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baseapi.cpp
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baseapi.cpp
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/**********************************************************************
* File: baseapi.cpp
* Description: Simple API for calling tesseract.
* Author: Ray Smith
*
* (C) Copyright 2006, Google Inc.
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
** http://www.apache.org/licenses/LICENSE-2.0
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
*
**********************************************************************/
#define _USE_MATH_DEFINES // for M_PI
// Include automatically generated configuration file if running autoconf.
#ifdef HAVE_CONFIG_H
# include "config_auto.h"
#endif
#include "boxword.h" // for BoxWord
#include "coutln.h" // for C_OUTLINE_IT, C_OUTLINE_LIST
#include "dawg_cache.h" // for DawgCache
#include "dict.h" // for Dict
#include "elst.h" // for ELIST_ITERATOR, ELISTIZE, ELISTIZEH
#include "environ.h" // for l_uint8
#ifndef DISABLED_LEGACY_ENGINE
#include "equationdetect.h" // for EquationDetect, destructor of equ_detect_
#endif // ndef DISABLED_LEGACY_ENGINE
#include "errcode.h" // for ASSERT_HOST
#include "helpers.h" // for IntCastRounded, chomp_string, copy_string
#include "host.h" // for MAX_PATH
#include "imageio.h" // for IFF_TIFF_G4, IFF_TIFF, IFF_TIFF_G3, ...
#ifndef DISABLED_LEGACY_ENGINE
# include "intfx.h" // for INT_FX_RESULT_STRUCT
#endif
#include "mutableiterator.h" // for MutableIterator
#include "normalis.h" // for kBlnBaselineOffset, kBlnXHeight
#include "pageres.h" // for PAGE_RES_IT, WERD_RES, PAGE_RES, CR_DE...
#include "paragraphs.h" // for DetectParagraphs
#include "params.h" // for BoolParam, IntParam, DoubleParam, Stri...
#include "pdblock.h" // for PDBLK
#include "points.h" // for FCOORD
#include "polyblk.h" // for POLY_BLOCK
#include "rect.h" // for TBOX
#include "stepblob.h" // for C_BLOB_IT, C_BLOB, C_BLOB_LIST
#include "tessdatamanager.h" // for TessdataManager, kTrainedDataSuffix
#include "tesseractclass.h" // for Tesseract
#include "tprintf.h" // for tprintf
#include "werd.h" // for WERD, WERD_IT, W_FUZZY_NON, W_FUZZY_SP
#include "thresholder.h" // for ImageThresholder
#include <tesseract/baseapi.h>
#include <tesseract/ocrclass.h> // for ETEXT_DESC
#include <tesseract/osdetect.h> // for OSResults, OSBestResult, OrientationId...
#include <tesseract/renderer.h> // for TessResultRenderer
#include <tesseract/resultiterator.h> // for ResultIterator
#include <cmath> // for round, M_PI
#include <cstdint> // for int32_t
#include <cstring> // for strcmp, strcpy
#include <filesystem> // for std::filesystem
#include <fstream> // for size_t
#include <iostream> // for std::cin
#include <locale> // for std::locale::classic
#include <memory> // for std::unique_ptr
#include <set> // for std::pair
#include <sstream> // for std::stringstream
#include <vector> // for std::vector
#include <allheaders.h> // for pixDestroy, boxCreate, boxaAddBox, box...
#ifdef HAVE_LIBCURL
# include <curl/curl.h>
#endif
#ifdef __linux__
# include <csignal> // for sigaction, SA_RESETHAND, SIGBUS, SIGFPE
#endif
#if defined(_WIN32)
# include <fcntl.h> // for _O_BINARY
# include <io.h> // for _setmode
#endif
namespace tesseract {
static BOOL_VAR(stream_filelist, false, "Stream a filelist from stdin");
static STRING_VAR(document_title, "", "Title of output document (used for hOCR and PDF output)");
#ifdef HAVE_LIBCURL
static INT_VAR(curl_timeout, 0, "Timeout for curl in seconds");
static STRING_VAR(curl_cookiefile, "", "File with cookie data for curl");
#endif
/** Minimum sensible image size to be worth running Tesseract. */
const int kMinRectSize = 10;
/** Character returned when Tesseract couldn't recognize as anything. */
const char kTesseractReject = '~';
/** Character used by UNLV error counter as a reject. */
const char kUNLVReject = '~';
/** Character used by UNLV as a suspect marker. */
const char kUNLVSuspect = '^';
/**
* Temp file used for storing current parameters before applying retry values.
