Mercurial > hgrepos > Python2 > PyMuPDF
diff mupdf-source/thirdparty/tesseract/src/training/shapeclustering.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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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/mupdf-source/thirdparty/tesseract/src/training/shapeclustering.cpp Mon Sep 15 11:43:07 2025 +0200 @@ -0,0 +1,70 @@ +// Copyright 2011 Google Inc. All Rights Reserved. +// Author: rays@google.com (Ray Smith) + +// 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. + +// Filename: shapeclustering.cpp +// Purpose: Generates a master shape table to merge similarly-shaped +// training data of whole, partial or multiple characters. +// Author: Ray Smith + +#ifdef HAVE_CONFIG_H +# include "config_auto.h" +#endif + +#include "commontraining.h" +#include "mastertrainer.h" +#include "params.h" + +using namespace tesseract; + +static INT_PARAM_FLAG(display_cloud_font, -1, "Display cloud of this font, canonical_class1"); +static INT_PARAM_FLAG(display_canonical_font, -1, + "Display canonical sample of this font, canonical_class2"); +static STRING_PARAM_FLAG(canonical_class1, "", "Class to show ambigs for"); +static STRING_PARAM_FLAG(canonical_class2, "", "Class to show ambigs for"); + +// Loads training data, if requested displays debug information, otherwise +// creates the master shape table by shape clustering and writes it to a file. +// If FLAGS_display_cloud_font is set, then the cloud features of +// FLAGS_canonical_class1/FLAGS_display_cloud_font are shown in green ON TOP +// OF the red canonical features of FLAGS_canonical_class2/ +// FLAGS_display_canonical_font, so as to show which canonical features are +// NOT in the cloud. +// Otherwise, if FLAGS_canonical_class1 is set, prints a table of font-wise +// cluster distances between FLAGS_canonical_class1 and FLAGS_canonical_class2. +int main(int argc, char **argv) { + tesseract::CheckSharedLibraryVersion(); + + ParseArguments(&argc, &argv); + + std::string file_prefix; + auto trainer = tesseract::LoadTrainingData(argv + 1, false, nullptr, file_prefix); + + if (!trainer) { + return EXIT_FAILURE; + } + + if (FLAGS_display_cloud_font >= 0) { +#ifndef GRAPHICS_DISABLED + trainer->DisplaySamples(FLAGS_canonical_class1.c_str(), FLAGS_display_cloud_font, + FLAGS_canonical_class2.c_str(), FLAGS_display_canonical_font); +#endif // !GRAPHICS_DISABLED + return EXIT_SUCCESS; + } else if (!FLAGS_canonical_class1.empty()) { + trainer->DebugCanonical(FLAGS_canonical_class1.c_str(), FLAGS_canonical_class2.c_str()); + return EXIT_SUCCESS; + } + trainer->SetupMasterShapes(); + WriteShapeTable(file_prefix, trainer->master_shapes()); + + return EXIT_SUCCESS; +} /* main */
