#include <ColorMatch.h>

Public Member Functions
	ColorMatch ()

void	AddColorMatch (const frc::Color &color)

void	SetConfidenceThreshold (double confidence)

std::optional< frc::Color >	MatchColor (const frc::Color &colorToMatch)

std::optional< frc::Color >	MatchColor (const frc::Color &colorToMatch, double &confidence)

frc::Color	MatchClosestColor (const frc::Color &colorToMatch, double &confidence)

Detailed Description

REV Robotics Color Sensor V3.

This class allows access to a REV Robotics color sensor V3 on an I2C bus.

Constructor & Destructor Documentation

ColorMatch::ColorMatch ( )

void ColorMatch::AddColorMatch ( const frc::Color & color )

Add color to match object

Parameters

color color to add to matching

void ColorMatch::SetConfidenceThreshold ( double confidence )

Set the confidence interval for determining color. Defaults to 0.95

Parameters

confidence A value between 0 and 1

std::optional< frc::Color > ColorMatch::MatchColor ( const frc::Color & colorToMatch )

MatchColor uses euclidean distance to compare a given normalized RGB vector against stored values

Parameters

colorToMatch color to compare against stored colors

std::optional< frc::Color > ColorMatch::MatchColor	(	const frc::Color &	colorToMatch,
		double &	confidence
	)

MatchColor uses euclidean distance to compare a given normalized RGB vector against stored values

Parameters

colorToMatch	color to compare against stored colors
confidence	The confidence value for this match, this is simply 1 - euclidean distance of the two color vectors

frc::Color ColorMatch::MatchClosestColor	(	const frc::Color &	colorToMatch,
		double &	confidence
	)

MatchColor uses euclidean distance to compare a given normalized RGB vector against stored values

Parameters

colorToMatch	color to compare against stored colors
confidence	The confidence value for this match, this is simply 1 - euclidean distance of the two color vectors

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