ACT-CV - Machine Vision for Cognitive Modeling
|
test the OpenCV Kalman Filter code More...
#include <KalmanTest.h>
Public Member Functions | |
const char * | GetName () const |
void | Run () |
Public Member Functions inherited from tests::TestCase | |
template<class _t1 , class _t2 > | |
void | AssertEqual (_t1 a, _t2 b, const char *fn="", int l=-1) |
template<class _t1 , class _t2 > | |
void | AssertBelow (_t1 a, _t2 b, const char *fn="", int l=-1) |
template<class _t1 , class _t2 > | |
void | AssertAbove (_t1 a, _t2 b, const char *fn="", int l=-1) |
void | AssertTrue (bool b, const char *fn="", int l=-1) |
void | AssertFalse (bool b, const char *fn="", int l=-1) |
Public Member Functions inherited from ReferenceCount | |
ReferenceCount () | |
virtual | ~ReferenceCount () |
void | IncRefCount () |
void | DecRefCount () |
test the OpenCV Kalman Filter code
tests cvKalmanCorrect and cvKalmanPredict (one dimension only)
Definition at line 40 of file KalmanTest.h.
|
virtual |
Implements tests::TestCase.
Definition at line 42 of file KalmanTest.h.
|
virtual |
Implements tests::TestCase.
Definition at line 46 of file KalmanTest.h.
References KalmanFilter< _dims >::AddMeasure(), tests::TestCase::AssertBelow(), tests::TestCase::AssertEqual(), KalmanFilter< _dims >::GetCorrectedState(), KalmanFilter< _dims >::GetVariance(), KalmanFilter< _dims >::InitRandom(), and KalmanFilter< _dims >::Predict().