CascadeClassifier.java
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//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.objdetect;
import java.lang.String;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfRect;
import org.opencv.core.Size;
import org.opencv.utils.Converters;
// C++: class CascadeClassifier
//javadoc: CascadeClassifier
public class CascadeClassifier {
protected final long nativeObj;
protected CascadeClassifier(long addr) { nativeObj = addr; }
public long getNativeObjAddr() { return nativeObj; }
//
// C++: CascadeClassifier(String filename)
//
//javadoc: CascadeClassifier::CascadeClassifier(filename)
public CascadeClassifier(String filename)
{
nativeObj = CascadeClassifier_0(filename);
return;
}
//
// C++: CascadeClassifier()
//
//javadoc: CascadeClassifier::CascadeClassifier()
public CascadeClassifier()
{
nativeObj = CascadeClassifier_1();
return;
}
//
// C++: Size getOriginalWindowSize()
//
//javadoc: CascadeClassifier::getOriginalWindowSize()
public Size getOriginalWindowSize()
{
Size retVal = new Size(getOriginalWindowSize_0(nativeObj));
return retVal;
}
//
// C++: static bool convert(String oldcascade, String newcascade)
//
//javadoc: CascadeClassifier::convert(oldcascade, newcascade)
public static boolean convert(String oldcascade, String newcascade)
{
boolean retVal = convert_0(oldcascade, newcascade);
return retVal;
}
//
// C++: bool empty()
//
//javadoc: CascadeClassifier::empty()
public boolean empty()
{
boolean retVal = empty_0(nativeObj);
return retVal;
}
//
// C++: bool isOldFormatCascade()
//
//javadoc: CascadeClassifier::isOldFormatCascade()
public boolean isOldFormatCascade()
{
boolean retVal = isOldFormatCascade_0(nativeObj);
return retVal;
}
//
// C++: bool load(String filename)
//
//javadoc: CascadeClassifier::load(filename)
public boolean load(String filename)
{
boolean retVal = load_0(nativeObj, filename);
return retVal;
}
//
// C++: bool read(FileNode node)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: int getFeatureType()
//
//javadoc: CascadeClassifier::getFeatureType()
public int getFeatureType()
{
int retVal = getFeatureType_0(nativeObj);
return retVal;
}
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, scaleFactor, minNeighbors, flags, minSize, maxSize)
public void detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
Mat objects_mat = objects;
detectMultiScale_0(nativeObj, image.nativeObj, objects_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);
return;
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects)
public void detectMultiScale(Mat image, MatOfRect objects)
{
Mat objects_mat = objects;
detectMultiScale_1(nativeObj, image.nativeObj, objects_mat.nativeObj);
return;
}
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& numDetections, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, numDetections, scaleFactor, minNeighbors, flags, minSize, maxSize)
public void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
Mat objects_mat = objects;
Mat numDetections_mat = numDetections;
detectMultiScale2_0(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);
return;
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects, numDetections)
public void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections)
{
Mat objects_mat = objects;
Mat numDetections_mat = numDetections;
detectMultiScale2_1(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj);
return;
}
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& rejectLevels, vector_double& levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size(), bool outputRejectLevels = false)
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, rejectLevels, levelWeights, scaleFactor, minNeighbors, flags, minSize, maxSize, outputRejectLevels)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize, boolean outputRejectLevels)
{
Mat objects_mat = objects;
Mat rejectLevels_mat = rejectLevels;
Mat levelWeights_mat = levelWeights;
detectMultiScale3_0(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height, outputRejectLevels);
return;
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects, rejectLevels, levelWeights)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights)
{
Mat objects_mat = objects;
Mat rejectLevels_mat = rejectLevels;
Mat levelWeights_mat = levelWeights;
detectMultiScale3_1(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj);
return;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: CascadeClassifier(String filename)
private static native long CascadeClassifier_0(String filename);
// C++: CascadeClassifier()
private static native long CascadeClassifier_1();
// C++: Size getOriginalWindowSize()
private static native double[] getOriginalWindowSize_0(long nativeObj);
// C++: static bool convert(String oldcascade, String newcascade)
private static native boolean convert_0(String oldcascade, String newcascade);
// C++: bool empty()
private static native boolean empty_0(long nativeObj);
// C++: bool isOldFormatCascade()
private static native boolean isOldFormatCascade_0(long nativeObj);
// C++: bool load(String filename)
private static native boolean load_0(long nativeObj, String filename);
// C++: int getFeatureType()
private static native int getFeatureType_0(long nativeObj);
// C++: void detectMultiScale(Mat image, vector_Rect& objects, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
private static native void detectMultiScale_0(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, double scaleFactor, int minNeighbors, int flags, double minSize_width, double minSize_height, double maxSize_width, double maxSize_height);
private static native void detectMultiScale_1(long nativeObj, long image_nativeObj, long objects_mat_nativeObj);
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& numDetections, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
private static native void detectMultiScale2_0(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long numDetections_mat_nativeObj, double scaleFactor, int minNeighbors, int flags, double minSize_width, double minSize_height, double maxSize_width, double maxSize_height);
private static native void detectMultiScale2_1(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long numDetections_mat_nativeObj);
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& rejectLevels, vector_double& levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size(), bool outputRejectLevels = false)
private static native void detectMultiScale3_0(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long rejectLevels_mat_nativeObj, long levelWeights_mat_nativeObj, double scaleFactor, int minNeighbors, int flags, double minSize_width, double minSize_height, double maxSize_width, double maxSize_height, boolean outputRejectLevels);
private static native void detectMultiScale3_1(long nativeObj, long image_nativeObj, long objects_mat_nativeObj, long rejectLevels_mat_nativeObj, long levelWeights_mat_nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}