#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;
}
在使用opencv的示例代码时,我遇到以下错误。我是QT C ++的新手,我不知道如何调试它。通常在Java中我会使用stacktrace并告诉我在代码的哪个部分我搞砸了,但这似乎直接指向了库。
OpenCV错误:断言失败(corrsize.height&lt; = img.rows + templ.rows - 1&amp;&amp; corrsize.width&lt; = img.cols + templ.cols - 1)in crossCorr,file c:/ OpenCV / opencv /modules/imgproc/src/templmatch.cpp, 抛出'cv :: Exception'实例后第70行终止调用 what():c:/OpenCV/opencv/modules/imgproc/src/templmatch.cpp:70:0: 错误:(-215)corrsize.height&lt; = img.rows + templ.rows - 1&amp;&amp; corrsize.width&lt; = img.cols + te mpl.cols - 函数crossCorr中的1
更新:生成的.exe文件会运行,但不会从QtCreator启动时运行。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。当我单击Qt Creator中的“运行”按钮时,它将在上面抛出相同的错误消息。
答案 0 :(得分:5)
当我将不正确的文件名称为image / templ时,我收到了同样的错误。如果您提供的文件名不正确,则不会出错,但创建的Mat的大小(0,0)。因此断言错误。
当我提供正确的图像时,该程序运行良好。
我的输出(正确的图像文件名)
P.S。我正在使用OpenCV 2.4.0
答案 1 :(得分:1)
问题来自结果Mat大小,当你使用mat的创建方法时,第一个参数是行数,第二个是 col的数量,所以你应该改变result.create( result_cols, result_rows, CV_32FC1 );
至result.create( result_rows, result_cols, CV_32FC1 );
答案 2 :(得分:0)
我遇到了同样的问题 - 我只能在强行更改两种类型之后才能使用它,如下所示:
cvtColor(src,src,CV_8UC1); //channels need to match template
cvtColor(template,template,CV_8UC1); //channels need to match template