OpenCL support

Classes
class	cv::ocl::Context
class	cv::ocl::Device
class	cv::ocl::Image2D
class	cv::ocl::Kernel
class	cv::ocl::KernelArg
class	cv::ocl::Platform
class	cv::ocl::PlatformInfo
class	cv::ocl::Program
class	cv::ocl::ProgramSource
class	cv::ocl::Queue
class	cv::ocl::Timer

Enumerations
enum	cv::ocl::OclVectorStrategy {   cv::ocl::OCL_VECTOR_OWN = 0,   cv::ocl::OCL_VECTOR_MAX = 1,   cv::ocl::OCL_VECTOR_DEFAULT = OCL_VECTOR_OWN }

Functions
void	cv::ocl::attachContext (const String &platformName, void *platformID, void *context, void *deviceID)
	Attaches OpenCL context to OpenCV. More...
void	cv::ocl::buildOptionsAddMatrixDescription (String &buildOptions, const String &name, InputArray _m)
int	cv::ocl::checkOptimalVectorWidth (const int *vectorWidths, InputArray src1, InputArray src2=noArray(), InputArray src3=noArray(), InputArray src4=noArray(), InputArray src5=noArray(), InputArray src6=noArray(), InputArray src7=noArray(), InputArray src8=noArray(), InputArray src9=noArray(), OclVectorStrategy strat=OCL_VECTOR_DEFAULT)
void	cv::ocl::convertFromBuffer (void *cl_mem_buffer, size_t step, int rows, int cols, int type, UMat &dst)
	Convert OpenCL buffer to UMat. More...
void	cv::ocl::convertFromImage (void *cl_mem_image, UMat &dst)
	Convert OpenCL image2d_t to UMat. More...
const char *	cv::ocl::convertTypeStr (int sdepth, int ddepth, int cn, char *buf)
void	cv::ocl::finish ()
MatAllocator *	cv::ocl::getOpenCLAllocator ()
const char *	cv::ocl::getOpenCLErrorString (int errorCode)
void	cv::ocl::getPlatfomsInfo (std::vector< PlatformInfo > &platform_info)
bool	cv::ocl::haveAmdBlas ()
bool	cv::ocl::haveAmdFft ()
bool	cv::ocl::haveOpenCL ()
bool	cv::ocl::haveSVM ()
void	cv::ocl::initializeContextFromHandle (Context &ctx, void *platform, void *context, void *device)
String	cv::ocl::kernelToStr (InputArray _kernel, int ddepth=-1, const char *name=NULL)
const char *	cv::ocl::memopTypeToStr (int t)
int	cv::ocl::predictOptimalVectorWidth (InputArray src1, InputArray src2=noArray(), InputArray src3=noArray(), InputArray src4=noArray(), InputArray src5=noArray(), InputArray src6=noArray(), InputArray src7=noArray(), InputArray src8=noArray(), InputArray src9=noArray(), OclVectorStrategy strat=OCL_VECTOR_DEFAULT)
int	cv::ocl::predictOptimalVectorWidthMax (InputArray src1, InputArray src2=noArray(), InputArray src3=noArray(), InputArray src4=noArray(), InputArray src5=noArray(), InputArray src6=noArray(), InputArray src7=noArray(), InputArray src8=noArray(), InputArray src9=noArray())
void	cv::ocl::setUseOpenCL (bool flag)
const char *	cv::ocl::typeToStr (int t)
bool	cv::ocl::useOpenCL ()
const char *	cv::ocl::vecopTypeToStr (int t)

Detailed Description

Enumeration Type Documentation

OclVectorStrategy

enum cv::ocl::OclVectorStrategy

#include <opencv2/core/ocl.hpp>

Enumerator
OCL_VECTOR_OWN  Python: cv.ocl.OCL_VECTOR_OWN
OCL_VECTOR_MAX  Python: cv.ocl.OCL_VECTOR_MAX
OCL_VECTOR_DEFAULT  Python: cv.ocl.OCL_VECTOR_DEFAULT

Function Documentation

attachContext()

void cv::ocl::attachContext	(	const String &	platformName,
		void *	platformID,
		void *	context,
		void *	deviceID
	)

#include <opencv2/core/ocl.hpp>

Attaches OpenCL context to OpenCV.

Note

OpenCV will check if available OpenCL platform has platformName name, then assign context to OpenCV and call clRetainContext function. The deviceID device will be used as target device and new command queue will be created.

Parameters

platformName	name of OpenCL platform to attach, this string is used to check if platform is available to OpenCV at runtime
platformID	ID of platform attached context was created for
context	OpenCL context to be attached to OpenCV
deviceID	ID of device, must be created from attached context

buildOptionsAddMatrixDescription()

void cv::ocl::buildOptionsAddMatrixDescription	(	String &	buildOptions,
		const String &	name,
		InputArray	_m
	)

#include <opencv2/core/ocl.hpp>

checkOptimalVectorWidth()

int cv::ocl::checkOptimalVectorWidth	(	const int *	vectorWidths,
		InputArray	src1,
		InputArray	src2 = noArray(),
		InputArray	src3 = noArray(),
		InputArray	src4 = noArray(),
		InputArray	src5 = noArray(),
		InputArray	src6 = noArray(),
		InputArray	src7 = noArray(),
		InputArray	src8 = noArray(),
		InputArray	src9 = noArray(),
		OclVectorStrategy	strat = OCL_VECTOR_DEFAULT
	)

#include <opencv2/core/ocl.hpp>

convertFromBuffer()

void cv::ocl::convertFromBuffer	(	void *	cl_mem_buffer,
		size_t	step,
		int	rows,
		int	cols,
		int	type,
		UMat &	dst
	)

#include <opencv2/core/ocl.hpp>

Convert OpenCL buffer to UMat.

