public void Run()
{
Console.WriteLine("===== FlannTest =====");
// creates data set
using (Mat features = new Mat(10000, 2, MatType.CV_32FC1))
{
Random rand = new Random();
for (int i = 0; i < features.Rows; i++)
{
features.Set <float>(i, 0, rand.Next(10000));
features.Set <float>(i, 1, rand.Next(10000));
}
// query
Point2f queryPoint = new Point2f(7777, 7777);
Mat queries = new Mat(1, 2, MatType.CV_32FC1);
queries.Set <float>(0, 0, queryPoint.X);
queries.Set <float>(0, 1, queryPoint.Y);
Console.WriteLine("query:({0}, {1})", queryPoint.X, queryPoint.Y);
Console.WriteLine("-----");
// knnSearch
using (Index nnIndex = new Index(features, new KDTreeIndexParams(4)))
{
const int Knn = 1;
int[] indices;
float[] dists;
nnIndex.KnnSearch(queries, out indices, out dists, Knn, new SearchParams(32));
for (int i = 0; i < Knn; i++)
{
int index = indices[i];
float dist = dists[i];
Point2f pt = new Point2f(features.Get <float>(index, 0), features.Get <float>(index, 1));
Console.Write("No.{0}\t", i);
Console.Write("index:{0}", index);
Console.Write(" distance:{0}", dist);
Console.Write(" data:({0}, {1})", pt.X, pt.Y);
Console.WriteLine();
}
Knn.ToString();
}
}
Console.Read();
}