| OpenCV 5.0.0alpha Open Source Computer Vision

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Classes | Enumerations | Functions
Initialization and Information
CUDA-accelerated Computer Vision » Core part

## 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
  cv::Mat::convertTo

## ◆ 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.