tesseract/training/combine_tessdata.cpp
Stefan Weil 0998bcf1fc training: Support new argument --version for remaining executables
Signed-off-by: Stefan Weil <sw@weilnetz.de>
2018-04-16 07:56:55 +02:00

190 lines
7.5 KiB
C++

///////////////////////////////////////////////////////////////////////
// File: combine_tessdata.cpp
// Description: Creates a unified traineddata file from several
// data files produced by the training process.
// Author: Daria Antonova
// Created: Wed Jun 03 11:26:43 PST 2009
//
// (C) Copyright 2009, Google Inc.
// 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 "commontraining.h" // CheckSharedLibraryVersion
#include "lstmrecognizer.h"
#include "tessdatamanager.h"
// Main program to combine/extract/overwrite tessdata components
// in [lang].traineddata files.
//
// To combine all the individual tessdata components (unicharset, DAWGs,
// classifier templates, ambiguities, language configs) located at, say,
// /home/$USER/temp/eng.* run:
//
// combine_tessdata /home/$USER/temp/eng.
//
// The result will be a combined tessdata file /home/$USER/temp/eng.traineddata
//
// Specify option -e if you would like to extract individual components
// from a combined traineddata file. For example, to extract language config
// file and the unicharset from tessdata/eng.traineddata run:
//
// combine_tessdata -e tessdata/eng.traineddata
// /home/$USER/temp/eng.config /home/$USER/temp/eng.unicharset
//
// The desired config file and unicharset will be written to
// /home/$USER/temp/eng.config /home/$USER/temp/eng.unicharset
//
// Specify option -o to overwrite individual components of the given
// [lang].traineddata file. For example, to overwrite language config
// and unichar ambiguities files in tessdata/eng.traineddata use:
//
// combine_tessdata -o tessdata/eng.traineddata
// /home/$USER/temp/eng.config /home/$USER/temp/eng.unicharambigs
//
// As a result, tessdata/eng.traineddata will contain the new language config
// and unichar ambigs, plus all the original DAWGs, classifier teamples, etc.
//
// Note: the file names of the files to extract to and to overwrite from should
// have the appropriate file suffixes (extensions) indicating their tessdata
// component type (.unicharset for the unicharset, .unicharambigs for unichar
// ambigs, etc). See k*FileSuffix variable in ccutil/tessdatamanager.h.
//
// Specify option -u to unpack all the components to the specified path:
//
// combine_tessdata -u tessdata/eng.traineddata /home/$USER/temp/eng.
//
// This will create /home/$USER/temp/eng.* files with individual tessdata
// components from tessdata/eng.traineddata.
//
int main(int argc, char **argv) {
tesseract::CheckSharedLibraryVersion();
int i;
tesseract::TessdataManager tm;
if (argc > 1 && !strcmp(argv[1], "--version")) {
printf("%s\n", tesseract::TessBaseAPI::Version());
return 0;
} else if (argc == 2) {
printf("Combining tessdata files\n");
STRING lang = argv[1];
char* last = &argv[1][strlen(argv[1])-1];
if (*last != '.')
lang += '.';
STRING output_file = lang;
output_file += kTrainedDataSuffix;
if (!tm.CombineDataFiles(lang.string(), output_file.string())) {
printf("Error combining tessdata files into %s\n",
output_file.string());
} else {
printf("Output %s created successfully.\n", output_file.string());
}
} else if (argc >= 4 && (strcmp(argv[1], "-e") == 0 ||
strcmp(argv[1], "-u") == 0)) {
// Initialize TessdataManager with the data in the given traineddata file.
if (!tm.Init(argv[2])) {
tprintf("Failed to read %s\n", argv[2]);
exit(1);
}
printf("Extracting tessdata components from %s\n", argv[2]);
if (strcmp(argv[1], "-e") == 0) {
for (i = 3; i < argc; ++i) {
if (tm.ExtractToFile(argv[i])) {
printf("Wrote %s\n", argv[i]);
} else {
printf("Not extracting %s, since this component"
" is not present\n", argv[i]);
}
}
} else { // extract all the components
for (i = 0; i < tesseract::TESSDATA_NUM_ENTRIES; ++i) {
STRING filename = argv[3];
char* last = &argv[3][strlen(argv[3])-1];
if (*last != '.')
filename += '.';
filename += tesseract::kTessdataFileSuffixes[i];
if (tm.ExtractToFile(filename.string())) {
printf("Wrote %s\n", filename.string());
}
}
}
} else if (argc >= 4 && strcmp(argv[1], "-o") == 0) {
// Rename the current traineddata file to a temporary name.
const char *new_traineddata_filename = argv[2];
STRING traineddata_filename = new_traineddata_filename;
traineddata_filename += ".__tmp__";
if (rename(new_traineddata_filename, traineddata_filename.string()) != 0) {
tprintf("Failed to create a temporary file %s\n",
traineddata_filename.string());
exit(1);
}
// Initialize TessdataManager with the data in the given traineddata file.
tm.Init(traineddata_filename.string());
// Write the updated traineddata file.
tm.OverwriteComponents(new_traineddata_filename, argv+3, argc-3);
} else if (argc == 3 && strcmp(argv[1], "-c") == 0) {
if (!tm.Init(argv[2])) {
tprintf("Failed to read %s\n", argv[2]);
exit(1);
}
tesseract::TFile fp;
if (!tm.GetComponent(tesseract::TESSDATA_LSTM, &fp)) {
tprintf("No LSTM Component found in %s!\n", argv[2]);
exit(1);
}
tesseract::LSTMRecognizer recognizer;
if (!recognizer.DeSerialize(&tm, &fp)) {
tprintf("Failed to deserialize LSTM in %s!\n", argv[2]);
exit(1);
}
recognizer.ConvertToInt();
GenericVector<char> lstm_data;
fp.OpenWrite(&lstm_data);
ASSERT_HOST(recognizer.Serialize(&tm, &fp));
tm.OverwriteEntry(tesseract::TESSDATA_LSTM, &lstm_data[0],
lstm_data.size());
if (!tm.SaveFile(argv[2], nullptr)) {
tprintf("Failed to write modified traineddata:%s!\n", argv[2]);
exit(1);
}
} else if (argc == 3 && strcmp(argv[1], "-d") == 0) {
// Initialize TessdataManager with the data in the given traineddata file.
tm.Init(argv[2]);
} else {
printf("Usage for combining tessdata components:\n"
" %s language_data_path_prefix\n"
" (e.g. %s tessdata/eng.)\n\n", argv[0], argv[0]);
printf("Usage for extracting tessdata components:\n"
" %s -e traineddata_file [output_component_file...]\n"
" (e.g. %s -e eng.traineddata eng.unicharset)\n\n",
argv[0], argv[0]);
printf("Usage for overwriting tessdata components:\n"
" %s -o traineddata_file [input_component_file...]\n"
" (e.g. %s -o eng.traineddata eng.unicharset)\n\n",
argv[0], argv[0]);
printf("Usage for unpacking all tessdata components:\n"
" %s -u traineddata_file output_path_prefix\n"
" (e.g. %s -u eng.traineddata tmp/eng.)\n", argv[0], argv[0]);
printf(
"Usage for listing directory of components:\n"
" %s -d traineddata_file\n",
argv[0]);
printf(
"Usage for compacting LSTM component to int:\n"
" %s -c traineddata_file\n",
argv[0]);
return 1;
}
tm.Directory();
}