EM->getCovs
Hi there, I wanna use cv::ml::EM module. However, when I get covariance after estimating GMM in debug mode, there is an error. Error message is "Exception thrown at 0x00007FFBA36AD225 (opencv_world310.dll) in Ex_gmm_v1.exe: 0xC0000005: Access violation reading location 0xFFFFFFFFFFFFFFFF." Same code works in release mode. My environment is windows10 based visual studio V.14. How can I solve this error? Please give me your answer. Thanks in advance.
================================================================================= // Ex_gmm.cpp : Defines the entry point for the console application. //
'#include "stdafx.h"
'#include <iostream> '#include <set>
'#include <opencv2\highgui.hpp> '#include <opencv2\imgproc.hpp> '#include <opencv2\ml.hpp>
'#include <stdio.h> '#include <cxcore.h> '#include <fstream> '#include <string.h> '#include <highgui.h> '#include <cv.h> '#define M_PI 3.14
using namespace std; using namespace cv; using namespace cv::ml;
int main() { const int N = 4; const int N1 = (int)sqrt((double)N); const Scalar colors[] = { Scalar(0,0,255), Scalar(0,255,0), Scalar(0,255,255),Scalar(255,255,0) };
int i, j;
int nsamples = 100;
Mat samples(nsamples, 2, CV_32FC1);
Mat labels;
Mat img = Mat::zeros(Size(500, 500), CV_8UC3);
Mat sample(1, 2, CV_32FC1);
samples = samples.reshape(2, 0);
for (i = 0; i < N; i++)
{
// form the training samples
Mat samples_part = samples.rowRange(i*nsamples / N, (i + 1)*nsamples / N);
Scalar mean(((i%N1) + 1)*img.rows / (N1 + 1),
((i / N1) + 1)*img.rows / (N1 + 1));
Scalar sigma(30, 30);
randn(samples_part, mean, sigma);
}
samples = samples.reshape(1, 0);
// cluster the data
Ptr<EM> em_model = EM::create();
em_model->setClustersNumber(N);
em_model->setCovarianceMatrixType(EM::COV_MAT_GENERIC);
em_model->setTermCriteria(TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 300, 0.1));
em_model->trainEM(samples, noArray(), labels, noArray());
cv::Mat Means = em_model->getMeans();
cv::Mat Weights = em_model->getWeights();
std::vector<cv::Mat> covs;
**em_model->getCovs(covs); // stop here**
// classify every image pixel
for (i = 0; i < img.rows; i++)
{
for (j = 0; j < img.cols; j++)
{
sample.at<float>(0) = (float)j;
sample.at<float>(1) = (float)i;
int response = cvRound(em_model->predict2(sample, noArray())[1]);
Scalar c = colors[response];
circle(img, Point(j, i), 1, c*0.75, FILLED);
}
}
//draw the clustered samples
for (i = 0; i < nsamples; i++)
{
Point pt(cvRound(samples.at<float>(i, 0)), cvRound(samples.at<float>(i, 1)));
circle(img, pt, 1, colors[labels.at<int>(i)], FILLED);
}
imshow("EM-clustering result", img);
waitKey(0);
return 0;
}
Hi my friend, I'm getting the same error as yours, I don't know if you had solved the problem yet?? if you have solution, please share with me your solution. Thanks in advance.
@nbtvu , please do not post an answer, if you havent any.