@Namespace(value="cv::cuda") @Properties(inherit=opencv_cudaimgproc.class) public class CornernessCriteria extends Algorithm
////////////////////////// Corners Detection ///////////////////////////
\addtogroup cudaimgproc_feature \{
/** \brief Base class for Cornerness Criteria computation. :
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
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CornernessCriteria(Pointer p)
Pointer cast constructor.
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Modifier and Type | Method and Description |
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void |
compute(GpuMat src,
GpuMat dst) |
void |
compute(GpuMat src,
GpuMat dst,
Stream stream) |
void |
compute(Mat src,
Mat dst) |
void |
compute(Mat src,
Mat dst,
Stream stream)
\brief Computes the cornerness criteria at each image pixel.
|
void |
compute(UMat src,
UMat dst) |
void |
compute(UMat src,
UMat dst,
Stream stream) |
clear, empty, getDefaultName, position, read, save, save, write, write, write
address, 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, zero
public CornernessCriteria(Pointer p)
Pointer.Pointer(Pointer)
.public void compute(@ByVal Mat src, @ByVal Mat dst, @ByRef(nullValue="cv::cuda::Stream::Null()") Stream stream)
src
- Source image.dst
- Destination image containing cornerness values. It will have the same size as src and
CV_32FC1 type.stream
- Stream for the asynchronous version.public void compute(@ByVal UMat src, @ByVal UMat dst, @ByRef(nullValue="cv::cuda::Stream::Null()") Stream stream)
public void compute(@ByVal GpuMat src, @ByVal GpuMat dst, @ByRef(nullValue="cv::cuda::Stream::Null()") Stream stream)
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