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https://github.com/tesseract-ocr/tesseract.git
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16c84ed6ec
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@306 d0cd1f9f-072b-0410-8dd7-cf729c803f20
155 lines
4.2 KiB
C
155 lines
4.2 KiB
C
// Copyright 2008 Google Inc. All Rights Reserved.
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// Author: scharron@google.com (Samuel Charron)
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef TESSERACT_TRAINING_COMMONTRAINING_H__
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#define TESSERACT_TRAINING_COMMONTRAINING_H__
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#include "oldlist.h"
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#include "cluster.h"
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#include "intproto.h"
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//////////////////////////////////////////////////////////////////////////////
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// Macros ////////////////////////////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////
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#define MAXNAMESIZE 80
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#define MINSD_ANGLE (1.0f / 64.0f)
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//////////////////////////////////////////////////////////////////////////////
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// Globals ///////////////////////////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////
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extern BOOL8 ShowSignificantProtos;
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extern BOOL8 ShowInsignificantProtos;
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extern BOOL8 ShowAllSamples;
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// Must be defined in the file that "implements" commonTraining facilities.
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extern CLUSTERCONFIG Config;
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extern FLOAT32 RoundingAccuracy;
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extern char CTFontName[MAXNAMESIZE];
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// globals used for parsing command line arguments
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extern char *Directory;
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extern const char* test_ch;
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extern const char *InputUnicharsetFile;
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extern const char *OutputUnicharsetFile;
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extern const char *InputFontInfoFile;
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// The unicharset used during training
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extern UNICHARSET unicharset_training;
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//////////////////////////////////////////////////////////////////////////////
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// Structs ///////////////////////////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////
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typedef struct
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{
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char *Label;
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int SampleCount;
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LIST List;
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}
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LABELEDLISTNODE, *LABELEDLIST;
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typedef struct
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{
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char* Label;
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int NumMerged[MAX_NUM_PROTOS];
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CLASS_TYPE Class;
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}MERGE_CLASS_NODE;
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typedef MERGE_CLASS_NODE* MERGE_CLASS;
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//////////////////////////////////////////////////////////////////////////////
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// Functions /////////////////////////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////
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void ParseArguments(
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int argc,
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char **argv);
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char *GetNextFilename(int Argc, char** argv);
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LABELEDLIST FindList(
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LIST List,
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char *Label);
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LABELEDLIST NewLabeledList(
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const char *Label);
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void WriteTrainingSamples(
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char *Directory,
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LIST CharList,
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const char *program_feature_type);
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void FreeTrainingSamples(
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LIST CharList);
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void FreeLabeledList(
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LABELEDLIST LabeledList);
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void FreeLabeledClassList(
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LIST ClassListList);
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CLUSTERER *SetUpForClustering(
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LABELEDLIST CharSample,
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const char *program_feature_type);
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LIST RemoveInsignificantProtos(
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LIST ProtoList,
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BOOL8 KeepSigProtos,
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BOOL8 KeepInsigProtos,
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int N);
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void CleanUpUnusedData(
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LIST ProtoList);
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void MergeInsignificantProtos(
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LIST ProtoList,
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const char *label,
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CLUSTERER *Clusterer,
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CLUSTERCONFIG *Config);
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MERGE_CLASS FindClass(
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LIST List,
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char *Label);
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MERGE_CLASS NewLabeledClass(
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char *Label);
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void FreeTrainingSamples(
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LIST CharList);
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void SetUpForFloat2Int(
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LIST LabeledClassList);
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void Normalize(
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float *Values);
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void FreeNormProtoList(
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LIST CharList);
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void AddToNormProtosList(
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LIST* NormProtoList,
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LIST ProtoList,
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char *CharName);
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int NumberOfProtos(
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LIST ProtoList,
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BOOL8 CountSigProtos,
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BOOL8 CountInsigProtos);
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void allocNormProtos();
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#endif // TESSERACT_TRAINING_COMMONTRAINING_H__
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