Package org.opencv.dnn

Class TextDetectionModel_EAST

java.lang.Object

org.opencv.dnn.Model

org.opencv.dnn.TextDetectionModel

org.opencv.dnn.TextDetectionModel_EAST

public class TextDetectionModel_EAST
extends TextDetectionModel

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
static TextDetectionModel_EAST	__fromPtr__(long addr)
float	getConfidenceThreshold()	Get the detection confidence threshold
float	getNMSThreshold()	Get the detection confidence threshold
TextDetectionModel_EAST	setConfidenceThreshold(float confThreshold)	Set the detection confidence threshold
TextDetectionModel_EAST	setNMSThreshold(float nmsThreshold)	Set the detection NMS filter threshold

Methods inherited from class org.opencv.dnn.TextDetectionModel

detect, detect, detectTextRectangles, detectTextRectangles

Methods inherited from class org.opencv.dnn.Model

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

Methods inherited from class java.lang.Object

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

Constructor Details

TextDetectionModel_EAST

public TextDetectionModel_EAST(Net network)

Create text detection algorithm from deep learning network

Parameters:

network - Net object

TextDetectionModel_EAST

public TextDetectionModel_EAST(String model,
 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.

TextDetectionModel_EAST

public TextDetectionModel_EAST(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.

Method Details

__fromPtr__

public static TextDetectionModel_EAST __fromPtr__(long addr)

setConfidenceThreshold

public TextDetectionModel_EAST setConfidenceThreshold(float confThreshold)

Set the detection confidence threshold

Parameters:

confThreshold - A threshold used to filter boxes by confidences

Returns:

automatically generated

getConfidenceThreshold

public float getConfidenceThreshold()

Get the detection confidence threshold

Returns:

automatically generated

setNMSThreshold

public TextDetectionModel_EAST setNMSThreshold(float nmsThreshold)

Set the detection NMS filter threshold

Parameters:

nmsThreshold - A threshold used in non maximum suppression

Returns:

automatically generated

getNMSThreshold

public float getNMSThreshold()

Get the detection confidence threshold

Returns:

automatically generated