public MeasurementModel LoadJson()
{
double[][] matrixX;
double[][] matrixW, matrixY;
MatrixCal matrixCal = new MatrixCal();
DistanceAlgo distanceAlgo = new DistanceAlgo();
MeasurementModel realmeasurements = new MeasurementModel();
using (StreamReader r = new StreamReader(@"c:\Users\Ruwindhu\Desktop\openpose-1.3.0-win64-gpu-binaries\output\test sub 5_keypoints.json"))
{
string json = r.ReadToEnd();
List <BodyPoints> items = JsonConvert.DeserializeObject <List <BodyPoints> >(json);
BodyDistances bodyDistances = new BodyDistances();
RatioAlgo ratioAlgo = new RatioAlgo();
for (var i = 0; i < items.Count; i++)
{
// Pythagoras used to caluate distance between 2 coordinates
bodyDistances.d1 = distanceAlgo.distanceBetweenPoints(items[i].x6, items[i].y6, items[i].x3, items[i].y3);
bodyDistances.d2 = distanceAlgo.distanceBetweenPoints(items[i].x4, items[i].y4, items[i].x3, items[i].y3);
bodyDistances.d3 = distanceAlgo.distanceBetweenPoints(items[i].x4, items[i].y4, items[i].x5, items[i].y5);
bodyDistances.d4 = distanceAlgo.distanceBetweenPoints(items[i].x9, items[i].y9, items[i].x3, items[i].y3);
bodyDistances.d5 = distanceAlgo.distanceBetweenPoints(items[i].x9, items[i].y9, items[i].x12, items[i].y12);
bodyDistances.d6 = distanceAlgo.distanceBetweenPoints(items[i].x9, items[i].y9, items[i].x10, items[i].y10);
bodyDistances.d7 = distanceAlgo.distanceBetweenPoints(items[i].x10, items[i].y10, items[i].x11, items[i].y11);
matrixX = matrixCal.MatrixCreate(7, 1);
matrixX[1][1] = bodyDistances.d1;
matrixX[2][1] = bodyDistances.d2;
matrixX[3][1] = bodyDistances.d3;
matrixX[4][1] = bodyDistances.d4;
matrixX[5][1] = bodyDistances.d5;
matrixX[6][1] = bodyDistances.d6;
matrixX[7][1] = bodyDistances.d7;
matrixW = matrixCal.MatrixCreate(7, 7);
matrixW = ratioAlgo.matrixwcal();
matrixY = matrixCal.MatrixCreate(7, 1);
matrixY = matrixCal.MatrixProduct(matrixW, matrixX);
realmeasurements.shoulderlength = matrixY[1][1];
realmeasurements.upperArmLegth = matrixY[2][1];
realmeasurements.lowerArmLegth = matrixY[3][1];
realmeasurements.shouldertoHip = matrixY[4][1];
realmeasurements.hipCrossLength = matrixY[5][1];
realmeasurements.kneelegth = matrixY[6][1];
realmeasurements.kneetoToeLength = matrixY[7][1];
}
return(realmeasurements);
}
}
public double[][] matrixwcal()
{
double[][] matrixw, matrixx, matrixy, matrixxtrapose, matrixpart1val, matrixpart2val, matrixpart3val, matrixI;
matrixx = matrixCal.MatrixCreate(7, 1);
matrixy = matrixCal.MatrixCreate(7, 1);
matrixxtrapose = matrixCal.MatrixCreate(1, 7);
matrixw = matrixCal.MatrixCreate(7, 7);
matrixpart1val = matrixCal.MatrixCreate(7, 7);
matrixpart2val = matrixCal.MatrixCreate(7, 7);
matrixpart3val = matrixCal.MatrixCreate(7, 7);
matrixI = matrixCal.MatrixCreate(7, 7);
matrixx[1][1] = 72.597;
matrixx[2][1] = 61.504;
matrixx[3][1] = 56.222;
matrixx[4][1] = 115.277;
matrixx[5][1] = 45.382;
matrixx[6][1] = 89.17;
matrixx[7][1] = 72.683;
matrixy[1][1] = 44;
matrixy[2][1] = 33;
matrixy[3][1] = 27;
matrixy[4][1] = 63;
matrixy[5][1] = 23;
matrixy[6][1] = 51;
matrixy[7][1] = 45;
matrixxtrapose[1][1] = matrixx[1][1];
matrixxtrapose[1][2] = matrixx[2][1];
matrixxtrapose[1][3] = matrixx[3][1];
matrixxtrapose[1][4] = matrixx[4][1];
matrixxtrapose[1][5] = matrixx[5][1];
matrixxtrapose[1][6] = matrixx[6][1];
matrixxtrapose[1][7] = matrixx[7][1];
matrixI = matrixCal.MatrixIdentity(7);
matrixpart1val = matrixCal.MatrixProduct(matrixy, matrixxtrapose);
matrixpart2val = matrixCal.MatrixProduct(matrixx, matrixxtrapose);
for (int i = 0; i < 7; i++)
{
for (int j = 0; j < 7; j++)
{
matrixpart2val[i][j] = matrixpart2val[i][j] + (lamba * matrixI[i][j]);
}
}
matrixpart3val = matrixCal.MatrixInverse(matrixpart2val);
matrixw = matrixCal.MatrixProduct(matrixpart1val, matrixpart3val);
return(matrixw);
}