/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object can be used to retrieve data from input parameters and
/// to store data in output parameters.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
PointCloud pc = null;
if (!DA.GetData(0, ref pc))
{
return;
}
///Write ErrorMessage eles add box to Box List.
if (!pc.UserDictionary.ContainsKey("ColorGradient"))
{
this.AddRuntimeMessage(GH_RuntimeMessageLevel.Error, "Cloud doesn't contain ColorGradient Information.");
return;
}
List <Color> Colors = Color_Utils.Get_Colors(pc);
List <double> Values = Color_Utils.Get_ColorValues(pc);
DA.SetDataList(0, Colors);
DA.SetDataList(1, Values);
}
/// <summary>
/// Parallel Computing Setup for Code to Execute.
/// </summary>
/// <param name="pointCloud">ByRef PointCloud to Execute Code on.</param>
/// <returns></returns>
public override bool Execute(ref PointCloud pointCloud)
{
//Set Global Variables
LastPercentReported = 0;
PointCounter = 0;
Dict_Utils.CastDictionary_ToArrayDouble(ref pointCloud);
GlobalCloud = pointCloud;
NewCloud = (PointCloud)pointCloud.Duplicate();
// Setup the cancellation mechanism.
po.CancellationToken = cts.Token;
//Create Partitions for multithreading.
var rangePartitioner = System.Collections.Concurrent.Partitioner.Create(0, GlobalCloud.Count, (int)Math.Ceiling((double)GlobalCloud.Count / ProcCount));
//Run MultiThreaded Loop.
Parallel.ForEach(rangePartitioner, po, (rng, loopState) =>
{
//Initialize Local Variables.
/// Get Index for Processor to be able to merge clouds in ProcesserIndex order in the end.
int MyIndex = (int)(rng.Item1 / Math.Ceiling(((double)GlobalCloud.Count / ProcCount)));
/// Initialize Partial PointCloud
PointCloud MyCloud = new PointCloud();
/// Get Total Count Fraction to calculate Operation Percentage.
double totc = (double)1 / GlobalCloud.Count;
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Operation Percentage Report
///Safe Counter Increment.
Interlocked.Increment(ref PointCounter);
///Calculate and Report Percentage.
if (LastPercentReported < ((PointCounter * totc) * 100))
{
LastPercentReported = (int)(5 * Math.Ceiling((double)(PointCounter * totc) * 20));
this.ReportPercent = LastPercentReported;
}
//
Color color = NewCloud[i].Color;
Color newCol = Color_Utils.Blend(color, insV_Color, insV_Pct);
NewCloud[i].Color = newCol;
//
}
//Enable Parrallel Computing Cancellation
po.CancellationToken.ThrowIfCancellationRequested();
}
);
//Dispose of Global Clouds.
GlobalCloud.Dispose();
pointCloud.Dispose();
//Set OutputCloud
pointCloud = (PointCloud)NewCloud.Duplicate();
//Dispose of PointCloud Pieces and NewCloud.
GlobalCloud.Dispose();
NewCloud.Dispose();
//Return True on Finish
return(true);
}
/// <summary>
///
/// </summary>
/// <param name="PointCloud"></param>
/// <param name="Message"></param>
/// <returns></returns>
public override bool Execute(ref PointCloud pointCloud)
{
#region - Initialize Execution
//Set Global Variables
LastPercentReported = 0;
PointCounter = 0;
NewCloud = new PointCloud();
CloudPieces = null;
CloudPieces = new PointCloud[ProcCount];
GlobalCloud = pointCloud;
// Setup the cancellation mechanism.
po.CancellationToken = cts.Token;
//Create Partitions for multithreading.
