private static SampleStructure GetProfileBinForSample(double binL, double binA, double binB, ProfileStrucuture[, ,] profile_GPU1)
{
SampleStructure outOfBounds = new SampleStructure();
outOfBounds.isempty = 0;
if (binL < 0 || binL >= 21)
{
return(outOfBounds);
}
if (binA < 0 || binA >= 41)
{
return(outOfBounds);
}
if (binB < 0 || binB >= 45)
{
return(outOfBounds);
}
outOfBounds.MX = profile_GPU1[(int)binL, (int)binA, (int)binB].MX;
outOfBounds.MY = profile_GPU1[(int)binL, (int)binA, (int)binB].MY;
outOfBounds.MZ = profile_GPU1[(int)binL, (int)binA, (int)binB].MZ;
outOfBounds.L = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].L;
outOfBounds.A = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].A;
outOfBounds.B = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].B;
outOfBounds.isempty = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].isempty;
return(outOfBounds);
}
public void TestWithoutChanges_CustomValueType_UseDefault()
{
var customValue = new SampleStructure()
{
IntValue = 10
};
var value = new TrackValue <SampleStructure>(customValue);
value = value.With(v => v);
Assert.True(value.HasChanges, "value.HasChanges");
Assert.AreEqual(customValue.IntValue, value.Value.IntValue);
}
public void TestApplyChanges_CustomValueType_UseEquitable()
{
var customValue = new SampleStructure {
IntValue = 10
};
var value = new TrackValue <SampleStructure>(customValue, ValueTrackerTypes.Equality);
value = value.With(v => new SampleStructure {
IntValue = v.IntValue * 2
});
Assert.True(value.HasChanges, "value.HasChanges");
Assert.AreEqual(20, value.Value.IntValue);
}
private static SampleStructure GetProfileBinForSample(double binL, double binA, double binB, ProfileStrucuture[, ,] profile_GPU1)
{
SampleStructure outOfBounds = new SampleStructure();
outOfBounds.isempty = 0;
if (binL < 0 || binL >= 21)
return outOfBounds;
if (binA < 0 || binA >= 41)
return outOfBounds;
if (binB < 0 || binB >= 45)
return outOfBounds;
outOfBounds.MX = profile_GPU1[(int)binL, (int)binA, (int)binB].MX;
outOfBounds.MY = profile_GPU1[(int)binL, (int)binA, (int)binB].MY;
outOfBounds.MZ = profile_GPU1[(int)binL, (int)binA, (int)binB].MZ;
outOfBounds.L = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].L;
outOfBounds.A = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].A;
outOfBounds.B = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].B;
outOfBounds.isempty = (int)profile_GPU1[(int)binL, (int)binA, (int)binB].isempty;
return outOfBounds;
}
public static TestOutput CorrectColour(ForeGroundStrucuture[] foregorungRGB_CPU, BackGroundStrucuture[] BackgroundXYZ_CPU)
{
//rgb = System.Drawing.Color.FromArgb(69, 77, 217);
//X = 0.0630982813175294;
//Y = 0.616476271122916;
//Z = 0.667048468232457;
const int image_size = 960 * 540;
//cuda intializer
CudafyModule km = CudafyModule.TryDeserialize();
if (km == null || !km.TryVerifyChecksums())
{
// km = CudafyTranslator.Cudafy((typeof(ForeGroundStrucuture)), (typeof(BackGroundStrucuture)), typeof(Color));
km = CudafyTranslator.Cudafy((typeof(ProfileStrucuture)), (typeof(ForeGroundStrucuture)), (typeof(BackGroundStrucuture)), (typeof(SampleStructure)), typeof(snake));
km.TrySerialize();
}
CudafyTranslator.GenerateDebug = true;
// cuda or emulator
GPGPU gpu = CudafyHost.GetDevice(CudafyModes.Target, CudafyModes.DeviceId);
//GPGPU gpu = CudafyHost.GetDevice(eGPUType.Emulator);
Console.WriteLine("Running quick correction using {0}", gpu.GetDeviceProperties(false).Name);
gpu.LoadModule(km);
ForeGroundStrucuture[] distance_CPU = new ForeGroundStrucuture[image_size];
// allocate memory on the GPU for the bitmap (same size as ptr)
#region
DataTable profile = new DataTable();
try
{
// add the csv bin file
using (GenericParserAdapter parser = new GenericParserAdapter(@"C:\lev\STColorCorrection\Data\PROFILE\p3700.csv"))
