mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-12-05 10:49:01 +08:00
280 lines
9.5 KiB
C++
280 lines
9.5 KiB
C++
/******************************************************************************
|
|
** Filename: cntraining.cpp
|
|
** Purpose: Generates a normproto and pffmtable.
|
|
** Author: Dan Johnson
|
|
** Revisment: Christy Russon
|
|
** History: Fri Aug 18 08:53:50 1989, DSJ, Created.
|
|
** 5/25/90, DSJ, Adapted to multiple feature types.
|
|
** Tuesday, May 17, 1998 Changes made to make feature specific and
|
|
** simplify structures. First step in simplifying training process.
|
|
**
|
|
** (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 "oldlist.h"
|
|
#include "efio.h"
|
|
#include "emalloc.h"
|
|
#include "featdefs.h"
|
|
#include "tessopt.h"
|
|
#include "ocrfeatures.h"
|
|
#include "clusttool.h"
|
|
#include "cluster.h"
|
|
#include <string.h>
|
|
#include <stdio.h>
|
|
#include <math.h>
|
|
#include "unichar.h"
|
|
#include "commontraining.h"
|
|
|
|
#define PROGRAM_FEATURE_TYPE "cn"
|
|
|
|
DECLARE_STRING_PARAM_FLAG(D);
|
|
|
|
/*----------------------------------------------------------------------------
|
|
Public Function Prototypes
|
|
----------------------------------------------------------------------------*/
|
|
int main (
|
|
int argc,
|
|
char **argv);
|
|
|
|
/*----------------------------------------------------------------------------
|
|
Private Function Prototypes
|
|
----------------------------------------------------------------------------*/
|
|
|
|
void WriteNormProtos(const char *Directory, LIST LabeledProtoList,
|
|
const FEATURE_DESC_STRUCT *feature_desc);
|
|
|
|
/*
|
|
PARAMDESC *ConvertToPARAMDESC(
|
|
PARAM_DESC* Param_Desc,
|
|
int N);
|
|
*/
|
|
|
|
void WriteProtos(
|
|
FILE *File,
|
|
uinT16 N,
|
|
LIST ProtoList,
|
|
BOOL8 WriteSigProtos,
|
|
BOOL8 WriteInsigProtos);
|
|
|
|
/*----------------------------------------------------------------------------
|
|
Global Data Definitions and Declarations
|
|
----------------------------------------------------------------------------*/
|
|
/* global variable to hold configuration parameters to control clustering */
|
|
//-M 0.025 -B 0.05 -I 0.8 -C 1e-3
|
|
CLUSTERCONFIG CNConfig =
|
|
{
|
|
elliptical, 0.025, 0.05, 0.8, 1e-3, 0
|
|
};
|
|
|
|
/*----------------------------------------------------------------------------
|
|
Public Code
|
|
----------------------------------------------------------------------------*/
|
|
/*---------------------------------------------------------------------------*/
|
|
/**
|
|
* This program reads in a text file consisting of feature
|
|
* samples from a training page in the following format:
|
|
* @verbatim
|
|
FontName CharName NumberOfFeatureTypes(N)
|
|
FeatureTypeName1 NumberOfFeatures(M)
|
|
Feature1
|
|
...
|
|
FeatureM
|
|
FeatureTypeName2 NumberOfFeatures(M)
|
|
Feature1
|
|
...
|
|
FeatureM
|
|
...
|
|
FeatureTypeNameN NumberOfFeatures(M)
|
|
Feature1
|
|
...
|
|
FeatureM
|
|
FontName CharName ...
|
|
@endverbatim
|
|
* It then appends these samples into a separate file for each
|
|
* character. The name of the file is
|
|
*
|
|
* DirectoryName/FontName/CharName.FeatureTypeName
|
|
*
|
|
* The DirectoryName can be specified via a command
|
|
* line argument. If not specified, it defaults to the
|
|
* current directory. The format of the resulting files is:
|
|
* @verbatim
|
|
NumberOfFeatures(M)
|
|
Feature1
|
|
...
|
|
FeatureM
|
|
NumberOfFeatures(M)
|
|
...
|
|
@endverbatim
|
|
* The output files each have a header which describes the
|
|
* type of feature which the file contains. This header is
|
|
* in the format required by the clusterer. A command line
|
|
* argument can also be used to specify that only the first
|
|
* N samples of each class should be used.
|
|
* @param argc number of command line arguments
|
|
* @param argv array of command line arguments
|
|
* @return none
|
|
* @note Globals: none
|
|
* @note Exceptions: none
|
|
* @note History: Fri Aug 18 08:56:17 1989, DSJ, Created.
|
|
*/
|
|
int main(int argc, char *argv[]) {
|
|
// Set the global Config parameters before parsing the command line.
|
|
Config = CNConfig;
|
|
|
|
const char *PageName;
|
|
FILE *TrainingPage;
|
|
LIST CharList = NIL_LIST;
|
|
CLUSTERER *Clusterer = nullptr;
|
|
LIST ProtoList = NIL_LIST;
|
|
LIST NormProtoList = NIL_LIST;
|
|
LIST pCharList;
|
|
LABELEDLIST CharSample;
|
|
FEATURE_DEFS_STRUCT FeatureDefs;
|
|
InitFeatureDefs(&FeatureDefs);
|
|
|
|
ParseArguments(&argc, &argv);
|
|
int num_fonts = 0;
|
|
while ((PageName = GetNextFilename(argc, argv)) != nullptr) {
|
|
printf("Reading %s ...\n", PageName);
|
|
TrainingPage = Efopen(PageName, "rb");
|
|
ReadTrainingSamples(FeatureDefs, PROGRAM_FEATURE_TYPE, 100, nullptr,
|
|
TrainingPage, &CharList);
|
|
fclose(TrainingPage);
|
|
++num_fonts;
|
|
}
|
|
printf("Clustering ...\n");
|
|
// To allow an individual font to form a separate cluster,
|
|
// reduce the min samples:
|
|
// Config.MinSamples = 0.5 / num_fonts;
|
|
pCharList = CharList;
|
|
// The norm protos will count the source protos, so we keep them here in
|
|
// freeable_protos, so they can be freed later.