var rangePartitioner = System.Collections.Concurrent.Partitioner.Create(0, GlobalCloud.Count, (int)Math.Ceiling((double)GlobalCloud.Count / ProcCount));
Dict_Utils.CastDictionary_ToArrayDouble(ref GlobalCloud);
////
//Initialize ColorGradient
Interval Itv = new Interval();
Bitmap bmp = new Bitmap(1000, 1);
Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
System.Drawing.Drawing2D.ColorBlend cb = new System.Drawing.Drawing2D.ColorBlend();
float[] pos = new float[insV_Colors.Count];
for (int i = 0; i <= pos.Length - 1; i += 1)
{
pos[i] = (float)insV_Values[i];
}
Color[] colors = insV_Colors.ToArray();
Array.Sort(pos, colors);
Array.Sort(pos, pos);
float[] normpos = new float[insV_Colors.Count];
Itv = new Interval(pos[0], pos[pos.Length - 1]);
for (int i = 0; i <= normpos.Length - 1; i += 1)
{
normpos[i] = (float)Itv.NormalizedParameterAt(pos[i]);
}
cb.Positions = normpos;
cb.Colors = colors;
System.Drawing.Drawing2D.LinearGradientBrush lin = new System.Drawing.Drawing2D.LinearGradientBrush(rect, Color.Black, Color.Black, 0, false);
lin.LinearColors = colors;
lin.InterpolationColors = cb;
ColVal = null;
ColVal = new Color[bmp.Width];
int counter = 0;
using (Graphics g = Graphics.FromImage(bmp))
{
g.FillRectangle(lin, rect);
for (int i = 0; i <= bmp.Width - 1; i += 1)
{
Color col = bmp.GetPixel(i, 0);
ColVal[counter] = col;
counter += 1;
}
}
////
//Get Dictionary Values from PointCloud
List <double> DictVal = new List <double>();
DictVal.AddRange((double[])GlobalCloud.UserDictionary[insV_Key]);
//Get idx to multiply with for normalized values.
int idx = ColVal.Length - 1;
//Run MultiThreaded Loop.
Parallel.ForEach(rangePartitioner, po, (rng, loopState) =>
{
//Initialize Local Variables.
/// Get Index for Processor to be able to merge clouds in ProcesserIndex order in the end.
int MyIndex = (int)(rng.Item1 / Math.Ceiling(((double)GlobalCloud.Count / ProcCount)));
/// Initialize Partial PointCloud
PointCloud MyCloud = new PointCloud();
/// Get Total Count Fraction to calculate Operation Percentage.
double totc = (double)1 / GlobalCloud.Count;
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Operation Percentage Report
///Safe Counter Increment.
Interlocked.Increment(ref PointCounter);
///Calculate and Report Percentage.
if (LastPercentReported < ((PointCounter * totc) * 100))
{
LastPercentReported = (int)(5 * Math.Ceiling((double)(PointCounter * totc) * 20));
this.ReportPercent = LastPercentReported;
}
#endregion - End of Initialize Execution
#region - Code to Process on PointCloud.
double thisnorm = new double();
if (insV_Step <= 0.0)
{
thisnorm = Itv.NormalizedParameterAt(DictVal[i]);
}
else
{
thisnorm = Itv.NormalizedParameterAt((Math.Floor((DictVal[i] - Itv[0]) / insV_Step) * insV_Step) + Itv[0]);
}
Color col = new Color();
if (thisnorm < (0.0000000))
{
col = ColVal.First();
}
else if (thisnorm > (1.0000000)) //+ Rhino.RhinoDoc.ActiveDoc.ModelAbsoluteTolerance)
{
col = ColVal.Last();
}
else
{
col = ColVal[(int)(thisnorm * idx)];
}
if (insV_ColPct >= 0.0)
{
col = Color_Utils.Blend(GlobalCloud[i].Color, col, insV_ColPct);
}
MyCloud.Add(GlobalCloud[i].Location, col);
#endregion - End of Code to Process on PointCloud.
#region - Finalize Execution
}
//Add MyCloud to CloudPieces at ProcesserIndex.
CloudPieces[(int)MyIndex] = MyCloud;
//Enable Parrallel Computing Cancellation
po.CancellationToken.ThrowIfCancellationRequested();
}
);
//Merge PointCloud Pieces into One PointCloud.
Cloud_Utils.MergeClouds(ref NewCloud, CloudPieces);
//Set UserDictionary from DictionaryLists.
