Question

当我尝试运行代码时出现此错误：

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，文件 /Users/ts/documents/opencv-3.0.0-beta/modules/imgproc/src/templmatch.cpp，第658行libc ++ abi.dylib：以未捕获的类型异常终止 CV ::例外： /Users/ts/documents/opencv-3.0.0-beta/modules/imgproc/src/templmatch.cpp:658：错误：（-215）corrsize.height＆lt; = img.rows + templ.rows - 1＆amp;＆amp; corrsize.width＆lt; = img.cols + templ.cols - 函数crossCorr中的1

这是源代码：

#include "opencv2/imgcodecs.hpp"
#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;

/// Global Variables

Mat img; Mat templ; 
Mat result;
const char* image_window = "Source Image";
const char* result_window = "Result window";

int match_method;
int max_Trackbar = 5;

/// Function Headers
void MatchingMethod( int, void* );

/**
* @function main
*/

 int main( int, char** argv )
 {

 /// Load image and template

 img = imread( argv[1], 1);
 templ = imread( argv[2], 1);

/// Create windows
namedWindow( image_window, WINDOW_AUTOSIZE );
namedWindow( result_window, 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
*/

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_rows, result_cols, 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  == TM_SQDIFF || match_method == 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;
}

Answer 1

您确定cv::imread()正确加载了图片吗？如果您提供完整路径而不是argv的值<？p>，它是否有效？

即：

img = imread("C:/original_image.jpg");
templ = imread("C:/template_image.jpg");

OpenCV错误：交叉相关中的断言失败

1 个答案: