Modules
	NPPST Core

	NPPST Image Processing

	NPPST Signal Processing

Namespaces
namespace	NcvCTprep

Classes
class	cv::cuda::BackgroundSubtractorFGD
	The class discriminates between foreground and background pixels by building and maintaining a model of the background. More...

class	cv::cuda::BackgroundSubtractorGMG
	Background/Foreground Segmentation Algorithm. More...

class	cv::cuda::FastOpticalFlowBM

struct	cv::cuda::FGDParams

struct	HaarClassifierCascadeDescriptor

struct	HaarClassifierNode128

struct	HaarClassifierNodeDescriptor32

struct	HaarFeature64

struct	HaarFeatureDescriptor32

struct	HaarStage64

class	cv::cuda::ImagePyramid

class	INCVMemAllocator

struct	NCVBroxOpticalFlowDescriptor
	Model and solver parameters. More...

class	NCVMatrix< T >

class	NCVMatrixAlloc< T >

class	NCVMatrixReuse< T >

class	NCVMemNativeAllocator

struct	NCVMemPtr

struct	NCVMemSegment

class	NCVMemStackAllocator

struct	NcvPoint2D32s

struct	NcvPoint2D32u

struct	NcvRect32s

struct	NcvRect32u

struct	NcvRect8u

struct	NcvSize32s

struct	NcvSize32u

class	NCVVector< T >

class	NCVVectorAlloc< T >

class	NCVVectorReuse< T >

Macros
#define	CLAMP(x, a, b) ( (x) > (b) ? (b) : ( (x) < (a) ? (a) : (x) ) )

#define	CLAMP_0_255(x) CLAMP(x,0,255)

#define	CLAMP_BOTTOM(x, a) (((x) < (a)) ? (a) : (x))

#define	CLAMP_TOP(x, a) (((x) > (a)) ? (a) : (x))

#define	HAAR_STDDEV_BORDER 1

#define	NCV_CT_ASSERT(X)

#define	NCV_CT_PREP_PASTE(a, b) NCV_CT_PREP_PASTE_AUX(a, b)
	Concatenation macro.

#define	NCV_CT_PREP_PASTE_AUX(a, b) a##b
	Concatenation indirection macro.

#define	NCV_RESET_SKIP_COND(x) __ncv_skip_cond = x

#define	NCV_SET_SKIP_COND(x) bool __ncv_skip_cond = x

#define	NCV_SKIP_COND_BEGIN if (!__ncv_skip_cond) {

#define	NCV_SKIP_COND_END }

#define	ncvAssertCUDALastErrorReturn(errCode)

#define	ncvAssertCUDAReturn(cudacall, errCode)

#define	ncvAssertPrintCheck(pred, msg)

#define	ncvAssertPrintReturn(pred, msg, err)

#define	ncvAssertReturn(pred, err)

#define	ncvAssertReturnNcvStat(ncvOp)

#define	ncvSafeMatAlloc(name, type, alloc, width, height, err)

#define	OBJDET_MASK_ELEMENT_INVALID_32U 0xFFFFFFFF

#define	RECT_SIMILARITY_PROPORTION 0.2f

#define	SQR(x) ((x)*(x))

#define	SUB_BEGIN(type, name) struct { __inline type name

#define	SUB_CALL(name) name.name

#define	SUB_END(name) } name;

Typedefs
typedef short	Ncv16s

typedef unsigned short	Ncv16u

typedef float	Ncv32f

typedef Ncv32f	Ncv32f_a

typedef int	Ncv32s

typedef unsigned int	Ncv32u

typedef Ncv32u	Ncv32u_a

typedef double	Ncv64f

typedef long long	Ncv64s

typedef unsigned long long	Ncv64u

typedef signed char	Ncv8s

typedef unsigned char	Ncv8u

typedef bool	NcvBool

typedef void	NCVDebugOutputHandler (const cv::String &msg)

typedef Ncv32u	NCVStatus

typedef struct _NcvTimer *	NcvTimer

Enumerations
enum	{ NCV_SUCCESS, NCV_UNKNOWN_ERROR, NCV_CUDA_ERROR, NCV_NPP_ERROR, NCV_FILE_ERROR, NCV_NULL_PTR, NCV_INCONSISTENT_INPUT, NCV_TEXTURE_BIND_ERROR, NCV_DIMENSIONS_INVALID, NCV_INVALID_ROI, NCV_INVALID_STEP, NCV_INVALID_SCALE, NCV_ALLOCATOR_NOT_INITIALIZED, NCV_ALLOCATOR_BAD_ALLOC, NCV_ALLOCATOR_BAD_DEALLOC, NCV_ALLOCATOR_INSUFFICIENT_CAPACITY, NCV_ALLOCATOR_DEALLOC_ORDER, NCV_ALLOCATOR_BAD_REUSE, NCV_MEM_COPY_ERROR, NCV_MEM_RESIDENCE_ERROR, NCV_MEM_INSUFFICIENT_CAPACITY, NCV_HAAR_INVALID_PIXEL_STEP, NCV_HAAR_TOO_MANY_FEATURES_IN_CLASSIFIER, NCV_HAAR_TOO_MANY_FEATURES_IN_CASCADE, NCV_HAAR_TOO_LARGE_FEATURES, NCV_HAAR_XML_LOADING_EXCEPTION, NCV_NOIMPL_HAAR_TILTED_FEATURES, NCV_NOT_IMPLEMENTED, NCV_WARNING_HAAR_DETECTIONS_VECTOR_OVERFLOW, NPPST_SUCCESS = NCV_SUCCESS, NPPST_ERROR, NPPST_CUDA_KERNEL_EXECUTION_ERROR, NPPST_NULL_POINTER_ERROR, NPPST_TEXTURE_BIND_ERROR, NPPST_MEMCPY_ERROR, NPPST_MEM_ALLOC_ERR, NPPST_MEMFREE_ERR, NPPST_INVALID_ROI, NPPST_INVALID_STEP, NPPST_INVALID_SCALE, NPPST_MEM_INSUFFICIENT_BUFFER, NPPST_MEM_RESIDENCE_ERROR, NPPST_MEM_INTERNAL_ERROR, NCV_LAST_STATUS }

enum	{ NCVPipeObjDet_Default = 0x000, NCVPipeObjDet_UseFairImageScaling = 0x001, NCVPipeObjDet_FindLargestObject = 0x002, NCVPipeObjDet_VisualizeInPlace = 0x004 }

enum	NCVMemoryType { NCVMemoryTypeNone, NCVMemoryTypeHostPageable, NCVMemoryTypeHostPinned, NCVMemoryTypeDevice }

Functions
virtual	INCVMemAllocator::~INCVMemAllocator ()=0

Ncv32u	alignUp (Ncv32u what, Ncv32u alignment)

void	cv::cuda::calcOpticalFlowBM (const GpuMat &prev, const GpuMat &curr, Size block_size, Size shift_size, Size max_range, bool use_previous, GpuMat &velx, GpuMat &vely, GpuMat &buf, Stream &stream=Stream::Null())
	Calculates optical flow for 2 images using block matching algorithm */.

brief Compute optical flow Based on method by Brox et al [2004] param[in] desc model and solver parameters param[in] gpu_mem_allocator GPU memory allocator param[in] frame0 source frame param[in] frame1 frame to track param[out] u flow horizontal	component (along\b x axis)\param[out] v flow vertical component(along\b y axis)\param stream \return computation status */NCVStatus NCVBroxOpticalFlow(const NCVBroxOpticalFlowDescriptor desc

void	cv::cuda::connectivityMask (const GpuMat &image, GpuMat &mask, const cv::Scalar &lo, const cv::Scalar &hi, Stream &stream=Stream::Null())
	compute mask for Generalized Flood fill componetns labeling.

Ptr < cuda::BackgroundSubtractorFGD >	cv::cuda::createBackgroundSubtractorFGD (const FGDParams &params=FGDParams())
	Creates FGD Background Subtractor.

Ptr < cuda::BackgroundSubtractorGMG >	cv::cuda::createBackgroundSubtractorGMG (int initializationFrames=120, double decisionThreshold=0.8)
	Creates GMG Background Subtractor.

Ptr< ImagePyramid >	cv::cuda::createImagePyramid (InputArray img, int nLayers=-1, Stream &stream=Stream::Null())

void	cv::cuda::createOpticalFlowNeedleMap (const GpuMat &u, const GpuMat &v, GpuMat &vertex, GpuMat &colors)

void	cv::cuda::graphcut (GpuMat &terminals, GpuMat &leftTransp, GpuMat &rightTransp, GpuMat &top, GpuMat &bottom, GpuMat &labels, GpuMat &buf, Stream &stream=Stream::Null())
	performs labeling via graph cuts of a 2D regular 4-connected graph.

void	cv::cuda::graphcut (GpuMat &terminals, GpuMat &leftTransp, GpuMat &rightTransp, GpuMat &top, GpuMat &topLeft, GpuMat &topRight, GpuMat &bottom, GpuMat &bottomLeft, GpuMat &bottomRight, GpuMat &labels, GpuMat &buf, Stream &stream=Stream::Null())
	performs labeling via graph cuts of a 2D regular 8-connected graph.

void	cv::cuda::interpolateFrames (const GpuMat &frame0, const GpuMat &frame1, const GpuMat &fu, const GpuMat &fv, const GpuMat &bu, const GpuMat &bv, float pos, GpuMat &newFrame, GpuMat &buf, Stream &stream=Stream::Null())
	Interpolates frames (images) using provided optical flow (displacement field).

void	cv::cuda::labelComponents (const GpuMat &mask, GpuMat &components, int flags=0, Stream &stream=Stream::Null())
	performs connected componnents labeling.

NCVStatus	memSegCopyHelper (void dst, NCVMemoryType dstType, const void src, NCVMemoryType srcType, size_t sz, cudaStream_t cuStream)

NCVStatus	memSegCopyHelper2D (void dst, Ncv32u dstPitch, NCVMemoryType dstType, const void src, Ncv32u srcPitch, NCVMemoryType srcType, Ncv32u widthbytes, Ncv32u height, cudaStream_t cuStream)

	NCV_CT_ASSERT (sizeof(HaarFeature64)==8)

	NCV_CT_ASSERT (sizeof(HaarFeatureDescriptor32)==4)

	NCV_CT_ASSERT (sizeof(HaarClassifierNodeDescriptor32)==4)

	NCV_CT_ASSERT (sizeof(HaarClassifierNode128)==16)

	NCV_CT_ASSERT (sizeof(HaarStage64)==8)

