async void StartSimulation()
{
int kase_self = System.Threading.Interlocked.Increment(ref kase);
await Task.Run(() =>
{
List <IPointsProvider> points_providers = source_image_panel.GetImages().Select(i => new ImageD_Providers.ImageD_Cache(i.ToImageD()) as IImageD_Provider).Select(i => new PointsProviders.MSOP_DescriptorVector(new PointsProviders.HarrisCornerDetector(i), new MatrixProviders.GrayScale(i)) as IPointsProvider).ToList();
List <IImageD_Provider> image_providers = source_image_panel.GetImages().Select((i, idx) => new ImageD_Providers.PlotPoints(new ImageD_Providers.ImageD_Cache(i.ToImageD()), points_providers[idx]) as IImageD_Provider).ToList();
var provider = new PlaneImages(image_providers, 1000, 600);
image_container.Dispatcher.Invoke(() => image_container.Content = new ImageViewer(provider, false));
LogPanel.Log("searching features...");
provider.GetImageD();
LogPanel.Log("matching...");
var points = points_providers.Select(pp => pp.GetPoints().Select(ps => (ps as ImagePoint <PointsProviders.MSOP_DescriptorVector.Descriptor>)).ToList()).ToList();
for (int i = 0; i < points.Count; i++)
{
for (int j = i + 1; j < points.Count; j++)
{
List <ImagePoint <PointsProviders.MSOP_DescriptorVector.Descriptor> > p1s = points[i], p2s = points[j];
List <Tuple <double, double, double, double, double> > candidates = new List <Tuple <double, double, double, double, double> >();
foreach (var p1 in p1s)
{
if (p1.content.try_match(p2s, out ImagePoint p2))
{
candidates.Add(Tuple.Create(p1.content.difference((p2 as ImagePoint <PointsProviders.MSOP_DescriptorVector.Descriptor>).content), p1.x, p1.y, p2.x, p2.y));
}
}
candidates.Sort((p1, p2) => p1.Item1.CompareTo(p2.Item1));
for (int k = 0; k < candidates.Count; k++)
{
var c = candidates[k];
PlaneImage.AddSpring(provider.images[i], provider.images[j], c.Item2, c.Item3, c.Item4, c.Item5);
}
}
}
LogPanel.Log("ok");
while (kase_self == kase)
{
provider.update_speed(0.1);
provider.update_position();
provider.ResetSelf();
provider.GetImageD();
}
});
}
async void StartSimulation()
{
int kase_self = System.Threading.Interlocked.Increment(ref kase);
await Task.Run(() =>
{
var images = source_image_panel.GetImages();
List <IPointsProvider> points_providers = images.Select(i => new ImageD_Providers.ImageD_Cache(i.ToImageD()) as IImageD_Provider).Select(i => new PointsProviders.MSOP_DescriptorVector(new PointsProviders.HarrisCornerDetector(i), new MatrixProviders.GrayScale(i)) as IPointsProvider).ToList();
List <IImageD_Provider> image_providers = images.Select((i, idx) => new ImageD_Providers.PlotPoints(new ImageD_Providers.ImageD_Cache(i.ToImageD()), points_providers[idx]) as IImageD_Provider).ToList();
var global_viewer = new Func <PlaneImages>(() =>
{
return(new PlaneImages(image_providers, 5000, 600));
})();
int n = global_viewer.images.Count;
image_container.Dispatcher.Invoke(() => image_container.Content = new ImageViewer(global_viewer, false));
LogPanel.Log("searching features...");
Parallel.For(0, n, i => image_providers[i].GetImageD());
global_viewer.GetImageD();
LogPanel.Log("matching...");
var points = points_providers.Select(pp => pp.GetPoints().Select(ps => (ps as ImagePoint <PointsProviders.MSOP_DescriptorVector.Descriptor>)).ToList()).ToList();
var get_displacement = new Func <int, int, Tuple <double, double, int> >((i, j) =>
{
List <ImagePoint <PointsProviders.MSOP_DescriptorVector.Descriptor> > p1s = points[i], p2s = points[j];
List <Tuple <double, double, double, double> > candidates = new List <Tuple <double, double, double, double> >();
Parallel.For(0, p1s.Count, _ =>
{
var p1 = p1s[_];
if (p1.content.try_match(p2s, out ImagePoint p2))
{
IImageD_Provider me = image_providers[i], other = image_providers[j];
lock (candidates) candidates.Add(new Tuple <double, double, double, double>(
p1.x - 0.5 * me.GetImageD().width,
p1.y - 0.5 * me.GetImageD().height,
p2.x - 0.5 * other.GetImageD().width,
p2.y - 0.5 * other.GetImageD().height));
//candidates.Add(Tuple.Create(p1.content.difference((p2 as ImagePoint<PointsProviders.MSOP_DescriptorVector.Descriptor>).content), p1.x, p1.y, p2.x, p2.y));
}
});
var ans = Utils.VoteInliners(candidates, 10);
return(new Tuple <double, double, int>(
