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577 lines
20 KiB
C++
577 lines
20 KiB
C++
///////////////////////////////////////////////////////////////////////
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// File: osdetect.cpp
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// Description: Orientation and script detection.
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// Author: Samuel Charron
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// Ranjith Unnikrishnan
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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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#include "osdetect.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 "fontinfo.h"
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#include "imagefind.h"
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#include "linefind.h"
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#include "oldlist.h"
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#include "qrsequence.h"
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#include "ratngs.h"
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#include "strngs.h"
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#include "tabvector.h"
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#include "tesseractclass.h"
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#include "textord.h"
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const int kMinCharactersToTry = 50;
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const int kMaxCharactersToTry = 5 * kMinCharactersToTry;
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const float kSizeRatioToReject = 2.0;
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const int kMinAcceptableBlobHeight = 10;
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const float kOrientationAcceptRatio = 1.3;
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const float kScriptAcceptRatio = 1.3;
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const float kHanRatioInKorean = 0.7;
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const float kHanRatioInJapanese = 0.3;
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const float kNonAmbiguousMargin = 1.0;
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// General scripts
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static const char* han_script = "Han";
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static const char* latin_script = "Latin";
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static const char* katakana_script = "Katakana";
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static const char* hiragana_script = "Hiragana";
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static const char* hangul_script = "Hangul";
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// Pseudo-scripts Name
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const char* ScriptDetector::korean_script_ = "Korean";
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const char* ScriptDetector::japanese_script_ = "Japanese";
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const char* ScriptDetector::fraktur_script_ = "Fraktur";
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// Minimum believable resolution.
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const int kMinCredibleResolution = 70;
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// Default resolution used if input is not believable.
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const int kDefaultResolution = 300;
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void OSResults::update_best_orientation() {
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float first = orientations[0];
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float second = orientations[1];
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best_result.orientation_id = 0;
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if (orientations[0] < orientations[1]) {
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first = orientations[1];
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second = orientations[0];
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best_result.orientation_id = 1;
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}
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for (int i = 2; i < 4; ++i) {
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if (orientations[i] > first) {
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second = first;
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first = orientations[i];
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best_result.orientation_id = i;
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} else if (orientations[i] > second) {
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second = orientations[i];
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}
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}
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// Store difference of top two orientation scores.
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best_result.oconfidence = first - second;
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}
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void OSResults::set_best_orientation(int orientation_id) {
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best_result.orientation_id = orientation_id;
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best_result.oconfidence = 0;
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}
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void OSResults::update_best_script(int orientation) {
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// We skip index 0 to ignore the "Common" script.
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float first = scripts_na[orientation][1];
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float second = scripts_na[orientation][2];
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best_result.script_id = 1;
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if (scripts_na[orientation][1] < scripts_na[orientation][2]) {
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first = scripts_na[orientation][2];
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second = scripts_na[orientation][1];
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best_result.script_id = 2;
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}
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for (int i = 3; i < kMaxNumberOfScripts; ++i) {
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if (scripts_na[orientation][i] > first) {
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best_result.script_id = i;
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second = first;
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first = scripts_na[orientation][i];
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} else if (scripts_na[orientation][i] > second) {
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second = scripts_na[orientation][i];
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}
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}
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best_result.sconfidence =
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(first / second - 1.0) / (kScriptAcceptRatio - 1.0);
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}
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int OSResults::get_best_script(int orientation_id) const {
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int max_id = -1;
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for (int j = 0; j < kMaxNumberOfScripts; ++j) {
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const char *script = unicharset->get_script_from_script_id(j);
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if (strcmp(script, "Common") && strcmp(script, "NULL")) {
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if (max_id == -1 ||
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scripts_na[orientation_id][j] > scripts_na[orientation_id][max_id])
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max_id = j;
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}
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}
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return max_id;
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}
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// Print the script scores for all possible orientations.
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void OSResults::print_scores(void) const {
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for (int i = 0; i < 4; ++i) {
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tprintf("Orientation id #%d", i);
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print_scores(i);
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}
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}
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// Print the script scores for the given candidate orientation.
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void OSResults::print_scores(int orientation_id) const {
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for (int j = 0; j < kMaxNumberOfScripts; ++j) {
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if (scripts_na[orientation_id][j]) {
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tprintf("%12s\t: %f\n", unicharset->get_script_from_script_id(j),
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scripts_na[orientation_id][j]);
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}
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}
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}
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// Accumulate scores with given OSResults instance and update the best script.
