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500db94849
Format string and arguments did not match. Signed-off-by: Stefan Weil <sw@weilnetz.de>
433 lines
17 KiB
C++
433 lines
17 KiB
C++
/**********************************************************************
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* File: pagesegmain.cpp
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* Description: Top-level page segmenter for Tesseract.
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* Author: Ray Smith
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* Created: Thu Sep 25 17:12:01 PDT 2008
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*
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* (C) Copyright 2008, Google Inc.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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*
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**********************************************************************/
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#ifdef _WIN32
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#ifndef __GNUC__
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#include <windows.h>
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#endif // __GNUC__
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#ifndef unlink
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#include <io.h>
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#endif
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#else
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#include <unistd.h>
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#endif // _WIN32
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#ifdef _MSC_VER
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#pragma warning(disable:4244) // Conversion warnings
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#endif
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// Include automatically generated configuration file if running autoconf.
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#ifdef HAVE_CONFIG_H
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#include "config_auto.h"
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#endif
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#include "allheaders.h"
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#include "blobbox.h"
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#include "blread.h"
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#include "colfind.h"
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#include "equationdetect.h"
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#include "imagefind.h"
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#include "linefind.h"
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#include "makerow.h"
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#include "osdetect.h"
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#include "tabvector.h"
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#include "tesseractclass.h"
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#include "tessvars.h"
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#include "textord.h"
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#include "tordmain.h"
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#include "wordseg.h"
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namespace tesseract {
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/// Minimum believable resolution.
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const int kMinCredibleResolution = 70;
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/// Default resolution used if input in not believable.
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const int kDefaultResolution = 300;
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// Max erosions to perform in removing an enclosing circle.
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const int kMaxCircleErosions = 8;
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// Helper to remove an enclosing circle from an image.
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// If there isn't one, then the image will most likely get badly mangled.
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// The returned pix must be pixDestroyed after use. NULL may be returned
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// if the image doesn't meet the trivial conditions that it uses to determine
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// success.
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static Pix* RemoveEnclosingCircle(Pix* pixs) {
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Pix* pixsi = pixInvert(NULL, pixs);
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Pix* pixc = pixCreateTemplate(pixs);
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pixSetOrClearBorder(pixc, 1, 1, 1, 1, PIX_SET);
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pixSeedfillBinary(pixc, pixc, pixsi, 4);
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pixInvert(pixc, pixc);
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pixDestroy(&pixsi);
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Pix* pixt = pixAnd(NULL, pixs, pixc);
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l_int32 max_count;
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pixCountConnComp(pixt, 8, &max_count);
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// The count has to go up before we start looking for the minimum.
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l_int32 min_count = MAX_INT32;
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Pix* pixout = NULL;
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for (int i = 1; i < kMaxCircleErosions; i++) {
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pixDestroy(&pixt);
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pixErodeBrick(pixc, pixc, 3, 3);
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pixt = pixAnd(NULL, pixs, pixc);
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l_int32 count;
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pixCountConnComp(pixt, 8, &count);
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if (i == 1 || count > max_count) {
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max_count = count;
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min_count = count;
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} else if (i > 1 && count < min_count) {
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min_count = count;
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pixDestroy(&pixout);
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pixout = pixCopy(NULL, pixt); // Save the best.
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} else if (count >= min_count) {
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break; // We have passed by the best.
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}
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}
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pixDestroy(&pixt);
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pixDestroy(&pixc);
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return pixout;
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}
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/**
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* Segment the page according to the current value of tessedit_pageseg_mode.
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* pix_binary_ is used as the source image and should not be NULL.
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* On return the blocks list owns all the constructed page layout.
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*/
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int Tesseract::SegmentPage(const STRING* input_file, BLOCK_LIST* blocks,
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Tesseract* osd_tess, OSResults* osr) {
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ASSERT_HOST(pix_binary_ != NULL);
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int width = pixGetWidth(pix_binary_);
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int height = pixGetHeight(pix_binary_);
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// Get page segmentation mode.
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PageSegMode pageseg_mode = static_cast<PageSegMode>(
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static_cast<int>(tessedit_pageseg_mode));
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// If a UNLV zone file can be found, use that instead of segmentation.
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if (!PSM_COL_FIND_ENABLED(pageseg_mode) &&
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input_file != NULL && input_file->length() > 0) {
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STRING name = *input_file;
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const char* lastdot = strrchr(name.string(), '.');
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if (lastdot != NULL)
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name[lastdot - name.string()] = '\0';
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read_unlv_file(name, width, height, blocks);
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}
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if (blocks->empty()) {
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// No UNLV file present. Work according to the PageSegMode.