NCVStatus	ncvApplyHaarClassifierCascade_device (NCVMatrix< Ncv32u > &d_integralImage, NCVMatrix< Ncv32f > &d_weights, NCVMatrixAlloc< Ncv32u > &d_pixelMask, Ncv32u &numDetections, HaarClassifierCascadeDescriptor &haar, NCVVector< HaarStage64 > &h_HaarStages, NCVVector< HaarStage64 > &d_HaarStages, NCVVector< HaarClassifierNode128 > &d_HaarNodes, NCVVector< HaarFeature64 > &d_HaarFeatures, NcvBool bMaskElements, NcvSize32u anchorsRoi, Ncv32u pixelStep, Ncv32f scaleArea, INCVMemAllocator &gpuAllocator, INCVMemAllocator &cpuAllocator, cudaDeviceProp &devProp, cudaStream_t cuStream)

NCVStatus	ncvApplyHaarClassifierCascade_host (NCVMatrix< Ncv32u > &h_integralImage, NCVMatrix< Ncv32f > &h_weights, NCVMatrixAlloc< Ncv32u > &h_pixelMask, Ncv32u &numDetections, HaarClassifierCascadeDescriptor &haar, NCVVector< HaarStage64 > &h_HaarStages, NCVVector< HaarClassifierNode128 > &h_HaarNodes, NCVVector< HaarFeature64 > &h_HaarFeatures, NcvBool bMaskElements, NcvSize32u anchorsRoi, Ncv32u pixelStep, Ncv32f scaleArea)

void	ncvDebugOutput (const cv::String &msg)

NCVStatus	ncvDetectObjectsMultiScale_device (NCVMatrix< Ncv8u > &d_srcImg, NcvSize32u srcRoi, NCVVector< NcvRect32u > &d_dstRects, Ncv32u &dstNumRects, HaarClassifierCascadeDescriptor &haar, NCVVector< HaarStage64 > &h_HaarStages, NCVVector< HaarStage64 > &d_HaarStages, NCVVector< HaarClassifierNode128 > &d_HaarNodes, NCVVector< HaarFeature64 > &d_HaarFeatures, NcvSize32u minObjSize, Ncv32u minNeighbors, Ncv32f scaleStep, Ncv32u pixelStep, Ncv32u flags, INCVMemAllocator &gpuAllocator, INCVMemAllocator &cpuAllocator, cudaDeviceProp &devProp, cudaStream_t cuStream)

NCVStatus	ncvDrawRects_32u_device (Ncv32u d_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight, NcvRect32u d_rects, Ncv32u numRects, Ncv32u color, cudaStream_t cuStream)

NCVStatus	ncvDrawRects_32u_host (Ncv32u h_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight, NcvRect32u h_rects, Ncv32u numRects, Ncv32u color)

NCVStatus	ncvDrawRects_8u_device (Ncv8u d_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight, NcvRect32u d_rects, Ncv32u numRects, Ncv8u color, cudaStream_t cuStream)

NCVStatus	ncvDrawRects_8u_host (Ncv8u h_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight, NcvRect32u h_rects, Ncv32u numRects, Ncv8u color)

double	ncvEndQueryTimerMs (NcvTimer t)

double	ncvEndQueryTimerUs (NcvTimer t)

NCVStatus	ncvGroupRectangles_host (NCVVector< NcvRect32u > &hypotheses, Ncv32u &numHypotheses, Ncv32u minNeighbors, Ncv32f intersectEps, NCVVector< Ncv32u > *hypothesesWeights)

NCVStatus	ncvGrowDetectionsVector_device (NCVVector< Ncv32u > &pixelMask, Ncv32u numPixelMaskDetections, NCVVector< NcvRect32u > &hypotheses, Ncv32u &totalDetections, Ncv32u totalMaxDetections, Ncv32u rectWidth, Ncv32u rectHeight, Ncv32f curScale, cudaStream_t cuStream)

NCVStatus	ncvGrowDetectionsVector_host (NCVVector< Ncv32u > &pixelMask, Ncv32u numPixelMaskDetections, NCVVector< NcvRect32u > &hypotheses, Ncv32u &totalDetections, Ncv32u totalMaxDetections, Ncv32u rectWidth, Ncv32u rectHeight, Ncv32f curScale)

NCVStatus	ncvHaarGetClassifierSize (const cv::String &filename, Ncv32u &numStages, Ncv32u &numNodes, Ncv32u &numFeatures)

NCVStatus	ncvHaarLoadFromFile_host (const cv::String &filename, HaarClassifierCascadeDescriptor &haar, NCVVector< HaarStage64 > &h_HaarStages, NCVVector< HaarClassifierNode128 > &h_HaarNodes, NCVVector< HaarFeature64 > &h_HaarFeatures)

NCVStatus	ncvHaarStoreNVBIN_host (const cv::String &filename, HaarClassifierCascadeDescriptor haar, NCVVector< HaarStage64 > &h_HaarStages, NCVVector< HaarClassifierNode128 > &h_HaarNodes, NCVVector< HaarFeature64 > &h_HaarFeatures)

void	ncvSetDebugOutputHandler (NCVDebugOutputHandler *func)

