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moved mulSpectrums, dft and convolve to gpuarithm

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This commit is contained in:
Vladislav Vinogradov
2013-04-09 15:49:56 +04:00
parent c56bdbc1c5
commit d569e72ad4
15 changed files with 1014 additions and 993 deletions
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43
modules/gpu/include/opencv2/gpu.hpp
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@@ -180,49 +180,6 @@ CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, Gp
CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize,
int borderType=BORDER_REFLECT101, Stream& stream = Stream::Null());
//! performs per-element multiplication of two full (not packed) Fourier spectrums
//! supports 32FC2 matrixes only (interleaved format)
CV_EXPORTS void mulSpectrums(const GpuMat& a, const GpuMat& b, GpuMat& c, int flags, bool conjB=false, Stream& stream = Stream::Null());
//! performs per-element multiplication of two full (not packed) Fourier spectrums
//! supports 32FC2 matrixes only (interleaved format)
CV_EXPORTS void mulAndScaleSpectrums(const GpuMat& a, const GpuMat& b, GpuMat& c, int flags, float scale, bool conjB=false, Stream& stream = Stream::Null());
//! Performs a forward or inverse discrete Fourier transform (1D or 2D) of floating point matrix.
//! Param dft_size is the size of DFT transform.
//!
//! If the source matrix is not continous, then additional copy will be done,
//! so to avoid copying ensure the source matrix is continous one. If you want to use
//! preallocated output ensure it is continuous too, otherwise it will be reallocated.
//!
//! Being implemented via CUFFT real-to-complex transform result contains only non-redundant values
//! in CUFFT's format. Result as full complex matrix for such kind of transform cannot be retrieved.
//!
//! For complex-to-real transform it is assumed that the source matrix is packed in CUFFT's format.
CV_EXPORTS void dft(const GpuMat& src, GpuMat& dst, Size dft_size, int flags=0, Stream& stream = Stream::Null());
struct CV_EXPORTS ConvolveBuf
{
Size result_size;
Size block_size;
Size user_block_size;
Size dft_size;
int spect_len;
GpuMat image_spect, templ_spect, result_spect;
GpuMat image_block, templ_block, result_data;
void create(Size image_size, Size templ_size);
static Size estimateBlockSize(Size result_size, Size templ_size);
};
//! computes convolution (or cross-correlation) of two images using discrete Fourier transform
//! supports source images of 32FC1 type only
//! result matrix will have 32FC1 type
CV_EXPORTS void convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result, bool ccorr = false);
CV_EXPORTS void convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result, bool ccorr, ConvolveBuf& buf, Stream& stream = Stream::Null());
struct CV_EXPORTS MatchTemplateBuf
{
Size user_block_size;