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// First make a single block covering the whole image.
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BLOCK_IT block_it(blocks);
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BLOCK* block = new BLOCK("", TRUE, 0, 0, 0, 0, width, height);
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block->set_right_to_left(right_to_left());
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block_it.add_to_end(block);
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} else {
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// UNLV file present. Use PSM_SINGLE_BLOCK.
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pageseg_mode = PSM_SINGLE_BLOCK;
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}
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// The diacritic_blobs holds noise blobs that may be diacritics. They
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// are separated out on areas of the image that seem noisy and short-circuit
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// the layout process, going straight from the initial partition creation
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// right through to after word segmentation, where they are added to the
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// rej_cblobs list of the most appropriate word. From there classification
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// will determine whether they are used.
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BLOBNBOX_LIST diacritic_blobs;
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int auto_page_seg_ret_val = 0;
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TO_BLOCK_LIST to_blocks;
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if (PSM_OSD_ENABLED(pageseg_mode) || PSM_BLOCK_FIND_ENABLED(pageseg_mode) ||
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PSM_SPARSE(pageseg_mode)) {
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auto_page_seg_ret_val = AutoPageSeg(
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pageseg_mode, blocks, &to_blocks,
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enable_noise_removal ? &diacritic_blobs : NULL, osd_tess, osr);
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if (pageseg_mode == PSM_OSD_ONLY)
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return auto_page_seg_ret_val;
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// To create blobs from the image region bounds uncomment this line:
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// to_blocks.clear(); // Uncomment to go back to the old mode.
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} else {
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deskew_ = FCOORD(1.0f, 0.0f);
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reskew_ = FCOORD(1.0f, 0.0f);
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if (pageseg_mode == PSM_CIRCLE_WORD) {
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Pix* pixcleaned = RemoveEnclosingCircle(pix_binary_);
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if (pixcleaned != NULL) {
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pixDestroy(&pix_binary_);
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pix_binary_ = pixcleaned;
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}
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}
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}
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if (auto_page_seg_ret_val < 0) {
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return -1;
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}
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if (blocks->empty()) {
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if (textord_debug_tabfind)
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tprintf("Empty page\n");
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return 0; // AutoPageSeg found an empty page.
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}
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bool splitting =
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pageseg_devanagari_split_strategy != ShiroRekhaSplitter::NO_SPLIT;
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bool cjk_mode = textord_use_cjk_fp_model;
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textord_.TextordPage(pageseg_mode, reskew_, width, height, pix_binary_,
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pix_thresholds_, pix_grey_, splitting || cjk_mode,
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&diacritic_blobs, blocks, &to_blocks);
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return auto_page_seg_ret_val;
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}
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// Helper writes a grey image to a file for use by scrollviewer.
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// Normally for speed we don't display the image in the layout debug windows.
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// If textord_debug_images is true, we draw the image as a background to some
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// of the debug windows. printable determines whether these
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// images are optimized for printing instead of screen display.
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static void WriteDebugBackgroundImage(bool printable, Pix* pix_binary) {
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Pix* grey_pix = pixCreate(pixGetWidth(pix_binary),
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pixGetHeight(pix_binary), 8);
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// Printable images are light grey on white, but for screen display
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// they are black on dark grey so the other colors show up well.
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if (printable) {
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pixSetAll(grey_pix);
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pixSetMasked(grey_pix, pix_binary, 192);
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} else {
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pixSetAllArbitrary(grey_pix, 64);
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pixSetMasked(grey_pix, pix_binary, 0);
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}
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AlignedBlob::IncrementDebugPix();
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pixWrite(AlignedBlob::textord_debug_pix().string(), grey_pix, IFF_PNG);
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pixDestroy(&grey_pix);
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}
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/**
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* Auto page segmentation. Divide the page image into blocks of uniform
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* text linespacing and images.
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*
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* Resolution (in ppi) is derived from the input image.
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*
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* The output goes in the blocks list with corresponding TO_BLOCKs in the
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* to_blocks list.
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*
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* If !PSM_COL_FIND_ENABLED(pageseg_mode), then no attempt is made to divide
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* the image into columns, but multiple blocks are still made if the text is
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* of non-uniform linespacing.
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*
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* If diacritic_blobs is non-null, then diacritics/noise blobs, that would
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* confuse layout anaylsis by causing textline overlap, are placed there,
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* with the expectation that they will be reassigned to words later and
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* noise/diacriticness determined via classification.
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*
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* If osd (orientation and script detection) is true then that is performed
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* as well. If only_osd is true, then only orientation and script detection is
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* performed. If osd is desired, (osd or only_osd) then osr_tess must be
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* another Tesseract that was initialized especially for osd, and the results
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* will be output into osr (orientation and script result).
