OpenCV  4.10.0
Open Source Computer Vision
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Classes | Namespaces | Enumerations | Functions
cuda.hpp File Reference
#include "opencv2/core.hpp"
#include "opencv2/core/cuda_types.hpp"
#include "opencv2/core/cuda.inl.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
 "black box" representation of the file storage associated with a file on disk.
 
namespace  cv::cuda
 

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.
 
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)
 
bool cv::cuda::deviceSupports (FeatureSet feature_set)
 checks whether current device supports the given feature
 
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.
 
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::registerPageLocked (Mat &m)
 Page-locks the memory of matrix and maps it for the device(s).
 
void cv::cuda::resetDevice ()
 Explicitly destroys and cleans up all resources associated with the current device in the current process.
 
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::setDevice (int device)
 Sets a device and initializes it for the current thread.
 
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).