Mercurial > hgrepos > Python2 > PyMuPDF
view mupdf-source/thirdparty/tesseract/src/classify/tessclassifier.h @ 31:baeb8bdeff3a
Fortify sources using _FORTIFY_SOURCE=3 and also apply -fno-delete-null-pointer-checks.
See: https://github.com/ossf/wg-best-practices-os-developers/issues/659.
| author | Franz Glasner <fzglas.hg@dom66.de> |
|---|---|
| date | Sun, 21 Sep 2025 13:11:30 +0200 |
| parents | b50eed0cc0ef |
| children |
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// Copyright 2011 Google Inc. All Rights Reserved. // Author: rays@google.com (Ray Smith) /////////////////////////////////////////////////////////////////////// // File: tessclassifier.h // Description: Tesseract implementation of a ShapeClassifier. // Author: Ray Smith // // (C) Copyright 2011, Google Inc. // 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. // /////////////////////////////////////////////////////////////////////// #ifndef THIRD_PARTY_TESSERACT_CLASSIFY_TESSCLASSIFIER_H_ #define THIRD_PARTY_TESSERACT_CLASSIFY_TESSCLASSIFIER_H_ #include "shapeclassifier.h" namespace tesseract { class Classify; class TrainingSample; // Tesseract implementation of a ShapeClassifier. // Due to limitations in the content of TrainingSample, this currently // only works for the static classifier and only works if the ShapeTable // in classify is not nullptr. class TESS_API TessClassifier : public ShapeClassifier { public: TessClassifier(bool pruner_only, tesseract::Classify *classify) : pruner_only_(pruner_only), classify_(classify) {} ~TessClassifier() override = default; // Classifies the given [training] sample, writing to results. // See ShapeClassifier for a full description. int UnicharClassifySample(const TrainingSample &sample, Image page_pix, int debug, UNICHAR_ID keep_this, std::vector<UnicharRating> *results) override; // Provides access to the ShapeTable that this classifier works with. const ShapeTable *GetShapeTable() const override; // Provides access to the UNICHARSET that this classifier works with. // Only needs to be overridden if GetShapeTable() can return nullptr. const UNICHARSET &GetUnicharset() const override; // Displays classification as the given shape_id. Creates as many windows // as it feels fit, using index as a guide for placement. Adds any created // windows to the windows output and returns a new index that may be used // by any subsequent classifiers. Caller waits for the user to view and // then destroys the windows by clearing the vector. int DisplayClassifyAs(const TrainingSample &sample, Image page_pix, int unichar_id, int index, std::vector<ScrollView *> &windows) override; private: // Indicates that this classifier is to use just the ClassPruner, or the // full classifier if false. bool pruner_only_; // Borrowed pointer to the actual Tesseract classifier. tesseract::Classify *classify_; }; } // namespace tesseract #endif /* THIRD_PARTY_TESSERACT_CLASSIFY_TESSCLASSIFIER_H_ */
