Package org.opencv.objdetect

Class CCheckerDetector

java.lang.Object

org.opencv.core.Algorithm

org.opencv.objdetect.CCheckerDetector

public class CCheckerDetector
extends Algorithm

A class to find the positions of the ColorCharts in the image.

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	CCheckerDetector(long addr)

Method Summary

Modifier and Type	Method	Description
static CCheckerDetector	__fromPtr__(long addr)
static CCheckerDetector	create()	Returns the implementation of the CCheckerDetector.
static CCheckerDetector	create(Net net)	Set the net which will be used to find the approximate bounding boxes for the color charts.
protected void	finalize()
DetectorParametersMCC	getDetectionParams()
Mat	getRefColors()	Gets the reference color for chart.
boolean	getUseDnnModel()
boolean	process(Mat image)	Find the ColorCharts in the given image.
boolean	process(Mat image, int nc)	Find the ColorCharts in the given image.
boolean	processWithROI(Mat image, MatOfRect regionsOfInterest)	Find the ColorCharts in the given image.
boolean	processWithROI(Mat image, MatOfRect regionsOfInterest, int nc)	Find the ColorCharts in the given image.
void	setDetectionParams(DetectorParametersMCC params)	Sets the detection paramaters for mcc.
void	setUseDnnModel(boolean useDnn)	Enables or disables the use of the neural network for detection.

Methods inherited from class org.opencv.core.Algorithm

clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

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

Constructor Detail

CCheckerDetector

protected CCheckerDetector(long addr)

Method Detail

__fromPtr__

public static CCheckerDetector __fromPtr__(long addr)

processWithROI

public boolean processWithROI(Mat image,
                              MatOfRect regionsOfInterest,
                              int nc)

Find the ColorCharts in the given image. The found charts are not returned but instead stored in the detector, these can be accessed later on using getBestColorChecker() and getListColorChecker()

Parameters:

image - image in color space BGR

regionsOfInterest - regions of image to look for the chart, if it is empty, charts are looked for in the entire image

nc - number of charts in the image, if you don't know the exact then keeping this number high helps.

Returns:

true if atleast one chart is detected otherwise false

processWithROI

public boolean processWithROI(Mat image,
                              MatOfRect regionsOfInterest)

Find the ColorCharts in the given image. The found charts are not returned but instead stored in the detector, these can be accessed later on using getBestColorChecker() and getListColorChecker()

Parameters:

image - image in color space BGR

regionsOfInterest - regions of image to look for the chart, if it is empty, charts are looked for in the entire image then keeping this number high helps.

Returns:

true if atleast one chart is detected otherwise false

process

public boolean process(Mat image,
                       int nc)

Find the ColorCharts in the given image. Differs from the above one only in the arguments. This version searches for the chart in the full image. The found charts are not returned but instead stored in the detector, these can be accessed later on using getBestColorChecker() and getListColorChecker()

Parameters:

image - image in color space BGR

nc - number of charts in the image, if you don't know the exact then keeping this number high helps.

Returns:

true if atleast one chart is detected otherwise false

process

public boolean process(Mat image)

Find the ColorCharts in the given image. Differs from the above one only in the arguments. This version searches for the chart in the full image. The found charts are not returned but instead stored in the detector, these can be accessed later on using getBestColorChecker() and getListColorChecker()

Parameters:

image - image in color space BGR then keeping this number high helps.

Returns:

true if atleast one chart is detected otherwise false

create

public static CCheckerDetector create()

Returns the implementation of the CCheckerDetector.

Returns:

automatically generated

create

public static CCheckerDetector create(Net net)

Set the net which will be used to find the approximate bounding boxes for the color charts. And returns the implementation of the CCheckerDetector. It is not necessary to use this, but this usually results in better detection rate.

Parameters:

net - the neural network, if the network in empty, then the function will return false.

Returns:

automatically generated

getRefColors

public Mat getRefColors()

Gets the reference color for chart.

Returns:

automatically generated

setDetectionParams

public void setDetectionParams(DetectorParametersMCC params)

Sets the detection paramaters for mcc.

Parameters:

params - DetectorParametersMCC structure containing detection configuration parameters.

setUseDnnModel

public void setUseDnnModel(boolean useDnn)

Enables or disables the use of the neural network for detection.

Parameters:

useDnn - Boolean flag to indicate whether to use neural network (true) or not (false).

getUseDnnModel

public boolean getUseDnnModel()

getDetectionParams

public DetectorParametersMCC getDetectionParams()

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class Algorithm

Throws:

java.lang.Throwable