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

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_EAST

public TextDetectionModel_EAST(Net network)

Create text detection algorithm from deep learning network

Parameters:

network - Net object

TextDetectionModel_EAST

public TextDetectionModel_EAST(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_EAST

public TextDetectionModel_EAST(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_EAST __fromPtr__(long addr)

getConfidenceThreshold

public float getConfidenceThreshold()

Get the detection confidence threshold

Returns:

automatically generated

getNMSThreshold

public float getNMSThreshold()

Get the detection confidence threshold

Returns:

automatically generated

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

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