@Namespace(value="cv") @NoOffset @Properties(inherit=opencv_tracking.class) public class CvHaarEvaluator extends CvFeatureEvaluator
| Modifier and Type | Class and Description |
|---|---|
static class |
CvHaarEvaluator.FeatureHaar |
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
|---|
CvHaarEvaluator()
Default native constructor.
|
CvHaarEvaluator(long size)
Native array allocator.
|
CvHaarEvaluator(Pointer p)
Pointer cast constructor.
|
| Modifier and Type | Method and Description |
|---|---|
float |
apply(int featureIdx,
int sampleIdx) |
void |
generateFeatures() |
void |
generateFeatures(int numFeatures)
TODO new method
\brief Overload the original generateFeatures in order to limit the number of the features
|
CvHaarEvaluator.FeatureHaar |
getFeatures() |
CvHaarEvaluator.FeatureHaar |
getFeatures(int idx) |
void |
init(CvFeatureParams _featureParams,
int _maxSampleCount,
Size _winSize) |
CvHaarEvaluator |
position(long position) |
void |
setImage(Mat img) |
void |
setImage(Mat img,
byte clsLabel,
int idx) |
Size |
setWinSize() |
void |
setWinSize(Size patchSize) |
void |
writeFeature(FileStorage fs) |
void |
writeFeatures(FileStorage fs,
Mat featureMap) |
create, getCls, getCls, getFeatureSize, getMaxCatCount, getNumFeaturesaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic CvHaarEvaluator()
public CvHaarEvaluator(long size)
Pointer.position(long).public CvHaarEvaluator(Pointer p)
Pointer.Pointer(Pointer).public CvHaarEvaluator position(long position)
public void init(@Const CvFeatureParams _featureParams, int _maxSampleCount, @ByVal Size _winSize)
init in class CvFeatureEvaluatorpublic void setImage(@Const @ByRef Mat img, @Cast(value="uchar") byte clsLabel, int idx)
setImage in class CvFeatureEvaluator@Name(value="operator ()") public float apply(int featureIdx, int sampleIdx)
apply in class CvFeatureEvaluatorpublic void writeFeatures(@ByRef FileStorage fs, @Const @ByRef Mat featureMap)
writeFeatures in class CvFeatureEvaluatorpublic void writeFeature(@ByRef FileStorage fs)
@StdVector public CvHaarEvaluator.FeatureHaar getFeatures()
@ByRef public CvHaarEvaluator.FeatureHaar getFeatures(int idx)
public void generateFeatures()
public void generateFeatures(int numFeatures)
numFeatures - Number of the featuresCopyright © 2020. All rights reserved.