Dict_Utils.SetUserDict_FromOtherCloud(ref NewCloud, GlobalCloud);
//Set ColorGradient UserData
List <double> gradVals = new List <double>();
List <Color> gradCols = new List <Color>();
if (insV_Step > 0.00)
{
for (int i = 0; i < pos.Length; i++)
{
double gradVal = (Math.Floor((pos[i] - Itv[0]) / insV_Step) * insV_Step) + Itv[0];
if (!gradVals.Contains(gradVal))
{
Color gradCol = ColVal[(int)(Itv.NormalizedParameterAt(gradVal) * idx)];
gradVals.Add(gradVal);
gradCols.Add(gradCol);
}
}
double lastVal = (Math.Ceiling((pos[pos.Length - 1] - Itv[0]) / insV_Step) * insV_Step) + Itv[0];
if (!gradVals.Contains(lastVal))
{
Color gradCol = ColVal[(int)(Itv.NormalizedParameterAt(pos[pos.Length - 1]) * idx)];
gradVals.Add(lastVal);
gradCols.Add(gradCol);
}
}
else
{
gradVals = insV_Values;
gradCols = insV_Colors;
}
Color_Utils.Set_ColorGradient_Dict(ref NewCloud, gradCols, gradVals);
//Dispose of Global Clouds.
GlobalCloud.Dispose();
pointCloud.Dispose();
//Set OutputCloud
pointCloud = (PointCloud)NewCloud.Duplicate();
//Dispose of PointCloud Pieces and NewCloud.
CloudPieces = null;
NewCloud.Dispose();
#endregion - End of Finalize Execution
//Return True on Finish
return(true);
}
/// <summary>
/// Parallel Computing Setup for Code to Execute.
/// </summary>
/// <param name="pointCloud">ByRef PointCloud to Execute Code on.</param>
/// <returns></returns>
public override bool Execute(ref PointCloud pointCloud)
{
//Set Global Variables
LastPercentReported = 0;
PointCounter = 0;
Dict_Utils.CastDictionary_ToArrayDouble(ref pointCloud);
GlobalCloud = pointCloud;
NewCloud = (PointCloud)pointCloud.Duplicate();
Array.Resize(ref Distances, pointCloud.Count);
Array.Resize(ref ApproachAngle, pointCloud.Count);
double halfpi = Math.PI / 2;
// Setup the cancellation mechanism.
po.CancellationToken = cts.Token;
//Create Partitions for multithreading.
var rangePartitioner = System.Collections.Concurrent.Partitioner.Create(0, GlobalCloud.Count, (int)Math.Ceiling((double)GlobalCloud.Count / ProcCount));
//Run MultiThreaded Loop.
Parallel.ForEach(rangePartitioner, po, (rng, loopState) =>
{
//Initialize Local Variables.
/// Get Index for Processor to be able to merge clouds in ProcesserIndex order in the end.
int MyIndex = (int)(rng.Item1 / Math.Ceiling(((double)GlobalCloud.Count / ProcCount)));
/// Initialize Partial PointCloud
PointCloud MyCloud = new PointCloud();
/// Get Total Count Fraction to calculate Operation Percentage.
double totc = (double)1 / GlobalCloud.Count;
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Operation Percentage Report
///Safe Counter Increment.
Interlocked.Increment(ref PointCounter);
///Calculate and Report Percentage.
if (LastPercentReported < ((PointCounter * totc) * 100))
{
LastPercentReported = (int)(5 * Math.Ceiling((double)(PointCounter * totc) * 20));
this.ReportPercent = LastPercentReported;
}
//
PointCloudItem GlobalCloudItem = GlobalCloud[i];
Point3d p3 = GlobalCloudItem.Location;
Point3d pm = new Point3d();
Vector3d pv = new Vector3d();
insV_Mesh.ClosestPoint(p3, out pm, out pv, 0);
double d = p3.DistanceTo(pm);
if (Vector3d.VectorAngle(pv, new Vector3d(pm - p3)) < halfpi)
{
d = -d;
}
Distances[i] = d;
if (insV_ApproachAngle)
{
Point3d pos = (Point3d)insV_PositionPt;
Vector3d scanVec = new Vector3d(p3 - pos);
double appA = Math.Abs(halfpi - Vector3d.VectorAngle(pv, scanVec));
ApproachAngle[i] = appA;
}
}
//Enable Parrallel Computing Cancellation
po.CancellationToken.ThrowIfCancellationRequested();
}
);
//Dispose of Global Clouds.