*/
static const char *kOldVarsFile = "failed_vars.txt";
#ifndef DISABLED_LEGACY_ENGINE
/**
* Filename used for input image file, from which to derive a name to search
* for a possible UNLV zone file, if none is specified by SetInputName.
*/
static const char *kInputFile = "noname.tif";
static const char kUnknownFontName[] = "UnknownFont";
static STRING_VAR(classify_font_name, kUnknownFontName,
"Default font name to be used in training");
// Finds the name of the training font and returns it in fontname, by cutting
// it out based on the expectation that the filename is of the form:
// /path/to/dir/[lang].[fontname].exp[num]
// The [lang], [fontname] and [num] fields should not have '.' characters.
// If the global parameter classify_font_name is set, its value is used instead.
static void ExtractFontName(const char* filename, std::string* fontname) {
*fontname = classify_font_name;
if (*fontname == kUnknownFontName) {
// filename is expected to be of the form [lang].[fontname].exp[num]
// The [lang], [fontname] and [num] fields should not have '.' characters.
const char *basename = strrchr(filename, '/');
const char *firstdot = strchr(basename ? basename : filename, '.');
const char *lastdot = strrchr(filename, '.');
if (firstdot != lastdot && firstdot != nullptr && lastdot != nullptr) {
++firstdot;
*fontname = firstdot;
fontname->resize(lastdot - firstdot);
}
}
}
#endif
/* Add all available languages recursively.
*/
static void addAvailableLanguages(const std::string &datadir,
std::vector<std::string> *langs) {
for (const auto& entry :
std::filesystem::recursive_directory_iterator(datadir,
std::filesystem::directory_options::follow_directory_symlink |
std::filesystem::directory_options::skip_permission_denied)) {
auto path = entry.path().lexically_relative(datadir).string();
auto extPos = path.rfind(".traineddata");
if (extPos != std::string::npos) {
langs->push_back(path.substr(0, extPos));
}
}
}
TessBaseAPI::TessBaseAPI()
: tesseract_(nullptr)
, osd_tesseract_(nullptr)
, equ_detect_(nullptr)
, reader_(nullptr)
,
// thresholder_ is initialized to nullptr here, but will be set before use
// by: A constructor of a derived API or created
// implicitly when used in InternalSetImage.
thresholder_(nullptr)
, paragraph_models_(nullptr)
, block_list_(nullptr)
, page_res_(nullptr)
, last_oem_requested_(OEM_DEFAULT)
, recognition_done_(false)
, rect_left_(0)
, rect_top_(0)
, rect_width_(0)
, rect_height_(0)
, image_width_(0)
, image_height_(0) {
}
TessBaseAPI::~TessBaseAPI() {
End();
}
/**
* Returns the version identifier as a static string. Do not delete.
*/
const char *TessBaseAPI::Version() {
return TESSERACT_VERSION_STR;
}
/**
* Set the name of the input file. Needed only for training and
* loading a UNLV zone file.
*/
void TessBaseAPI::SetInputName(const char *name) {
input_file_ = name ? name : "";
}
/** Set the name of the output files. Needed only for debugging. */
void TessBaseAPI::SetOutputName(const char *name) {
output_file_ = name ? name : "";
}
bool TessBaseAPI::SetVariable(const char *name, const char *value) {
if (tesseract_ == nullptr) {
tesseract_ = new Tesseract;
}
return ParamUtils::SetParam(name, value, SET_PARAM_CONSTRAINT_NON_INIT_ONLY,
tesseract_->params());
}
bool TessBaseAPI::SetDebugVariable(const char *name, const char *value) {
if (tesseract_ == nullptr) {
tesseract_ = new Tesseract;
}
return ParamUtils::SetParam(name, value, SET_PARAM_CONSTRAINT_DEBUG_ONLY, tesseract_->params());
}
bool TessBaseAPI::GetIntVariable(const char *name, int *value) const {
auto *p = ParamUtils::FindParam<IntParam>(name, GlobalParams()->int_params,
tesseract_->params()->int_params);
if (p == nullptr) {
return false;
}
*value = (int32_t)(*p);
return true;
}
bool TessBaseAPI::GetBoolVariable(const char *name, bool *value) const {
auto *p = ParamUtils::FindParam<BoolParam>(name, GlobalParams()->bool_params,
tesseract_->params()->bool_params);
if (p == nullptr) {
return false;
}
*value = bool(*p);
return true;
}
const char *TessBaseAPI::GetStringVariable(const char *name) const {
auto *p = ParamUtils::FindParam<StringParam>(name, GlobalParams()->string_params,
tesseract_->params()->string_params);
return (p != nullptr) ? p->c_str() : nullptr;
