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combine_lang_model.cpp
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// Copyright 2017 Google Inc. All Rights Reserved.
// Author: [email protected] (Ray Smith)
// Purpose: Program to generate a traineddata file that can be used to train an
// LSTM-based neural network model from a unicharset and an optional
// set of wordlists. Eliminates the need to run
// set_unicharset_properties, wordlist2dawg, some non-existent binary
// to generate the recoder, and finally combine_tessdata.
// 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 "commandlineflags.h"
#include "commontraining.h" // CheckSharedLibraryVersion
#include "lang_model_helpers.h"
#include "tesserrstream.h" // for tesserr
#include "tprintf.h"
#include "unicharset_training_utils.h"
using namespace tesseract;
static STRING_PARAM_FLAG(input_unicharset, "",
"Filename with unicharset to complete and use in encoding");
static STRING_PARAM_FLAG(script_dir, "", "Directory name for input script unicharsets");
static STRING_PARAM_FLAG(words, "", "File listing words to use for the system dictionary");
static STRING_PARAM_FLAG(puncs, "", "File listing punctuation patterns");
static STRING_PARAM_FLAG(numbers, "", "File listing number patterns");
static STRING_PARAM_FLAG(output_dir, "", "Root directory for output files");
static STRING_PARAM_FLAG(version_str, "", "Version string to add to traineddata file");
static STRING_PARAM_FLAG(lang, "", "Name of language being processed");
static BOOL_PARAM_FLAG(lang_is_rtl, false, "True if lang being processed is written right-to-left");
static BOOL_PARAM_FLAG(pass_through_recoder, false,
"If true, the recoder is a simple pass-through of the "
"unicharset. Otherwise, potentially a compression of it");
int main(int argc, char **argv) {
// Sets properties on the input unicharset file, and writes:
// rootdir/lang/lang.charset_size=ddd.txt
// rootdir/lang/lang.traineddata
// rootdir/lang/lang.unicharset
// If the 3 word lists are provided, the dawgs are also added
// to the traineddata file.
// The output unicharset and charset_size files are just for
// human readability.
tesseract::CheckSharedLibraryVersion();
tesseract::ParseCommandLineFlags(argv[0], &argc, &argv, true);
// If these reads fail, we get a warning message and an empty list of words.
std::vector<std::string> words = split(tesseract::ReadFile(FLAGS_words.c_str()), '\n');
std::vector<std::string> puncs = split(tesseract::ReadFile(FLAGS_puncs.c_str()), '\n');
std::vector<std::string> numbers = split(tesseract::ReadFile(FLAGS_numbers.c_str()), '\n');
// Load the input unicharset
UNICHARSET unicharset;
if (!unicharset.load_from_file(FLAGS_input_unicharset.c_str(), false)) {
tprintf("Failed to load unicharset from %s\n", FLAGS_input_unicharset.c_str());
return EXIT_FAILURE;
}
tesserr << "Loaded unicharset of size " << unicharset.size()
<< " from file " << FLAGS_input_unicharset.c_str() << '\n';
// Set unichar properties
tprintf("Setting unichar properties\n");
tesseract::SetupBasicProperties(/*report_errors*/ true,
/*decompose (NFD)*/ false, &unicharset);
tprintf("Setting script properties\n");
tesseract::SetScriptProperties(FLAGS_script_dir.c_str(), &unicharset);
// Combine everything into a traineddata file.
return tesseract::CombineLangModel(unicharset, FLAGS_script_dir.c_str(),
FLAGS_version_str.c_str(), FLAGS_output_dir.c_str(),
FLAGS_lang.c_str(), FLAGS_pass_through_recoder, words, puncs,
numbers, FLAGS_lang_is_rtl, /*reader*/ nullptr,
/*writer*/ nullptr);
}