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https://github.com/tesseract-ocr/tesseract.git
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0e868ef377
Tha, Vie, Kan, Tel etc. There is a new overlap detector that detects when diacritics cause a big increase in textline overlap. In such cases, diacritics from overlap regions are kept separate from layout analysis completely, allowing textline formation to happen without them. The diacritics are then assigned to 0, 1 or 2 close words at the end of layout analysis, using and modifying an old noise detection data path. The stored diacritics are used or not during recognition according to the character classifier's liking for them.
435 lines
17 KiB
C++
435 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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bool single_column = !PSM_COL_FIND_ENABLED(pageseg_mode);
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bool osd_enabled = PSM_OSD_ENABLED(pageseg_mode);
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bool osd_only = pageseg_mode == PSM_OSD_ONLY;
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ColumnFinder* finder = SetupPageSegAndDetectOrientation(
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single_column, osd_enabled, osd_only, blocks, osd_tess, osr,
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&temp_blocks, &photomask_pix, &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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bool single_column, bool osd, bool only_osd,
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BLOCK_LIST* blocks, Tesseract* osd_tess, OSResults* osr,
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TO_BLOCK_LIST* to_blocks, Pix** photo_mask_pix, 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 (single_column)
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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(*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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if (!vertical_text && textord_tabfind_vertical_text) {
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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 (osd && 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 (only_osd) {
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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_blobs.length(), osd_margin, osd_orientation);
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}
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|
}
|
|
}
|
|
osd_blobs.shallow_clear();
|
|
finder->CorrectOrientation(to_block, vertical_text, osd_orientation);
|
|
}
|
|
|
|
return finder;
|
|
}
|
|
|
|
} // namespace tesseract.
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