{
System.Data.DataSet dsResult = parser.GetDataSet();
profile = dsResult.Tables[0];
}
}
catch (Exception ex)
{ Console.WriteLine(ex); }
#endregion
// allocate temp memory, initialize it, copy to constant memory on the GPU
// L 0-21 A 0-41 B 0-45
ProfileStrucuture[, ,] profiles_CPU = new ProfileStrucuture[21, 41, 45];
SampleStructure[,] samples_CPU = new SampleStructure[image_size, 6];
//profile inicialization
#region
for (int indexL = 0; indexL < 21; indexL++)
{
for (int indexA = 0; indexA < 41; indexA++)
{
for (int indexB = 0; indexB < 45; indexB++)
{
profiles_CPU[indexL, indexA, indexB].L = indexL;
profiles_CPU[indexL, indexA, indexB].A = indexA;
profiles_CPU[indexL, indexA, indexB].B = indexB;
profiles_CPU[indexL, indexA, indexB].Given_R = 0;
profiles_CPU[indexL, indexA, indexB].Given_G = 0;
profiles_CPU[indexL, indexA, indexB].Given_B = 0;
profiles_CPU[indexL, indexA, indexB].ML = 0;
profiles_CPU[indexL, indexA, indexB].MA = 0;
profiles_CPU[indexL, indexA, indexB].MB = 0;
profiles_CPU[indexL, indexA, indexB].MX = 0;
profiles_CPU[indexL, indexA, indexB].MY = 0;
profiles_CPU[indexL, indexA, indexB].MZ = 0;
profiles_CPU[indexL, indexA, indexB].distance = -1.0;
profiles_CPU[indexL, indexA, indexB].weight = -1.0;
profiles_CPU[indexL, indexA, indexB].isempty = TRUE;
profiles_CPU[indexL, indexA, indexB].isMoreAccurateThanOrigin = FALSE;
}
}
}
int lvalue, avalue, bvalue;
try
{
for (int i = 1; i < profile.Rows.Count; i++)
{
lvalue = Convert.ToInt32(profile.Rows[i][0].ToString());
avalue = Convert.ToInt32(profile.Rows[i][1].ToString());
bvalue = Convert.ToInt32(profile.Rows[i][2].ToString());
lvalue = (int)(lvalue * 0.2);
avalue = (int)(avalue * 0.2) + 20;
bvalue = (int)(bvalue * 0.2) + 22;
profiles_CPU[lvalue, avalue, bvalue].L = lvalue;
profiles_CPU[lvalue, avalue, bvalue].A = avalue;
profiles_CPU[lvalue, avalue, bvalue].B = bvalue;
profiles_CPU[lvalue, avalue, bvalue].Given_R = (byte)Convert.ToByte(profile.Rows[i][9].ToString());
profiles_CPU[lvalue, avalue, bvalue].Given_G = (byte)Convert.ToByte(profile.Rows[i][10].ToString());
profiles_CPU[lvalue, avalue, bvalue].Given_B = (byte)Convert.ToByte(profile.Rows[i][11].ToString());
profiles_CPU[lvalue, avalue, bvalue].ML = (double)Convert.ToDouble(profile.Rows[i][3].ToString());
profiles_CPU[lvalue, avalue, bvalue].MA = (double)Convert.ToDouble(profile.Rows[i][4].ToString());
profiles_CPU[lvalue, avalue, bvalue].MB = (double)Convert.ToDouble(profile.Rows[i][5].ToString());
profiles_CPU[lvalue, avalue, bvalue].MX = (double)Convert.ToDouble(profile.Rows[i][6].ToString());
profiles_CPU[lvalue, avalue, bvalue].MY = (double)Convert.ToDouble(profile.Rows[i][7].ToString());
profiles_CPU[lvalue, avalue, bvalue].MZ = (double)Convert.ToDouble(profile.Rows[i][8].ToString());
profiles_CPU[lvalue, avalue, bvalue].isempty = FALSE;
}
}
catch (Exception ex)
{ Console.WriteLine(ex); }
#endregion
//grab the colors
ProfileStrucuture[, ,] profile_GPU = gpu.CopyToDevice(profiles_CPU);
SampleStructure[,] samples_GPU = gpu.CopyToDevice(samples_CPU);
//begin execution
// capture the start time
gpu.StartTimer();
ForeGroundStrucuture[] foregorungRGB_GPU = gpu.CopyToDevice(foregorungRGB_CPU);
BackGroundStrucuture[] BackgroundXYZ_GPU = gpu.CopyToDevice(BackgroundXYZ_CPU);
//out put
ForeGroundStrucuture[] distance_GPU = gpu.Allocate(distance_CPU);
// generate a bitmap from our sphere data
//Image size: 1024 x 768
dim3 grids = new dim3(24, 675);
dim3 threads = new dim3(8, 4);
//dim3 grids = new dim3(1, 1);
//dim3 threads = new dim3(1, 1);
//quick_correct
//gpu.Launch(grids, threads, ((Action<GThread, ProfileStrucuture[, ,], ForeGroundStrucuture[], BackGroundStrucuture[], ProfileStrucuture[], SampleStructure[,]>)QuickCorr), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU, samples_GPU);
