Inheritance diagram for BoBRobotics::Navigation::InfoMaxTest:

Public Member Functions
	InfoMaxTest (const cv::Size &unwrapRes)

template<class... Ts>
auto	getImageDifferences (Ts &&... args) const

Public Member Functions inherited from BoBRobotics::Navigation::InfoMaxRotater< FloatType >
	InfoMaxRotater (const cv::Size &unwrapRes, const MatrixType &initialWeights, FloatType learningRate=0.0001)

	InfoMaxRotater (const cv::Size &unwrapRes, FloatType learningRate=0.0001)

template<class... Ts>
const std::vector< FloatType > &	getImageDifferences (const cv::Mat &image, ImgProc::Mask mask, Ts &&... args) const

template<class... Ts>
const std::vector< FloatType > &	getImageDifferences (const cv::Mat &image, Ts &&... args) const

template<class... Ts>
auto	getHeading (const cv::Mat &image, ImgProc::Mask mask, Ts &&... args) const

template<class... Ts>
auto	getHeading (const cv::Mat &image, Ts &&... args) const

Public Member Functions inherited from BoBRobotics::Navigation::InfoMax< float >
	InfoMax (const cv::Size &unwrapRes, const MatrixType &initialWeights, float learningRate=0.0001)

	InfoMax (const cv::Size &unwrapRes, float learningRate=0.0001)

void	train (const cv::Mat &image, const ImgProc::Mask &=ImgProc::Mask{})

float	test (const cv::Mat &image, const ImgProc::Mask &=ImgProc::Mask{}) const

void	clearMemory ()
	Generates new random weights.

const MatrixType &	getWeights () const

const cv::Size &	getUnwrapResolution () const
	Get the resolution of images.

Additional Inherited Members
Static Public Member Functions inherited from BoBRobotics::Navigation::InfoMax< float >
static MatrixType	generateInitialWeights (const int numInputs, const int numHidden, const unsigned seed=std::random_device()())

The documentation for this class was generated from the following file:

Public Member Functions

Additional Inherited Members