StatModel.java
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.ml;
import org.opencv.core.Algorithm;
import org.opencv.core.Mat;
// C++: class StatModel
//javadoc: StatModel
public class StatModel extends Algorithm {
protected StatModel(long addr) { super(addr); }
public static final int
UPDATE_MODEL = 1,
RAW_OUTPUT = 1,
COMPRESSED_INPUT = 2,
PREPROCESSED_INPUT = 4;
//
// C++: bool empty()
//
//javadoc: StatModel::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: bool isClassifier()
//
//javadoc: StatModel::isClassifier()
public boolean isClassifier()
{
boolean retVal = isClassifier_0(nativeObj);
return retVal;
}
//
// C++: bool isTrained()
//
//javadoc: StatModel::isTrained()
public boolean isTrained()
{
boolean retVal = isTrained_0(nativeObj);
return retVal;
}
//
// C++: bool train(Mat samples, int layout, Mat responses)
//
//javadoc: StatModel::train(samples, layout, responses)
public boolean train(Mat samples, int layout, Mat responses)
{
boolean retVal = train_0(nativeObj, samples.nativeObj, layout, responses.nativeObj);
return retVal;
}
//
// C++: bool train(Ptr_TrainData trainData, int flags = 0)
//
//javadoc: StatModel::train(trainData, flags)
public boolean train(TrainData trainData, int flags)
{
boolean retVal = train_1(nativeObj, trainData.getNativeObjAddr(), flags);
return retVal;
}
//javadoc: StatModel::train(trainData)
public boolean train(TrainData trainData)
{
boolean retVal = train_2(nativeObj, trainData.getNativeObjAddr());
return retVal;
}
//
// C++: float calcError(Ptr_TrainData data, bool test, Mat& resp)
//
//javadoc: StatModel::calcError(data, test, resp)
public float calcError(TrainData data, boolean test, Mat resp)
{
float retVal = calcError_0(nativeObj, data.getNativeObjAddr(), test, resp.nativeObj);
return retVal;
}
//
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
//
//javadoc: StatModel::predict(samples, results, flags)
public float predict(Mat samples, Mat results, int flags)
{
float retVal = predict_0(nativeObj, samples.nativeObj, results.nativeObj, flags);
return retVal;
}
//javadoc: StatModel::predict(samples)
public float predict(Mat samples)
{
float retVal = predict_1(nativeObj, samples.nativeObj);
return retVal;
}
//
// C++: int getVarCount()
//
//javadoc: StatModel::getVarCount()
public int getVarCount()
{
int retVal = getVarCount_0(nativeObj);
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: bool isClassifier()
private static native boolean isClassifier_0(long nativeObj);
// C++: bool isTrained()
private static native boolean isTrained_0(long nativeObj);
// C++: bool train(Mat samples, int layout, Mat responses)
private static native boolean train_0(long nativeObj, long samples_nativeObj, int layout, long responses_nativeObj);
// C++: bool train(Ptr_TrainData trainData, int flags = 0)
private static native boolean train_1(long nativeObj, long trainData_nativeObj, int flags);
private static native boolean train_2(long nativeObj, long trainData_nativeObj);
// C++: float calcError(Ptr_TrainData data, bool test, Mat& resp)
private static native float calcError_0(long nativeObj, long data_nativeObj, boolean test, long resp_nativeObj);
// C++: float predict(Mat samples, Mat& results = Mat(), int flags = 0)
private static native float predict_0(long nativeObj, long samples_nativeObj, long results_nativeObj, int flags);
private static native float predict_1(long nativeObj, long samples_nativeObj);
// C++: int getVarCount()
private static native int getVarCount_0(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}