private static BackGroundStrucuture addXYZ_st(double X1, double Y1, double Z1, BackGroundStrucuture XYZbg)
{
BackGroundStrucuture XYZ;
XYZ.X = X1 + XYZbg.X;
XYZ.Y = Y1 + XYZbg.Y;
XYZ.Z = Z1 + XYZbg.Z;
//if (XYZ.X > 0.9504)
// XYZ.X = 0.9504f;
//else if (XYZ.X < 0)
// XYZ.X = 0;
//else
// XYZ.X = XYZ.X;
//if (XYZ.Y > 1)
// XYZ.Y = 1;
//else if (XYZ.Y < 0)
// XYZ.Y = 0;
//else
// XYZ.Y = XYZ.Y;
//if (XYZ.Z > 1.0888)
// XYZ.Z = 1.0888f;
//else if (XYZ.Z < 0)
// XYZ.Z = 0;
//else
// XYZ.Z = XYZ.Z;
return XYZ;
}
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 ProfileStrucuture XYZtoLAB_st(BackGroundStrucuture xyz)
{
double Fx, Fy, Fz;
double xr = (double)(xyz.X / 0.9504);
double yr = (double)(xyz.Y / 1.0000);
double zr = (double)(xyz.Z / 1.0888);
if (xr > 0.008856)
xr = Math.Pow(xr, (1.0 / 3.0));
else
xr = ((903.3 * xr) + 16) / 116;
if (yr > 0.008856)
yr = Math.Pow(yr, (1.0 / 3.0));
else
yr = ((903.3 * yr) + 16) / 116;
if (zr > 0.008856)
zr = Math.Pow(zr, (1.0 / 3.0));
else
zr = ((903.3 * zr) + 16) / 116;
Fx = xr;
Fy = yr;
Fz = zr;
ProfileStrucuture rColor = new ProfileStrucuture();
if (yr > 0.008856)
yr = (116 * Math.Pow(yr, (1.0 / 3.0))) - 16;
else
yr = (double)(903.3 * yr);
rColor.L = yr;
rColor.A = 500 * (Fx - Fy);
rColor.B = 200 * (Fy - Fz);
return rColor;
}
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 BackGroundStrucuture RGBToXYZ_St(ForeGroundStrucuture RGB)
{
// by the formula given the the web page http://www.brucelindbloom.com/index.html [XYZ]=[M][RGB]
//In order to properly use this matrix, the RGB values must be linear and in the nominal range [0.0, 1.0].
// RGB values may first need conversion (for example, dividing by 255 and then raising them to a power)
// Where M for D65: 0.4124564 0.3575761 0.1804375
//0.2126729 0.7151522 0.0721750
//0.0193339 0.1191920 0.9503041
//// to make rgb values linear red, green, blue values
BackGroundStrucuture XYZ = new BackGroundStrucuture();
double rLinear = (double)(RGB.R / 255.0);
double gLinear = (double)(RGB.G / 255.0);
double bLinear = (double)(RGB.B / 255.0);
// convert to a sRGB form
//double r = Math.pow((rLinear ), 2.2) ;
//double g = Math.pow((gLinear ), 2.2) ;
//double b = Math.pow((bLinear ), 2.2) ;
double r, g, b;
if (rLinear > 0.04045)
{
r = (double)((double)(rLinear + 0.055) / 1.055);
r = Math.Pow(r, (double)2.200000);
}
else
r = (double)(rLinear / 12.92);
if (gLinear > 0.04045)
{
g = (double)((double)(gLinear + 0.055) / 1.055);
g = Math.Pow((double)g, (double)2.2);
}
else
g = (double)(gLinear / 12.92);
if (bLinear > 0.04045)
{
b = (double)((double)(bLinear + 0.055) / 1.055);
b = Math.Pow((double)b, (double)2.2);
}
else
b = (double)(bLinear / 12.92);
XYZ.X = (double)(r * 0.4124564 + g * 0.3575761 + b * 0.1804375);
XYZ.Y = (double)(r * 0.2126729 + g * 0.7151522 + b * 0.0721750);
XYZ.Z = (double)(r * 0.0193339 + g * 0.1191920 + b * 0.9503041);
//if (XYZ.X > 0.9504)
// XYZ.X = 0.9504F;
//else if (XYZ.X < 0)
// XYZ.X = 0;
//else
// XYZ.X = XYZ.X;
//if (XYZ.Y > 1)
// XYZ.Y = 1;
//else if (XYZ.Y < 0)
// XYZ.Y = 0;
//else
// XYZ.Y = XYZ.Y;
//if (XYZ.Z > 1.0888)
// XYZ.Z = 1.0888F;
//else if (XYZ.Z < 0)
// XYZ.Z = 0;
//else
// XYZ.Z = XYZ.Z;
return XYZ;
}
private static BackGroundStrucuture addXYZ_st(double X1,double Y1,double Z1,BackGroundStrucuture XYZbg)
{
BackGroundStrucuture XYZ;
XYZ.X = X1 + XYZbg.X;
XYZ.Y = Y1 + XYZbg.Y;
XYZ.Z = Z1 + XYZbg.Z;
return XYZ;
}
public static void Bruteforce(GThread thread, ProfileStrucuture[, ,] profile_GPU, ForeGroundStrucuture[] foregorungRGB_GPU, BackGroundStrucuture[] BackgroundXYZ_GPU, ForeGroundStrucuture[] ptr)
{
// 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;
ProfileStrucuture returnBin = 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;
returnBin.ML = profile_GPU[binL, binA, binB].ML;
returnBin.MA = profile_GPU[binL, binA, binB].MA;
returnBin.MB = profile_GPU[binL, binA, binB].MB;