//quick correct - testing
gpu.Launch(grids, threads, ((Action<GThread, ProfileStrucuture[, ,], ForeGroundStrucuture[], BackGroundStrucuture[], ForeGroundStrucuture[], SampleStructure[,]>)Snake), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU, samples_GPU);
// copy our bitmap back from the GPU for display
gpu.CopyFromDevice(distance_GPU, distance_CPU);
// get stop time, and display the timing results
double elapsedTime = gpu.StopTimer();
TestOutput to_return = new TestOutput();
to_return.output_image = distance_CPU;
to_return.timeTaken = elapsedTime;
Console.WriteLine("Time to generate: {0} ms", elapsedTime);
gpu.Free(foregorungRGB_GPU);
gpu.Free(BackgroundXYZ_GPU);
gpu.Free(distance_GPU);
gpu.FreeAll();
return to_return;
}
public static void Snake(GThread thread, ProfileStrucuture[, ,] profile_GPU, ForeGroundStrucuture[] foregorungRGB_GPU, BackGroundStrucuture[] BackgroundXYZ_GPU, ForeGroundStrucuture[] ptr, SampleStructure[,] samples)
{
// map from threadIdx/BlockIdx to pixel position
int x = thread.threadIdx.x + thread.blockIdx.x * thread.blockDim.x;
int y = thread.threadIdx.y + thread.blockIdx.y * thread.blockDim.y;
int offset = x + y * thread.blockDim.x * thread.gridDim.x;
double ox = (x - 1.0 / 2.0);
double oy = (y - 1.0 / 2.0);
// double closestColor = double.MaxValue;
double diffL = 0.0;
double diffA = 0.0;
double diffB = 0.0;
//int BestL = 0;
//int BestA = 0;
//int BestB = 0;
//1 - Converts the foreground to how the display shows it
ProfileStrucuture foregroundColorToShow = new ProfileStrucuture();
ProfileStrucuture foregroundLAB = ToLAB(foregorungRGB_GPU[offset]);
int binL = ((int)Math.Round(foregroundLAB.L / 5.0)) * 5;
int binA = ((int)Math.Round(foregroundLAB.A / 5.0)) * 5;
int binB = ((int)Math.Round(foregroundLAB.B / 5.0)) * 5;
if (binL > 100)
binL = 100;
if (binA < -86.17385493791946)
binA = -85;
if (binA > 98.2448002875424)
binA = 100;
if (binB < -107.8619171648283)
binB = -110;
if (binB > 94.47705120353054)
binB = 95;
binL = (int)(binL * 0.2) + 0;
binA = (int)(binA * 0.2) + 20;
binB = (int)(binB * 0.2) + 22;
foregroundColorToShow.ML = profile_GPU[binL, binA, binB].ML;
foregroundColorToShow.MA = profile_GPU[binL, binA, binB].MA;
foregroundColorToShow.MB = profile_GPU[binL, binA, binB].MB;
//1.1 - Extra step for Quick Correction
Point3D origin = new Point3D(10.0, 20.0, 22.0);
Point3D step = new Point3D(10, 20, 22);
//2 - Get the accuracy
ProfileStrucuture actualBin = GetProfileBin(origin.X, origin.Y, origin.Z, profile_GPU);
if (actualBin.isempty == TRUE)
return;
BackGroundStrucuture PredictionXYZ = addXYZ_st(actualBin.MX, actualBin.MY, actualBin.MZ, BackgroundXYZ_GPU[offset]);
ProfileStrucuture PredictionLAB = XYZtoLAB_st(PredictionXYZ);
//diffL = foregroundColorToShow.ML - PredictionLAB.L;
//diffA = foregroundColorToShow.MA - PredictionLAB.A;
//diffB = foregroundColorToShow.MB - PredictionLAB.B;
diffL = PredictionLAB.L - foregroundColorToShow.ML;
diffA = PredictionLAB.A - foregroundColorToShow.MA;
diffB = PredictionLAB.B - foregroundColorToShow.MB;
//diffL = PredictionXYZ.X - foregroundColorToShow.MX;
//diffA = PredictionXYZ.Y - foregroundColorToShow.MY;
//diffB = PredictionXYZ.Z - foregroundColorToShow.MZ;
diffL = diffL * diffL;
diffA = diffA * diffA;
diffB = diffB * diffB;
//originBin.distanceLAB
actualBin.distance = Math.Sqrt(diffL + diffA + diffB);
//declaring 6 separate samples - CUDA does not support array declaration in kernel device code
Point3D top = new Point3D();
Point3D bottom = new Point3D();
Point3D left = new Point3D();
Point3D right = new Point3D();
Point3D forward = new Point3D();
Point3D backward = new Point3D();
int countSamplesClosestThanOrigin = 0;
do
{
//sample 6 bins
