org.bytedeco.opencv.opencv_text

Class TextDetectorCNN

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_text.TextDetector

org.bytedeco.opencv.opencv_text.TextDetectorCNN

All Implemented Interfaces:

AutoCloseable

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

\brief TextDetectorCNN class provides the functionallity of text bounding box detection. This class is representing to find bounding boxes of text words given an input image. This class uses OpenCV dnn module to load pre-trained model described in \cite LiaoSBWL17. The original repository with the modified SSD Caffe version: https://github.com/MhLiao/TextBoxes. Model can be downloaded from [DropBox](https://www.dropbox.com/s/g8pjzv2de9gty8g/TextBoxes_icdar13.caffemodel?dl=0). Modified .prototxt file with the model description can be found in opencv_contrib/modules/text/samples/textbox.prototxt.

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
TextDetectorCNN(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
static TextDetectorCNN	create(BytePointer modelArchFilename, BytePointer modelWeightsFilename) \overload
static TextDetectorCNN	create(BytePointer modelArchFilename, BytePointer modelWeightsFilename, SizeVector detectionSizes) \brief Creates an instance of the TextDetectorCNN class using the provided parameters.
static TextDetectorCNN	create(String modelArchFilename, String modelWeightsFilename)
static TextDetectorCNN	create(String modelArchFilename, String modelWeightsFilename, SizeVector detectionSizes)
void	detect(GpuMat inputImage, RectVector Bbox, FloatVector confidence)
void	detect(Mat inputImage, RectVector Bbox, FloatVector confidence) \overload
void	detect(UMat inputImage, RectVector Bbox, FloatVector confidence)

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

TextDetectorCNN

public TextDetectorCNN(Pointer p)

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

Method Detail

detect

public void detect(@ByVal
                   Mat inputImage,
                   @ByRef
                   RectVector Bbox,
                   @ByRef
                   FloatVector confidence)

\overload

Overrides:

detect in class TextDetector

Parameters:

inputImage - an image expected to be a CV_U8C3 of any size

Bbox - a vector of Rect that will store the detected word bounding box

confidence - a vector of float that will be updated with the confidence the classifier has for the selected bounding box

detect

public void detect(@ByVal
                   UMat inputImage,
                   @ByRef
                   RectVector Bbox,
                   @ByRef
                   FloatVector confidence)

Overrides:

detect in class TextDetector

detect

public void detect(@ByVal
                   GpuMat inputImage,
                   @ByRef
                   RectVector Bbox,
                   @ByRef
                   FloatVector confidence)

Overrides:

detect in class TextDetector

create

@opencv_core.Ptr
public static TextDetectorCNN create(@opencv_core.Str
                                                      BytePointer modelArchFilename,
                                                      @opencv_core.Str
                                                      BytePointer modelWeightsFilename,
                                                      @ByVal
                                                      SizeVector detectionSizes)

\brief Creates an instance of the TextDetectorCNN class using the provided parameters.

Parameters:

modelArchFilename - the relative or absolute path to the prototxt file describing the classifiers architecture.

modelWeightsFilename - the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.

detectionSizes - a list of sizes for multiscale detection. The values[(300,300),(700,500),(700,300),(700,700),(1600,1600)] are recommended in \cite LiaoSBWL17 to achieve the best quality.

create

@opencv_core.Ptr
public static TextDetectorCNN create(@opencv_core.Str
                                                      String modelArchFilename,
                                                      @opencv_core.Str
                                                      String modelWeightsFilename,
                                                      @ByVal
                                                      SizeVector detectionSizes)

create

@opencv_core.Ptr
public static TextDetectorCNN create(@opencv_core.Str
                                                      BytePointer modelArchFilename,
                                                      @opencv_core.Str
                                                      BytePointer modelWeightsFilename)

\overload

create

@opencv_core.Ptr
public static TextDetectorCNN create(@opencv_core.Str
                                                      String modelArchFilename,
                                                      @opencv_core.Str
                                                      String modelWeightsFilename)