double closestBinDistance;
for (int indexL = 0; indexL < 21; indexL++)
{
for (int indexA = 0; indexA < 41; indexA++)
{
for (int indexB = 0; indexB < 45; indexB++)
{
ProfileStrucuture actualBin = profile_GPU[indexL, indexA, indexB];
if (actualBin.isempty == TRUE)
continue;
BackGroundStrucuture PredictionXYZ = addXYZ_st(actualBin.MX, actualBin.MY, actualBin.MZ, BackgroundXYZ_GPU[offset]);
ProfileStrucuture PredictionlAB = XYZtoLAB_st(PredictionXYZ);
diffL = PredictionlAB.L - returnBin.ML;
diffA = PredictionlAB.A - returnBin.MA;
diffB = PredictionlAB.B - returnBin.MB;
//diffL = PredictionXYZ.X - returnBin.MX;
//diffA = PredictionXYZ.Y - returnBin.MY;
//diffB = PredictionXYZ.Z - returnBin.MZ;
diffL = diffL * diffL;
diffA = diffA * diffA;
diffB = diffB * diffB;
closestBinDistance = Math.Sqrt(diffL + diffA + diffB);
if (closestBinDistance >= closestColor)
continue;
else
{
closestColor = closestBinDistance;
BestL = indexL;
BestA = indexA;
BestB = indexB;
}
}
}
}
ProfileStrucuture return_bin = profile_GPU[BestL, BestA, BestB];
ForeGroundStrucuture ValueToReturn = new ForeGroundStrucuture();
ValueToReturn.R = return_bin.Given_R;
ValueToReturn.G = return_bin.Given_G;
ValueToReturn.B = return_bin.Given_B;
ptr[offset] = ValueToReturn;
}
public static TestOutput CorrectColour(ForeGroundStrucuture[] foregorungRGB_CPU, BackGroundStrucuture[] BackgroundXYZ_CPU)
{
//set these to constant if you want testing
//rgb = System.Drawing.Color.FromArgb(65, 108, 20);
//X = 0.613829950099918;
//Y = 0.938638756488747;
//Z = 1.08019833591292;
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(bf));
km.TrySerialize();
}
CudafyTranslator.GenerateDebug = true;
// cuda or emulator
GPGPU gpu = CudafyHost.GetDevice(CudafyModes.Target, CudafyModes.DeviceId);
//sGPGPU gpu = CudafyHost.GetDevice(eGPUType.Emulator);
gpu.LoadModule(km);
Console.WriteLine("Running brute force correction using {0}", gpu.GetDeviceProperties(false).Name);
ForeGroundStrucuture[] output_image_CPU = new ForeGroundStrucuture[image_size];
// allocate memory on the GPU for the bitmap (same size as ptr)
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); }
// 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[image_size];
//BackGroundStrucuture[] BackgroundXYZ_CPU = new BackGroundStrucuture[image_size];
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].isempty = TRUE;
profiles_CPU[indexL, indexA, indexB].isMoreAccurateThanOrigin = -1;
}
}
}
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); }
//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 = X;
// BackgroundXYZ_CPU[i].Y = Y;
// BackgroundXYZ_CPU[i].Z = Z;
// }
//}
//catch (Exception ex)
//{ Console.WriteLine(ex); }
#endregion
ProfileStrucuture[, ,] profile_GPU = gpu.CopyToDevice(profiles_CPU);
// 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(output_image_CPU);
// generate a bitmap from our sphere data
//Image size: 1024 x 768
//dim3 grids = new dim3(1, 1);
//dim3 threads = new dim3(1,1);
dim3 grids = new dim3(24, 675);
dim3 threads = new dim3(8, 4);
gpu.Launch(grids, threads, ((Action<GThread, ProfileStrucuture[, ,], ForeGroundStrucuture[], BackGroundStrucuture[], ForeGroundStrucuture[]>)Bruteforce), profile_GPU, foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU);
//gpu.Launch(grids, threads, ((Action<GThread, ForeGroundStrucuture[], BackGroundStrucuture[], double[]>)Bruteforce), foregorungRGB_GPU, BackgroundXYZ_GPU, distance_GPU);
// copy our bitmap back from the GPU for display
gpu.CopyFromDevice(distance_GPU, output_image_CPU);
// get stop time, and display the timing results
double elapsedTime = gpu.StopTimer();
TestOutput to_return = new TestOutput();
to_return.output_image = output_image_CPU;
to_return.timeTaken = elapsedTime;
//encapsulte the output image into a class
//output_image_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 to_return;
}