NcvTimer	ncvStartTimer (void)

void	cv::cuda::projectPoints (const GpuMat &src, const Mat &rvec, const Mat &tvec, const Mat &camera_mat, const Mat &dist_coef, GpuMat &dst, Stream &stream=Stream::Null())

void	cv::cuda::solvePnPRansac (const Mat &object, const Mat &image, const Mat &camera_mat, const Mat &dist_coef, Mat &rvec, Mat &tvec, bool use_extrinsic_guess=false, int num_iters=100, float max_dist=8.0, int min_inlier_count=100, std::vector< int > *inliers=NULL)
	Finds the object pose from 3D-2D point correspondences.

void	cv::cuda::transformPoints (const GpuMat &src, const Mat &rvec, const Mat &tvec, GpuMat &dst, Stream &stream=Stream::Null())

Variables
brief Compute optical flow Based on method by Brox et al [2004] param[in] desc model and solver parameters param[in] gpu_mem_allocator GPU memory allocator param[in] frame0 source frame param[in] frame1 frame to track param[out] u flow horizontal INCVMemAllocator const NCVMatrix< Ncv32f > &	frame0

brief Compute optical flow Based on method by Brox et al [2004] param[in] desc model and solver parameters param[in] gpu_mem_allocator GPU memory allocator param[in] frame0 source frame param[in] frame1 frame to track param[out] u flow horizontal INCVMemAllocator const NCVMatrix< Ncv32f > const NCVMatrix< Ncv32f > &	frame1

brief Compute optical flow Based on method by Brox et al [2004] param[in] desc model and solver parameters param[in] gpu_mem_allocator GPU memory allocator param[in] frame0 source frame param[in] frame1 frame to track param[out] u flow horizontal INCVMemAllocator &	gpu_mem_allocator

const Ncv32u	K_LOG2_WARP_SIZE = 5

const Ncv32u	K_WARP_SIZE = 32

brief Compute optical flow Based on method by Brox et al [2004] param[in] desc model and solver parameters param[in] gpu_mem_allocator GPU memory allocator param[in] frame0 source frame param[in] frame1 frame to track param[out] u flow horizontal INCVMemAllocator const NCVMatrix< Ncv32f > const NCVMatrix< Ncv32f > NCVMatrix < Ncv32f > NCVMatrix< Ncv32f > cudaStream_t	stream

brief Compute optical flow Based on method by Brox et al [2004] param[in] desc model and solver parameters param[in] gpu_mem_allocator GPU memory allocator param[in] frame0 source frame param[in] frame1 frame to track param[out] u flow horizontal INCVMemAllocator const NCVMatrix< Ncv32f > const NCVMatrix< Ncv32f > NCVMatrix < Ncv32f > &	u

brief Compute optical flow Based on method by Brox et al [2004] param[in] desc model and solver parameters param[in] gpu_mem_allocator GPU memory allocator param[in] frame0 source frame param[in] frame1 frame to track param[out] u flow horizontal INCVMemAllocator const NCVMatrix< Ncv32f > const NCVMatrix< Ncv32f > NCVMatrix < Ncv32f > NCVMatrix< Ncv32f > &	v

Detailed Description

Macro Definition Documentation

#define CLAMP	(	x,
		a,
		b
	)	( (x) > (b) ? (b) : ( (x) < (a) ? (a) : (x) ) )

#define CLAMP_0_255 ( x ) CLAMP(x,0,255)

#define CLAMP_BOTTOM	(	x,
		a
	)	(((x) < (a)) ? (a) : (x))

#define CLAMP_TOP	(	x,
		a
	)	(((x) > (a)) ? (a) : (x))

#define HAAR_STDDEV_BORDER 1

#define NCV_CT_ASSERT ( X )

Value:

typedef NcvCTprep::assertTest<sizeof(NcvCTprep::CT_ASSERT_FAILURE< (bool)(X) >)> \

NCV_CT_PREP_PASTE(__ct_assert_typedef_, __LINE__)

Performs compile-time assertion of a condition on the file scope

#define NCV_CT_PREP_PASTE	(	a,
		b
	)	NCV_CT_PREP_PASTE_AUX(a, b)

Concatenation macro.

#define NCV_CT_PREP_PASTE_AUX	(	a,
		b
	)	a##b

Concatenation indirection macro.

#define NCV_RESET_SKIP_COND ( x ) __ncv_skip_cond = x

#define NCV_SET_SKIP_COND ( x ) bool __ncv_skip_cond = x

#define NCV_SKIP_COND_BEGIN if (!__ncv_skip_cond) {

#define NCV_SKIP_COND_END }

#define ncvAssertCUDALastErrorReturn ( errCode )

Value:

do \
    { \
        cudaError_t res = cudaGetLastError(); \
        cv::String msg = cv::format("cudaError_t=%d", (int)res); \
        ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
    } while (0)

#define ncvAssertCUDAReturn	(	cudacall,
		errCode
	)

Value:

do \
    { \
        cudaError_t res = cudacall; \
        cv::String msg = cv::format("cudaError_t=%d", (int)res); \
        ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
    } while (0)

#define ncvAssertPrintCheck	(	pred,
		msg
	)

Value:

do \
    { \
        if (!(pred)) \
        { \
            cv::String str = cv::format("NCV Assertion Failed: %s, file=%s, line=%d", msg, __FILE__, __LINE__); \
            ncvDebugOutput(str); \
        } \
    } while (0)

#define ncvAssertPrintReturn	(	pred,
		msg,
		err
	)