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void OSResults::accumulate(const OSResults& osr) {
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for (int i = 0; i < 4; ++i) {
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orientations[i] += osr.orientations[i];
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for (int j = 0; j < kMaxNumberOfScripts; ++j)
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scripts_na[i][j] += osr.scripts_na[i][j];
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}
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unicharset = osr.unicharset;
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update_best_orientation();
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update_best_script(best_result.orientation_id);
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}
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// Detect and erase horizontal/vertical lines and picture regions from the
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// image, so that non-text blobs are removed from consideration.
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void remove_nontext_regions(tesseract::Tesseract *tess, BLOCK_LIST *blocks,
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TO_BLOCK_LIST *to_blocks) {
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Pix *pix = tess->pix_binary();
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ASSERT_HOST(pix != NULL);
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int vertical_x = 0;
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int vertical_y = 1;
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tesseract::TabVector_LIST v_lines;
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tesseract::TabVector_LIST h_lines;
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const int kMinCredibleResolution = 70;
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int resolution = (kMinCredibleResolution > pixGetXRes(pix)) ?
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kMinCredibleResolution : pixGetXRes(pix);
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tesseract::LineFinder::FindAndRemoveLines(resolution, false, pix,
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&vertical_x, &vertical_y,
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NULL, &v_lines, &h_lines);
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Pix* im_pix = tesseract::ImageFind::FindImages(pix);
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if (im_pix != NULL) {
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pixSubtract(pix, pix, im_pix);
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pixDestroy(&im_pix);
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}
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tess->mutable_textord()->find_components(tess->pix_binary(),
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blocks, to_blocks);
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}
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// Find connected components in the page and process a subset until finished or
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// a stopping criterion is met.
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// Returns the number of blobs used in making the estimate. 0 implies failure.
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int orientation_and_script_detection(STRING& filename,
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OSResults* osr,
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tesseract::Tesseract* tess) {
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STRING name = filename; //truncated name
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const char *lastdot; //of name
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TBOX page_box;
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lastdot = strrchr (name.string (), '.');
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if (lastdot != NULL)
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name[lastdot-name.string()] = '\0';
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ASSERT_HOST(tess->pix_binary() != NULL)
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int width = pixGetWidth(tess->pix_binary());
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int height = pixGetHeight(tess->pix_binary());
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BLOCK_LIST blocks;
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if (!read_unlv_file(name, width, height, &blocks))
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FullPageBlock(width, height, &blocks);
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// Try to remove non-text regions from consideration.
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TO_BLOCK_LIST land_blocks, port_blocks;
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remove_nontext_regions(tess, &blocks, &port_blocks);
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if (port_blocks.empty()) {
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// page segmentation did not succeed, so we need to find_components first.
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tess->mutable_textord()->find_components(tess->pix_binary(),
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&blocks, &port_blocks);
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} else {
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page_box.set_left(0);
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page_box.set_bottom(0);
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page_box.set_right(width);
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page_box.set_top(height);
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// Filter_blobs sets up the TO_BLOCKs the same as find_components does.
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tess->mutable_textord()->filter_blobs(page_box.topright(),
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&port_blocks, true);
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}
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return os_detect(&port_blocks, osr, tess);
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}
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// Filter and sample the blobs.
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// Returns a non-zero number of blobs if the page was successfully processed, or
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// zero if the page had too few characters to be reliable
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int os_detect(TO_BLOCK_LIST* port_blocks, OSResults* osr,
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tesseract::Tesseract* tess) {
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int blobs_total = 0;
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TO_BLOCK_IT block_it;
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block_it.set_to_list(port_blocks);
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BLOBNBOX_CLIST filtered_list;
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BLOBNBOX_C_IT filtered_it(&filtered_list);
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for (block_it.mark_cycle_pt(); !block_it.cycled_list();
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block_it.forward ()) {
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TO_BLOCK* to_block = block_it.data();
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if (to_block->block->poly_block() &&
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!to_block->block->poly_block()->IsText()) continue;
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BLOBNBOX_IT bbox_it;
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bbox_it.set_to_list(&to_block->blobs);
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for (bbox_it.mark_cycle_pt (); !bbox_it.cycled_list ();
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bbox_it.forward ()) {
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BLOBNBOX* bbox = bbox_it.data();
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C_BLOB* blob = bbox->cblob();
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TBOX box = blob->bounding_box();
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++blobs_total;
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float y_x = fabs((box.height() * 1.0) / box.width());
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float x_y = 1.0f / y_x;
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// Select a >= 1.0 ratio
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float ratio = x_y > y_x ? x_y : y_x;
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// Blob is ambiguous
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if (ratio > kSizeRatioToReject) continue;
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if (box.height() < kMinAcceptableBlobHeight) continue;
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filtered_it.add_to_end(bbox);
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}
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}
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return os_detect_blobs(NULL, &filtered_list, osr, tess);
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}
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// Detect orientation and script from a list of blobs.