|
|
GenericVector<LIST> freeable_protos;
|
|
iterate(pCharList) {
|
|
//Cluster
|
|
CharSample = (LABELEDLIST)first_node(pCharList);
|
|
Clusterer =
|
|
SetUpForClustering(FeatureDefs, CharSample, PROGRAM_FEATURE_TYPE);
|
|
if (Clusterer == nullptr) { // To avoid a SIGSEGV
|
|
fprintf(stderr, "Error: NULL clusterer!\n");
|
|
return 1;
|
|
}
|
|
float SavedMinSamples = Config.MinSamples;
|
|
// To disable the tendency to produce a single cluster for all fonts,
|
|
// make MagicSamples an impossible to achieve number:
|
|
// Config.MagicSamples = CharSample->SampleCount * 10;
|
|
Config.MagicSamples = CharSample->SampleCount;
|
|
while (Config.MinSamples > 0.001) {
|
|
ProtoList = ClusterSamples(Clusterer, &Config);
|
|
if (NumberOfProtos(ProtoList, 1, 0) > 0) {
|
|
break;
|
|
} else {
|
|
Config.MinSamples *= 0.95;
|
|
printf("0 significant protos for %s."
|
|
" Retrying clustering with MinSamples = %f%%\n",
|
|
CharSample->Label, Config.MinSamples);
|
|
}
|
|
}
|
|
Config.MinSamples = SavedMinSamples;
|
|
AddToNormProtosList(&NormProtoList, ProtoList, CharSample->Label);
|
|
freeable_protos.push_back(ProtoList);
|
|
FreeClusterer(Clusterer);
|
|
}
|
|
FreeTrainingSamples(CharList);
|
|
int desc_index = ShortNameToFeatureType(FeatureDefs, PROGRAM_FEATURE_TYPE);
|
|
WriteNormProtos(FLAGS_D.c_str(), NormProtoList,
|
|
FeatureDefs.FeatureDesc[desc_index]);
|
|
FreeNormProtoList(NormProtoList);
|
|
for (int i = 0; i < freeable_protos.size(); ++i) {
|
|
FreeProtoList(&freeable_protos[i]);
|
|
}
|
|
printf ("\n");
|
|
return 0;
|
|
} // main
|
|
|
|
/*----------------------------------------------------------------------------
|
|
Private Code
|
|
----------------------------------------------------------------------------*/
|
|
|
|
/*----------------------------------------------------------------------------*/
|
|
/**
|
|
* This routine writes the specified samples into files which
|
|
* are organized according to the font name and character name
|
|
* of the samples.
|
|
* @param Directory directory to place sample files into
|
|
* @param LabeledProtoList List of labeled protos
|
|
* @param feature_desc Description of the features
|
|
* @return none
|
|
* @note Exceptions: none
|
|
* @note History: Fri Aug 18 16:17:06 1989, DSJ, Created.
|
|
*/
|
|
void WriteNormProtos(const char *Directory, LIST LabeledProtoList,
|
|
const FEATURE_DESC_STRUCT *feature_desc) {
|
|
FILE *File;
|
|
STRING Filename;
|
|
LABELEDLIST LabeledProto;
|
|
int N;
|
|
|
|
Filename = "";
|
|
if (Directory != nullptr && Directory[0] != '\0') {
|
|
Filename += Directory;
|
|
Filename += "/";
|
|
}
|
|
Filename += "normproto";
|
|
printf ("\nWriting %s ...", Filename.string());
|
|
File = Efopen (Filename.string(), "wb");
|
|
fprintf(File, "%0d\n", feature_desc->NumParams);
|
|
WriteParamDesc(File, feature_desc->NumParams, feature_desc->ParamDesc);
|
|
iterate(LabeledProtoList)
|
|
{
|
|
LabeledProto = (LABELEDLIST) first_node (LabeledProtoList);
|
|
N = NumberOfProtos(LabeledProto->List, true, false);
|
|
if (N < 1) {
|
|
printf ("\nError! Not enough protos for %s: %d protos"
|
|
" (%d significant protos"
|
|
", %d insignificant protos)\n",
|
|
LabeledProto->Label, N,
|
|
NumberOfProtos(LabeledProto->List, 1, 0),
|
|
NumberOfProtos(LabeledProto->List, 0, 1));
|
|
exit(1);
|
|
}
|
|
fprintf(File, "\n%s %d\n", LabeledProto->Label, N);
|
|
WriteProtos(File, feature_desc->NumParams, LabeledProto->List, true, false);
|
|
}
|
|
fclose (File);
|
|
|
|
} // WriteNormProtos
|
|
|
|
/*-------------------------------------------------------------------------*/
|
|
void WriteProtos(
|
|
FILE *File,
|
|
uinT16 N,
|
|
LIST ProtoList,
|
|
BOOL8 WriteSigProtos,
|
|
BOOL8 WriteInsigProtos)
|
|
{
|
|
PROTOTYPE *Proto;
|
|
|
|
// write prototypes
|
|
iterate(ProtoList)
|
|
{
|
|
Proto = (PROTOTYPE *) first_node ( ProtoList );
|
|
if (( Proto->Significant && WriteSigProtos ) ||
|
|
( ! Proto->Significant && WriteInsigProtos ) )
|
|
WritePrototype( File, N, Proto );
|
|
}
|
|
} // WriteProtos
|