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/********************************************************
Author: Suraj Prakash
return_image = TemplateMatcher(InputArray image, InputArray templage_image, int method)
********************************************************/
#include <numeric>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/opencv.hpp"
#include <iostream>
#include <vector>
using namespace cv;
using namespace std;
extern "C"{
#include "api_scilab.h"
#include "Scierror.h"
#include "BOOL.h"
#include <localization.h>
#include <sciprint.h>
#include "../common.h"
int opencv_TemplateMatcher(char *fname, unsigned long fname_len){
/// Error management variable
SciErr sciErr;
/// Variables
int i, j;
int iRows = 0;
int iCols = 0;
int *piLen = NULL;
int *piAddr = NULL;
char **method = NULL;
/// checking input argument
CheckInputArgument(pvApiCtx, 2, 3);
CheckOutputArgument(pvApiCtx, 1, 1);
Mat image, template_image;
retrieveImage(image, 1);
retrieveImage(template_image, 2);
/// if there is inconsistency in data type of image and template image
if(type2str(image.type()) != type2str(template_image.type())){
Scierror(999, "%s: Image and template image are not of same type\n");
return 0;
}
if(template_image.rows > image.rows or template_image.cols > image.cols){
Scierror(999, "%s: Dimensions of template image is greater then image\n");
return 0;
}
/// generated image is (W - w + 1) * (H - h + 1) and it must be 32 bit floating number with single channel
Mat new_image(image.rows, image.cols, image.type());
int nbInputArguments = *getNbInputArgument(pvApiCtx);
if(nbInputArguments > 2){
/// variable address
sciErr = getVarAddressFromPosition(pvApiCtx, 3, &piAddr);
if(sciErr.iErr){
printError(&sciErr, 0);
return 0;
}
/// Retrieve string from input parameter. (requires 3 calls)
/// first to retrieve dimensions
sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, NULL, NULL);
if(sciErr.iErr){
printError(&sciErr, 0);
return 0;
}
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
//second call to retrieve length of each string
sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr){
printError(&sciErr, 0);
return 0;
}
method = (char**)malloc(sizeof(char*) * iRows * iCols);
for(i = 0 ; i < iRows * iCols ; i++)
method[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination
//third call to retrieve data
sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, method);
if(sciErr.iErr){
printError(&sciErr, 0);
return 0;
}
if(strcmp(method[0], "CV_TM_SQDIFF") == 0)
matchTemplate(image, template_image, new_image, CV_TM_SQDIFF);
else if(strcmp(method[0], "CV_TM_SQDIFF_NORMED") == 0)
matchTemplate(image, template_image, new_image, CV_TM_SQDIFF_NORMED);
else if(strcmp(method[0], "CV_TM_CCORR") == 0)
matchTemplate(image, template_image, new_image, CV_TM_CCORR);
else if(strcmp(method[0], "CV_TM_CCORR_NORMED") == 0)
matchTemplate(image, template_image, new_image, CV_TM_CCORR_NORMED);
else if(strcmp(method[0], "CV_TM_CCOEFF") == 0)
matchTemplate(image, template_image, new_image, CV_TM_CCOEFF);
else if(strcmp(method[0], "CV_TM_CCOEFF_NORMED") == 0)
matchTemplate(image, template_image, new_image, CV_TM_CCOEFF_NORMED);
else{
matchTemplate(image, template_image, new_image, CV_TM_SQDIFF);
sciprint("Wrong method given, using CV_TM_SQDIFF instead");
}
}
else{
matchTemplate(image, template_image, new_image, CV_TM_SQDIFF);
}
string tempstring = type2str(new_image.type());
char *checker;
checker = (char *)malloc(tempstring.size() + 1);
memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
returnImage(checker, new_image, 1);
free(checker);
//Assigning the list as the Output Variable
AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
//Returning the Output Variables as arguments to the Scilab environment
ReturnArguments(pvApiCtx);
return 0;
}
/* ==================================================================== */
}
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