}
bool TessBaseAPI::GetDoubleVariable(const char *name, double *value) const {
auto *p = ParamUtils::FindParam<DoubleParam>(name, GlobalParams()->double_params,
tesseract_->params()->double_params);
if (p == nullptr) {
return false;
}
*value = (double)(*p);
return true;
}
/** Get value of named variable as a string, if it exists. */
bool TessBaseAPI::GetVariableAsString(const char *name, std::string *val) const {
return ParamUtils::GetParamAsString(name, tesseract_->params(), val);
}
#ifndef DISABLED_LEGACY_ENGINE
/** Print Tesseract fonts table to the given file. */
void TessBaseAPI::PrintFontsTable(FILE *fp) const {
const int fontinfo_size = tesseract_->get_fontinfo_table().size();
for (int font_index = 1; font_index < fontinfo_size; ++font_index) {
FontInfo font = tesseract_->get_fontinfo_table().at(font_index);
fprintf(fp, "ID=%3d: %s is_italic=%s is_bold=%s"
" is_fixed_pitch=%s is_serif=%s is_fraktur=%s\n",
font_index, font.name,
font.is_italic() ? "true" : "false",
font.is_bold() ? "true" : "false",
font.is_fixed_pitch() ? "true" : "false",
font.is_serif() ? "true" : "false",
font.is_fraktur() ? "true" : "false");
}
}
#endif
/** Print Tesseract parameters to the given file. */
void TessBaseAPI::PrintVariables(FILE *fp) const {
ParamUtils::PrintParams(fp, tesseract_->params());
}
/**
* The datapath must be the name of the data directory or
* some other file in which the data directory resides (for instance argv[0].)
* The language is (usually) an ISO 639-3 string or nullptr will default to eng.
* If numeric_mode is true, then only digits and Roman numerals will
* be returned.
* @return: 0 on success and -1 on initialization failure.
*/
int TessBaseAPI::Init(const char *datapath, const char *language, OcrEngineMode oem, char **configs,
int configs_size, const std::vector<std::string> *vars_vec,
const std::vector<std::string> *vars_values, bool set_only_non_debug_params) {
return Init(datapath, 0, language, oem, configs, configs_size, vars_vec, vars_values,
set_only_non_debug_params, nullptr);
}
// In-memory version reads the traineddata file directly from the given
// data[data_size] array. Also implements the version with a datapath in data,
// flagged by data_size = 0.
int TessBaseAPI::Init(const char *data, int data_size, const char *language, OcrEngineMode oem,
char **configs, int configs_size, const std::vector<std::string> *vars_vec,
const std::vector<std::string> *vars_values, bool set_only_non_debug_params,
FileReader reader) {
if (language == nullptr) {
language = "";
}
if (data == nullptr) {
data = "";
}
std::string datapath = data_size == 0 ? data : language;
// If the datapath, OcrEngineMode or the language have changed - start again.
// Note that the language_ field stores the last requested language that was
// initialized successfully, while tesseract_->lang stores the language
// actually used. They differ only if the requested language was nullptr, in
// which case tesseract_->lang is set to the Tesseract default ("eng").
if (tesseract_ != nullptr &&
(datapath_.empty() || language_.empty() || datapath_ != datapath ||
last_oem_requested_ != oem || (language_ != language && tesseract_->lang != language))) {
delete tesseract_;
tesseract_ = nullptr;
}
bool reset_classifier = true;
if (tesseract_ == nullptr) {
reset_classifier = false;
tesseract_ = new Tesseract;
if (reader != nullptr) {
reader_ = reader;
}
TessdataManager mgr(reader_);
if (data_size != 0) {
mgr.LoadMemBuffer(language, data, data_size);
}
if (tesseract_->init_tesseract(datapath, output_file_, language, oem, configs,
configs_size, vars_vec, vars_values, set_only_non_debug_params,
&mgr) != 0) {
return -1;
}
}
// Update datapath and language requested for the last valid initialization.
datapath_ = std::move(datapath);
if (datapath_.empty() && !tesseract_->datadir.empty()) {
datapath_ = tesseract_->datadir;
}
language_ = language;
last_oem_requested_ = oem;
#ifndef DISABLED_LEGACY_ENGINE
// For same language and datapath, just reset the adaptive classifier.
if (reset_classifier) {
tesseract_->ResetAdaptiveClassifier();
}
#endif // ndef DISABLED_LEGACY_ENGINE
return 0;
}
/**
* Returns the languages string used in the last valid initialization.
