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561 lines
21 KiB
C++
561 lines
21 KiB
C++
///////////////////////////////////////////////////////////////////////
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// File: baseapi.h
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// Description: Simple API for calling tesseract.
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// Author: Ray Smith
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// Created: Fri Oct 06 15:35:01 PDT 2006
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//
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// (C) Copyright 2006, 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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#ifndef TESSERACT_CCMAIN_BASEAPI_H__
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#define TESSERACT_CCMAIN_BASEAPI_H__
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#include "thresholder.h"
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class PAGE_RES;
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class PAGE_RES_IT;
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class BLOCK_LIST;
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class IMAGE;
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class STRING;
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struct Pix;
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struct Box;
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struct Pixa;
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struct Boxa;
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struct ETEXT_STRUCT;
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struct OSResults;
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struct TBOX;
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#define MAX_NUM_INT_FEATURES 512
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struct INT_FEATURE_STRUCT;
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typedef INT_FEATURE_STRUCT *INT_FEATURE;
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typedef INT_FEATURE_STRUCT INT_FEATURE_ARRAY[MAX_NUM_INT_FEATURES];
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#ifdef TESSDLL_EXPORTS
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#define TESSDLL_API __declspec(dllexport)
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#elif defined(TESSDLL_IMPORTS)
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#define TESSDLL_API __declspec(dllimport)
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#else
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#define TESSDLL_API
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#endif
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namespace tesseract {
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class Dict;
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class Tesseract;
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class Trie;
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class CubeRecoContext;
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class TesseractCubeCombiner;
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class CubeObject;
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class CubeLineObject;
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class Dawg;
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typedef int (Dict::*DictFunc)(void* void_dawg_args, int char_index,
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const void *word, bool word_end);
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enum PageSegMode {
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PSM_AUTO, ///< Fully automatic page segmentation.
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PSM_SINGLE_COLUMN, ///< Assume a single column of text of variable sizes.
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PSM_SINGLE_BLOCK, ///< Assume a single uniform block of text. (Default.)
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PSM_SINGLE_LINE, ///< Treat the image as a single text line.
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PSM_SINGLE_WORD, ///< Treat the image as a single word.
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PSM_SINGLE_CHAR, ///< Treat the image as a single character.
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PSM_COUNT ///< Number of enum entries.
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};
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/**
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* The values in the AccuracyVSpeed enum provide hints for how the engine
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* should trade speed for accuracy. There is no guarantee of any effect.
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*/
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enum AccuracyVSpeed {
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AVS_FASTEST = 0, ///< Fastest speed, but lowest accuracy.
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AVS_MOST_ACCURATE = 100 ///< Greatest accuracy, but slowest speed.
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};
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/**
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* Base class for all tesseract APIs.
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* Specific classes can add ability to work on different inputs or produce
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* different outputs.
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* This class is mostly an interface layer on top of the Tesseract instance
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* class to hide the data types so that users of this class don't have to
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* include any other Tesseract headers.
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*/
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class TESSDLL_API TessBaseAPI {
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public:
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TessBaseAPI();
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virtual ~TessBaseAPI();
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/**
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* Set the name of the input file. Needed only for training and
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* reading a UNLV zone file.
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*/
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void SetInputName(const char* name);
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/** Set the name of the bonus output files. Needed only for debugging. */
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void SetOutputName(const char* name);
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/**
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* Set the value of an internal "variable" (of either old or new types).
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* Supply the name of the variable and the value as a string, just as
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* you would in a config file.
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* Returns false if the name lookup failed.
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* Eg SetVariable("tessedit_char_blacklist", "xyz"); to ignore x, y and z.
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* Or SetVariable("bln_numericmode", "1"); to set numeric-only mode.
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* SetVariable may be used before Init, but settings will revert to
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* defaults on End().
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*/
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bool SetVariable(const char* variable, const char* value);
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/**
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* Eventually instances will be thread-safe and totally independent,
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* but for now, they all point to the same underlying engine,
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* and are NOT RE-ENTRANT OR THREAD-SAFE. For now:
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* it is safe to Init multiple TessBaseAPIs in the same language, use them
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* sequentially, and End or delete them all, but once one is Ended, you can't
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* do anything other than End the others. After End, it is safe to Init
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* again on the same one.
