cuda.hpp#

#include <opencv2/core.hpp>
#include <opencv2/core/cuda_types.hpp>
#include <opencv2/core/cuda.inl.hpp>

Include dependency graph for cuda.hpp:

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Classes#

class cv::cuda::GpuMat::Allocator

class cv::cuda::BufferPool

BufferPool for use with CUDA streams. More…

class cv::cuda::DeviceInfo

Class providing functionality for querying the specified GPU properties. More…

class cv::cuda::Event

struct cv::cuda::GpuData

class cv::cuda::GpuMat

Base storage class for GPU memory with reference counting. More…

class cv::cuda::GpuMatND

class cv::cuda::HostMem

Class with reference counting wrapping special memory type allocation functions from CUDA. More…

class cv::cuda::Stream

This class encapsulates a queue of asynchronous calls. 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…

Namespaces#

namespace cv

namespace cv::cuda

Enumerations#

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

Enumeration providing CUDA computing features. More…

Functions#

void cv::cuda::createContinuous (int rows, int cols, int type, OutputArray arr)

Creates a continuous matrix.

GpuMat cv::cuda::createGpuMatFromCudaMemory (int rows, int cols, int type, size_t cudaMemoryAddress, size_t step=Mat::AUTO_STEP)

Bindings overload to create a GpuMat from existing GPU memory.

GpuMat cv::cuda::createGpuMatFromCudaMemory (Size size, int type, size_t cudaMemoryAddress, size_t step=Mat::AUTO_STEP)

void cv::cuda::ensureSizeIsEnough (int rows, int cols, int type, OutputArray arr)

Ensures that the size of a matrix is big enough and the matrix has a proper type.

void cv::cuda::registerPageLocked (Mat &m)

Page-locks the memory of matrix and maps it for the device(s).

void cv::cuda::setBufferPoolConfig (int deviceId, size_t stackSize, int stackCount)

void cv::cuda::setBufferPoolUsage (bool on)

BufferPool management (must be called before Stream creation)

void cv::cuda::unregisterPageLocked (Mat &m)

Unmaps the memory of matrix and makes it pageable again.

Stream cv::cuda::wrapStream (size_t cudaStreamMemoryAddress)

Bindings overload to create a Stream object from the address stored in an existing CUDA Runtime API stream pointer (cudaStream_t).

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.