* If the last initialization specified "deu+hin" then that will be
* returned. If hin loaded eng automatically as well, then that will
* not be included in this list. To find the languages actually
* loaded use GetLoadedLanguagesAsVector.
* The returned string should NOT be deleted.
*/
const char *TessBaseAPI::GetInitLanguagesAsString() const {
return language_.c_str();
}
/**
* Returns the loaded languages in the vector of std::string.
* Includes all languages loaded by the last Init, including those loaded
* as dependencies of other loaded languages.
*/
void TessBaseAPI::GetLoadedLanguagesAsVector(std::vector<std::string> *langs) const {
langs->clear();
if (tesseract_ != nullptr) {
langs->push_back(tesseract_->lang);
int num_subs = tesseract_->num_sub_langs();
for (int i = 0; i < num_subs; ++i) {
langs->push_back(tesseract_->get_sub_lang(i)->lang);
}
}
}
/**
* Returns the available languages in the sorted vector of std::string.
*/
void TessBaseAPI::GetAvailableLanguagesAsVector(std::vector<std::string> *langs) const {
langs->clear();
if (tesseract_ != nullptr) {
addAvailableLanguages(tesseract_->datadir, langs);
std::sort(langs->begin(), langs->end());
}
}
/**
* Init only for page layout analysis. Use only for calls to SetImage and
* AnalysePage. Calls that attempt recognition will generate an error.
*/
void TessBaseAPI::InitForAnalysePage() {
if (tesseract_ == nullptr) {
tesseract_ = new Tesseract;
#ifndef DISABLED_LEGACY_ENGINE
tesseract_->InitAdaptiveClassifier(nullptr);
#endif
}
}
/**
* Read a "config" file containing a set of parameter name, value pairs.
* Searches the standard places: tessdata/configs, tessdata/tessconfigs
* and also accepts a relative or absolute path name.
*/
void TessBaseAPI::ReadConfigFile(const char *filename) {
tesseract_->read_config_file(filename, SET_PARAM_CONSTRAINT_NON_INIT_ONLY);
}
/** Same as above, but only set debug params from the given config file. */
void TessBaseAPI::ReadDebugConfigFile(const char *filename) {
tesseract_->read_config_file(filename, SET_PARAM_CONSTRAINT_DEBUG_ONLY);
}
/**
* Set the current page segmentation mode. Defaults to PSM_AUTO.
* The mode is stored as an IntParam so it can also be modified by
* ReadConfigFile or SetVariable("tessedit_pageseg_mode", mode as string).
*/
void TessBaseAPI::SetPageSegMode(PageSegMode mode) {
if (tesseract_ == nullptr) {
tesseract_ = new Tesseract;
}
tesseract_->tessedit_pageseg_mode.set_value(mode);
}
/** Return the current page segmentation mode. */
PageSegMode TessBaseAPI::GetPageSegMode() const {
if (tesseract_ == nullptr) {
return PSM_SINGLE_BLOCK;
}
return static_cast<PageSegMode>(static_cast<int>(tesseract_->tessedit_pageseg_mode));
}
/**
* Recognize a rectangle from an image and return the result as a string.
* May be called many times for a single Init.
* Currently has no error checking.
* Greyscale of 8 and color of 24 or 32 bits per pixel may be given.
* Palette color images will not work properly and must be converted to
* 24 bit.
* Binary images of 1 bit per pixel may also be given but they must be
* byte packed with the MSB of the first byte being the first pixel, and a
* one pixel is WHITE. For binary images set bytes_per_pixel=0.
* The recognized text is returned as a char* which is coded
* as UTF8 and must be freed with the delete [] operator.
*/
char *TessBaseAPI::TesseractRect(const unsigned char *imagedata, int bytes_per_pixel,
int bytes_per_line, int left, int top, int width, int height) {
if (tesseract_ == nullptr || width < kMinRectSize || height < kMinRectSize) {
return nullptr; // Nothing worth doing.