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// Returns a non-zero number of blobs if the list was successfully processed, or
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// zero if the list had too few characters to be reliable.
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// If allowed_scripts is non-null and non-empty, it is a list of scripts that
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// constrains both orientation and script detection to consider only scripts
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// from the list.
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int os_detect_blobs(const GenericVector<int>* allowed_scripts,
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BLOBNBOX_CLIST* blob_list, OSResults* osr,
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tesseract::Tesseract* tess) {
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OSResults osr_;
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if (osr == NULL)
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osr = &osr_;
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osr->unicharset = &tess->unicharset;
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OrientationDetector o(allowed_scripts, osr);
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ScriptDetector s(allowed_scripts, osr, tess);
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BLOBNBOX_C_IT filtered_it(blob_list);
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int real_max = MIN(filtered_it.length(), kMaxCharactersToTry);
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// tprintf("Total blobs found = %d\n", blobs_total);
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// tprintf("Number of blobs post-filtering = %d\n", filtered_it.length());
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// tprintf("Number of blobs to try = %d\n", real_max);
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// If there are too few characters, skip this page entirely.
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if (real_max < kMinCharactersToTry / 2) {
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tprintf("Too few characters. Skipping this page\n");
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return 0;
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}
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BLOBNBOX** blobs = new BLOBNBOX*[filtered_it.length()];
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int number_of_blobs = 0;
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for (filtered_it.mark_cycle_pt (); !filtered_it.cycled_list ();
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filtered_it.forward ()) {
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blobs[number_of_blobs++] = (BLOBNBOX*)filtered_it.data();
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}
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QRSequenceGenerator sequence(number_of_blobs);
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int num_blobs_evaluated = 0;
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for (int i = 0; i < real_max; ++i) {
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if (os_detect_blob(blobs[sequence.GetVal()], &o, &s, osr, tess)
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&& i > kMinCharactersToTry) {
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break;
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}
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++num_blobs_evaluated;
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}
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delete [] blobs;
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// Make sure the best_result is up-to-date
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int orientation = o.get_orientation();
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osr->update_best_script(orientation);
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return num_blobs_evaluated;
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}
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// Processes a single blob to estimate script and orientation.
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// Return true if estimate of orientation and script satisfies stopping
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// criteria.
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bool os_detect_blob(BLOBNBOX* bbox, OrientationDetector* o,
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ScriptDetector* s, OSResults* osr,
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tesseract::Tesseract* tess) {
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tess->tess_cn_matching.set_value(true); // turn it on
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tess->tess_bn_matching.set_value(false);
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C_BLOB* blob = bbox->cblob();
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TBLOB* tblob = TBLOB::PolygonalCopy(tess->poly_allow_detailed_fx, blob);
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TBOX box = tblob->bounding_box();
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FCOORD current_rotation(1.0f, 0.0f);
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FCOORD rotation90(0.0f, 1.0f);
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BLOB_CHOICE_LIST ratings[4];
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// Test the 4 orientations
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for (int i = 0; i < 4; ++i) {
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// Normalize the blob. Set the origin to the place we want to be the
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// bottom-middle after rotation.
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// Scaling is to make the rotated height the x-height.
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float scaling = static_cast<float>(kBlnXHeight) / box.height();
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float x_origin = (box.left() + box.right()) / 2.0f;
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float y_origin = (box.bottom() + box.top()) / 2.0f;
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if (i == 0 || i == 2) {
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// Rotation is 0 or 180.
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y_origin = i == 0 ? box.bottom() : box.top();
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} else {
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// Rotation is 90 or 270.
