org.opencv.dnn

Class TextDetectionModel_DB

java.lang.Object

org.opencv.dnn.Model

org.opencv.dnn.TextDetectionModel

org.opencv.dnn.TextDetectionModel_DB

public class TextDetectionModel_DB
extends TextDetectionModel

This class represents high-level API for text detection DL networks compatible with DB model. Related publications: CITE: liao2020real Paper: https://arxiv.org/abs/1911.08947 For more information about the hyper-parameters setting, please refer to https://github.com/MhLiao/DB Configurable parameters: - (float) binaryThreshold - The threshold of the binary map. It is usually set to 0.3. - (float) polygonThreshold - The threshold of text polygons. It is usually set to 0.5, 0.6, and 0.7. Default is 0.5f - (double) unclipRatio - The unclip ratio of the detected text region, which determines the output size. It is usually set to 2.0. - (int) maxCandidates - The max number of the output results.

Constructor Summary

Constructors

Constructor and Description
TextDetectionModel_DB(Net network) Create text detection algorithm from deep learning network.
TextDetectionModel_DB(java.lang.String model) Create text detection model from network represented in one of the supported formats.
TextDetectionModel_DB(java.lang.String model, java.lang.String config) Create text detection model from network represented in one of the supported formats.

Method Summary

Modifier and Type	Method and Description
static TextDetectionModel_DB	__fromPtr__(long addr)
float	getBinaryThreshold()
int	getMaxCandidates()
float	getPolygonThreshold()
double	getUnclipRatio()
TextDetectionModel_DB	setBinaryThreshold(float binaryThreshold)
TextDetectionModel_DB	setMaxCandidates(int maxCandidates)
TextDetectionModel_DB	setPolygonThreshold(float polygonThreshold)
TextDetectionModel_DB	setUnclipRatio(double unclipRatio)

Methods inherited from class org.opencv.dnn.TextDetectionModel

detect, detect, detectTextRectangles, detectTextRectangles

Methods inherited from class org.opencv.dnn.Model

getNativeObjAddr, predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB, setPreferableBackend, setPreferableTarget

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

TextDetectionModel_DB

public TextDetectionModel_DB(Net network)

Create text detection algorithm from deep learning network.

Parameters:

network - Net object.

TextDetectionModel_DB

public TextDetectionModel_DB(java.lang.String model)

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

Parameters:

model - Binary file contains trained weights.

TextDetectionModel_DB

public TextDetectionModel_DB(java.lang.String model,
                             java.lang.String config)

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

Parameters:

model - Binary file contains trained weights.

config - Text file contains network configuration.

Method Detail

__fromPtr__

public static TextDetectionModel_DB __fromPtr__(long addr)

getBinaryThreshold

public float getBinaryThreshold()

getMaxCandidates

public int getMaxCandidates()

getPolygonThreshold

public float getPolygonThreshold()

getUnclipRatio

public double getUnclipRatio()

setBinaryThreshold

public TextDetectionModel_DB setBinaryThreshold(float binaryThreshold)

setMaxCandidates

public TextDetectionModel_DB setMaxCandidates(int maxCandidates)

setPolygonThreshold

public TextDetectionModel_DB setPolygonThreshold(float polygonThreshold)

setUnclipRatio

public TextDetectionModel_DB setUnclipRatio(double unclipRatio)