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*
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* Start tesseract. Returns zero on success and -1 on failure.
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* NOTE that the only members that may be called before Init are those
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* listed above here in the class definition.
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*
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* The datapath must be the name of the data directory (no ending /) or
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* some other file in which the data directory resides (for instance argv[0].)
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* The language is (usually) an ISO 639-3 string or NULL will default to eng.
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* It is entirely safe (and eventually will be efficient too) to call
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* Init multiple times on the same instance to change language, or just
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* to reset the classifier.
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* WARNING: On changing languages, all Variables are reset back to their
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* default values. If you have a rare need to set a Variable that controls
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* initialization for a second call to Init you should explicitly
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* call End() and then use SetVariable before Init. This is only a very
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* rare use case, since there are very few uses that require any variables
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* to be set before Init.
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*/
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int Init(const char* datapath, const char* language,
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char **configs, int configs_size, bool configs_global_only);
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int Init(const char* datapath, const char* language) {
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return Init(datapath, language, 0, 0, false);
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}
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/**
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* Init only the lang model component of Tesseract. The only functions
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* that work after this init are SetVariable and IsValidWord.
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* WARNING: temporary! This function will be removed from here and placed
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* in a separate API at some future time.
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*/
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int InitLangMod(const char* datapath, const char* language);
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/**
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* Init everything except the language model. Used to allow initialization for
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* the specified language without any available dawg models.
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*/
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int InitWithoutLangModel(const char* datapath, const char* language);
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/**
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* Read a "config" file containing a set of variable, value pairs.
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* Searches the standard places: tessdata/configs, tessdata/tessconfigs
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* and also accepts a relative or absolute path name.
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*/
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void ReadConfigFile(const char* filename, bool global_only);
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/**
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* Set the current page segmentation mode. Defaults to PSM_SINGLE_BLOCK.
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* The mode is stored as an INT_VARIABLE so it can also be modified by
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* ReadConfigFile or SetVariable("tessedit_pageseg_mode", mode as string).
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*/
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void SetPageSegMode(PageSegMode mode);
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/** Return the current page segmentation mode. */
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PageSegMode GetPageSegMode() const;
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/**
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* Set the hint for trading accuracy against speed.
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* Default is AVS_FASTEST, which is the old behaviour.
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* Note that this is only a hint. Depending on the language and/or
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* build configuration, speed and accuracy may not be tradeable.
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* Also note that despite being an enum, any value in the range
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* AVS_FASTEST to AVS_MOST_ACCURATE can be provided, and may or may not
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* have an effect, depending on the implementation.
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* The mode is stored as an INT_VARIABLE so it can also be modified by
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* ReadConfigFile or SetVariable("tessedit_accuracyvspeed", mode as string).
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*/
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void SetAccuracyVSpeed(AccuracyVSpeed mode);
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/**
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* Recognize a rectangle from an image and return the result as a string.
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* May be called many times for a single Init.
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* Currently has no error checking.
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* Greyscale of 8 and color of 24 or 32 bits per pixel may be given.
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* Palette color images will not work properly and must be converted to
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* 24 bit.
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* Binary images of 1 bit per pixel may also be given but they must be
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* byte packed with the MSB of the first byte being the first pixel, and a
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* 1 represents WHITE. For binary images set bytes_per_pixel=0.
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* The recognized text is returned as a char* which is coded
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* as UTF8 and must be freed with the delete [] operator.
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*
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* Note that TesseractRect is the simplified convenience interface.
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* For advanced uses, use SetImage, (optionally) SetRectangle, Recognize,
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* and one or more of the Get*Text functions below.
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*/
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char* TesseractRect(const unsigned char* imagedata,
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int bytes_per_pixel, int bytes_per_line,
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int left, int top, int width, int height);
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/**
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* Call between pages or documents etc to free up memory and forget
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* adaptive data.
