Package 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 Modifier Constructor Description protected
TextDetectionModel_DB(long addr)
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.TextDetectionModel_DB(Net network)
Create text detection algorithm from deep learning network.
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static TextDetectionModel_DB
__fromPtr__(long addr)
protected void
finalize()
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
enableWinograd, getNativeObjAddr, predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB, setOutputNames, setPreferableBackend, setPreferableTarget
-
-
-
-
Constructor Detail
-
TextDetectionModel_DB
protected TextDetectionModel_DB(long addr)
-
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, java.lang.String config)
Create text detection model from network represented in one of the supported formats. An order ofmodel
andconfig
arguments does not matter.- Parameters:
model
- Binary file contains trained weights.config
- Text file contains network configuration.
-
TextDetectionModel_DB
public TextDetectionModel_DB(java.lang.String model)
Create text detection model from network represented in one of the supported formats. An order ofmodel
andconfig
arguments does not matter.- Parameters:
model
- Binary file contains trained weights.
-
-
Method Detail
-
__fromPtr__
public static TextDetectionModel_DB __fromPtr__(long addr)
-
setBinaryThreshold
public TextDetectionModel_DB setBinaryThreshold(float binaryThreshold)
-
getBinaryThreshold
public float getBinaryThreshold()
-
setPolygonThreshold
public TextDetectionModel_DB setPolygonThreshold(float polygonThreshold)
-
getPolygonThreshold
public float getPolygonThreshold()
-
setUnclipRatio
public TextDetectionModel_DB setUnclipRatio(double unclipRatio)
-
getUnclipRatio
public double getUnclipRatio()
-
setMaxCandidates
public TextDetectionModel_DB setMaxCandidates(int maxCandidates)
-
getMaxCandidates
public int getMaxCandidates()
-
finalize
protected void finalize() throws java.lang.Throwable
- Overrides:
finalize
in classTextDetectionModel
- Throws:
java.lang.Throwable
-
-