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    Searched defs:GpuMat (Results 1 - 4 of 4) sorted by null

  /external/opencv3/modules/core/src/
cuda_gpu_mat.cpp 49 cv::cuda::GpuMat::GpuMat(int rows_, int cols_, int type_, void* data_, size_t step_) :
75 cv::cuda::GpuMat::GpuMat(Size size_, int type_, void* data_, size_t step_) :
101 cv::cuda::GpuMat::GpuMat(const GpuMat& m, Range rowRange_, Range colRange_)
143 cv::cuda::GpuMat::GpuMat(const GpuMat& m, Rect roi)
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  /external/opencv3/modules/core/include/opencv2/core/
cuda.inl.hpp 54 // GpuMat
58 GpuMat::GpuMat(Allocator* allocator_)
63 GpuMat::GpuMat(int rows_, int cols_, int type_, Allocator* allocator_)
71 GpuMat::GpuMat(Size size_, int type_, Allocator* allocator_)
79 GpuMat::GpuMat(int rows_, int cols_, int type_, Scalar s_, Allocator* allocator_)
90 GpuMat::GpuMat(Size size_, int type_, Scalar s_, Allocator* allocator_
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cuda.hpp 71 // GpuMat
84 allocations. The GpuMat class is convertible to cuda::PtrStepSz and cuda::PtrStep so it can be
87 @note In contrast with Mat, in most cases GpuMat::isContinuous() == false . This means that rows are
88 aligned to a size depending on the hardware. Single-row GpuMat is always a continuous matrix.
90 @note You are not recommended to leave static or global GpuMat variables allocated, that is, to rely
96 class CV_EXPORTS GpuMat
105 virtual bool allocate(GpuMat* mat, int rows, int cols, size_t elemSize) = 0;
106 virtual void free(GpuMat* mat) = 0;
114 explicit GpuMat(Allocator* allocator = defaultAllocator());
116 //! constructs GpuMat of the specified size and typ
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base.hpp 634 class CV_EXPORTS GpuMat;

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