#include <trainingsample.h>

Inheritance diagram for tesseract::TrainingSample:

Collaboration diagram for tesseract::TrainingSample:

[legend]

Public Member Functions
	TrainingSample ()

	~TrainingSample ()

FEATURE_STRUCT *	GetCNFeature () const

TrainingSample *	RandomizedCopy (int index) const

TrainingSample *	Copy () const

bool	Serialize (FILE *fp) const

bool	DeSerialize (bool swap, FILE *fp)

void	ExtractCharDesc (int feature_type, int micro_type, int cn_type, int geo_type, CHAR_DESC_STRUCT *char_desc)

void	IndexFeatures (const IntFeatureSpace &feature_space)

void	MapFeatures (const IntFeatureMap &feature_map)

Pix *	RenderToPix (const UNICHARSET *unicharset) const

void	DisplayFeatures (ScrollView::Color color, ScrollView *window) const

Pix *	GetSamplePix (int padding, Pix *page_pix) const

UNICHAR_ID	class_id () const

void	set_class_id (int id)

int	font_id () const

void	set_font_id (int id)

int	page_num () const

void	set_page_num (int page)

const TBOX &	bounding_box () const

void	set_bounding_box (const TBOX &box)

uint32_t	num_features () const

const INT_FEATURE_STRUCT *	features () const

uint32_t	num_micro_features () const

const MicroFeature *	micro_features () const

int	outline_length () const

float	cn_feature (int index) const

int	geo_feature (int index) const

double	weight () const

void	set_weight (double value)

double	max_dist () const

void	set_max_dist (double value)

int	sample_index () const

void	set_sample_index (int value)

bool	features_are_mapped () const

const GenericVector< int > &	mapped_features () const

const GenericVector< int > &	indexed_features () const

bool	is_error () const

void	set_is_error (bool value)

Public Member Functions inherited from ELIST_LINK
	ELIST_LINK ()

	ELIST_LINK (const ELIST_LINK &)

void	operator= (const ELIST_LINK &)

Static Public Member Functions
static TrainingSample *	CopyFromFeatures (const INT_FX_RESULT_STRUCT &fx_info, const TBOX &bounding_box, const INT_FEATURE_STRUCT *features, int num_features)

static TrainingSample *	DeSerializeCreate (bool swap, FILE *fp)

Private Attributes
UNICHAR_ID	class_id_

int	font_id_

int	page_num_

TBOX	bounding_box_

uint32_t	num_features_

uint32_t	num_micro_features_

int	outline_length_

INT_FEATURE_STRUCT *	features_

MicroFeature *	micro_features_

float	cn_feature_ [kNumCNParams]

int	geo_feature_ [GeoCount]

double	weight_

double	max_dist_

int	sample_index_

GenericVector< int >	mapped_features_

bool	features_are_indexed_

bool	features_are_mapped_

bool	is_error_

Static Private Attributes
static const int	kYShiftValues [kSampleYShiftSize]

static const double	kScaleValues [kSampleScaleSize]

Constructor & Destructor Documentation

◆ TrainingSample()

tesseract::TrainingSample::TrainingSample ( )

inline

◆ ~TrainingSample()

tesseract::TrainingSample::~TrainingSample ( )

Member Function Documentation

◆ bounding_box()

const TBOX& tesseract::TrainingSample::bounding_box ( ) const

inline

◆ class_id()

UNICHAR_ID tesseract::TrainingSample::class_id ( ) const

inline

◆ cn_feature()

float tesseract::TrainingSample::cn_feature ( int index ) const

inline

◆ Copy()

TrainingSample * tesseract::TrainingSample::Copy ( ) const

◆ CopyFromFeatures()

TrainingSample * tesseract::TrainingSample::CopyFromFeatures	(	const INT_FX_RESULT_STRUCT &	fx_info,
		const TBOX &	bounding_box,
		const INT_FEATURE_STRUCT *	features,
		int	num_features
	)

static

◆ DeSerialize()

bool tesseract::TrainingSample::DeSerialize	(	bool	swap,
		FILE *	fp
	)

◆ DeSerializeCreate()

TrainingSample * tesseract::TrainingSample::DeSerializeCreate	(	bool	swap,
		FILE *	fp
	)

static

◆ DisplayFeatures()

void tesseract::TrainingSample::DisplayFeatures	(	ScrollView::Color	color,
		ScrollView *	window
	)		const

◆ ExtractCharDesc()

void tesseract::TrainingSample::ExtractCharDesc	(	int	feature_type,
		int	micro_type,
		int	cn_type,
		int	geo_type,
		CHAR_DESC_STRUCT *	char_desc
	)

◆ features()

const INT_FEATURE_STRUCT* tesseract::TrainingSample::features ( ) const

inline

◆ features_are_mapped()

bool tesseract::TrainingSample::features_are_mapped ( ) const

inline

◆ font_id()

int tesseract::TrainingSample::font_id ( ) const

inline

◆ geo_feature()

int tesseract::TrainingSample::geo_feature ( int index ) const

inline

◆ GetCNFeature()

FEATURE_STRUCT * tesseract::TrainingSample::GetCNFeature ( ) const

◆ GetSamplePix()

Pix * tesseract::TrainingSample::GetSamplePix	(	int	padding,
		Pix *	page_pix
	)		const

◆ indexed_features()

const GenericVector<int>& tesseract::TrainingSample::indexed_features ( ) const

inline

◆ IndexFeatures()

void tesseract::TrainingSample::IndexFeatures ( const IntFeatureSpace & feature_space )

◆ is_error()

bool tesseract::TrainingSample::is_error ( ) const

inline

◆ MapFeatures()

void tesseract::TrainingSample::MapFeatures ( const IntFeatureMap & feature_map )