}
// Since this original api didn't give the exact size of the image,
// we have to invent a reasonable value.
int bits_per_pixel = bytes_per_pixel == 0 ? 1 : bytes_per_pixel * 8;
SetImage(imagedata, bytes_per_line * 8 / bits_per_pixel, height + top, bytes_per_pixel,
bytes_per_line);
SetRectangle(left, top, width, height);
return GetUTF8Text();
}
#ifndef DISABLED_LEGACY_ENGINE
/**
* Call between pages or documents etc to free up memory and forget
* adaptive data.
*/
void TessBaseAPI::ClearAdaptiveClassifier() {
if (tesseract_ == nullptr) {
return;
}
tesseract_->ResetAdaptiveClassifier();
tesseract_->ResetDocumentDictionary();
}
#endif // ndef DISABLED_LEGACY_ENGINE
/**
* Provide an image for Tesseract to recognize. Format is as
* TesseractRect above. Copies the image buffer and converts to Pix.
* SetImage clears all recognition results, and sets the rectangle to the
* full image, so it may be followed immediately by a GetUTF8Text, and it
* will automatically perform recognition.
*/
void TessBaseAPI::SetImage(const unsigned char *imagedata, int width, int height,
int bytes_per_pixel, int bytes_per_line) {
if (InternalSetImage()) {
thresholder_->SetImage(imagedata, width, height, bytes_per_pixel, bytes_per_line);
SetInputImage(thresholder_->GetPixRect());
}
}
void TessBaseAPI::SetSourceResolution(int ppi) {
if (thresholder_) {
thresholder_->SetSourceYResolution(ppi);
} else {
tprintf("Please call SetImage before SetSourceResolution.\n");
}
}
/**
* Provide an image for Tesseract to recognize. As with SetImage above,
* Tesseract takes its own copy of the image, so it need not persist until
* after Recognize.
* Pix vs raw, which to use?
* Use Pix where possible. Tesseract uses Pix as its internal representation
* and it is therefore more efficient to provide a Pix directly.
*/
void TessBaseAPI::SetImage(Pix *pix) {
if (InternalSetImage()) {
if (pixGetSpp(pix) == 4 && pixGetInputFormat(pix) == IFF_PNG) {
// remove alpha channel from png
Pix *p1 = pixRemoveAlpha(pix);
pixSetSpp(p1, 3);
(void)pixCopy(pix, p1);
pixDestroy(&p1);
}
thresholder_->SetImage(pix);
SetInputImage(thresholder_->GetPixRect());
}
}
/**
* Restrict recognition to a sub-rectangle of the image. Call after SetImage.
* Each SetRectangle clears the recognition results so multiple rectangles
* can be recognized with the same image.
*/
void TessBaseAPI::SetRectangle(int left, int top, int width, int height) {
if (thresholder_ == nullptr) {
return;
}
thresholder_->SetRectangle(left, top, width, height);
ClearResults();
}
/**
* ONLY available after SetImage if you have Leptonica installed.
* Get a copy of the internal thresholded image from Tesseract.
*/
Pix *TessBaseAPI::GetThresholdedImage() {
if (tesseract_ == nullptr || thresholder_ == nullptr) {
return nullptr;
}
if (tesseract_->pix_binary() == nullptr && !Threshold(&tesseract_->mutable_pix_binary()->pix_)) {
return nullptr;
}
return tesseract_->pix_binary().clone();
}
/**
* Get the result of page layout analysis as a leptonica-style
* Boxa, Pixa pair, in reading order.
* Can be called before or after Recognize.
*/
Boxa *TessBaseAPI::GetRegions(Pixa **pixa) {
return GetComponentImages(RIL_BLOCK, false, pixa, nullptr);
}
/**
* Get the textlines as a leptonica-style Boxa, Pixa pair, in reading order.
* Can be called before or after Recognize.
* If blockids is not nullptr, the block-id of each line is also returned as an
* array of one element per line. delete [] after use.
* If paraids is not nullptr, the paragraph-id of each line within its block is
* also returned as an array of one element per line. delete [] after use.
*/
Boxa *TessBaseAPI::GetTextlines(const bool raw_image, const int raw_padding, Pixa **pixa,
int **blockids, int **paraids) {
return GetComponentImages(RIL_TEXTLINE, true, raw_image, raw_padding, pixa, blockids, paraids);
}
/**
* Get textlines and strips of image regions as a leptonica-style Boxa, Pixa
* pair, in reading order. Enables downstream handling of non-rectangular
* regions.
* Can be called before or after Recognize.