top.X = origin.X + 1;
top.Y = origin.Y;
top.Z = origin.Z;
bottom.X = origin.X - 1;
bottom.Y = origin.Y;
bottom.Z = origin.Z;
left.X = origin.X;
left.Y = origin.Y - 1;
left.Z = origin.Z;
right.X = origin.X;
right.Y = origin.Y + 1;
right.Z = origin.Z;
forward.X = origin.X;
forward.Y = origin.Y;
forward.Z = origin.Z - 1;
backward.X = origin.X;
backward.Y = origin.Y;
backward.Z = origin.Z + 1;
samples[offset, 0] = GetProfileBinForSample(top.X, top.Y, top.Z, profile_GPU);
samples[offset, 1] = GetProfileBinForSample(bottom.X, bottom.Y, bottom.Z, profile_GPU);
samples[offset, 2] = GetProfileBinForSample(left.X, left.Y, left.Z, profile_GPU);
samples[offset, 3] = GetProfileBinForSample(right.X, right.Y, right.Z, profile_GPU);
samples[offset, 4] = GetProfileBinForSample(forward.X, forward.Y, forward.Z, profile_GPU);
samples[offset, 5] = GetProfileBinForSample(backward.X, backward.Y, backward.Z, profile_GPU);
countSamplesClosestThanOrigin = 0;
//calculate color correction for all samples
#region
for (int index = 0; index < 6; index++)
{
if (samples[offset, index].isempty == TRUE || samples[offset, index].isempty == 0.0)
continue;
BackGroundStrucuture temp_XYZ = addXYZ_st(samples[offset, index].MX, samples[offset, index].MY, samples[offset, index].MZ, BackgroundXYZ_GPU[offset]);
ProfileStrucuture PredictionlAB = XYZtoLAB_st(temp_XYZ);
diffL = PredictionlAB.L - foregroundColorToShow.ML;
diffA = PredictionlAB.A - foregroundColorToShow.MA;
diffB = PredictionlAB.B - foregroundColorToShow.MB;
diffL = diffL * diffL;
diffA = diffA * diffA;
diffB = diffB * diffB;
//curr_distanceLAB
samples[offset, index].distance = Math.Sqrt(diffL + diffA + diffB);
if (samples[offset, index].distance >= actualBin.distance)
{
continue;
}
else
{
samples[offset, index].isMoreAccurateThanOrigin = (int)TRUE;
countSamplesClosestThanOrigin++;
}
}
#endregion
if (countSamplesClosestThanOrigin > 0)
{
//6.1 calculates weights
double totalimprovements = 0;
for (int index = 0; index < 6; index++)
{
if (!(samples[offset, index].isMoreAccurateThanOrigin == TRUE))
{
continue;
}
totalimprovements += (actualBin.distance - samples[offset, index].distance);
}
for (int index = 0; index < 6; index++)
{
if (!(samples[offset, index].isMoreAccurateThanOrigin == 1))
{
continue;
}
samples[offset, index].weight = ((actualBin.distance - samples[offset, index].distance) / totalimprovements);
}
//6.2 calculates displacement
Point3D displacement = new Point3D(0, 0, 0);
for (int index = 0; index < 6; index++)
{
if (!(samples[offset, index].isMoreAccurateThanOrigin == 1))
{
continue;
}
displacement.X = displacement.X + (samples[offset, index].L - origin.X) * samples[offset, index].weight;
displacement.Y = displacement.Y + (samples[offset, index].A - origin.Y) * samples[offset, index].weight;
displacement.Z = displacement.Z + (samples[offset, index].B - origin.Z) * samples[offset, index].weight;
}
if (displacement.X > 0)
displacement.X = Math.Ceiling(displacement.X);
else
displacement.X = Math.Floor(displacement.X);
if (displacement.Y > 0)
displacement.Y = Math.Ceiling(displacement.Y);
else
displacement.Y = Math.Floor(displacement.Y);
if (displacement.Z > 0)
displacement.Z = Math.Ceiling(displacement.Z);
else
displacement.Z = Math.Floor(displacement.Z);
//6.3 pokes new origin
Point3D newOriginLoc = new Point3D();
newOriginLoc.X = origin.X + displacement.X;
newOriginLoc.Y = origin.Y + displacement.Y;
newOriginLoc.Z = origin.Z + displacement.Z;
ProfileStrucuture newOriginBin = GetProfileBin(newOriginLoc.X, newOriginLoc.Y, newOriginLoc.Z, profile_GPU);
while (newOriginBin.isempty == TRUE)
{
/////////////////////// round to even missing ///////////////////
//6.4 moves half the magnitude in the given direction
displacement.X = Math.Round(displacement.X / 2);
