I am trying to speed up a piece of code that is ran a total of 150,000,000 times.
I have analysed it using "Very Sleepy", which has indicated that the code is spending the most time in these 3 areas, shown in the image:
The code is as follows:
double nonLocalAtPixel(int ymax, int xmax, int y, int x , vector<nodeStructure> &nodeMST, int squareDimension, Mat &inputImage) {
vector<double> nodeWeights(8,0);
vector<double> nodeIntensities(8,0);
bool allZeroWeights = true;
int numberEitherside = (squareDimension - 1) / 2;
int index = 0;
for (int j = y - numberEitherside; j < y + numberEitherside + 1; j++) {
for (int i = x - numberEitherside; i < x + numberEitherside + 1; i++) {
// out of range or the centre pixel
if (j<0 || i<0 || j>ymax || i>xmax || (j == y && i == x)) {
index++;
continue;
}
else {
int centreNodeIndex = y*(xmax+1) + x;
int thisNodeIndex = j*(xmax+1) + i;
// add to intensity list
Scalar pixelIntensityScalar = inputImage.at<uchar>(j, i);
nodeIntensities[index] = ((double)*pixelIntensityScalar.val);
// find weight from p to q
float weight = findWeight(nodeMST, thisNodeIndex, centreNodeIndex);
if (weight!=0 && allZeroWeights) {
allZeroWeights = false;
}
nodeWeights[index] = (weight);
index++;
}
}
}
// find min b
int minb = -1;
int bCost = -1;
if (allZeroWeights) {
return 0;
}
else {
// iteratate all b values
for (int i = 0; i < nodeWeights.size(); i++) {
if (nodeWeights[i]==0) {
continue;
}
double thisbCost = nonLocalWithb(nodeIntensities[i], nodeIntensities, nodeWeights);
if (bCost<0 || thisbCost<bCost) {
bCost = thisbCost;
minb = nodeIntensities[i];
}
}
}
return minb;
}
Firstly, I assume the spent time indicated by Very Sleepy means that the majority of time is spent allocating the vector and deleting the vector?
Secondly, are there any suggestions to speed this code up?
Thanks
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