opencv运行时出现Exception at memory location

Question

copy了一段模型匹配的代码，编译成功，但运行时出错
Unhandled exception at at 0x7543969B in canny.exe: Microsoft C++ exception: cv::Exception at memory location 0x0018F184.
内存泄露。。。。不知道哪里出错了，大神们能帮帮忙吗？谢谢~

#include "stdafx.h"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include
#include
#include
#include

using namespace std;
using namespace cv;

/// 全局变量
Mat img; Mat templ; Mat result;
char* image_window = "Source Image";
char* result_window = "Result window";

int match_method;
int max_Trackbar = 5;

/// 函数声明
void MatchingMethod( int, void* );

/** @主函数 /
int main( int argc, char* argv )
{
/// 载入原图像和模板块
img = imread( "d:\img.jpg", 1 );
templ = imread( "d:\temp1.jpg", 1 );

/// 创建窗口
namedWindow( image_window, CV_WINDOW_AUTOSIZE );
namedWindow( result_window, CV_WINDOW_AUTOSIZE );

/// 创建滑动条
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;
}

/**

• @函数 MatchingMethod

• @简单的滑动条回调函数
  /
  void MatchingMethod( int, void )
  {
  /// 将被显示的原图像
  Mat img_display;
  img.copyTo( img_display );

  /// 创建输出结果的矩阵
  int result_cols = img.cols - templ.cols + 1;
  int result_rows = img.rows - templ.rows + 1;

  result.create( result_cols, result_rows, CV_32FC1 );

  /// 进行匹配和标准化
  matchTemplate( img, templ, result, match_method );
  normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() );

  /// 通过函数 minMaxLoc 定位最匹配的位置
  double minVal; double maxVal; Point minLoc; Point maxLoc;
  Point matchLoc;

  minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );

  /// 对于方法 SQDIFF 和 SQDIFF_NORMED, 越小的数值代表更高的匹配结果. 而对于其他方法, 数值越大匹配越好
  if( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED )
  { matchLoc = minLoc; }
  else
  { matchLoc = maxLoc; }

  /// 让我看看您的最终结果
  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;
  }

Answer 1

用try catch捕获异常，查看更进一步的信息