opencv/modules/video/test/test_kalman.cpp
Vadim Pisarevsky 11eafca3e2
removed C API in the following modules: photo, video, imgcodecs, videoio (#13060)
* removed C API in the following modules: photo, video, imgcodecs, videoio

* trying to fix various compile errors and warnings on Windows and Linux

* continue to fix compile errors and warnings

* continue to fix compile errors, warnings, as well as the test failures

* trying to resolve compile warnings on Android

* Update cap_dc1394_v2.cpp

fix warning from the new GCC
2018-11-09 00:52:09 +03:00

114 lines
3.9 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "test_precomp.hpp"
#include "opencv2/video/tracking.hpp"
namespace opencv_test { namespace {
class CV_KalmanTest : public cvtest::BaseTest
{
public:
CV_KalmanTest();
protected:
void run(int);
};
CV_KalmanTest::CV_KalmanTest()
{
}
void CV_KalmanTest::run( int )
{
int code = cvtest::TS::OK;
const int Dim = 7;
const int Steps = 100;
const double max_init = 1;
const double max_noise = 0.1;
const double EPSILON = 1.000;
RNG& rng = ts->get_rng();
int i, j;
cv::Mat Sample(Dim,1,CV_32F);
cv::Mat Temp(Dim,1,CV_32F);
cv::KalmanFilter Kalm(Dim, Dim);
Kalm.transitionMatrix = cv::Mat::eye(Dim, Dim, CV_32F);
Kalm.measurementMatrix = cv::Mat::eye(Dim, Dim, CV_32F);
Kalm.processNoiseCov = cv::Mat::eye(Dim, Dim, CV_32F);
Kalm.errorCovPre = cv::Mat::eye(Dim, Dim, CV_32F);
Kalm.errorCovPost = cv::Mat::eye(Dim, Dim, CV_32F);
Kalm.measurementNoiseCov = cv::Mat::zeros(Dim, Dim, CV_32F);
Kalm.statePre = cv::Mat::zeros(Dim, 1, CV_32F);
Kalm.statePost = cv::Mat::zeros(Dim, 1, CV_32F);
cvtest::randUni(rng, Sample, Scalar::all(-max_init), Scalar::all(max_init));
Kalm.correct(Sample);
for(i = 0; i<Steps; i++)
{
Kalm.predict();
const Mat& Dyn = Kalm.transitionMatrix;
for(j = 0; j<Dim; j++)
{
float t = 0;
for(int k=0; k<Dim; k++)
{
t += Dyn.at<float>(j,k)*Sample.at<float>(k);
}
Temp.at<float>(j) = (float)(t+(cvtest::randReal(rng)*2-1)*max_noise);
}
Temp.copyTo(Sample);
Kalm.correct(Temp);
}
Mat _state_post = Kalm.statePost;
code = cvtest::cmpEps2( ts, Sample, _state_post, EPSILON, false, "The final estimated state" );
if( code < 0 )
ts->set_failed_test_info( code );
}
TEST(Video_Kalman, accuracy) { CV_KalmanTest test; test.safe_run(); }
}} // namespace
/* End of file. */