Initialization and Information

Detailed Description

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.
bool	cv::cuda::deviceSupports (FeatureSet feature_set)
	checks whether current device supports the given feature
int	cv::cuda::getCudaEnabledDeviceCount ()
	Returns the number of installed CUDA-enabled devices.
int	cv::cuda::getDevice ()
	Returns the current device index set by cuda::setDevice or initialized by default.
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.
void	cv::cuda::setDevice (int device)
	Sets a device and initializes it for the current thread.

Enumeration Type Documentation

FeatureSet

enum cv::cuda::FeatureSet

#include <opencv2/core/cuda.hpp>

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()
	)

#include <opencv2/core/cuda.hpp>

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

)

#include <opencv2/core/cuda.hpp>

checks whether current device supports the given feature

getCudaEnabledDeviceCount()

int cv::cuda::getCudaEnabledDeviceCount

(

)

Python:
	cv.cuda.getCudaEnabledDeviceCount(		) ->	retval

#include <opencv2/core/cuda.hpp>

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.

getDevice()

int cv::cuda::getDevice

(

)

Python:
	cv.cuda.getDevice(		) ->	retval

#include <opencv2/core/cuda.hpp>

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

printCudaDeviceInfo()

void cv::cuda::printCudaDeviceInfo

(

int

device

)

Python:
	cv.cuda.printCudaDeviceInfo(	device	) ->	None

#include <opencv2/core/cuda.hpp>

printShortCudaDeviceInfo()

void cv::cuda::printShortCudaDeviceInfo

(

int

device

)

Python:
	cv.cuda.printShortCudaDeviceInfo(	device	) ->	None

#include <opencv2/core/cuda.hpp>

resetDevice()

void cv::cuda::resetDevice

(

)

Python:
	cv.cuda.resetDevice(		) ->	None

#include <opencv2/core/cuda.hpp>

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:
	cv.cuda.setDevice(	device	) ->	None

#include <opencv2/core/cuda.hpp>

Sets a device and initializes it for the current thread.

Parameters

device

System index of a CUDA device starting with 0.

If the call of this function is omitted, a default device is initialized at the fist CUDA usage.