* If blockids is not nullptr, the block-id of each line is also returned as an
* array of one element per line. delete [] after use.
*/
Boxa *TessBaseAPI::GetStrips(Pixa **pixa, int **blockids) {
return GetComponentImages(RIL_TEXTLINE, false, pixa, blockids);
}
/**
* Get the words as a leptonica-style
* Boxa, Pixa pair, in reading order.
* Can be called before or after Recognize.
*/
Boxa *TessBaseAPI::GetWords(Pixa **pixa) {
return GetComponentImages(RIL_WORD, true, pixa, nullptr);
}
/**
* Gets the individual connected (text) components (created
* after pages segmentation step, but before recognition)
* as a leptonica-style Boxa, Pixa pair, in reading order.
* Can be called before or after Recognize.
*/
Boxa *TessBaseAPI::GetConnectedComponents(Pixa **pixa) {
return GetComponentImages(RIL_SYMBOL, true, pixa, nullptr);
}
/**
* Get the given level kind of components (block, textline, word etc.) as a
* leptonica-style Boxa, Pixa pair, in reading order.
* Can be called before or after Recognize.
* If blockids is not nullptr, the block-id of each component is also returned
* as an array of one element per component. delete [] after use.
* If text_only is true, then only text components are returned.
*/
Boxa *TessBaseAPI::GetComponentImages(PageIteratorLevel level, bool text_only, bool raw_image,
const int raw_padding, Pixa **pixa, int **blockids,
int **paraids) {
/*non-const*/ std::unique_ptr</*non-const*/ PageIterator> page_it(GetIterator());
if (page_it == nullptr) {
page_it.reset(AnalyseLayout());
}
if (page_it == nullptr) {
return nullptr; // Failed.
}
// Count the components to get a size for the arrays.
int component_count = 0;
int left, top, right, bottom;
if (raw_image) {
// Get bounding box in original raw image with padding.
do {
if (page_it->BoundingBox(level, raw_padding, &left, &top, &right, &bottom) &&
(!text_only || PTIsTextType(page_it->BlockType()))) {
++component_count;
}
} while (page_it->Next(level));
} else {
// Get bounding box from binarized imaged. Note that this could be
// differently scaled from the original image.
do {
if (page_it->BoundingBoxInternal(level, &left, &top, &right, &bottom) &&
(!text_only || PTIsTextType(page_it->BlockType()))) {
++component_count;
}
} while (page_it->Next(level));
}
Boxa *boxa = boxaCreate(component_count);
if (pixa != nullptr) {
*pixa = pixaCreate(component_count);
}
if (blockids != nullptr) {
*blockids = new int[component_count];
}
if (paraids != nullptr) {
*paraids = new int[component_count];
}
int blockid = 0;
int paraid = 0;
int component_index = 0;
page_it->Begin();
do {
bool got_bounding_box;
if (raw_image) {
got_bounding_box = page_it->BoundingBox(level, raw_padding, &left, &top, &right, &bottom);
} else {
got_bounding_box = page_it->BoundingBoxInternal(level, &left, &top, &right, &bottom);
}
if (got_bounding_box && (!text_only || PTIsTextType(page_it->BlockType()))) {
Box *lbox = boxCreate(left, top, right - left, bottom - top);
boxaAddBox(boxa, lbox, L_INSERT);
if (pixa != nullptr) {
Pix *pix = nullptr;
if (raw_image) {
pix = page_it->GetImage(level, raw_padding, GetInputImage(), &left, &top);
} else {
pix = page_it->GetBinaryImage(level);
}
pixaAddPix(*pixa, pix, L_INSERT);
pixaAddBox(*pixa, lbox, L_CLONE);
}
if (paraids != nullptr) {
(*paraids)[component_index] = paraid;
if (page_it->IsAtFinalElement(RIL_PARA, level)) {
++paraid;
}
}
if (blockids != nullptr) {
(*blockids)[component_index] = blockid;
if (page_it->IsAtFinalElement(RIL_BLOCK, level)) {
++blockid;
paraid = 0;
}
}
++component_index;
}
} while (page_it->Next(level));
return boxa;
}
int TessBaseAPI::GetThresholdedImageScaleFactor() const {
if (thresholder_ == nullptr) {
return 0;
}
return thresholder_->GetScaleFactor();
}
/**
* Runs page layout analysis in the mode set by SetPageSegMode.
* May optionally be called prior to Recognize to get access to just
* the page layout results. Returns an iterator to the results.
