This is just a quick question i'm playing with the code at this link and below How to use IPP7.1 & OpenCV 2.4.1
And when I cout the NumUploadedFunction after each for next loop the value of the cvUse Optimized return is 1 both times...I was hoping some one can tell me why this is and maybe direct me to a link of where i can understand cvUseOptimized better...like how i can tell if a function is an optimized function i can use cvUseOtimized on....from the code at the link i assume cvMatchTemplate is an optimized function but i dont understand why in this code the NumUploadedFunction output is 1 after cvUseOptimized is set to 0
double t1, t2,timeCalc;
IplImage *template_image = cvLoadImage ("c:\\box.png",0);
IplImage* converted_image= cvLoadImage ("c:\\box_in_scene.png",0);
CvSize cvsrcSize = cvGetSize(converted_image);
cout << " image match template using OpenCV cvMatchTemplate() " << endl;
IplImage *image_ncc, *result_ncc;
image_ncc = cvCreateImage(cvsrcSize,8,1);
memcpy(image_ncc->imageData,converted_image->imageData,converted_image->imageSize);
result_ncc = cvCreateImage(cvSize(converted_image->width
-template_image->width+1, converted_image->height-
template_image->height+1),IPL_DEPTH_32F,1);
int NumUploadedFunction = cvUseOptimized(1);
t1 = (double)cvGetTickCount();
for (int j=0;j<LOOP;j++)
cvMatchTemplate(image_ncc, template_image, result_ncc, CV_TM_CCORR_NORMED);
t2 = (double)cvGetTickCount();
timeCalc=(t2-t1)/((double)cvGetTickFrequency()*1000. * 1000.0);
cout << " OpenCV matchtemplate using cross-correlation Valid: " <<
timeCalc << endl;
NumUploadedFunction = cvUseOptimized(0); t1 = (double)cvGetTickCount(); for (int j=0;j<loop;j++) cvmatchtemplate(image_ncc,="" template_image,="" result_ncc,="" cv_tm_ccorr_normed);="" t2="(double)cvGetTickCount();" timecalc="(t2-t1)/((double)cvGetTickFrequency()*1000." *="" 1000.0);="" cout="" <<="" "="" opencv="" matchtemplate="" using="" cross-correlation="" valid:="" "="" <<="" timecalc="" <<="" endl;="" <="" p="">