mirror of
https://github.com/tesseract-ocr/tesseract.git
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241 lines
9.9 KiB
C++
241 lines
9.9 KiB
C++
// Copyright 2017 Google Inc. All Rights Reserved.
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// Author: rays@google.com (Ray Smith)
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// Purpose: Collection of convenience functions to simplify creation of the
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// unicharset, recoder, and dawgs for an LSTM model.
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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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#include "lang_model_helpers.h"
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#if defined(_WIN32)
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#include <direct.h>
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#endif
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#include <sys/stat.h>
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#include <sys/types.h>
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#include <cstdlib>
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#include "dawg.h"
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#include "fileio.h"
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#include "tessdatamanager.h"
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#include "trie.h"
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#include "unicharcompress.h"
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namespace tesseract {
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// Helper makes a filename (<output_dir>/<lang>/<lang><suffix>) and writes data
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// to the file, using writer if not null, otherwise, a default writer.
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// Default writer will overwrite any existing file, but a supplied writer
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// can do its own thing. If lang is empty, returns true but does nothing.
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// NOTE that suffix should contain any required . for the filename.
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bool WriteFile(const string& output_dir, const string& lang,
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const string& suffix, const GenericVector<char>& data,
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FileWriter writer) {
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if (lang.empty()) return true;
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string dirname = output_dir + "/" + lang;
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// Attempt to make the directory, but ignore errors, as it may not be a
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// standard filesystem, and the writer will complain if not successful.
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#if defined(_WIN32)
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_mkdir(dirname.c_str());
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#else
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mkdir(dirname.c_str(), S_IRWXU | S_IRWXG);
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#endif
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string filename = dirname + "/" + lang + suffix;
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if (writer == nullptr)
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return SaveDataToFile(data, filename.c_str());
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else
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return (*writer)(data, filename.c_str());
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}
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// Helper reads a file with optional reader and returns a STRING.
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// On failure emits a warning message and returns and empty STRING.
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STRING ReadFile(const string& filename, FileReader reader) {
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if (filename.empty()) return STRING();
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GenericVector<char> data;
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bool read_result;
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if (reader == nullptr)
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read_result = LoadDataFromFile(filename.c_str(), &data);
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else
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read_result = (*reader)(filename.c_str(), &data);
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if (read_result) return STRING(&data[0], data.size());
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tprintf("Failed to read data from: %s\n", filename.c_str());
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return STRING();
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}
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// Helper writes the unicharset to file and to the traineddata.
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bool WriteUnicharset(const UNICHARSET& unicharset, const string& output_dir,
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const string& lang, FileWriter writer,
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TessdataManager* traineddata) {
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GenericVector<char> unicharset_data;
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TFile fp;
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fp.OpenWrite(&unicharset_data);
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if (!unicharset.save_to_file(&fp)) return false;
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traineddata->OverwriteEntry(TESSDATA_LSTM_UNICHARSET, &unicharset_data[0],
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unicharset_data.size());
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return WriteFile(output_dir, lang, ".unicharset", unicharset_data, writer);
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}
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// Helper creates the recoder and writes it to the traineddata, and a human-
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// readable form to file.
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bool WriteRecoder(const UNICHARSET& unicharset, bool pass_through,
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const string& output_dir, const string& lang,
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FileWriter writer, STRING* radical_table_data,
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TessdataManager* traineddata) {
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UnicharCompress recoder;
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// Where the unicharset is carefully setup already to contain a good
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// compact encoding, use a pass-through recoder that does nothing.
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// For scripts that have a large number of unicodes (Han, Hangul) we want
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// to use the recoder to compress the symbol space by re-encoding each
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// unicode as multiple codes from a smaller 'alphabet' that are related to the
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// shapes in the character. Hangul Jamo is a perfect example of this.
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// See the Hangul Syllables section, sub-section "Equivalence" in:
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// http://www.unicode.org/versions/Unicode10.0.0/ch18.pdf
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if (pass_through) {
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recoder.SetupPassThrough(unicharset);
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} else {
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int null_char =
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unicharset.has_special_codes() ? UNICHAR_BROKEN : unicharset.size();
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tprintf("Null char=%d\n", null_char);
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if (!recoder.ComputeEncoding(unicharset, null_char, radical_table_data)) {
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tprintf("Creation of encoded unicharset failed!!\n");
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return false;
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}
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}
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TFile fp;
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GenericVector<char> recoder_data;
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fp.OpenWrite(&recoder_data);
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if (!recoder.Serialize(&fp)) return false;
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traineddata->OverwriteEntry(TESSDATA_LSTM_RECODER, &recoder_data[0],
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recoder_data.size());
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STRING encoding = recoder.GetEncodingAsString(unicharset);
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recoder_data.init_to_size(encoding.length(), 0);
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memcpy(&recoder_data[0], &encoding[0], encoding.length());
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STRING suffix;
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suffix.add_str_int(".charset_size=", recoder.code_range());
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suffix += ".txt";
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return WriteFile(output_dir, lang, suffix.string(), recoder_data, writer);
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}
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// Helper builds a dawg from the given words, using the unicharset as coding,
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// and reverse_policy for LTR/RTL, and overwrites file_type in the traineddata.