* If merge_similar_words is true, words are combined where suitable for use
* with a line recognizer. Use if you want to use AnalyseLayout to find the
* textlines, and then want to process textline fragments with an external
* line recognizer.
* Returns nullptr on error or an empty page.
* The returned iterator must be deleted after use.
* WARNING! This class points to data held within the TessBaseAPI class, and
* therefore can only be used while the TessBaseAPI class still exists and
* has not been subjected to a call of Init, SetImage, Recognize, Clear, End
* DetectOS, or anything else that changes the internal PAGE_RES.
*/
PageIterator *TessBaseAPI::AnalyseLayout() {
return AnalyseLayout(false);
}
PageIterator *TessBaseAPI::AnalyseLayout(bool merge_similar_words) {
if (FindLines() == 0) {
if (block_list_->empty()) {
return nullptr; // The page was empty.
}
page_res_ = new PAGE_RES(merge_similar_words, block_list_, nullptr);
DetectParagraphs(false);
return new PageIterator(page_res_, tesseract_, thresholder_->GetScaleFactor(),
thresholder_->GetScaledYResolution(), rect_left_, rect_top_,
rect_width_, rect_height_);
}
return nullptr;
}
/**
* Recognize the tesseract global image and return the result as Tesseract
* internal structures.
*/
int TessBaseAPI::Recognize(ETEXT_DESC *monitor) {
if (tesseract_ == nullptr) {
return -1;
}
if (FindLines() != 0) {
return -1;
}
delete page_res_;
if (block_list_->empty()) {
page_res_ = new PAGE_RES(false, block_list_, &tesseract_->prev_word_best_choice_);
return 0; // Empty page.
}
tesseract_->SetBlackAndWhitelist();
recognition_done_ = true;
#ifndef DISABLED_LEGACY_ENGINE
if (tesseract_->tessedit_resegment_from_line_boxes) {
page_res_ = tesseract_->ApplyBoxes(input_file_.c_str(), true, block_list_);
} else if (tesseract_->tessedit_resegment_from_boxes) {
page_res_ = tesseract_->ApplyBoxes(input_file_.c_str(), false, block_list_);
} else
#endif // ndef DISABLED_LEGACY_ENGINE
{
page_res_ =
new PAGE_RES(tesseract_->AnyLSTMLang(), block_list_, &tesseract_->prev_word_best_choice_);
}
if (page_res_ == nullptr) {
return -1;
}
if (tesseract_->tessedit_train_line_recognizer) {
if (!tesseract_->TrainLineRecognizer(input_file_.c_str(), output_file_, block_list_)) {
return -1;
}
tesseract_->CorrectClassifyWords(page_res_);
return 0;
}
#ifndef DISABLED_LEGACY_ENGINE
if (tesseract_->tessedit_make_boxes_from_boxes) {
tesseract_->CorrectClassifyWords(page_res_);
return 0;
}
#endif // ndef DISABLED_LEGACY_ENGINE
int result = 0;
if (tesseract_->interactive_display_mode) {
#ifndef GRAPHICS_DISABLED
tesseract_->pgeditor_main(rect_width_, rect_height_, page_res_);
#endif // !GRAPHICS_DISABLED
// The page_res is invalid after an interactive session, so cleanup
// in a way that lets us continue to the next page without crashing.
delete page_res_;
page_res_ = nullptr;
return -1;
#ifndef DISABLED_LEGACY_ENGINE
} else if (tesseract_->tessedit_train_from_boxes) {
std::string fontname;
ExtractFontName(output_file_.c_str(), &fontname);
tesseract_->ApplyBoxTraining(fontname, page_res_);
} else if (tesseract_->tessedit_ambigs_training) {
FILE *training_output_file = tesseract_->init_recog_training(input_file_.c_str());
// OCR the page segmented into words by tesseract.
tesseract_->recog_training_segmented(input_file_.c_str(), page_res_, monitor,
training_output_file);
fclose(training_output_file);
#endif // ndef DISABLED_LEGACY_ENGINE
} else {
// Now run the main recognition.
bool wait_for_text = true;
GetBoolVariable("paragraph_text_based", &wait_for_text);
if (!wait_for_text) {
DetectParagraphs(false);
}
if (tesseract_->recog_all_words(page_res_, monitor, nullptr, nullptr, 0)) {
if (wait_for_text) {
DetectParagraphs(true);
}
} else {
result = -1;
}
}
return result;
}
// Takes ownership of the input pix.