Value:

do \
    { \
        ncvAssertPrintCheck(pred, msg); \
        if (!(pred)) return err; \
    } while (0)

#define ncvAssertReturn	(	pred,
		err
	)

Value:

do \
    { \
        cv::String msg = cv::format("retcode=%d", (int)err); \
        ncvAssertPrintReturn(pred, msg.c_str(), err); \
    } while (0)

#define ncvAssertReturnNcvStat ( ncvOp )

Value:

do \
    { \
        NCVStatus _ncvStat = ncvOp; \
        cv::String msg = cv::format("NcvStat=%d", (int)_ncvStat); \
        ncvAssertPrintReturn(NCV_SUCCESS==_ncvStat, msg.c_str(), _ncvStat); \
    } while (0)

#define ncvSafeMatAlloc	(	name,
		type,
		alloc,
		width,
		height,
		err
	)

Value:

NCVMatrixAlloc<type> name(alloc, width, height); \

ncvAssertReturn(name.isMemAllocated(), err);

#define OBJDET_MASK_ELEMENT_INVALID_32U 0xFFFFFFFF

#define RECT_SIMILARITY_PROPORTION 0.2f

#define SQR ( x ) ((x)*(x))

#define SUB_BEGIN	(	type,
		name
	)	struct { __inline type name

#define SUB_CALL ( name ) name.name

#define SUB_END ( name ) } name;

Typedef Documentation

typedef short Ncv16s

typedef unsigned short Ncv16u

typedef float Ncv32f

typedef Ncv32f Ncv32f_a

typedef int Ncv32s

typedef unsigned int Ncv32u

typedef Ncv32u Ncv32u_a

typedef double Ncv64f

typedef long long Ncv64s

typedef unsigned long long Ncv64u

typedef signed char Ncv8s

typedef unsigned char Ncv8u

typedef bool NcvBool

typedef void NCVDebugOutputHandler(const cv::String &msg)

typedef Ncv32u NCVStatus

typedef struct _NcvTimer* NcvTimer

Enumeration Type Documentation

anonymous enum

Return-codes for status notification, errors and warnings

Enumerator
NCV_SUCCESS
NCV_UNKNOWN_ERROR
NCV_CUDA_ERROR
NCV_NPP_ERROR
NCV_FILE_ERROR
NCV_NULL_PTR
NCV_INCONSISTENT_INPUT
NCV_TEXTURE_BIND_ERROR
NCV_DIMENSIONS_INVALID
NCV_INVALID_ROI
NCV_INVALID_STEP
NCV_INVALID_SCALE
NCV_ALLOCATOR_NOT_INITIALIZED
NCV_ALLOCATOR_BAD_ALLOC
NCV_ALLOCATOR_BAD_DEALLOC
NCV_ALLOCATOR_INSUFFICIENT_CAPACITY
NCV_ALLOCATOR_DEALLOC_ORDER
NCV_ALLOCATOR_BAD_REUSE
NCV_MEM_COPY_ERROR
NCV_MEM_RESIDENCE_ERROR
NCV_MEM_INSUFFICIENT_CAPACITY
NCV_HAAR_INVALID_PIXEL_STEP
NCV_HAAR_TOO_MANY_FEATURES_IN_CLASSIFIER
NCV_HAAR_TOO_MANY_FEATURES_IN_CASCADE
NCV_HAAR_TOO_LARGE_FEATURES
NCV_HAAR_XML_LOADING_EXCEPTION
NCV_NOIMPL_HAAR_TILTED_FEATURES
NCV_NOT_IMPLEMENTED
NCV_WARNING_HAAR_DETECTIONS_VECTOR_OVERFLOW
NPPST_SUCCESS	Successful operation (same as NPP_NO_ERROR)
NPPST_ERROR	Unknown error.
NPPST_CUDA_KERNEL_EXECUTION_ERROR	CUDA kernel execution error.
NPPST_NULL_POINTER_ERROR	NULL pointer argument error.
NPPST_TEXTURE_BIND_ERROR	CUDA texture binding error or non-zero offset returned.
NPPST_MEMCPY_ERROR	CUDA memory copy error.
NPPST_MEM_ALLOC_ERR	CUDA memory allocation error.
NPPST_MEMFREE_ERR	CUDA memory deallocation error.
NPPST_INVALID_ROI	Invalid region of interest argument.
NPPST_INVALID_STEP	Invalid image lines step argument (check sign, alignment, relation to image width)
NPPST_INVALID_SCALE	Invalid scale parameter passed.
NPPST_MEM_INSUFFICIENT_BUFFER	Insufficient user-allocated buffer.
NPPST_MEM_RESIDENCE_ERROR	Memory residence error detected (check if pointers should be device or pinned)
NPPST_MEM_INTERNAL_ERROR	Internal memory management error.
NCV_LAST_STATUS	Marker to continue error numeration in other files.

anonymous enum

Enumerator
NCVPipeObjDet_Default
NCVPipeObjDet_UseFairImageScaling
NCVPipeObjDet_FindLargestObject
NCVPipeObjDet_VisualizeInPlace

enum NCVMemoryType

NCVMemoryType

Enumerator
NCVMemoryTypeNone
NCVMemoryTypeHostPageable
NCVMemoryTypeHostPinned
NCVMemoryTypeDevice

Function Documentation

INCVMemAllocator::~INCVMemAllocator ( )

inlinepure virtual

Ncv32u alignUp	(	Ncv32u	what,
		Ncv32u	alignment
	)

Calculates the aligned top bound value

void cv::cuda::calcOpticalFlowBM	(	const GpuMat &	prev,
		const GpuMat &	curr,
		Size	block_size,
		Size	shift_size,
		Size	max_range,
		bool	use_previous,
		GpuMat &	velx,
		GpuMat &	vely,
		GpuMat &	buf,
		Stream &	stream = `Stream::Null()`
	)

Calculates optical flow for 2 images using block matching algorithm */.