ans.Average(_ =>
{
var v = candidates[_];
return v.Item3 - v.Item1;
}),
ans.Average(_ =>
{
var v = candidates[_];
return v.Item4 - v.Item2;
}), ans.Count));
});
{
bool[] vis = new bool[n];
SortedSet <Tuple <int, int, Tuple <double, double, int> > > edge_list = new SortedSet <Tuple <int, int, Tuple <double, double, int> > >(new comparer1());
var add_edges = new Action <int>(u =>
{
Parallel.For(0, n, i =>
{
if (!vis[i])
{
var edge = new Tuple <int, int, Tuple <double, double, int> >(u, i, get_displacement(u, i));
lock (edge_list) edge_list.Add(edge);
}
});
});
vis[0] = true; global_viewer.images[0].set_position(0, 0);
add_edges(0);
while (edge_list.Count > 0)
{
var edge = edge_list.First(); edge_list.Remove(edge);
if (vis[edge.Item2])
{
continue;
}
LogPanel.Log($"edge: {edge.Item1} → {edge.Item2}");
vis[edge.Item2] = true;
var u = global_viewer.images[edge.Item1];
global_viewer.images[edge.Item2].set_position(u.center_x - edge.Item3.Item1, u.center_y - edge.Item3.Item2);
add_edges(edge.Item2);
}
}
global_viewer.move_to_center();
global_viewer.ResetSelf();
global_viewer.GetImageD();
LogPanel.Log("ok");
});
}
async void StartSimulation()
{
//for (int seed = 0; seed < 100; seed++)
//{
// int n = Utils.Rand(10, 100);
// double[,] m = Utils.MatrixRandom(n, n,-10,10, seed);
// double[,] i = Utils.MatrixInverse(m);
// double[,] I = Utils.MatrixIdentity(n);
// double[,] p = Utils.MatrixProduct(m, i);
// System.Diagnostics.Trace.Assert(Utils.MatrixAreEqual(p, I, 1.0E-8));
//}
int kase_self = System.Threading.Interlocked.Increment(ref kase);
var image_providers = source_image_panel.GetImages().Select(i => new ImageD_Providers.ImageD_Cache(i.ToImageD()) as IImageD_Provider).ToList();
while (image_providers.Any(p => { var i = p.GetImageD(); return(i.width * i.height > 1000000); }))
{
LogPanel.Log($"scaling down...");
Parallel.For(0, image_providers.Count, i =>
{
var p = image_providers[i];
image_providers[i] = new ImageD_Providers.ImageD_Cache(new ImageD_Providers.Scale(new ImageD_Providers.GaussianBlur(p, 0.5), 0.5).GetImageD());
});
}
var global_viewer = new CorrectiveCylinderImages(image_providers, pixel_width, pixel_height);
image_container.Content = new ScrollViewer
{
HorizontalScrollBarVisibility = ScrollBarVisibility.Auto,
VerticalScrollBarVisibility = ScrollBarVisibility.Disabled,
Content = new ImageViewer(global_viewer, false)
};
await Task.Run(() =>
{
global_viewer.InitializeOnPlane();
// stage1: false false false
// stage2: true false false
// stage3: false false false (roll back to stage1)
// stage4: true true false
// stage5: true false false (roll back to stage2)
// stage6: false false false (roll back to stage1)
// stage7: ...
(int, int)prev_freedom = (-1, -1);
int freedom = 1, cached_freedom = 1;
for (DateTime time = DateTime.MinValue; ;)
{
//freedom = cached_freedom = 10;
if (prev_freedom != (freedom, cached_freedom))
{
prev_freedom = (freedom, cached_freedom);
LogPanel.Log($"refine #{global_viewer.refine_count+1}: freedom: {freedom} ← {cached_freedom} / {CorrectiveCylinderImages.maximum_freedom}");
}
bool verbose = false;
if ((DateTime.Now - time).TotalSeconds > 30)
{
verbose = true;
}
bool result = global_viewer.Refine(freedom + (Utils.RandDouble() < 0.01 ? (Utils.RandDouble() < 0.5 ? 1 : 2) : 0), verbose);
if (!result)
{
if (freedom > 1)
{
freedom--;
}
else
{
freedom = cached_freedom = cached_freedom + 1;
}
}
else if (freedom < cached_freedom)
{
cached_freedom = freedom;
}
if (freedom > CorrectiveCylinderImages.maximum_freedom)
{
//System.Diagnostics.Trace.Assert(freedom == 7);
LogPanel.Log("done. generating image...");
System.Diagnostics.Trace.Assert(!global_viewer.Refine(CorrectiveCylinderImages.maximum_freedom, true));
for (int i = 0; i < global_viewer.cylinder_images.Count; i++)
{
LogPanel.Log($"params of image[{i}]:");
LogPanel.Log(global_viewer.cylinder_images[i].transform.ToString());
}
LogPanel.Log("ok.");
return;
}
//if (verbose)
//{
// for (int i = 1; i <= CorrectiveCylinderImages.maximum_freedom; i++)
// {
// if (!global_viewer.Test(i, false)) LogPanel.Log($"problem entry: {i}");
// else LogPanel.Log($"entry {i} seems ok.");
// }
//}
if (verbose)
{
time = DateTime.Now;
}
}
});
}
