i)) { g.DrawRectangle(Pens.Red, i * wb, bmp.Height - height, wb, height); g.DrawRectangle(Pens.Red, i * wb + 1, bmp.Height - height, wb - 1, height); } else { g.DrawRectangle(Pens.Blue, i * wb, bmp.Height - height, wb, height); } if (i == threshold) { g.DrawLine(Pens.Green, i * wb + wb / 2, 0, i * wb + wb / 2, bmp.Height); } } } bmp.Save(filename); } } } }