Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/training/lstmeval.cpp @ 46:7ee69f120f19 default tip

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>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
author Franz Glasner <fzglas.hg@dom66.de>
date Sat, 11 Oct 2025 17:17:30 +0200
parents b50eed0cc0ef
children
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: lstmeval.cpp
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3 // Description: Evaluation program for LSTM-based networks.
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4 // Author: Ray Smith
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5 //
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6 // (C) Copyright 2016, Google Inc.
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7 // Licensed under the Apache License, Version 2.0 (the "License");
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8 // you may not use this file except in compliance with the License.
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9 // You may obtain a copy of the License at
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10 // http://www.apache.org/licenses/LICENSE-2.0
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11 // Unless required by applicable law or agreed to in writing, software
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12 // distributed under the License is distributed on an "AS IS" BASIS,
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13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 // See the License for the specific language governing permissions and
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15 // limitations under the License.
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16 ///////////////////////////////////////////////////////////////////////
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17
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18 #include "commontraining.h"
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19 #include "lstmtester.h"
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20 #include "tprintf.h"
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22 using namespace tesseract;
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24 static STRING_PARAM_FLAG(model, "", "Name of model file (training or recognition)");
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25 static STRING_PARAM_FLAG(traineddata, "",
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26 "If model is a training checkpoint, then traineddata must "
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27 "be the traineddata file that was given to the trainer");
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28 static STRING_PARAM_FLAG(eval_listfile, "", "File listing sample files in lstmf training format.");
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29 static INT_PARAM_FLAG(max_image_MB, 2000, "Max memory to use for images.");
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30 static INT_PARAM_FLAG(verbosity, 1, "Amount of diagnosting information to output (0-2).");
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32 int main(int argc, char **argv) {
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33 tesseract::CheckSharedLibraryVersion();
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34 ParseArguments(&argc, &argv);
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35 if (FLAGS_model.empty()) {
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36 tprintf("Must provide a --model!\n");
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37 return EXIT_FAILURE;
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38 }
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39 if (FLAGS_eval_listfile.empty()) {
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40 tprintf("Must provide a --eval_listfile!\n");
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41 return EXIT_FAILURE;
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42 }
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43 tesseract::TessdataManager mgr;
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44 if (!mgr.Init(FLAGS_model.c_str())) {
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45 if (FLAGS_traineddata.empty()) {
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46 tprintf("Must supply --traineddata to eval a training checkpoint!\n");
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47 return EXIT_FAILURE;
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48 }
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49 tprintf("%s is not a recognition model, trying training checkpoint...\n", FLAGS_model.c_str());
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50 if (!mgr.Init(FLAGS_traineddata.c_str())) {
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51 tprintf("Failed to load language model from %s!\n", FLAGS_traineddata.c_str());
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52 return EXIT_FAILURE;
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53 }
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54 std::vector<char> model_data;
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55 if (!tesseract::LoadDataFromFile(FLAGS_model.c_str(), &model_data)) {
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56 tprintf("Failed to load model from: %s\n", FLAGS_model.c_str());
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57 return EXIT_FAILURE;
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58 }
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59 mgr.OverwriteEntry(tesseract::TESSDATA_LSTM, &model_data[0], model_data.size());
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60 }
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61 tesseract::LSTMTester tester(static_cast<int64_t>(FLAGS_max_image_MB) * 1048576);
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62 if (!tester.LoadAllEvalData(FLAGS_eval_listfile.c_str())) {
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63 tprintf("Failed to load eval data from: %s\n", FLAGS_eval_listfile.c_str());
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64 return EXIT_FAILURE;
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65 }
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66 double errs = 0.0;
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67 std::string result = tester.RunEvalSync(0, &errs, mgr,
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68 /*training_stage (irrelevant)*/ 0, FLAGS_verbosity);
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69 tprintf("%s\n", result.c_str());
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70 return EXIT_SUCCESS;
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71 } /* main */