Note

OpenCL buffer (cl_mem_buffer) should contain 2D image data, compatible with OpenCV. Memory content is not copied from clBuffer to UMat. Instead, buffer handle assigned to UMat and clRetainMemObject is called.

Parameters

cl_mem_buffer	source clBuffer handle
step	num of bytes in single row
rows	number of rows
cols	number of cols
type	OpenCV type of image
dst	destination UMat

convertFromImage()

void cv::ocl::convertFromImage	(	void *	cl_mem_image,
		UMat &	dst
	)

#include <opencv2/core/ocl.hpp>

Convert OpenCL image2d_t to UMat.

Note

OpenCL image2d_t (cl_mem_image), should be compatible with OpenCV UMat formats. Memory content is copied from image to UMat with clEnqueueCopyImageToBuffer function.

Parameters

cl_mem_image	source image2d_t handle
dst	destination UMat

convertTypeStr()

const char* cv::ocl::convertTypeStr	(	int	sdepth,
		int	ddepth,
		int	cn,
		char *	buf
	)

#include <opencv2/core/ocl.hpp>

finish()

void cv::ocl::finish

(

)

Python:
	None	=	cv.ocl.finish(		)

#include <opencv2/core/ocl.hpp>

getOpenCLAllocator()

MatAllocator* cv::ocl::getOpenCLAllocator

(

)

#include <opencv2/core/ocl.hpp>

getOpenCLErrorString()

const char* cv::ocl::getOpenCLErrorString

(

int

errorCode

)

#include <opencv2/core/ocl.hpp>

getPlatfomsInfo()

void cv::ocl::getPlatfomsInfo

(

std::vector< PlatformInfo > &

platform_info

)

#include <opencv2/core/ocl.hpp>

haveAmdBlas()

bool cv::ocl::haveAmdBlas

(

)

Python:
	retval	=	cv.ocl.haveAmdBlas(		)

#include <opencv2/core/ocl.hpp>

haveAmdFft()

bool cv::ocl::haveAmdFft

(

)

Python:
	retval	=	cv.ocl.haveAmdFft(		)

#include <opencv2/core/ocl.hpp>

haveOpenCL()

bool cv::ocl::haveOpenCL

(

)

Python:
	retval	=	cv.ocl.haveOpenCL(		)

#include <opencv2/core/ocl.hpp>

haveSVM()

bool cv::ocl::haveSVM

(

)

#include <opencv2/core/ocl.hpp>

initializeContextFromHandle()

void cv::ocl::initializeContextFromHandle	(	Context &	ctx,
		void *	platform,
		void *	context,
		void *	device
	)

#include <opencv2/core/ocl.hpp>

kernelToStr()

String cv::ocl::kernelToStr	(	InputArray	_kernel,
		int	ddepth = -1,
		const char *	name = NULL
	)

#include <opencv2/core/ocl.hpp>

memopTypeToStr()

const char* cv::ocl::memopTypeToStr

(

int

t

)

#include <opencv2/core/ocl.hpp>

predictOptimalVectorWidth()

int cv::ocl::predictOptimalVectorWidth	(	InputArray	src1,
		InputArray	src2 = noArray(),
		InputArray	src3 = noArray(),
		InputArray	src4 = noArray(),
		InputArray	src5 = noArray(),
		InputArray	src6 = noArray(),
		InputArray	src7 = noArray(),
		InputArray	src8 = noArray(),
		InputArray	src9 = noArray(),
		OclVectorStrategy	strat = OCL_VECTOR_DEFAULT
	)

#include <opencv2/core/ocl.hpp>

predictOptimalVectorWidthMax()

int cv::ocl::predictOptimalVectorWidthMax	(	InputArray	src1,
		InputArray	src2 = noArray(),
		InputArray	src3 = noArray(),
		InputArray	src4 = noArray(),
		InputArray	src5 = noArray(),
		InputArray	src6 = noArray(),
		InputArray	src7 = noArray(),
		InputArray	src8 = noArray(),
		InputArray	src9 = noArray()
	)

#include <opencv2/core/ocl.hpp>

setUseOpenCL()

void cv::ocl::setUseOpenCL

(

bool

flag

)

Python:
	None	=	cv.ocl.setUseOpenCL(	flag	)

#include <opencv2/core/ocl.hpp>

Examples:

samples/tapi/hog.cpp, and samples/tapi/squares.cpp.

typeToStr()

const char* cv::ocl::typeToStr

(

int

t

)

#include <opencv2/core/ocl.hpp>

useOpenCL()

bool cv::ocl::useOpenCL

(

)

Python:
	retval	=	cv.ocl.useOpenCL(		)

#include <opencv2/core/ocl.hpp>

Examples:

samples/dnn/colorization.cpp, and samples/tapi/hog.cpp.

vecopTypeToStr()

const char* cv::ocl::vecopTypeToStr

(

int

t

)

#include <opencv2/core/ocl.hpp>