void TessBaseAPI::SetInputImage(Pix *pix) {
tesseract_->set_pix_original(pix);
}
Pix *TessBaseAPI::GetInputImage() {
return tesseract_->pix_original();
}
const char *TessBaseAPI::GetInputName() {
if (!input_file_.empty()) {
return input_file_.c_str();
}
return nullptr;
}
const char *TessBaseAPI::GetDatapath() {
return tesseract_->datadir.c_str();
}
int TessBaseAPI::GetSourceYResolution() {
if (thresholder_ == nullptr)
return -1;
return thresholder_->GetSourceYResolution();
}
// If flist exists, get data from there. Otherwise get data from buf.
// Seems convoluted, but is the easiest way I know of to meet multiple
// goals. Support streaming from stdin, and also work on platforms
// lacking fmemopen.
// TODO: check different logic for flist/buf and simplify.
bool TessBaseAPI::ProcessPagesFileList(FILE *flist, std::string *buf, const char *retry_config,
int timeout_millisec, TessResultRenderer *renderer,
int tessedit_page_number) {
if (!flist && !buf) {
return false;
}
unsigned page = (tessedit_page_number >= 0) ? tessedit_page_number : 0;
char pagename[MAX_PATH];
std::vector<std::string> lines;
if (!flist) {
std::string line;
for (const auto ch : *buf) {
if (ch == '\n') {
lines.push_back(line);
line.clear();
} else {
line.push_back(ch);
}
}
if (!line.empty()) {
// Add last line without terminating LF.
lines.push_back(line);
}
if (lines.empty()) {
return false;
}
}
// Skip to the requested page number.
for (unsigned i = 0; i < page; i++) {
if (flist) {
if (fgets(pagename, sizeof(pagename), flist) == nullptr) {
break;
}
}
}
// Begin producing output
if (renderer && !renderer->BeginDocument(document_title.c_str())) {
return false;
}
// Loop over all pages - or just the requested one
while (true) {
if (flist) {
if (fgets(pagename, sizeof(pagename), flist) == nullptr) {
break;
}
} else {
if (page >= lines.size()) {
break;
}
snprintf(pagename, sizeof(pagename), "%s", lines[page].c_str());
}
chomp_string(pagename);
Pix *pix = pixRead(pagename);
if (pix == nullptr) {
tprintf("Image file %s cannot be read!\n", pagename);
return false;
}
tprintf("Page %u : %s\n", page, pagename);
bool r = ProcessPage(pix, page, pagename, retry_config, timeout_millisec, renderer);
pixDestroy(&pix);
if (!r) {
return false;
}
if (tessedit_page_number >= 0) {
break;
}
++page;
}
// Finish producing output
if (renderer && !renderer->EndDocument()) {
return false;
}
return true;
}
bool TessBaseAPI::ProcessPagesMultipageTiff(const l_uint8 *data, size_t size, const char *filename,
const char *retry_config, int timeout_millisec,
TessResultRenderer *renderer,
int tessedit_page_number) {
Pix *pix = nullptr;
int page = (tessedit_page_number >= 0) ? tessedit_page_number : 0;
size_t offset = 0;
for (;; ++page) {
if (tessedit_page_number >= 0) {
page = tessedit_page_number;
pix = (data) ? pixReadMemTiff(data, size, page) : pixReadTiff(filename, page);
} else {
pix = (data) ? pixReadMemFromMultipageTiff(data, size, &offset)
: pixReadFromMultipageTiff(filename, &offset);
}
if (pix == nullptr) {
break;
}
if (offset || page > 0) {
// Only print page number for multipage TIFF file.
tprintf("Page %d\n", page + 1);
}
auto page_string = std::to_string(page);
SetVariable("applybox_page", page_string.c_str());
bool r = ProcessPage(pix, page, filename, retry_config, timeout_millisec, renderer);
pixDestroy(&pix);
if (!r) {
return false;
}
if (tessedit_page_number >= 0) {
break;
}
if (!offset) {
break;
}
}
return true;
}
// Master ProcessPages calls ProcessPagesInternal and then does any post-
// processing required due to being in a training mode.
bool TessBaseAPI::ProcessPages(const char *filename, const char *retry_config, int timeout_millisec,
TessResultRenderer *renderer) {
bool result = ProcessPagesInternal(filename, retry_config, timeout_millisec, renderer);
#ifndef DISABLED_LEGACY_ENGINE
if (result) {