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scaling = static_cast<float>(kBlnXHeight) / box.width();
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x_origin = i == 1 ? box.left() : box.right();
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}
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TBLOB* rotated_blob = new TBLOB(*tblob);
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rotated_blob->Normalize(NULL, ¤t_rotation, NULL,
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x_origin, y_origin, scaling, scaling,
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0.0f, static_cast<float>(kBlnBaselineOffset),
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false, NULL);
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tess->AdaptiveClassifier(rotated_blob, ratings + i);
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delete rotated_blob;
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current_rotation.rotate(rotation90);
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}
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delete tblob;
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bool stop = o->detect_blob(ratings);
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s->detect_blob(ratings);
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int orientation = o->get_orientation();
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stop = s->must_stop(orientation) && stop;
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return stop;
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}
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OrientationDetector::OrientationDetector(
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const GenericVector<int>* allowed_scripts, OSResults* osr) {
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osr_ = osr;
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allowed_scripts_ = allowed_scripts;
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}
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// Score the given blob and return true if it is now sure of the orientation
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// after adding this block.
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bool OrientationDetector::detect_blob(BLOB_CHOICE_LIST* scores) {
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float blob_o_score[4] = {0.0f, 0.0f, 0.0f, 0.0f};
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float total_blob_o_score = 0.0f;
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for (int i = 0; i < 4; ++i) {
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BLOB_CHOICE_IT choice_it(scores + i);
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if (!choice_it.empty()) {
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BLOB_CHOICE* choice = NULL;
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if (allowed_scripts_ != NULL && !allowed_scripts_->empty()) {
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// Find the top choice in an allowed script.
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for (choice_it.mark_cycle_pt(); !choice_it.cycled_list() &&
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choice == NULL; choice_it.forward()) {
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int choice_script = choice_it.data()->script_id();
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int s = 0;
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for (s = 0; s < allowed_scripts_->size(); ++s) {
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if ((*allowed_scripts_)[s] == choice_script) {
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choice = choice_it.data();
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break;
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}
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}
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}
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} else {
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choice = choice_it.data();
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}
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if (choice != NULL) {
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// The certainty score ranges between [-20,0]. This is converted here to
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// [0,1], with 1 indicating best match.
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blob_o_score[i] = 1 + 0.05 * choice->certainty();
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total_blob_o_score += blob_o_score[i];
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}
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}
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}
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if (total_blob_o_score == 0.0) return false;
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// Fill in any blanks with the worst score of the others. This is better than
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// picking an arbitrary probability for it and way better than -inf.
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float worst_score = 0.0f;
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int num_good_scores = 0;
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for (int i = 0; i < 4; ++i) {
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if (blob_o_score[i] > 0.0f) {
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++num_good_scores;
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if (worst_score == 0.0f || blob_o_score[i] < worst_score)
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worst_score = blob_o_score[i];
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}
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}
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if (num_good_scores == 1) {
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// Lower worst if there is only one.
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worst_score /= 2.0f;
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}
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for (int i = 0; i < 4; ++i) {
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if (blob_o_score[i] == 0.0f) {
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blob_o_score[i] = worst_score;
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total_blob_o_score += worst_score;
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}
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}
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// Normalize the orientation scores for the blob and use them to
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// update the aggregated orientation score.
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for (int i = 0; total_blob_o_score != 0 && i < 4; ++i) {
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osr_->orientations[i] += log(blob_o_score[i] / total_blob_o_score);
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}
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// TODO(ranjith) Add an early exit test, based on min_orientation_margin,
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// as used in pagesegmain.cpp.
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return false;
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}
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int OrientationDetector::get_orientation() {
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osr_->update_best_orientation();
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return osr_->best_result.orientation_id;
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}
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ScriptDetector::ScriptDetector(const GenericVector<int>* allowed_scripts,
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OSResults* osr, tesseract::Tesseract* tess) {
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osr_ = osr;
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tess_ = tess;
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allowed_scripts_ = allowed_scripts;
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katakana_id_ = tess_->unicharset.add_script(katakana_script);
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hiragana_id_ = tess_->unicharset.add_script(hiragana_script);
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han_id_ = tess_->unicharset.add_script(han_script);
|
|
hangul_id_ = tess_->unicharset.add_script(hangul_script);
|
|
japanese_id_ = tess_->unicharset.add_script(japanese_script_);
|
|
korean_id_ = tess_->unicharset.add_script(korean_script_);
|
|
latin_id_ = tess_->unicharset.add_script(latin_script);
|
|
fraktur_id_ = tess_->unicharset.add_script(fraktur_script_);
|
|
}
|
|
|
|
|
|
// Score the given blob and return true if it is now sure of the script after
|
|
// adding this blob.
