Mercurial > hgrepos > Python2 > PyMuPDF
comparison mupdf-source/thirdparty/tesseract/src/ccmain/par_control.cpp @ 2:b50eed0cc0ef upstream
ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
The directory name has changed: no version number in the expanded directory now.
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Mon, 15 Sep 2025 11:43:07 +0200 |
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| 1:1d09e1dec1d9 | 2:b50eed0cc0ef |
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| 1 /////////////////////////////////////////////////////////////////////// | |
| 2 // File: par_control.cpp | |
| 3 // Description: Control code for parallel implementation. | |
| 4 // Author: Ray Smith | |
| 5 // | |
| 6 // (C) Copyright 2013, Google Inc. | |
| 7 // Licensed under the Apache License, Version 2.0 (the "License"); | |
| 8 // you may not use this file except in compliance with the License. | |
| 9 // You may obtain a copy of the License at | |
| 10 // http://www.apache.org/licenses/LICENSE-2.0 | |
| 11 // Unless required by applicable law or agreed to in writing, software | |
| 12 // distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 // See the License for the specific language governing permissions and | |
| 15 // limitations under the License. | |
| 16 // | |
| 17 /////////////////////////////////////////////////////////////////////// | |
| 18 | |
| 19 #include "tesseractclass.h" | |
| 20 #ifdef _OPENMP | |
| 21 # include <omp.h> | |
| 22 #endif // _OPENMP | |
| 23 | |
| 24 namespace tesseract { | |
| 25 | |
| 26 struct BlobData { | |
| 27 BlobData() = default; | |
| 28 BlobData(int index, Tesseract *tess, const WERD_RES &word) | |
| 29 : blob(word.chopped_word->blobs[index]) | |
| 30 , tesseract(tess) | |
| 31 , choices(&(*word.ratings)(index, index)) {} | |
| 32 | |
| 33 TBLOB *blob = nullptr; | |
| 34 Tesseract *tesseract = nullptr; | |
| 35 BLOB_CHOICE_LIST **choices = nullptr; | |
| 36 }; | |
| 37 | |
| 38 void Tesseract::PrerecAllWordsPar(const std::vector<WordData> &words) { | |
| 39 // Prepare all the blobs. | |
| 40 std::vector<BlobData> blobs; | |
| 41 for (const auto &w : words) { | |
| 42 if (w.word->ratings != nullptr && w.word->ratings->get(0, 0) == nullptr) { | |
| 43 for (size_t s = 0; s < w.lang_words.size(); ++s) { | |
| 44 Tesseract *sub = s < sub_langs_.size() ? sub_langs_[s] : this; | |
| 45 const WERD_RES &word = *w.lang_words[s]; | |
| 46 for (unsigned b = 0; b < word.chopped_word->NumBlobs(); ++b) { | |
| 47 blobs.emplace_back(b, sub, word); | |
| 48 } | |
| 49 } | |
| 50 } | |
| 51 } | |
| 52 // Pre-classify all the blobs. | |
| 53 if (tessedit_parallelize > 1) { | |
| 54 #ifdef _OPENMP | |
| 55 # pragma omp parallel for num_threads(10) | |
| 56 #endif // _OPENMP | |
| 57 // NOLINTNEXTLINE(modernize-loop-convert) | |
| 58 for (size_t b = 0; b < blobs.size(); ++b) { | |
| 59 *blobs[b].choices = | |
| 60 blobs[b].tesseract->classify_blob(blobs[b].blob, "par", ScrollView::WHITE, nullptr); | |
| 61 } | |
| 62 } else { | |
| 63 // TODO(AMD) parallelize this. | |
| 64 for (auto &blob : blobs) { | |
| 65 *blob.choices = blob.tesseract->classify_blob(blob.blob, "par", ScrollView::WHITE, nullptr); | |
| 66 } | |
| 67 } | |
| 68 } | |
| 69 | |
| 70 } // namespace tesseract. |
