嗨，这是模板匹配的代码。我正在做8种不同模板的匹配。 现在问题是我想无限期地运行该程序。但是当我试图插入一个无限循环时，我的程序运行一次，我得到了错误：
我在打印参考和模板图像的深度，宽度，类型和高度后观察到，在'for'循环的一个完整循环之后，模板的参数被更改。 我认为这是数据损坏的问题。我对这个问题感到无助。 请帮我。
avenger@ubuntu:~/opencv/opencv-2.4.9/finalproject/templet_matching$ ./temp
init done
opengl support available
Referece Image Mat Width:960
Referece Image Mat Hight:720
Referece Image Mat depth:0
Referece Image Mat type:16
Saved new_ref008.jpg
在for循环的第一个周期中模板一个数据
Template Matched
Referece Template Mat Width:190
Referece Template Mat Hight:195
Referece Template Mat depth:0
Referece Template Mat type:16
Template Matched
Template Matched
Template Matched
Template Matched
Template Matched
Template Matched
Template Matched
Referece Image Mat Width:800
Referece Image Mat Hight:600
Referece Image Mat depth:0
Referece Image Mat type:16
for循环1个循环后的模板一个数据
Referece Template Mat Width:611
Referece Template Mat Hight:406
Referece Template Mat depth:5
Referece Template Mat type:5
OpenCV Error: Assertion failed ((img.depth() == CV_8U || img.depth() == CV_32F) && img.type() == templ.type()) in matchTemplate, file /home/avenger/opencv/opencv-2.4.9/modules/imgproc/src/templmatch.cpp, line 249
terminate called after throwing an instance of 'cv::Exception'
what(): /home/avenger/opencv/opencv-2.4.9/modules/imgproc/src/templmatch.cpp:249: error: (-215) (img.depth() == CV_8U || img.depth() == CV_32F) && img.type() == templ.type() in function matchTemplate
Aborted (core dumped)
这是我的代码：相机未打开，因为我没有连接它。
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
#include<opencv2/opencv.hpp>
#include"camera.h"
extern "C"
{
#include"serial.h"
}
using namespace cv;
int temp_count=0;
unsigned char byte;
unsigned char data_byte[8];
int main(void)
{
cv::Mat image = cv::imread("ref.jpg",1);
cv::Mat ref_image;
image.copyTo(ref_image);
cv:: Mat des[7]; // Array for template matching result (destination)
cv::Mat ref_temp[7]; // Array for templates or ROI in Reference image
ref_temp[0] = cv:: Mat(ref_image, cv::Rect(167, 85, 433, 455));
ref_temp[1] = cv:: Mat(ref_image, cv::Rect(550,85, 433, 455));
ref_temp[2] = cv:: Mat(ref_image, cv::Rect(1042,85,433, 455));
ref_temp[3] = cv:: Mat(ref_image, cv::Rect(1528,85,433, 455));
ref_temp[4] = cv:: Mat(ref_image, cv::Rect(65, 1010, 423, 442));
ref_temp[5] = cv:: Mat(ref_image, cv::Rect(548, 1010, 423, 442));
ref_temp[6] = cv:: Mat(ref_image, cv::Rect(1025, 1010, 423, 442));
ref_temp[7] = cv:: Mat(ref_image, cv::Rect(1529, 1010, 423, 442));
namedWindow("Match Result", CV_WINDOW_KEEPRATIO );
while(1){
capture_image(ref_image);// Capture new frame from camera and copy it to ref_image
for(temp_count=0;temp_count<8;temp_count++)
{
cv::matchTemplate(ref_image, ref_temp[temp_count], des[temp_count], CV_TM_CCORR_NORMED);
while (true)
{
double minval, maxval;
Point minloc, maxloc;
cv::minMaxLoc(des[temp_count], &minval, &maxval, &minloc, &maxloc);
if (maxval >= 0.8){
cv::rectangle(ref_image,maxloc,cv::Point(maxloc.x + ref_temp[temp_count].cols, maxloc.y+ref_temp[temp_count].rows),CV_RGB (0,255,0),2,8);
data_byte[temp_count]=1;
std::cout << "Template Matched " << std::endl ;
break;
}
else
std::cout << "Template NOT Matched" << std::endl ;
data_byte[temp_count]=0;
break;
}
cout << "after match" << endl;
cout << "Referece Image Mat Width:" << ref_temp[temp_count].cols << endl;
cout << "Referece Image Mat Hight:" << ref_temp[temp_count].rows << endl;
cout << "Referece Image Mat depth:" << ref_temp[temp_count].depth() << endl;
cout << "Referece Image Mat type:" << ref_temp[temp_count].type() << endl;
//cout << "after match" << endl;
cout << "Referece Template Mat Width:" << ref_temp[temp_count].cols << endl;
cout << "Referece Template Mat Hight:" << ref_temp[temp_count].rows << endl;
cout << "Referece Template Mat depth:" << ref_temp[temp_count].depth() << endl;
cout << "Referece Template Mat type:" << ref_temp[temp_count].type() << endl;
}
// Here I am creating one byte of data as per the result of template match
byte |= (data_byte[0])|(data_byte[1]<<1)|(data_byte[2]<<2)|(data_byte[3]<<3)|
(data_byte[4]<<4)|(data_byte[5]<<5)|(data_byte[6]<<6)|(data_byte[7]<<7);
namedWindow("Reference Image", CV_WINDOW_KEEPRATIO );
cv::imshow("Reference Image",image);
cv::imshow("Match Result",ref_image);
}
return 0;
}