displacement.Y = Math.Round(displacement.Y / 2);
displacement.Z = Math.Round(displacement.Z / 2);
newOriginLoc.X = origin.X + displacement.X;
newOriginLoc.Y = origin.Y + displacement.Y;
newOriginLoc.Z = origin.Z + displacement.Z;
newOriginBin = GetProfileBin(newOriginLoc.X, newOriginLoc.Y, newOriginLoc.Z, profile_GPU);
}
//calclates the accuracy of the posible new origin
if (newOriginBin.isempty == TRUE)
return;
PredictionXYZ = addXYZ_st(newOriginBin.MX, newOriginBin.MY, newOriginBin.MZ, BackgroundXYZ_GPU[offset]);
ProfileStrucuture PredictionlAB = XYZtoLAB_st(PredictionXYZ);
diffL = PredictionlAB.L - foregroundColorToShow.ML;
diffA = PredictionlAB.A - foregroundColorToShow.MA;
diffB = PredictionlAB.B - foregroundColorToShow.MB;
//diffL = PredictionXYZ.X - foregroundColorToShow.MX;
//diffA = PredictionXYZ.Y - foregroundColorToShow.MY;
//diffB = PredictionXYZ.Z - foregroundColorToShow.MZ;
diffL = diffL * diffL;
diffA = diffA * diffA;
diffB = diffB * diffB;
//originBin.distanceLAB
newOriginBin.distance = Math.Sqrt(diffL + diffA + diffB);
if ((origin.X == newOriginLoc.X && origin.Y == newOriginLoc.Y && origin.Z == newOriginLoc.Z) || actualBin.distance <= newOriginBin.distance) // it's the same location then just reduces the step
countSamplesClosestThanOrigin = 0;
else
{
origin = newOriginLoc;
actualBin = newOriginBin;
}
}
} while (countSamplesClosestThanOrigin > 0);
ForeGroundStrucuture ValueToReturn = new ForeGroundStrucuture();
ValueToReturn.R = actualBin.Given_R;
ValueToReturn.G = actualBin.Given_G;
ValueToReturn.B = actualBin.Given_B;
ptr[offset] = ValueToReturn;
}
public static TestOutput CorrectColour(ForeGroundStrucuture[] foregorungRGB_CPU, BackGroundStrucuture[] BackgroundXYZ_CPU)
{
//rgb = System.Drawing.Color.FromArgb(69, 77, 217);
//X = 0.0630982813175294;
//Y = 0.616476271122916;
//Z = 0.667048468232457;
const int image_size = 1024 * 768;
//cuda intializer
CudafyModule km = CudafyModule.TryDeserialize();
if (km == null || !km.TryVerifyChecksums())
{
// km = CudafyTranslator.Cudafy((typeof(ForeGroundStrucuture)), (typeof(BackGroundStrucuture)), typeof(Color));
km = CudafyTranslator.Cudafy((typeof(ProfileStrucuture)), (typeof(ForeGroundStrucuture)), (typeof(BackGroundStrucuture)), (typeof(SampleStructure)), typeof(quick_corr));
km.TrySerialize();
}
CudafyTranslator.GenerateDebug = true;
// cuda or emulator
GPGPU gpu = CudafyHost.GetDevice(CudafyModes.Target, CudafyModes.DeviceId);
//GPGPU gpu = CudafyHost.GetDevice(eGPUType.Emulator);
Console.WriteLine("Running quick correction using {0}", gpu.GetDeviceProperties(false).Name);
gpu.LoadModule(km);
ForeGroundStrucuture[] distance_CPU = new ForeGroundStrucuture[image_size];
// allocate memory on the GPU for the bitmap (same size as ptr)
#region
DataTable profile = new DataTable();
try
{
// add the csv bin file
using (GenericParserAdapter parser = new GenericParserAdapter(@"C:\lev\STColorCorrection\Data\PROFILE\p3700.csv"))
{
System.Data.DataSet dsResult = parser.GetDataSet();
profile = dsResult.Tables[0];
}
}
catch (Exception ex)
{ Console.WriteLine(ex); }
#endregion
// allocate temp memory, initialize it, copy to constant memory on the GPU
// L 0-21 A 0-41 B 0-45
ProfileStrucuture[, ,] profiles_CPU = new ProfileStrucuture[21, 41, 45];
SampleStructure[,] samples_CPU = new SampleStructure[image_size, 6];
FGLookupStructure[, ,] fg_loopup_CPU = new FGLookupStructure[256, 256, 256];
//profile inicialization
#region
for (int indexL = 0; indexL < 21; indexL++)
{
for (int indexA = 0; indexA < 41; indexA++)
{
for (int indexB = 0; indexB < 45; indexB++)
{
profiles_CPU[indexL, indexA, indexB].L = indexL;
profiles_CPU[indexL, indexA, indexB].A = indexA;
profiles_CPU[indexL, indexA, indexB].B = indexB;
//profiles_CPU[indexL, indexA, indexB].Given_R = 0;
