ev::Mat::Mat_< T > Class Template Reference

Matrix of event data. On top of cv::Mat_, it can account for the events it receives through updateStats(). More...

#include <matrices.hpp>

Inheritance diagram for ev::Mat::Mat_< T >:

Public Member Functions
void	updateStats (const Event &e)
	Account for an event in the statistics reported by count() and duration().
std::size_t	count () const
	Number of events accounted for by updateStats().
TimeType	firstTimestamp () const
	Timestamp of the first event accounted for by updateStats().
TimeType	lastTimestamp () const
	Timestamp of the last event accounted for by updateStats().
void	resetStats ()
	Reset statistics.
void	clear ()
	Reset all pixels.
Public Member Functions inherited from ev::Stats_< Mat_< T > >
ResultType	duration () const
	Time difference between the last and the first event.
ResultType	rate () const
	Compute event rate as the ratio between the number of events and the time difference between the last and the first event.
ResultType	density (const cv::Size size) const
	Compute event density as the ratio between the number of events and the number of pixels.
std::size_t	activePixels () const
	Count the pixels with at least one event.
ResultType	fillRatio (const cv::Size size) const
	Compute fill ratio as the fraction of pixels with at least one event.
ResultType	polarityRatio (const PolarityType p) const
	Compute polarity ratio as the fraction of events with the given polarity.
Event_< ResultType >	mean () const
	Compute the mean of the events.
cv::Point_< ResultType >	meanPoint () const
	Compute the mean x,y point of the events.
cv::Matx< ResultType, 2, 2 >	covariance () const
	Compute the covariance of the x,y coordinates of the events around meanPoint().
cv::Rect	boundingBox () const
	Compute the smallest rectangle of pixels containing the events.
ResultType	meanTime () const
	Compute the mean time of the events.
ResultType	midTime () const
	Calculate the midpoint time between the oldest and the newest event.
std::size_t	peak () const
	Find the largest number of events on a single pixel.
ResultType	entropy () const
	Compute the Shannon entropy of the spatial distribution of the events.

Additional Inherited Members
Public Types inherited from ev::Stats_< Mat_< T > >
using	ResultType

Detailed Description

template<typename T>
class ev::Mat::Mat_< T >

Matrix of event data. On top of cv::Mat_, it can account for the events it receives through updateStats().

Note

Accounting is opt-in: insert() and emplace() never call updateStats(), so a matrix that does not use the statistics pays nothing for them.

Member Function Documentation

count()

template<typename T>

std::size_t ev::Mat::Mat_< T >::count ( ) const

inlinenodiscard

Number of events accounted for by updateStats().

Returns

Event count

firstTimestamp()

template<typename T>

TimeType ev::Mat::Mat_< T >::firstTimestamp ( ) const

inlinenodiscard

Timestamp of the first event accounted for by updateStats().

Returns

Timestamp

lastTimestamp()

template<typename T>

TimeType ev::Mat::Mat_< T >::lastTimestamp ( ) const

inlinenodiscard

Timestamp of the last event accounted for by updateStats().

Returns

Timestamp

updateStats()

template<typename T>

void ev::Mat::Mat_< T >::updateStats ( const Event & e )

inline

Account for an event in the statistics reported by count() and duration().

Parameters

e	Event to account for

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

• modules/core/include/openev/core/matrices.hpp