◆ mapped_features()

const GenericVector<int>& tesseract::TrainingSample::mapped_features ( ) const

inline

◆ max_dist()

double tesseract::TrainingSample::max_dist ( ) const

inline

◆ micro_features()

const MicroFeature* tesseract::TrainingSample::micro_features ( ) const

inline

◆ num_features()

uint32_t tesseract::TrainingSample::num_features ( ) const

inline

◆ num_micro_features()

uint32_t tesseract::TrainingSample::num_micro_features ( ) const

inline

◆ outline_length()

int tesseract::TrainingSample::outline_length ( ) const

inline

◆ page_num()

int tesseract::TrainingSample::page_num ( ) const

inline

◆ RandomizedCopy()

TrainingSample * tesseract::TrainingSample::RandomizedCopy ( int index ) const

◆ RenderToPix()

Pix * tesseract::TrainingSample::RenderToPix ( const UNICHARSET * unicharset ) const

◆ sample_index()

int tesseract::TrainingSample::sample_index ( ) const

inline

◆ Serialize()

bool tesseract::TrainingSample::Serialize ( FILE * fp ) const

◆ set_bounding_box()

void tesseract::TrainingSample::set_bounding_box ( const TBOX & box )

inline

◆ set_class_id()

void tesseract::TrainingSample::set_class_id ( int id )

inline

◆ set_font_id()

void tesseract::TrainingSample::set_font_id ( int id )

inline

◆ set_is_error()

void tesseract::TrainingSample::set_is_error ( bool value )

inline

◆ set_max_dist()

void tesseract::TrainingSample::set_max_dist ( double value )

inline

◆ set_page_num()

void tesseract::TrainingSample::set_page_num ( int page )

inline

◆ set_sample_index()

void tesseract::TrainingSample::set_sample_index ( int value )

inline

◆ set_weight()

void tesseract::TrainingSample::set_weight ( double value )

inline

◆ weight()

double tesseract::TrainingSample::weight ( ) const

inline

Member Data Documentation

◆ bounding_box_

TBOX tesseract::TrainingSample::bounding_box_

private

◆ class_id_

UNICHAR_ID tesseract::TrainingSample::class_id_

private

◆ cn_feature_

float tesseract::TrainingSample::cn_feature_[kNumCNParams]

private

◆ features_

INT_FEATURE_STRUCT* tesseract::TrainingSample::features_

private

◆ features_are_indexed_

bool tesseract::TrainingSample::features_are_indexed_

private

◆ features_are_mapped_

bool tesseract::TrainingSample::features_are_mapped_

private

◆ font_id_

int tesseract::TrainingSample::font_id_

private

◆ geo_feature_

int tesseract::TrainingSample::geo_feature_[GeoCount]

private

◆ is_error_

bool tesseract::TrainingSample::is_error_

private

◆ kScaleValues

const double tesseract::TrainingSample::kScaleValues

staticprivate

Initial value:

= {
    1.0625, 0.9375, 1.0
}

◆ kYShiftValues

const int tesseract::TrainingSample::kYShiftValues

staticprivate

Initial value:

= {
    6, 3, -3, -6, 0
}

◆ mapped_features_

GenericVector<int> tesseract::TrainingSample::mapped_features_

private

◆ max_dist_

double tesseract::TrainingSample::max_dist_

private

◆ micro_features_

MicroFeature* tesseract::TrainingSample::micro_features_

private

◆ num_features_

uint32_t tesseract::TrainingSample::num_features_

private

◆ num_micro_features_

uint32_t tesseract::TrainingSample::num_micro_features_

private

◆ outline_length_

int tesseract::TrainingSample::outline_length_

private

◆ page_num_

int tesseract::TrainingSample::page_num_

private

◆ sample_index_

int tesseract::TrainingSample::sample_index_

private

◆ weight_

double tesseract::TrainingSample::weight_

private

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

/home/stephane/src/tesseract/src/classify/trainingsample.h
/home/stephane/src/tesseract/src/classify/trainingsample.cpp

Public Member Functions

Static Public Member Functions

Private Attributes

Static Private Attributes

Constructor & Destructor Documentation

◆ TrainingSample()

◆ ~TrainingSample()

Member Function Documentation

◆ bounding_box()

◆ class_id()

◆ cn_feature()

◆ Copy()

◆ CopyFromFeatures()

◆ DeSerialize()

◆ DeSerializeCreate()

◆ DisplayFeatures()

◆ ExtractCharDesc()

◆ features()

◆ features_are_mapped()

◆ font_id()

◆ geo_feature()

◆ GetCNFeature()

◆ GetSamplePix()

◆ indexed_features()

◆ IndexFeatures()

◆ is_error()

◆ MapFeatures()

◆ mapped_features()

◆ max_dist()

◆ micro_features()

◆ num_features()

◆ num_micro_features()

◆ outline_length()

◆ page_num()

◆ RandomizedCopy()

◆ RenderToPix()

◆ sample_index()

◆ Serialize()

◆ set_bounding_box()

◆ set_class_id()

◆ set_font_id()

◆ set_is_error()

◆ set_max_dist()

◆ set_page_num()

◆ set_sample_index()

◆ set_weight()

◆ weight()

Member Data Documentation

◆ bounding_box_

◆ class_id_

◆ cn_feature_

◆ features_

◆ features_are_indexed_

◆ features_are_mapped_

◆ font_id_

◆ geo_feature_

◆ is_error_

◆ kScaleValues

◆ kYShiftValues

◆ mapped_features_

◆ max_dist_

◆ micro_features_

◆ num_features_

◆ num_micro_features_

◆ outline_length_

◆ page_num_

◆ sample_index_

◆ weight_