* brief Compute optical flow* * Based on method by Brox et al* [2004] param [in] desc model and solver parameters* param [in] gpu_mem_allocator GPU memory allocator* param [in] frame0 source frame* param [in] frame1 frame to track* param [out] u flow horizontal component ( along\b x axis ) const

void cv::cuda::connectivityMask	(	const GpuMat &	image,
		GpuMat &	mask,
		const cv::Scalar &	lo,
		const cv::Scalar &	hi,
		Stream &	stream = `Stream::Null()`
	)

compute mask for Generalized Flood fill componetns labeling.

Ptr<cuda::BackgroundSubtractorFGD> cv::cuda::createBackgroundSubtractorFGD ( const FGDParams & params = FGDParams() )

Creates FGD Background Subtractor.

Parameters

params Algorithm's parameters. SeeFGD2003 for explanation.

Ptr<cuda::BackgroundSubtractorGMG> cv::cuda::createBackgroundSubtractorGMG	(	int	initializationFrames = `120`,
		double	decisionThreshold = `0.8`
	)

Creates GMG Background Subtractor.

Parameters

initializationFrames	Number of frames of video to use to initialize histograms.
decisionThreshold	Value above which pixel is determined to be FG.

Ptr<ImagePyramid> cv::cuda::createImagePyramid	(	InputArray	img,
		int	nLayers = `-1`,
		Stream &	stream = `Stream::Null()`
	)

void cv::cuda::createOpticalFlowNeedleMap	(	const GpuMat &	u,
		const GpuMat &	v,
		GpuMat &	vertex,
		GpuMat &	colors
	)

void cv::cuda::graphcut	(	GpuMat &	terminals,
		GpuMat &	leftTransp,
		GpuMat &	rightTransp,
		GpuMat &	top,
		GpuMat &	bottom,
		GpuMat &	labels,
		GpuMat &	buf,
		Stream &	stream = `Stream::Null()`
	)

performs labeling via graph cuts of a 2D regular 4-connected graph.

void cv::cuda::graphcut	(	GpuMat &	terminals,
		GpuMat &	leftTransp,
		GpuMat &	rightTransp,
		GpuMat &	top,
		GpuMat &	topLeft,
		GpuMat &	topRight,
		GpuMat &	bottom,
		GpuMat &	bottomLeft,
		GpuMat &	bottomRight,
		GpuMat &	labels,
		GpuMat &	buf,
		Stream &	stream = `Stream::Null()`
	)

performs labeling via graph cuts of a 2D regular 8-connected graph.

void cv::cuda::interpolateFrames	(	const GpuMat &	frame0,
		const GpuMat &	frame1,
		const GpuMat &	fu,
		const GpuMat &	fv,
		const GpuMat &	bu,
		const GpuMat &	bv,
		float	pos,
		GpuMat &	newFrame,
		GpuMat &	buf,
		Stream &	stream = `Stream::Null()`
	)

Interpolates frames (images) using provided optical flow (displacement field).

Parameters

frame0	First frame (32-bit floating point images, single channel).
frame1	Second frame. Must have the same type and size as frame0 .
fu	Forward horizontal displacement.
fv	Forward vertical displacement.
bu	Backward horizontal displacement.
bv	Backward vertical displacement.
pos	New frame position.
newFrame	Output image.
buf	Temporary buffer, will have width x 6*height size, CV_32FC1 type and contain 6 GpuMat: occlusion masks for first frame, occlusion masks for second, interpolated forward horizontal flow, interpolated forward vertical flow, interpolated backward horizontal flow, interpolated backward vertical flow.
stream	Stream for the asynchronous version.

void cv::cuda::labelComponents	(	const GpuMat &	mask,
		GpuMat &	components,
		int	flags = `0`,
		Stream &	stream = `Stream::Null()`
	)

performs connected componnents labeling.

NCVStatus memSegCopyHelper	(	void *	dst,
		NCVMemoryType	dstType,
		const void *	src,
		NCVMemoryType	srcType,
		size_t	sz,
		cudaStream_t	cuStream
	)

Copy dispatchers

NCVStatus memSegCopyHelper2D	(	void *	dst,
		Ncv32u	dstPitch,
		NCVMemoryType	dstType,
		const void *	src,
		Ncv32u	srcPitch,
		NCVMemoryType	srcType,
		Ncv32u	widthbytes,
		Ncv32u	height,
		cudaStream_t	cuStream
	)

NCV_CT_ASSERT ( sizeof(HaarFeature64) = =8 )

NCV_CT_ASSERT ( sizeof(HaarFeatureDescriptor32) = =4 )

NCV_CT_ASSERT ( sizeof(HaarClassifierNodeDescriptor32) = =4 )

NCV_CT_ASSERT ( sizeof(HaarClassifierNode128) = =16 )

NCV_CT_ASSERT ( sizeof(HaarStage64) = =8 )

