Hello,I got error at run time "debug assertion failure" Expression "vector subscription out of range"
I debug my code step by step ,I figure out that code crashes at line Mat final=Images[best];.....
how to solve this?
code is.....
int main( int argc, char** argv )
{
int minHessian=400;
char * filename = new char[100];
//to store the current input image
Mat input;
vector<mat>bowTrain;
//To store the keypoints that will be extracted by SURF
vector<keypoint> keypoints1,keypoints2;
//To store the SURF descriptor of current image
Mat descriptor1,descriptor2;
//To store all the descriptors that are extracted from all the images.
Mat featuresUnclustered;
//The SURF feature extractor and descriptor
SurfDescriptorExtractor detector(minHessian,4,2,false);
//I select 20 (1000/50) images from 1000 images to extract feature descriptors and build the vocabulary
for(int f=0;f<2;f++){
//create the file name of an image
sprintf(filename,"C:\\harshada\\OpenCV BoFSURF\\Release\\image1\\%i.jpg",f);
if(filename==NULL)
{
printf("Error in reading");
}
//open the file
input = imread(filename, CV_LOAD_IMAGE_GRAYSCALE); //Load as grayscale
//detect feature points
detector.detect(input, keypoints1);
//compute the descriptors for each keypoint
detector.compute(input, keypoints1,descriptor1);
bowTrain.push_back(descriptor1);
//put the all feature descriptors in a single Mat object
featuresUnclustered.push_back(descriptor1);
}
char * filename2 = new char[100];
sprintf(filename2,"C:\\harshada\\OpenCV BoFSURF\\Release\\image1\\0.jpg");
Mat img=imread(filename2,CV_LOAD_IMAGE_GRAYSCALE);
//Mat img=imread("C:\\harshada\\OpenCV BoFSURF\\Release\\image1\\3.jpg",CV_LOAD_IMAGE_GRAYSCALE);
detector.detect(img,keypoints2);
detector.compute(img,keypoints2,descriptor2);
BruteForceMatcher< L2<float> > matcher;
std::vector< DMatch > matches;
int best=0;
vector<Mat>Images;
double max_dist = 0; double min_dist = 100;
for(size_t i=0;i<bowTrain.size();i++)
{
if (bowTrain[i].type() != descriptor2.type())
{
printf("error1:check type");
}
if (bowTrain[i].size() != descriptor2.size())
{
printf("error2:check type");
break;
}
double dist=norm(bowTrain[i],descriptor2);
if(dist<min_dist)
{
min_dist=dist;
best=i;
}
}
Mat final=Images[best];
return 0; }