GlobalCloud.Dispose();
pointCloud.Dispose();
//Set OutputCloud
NewCloud.UserDictionary.Set(insV_Key, Distances);
NewCloud.UserDictionary.Set(insV_AngleKey, ApproachAngle);
//Colorize
if (insV_Colorize)
{
List <double> colorValues = Color_Utils.ColorValues_Std_negpos(NewCloud, insV_Key);
List <Color> Colors = Color_Utils.ColorGradient_Std_BtoR();
Instruction.Instr_Dict_Color col = new Instruction.Instr_Dict_Color(insV_Key, colorValues, Colors, -1, 0.00);
Boolean ColResult = col.Execute(ref NewCloud);
//Set ColorGradient UserData
Color_Utils.Set_ColorGradient_Dict(ref NewCloud, Colors, colorValues);
}
pointCloud = (PointCloud)NewCloud.Duplicate();
//Dispose of PointCloud Pieces and NewCloud.
GlobalCloud.Dispose();
NewCloud.Dispose();
//Return True on Finish
return(true);
}
/// <summary>
/// Parallel Computing Setup for Code to Execute.
/// </summary>
/// <param name="pointCloud">ByRef PointCloud to Execute Code on.</param>
/// <returns></returns>
public override bool Execute(ref PointCloud pointCloud)
{
//Set Global Variables
LastPercentReported = 0;
PointCounter = 0;
Dict_Utils.CastDictionary_ToArrayDouble(ref pointCloud);
GlobalCloud = pointCloud;
NewCloud = (PointCloud)pointCloud.Duplicate();
tree = insV_KDTree.Value.Item1;
cloudTo = insV_KDTree.Value.Item2.Value;
pts = pointCloud.GetPoints();
Array.Resize(ref Distances, pointCloud.Count);
// Setup the cancellation mechanism.
po.CancellationToken = cts.Token;
//Create Partitions for multithreading.
var rangePartitioner = System.Collections.Concurrent.Partitioner.Create(0, GlobalCloud.Count, (int)Math.Ceiling((double)GlobalCloud.Count / ProcCount));
//Run MultiThreaded Loop.
Parallel.ForEach(rangePartitioner, po, (rng, loopState) =>
{
//Initialize Local Variables.
/// Get Index for Processor to be able to merge clouds in ProcesserIndex order in the end.
int MyIndex = (int)(rng.Item1 / Math.Ceiling(((double)GlobalCloud.Count / ProcCount)));
/// Initialize Partial PointCloud
PointCloud MyCloud = new PointCloud();
/// Get Total Count Fraction to calculate Operation Percentage.
double totc = (double)1 / GlobalCloud.Count;
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Point to measure From
var p = pts[i];
//Range
var r = Double.MaxValue;
//Get one Nearest Neighbor (Part of KDTree.dll)
var ns = tree.NearestNeighbors(new double[] { p.X, p.Y, p.Z }, insV_Amount, r);
//The index of the Nearest Point in the PointCloud to Measure To.
var indList = ns.ToList();
double D = 0.0;
foreach (int idx in indList)
{
//Distance between Point measured From to Point meassured To.
//Point meassured From.
Point3d P2 = cloudTo[idx].Location;
//Distance betwen Points
//double D = fastDist(p, P2);
//Cumulative Distance
D = D + p.DistanceTo(P2);
}
//Average distances
double aveD = D / indList.Count;
//Add Distances to Array.
Distances[i] = aveD;
}
//Enable Parrallel Computing Cancellation
po.CancellationToken.ThrowIfCancellationRequested();
}
);
//Dispose of Global Clouds.
GlobalCloud.Dispose();
pointCloud.Dispose();
//Set OutputCloud
NewCloud.UserDictionary.Set(insV_Key, Distances);
//Colorize
if (insV_Colorize)
{
List <double> colorValues = Color_Utils.ColorValues_Std_pos(NewCloud, insV_Key);
List <Color> Colors = Color_Utils.ColorGradient_Std_GtoR();
Instruction.Instr_Dict_Color col = new Instruction.Instr_Dict_Color(insV_Key, colorValues, Colors, -1, 0.00);
Boolean ColResult = col.Execute(ref NewCloud);
//Set ColorGradient UserData
Color_Utils.Set_ColorGradient_Dict(ref NewCloud, Colors, colorValues);
}
pointCloud = (PointCloud)NewCloud.Duplicate();
//Dispose of PointCloud Pieces and NewCloud.
GlobalCloud.Dispose();
NewCloud.Dispose();
//Return True on Finish
return(true);
}