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static bool WriteDawg(const GenericVector<STRING>& words,
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const UNICHARSET& unicharset,
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Trie::RTLReversePolicy reverse_policy,
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TessdataType file_type, TessdataManager* traineddata) {
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// The first 3 arguments are not used in this case.
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Trie trie(DAWG_TYPE_WORD, "", SYSTEM_DAWG_PERM, unicharset.size(), 0);
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trie.add_word_list(words, unicharset, reverse_policy);
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tprintf("Reducing Trie to SquishedDawg\n");
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std::unique_ptr<SquishedDawg> dawg(trie.trie_to_dawg());
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if (dawg == nullptr || dawg->NumEdges() == 0) return false;
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TFile fp;
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GenericVector<char> dawg_data;
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fp.OpenWrite(&dawg_data);
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if (!dawg->write_squished_dawg(&fp)) return false;
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traineddata->OverwriteEntry(file_type, &dawg_data[0], dawg_data.size());
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return true;
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}
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// Builds and writes the dawgs, given a set of words, punctuation
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// patterns, number patterns, to the traineddata. Encoding uses the given
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// unicharset, and the punc dawgs is reversed if lang_is_rtl.
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static bool WriteDawgs(const GenericVector<STRING>& words,
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const GenericVector<STRING>& puncs,
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const GenericVector<STRING>& numbers, bool lang_is_rtl,
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const UNICHARSET& unicharset,
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TessdataManager* traineddata) {
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if (puncs.empty()) {
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tprintf("Must have non-empty puncs list to use language models!!\n");
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return false;
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}
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// For each of the dawg types, make the dawg, and write to traineddata.
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// Dawgs are reversed as follows:
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// Words: According to the word content.
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// Puncs: According to lang_is_rtl.
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// Numbers: Never.
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// System dawg (main wordlist).
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if (!words.empty() &&
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!WriteDawg(words, unicharset, Trie::RRP_REVERSE_IF_HAS_RTL,
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TESSDATA_LSTM_SYSTEM_DAWG, traineddata)) {
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return false;
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}
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// punc/punc-dawg.
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Trie::RTLReversePolicy reverse_policy =
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lang_is_rtl ? Trie::RRP_FORCE_REVERSE : Trie::RRP_DO_NO_REVERSE;
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if (!WriteDawg(puncs, unicharset, reverse_policy, TESSDATA_LSTM_PUNC_DAWG,
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traineddata)) {
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return false;
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}
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// numbers/number-dawg.
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if (!numbers.empty() &&
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!WriteDawg(numbers, unicharset, Trie::RRP_DO_NO_REVERSE,
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TESSDATA_LSTM_NUMBER_DAWG, traineddata)) {
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return false;
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}
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return true;
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}
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// The main function for combine_lang_model.cpp.
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// Returns EXIT_SUCCESS or EXIT_FAILURE for error.
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int CombineLangModel(const UNICHARSET& unicharset, const string& script_dir,
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const string& version_str, const string& output_dir,
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const string& lang, bool pass_through_recoder,
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const GenericVector<STRING>& words,
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const GenericVector<STRING>& puncs,
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const GenericVector<STRING>& numbers, bool lang_is_rtl,
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FileReader reader, FileWriter writer) {
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// Build the traineddata file.
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TessdataManager traineddata;
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if (!version_str.empty()) {
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traineddata.SetVersionString(traineddata.VersionString() + ":" +
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version_str);
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}
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// Unicharset and recoder.
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if (!WriteUnicharset(unicharset, output_dir, lang, writer, &traineddata)) {
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tprintf("Error writing unicharset!!\n");
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return EXIT_FAILURE;
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} else {
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tprintf("Config file is optional, continuing...\n");
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}
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// If there is a config file, read it and add to traineddata.
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string config_filename = script_dir + "/" + lang + "/" + lang + ".config";
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STRING config_file = ReadFile(config_filename, reader);
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if (config_file.length() > 0) {
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traineddata.OverwriteEntry(TESSDATA_LANG_CONFIG, &config_file[0],
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config_file.length());
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}
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string radical_filename = script_dir + "/radical-stroke.txt";
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STRING radical_data = ReadFile(radical_filename, reader);
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if (radical_data.length() == 0) {
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tprintf("Error reading radical code table %s\n", radical_filename.c_str());
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return EXIT_FAILURE;
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}
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if (!WriteRecoder(unicharset, pass_through_recoder, output_dir, lang, writer,
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&radical_data, &traineddata)) {
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tprintf("Error writing recoder!!\n");
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}
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if (!words.empty() || !puncs.empty() || !numbers.empty()) {
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if (!WriteDawgs(words, puncs, numbers, lang_is_rtl, unicharset,
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&traineddata)) {
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tprintf("Error during conversion of wordlists to DAWGs!!\n");
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return EXIT_FAILURE;
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}
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}
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// Traineddata file.
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GenericVector<char> traineddata_data;
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traineddata.Serialize(&traineddata_data);
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if (!WriteFile(output_dir, lang, ".traineddata", traineddata_data, writer)) {
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tprintf("Error writing output traineddata file!!\n");
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return EXIT_FAILURE;
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}
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return EXIT_SUCCESS;
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}
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} // namespace tesseract
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