org.bytedeco.opencv.opencv_dnn

Class TextDetectionModel_EAST

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_dnn.Model

org.bytedeco.opencv.opencv_dnn.TextDetectionModel

org.bytedeco.opencv.opencv_dnn.TextDetectionModel_EAST

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::dnn")
 @Properties(inherit=opencv_dnn.class)
public class TextDetectionModel_EAST
extends TextDetectionModel

\brief This class represents high-level API for text detection DL networks compatible with EAST model. Configurable parameters: - (float) confThreshold - used to filter boxes by confidences, default: 0.5f - (float) nmsThreshold - used in non maximum suppression, default: 0.0f

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.opencv.opencv_dnn.Model

Model.Impl

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
TextDetectionModel_EAST()
TextDetectionModel_EAST(BytePointer model)
TextDetectionModel_EAST(BytePointer model, BytePointer config) \brief Create text detection model from network represented in one of the supported formats.
TextDetectionModel_EAST(long size) Native array allocator.
TextDetectionModel_EAST(Net network) \brief Create text detection algorithm from deep learning network
TextDetectionModel_EAST(Pointer p) Pointer cast constructor.
TextDetectionModel_EAST(String model)
TextDetectionModel_EAST(String model, String config)

Method Summary

Modifier and Type	Method and Description
float	getConfidenceThreshold() \brief Get the detection confidence threshold
float	getNMSThreshold() \brief Get the detection confidence threshold
TextDetectionModel_EAST	getPointer(long i)
TextDetectionModel_EAST	position(long position)
TextDetectionModel_EAST	setConfidenceThreshold(float confThreshold) \brief Set the detection confidence threshold
TextDetectionModel_EAST	setNMSThreshold(float nmsThreshold) \brief Set the detection NMS filter threshold

Methods inherited from class org.bytedeco.opencv.opencv_dnn.TextDetectionModel

detect, detect, detect, detect, detect, detect, detect, detect, detect, detect, detect, detect, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles, detectTextRectangles

Methods inherited from class org.bytedeco.opencv.opencv_dnn.Model

asNet, getImpl, getImplRef, getNetwork_, predict, predict, predict, predict, predict, predict, predict, predict, predict, put, setInputCrop, setInputMean, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB, setPreferableBackend, setPreferableTarget

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, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

TextDetectionModel_EAST

public TextDetectionModel_EAST(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

TextDetectionModel_EAST

public TextDetectionModel_EAST(long size)

Native array allocator. Access with Pointer.position(long).

TextDetectionModel_EAST

public TextDetectionModel_EAST()

TextDetectionModel_EAST

public TextDetectionModel_EAST(@Const @ByRef
                               Net network)

\brief Create text detection algorithm from deep learning network

Parameters:

network - [in] Net object

TextDetectionModel_EAST

public TextDetectionModel_EAST(@StdString
                               BytePointer model,
                               @StdString
                               BytePointer config)

\brief Create text detection model from network represented in one of the supported formats. An order of \p model and \p config arguments does not matter.

Parameters:

model - [in] Binary file contains trained weights.

config - [in] Text file contains network configuration.

TextDetectionModel_EAST

public TextDetectionModel_EAST(@StdString
                               BytePointer model)

TextDetectionModel_EAST

public TextDetectionModel_EAST(@StdString
                               String model,
                               @StdString
                               String config)

TextDetectionModel_EAST

public TextDetectionModel_EAST(@StdString
                               String model)

Method Detail

position

public TextDetectionModel_EAST position(long position)

Overrides:

position in class Model

getPointer

public TextDetectionModel_EAST getPointer(long i)

Overrides:

getPointer in class Model

setConfidenceThreshold

@ByRef
public TextDetectionModel_EAST setConfidenceThreshold(float confThreshold)

\brief Set the detection confidence threshold

Parameters:

confThreshold - [in] A threshold used to filter boxes by confidences

getConfidenceThreshold

public float getConfidenceThreshold()

\brief Get the detection confidence threshold

setNMSThreshold

@ByRef
public TextDetectionModel_EAST setNMSThreshold(float nmsThreshold)

\brief Set the detection NMS filter threshold

Parameters:

nmsThreshold - [in] A threshold used in non maximum suppression

getNMSThreshold

public float getNMSThreshold()

\brief Get the detection confidence threshold