#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;
/// Global Variables
Mat img; Mat templ; Mat result;
char* image_window = "Source Image";
char* result_window = "Result window";
int match_method;
int max_Trackbar = 5;
/// Function Headers
void MatchingMethod(int, void*);
/** @function main */
int main(int argc, char** argv)
{
/// Load image and template
img = imread("test.png", 1);
templ = imread("template.png", 1);
/// Create windows
namedWindow(image_window, CV_WINDOW_AUTOSIZE);
namedWindow(result_window, CV_WINDOW_AUTOSIZE);
/// Create Trackbar
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
*/
void MatchingMethod(int, 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;
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;
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;
}
使用来自opencv的示例代码时,遇到以下错误。我对QT C++很新,我不知道如何调试。通常在Java中,我会使用堆栈跟踪并告诉我在哪里我搞砸了代码,但这似乎直接指向库。OpenCV模板匹配错误
OpenCV Error: Assertion failed (corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + templ.cols - 1) in crossCorr, file c:/OpenCV/opencv /modules/imgproc/src/templmatch.cpp, line 70 terminate called after throwing an instance of 'cv::Exception' what(): c:/OpenCV/opencv/modules/imgproc/src/templmatch.cpp:70: error: (-215) corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + te mpl.cols - 1 in function crossCorr
UPDATE:内置.exe文件运行,但不能当它是从QtCreator启动。我能够启动内置的.exe文件。我复制了QtSDK/Simulator/mingw/bin中的文件,令我惊讶的是应用程序运行成功。当我点击Qt Creator里面的运行按钮时,它会抛出上面相同的错误信息。
您应该仍然能够使用调试器可以找到代码的最后一行是在崩溃之前执行的。 –