NCVStatus ncvApplyHaarClassifierCascade_device	(	NCVMatrix< Ncv32u > &	d_integralImage,
		NCVMatrix< Ncv32f > &	d_weights,
		NCVMatrixAlloc< Ncv32u > &	d_pixelMask,
		Ncv32u &	numDetections,
		HaarClassifierCascadeDescriptor &	haar,
		NCVVector< HaarStage64 > &	h_HaarStages,
		NCVVector< HaarStage64 > &	d_HaarStages,
		NCVVector< HaarClassifierNode128 > &	d_HaarNodes,
		NCVVector< HaarFeature64 > &	d_HaarFeatures,
		NcvBool	bMaskElements,
		NcvSize32u	anchorsRoi,
		Ncv32u	pixelStep,
		Ncv32f	scaleArea,
		INCVMemAllocator &	gpuAllocator,
		INCVMemAllocator &	cpuAllocator,
		cudaDeviceProp &	devProp,
		cudaStream_t	cuStream
	)

NCVStatus ncvApplyHaarClassifierCascade_host	(	NCVMatrix< Ncv32u > &	h_integralImage,
		NCVMatrix< Ncv32f > &	h_weights,
		NCVMatrixAlloc< Ncv32u > &	h_pixelMask,
		Ncv32u &	numDetections,
		HaarClassifierCascadeDescriptor &	haar,
		NCVVector< HaarStage64 > &	h_HaarStages,
		NCVVector< HaarClassifierNode128 > &	h_HaarNodes,
		NCVVector< HaarFeature64 > &	h_HaarFeatures,
		NcvBool	bMaskElements,
		NcvSize32u	anchorsRoi,
		Ncv32u	pixelStep,
		Ncv32f	scaleArea
	)

void ncvDebugOutput ( const cv::String & msg )

NCVStatus ncvDetectObjectsMultiScale_device	(	NCVMatrix< Ncv8u > &	d_srcImg,
		NcvSize32u	srcRoi,
		NCVVector< NcvRect32u > &	d_dstRects,
		Ncv32u &	dstNumRects,
		HaarClassifierCascadeDescriptor &	haar,
		NCVVector< HaarStage64 > &	h_HaarStages,
		NCVVector< HaarStage64 > &	d_HaarStages,
		NCVVector< HaarClassifierNode128 > &	d_HaarNodes,
		NCVVector< HaarFeature64 > &	d_HaarFeatures,
		NcvSize32u	minObjSize,
		Ncv32u	minNeighbors,
		Ncv32f	scaleStep,
		Ncv32u	pixelStep,
		Ncv32u	flags,
		INCVMemAllocator &	gpuAllocator,
		INCVMemAllocator &	cpuAllocator,
		cudaDeviceProp &	devProp,
		cudaStream_t	cuStream
	)

NCVStatus ncvDrawRects_32u_device	(	Ncv32u *	d_dst,
		Ncv32u	dstStride,
		Ncv32u	dstWidth,
		Ncv32u	dstHeight,
		NcvRect32u *	d_rects,
		Ncv32u	numRects,
		Ncv32u	color,
		cudaStream_t	cuStream
	)

NCVStatus ncvDrawRects_32u_host	(	Ncv32u *	h_dst,
		Ncv32u	dstStride,
		Ncv32u	dstWidth,
		Ncv32u	dstHeight,
		NcvRect32u *	h_rects,
		Ncv32u	numRects,
		Ncv32u	color
	)

NCVStatus ncvDrawRects_8u_device	(	Ncv8u *	d_dst,
		Ncv32u	dstStride,
		Ncv32u	dstWidth,
		Ncv32u	dstHeight,
		NcvRect32u *	d_rects,
		Ncv32u	numRects,
		Ncv8u	color,
		cudaStream_t	cuStream
	)

NCVStatus ncvDrawRects_8u_host	(	Ncv8u *	h_dst,
		Ncv32u	dstStride,
		Ncv32u	dstWidth,
		Ncv32u	dstHeight,
		NcvRect32u *	h_rects,
		Ncv32u	numRects,
		Ncv8u	color
	)

double ncvEndQueryTimerMs ( NcvTimer t )

double ncvEndQueryTimerUs ( NcvTimer t )

NCVStatus ncvGroupRectangles_host	(	NCVVector< NcvRect32u > &	hypotheses,
		Ncv32u &	numHypotheses,
		Ncv32u	minNeighbors,
		Ncv32f	intersectEps,
		NCVVector< Ncv32u > *	hypothesesWeights
	)

Operations with rectangles

NCVStatus ncvGrowDetectionsVector_device	(	NCVVector< Ncv32u > &	pixelMask,
		Ncv32u	numPixelMaskDetections,
		NCVVector< NcvRect32u > &	hypotheses,
		Ncv32u &	totalDetections,
		Ncv32u	totalMaxDetections,
		Ncv32u	rectWidth,
		Ncv32u	rectHeight,
		Ncv32f	curScale,
		cudaStream_t	cuStream
	)

NCVStatus ncvGrowDetectionsVector_host	(	NCVVector< Ncv32u > &	pixelMask,
		Ncv32u	numPixelMaskDetections,
		NCVVector< NcvRect32u > &	hypotheses,
		Ncv32u &	totalDetections,
		Ncv32u	totalMaxDetections,
		Ncv32u	rectWidth,
		Ncv32u	rectHeight,
		Ncv32f	curScale
	)

