mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-11-30 23:49:05 +08:00
0998bcf1fc
Signed-off-by: Stefan Weil <sw@weilnetz.de>
190 lines
7.5 KiB
C++
190 lines
7.5 KiB
C++
///////////////////////////////////////////////////////////////////////
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// File: combine_tessdata.cpp
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// Description: Creates a unified traineddata file from several
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// data files produced by the training process.
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// Author: Daria Antonova
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// Created: Wed Jun 03 11:26:43 PST 2009
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//
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// (C) Copyright 2009, Google Inc.
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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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//
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///////////////////////////////////////////////////////////////////////
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#include "commontraining.h" // CheckSharedLibraryVersion
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#include "lstmrecognizer.h"
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#include "tessdatamanager.h"
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// Main program to combine/extract/overwrite tessdata components
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// in [lang].traineddata files.
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//
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// To combine all the individual tessdata components (unicharset, DAWGs,
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// classifier templates, ambiguities, language configs) located at, say,
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// /home/$USER/temp/eng.* run:
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//
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// combine_tessdata /home/$USER/temp/eng.
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//
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// The result will be a combined tessdata file /home/$USER/temp/eng.traineddata
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//
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// Specify option -e if you would like to extract individual components
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// from a combined traineddata file. For example, to extract language config
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// file and the unicharset from tessdata/eng.traineddata run:
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//
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// combine_tessdata -e tessdata/eng.traineddata
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// /home/$USER/temp/eng.config /home/$USER/temp/eng.unicharset
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//
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// The desired config file and unicharset will be written to
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// /home/$USER/temp/eng.config /home/$USER/temp/eng.unicharset
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//
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// Specify option -o to overwrite individual components of the given
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// [lang].traineddata file. For example, to overwrite language config
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// and unichar ambiguities files in tessdata/eng.traineddata use:
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//
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// combine_tessdata -o tessdata/eng.traineddata
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// /home/$USER/temp/eng.config /home/$USER/temp/eng.unicharambigs
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//
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// As a result, tessdata/eng.traineddata will contain the new language config
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// and unichar ambigs, plus all the original DAWGs, classifier teamples, etc.
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//
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// Note: the file names of the files to extract to and to overwrite from should
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// have the appropriate file suffixes (extensions) indicating their tessdata
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// component type (.unicharset for the unicharset, .unicharambigs for unichar
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// ambigs, etc). See k*FileSuffix variable in ccutil/tessdatamanager.h.
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//
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// Specify option -u to unpack all the components to the specified path:
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//
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// combine_tessdata -u tessdata/eng.traineddata /home/$USER/temp/eng.
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//
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// This will create /home/$USER/temp/eng.* files with individual tessdata
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// components from tessdata/eng.traineddata.
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//
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int main(int argc, char **argv) {
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tesseract::CheckSharedLibraryVersion();
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int i;
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tesseract::TessdataManager tm;
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if (argc > 1 && !strcmp(argv[1], "--version")) {
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printf("%s\n", tesseract::TessBaseAPI::Version());
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return 0;
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} else if (argc == 2) {
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printf("Combining tessdata files\n");
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STRING lang = argv[1];
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char* last = &argv[1][strlen(argv[1])-1];
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if (*last != '.')
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lang += '.';
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STRING output_file = lang;
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output_file += kTrainedDataSuffix;
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if (!tm.CombineDataFiles(lang.string(), output_file.string())) {
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printf("Error combining tessdata files into %s\n",
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output_file.string());
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} else {
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printf("Output %s created successfully.\n", output_file.string());
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}
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} else if (argc >= 4 && (strcmp(argv[1], "-e") == 0 ||
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strcmp(argv[1], "-u") == 0)) {
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// Initialize TessdataManager with the data in the given traineddata file.