|
|
void ScriptDetector::detect_blob(BLOB_CHOICE_LIST* scores) {
|
|
bool done[kMaxNumberOfScripts];
|
|
for (int i = 0; i < 4; ++i) {
|
|
for (int j = 0; j < kMaxNumberOfScripts; ++j)
|
|
done[j] = false;
|
|
|
|
BLOB_CHOICE_IT choice_it;
|
|
choice_it.set_to_list(scores + i);
|
|
|
|
float prev_score = -1;
|
|
int script_count = 0;
|
|
int prev_id = -1;
|
|
int prev_fontinfo_id = -1;
|
|
const char* prev_unichar = "";
|
|
const char* unichar = "";
|
|
|
|
for (choice_it.mark_cycle_pt(); !choice_it.cycled_list();
|
|
choice_it.forward()) {
|
|
BLOB_CHOICE* choice = choice_it.data();
|
|
int id = choice->script_id();
|
|
if (allowed_scripts_ != NULL && !allowed_scripts_->empty()) {
|
|
// Check that the choice is in an allowed script.
|
|
int s = 0;
|
|
for (s = 0; s < allowed_scripts_->size(); ++s) {
|
|
if ((*allowed_scripts_)[s] == id) break;
|
|
}
|
|
if (s == allowed_scripts_->size()) continue; // Not found in list.
|
|
}
|
|
// Script already processed before.
|
|
if (done[id]) continue;
|
|
done[id] = true;
|
|
|
|
unichar = tess_->unicharset.id_to_unichar(choice->unichar_id());
|
|
// Save data from the first match
|
|
if (prev_score < 0) {
|
|
prev_score = -choice->certainty();
|
|
script_count = 1;
|
|
prev_id = id;
|
|
prev_unichar = unichar;
|
|
prev_fontinfo_id = choice->fontinfo_id();
|
|
} else if (-choice->certainty() < prev_score + kNonAmbiguousMargin) {
|
|
++script_count;
|
|
}
|
|
|
|
if (strlen(prev_unichar) == 1)
|
|
if (unichar[0] >= '0' && unichar[0] <= '9')
|
|
break;
|
|
|
|
// if script_count is >= 2, character is ambiguous, skip other matches
|
|
// since they are useless.
|
|
if (script_count >= 2)
|
|
break;
|
|
}
|
|
// Character is non ambiguous
|
|
if (script_count == 1) {
|
|
// Update the score of the winning script
|
|
osr_->scripts_na[i][prev_id] += 1.0;
|
|
|
|
// Workaround for Fraktur
|
|
if (prev_id == latin_id_) {
|
|
if (prev_fontinfo_id >= 0) {
|
|
const tesseract::FontInfo &fi =
|
|
tess_->get_fontinfo_table().get(prev_fontinfo_id);
|
|
//printf("Font: %s i:%i b:%i f:%i s:%i k:%i (%s)\n", fi.name,
|
|
// fi.is_italic(), fi.is_bold(), fi.is_fixed_pitch(),
|
|
// fi.is_serif(), fi.is_fraktur(),
|
|
// prev_unichar);
|
|
if (fi.is_fraktur()) {
|
|
osr_->scripts_na[i][prev_id] -= 1.0;
|
|
osr_->scripts_na[i][fraktur_id_] += 1.0;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Update Japanese / Korean pseudo-scripts
|
|
if (prev_id == katakana_id_)
|
|
osr_->scripts_na[i][japanese_id_] += 1.0;
|
|
if (prev_id == hiragana_id_)
|
|
osr_->scripts_na[i][japanese_id_] += 1.0;
|
|
if (prev_id == hangul_id_)
|
|
osr_->scripts_na[i][korean_id_] += 1.0;
|
|
if (prev_id == han_id_) {
|
|
osr_->scripts_na[i][korean_id_] += kHanRatioInKorean;
|
|
osr_->scripts_na[i][japanese_id_] += kHanRatioInJapanese;
|
|
}
|
|
}
|
|
} // iterate over each orientation
|
|
}
|
|
|
|
bool ScriptDetector::must_stop(int orientation) {
|
|
osr_->update_best_script(orientation);
|
|
return osr_->best_result.sconfidence > 1;
|
|
}
|
|
|
|
// Helper method to convert an orientation index to its value in degrees.
|
|
// The value represents the amount of clockwise rotation in degrees that must be
|
|
// applied for the text to be upright (readable).
|
|
const int OrientationIdToValue(const int& id) {
|
|
switch (id) {
|
|
case 0:
|
|
return 0;
|
|
case 1:
|
|
return 270;
|
|
case 2:
|
|
return 180;
|
|
case 3:
|
|
return 90;
|
|
default:
|
|
return -1;
|
|
}
|
|
}
|