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*/
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void ClearAdaptiveClassifier();
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/**
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* @defgroup AdvancedAPI Advanced API
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* The following methods break TesseractRect into pieces, so you can
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* get hold of the thresholded image, get the text in different formats,
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* get bounding boxes, confidences etc.
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*/
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/* @{ */
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/**
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* Provide an image for Tesseract to recognize. Format is as
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* TesseractRect above. Does not copy the image buffer, or take
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* ownership. The source image may be destroyed after Recognize is called,
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* either explicitly or implicitly via one of the Get*Text functions.
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* SetImage clears all recognition results, and sets the rectangle to the
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* full image, so it may be followed immediately by a GetUTF8Text, and it
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* will automatically perform recognition.
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*/
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void SetImage(const unsigned char* imagedata, int width, int height,
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int bytes_per_pixel, int bytes_per_line);
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/**
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* Provide an image for Tesseract to recognize. As with SetImage above,
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* Tesseract doesn't take a copy or ownership or pixDestroy the image, so
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* it must persist until after Recognize.
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* Pix vs raw, which to use?
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* Use Pix where possible. A future version of Tesseract may choose to use Pix
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* as its internal representation and discard IMAGE altogether.
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* Because of that, an implementation that sources and targets Pix may end up
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* with less copies than an implementation that does not.
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*/
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void SetImage(const Pix* pix);
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/**
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* Restrict recognition to a sub-rectangle of the image. Call after SetImage.
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* Each SetRectangle clears the recogntion results so multiple rectangles
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* can be recognized with the same image.
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*/
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void SetRectangle(int left, int top, int width, int height);
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/**
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* In extreme cases only, usually with a subclass of Thresholder, it
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* is possible to provide a different Thresholder. The Thresholder may
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* be preloaded with an image, settings etc, or they may be set after.
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* Note that Tesseract takes ownership of the Thresholder and will
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* delete it when it it is replaced or the API is destructed.
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*/
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void SetThresholder(ImageThresholder* thresholder) {
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if (thresholder_ != 0)
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delete thresholder_;
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thresholder_ = thresholder;
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ClearResults();
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}
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/**
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* Get a copy of the internal thresholded image from Tesseract.
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* Caller takes ownership of the Pix and must pixDestroy it.
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* May be called any time after SetImage, or after TesseractRect.
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*/
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Pix* GetThresholdedImage();
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/**
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* Get the result of page layout analysis as a leptonica-style
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* Boxa, Pixa pair, in reading order.
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* Can be called before or after Recognize.
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*/
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Boxa* GetRegions(Pixa** pixa);
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/**
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* Get the textlines as a leptonica-style
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* Boxa, Pixa pair, in reading order.
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* Can be called before or after Recognize.
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* If blockids is not NULL, the block-id of each line is also returned as an
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* array of one element per line. delete [] after use.
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*/
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Boxa* GetTextlines(Pixa** pixa, int** blockids);
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/**
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* Get the words as a leptonica-style
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* Boxa, Pixa pair, in reading order.
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* Can be called before or after Recognize.
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*/
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Boxa* GetWords(Pixa** pixa);
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/**
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* Dump the internal binary image to a PGM file.
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* @deprecated Use GetThresholdedImage and write the image using pixWrite
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* instead if possible.
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*/
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void DumpPGM(const char* filename);
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/**
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* Recognize the image from SetAndThresholdImage, generating Tesseract
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* internal structures. Returns 0 on success.
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* Optional. The Get*Text functions below will call Recognize if needed.
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* After Recognize, the output is kept internally until the next SetImage.
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*/
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int Recognize(ETEXT_STRUCT* monitor);
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/**
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* Methods to retrieve information after SetAndThresholdImage(),
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* Recognize() or TesseractRect(). (Recognize is called implicitly if needed.)
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*/
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/** Variant on Recognize used for testing chopper. */
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int RecognizeForChopTest(struct ETEXT_STRUCT* monitor);
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/**
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* The recognized text is returned as a char* which is coded
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* as UTF8 and must be freed with the delete [] operator.