NCVStatus ncvHaarGetClassifierSize	(	const cv::String &	filename,
		Ncv32u &	numStages,
		Ncv32u &	numNodes,
		Ncv32u &	numFeatures
	)

NCVStatus ncvHaarLoadFromFile_host	(	const cv::String &	filename,
		HaarClassifierCascadeDescriptor &	haar,
		NCVVector< HaarStage64 > &	h_HaarStages,
		NCVVector< HaarClassifierNode128 > &	h_HaarNodes,
		NCVVector< HaarFeature64 > &	h_HaarFeatures
	)

NCVStatus ncvHaarStoreNVBIN_host	(	const cv::String &	filename,
		HaarClassifierCascadeDescriptor	haar,
		NCVVector< HaarStage64 > &	h_HaarStages,
		NCVVector< HaarClassifierNode128 > &	h_HaarNodes,
		NCVVector< HaarFeature64 > &	h_HaarFeatures
	)

void ncvSetDebugOutputHandler ( NCVDebugOutputHandler * func )

NcvTimer ncvStartTimer ( void )

void cv::cuda::projectPoints	(	const GpuMat &	src,
		const Mat &	rvec,
		const Mat &	tvec,
		const Mat &	camera_mat,
		const Mat &	dist_coef,
		GpuMat &	dst,
		Stream &	stream = `Stream::Null()`
	)

void cv::cuda::solvePnPRansac	(	const Mat &	object,
		const Mat &	image,
		const Mat &	camera_mat,
		const Mat &	dist_coef,
		Mat &	rvec,
		Mat &	tvec,
		bool	use_extrinsic_guess = `false`,
		int	num_iters = `100`,
		float	max_dist = `8.0`,
		int	min_inlier_count = `100`,
		std::vector< int > *	inliers = `NULL`
	)

Finds the object pose from 3D-2D point correspondences.

Parameters

object	Single-row matrix of object points.
image	Single-row matrix of image points.
camera_mat	3x3 matrix of intrinsic camera parameters.
dist_coef	Distortion coefficients. See undistortPoints for details.
rvec	Output 3D rotation vector.
tvec	Output 3D translation vector.
use_extrinsic_guess	Flag to indicate that the function must use rvec and tvec as an initial transformation guess. It is not supported for now.
num_iters	Maximum number of RANSAC iterations.
max_dist	Euclidean distance threshold to detect whether point is inlier or not.
min_inlier_count	Flag to indicate that the function must stop if greater or equal number of inliers is achieved. It is not supported for now.
inliers	Output vector of inlier indices.

void cv::cuda::transformPoints	(	const GpuMat &	src,
		const Mat &	rvec,
		const Mat &	tvec,
		GpuMat &	dst,
		Stream &	stream = `Stream::Null()`
	)

Variable Documentation

* brief Compute optical flow* * Based on method by Brox et al* [2004] param [in] desc model and solver parameters* param [in] gpu_mem_allocator GPU memory allocator* param [in] frame0 source frame* param [in] frame1 frame to track* param [out] u flow horizontal INCVMemAllocator const NCVMatrix<Ncv32f>& frame0

* brief Compute optical flow* * Based on method by Brox et al* [2004] param [in] desc model and solver parameters* param [in] gpu_mem_allocator GPU memory allocator* param [in] frame0 source frame* param [in] frame1 frame to track* param [out] u flow horizontal INCVMemAllocator const NCVMatrix<Ncv32f> const NCVMatrix<Ncv32f>& frame1

Examples:: samples/cpp/facedetect.cpp.

* brief Compute optical flow* * Based on method by Brox et al* [2004] param [in] desc model and solver parameters* param [in] gpu_mem_allocator GPU memory allocator* param [in] frame0 source frame* param [in] frame1 frame to track* param [out] u flow horizontal INCVMemAllocator& gpu_mem_allocator

const Ncv32u K_LOG2_WARP_SIZE = 5

const Ncv32u K_WARP_SIZE = 32

* brief Compute optical flow* * Based on method by Brox et al* [2004] param [in] desc model and solver parameters* param [in] gpu_mem_allocator GPU memory allocator* param [in] frame0 source frame* param [in] frame1 frame to track* param [out] u flow horizontal INCVMemAllocator const NCVMatrix<Ncv32f> const NCVMatrix<Ncv32f> NCVMatrix<Ncv32f> NCVMatrix<Ncv32f> cudaStream_t stream

* brief Compute optical flow* * Based on method by Brox et al* [2004] param [in] desc model and solver parameters* param [in] gpu_mem_allocator GPU memory allocator* param [in] frame0 source frame* param [in] frame1 frame to track* param [out] u flow horizontal INCVMemAllocator const NCVMatrix<Ncv32f> const NCVMatrix<Ncv32f> NCVMatrix<Ncv32f>& u

* brief Compute optical flow* * Based on method by Brox et al* [2004] param [in] desc model and solver parameters* param [in] gpu_mem_allocator GPU memory allocator* param [in] frame0 source frame* param [in] frame1 frame to track* param [out] u flow horizontal INCVMemAllocator const NCVMatrix<Ncv32f> const NCVMatrix<Ncv32f> NCVMatrix<Ncv32f> NCVMatrix<Ncv32f>& v

Examples:: samples/cpp/cout_mat.cpp.

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