Hello,
I am trying to learn template matching using OpenCV. I started off with trying to compile the code located in this address that was provided by OpenCV.
http://docs.opencv.org/doc/tutorials/imgproc/histograms/template_matching/template_matching.html
The code complied after I configured OpenCV with Visual Studio 10 Ulimate edition. When I run the compiled exe, it crashes with some weird message about line 929 NULL pointer or similar. I traced down the problem to this line:
img = imread( argv[1], 1 );
templ = imread( argv[2], 1 );
In above two, I replaced the argv[1] and argv[2] with their respective "image_name.jpg" and then I did not receive the same crash message anymore. Now I was getting a different message. I traced down the problem to the following line:
matchTemplate( img, templ, result, match_method );
It just doesn't work for me. Was I supposed to modify that line? Please help. Also, when I comment out that line I traced another problem to the following line.
imshow( image_window, img_display );
What am I doing wrong? Please help!
Thanks!
Here's the code I am trying to compile...
I get the following error when I don't comment-out matchTemplate() function
Unhandled exception at 0x74cac41f in object.exe: Microsoft C++ exception: cv::Exception at memory location
0x0037dcdc.. /**
* @file MatchTemplate_Demo.cpp
* @brief Sample
0x0037dcdc..
The
code
to use the function MatchTemplate
* @author OpenCV team
*/ include "opencv2/highgui/highgui.hpp"
include "opencv2/imgproc/imgproc.hpp"
include <opencv2 core="" core.hpp="">
include <iostream>
include <stdio.h>
that was build : #include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <opencv2/core/core.hpp>
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace
cv; cv;
/// Global Variables
Mat img; Mat templ; Mat result;
const char* image_window = "Source Image";
const char* result_window = "Result
window"; window";
int match_method;
int max_Trackbar =
5; 5;
/// Function Headers
void MatchingMethod( int, void*
); /*
);
/**
* @function main
*/
int main( int,
char* char** argv )
{
{
img = imread( "Template_Matching_Original_Image.jpg", 1 );
templ = imread( "Template_Matching_Template_Image.jpg", 1 );
/// Load image and template
/* img = imread( argv[1], 1 );
templ = imread( argv[2], 1
); );
cout << "Hello\n";
*/
/// Create windows
namedWindow( image_window, CV_WINDOW_AUTOSIZE );
namedWindow( result_window, CV_WINDOW_AUTOSIZE
); );
/// Create Trackbar
const char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod
); );
MatchingMethod( 0, 0
); );
waitKey(0);
return
0; }
/*
* @function MatchingMethod
* @brief Trackbar callback
*/
0;
}
void MatchingMethod( int,
void)
void*)
{
/// Source image to display
Mat img_display;
img.copyTo( img_display
); );
/// Create the result matrix
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows +
1; 1;
result.create( result_cols, result_rows, CV_32FC1
); );
/// Do the Matching and Normalize
matchTemplate( img, templ, result, match_method );
normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat()
); );
/// Localizing the best match with minMaxLoc
double minVal; double maxVal; Point minLoc; Point maxLoc;
Point
matchLoc; matchLoc;
minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat()
); );
/// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
if( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED )
{ matchLoc = minLoc; }
else
{ matchLoc = maxLoc;
} }
/// Show me what you got
rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0
); );
// imshow( image_window, img_display );
imshow( result_window, result
); );
return;
}}
Any help would be appreciated. Thanks!