//profiles_CPU[indexL, indexA, indexB].Given_G = 0;
//profiles_CPU[indexL, indexA, indexB].Given_B = 0;
profiles_CPU[indexL, indexA, indexB].ML = 0;
profiles_CPU[indexL, indexA, indexB].MA = 0;
profiles_CPU[indexL, indexA, indexB].MB = 0;
profiles_CPU[indexL, indexA, indexB].MX = 0;
profiles_CPU[indexL, indexA, indexB].MY = 0;
profiles_CPU[indexL, indexA, indexB].MZ = 0;
profiles_CPU[indexL, indexA, indexB].distance = -1.0;
profiles_CPU[indexL, indexA, indexB].weight = -1.0;
profiles_CPU[indexL, indexA, indexB].isempty = TRUE;
profiles_CPU[indexL, indexA, indexB].isMoreAccurateThanOrigin = FALSE;
}
}
}
int lvalue, avalue, bvalue;
try
{
for (int i = 1; i < profile.Rows.Count; i++)
{
lvalue = Convert.ToInt32(profile.Rows[i][0].ToString());
avalue = Convert.ToInt32(profile.Rows[i][1].ToString());
bvalue = Convert.ToInt32(profile.Rows[i][2].ToString());
lvalue = (int)(lvalue * 0.2);
avalue = (int)(avalue * 0.2) + 20;
bvalue = (int)(bvalue * 0.2) + 22;
profiles_CPU[lvalue, avalue, bvalue].L = lvalue;
profiles_CPU[lvalue, avalue, bvalue].A = avalue;
profiles_CPU[lvalue, avalue, bvalue].B = bvalue;
//profiles_CPU[lvalue, avalue, bvalue].Given_R = (byte)Convert.ToByte(profile.Rows[i][9].ToString());
//profiles_CPU[lvalue, avalue, bvalue].Given_G = (byte)Convert.ToByte(profile.Rows[i][10].ToString());
//profiles_CPU[lvalue, avalue, bvalue].Given_B = (byte)Convert.ToByte(profile.Rows[i][11].ToString());
profiles_CPU[lvalue, avalue, bvalue].ML = (double)Convert.ToDouble(profile.Rows[i][3].ToString());
profiles_CPU[lvalue, avalue, bvalue].MA = (double)Convert.ToDouble(profile.Rows[i][4].ToString());
profiles_CPU[lvalue, avalue, bvalue].MB = (double)Convert.ToDouble(profile.Rows[i][5].ToString());
profiles_CPU[lvalue, avalue, bvalue].MX = (double)Convert.ToDouble(profile.Rows[i][6].ToString());
profiles_CPU[lvalue, avalue, bvalue].MY = (double)Convert.ToDouble(profile.Rows[i][7].ToString());
profiles_CPU[lvalue, avalue, bvalue].MZ = (double)Convert.ToDouble(profile.Rows[i][8].ToString());
profiles_CPU[lvalue, avalue, bvalue].isempty = FALSE;
}
}
catch (Exception ex)
{ Console.WriteLine(ex); }
#endregion
//fg lookup inicialization
#region
for (int r = 0; r < 255; r++)
{
for (int g = 0; g < 255; g++)
{
for (int b = 0; b < 255; b++)
{
Point3D foregroundLAB = ToLAB(new ForeGroundStrucuture((byte)r, (byte)g, (byte)b));
int binL = ((int)Math.Round(foregroundLAB.X / 5.0)) * 5;
int binA = ((int)Math.Round(foregroundLAB.Y / 5.0)) * 5;
int binB = ((int)Math.Round(foregroundLAB.Z / 5.0)) * 5;
if (binL > 100)
{
binL = 100;
}
if (binA < -86.17385493791946)
{
binA = -85;
}
if (binA > 98.2448002875424)
{
binA = 100;
}
if (binB < -107.8619171648283)
{
binB = -110;
}
if (binB > 94.47705120353054)
{
binB = 95;
}
fg_loopup_CPU[r, g, b].L = (int)(binL * 0.2) + 0;
fg_loopup_CPU[r, g, b].A = (int)(binA * 0.2) + 20;
fg_loopup_CPU[r, g, b].B = (int)(binB * 0.2) + 22;
}
}
}
#endregion
//grab the colors
ProfileStrucuture[, ,] profile_GPU = gpu.CopyToDevice(profiles_CPU);
SampleStructure[,] samples_GPU = gpu.CopyToDevice(samples_CPU);
FGLookupStructure[, ,] fg_loopup_GPU = gpu.CopyToDevice(fg_loopup_CPU);
//begin execution
// capture the start time
gpu.StartTimer();
ForeGroundStrucuture[] foregorungRGB_GPU = gpu.CopyToDevice(foregorungRGB_CPU);
BackGroundStrucuture[] BackgroundXYZ_GPU = gpu.CopyToDevice(BackgroundXYZ_CPU);
//out put
ForeGroundStrucuture[] distance_GPU = gpu.Allocate(distance_CPU);
// generate a bitmap from our sphere data
//Image size: 1024 x 768
dim3 grids = new dim3(1024 / 16, 768 / 16);
dim3 threads = new dim3(16, 16);
//dim3 grids = new dim3(1, 1);
//dim3 threads = new dim3(1, 1);
//quick_correct
