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/******************************************************************************
** Filename: blobclass.c
** Purpose: High level blob classification and training routines.
** Author: Dan Johnson
** History: 7/21/89, DSJ, Created.
**
** (c) Copyright Hewlett-Packard Company, 1988.
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
** http://www.apache.org/licenses/LICENSE-2.0
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
******************************************************************************/
/**----------------------------------------------------------------------------
Include Files and Type Defines
----------------------------------------------------------------------------**/
#include "blobclass.h"
#include "fxdefs.h"
#include "variables.h"
#include "extract.h"
#include "efio.h"
#include "callcpp.h"
#include "chartoname.h"
#include <math.h>
#include <stdio.h>
#include <signal.h>
#define MAXFILENAME 80
#define MAXMATCHES 10
// define default font name to be used in training
#define FONT_NAME "UnknownFont"
/**----------------------------------------------------------------------------
Global Data Definitions and Declarations
----------------------------------------------------------------------------**/
/* name of current image file being processed */
extern char imagefile[];
/* parameters used to control the training process */
static const char *FontName = FONT_NAME;
/**----------------------------------------------------------------------------
Public Code
----------------------------------------------------------------------------**/
/*---------------------------------------------------------------------------*/
void InitBlobClassifierVars() {
/*
** Parameters: none
** Globals:
** FontName name of font being trained on
** Operation: Install blob classifier variables into the wiseowl
** variable system.
** Return: none
** Exceptions: none
** History: Fri Jan 19 16:13:33 1990, DSJ, Created.
*/
VALUE dummy;
string_variable (FontName, "FontName", FONT_NAME);
} /* InitBlobClassifierVars */
/*---------------------------------------------------------------------------*/
void
LearnBlob (TBLOB * Blob, TEXTROW * Row, char BlobText[])
/*
** Parameters:
** Blob blob whose micro-features are to be learned
** Row row of text that blob came from
** BlobText text that corresponds to blob
** TextLength number of characters in blob
** Globals:
** imagefile base filename of the page being learned
** FontName name of font currently being trained on
** Operation:
** Extract micro-features from the specified blob and append
** them to the appropriate file.
** Return: none
** Exceptions: none
** History: 7/28/89, DSJ, Created.
*/
#define MAXFILENAME 80
#define MAXCHARNAME 20
#define MAXFONTNAME 20
#define TRAIN_SUFFIX ".tr"
{
static FILE *FeatureFile = NULL;
char Filename[MAXFILENAME];
CHAR_DESC CharDesc;
LINE_STATS LineStats;
EnterLearnMode;
GetLineStatsFromRow(Row, &LineStats);
CharDesc = ExtractBlobFeatures (Blob, &LineStats);
// if a feature file is not yet open, open it
// the name of the file is the name of the image plus TRAIN_SUFFIX
if (FeatureFile == NULL) {
strcpy(Filename, imagefile);
strcat(Filename, TRAIN_SUFFIX);
FeatureFile = Efopen (Filename, "w");
cprintf ("TRAINING ... Font name = %s.\n", FontName);
}
// label the features with a class name and font name
fprintf (FeatureFile, "\n%s %s ", FontName, BlobText);
// write micro-features to file and clean up
WriteCharDescription(FeatureFile, CharDesc);
FreeCharDescription(CharDesc);
} // LearnBlob
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