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*/
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int Tesseract::AutoPageSeg(PageSegMode pageseg_mode, BLOCK_LIST* blocks,
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TO_BLOCK_LIST* to_blocks,
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BLOBNBOX_LIST* diacritic_blobs, Tesseract* osd_tess,
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OSResults* osr) {
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if (textord_debug_images) {
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WriteDebugBackgroundImage(textord_debug_printable, pix_binary_);
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}
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Pix* photomask_pix = NULL;
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Pix* musicmask_pix = NULL;
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// The blocks made by the ColumnFinder. Moved to blocks before return.
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BLOCK_LIST found_blocks;
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TO_BLOCK_LIST temp_blocks;
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ColumnFinder* finder = SetupPageSegAndDetectOrientation(
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pageseg_mode, blocks, osd_tess, osr, &temp_blocks, &photomask_pix,
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&musicmask_pix);
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int result = 0;
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if (finder != NULL) {
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TO_BLOCK_IT to_block_it(&temp_blocks);
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TO_BLOCK* to_block = to_block_it.data();
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if (musicmask_pix != NULL) {
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// TODO(rays) pass the musicmask_pix into FindBlocks and mark music
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// blocks separately. For now combine with photomask_pix.
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pixOr(photomask_pix, photomask_pix, musicmask_pix);
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}
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if (equ_detect_) {
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finder->SetEquationDetect(equ_detect_);
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}
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result = finder->FindBlocks(
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pageseg_mode, scaled_color_, scaled_factor_, to_block, photomask_pix,
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pix_thresholds_, pix_grey_, &found_blocks, diacritic_blobs, to_blocks);
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if (result >= 0)
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finder->GetDeskewVectors(&deskew_, &reskew_);
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delete finder;
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}
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pixDestroy(&photomask_pix);
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pixDestroy(&musicmask_pix);
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if (result < 0) return result;
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blocks->clear();
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BLOCK_IT block_it(blocks);
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// Move the found blocks to the input/output blocks.
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block_it.add_list_after(&found_blocks);
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if (textord_debug_images) {
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// The debug image is no longer needed so delete it.
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unlink(AlignedBlob::textord_debug_pix().string());
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}
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return result;
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}
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// Helper adds all the scripts from sid_set converted to ids from osd_set to
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// allowed_ids.
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static void AddAllScriptsConverted(const UNICHARSET& sid_set,
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const UNICHARSET& osd_set,
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GenericVector<int>* allowed_ids) {
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for (int i = 0; i < sid_set.get_script_table_size(); ++i) {
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if (i != sid_set.null_sid()) {
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const char* script = sid_set.get_script_from_script_id(i);
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allowed_ids->push_back(osd_set.get_script_id_from_name(script));
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}
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}
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}
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/**
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* Sets up auto page segmentation, determines the orientation, and corrects it.
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* Somewhat arbitrary chunk of functionality, factored out of AutoPageSeg to
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* facilitate testing.
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* photo_mask_pix is a pointer to a NULL pointer that will be filled on return
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* with the leptonica photo mask, which must be pixDestroyed by the caller.
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* to_blocks is an empty list that will be filled with (usually a single)
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* block that is used during layout analysis. This ugly API is required
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* because of the possibility of a unlv zone file.
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* TODO(rays) clean this up.
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* See AutoPageSeg for other arguments.
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* The returned ColumnFinder must be deleted after use.
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*/
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ColumnFinder* Tesseract::SetupPageSegAndDetectOrientation(
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PageSegMode pageseg_mode, BLOCK_LIST* blocks, Tesseract* osd_tess,
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OSResults* osr, TO_BLOCK_LIST* to_blocks, Pix** photo_mask_pix,
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Pix** music_mask_pix) {
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int vertical_x = 0;
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int vertical_y = 1;
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TabVector_LIST v_lines;
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TabVector_LIST h_lines;
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ICOORD bleft(0, 0);
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ASSERT_HOST(pix_binary_ != NULL);
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if (tessedit_dump_pageseg_images) {
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pixWrite("tessinput.png", pix_binary_, IFF_PNG);
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}
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// Leptonica is used to find the rule/separator lines in the input.
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LineFinder::FindAndRemoveLines(source_resolution_,
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textord_tabfind_show_vlines, pix_binary_,
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&vertical_x, &vertical_y, music_mask_pix,
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&v_lines, &h_lines);
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if (tessedit_dump_pageseg_images)
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pixWrite("tessnolines.png", pix_binary_, IFF_PNG);
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// Leptonica is used to find a mask of the photo regions in the input.
