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normmatch: Remove unused private function

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PrintNormMatch was unused. Remove it and remove also an unused prototype.
Make the only remaining private function NormEvidenceOf static.

Signed-off-by: Stefan Weil <sw@weilnetz.de>
This commit is contained in:
Stefan Weil 2019-05-14 20:56:04 +02:00
parent b9b74a6942
commit caa04882fd
1 changed files with 19 additions and 64 deletions
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83
src/classify/normmatch.cpp
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@ -2,7 +2,6 @@
** Filename: normmatch.c
** Purpose: Simple matcher based on character normalization features.
** Author: Dan Johnson
** History: Wed Dec 19 16:18:06 1990, DSJ, Created.
**
** (c) Copyright Hewlett-Packard Company, 1988.
** Licensed under the Apache License, Version 2.0 (the "License");
@ -40,16 +39,28 @@ struct NORM_PROTOS
};
/*----------------------------------------------------------------------------
Private Function Prototypes
Private Code
----------------------------------------------------------------------------*/
double NormEvidenceOf(double NormAdj);
void PrintNormMatch(FILE *File,
int NumParams,
PROTOTYPE *Proto,
FEATURE Feature);
/**
* @name NormEvidenceOf
*
* Return the new type of evidence number corresponding to this
* normalization adjustment. The equation that represents the transform is:
* 1 / (1 + (NormAdj / midpoint) ^ curl)
*/
static double NormEvidenceOf(double NormAdj) {
NormAdj /= classify_norm_adj_midpoint;
NORM_PROTOS *ReadNormProtos(FILE *File);
if (classify_norm_adj_curl == 3) {
NormAdj = NormAdj * NormAdj * NormAdj;
} else if (classify_norm_adj_curl == 2) {
NormAdj = NormAdj * NormAdj;
} else {
NormAdj = pow(NormAdj, classify_norm_adj_curl);
}
return (1.0 / (1.0 + NormAdj));
}
/*----------------------------------------------------------------------------
Variables
@ -165,62 +176,6 @@ void Classify::FreeNormProtos() {
}
} // namespace tesseract
/*----------------------------------------------------------------------------
Private Code
----------------------------------------------------------------------------*/
/**
* @name NormEvidenceOf
*
* Return the new type of evidence number corresponding to this
* normalization adjustment. The equation that represents the transform is:
* 1 / (1 + (NormAdj / midpoint) ^ curl)
*/
double NormEvidenceOf(double NormAdj) {
NormAdj /= classify_norm_adj_midpoint;
if (classify_norm_adj_curl == 3)
NormAdj = NormAdj * NormAdj * NormAdj;
else if (classify_norm_adj_curl == 2)
NormAdj = NormAdj * NormAdj;
else
NormAdj = pow (NormAdj, classify_norm_adj_curl);
return (1.0 / (1.0 + NormAdj));
}
/*---------------------------------------------------------------------------*/
/**
* This routine dumps out detailed normalization match info.
* @param File open text file to dump match debug info to
* @param NumParams # of parameters in proto and feature
* @param Proto[] array of prototype parameters
* @param Feature[] array of feature parameters
* Globals: none
* @return none
*/
void PrintNormMatch(FILE *File,
int NumParams,
PROTOTYPE *Proto,
FEATURE Feature) {
int i;
float ParamMatch;
float TotalMatch;
for (i = 0, TotalMatch = 0.0; i < NumParams; i++) {
ParamMatch = (Feature->Params[i] - Mean(Proto, i)) /
StandardDeviation(Proto, i);
fprintf (File, " %6.1f", ParamMatch);
if (i == CharNormY || i == CharNormRx)
TotalMatch += ParamMatch * ParamMatch;
}
fprintf (File, " --> %6.1f (%4.2f)\n",
TotalMatch, NormEvidenceOf (TotalMatch));
} /* PrintNormMatch */
/*---------------------------------------------------------------------------*/
namespace tesseract {
/**