org.bytedeco.opencv.opencv_text

Class OCRHolisticWordRecognizer

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_text.BaseOCR

org.bytedeco.opencv.opencv_text.OCRHolisticWordRecognizer

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::text")
 @Properties(inherit=opencv_text.class)
public class OCRHolisticWordRecognizer
extends BaseOCR

\brief OCRHolisticWordRecognizer class provides the functionallity of segmented wordspotting. Given a predefined vocabulary , a DictNet is employed to select the most probable word given an input image. DictNet is described in detail in: Max Jaderberg et al.: Reading Text in the Wild with Convolutional Neural Networks, IJCV 2015 http://arxiv.org/abs/1412.1842

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
OCRHolisticWordRecognizer(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
static OCRHolisticWordRecognizer	create(BytePointer archFilename, BytePointer weightsFilename, BytePointer wordsFilename) \brief Creates an instance of the OCRHolisticWordRecognizer class.
static OCRHolisticWordRecognizer	create(String archFilename, String weightsFilename, String wordsFilename)
void	run(Mat image, BytePointer output_text)
void	run(Mat image, BytePointer output_text, RectVector component_rects, StringVector component_texts, FloatVector component_confidences, int component_level)
void	run(Mat image, Mat mask, BytePointer output_text)
void	run(Mat image, Mat mask, BytePointer output_text, RectVector component_rects, StringVector component_texts, FloatVector component_confidences, int component_level) \brief Recognize text using a segmentation based word-spotting/classifier cnn.

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

OCRHolisticWordRecognizer

public OCRHolisticWordRecognizer(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

run

public void run(@ByRef
                Mat image,
                @StdString @ByRef
                BytePointer output_text,
                RectVector component_rects,
                StringVector component_texts,
                FloatVector component_confidences,
                int component_level)

Overrides:

run in class BaseOCR

run

public void run(@ByRef
                Mat image,
                @StdString @ByRef
                BytePointer output_text)

Overrides:

run in class BaseOCR

run

public void run(@ByRef
                Mat image,
                @ByRef
                Mat mask,
                @StdString @ByRef
                BytePointer output_text,
                RectVector component_rects,
                StringVector component_texts,
                FloatVector component_confidences,
                int component_level)

\brief Recognize text using a segmentation based word-spotting/classifier cnn.

Takes image on input and returns recognized text in the output_text parameter. Optionally provides also the Rects for individual text elements found (e.g. words), and the list of those text elements with their confidence values.

Overrides:

run in class BaseOCR

Parameters:

image - Input image CV_8UC1 or CV_8UC3

mask - is totally ignored and is only available for compatibillity reasons

output_text - Output text of the the word spoting, always one that exists in the dictionary.

component_rects - Not applicable for word spotting can be be NULL if not, a single elemnt will be put in the vector.

component_texts - Not applicable for word spotting can be be NULL if not, a single elemnt will be put in the vector.

component_confidences - Not applicable for word spotting can be be NULL if not, a single elemnt will be put in the vector.

component_level - must be OCR_LEVEL_WORD.

run

public void run(@ByRef
                Mat image,
                @ByRef
                Mat mask,
                @StdString @ByRef
                BytePointer output_text)

Overrides:

run in class BaseOCR

create

@opencv_core.Ptr
public static OCRHolisticWordRecognizer create(@StdString
                                                                BytePointer archFilename,
                                                                @StdString
                                                                BytePointer weightsFilename,
                                                                @StdString
                                                                BytePointer wordsFilename)

\brief Creates an instance of the OCRHolisticWordRecognizer class.

create

@opencv_core.Ptr
public static OCRHolisticWordRecognizer create(@StdString
                                                                String archFilename,
                                                                @StdString
                                                                String weightsFilename,
                                                                @StdString
                                                                String wordsFilename)