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if (!tm.Init(argv[2])) {
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tprintf("Failed to read %s\n", argv[2]);
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exit(1);
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}
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printf("Extracting tessdata components from %s\n", argv[2]);
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if (strcmp(argv[1], "-e") == 0) {
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for (i = 3; i < argc; ++i) {
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if (tm.ExtractToFile(argv[i])) {
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printf("Wrote %s\n", argv[i]);
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} else {
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printf("Not extracting %s, since this component"
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" is not present\n", argv[i]);
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}
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}
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} else { // extract all the components
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for (i = 0; i < tesseract::TESSDATA_NUM_ENTRIES; ++i) {
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STRING filename = argv[3];
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char* last = &argv[3][strlen(argv[3])-1];
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if (*last != '.')
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filename += '.';
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filename += tesseract::kTessdataFileSuffixes[i];
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if (tm.ExtractToFile(filename.string())) {
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printf("Wrote %s\n", filename.string());
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}
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}
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}
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} else if (argc >= 4 && strcmp(argv[1], "-o") == 0) {
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// Rename the current traineddata file to a temporary name.
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const char *new_traineddata_filename = argv[2];
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STRING traineddata_filename = new_traineddata_filename;
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traineddata_filename += ".__tmp__";
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if (rename(new_traineddata_filename, traineddata_filename.string()) != 0) {
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tprintf("Failed to create a temporary file %s\n",
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traineddata_filename.string());
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exit(1);
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}
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// Initialize TessdataManager with the data in the given traineddata file.
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tm.Init(traineddata_filename.string());
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// Write the updated traineddata file.
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tm.OverwriteComponents(new_traineddata_filename, argv+3, argc-3);
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} else if (argc == 3 && strcmp(argv[1], "-c") == 0) {
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if (!tm.Init(argv[2])) {
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tprintf("Failed to read %s\n", argv[2]);
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exit(1);
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}
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tesseract::TFile fp;
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if (!tm.GetComponent(tesseract::TESSDATA_LSTM, &fp)) {
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tprintf("No LSTM Component found in %s!\n", argv[2]);
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exit(1);
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}
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tesseract::LSTMRecognizer recognizer;
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if (!recognizer.DeSerialize(&tm, &fp)) {
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tprintf("Failed to deserialize LSTM in %s!\n", argv[2]);
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exit(1);
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}
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recognizer.ConvertToInt();
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GenericVector<char> lstm_data;
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fp.OpenWrite(&lstm_data);
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ASSERT_HOST(recognizer.Serialize(&tm, &fp));
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tm.OverwriteEntry(tesseract::TESSDATA_LSTM, &lstm_data[0],
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lstm_data.size());
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if (!tm.SaveFile(argv[2], nullptr)) {
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tprintf("Failed to write modified traineddata:%s!\n", argv[2]);
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exit(1);
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}
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} else if (argc == 3 && strcmp(argv[1], "-d") == 0) {
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// Initialize TessdataManager with the data in the given traineddata file.
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tm.Init(argv[2]);
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} else {
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printf("Usage for combining tessdata components:\n"
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" %s language_data_path_prefix\n"
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" (e.g. %s tessdata/eng.)\n\n", argv[0], argv[0]);
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printf("Usage for extracting tessdata components:\n"
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" %s -e traineddata_file [output_component_file...]\n"
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" (e.g. %s -e eng.traineddata eng.unicharset)\n\n",
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argv[0], argv[0]);
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printf("Usage for overwriting tessdata components:\n"
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" %s -o traineddata_file [input_component_file...]\n"
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" (e.g. %s -o eng.traineddata eng.unicharset)\n\n",
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argv[0], argv[0]);
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printf("Usage for unpacking all tessdata components:\n"
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" %s -u traineddata_file output_path_prefix\n"
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" (e.g. %s -u eng.traineddata tmp/eng.)\n", argv[0], argv[0]);
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printf(
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"Usage for listing directory of components:\n"
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" %s -d traineddata_file\n",
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argv[0]);
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printf(
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"Usage for compacting LSTM component to int:\n"
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" %s -c traineddata_file\n",
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argv[0]);
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return 1;
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}
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tm.Directory();
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}
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