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*photo_mask_pix = ImageFind::FindImages(pix_binary_);
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if (tessedit_dump_pageseg_images)
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pixWrite("tessnoimages.png", pix_binary_, IFF_PNG);
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if (!PSM_COL_FIND_ENABLED(pageseg_mode)) v_lines.clear();
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// The rest of the algorithm uses the usual connected components.
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textord_.find_components(pix_binary_, blocks, to_blocks);
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TO_BLOCK_IT to_block_it(to_blocks);
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// There must be exactly one input block.
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// TODO(rays) handle new textline finding with a UNLV zone file.
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ASSERT_HOST(to_blocks->singleton());
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TO_BLOCK* to_block = to_block_it.data();
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TBOX blkbox = to_block->block->bounding_box();
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ColumnFinder* finder = NULL;
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if (to_block->line_size >= 2) {
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finder = new ColumnFinder(static_cast<int>(to_block->line_size),
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blkbox.botleft(), blkbox.topright(),
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source_resolution_, textord_use_cjk_fp_model,
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textord_tabfind_aligned_gap_fraction,
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&v_lines, &h_lines, vertical_x, vertical_y);
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finder->SetupAndFilterNoise(pageseg_mode, *photo_mask_pix, to_block);
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if (equ_detect_) {
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equ_detect_->LabelSpecialText(to_block);
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}
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BLOBNBOX_CLIST osd_blobs;
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// osd_orientation is the number of 90 degree rotations to make the
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// characters upright. (See osdetect.h for precise definition.)
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// We want the text lines horizontal, (vertical text indicates vertical
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// textlines) which may conflict (eg vertically written CJK).
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int osd_orientation = 0;
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bool vertical_text = textord_tabfind_force_vertical_text ||
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pageseg_mode == PSM_SINGLE_BLOCK_VERT_TEXT;
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if (!vertical_text && textord_tabfind_vertical_text &&
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PSM_ORIENTATION_ENABLED(pageseg_mode)) {
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vertical_text =
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finder->IsVerticallyAlignedText(textord_tabfind_vertical_text_ratio,
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to_block, &osd_blobs);
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}
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if (PSM_OSD_ENABLED(pageseg_mode) && osd_tess != NULL && osr != NULL) {
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GenericVector<int> osd_scripts;
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if (osd_tess != this) {
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// We are running osd as part of layout analysis, so constrain the
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// scripts to those allowed by *this.
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AddAllScriptsConverted(unicharset, osd_tess->unicharset, &osd_scripts);
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for (int s = 0; s < sub_langs_.size(); ++s) {
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AddAllScriptsConverted(sub_langs_[s]->unicharset,
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osd_tess->unicharset, &osd_scripts);
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}
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}
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os_detect_blobs(&osd_scripts, &osd_blobs, osr, osd_tess);
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if (pageseg_mode == PSM_OSD_ONLY) {
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delete finder;
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return NULL;
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}
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osd_orientation = osr->best_result.orientation_id;
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double osd_score = osr->orientations[osd_orientation];
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double osd_margin = min_orientation_margin * 2;
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for (int i = 0; i < 4; ++i) {
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if (i != osd_orientation &&
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osd_score - osr->orientations[i] < osd_margin) {
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osd_margin = osd_score - osr->orientations[i];
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}
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}
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int best_script_id = osr->best_result.script_id;
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const char* best_script_str =
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osd_tess->unicharset.get_script_from_script_id(best_script_id);
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bool cjk = best_script_id == osd_tess->unicharset.han_sid() ||
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best_script_id == osd_tess->unicharset.hiragana_sid() ||
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best_script_id == osd_tess->unicharset.katakana_sid() ||
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strcmp("Japanese", best_script_str) == 0 ||
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strcmp("Korean", best_script_str) == 0 ||
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strcmp("Hangul", best_script_str) == 0;
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if (cjk) {
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finder->set_cjk_script(true);
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}
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if (osd_margin < min_orientation_margin) {
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// The margin is weak.
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if (!cjk && !vertical_text && osd_orientation == 2) {
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// upside down latin text is improbable with such a weak margin.
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tprintf("OSD: Weak margin (%.2f), horiz textlines, not CJK: "
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"Don't rotate.\n", osd_margin);
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osd_orientation = 0;
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} else {
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tprintf("OSD: Weak margin (%.2f) for %d blob text block, "
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"but using orientation anyway: %d\n",
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osd_margin, osd_blobs.length(), osd_orientation);
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}
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}
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}
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osd_blobs.shallow_clear();
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finder->CorrectOrientation(to_block, vertical_text, osd_orientation);
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}
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return finder;
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}
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} // namespace tesseract.
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