test-Head.C File Reference

#include "Component/ModelManager.H"
#include "Devices/DeviceOpts.H"
#include "Devices/FrameGrabberConfigurator.H"
#include "Devices/FrameGrabberFactory.H"
#include "GUI/XWindow.H"
#include "Image/DrawOps.H"
#include "Image/CutPaste.H"
#include "Image/Image.H"
#include "Image/Pixels.H"
#include "Image/MathOps.H"
#include "Neuro/EnvVisualCortex.H"
#include "Util/Timer.H"
#include "Util/log.H"
#include "Learn/Bayes.H"
#include "Devices/BeoHead.H"
#include "Envision/env_image_ops.h"
#include "GUI/DebugWin.H"
#include <ctype.h>
#include <deque>
#include <iterator>
#include <stdlib.h>
#include <string>
#include <vector>
#include <map>

Include dependency graph for test-Head.C:

Go to the source code of this file.

Classes
struct	BiasParam
Defines
#define	NumFeatureNames   7
#define	NBINS   16
#define	NFEATURES   NBINS
#define	FSIZE   75
Enumerations
enum	State { TRAIN, BIAS, MOVE, NO_BIAS }
Functions
void	display (Image< PixRGB< byte > > &leftImg, const Image< byte > &leftSmap, const Point2D< int > &leftWinner, const byte maxVal)
void	display (const Image< PixRGB< byte > > &img, const Image< PixRGB< byte > > &smap, Point2D< int > &winner, Rectangle &rect)
Rectangle	getBoundBox ()
void	showHist (std::vector< double > &hist, int pos)
void	showProb (int pos)
void	showFeatures (std::vector< double > &fv, int pos)
void	findMinMax (std::vector< double > &vec, double &min, double &max)
void	normalize (std::vector< double > &hist)
double	compBhattHist (const std::vector< double > &a_hist, const std::vector< double > &b_hist)
double	compEquHist (const std::vector< double > &a_hist, const std::vector< double > &b_hist)
double	compProbHist (const std::vector< double > &a_hist, const std::vector< double > &b_hist)
int	cMapLearnProc (const char *tagName, struct env_image *cmap)
int	cMapLeftBiasProc (const char *tagName, struct env_image *cmap)
int	cMapRightBiasProc (const char *tagName, struct env_image *cmap)
int	main (int argc, const char **argv)
Variables
const char *	featureNames [7]
ModelManager *	mgr
XWinManaged *	xwin
XWinManaged *	debugXWin
Timer	timer
Image< PixRGB< byte > >	disp
Point2D< int >	curWinner
Point2D< int >	learnPos
Dims	imageDims
Bayes *	bayesNet
byte	SmaxVal = 0
std::map< const std::string, std::vector< double > >	featuresHist
std::vector< double >	featuresVal (NumFeatureNames, 0)
State	state = NO_BIAS
Point2D< int >	lastWinner
int	smap_level = -1
bool	debug = 0
bool	training = false
bool	keepTraining = false
bool	tracking = false
int	trackingTime = 0

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Detailed Description

Test Head

Definition in file test-Head.C.

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Function Documentation

int cMapLearnProc	(	const char *	tagName,
		struct env_image *	cmap
	)

i;

Definition at line 184 of file test-Head.C.

References Point2D< T >::i, and env_dims::w.

int cMapLeftBiasProc	(	const char *	tagName,
		struct env_image *	cmap
	)

i;

Definition at line 227 of file test-Head.C.

References exp(), Bayes::getMean(), Bayes::getStdevSq(), env_dims::h, Point2D< T >::i, sqrt(), and env_dims::w.

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Variable Documentation

const char* featureNames[7]

Initial value:

 {
        "red/green",
        "blue/yellow",
        "intensity",
        "steerable(01/04)",
        "steerable(02/04)",
        "steerable(03/04)",
        "steerable(04/04)"
        }

Definition at line 66 of file test-Head.C.