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*/
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char* GetUTF8Text();
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/**
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* Make a HTML-formatted string with hOCR markup from the internal
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* data structures.
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* STL removed from original patch submission and refactored by rays.
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* page_id is 1-based and will appear in the output.
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*/
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char* GetHOCRText(int page_id);
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/**
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* The recognized text is returned as a char* which is coded in the same
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* format as a box file used in training. Returned string must be freed with
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* the delete [] operator.
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* Constructs coordinates in the original image - not just the rectangle.
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* page_number is a 0-base page index that will appear in the box file.
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*/
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char* GetBoxText(int page_number);
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/**
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* The recognized text is returned as a char* which is coded
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* as UNLV format Latin-1 with specific reject and suspect codes
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* and must be freed with the delete [] operator.
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*/
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char* GetUNLVText();
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/** Returns the (average) confidence value between 0 and 100. */
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int MeanTextConf();
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/**
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* Returns all word confidences (between 0 and 100) in an array, terminated
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* by -1. The calling function must delete [] after use.
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* The number of confidences should correspond to the number of space-
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* delimited words in GetUTF8Text.
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*/
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int* AllWordConfidences();
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/**
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* Free up recognition results and any stored image data, without actually
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* freeing any recognition data that would be time-consuming to reload.
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* Afterwards, you must call SetImage or TesseractRect before doing
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* any Recognize or Get* operation.
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*/
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void Clear();
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/**
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* Close down tesseract and free up all memory. End() is equivalent to
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* destructing and reconstructing your TessBaseAPI.
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* Once End() has been used, none of the other API functions may be used
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* other than Init and anything declared above it in the class definition.
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*/
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void End();
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/**
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* Check whether a word is valid according to Tesseract's language model
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* @return 0 if the word is invalid, non-zero if valid.
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* @warning temporary! This function will be removed from here and placed
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* in a separate API at some future time.
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*/
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int IsValidWord(const char *word);
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bool GetTextDirection(int* out_offset, float* out_slope);
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/** Set the letter_is_okay function to point somewhere else. */
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void SetDictFunc(DictFunc f);
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/**
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* Estimates the Orientation And Script of the image.
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* @return true if the image was processed successfully.
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*/
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bool DetectOS(OSResults*);
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/** This method returns the features associated with the input image. */
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void GetFeatures(INT_FEATURE_ARRAY int_features,
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int* num_features);
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/** Return the pointer to the i-th dawg loaded into tesseract_ object. */
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const Dawg *GetDawg(int i) const;
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/** Return the number of dawgs loaded into tesseract_ object. */
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int NumDawgs() const;
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/** Return the language used in the last valid initialization. */
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const char* GetLastInitLanguage() const;
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/* @} */
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protected:
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/** Common code for setting the image. Returns true if Init has been called. */
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bool InternalSetImage();
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/**
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* Run the thresholder to make the thresholded image. If pix is not NULL,
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* the source is thresholded to pix instead of the internal IMAGE.
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*/
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virtual void Threshold(Pix** pix);
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/**
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* Find lines from the image making the BLOCK_LIST.
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* @return 0 on success.
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*/
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int FindLines();
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/** Delete the pageres and block list ready for a new page. */
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void ClearResults();
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/**
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* Return the length of the output text string, as UTF8, assuming
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* one newline per line and one per block, with a terminator,
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* and assuming a single character reject marker for each rejected character.
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* Also return the number of recognized blobs in blob_count.
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*/
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int TextLength(int* blob_count);
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/** @defgroup ocropusAddOns ocropus add-ons */
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/* @{ */
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/** Find lines from the image making the BLOCK_LIST. */
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BLOCK_LIST* FindLinesCreateBlockList();
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/**
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* Delete a block list.
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* This is to keep BLOCK_LIST pointer opaque
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* and let go of including the other headers.
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*/
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static void DeleteBlockList(BLOCK_LIST* block_list);
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/**
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* Adapt to recognize the current image as the given character.