//gpu.Launch(grids, threads, ((Action<GThread, ProfileStrucuture[, ,], ForeGroundStrucuture[], BackGroundStrucuture[], ProfileStrucuture[], SampleStructure[,]>)QuickCorr), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU, samples_GPU);
//quick correct - testing
//gpu.Launch(grids, threads, ((Action<GThread, ProfileStrucuture[, ,], ForeGroundStrucuture[], BackGroundStrucuture[], ForeGroundStrucuture[], SampleStructure[,]>)QuickCorr), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU, samples_GPU);
gpu.Launch(grids, threads, ((Action <GThread, ProfileStrucuture[, , ], ForeGroundStrucuture[], BackGroundStrucuture[], ForeGroundStrucuture[], SampleStructure[, ], FGLookupStructure[, , ]>)QuickCorr), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU, samples_GPU, fg_loopup_GPU);
// copy our bitmap back from the GPU for display
gpu.CopyFromDevice(distance_GPU, distance_CPU);
// get stop time, and display the timing results
double elapsedTime = gpu.StopTimer();
TestOutput to_return = new TestOutput();
to_return.output_image = distance_CPU;
to_return.timeTaken = elapsedTime;
Console.WriteLine("Time to generate: {0} ms", elapsedTime);
gpu.Free(foregorungRGB_GPU);
gpu.Free(BackgroundXYZ_GPU);
gpu.Free(distance_GPU);
gpu.FreeAll();
return(to_return);
}
public static TestingStructure[] CorrectColour(System.Drawing.Color rgb, double X, double Y, double Z)
{
//rgb = System.Drawing.Color.FromArgb(69, 77, 217);
//X = 0.0630982813175294;
//Y = 0.616476271122916;
//Z = 0.667048468232457;
//cuda intializer
CudafyModule km = CudafyModule.TryDeserialize();
if (km == null || !km.TryVerifyChecksums())
{
// km = CudafyTranslator.Cudafy((typeof(ForeGroundStrucuture)), (typeof(BackGroundStrucuture)), typeof(Color));
km = CudafyTranslator.Cudafy((typeof(ProfileStrucuture)), (typeof(ForeGroundStrucuture)), (typeof(BackGroundStrucuture)), (typeof(SampleStructure)), (typeof(TestingStructure)), typeof(quick_corr));
km.TrySerialize();
}
CudafyTranslator.GenerateDebug = true;
// cuda or emulator
GPGPU gpu = CudafyHost.GetDevice(CudafyModes.Target, CudafyModes.DeviceId);
//GPGPU gpu = CudafyHost.GetDevice(eGPUType.Emulator);
Console.WriteLine("Running decrease step correction using {0}", gpu.GetDeviceProperties(false).Name);
gpu.LoadModule(km);
TestingStructure[] distance_CPU = new TestingStructure[1];
// allocate memory on the GPU for the bitmap (same size as ptr)
#region
DataTable profile = new DataTable();
try
{
// add the csv bin file
using (GenericParserAdapter parser = new GenericParserAdapter(@"C:\lev\STColorCorrection\Data\PROFILE\p3700.csv"))
{
System.Data.DataSet dsResult = parser.GetDataSet();
profile = dsResult.Tables[0];
}
}
catch (Exception ex)
{ Console.WriteLine(ex); }
#endregion
// allocate temp memory, initialize it, copy to constant memory on the GPU
// L 0-21 A 0-41 B 0-45
ProfileStrucuture[, ,] profiles_CPU = new ProfileStrucuture[21, 41, 45];
ForeGroundStrucuture[] foregorungRGB_CPU = new ForeGroundStrucuture[1];
BackGroundStrucuture[] BackgroundXYZ_CPU = new BackGroundStrucuture[1];
SampleStructure[,] samples_CPU = new SampleStructure[1, 6];
//profile inicialization
#region
for (int indexL = 0; indexL < 21; indexL++)
{
for (int indexA = 0; indexA < 41; indexA++)
{
for (int indexB = 0; indexB < 45; indexB++)
{
profiles_CPU[indexL, indexA, indexB].L = indexL;
profiles_CPU[indexL, indexA, indexB].A = indexA;
profiles_CPU[indexL, indexA, indexB].B = indexB;
//profiles_CPU[indexL, indexA, indexB].Given_R = 0;
//profiles_CPU[indexL, indexA, indexB].Given_G = 0;
//profiles_CPU[indexL, indexA, indexB].Given_B = 0;
profiles_CPU[indexL, indexA, indexB].ML = 0;
profiles_CPU[indexL, indexA, indexB].MA = 0;
profiles_CPU[indexL, indexA, indexB].MB = 0;
profiles_CPU[indexL, indexA, indexB].MX = 0;
profiles_CPU[indexL, indexA, indexB].MY = 0;
profiles_CPU[indexL, indexA, indexB].MZ = 0;
