|
|
|
@ -513,7 +513,7 @@ namespace cv |
|
|
|
|
//e1 = getTickCount();
|
|
|
|
|
for (int i = 0; i < (int)varBuffer.size(); i++) |
|
|
|
|
{ |
|
|
|
|
prepareClassifiers((int)blurred_imgs[varScaleIDs[i]].step[0]); |
|
|
|
|
prepareClassifiers(static_cast<int> (blurred_imgs[varScaleIDs[i]].step[0])); |
|
|
|
|
if (ensembleClassifierNum(&blurred_imgs[varScaleIDs[i]].at<uchar>(varBuffer[i].y, varBuffer[i].x)) <= ENSEMBLE_THRESHOLD) |
|
|
|
|
continue; |
|
|
|
|
ensBuffer.push_back(varBuffer[i]); |
|
|
|
@ -582,7 +582,7 @@ namespace cv |
|
|
|
|
int scaleID; |
|
|
|
|
std::vector <Mat> resized_imgs, blurred_imgs; |
|
|
|
|
std::vector <Point> varBuffer, ensBuffer; |
|
|
|
|
std::vector <double> varScaleIDs, ensScaleIDs; |
|
|
|
|
std::vector <int> varScaleIDs, ensScaleIDs; |
|
|
|
|
//int64 e1, e2;
|
|
|
|
|
//double t;
|
|
|
|
|
|
|
|
|
@ -636,7 +636,7 @@ namespace cv |
|
|
|
|
//NN classification
|
|
|
|
|
//e1 = getTickCount();
|
|
|
|
|
//Prepare batch of patches
|
|
|
|
|
int numOfPatches = ensBuffer.size(); |
|
|
|
|
int numOfPatches = (int)ensBuffer.size(); |
|
|
|
|
Mat_<uchar> stdPatches(numOfPatches, 225); |
|
|
|
|
double *resultSr = new double[numOfPatches]; |
|
|
|
|
double *resultSc = new double[numOfPatches]; |
|
|
|
|