fixed ?? marks; fixed missing highlighting in some of the sections
This commit is contained in:
Vadim Pisarevsky
@@ -1,6 +1,8 @@
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Data Structures
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===============
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.. highlight:: cpp
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.. index:: gpu::DevMem2D\_
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gpu::DevMem2D\_
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@@ -286,7 +288,7 @@ gpu::Stream::waitForCompletion
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----------------------------------
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.. cpp:function:: void gpu::Stream::waitForCompletion()
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Blocks ?? until all operations in the stream are complete.
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Blocks the current CPU thread until all operations in the stream are complete.
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.. index:: gpu::StreamAccessor
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@@ -348,9 +350,5 @@ gpu::ensureSizeIsEnough
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:param type: Desired matrix type.
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:param m: Destination matrix.
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The following wrapper is also available: ??
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:param m: Destination matrix.
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@@ -7,10 +7,7 @@ Image Processing
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gpu::meanShiftFiltering
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---------------------------
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.. cpp:function:: void gpu::meanShiftFiltering(const GpuMat& src, GpuMat& dst,
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int sp, int sr,
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TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER
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+ TermCriteria::EPS, 5, 1))
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.. cpp:function:: void gpu::meanShiftFiltering(const GpuMat& src, GpuMat& dst, int sp, int sr,TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1))
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Performs mean-shift filtering for each point of the source image. It maps each point of the source image into another point. As a result, you have a new color and new position of each point.
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@@ -22,15 +19,13 @@ gpu::meanShiftFiltering
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:param sr: Color window radius.
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:param criteria: Termination criteria. See :c:class:`TermCriteria`.
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:param criteria: Termination criteria. See :cpp:class:`TermCriteria`.
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.. index:: gpu::meanShiftProc
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gpu::meanShiftProc
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----------------------
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.. cpp:function:: void gpu::meanShiftProc(const GpuMat& src, GpuMat& dstr, GpuMat& dstsp,
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int sp, int sr, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER
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+ TermCriteria::EPS, 5, 1))
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.. cpp:function:: void gpu::meanShiftProc(const GpuMat& src, GpuMat& dstr, GpuMat& dstsp, int sp, int sr, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1))
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Performs a mean-shift procedure and stores information about processed points (their colors and positions) in two images.
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@@ -44,7 +39,7 @@ gpu::meanShiftProc
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:param sr: Color window radius.
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:param criteria: Termination criteria. See :c:class:`TermCriteria`.
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:param criteria: Termination criteria. See :cpp:class:`TermCriteria`.
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See Also:
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:c:func:`gpu::meanShiftFiltering`
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@@ -67,7 +62,7 @@ gpu::meanShiftSegmentation
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:param minsize: Minimum segment size. Smaller segements are merged.
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:param criteria: Termination criteria. See :c:class:`TermCriteria`.
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:param criteria: Termination criteria. See :cpp:class:`TermCriteria`.
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.. index:: gpu::integral
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@@ -116,15 +111,13 @@ gpu::columnSum
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gpu::cornerHarris
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---------------------
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.. cpp:function:: void gpu::cornerHarris(const GpuMat& src, GpuMat& dst,
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int blockSize, int ksize, double k,
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int borderType=BORDER_REFLECT101)
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.. cpp:function:: void gpu::cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, double k, int borderType=BORDER_REFLECT101)
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Computes the Harris cornerness criteria at each image pixel.
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:param src: Source image. Only ``CV_8UC1`` and ``CV_32FC1`` images are supported for now.
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:param dst: Destination image containing cornerness values. The size is the same??. The type is ``CV_32FC1`` .
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:param dst: Destination image containing cornerness values. It has the same size as ``src`` and ``CV_32FC1`` type.
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:param blockSize: Neighborhood size.
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@@ -141,9 +134,7 @@ See Also:
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gpu::cornerMinEigenVal
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--------------------------
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.. cpp:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst,
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int blockSize, int ksize,
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int borderType=BORDER_REFLECT101)
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.. cpp:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType=BORDER_REFLECT101)
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Computes the minimum eigen value of 2x2 derivative covariation matrix at each pixel (the cornerness criteria).
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@@ -165,8 +156,7 @@ See also: :c:func:`cornerMinEigenVal`
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gpu::mulSpectrums
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---------------------
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.. cpp:function:: void gpu::mulSpectrums(const GpuMat& a, const GpuMat& b,
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GpuMat& c, int flags, bool conjB=false)
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.. cpp:function:: void gpu::mulSpectrums(const GpuMat& a, const GpuMat& b, GpuMat& c, int flags, bool conjB=false)
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Performs a per-element multiplication of two Fourier spectrums.
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@@ -189,8 +179,7 @@ See Also:
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gpu::mulAndScaleSpectrums
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-----------------------------
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.. cpp:function:: void gpu::mulAndScaleSpectrums(const GpuMat& a, const GpuMat& b,
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GpuMat& c, int flags, float scale, bool conjB=false)
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.. cpp:function:: void gpu::mulAndScaleSpectrums(const GpuMat& a, const GpuMat& b, GpuMat& c, int flags, float scale, bool conjB=false)
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Performs a per-element multiplication of two Fourier spectrums and scales the result.
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@@ -254,11 +243,9 @@ See Also:
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gpu::convolve
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-----------------
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.. cpp:function:: void gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result,
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bool ccorr=false)
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.. cpp:function:: void gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result, bool ccorr=false)
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.. cpp:function:: void gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result,
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bool ccorr, ConvolveBuf& buf)
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.. cpp:function:: void gpu::convolve(const GpuMat& image, const GpuMat& templ, GpuMat& result, bool ccorr, ConvolveBuf& buf)
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Computes a convolution (or cross-correlation) of two images.
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@@ -314,8 +301,7 @@ gpu::ConvolveBuf::ConvolveBuf
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gpu::matchTemplate
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----------------------
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.. cpp:function:: void gpu::matchTemplate(const GpuMat& image, const GpuMat& templ,
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GpuMat& result, int method)
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.. cpp:function:: void gpu::matchTemplate(const GpuMat& image, const GpuMat& templ, GpuMat& result, int method)
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Computes a proximity map for a raster template and an image where the template is searched for.
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