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* The image must be preloaded and be just an image of a single character.
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*/
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void AdaptToCharacter(const char *unichar_repr,
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int length,
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float baseline,
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float xheight,
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float descender,
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float ascender);
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/** Recognize text doing one pass only, using settings for a given pass. */
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/*static*/ PAGE_RES* RecognitionPass1(BLOCK_LIST* block_list);
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/*static*/ PAGE_RES* RecognitionPass2(BLOCK_LIST* block_list,
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PAGE_RES* pass1_result);
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/**
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* Extract the OCR results, costs (penalty points for uncertainty),
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* and the bounding boxes of the characters.
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*/
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static int TesseractExtractResult(char** text,
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int** lengths,
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float** costs,
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int** x0,
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int** y0,
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int** x1,
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int** y1,
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PAGE_RES* page_res);
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/**
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* Call the Cube OCR engine. Takes the Region, line and word segmentation
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* information from Tesseract as inputs. Makes changes or populates the
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* output PAGE_RES object which contains the recogntion results.
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* The behavior of this function depends on the
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* current language and the value of the tessedit_accuracyvspeed:
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* For English (and other Latin based scripts):
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* If the accuracyvspeed flag is set to any value other than AVS_FASTEST,
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* Cube uses the word information passed by Tesseract.
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* Cube will run on a subset of the words segmented and recognized by
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* Tesseract. The value of the accuracyvspeed and the Tesseract
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* confidence of a word determines whether Cube runs on it or not and
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* whether Cube's results override Tesseract's
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* For Arabic & Hindi:
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* Cube uses the Region information passed by Tesseract. It then performs
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* its own line segmentation. This will change once Tesseract's line
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* segmentation works for Arabic. Cube then segments each line into
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* phrases. Each phrase is then recognized in phrase mode which allows
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* spaces in the results.
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* Note that at this point, the line segmentation algorithm might have
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* some problems with ill spaced Arabic document.
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*/
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int Cube();
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/** Run Cube on the lines extracted by Tesseract. */
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int RunCubeOnLines();
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/**
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* Run Cube on a subset of the words already present in the page_res_ object
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* The subset, and whether Cube overrides the results is determined by
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* the SpeedVsAccuracy flag
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*/
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int CubePostProcessWords();
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/** Create a Cube line object for each line */
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CubeLineObject **CreateLineObjects(Pixa* pixa_lines);
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/**
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* Create a TBox array corresponding to the phrases in the array of
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* line objects
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*/
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TBOX *CreatePhraseBoxes(Boxa* boxa_lines, CubeLineObject **line_objs,
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int *phrase_cnt);
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/** Recognize the phrases saving the results to the page_res_ object */
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bool RecognizePhrases(int line_cnt, int phrase_cnt,
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CubeLineObject **line_objs, TBOX *phrase_boxes);
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/** Recognize a single phrase saving the results to the page_res_ object */
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bool RecognizePhrase(CubeObject *phrase, PAGE_RES_IT *result);
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/** Create the necessary Cube Objects */
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bool CreateCubeObjects();
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/* @} */
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protected:
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Tesseract* tesseract_; ///< The underlying data object.
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ImageThresholder* thresholder_; ///< Image thresholding module.
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bool threshold_done_; ///< Image has been passed to page_image.
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BLOCK_LIST* block_list_; ///< The page layout.
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PAGE_RES* page_res_; ///< The page-level data.
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STRING* input_file_; ///< Name used by training code.
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STRING* output_file_; ///< Name used by debug code.
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STRING* datapath_; ///< Current location of tessdata.
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STRING* language_; ///< Last initialized language.
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/**
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* @defgroup ThresholderParams
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* Parameters saved from the Thresholder. Needed to rebuild coordinates.
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*/
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/* @{ */
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int rect_left_;
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int rect_top_;
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int rect_width_;
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int rect_height_;
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int image_width_;
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int image_height_;
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/* @} */
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};
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} // namespace tesseract.
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#endif // TESSERACT_CCMAIN_BASEAPI_H__
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