profiles_CPU[indexL, indexA, indexB].distance = -1.0;
profiles_CPU[indexL, indexA, indexB].weight = -1.0;
profiles_CPU[indexL, indexA, indexB].isempty = TRUE;
profiles_CPU[indexL, indexA, indexB].isMoreAccurateThanOrigin = FALSE;
}
}
}
int lvalue, avalue, bvalue;
try
{
for (int i = 1; i < profile.Rows.Count; i++)
{
lvalue = Convert.ToInt32(profile.Rows[i][0].ToString());
avalue = Convert.ToInt32(profile.Rows[i][1].ToString());
bvalue = Convert.ToInt32(profile.Rows[i][2].ToString());
lvalue = (int)(lvalue * 0.2);
avalue = (int)(avalue * 0.2) + 20;
bvalue = (int)(bvalue * 0.2) + 22;
profiles_CPU[lvalue, avalue, bvalue].L = lvalue;
profiles_CPU[lvalue, avalue, bvalue].A = avalue;
profiles_CPU[lvalue, avalue, bvalue].B = bvalue;
//profiles_CPU[lvalue, avalue, bvalue].Given_R = (double)Convert.ToByte(profile.Rows[i][9].ToString());
//profiles_CPU[lvalue, avalue, bvalue].Given_G = (double)Convert.ToByte(profile.Rows[i][10].ToString());
//profiles_CPU[lvalue, avalue, bvalue].Given_B = (double)Convert.ToByte(profile.Rows[i][11].ToString());
profiles_CPU[lvalue, avalue, bvalue].ML = (double)Convert.ToDouble(profile.Rows[i][3].ToString());
profiles_CPU[lvalue, avalue, bvalue].MA = (double)Convert.ToDouble(profile.Rows[i][4].ToString());
profiles_CPU[lvalue, avalue, bvalue].MB = (double)Convert.ToDouble(profile.Rows[i][5].ToString());
profiles_CPU[lvalue, avalue, bvalue].MX = (double)Convert.ToDouble(profile.Rows[i][6].ToString());
profiles_CPU[lvalue, avalue, bvalue].MY = (double)Convert.ToDouble(profile.Rows[i][7].ToString());
profiles_CPU[lvalue, avalue, bvalue].MZ = (double)Convert.ToDouble(profile.Rows[i][8].ToString());
profiles_CPU[lvalue, avalue, bvalue].isempty = FALSE;
}
}
catch (Exception ex)
{ Console.WriteLine(ex); }
#endregion
//grab the colors
ProfileStrucuture[, ,] profile_GPU = gpu.CopyToDevice(profiles_CPU);
SampleStructure[,] samples_GPU = gpu.CopyToDevice(samples_CPU);
Point3D background = new Point3D(X, Y, Z);
//foreground and background image inicialization
#region
try
{
for (int i = 0; i < 1; i++)
{
foregorungRGB_CPU[i].R = rgb.R;
foregorungRGB_CPU[i].G = rgb.G;
foregorungRGB_CPU[i].B = rgb.B;
BackgroundXYZ_CPU[i].X = background.X;
BackgroundXYZ_CPU[i].Y = background.Y;
BackgroundXYZ_CPU[i].Z = background.Z;
}
}
catch (Exception ex)
{ Console.WriteLine(ex); }
#endregion
//begin execution
// capture the start time
gpu.StartTimer();
ForeGroundStrucuture[] foregorungRGB_GPU = gpu.CopyToDevice(foregorungRGB_CPU);
BackGroundStrucuture[] BackgroundXYZ_GPU = gpu.CopyToDevice(BackgroundXYZ_CPU);
//out put
TestingStructure[] distance_GPU = gpu.Allocate(distance_CPU);
// generate a bitmap from our sphere data
//Image size: 1024 x 768
//dim3 grids = new dim3(1024 / 16, 768 / 16);
//dim3 threads = new dim3(16, 16);
dim3 grids = new dim3(1, 1);
dim3 threads = new dim3(1, 1);
//quick_correct
//gpu.Launch(grids, threads, ((Action<GThread, ProfileStrucuture[, ,], ForeGroundStrucuture[], BackGroundStrucuture[], ProfileStrucuture[], SampleStructure[,]>)QuickCorr), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU, samples_GPU);
//quick correct - testing
gpu.Launch(grids, threads, ((Action <GThread, ProfileStrucuture[, , ], ForeGroundStrucuture[], BackGroundStrucuture[], TestingStructure[], SampleStructure[, ]>)QuickCorr), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU, samples_GPU);
// copy our bitmap back from the GPU for display
gpu.CopyFromDevice(distance_GPU, distance_CPU);
// get stop time, and display the timing results
double elapsedTime = gpu.StopTimer();
distance_CPU[0].execution_time = elapsedTime;
Console.WriteLine("Time to generate: {0} ms", elapsedTime);
gpu.Free(foregorungRGB_GPU);
gpu.Free(BackgroundXYZ_GPU);
gpu.Free(distance_GPU);
gpu.FreeAll();
return(distance_CPU);
}
