Classes
class	cv::cuda::DeviceInfo
	Class providing functionality for querying the specified GPU properties. More...

class	cv::cuda::TargetArchs
	Class providing a set of static methods to check what NVIDIA* card architecture the CUDA module was built for. More...

Enumerations
enum	cv::cuda::FeatureSet { cv::cuda::FEATURE_SET_COMPUTE_10 = 10, cv::cuda::FEATURE_SET_COMPUTE_11 = 11, cv::cuda::FEATURE_SET_COMPUTE_12 = 12, cv::cuda::FEATURE_SET_COMPUTE_13 = 13, cv::cuda::FEATURE_SET_COMPUTE_20 = 20, cv::cuda::FEATURE_SET_COMPUTE_21 = 21, cv::cuda::FEATURE_SET_COMPUTE_30 = 30, cv::cuda::FEATURE_SET_COMPUTE_32 = 32, cv::cuda::FEATURE_SET_COMPUTE_35 = 35, cv::cuda::FEATURE_SET_COMPUTE_50 = 50, cv::cuda::GLOBAL_ATOMICS = FEATURE_SET_COMPUTE_11, cv::cuda::SHARED_ATOMICS = FEATURE_SET_COMPUTE_12, cv::cuda::NATIVE_DOUBLE = FEATURE_SET_COMPUTE_13, cv::cuda::WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30, cv::cuda::DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35 }
	Enumeration providing CUDA computing features. More...

Functions
void	cv::cuda::convertFp16 (InputArray _src, OutputArray _dst, Stream &stream=Stream::Null())
	Converts an array to half precision floating number. More...

bool	cv::cuda::deviceSupports (FeatureSet feature_set)
	checks whether current device supports the given feature More...

int	cv::cuda::getCudaEnabledDeviceCount ()
	Returns the number of installed CUDA-enabled devices. More...

int	cv::cuda::getDevice ()
	Returns the current device index set by cuda::setDevice or initialized by default. More...

void	cv::cuda::printCudaDeviceInfo (int device)

void	cv::cuda::printShortCudaDeviceInfo (int device)

void	cv::cuda::resetDevice ()
	Explicitly destroys and cleans up all resources associated with the current device in the current process. More...

void	cv::cuda::setDevice (int device)
	Sets a device and initializes it for the current thread. More...

Detailed Description

Enumeration Type Documentation

§ FeatureSet

enum cv::cuda::FeatureSet

Enumeration providing CUDA computing features.

Enumerator
FEATURE_SET_COMPUTE_10 Python: cv.cuda.FEATURE_SET_COMPUTE_10
FEATURE_SET_COMPUTE_11 Python: cv.cuda.FEATURE_SET_COMPUTE_11
FEATURE_SET_COMPUTE_12 Python: cv.cuda.FEATURE_SET_COMPUTE_12
FEATURE_SET_COMPUTE_13 Python: cv.cuda.FEATURE_SET_COMPUTE_13
FEATURE_SET_COMPUTE_20 Python: cv.cuda.FEATURE_SET_COMPUTE_20
FEATURE_SET_COMPUTE_21 Python: cv.cuda.FEATURE_SET_COMPUTE_21
FEATURE_SET_COMPUTE_30 Python: cv.cuda.FEATURE_SET_COMPUTE_30
FEATURE_SET_COMPUTE_32 Python: cv.cuda.FEATURE_SET_COMPUTE_32
FEATURE_SET_COMPUTE_35 Python: cv.cuda.FEATURE_SET_COMPUTE_35
FEATURE_SET_COMPUTE_50 Python: cv.cuda.FEATURE_SET_COMPUTE_50
GLOBAL_ATOMICS Python: cv.cuda.GLOBAL_ATOMICS
SHARED_ATOMICS Python: cv.cuda.SHARED_ATOMICS
NATIVE_DOUBLE Python: cv.cuda.NATIVE_DOUBLE
WARP_SHUFFLE_FUNCTIONS Python: cv.cuda.WARP_SHUFFLE_FUNCTIONS
DYNAMIC_PARALLELISM Python: cv.cuda.DYNAMIC_PARALLELISM

Function Documentation

§ convertFp16()

void cv::cuda::convertFp16	(	InputArray	_src,
		OutputArray	_dst,
		Stream &	stream = `Stream::Null()`
	)

Converts an array to half precision floating number.

Parameters

_src	input array.
_dst	output array.
stream	Stream for the asynchronous version.

See also: convertFp16

§ deviceSupports()

bool cv::cuda::deviceSupports ( FeatureSet feature_set )

checks whether current device supports the given feature

§ getCudaEnabledDeviceCount()

int cv::cuda::getCudaEnabledDeviceCount ( )

Python:
	retval	=	cv.cuda.getCudaEnabledDeviceCount(		)

Returns the number of installed CUDA-enabled devices.

Use this function before any other CUDA functions calls. If OpenCV is compiled without CUDA support, this function returns 0. If the CUDA driver is not installed, or is incompatible, this function returns -1.

Examples:: samples/cpp/stitching_detailed.cpp.

§ getDevice()

int cv::cuda::getDevice ( )

Python:
	retval	=	cv.cuda.getDevice(		)

Returns the current device index set by cuda::setDevice or initialized by default.

§ printCudaDeviceInfo()

void cv::cuda::printCudaDeviceInfo ( int device )

Python:
	None	=	cv.cuda.printCudaDeviceInfo(	device	)

§ printShortCudaDeviceInfo()

void cv::cuda::printShortCudaDeviceInfo ( int device )

Python:
	None	=	cv.cuda.printShortCudaDeviceInfo(	device	)

§ resetDevice()

void cv::cuda::resetDevice ( )

Python:
	None	=	cv.cuda.resetDevice(		)

Explicitly destroys and cleans up all resources associated with the current device in the current process.

Any subsequent API call to this device will reinitialize the device.

§ setDevice()

void cv::cuda::setDevice ( int device )

Python:
	None	=	cv.cuda.setDevice(	device	)

Sets a device and initializes it for the current thread.