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>
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
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+// 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 */