mirror of
https://github.com/opencv/opencv.git
synced 2026-07-29 23:33:05 +04:00
created wrappers for new NPP functions
removed void integral(const GpuMat& src, GpuMat& sum, GpuMat& sqsum, Stream& stream) - it fails with NPP_NOT_IMPLEMENTED error updated docs, accuracy and performance tests
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@@ -69,18 +69,14 @@ Performs a mean-shift segmentation of the source image and eliminates small segm
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gpu::integral
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-----------------
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Computes an integral image and a squared integral image.
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Computes an integral image.
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.. ocv:function:: void gpu::integral(const GpuMat& src, GpuMat& sum, Stream& stream = Stream::Null())
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.. ocv:function:: void gpu::integral(const GpuMat& src, GpuMat& sum, GpuMat& sqsum, Stream& stream = Stream::Null())
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:param src: Source image. Only ``CV_8UC1`` images are supported for now.
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:param sum: Integral image containing 32-bit unsigned integer values packed into ``CV_32SC1`` .
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:param sqsum: Squared integral image of the ``CV_32FC1`` type.
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`integral`
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@@ -380,6 +376,22 @@ Converts an image from one color space to another.
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gpu::swapChannels
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-----------------
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Exchanges the color channels of an image in-place.
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.. ocv:function:: void gpu::swapChannels(GpuMat& image, const int dstOrder[4], Stream& stream = Stream::Null())
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:param src: Source image. Supports only ``CV_8UC4`` type.
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:param dstOrder: Integer array describing how channel values are permutated. The n-th entry of the array contains the number of the channel that is stored in the n-th channel of the output image. E.g. Given an RGBA image, aDstOrder = [3,2,1,0] converts this to ABGR channel order.
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:param stream: Stream for the asynchronous version.
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The methods support arbitrary permutations of the original channels, including replication.
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gpu::threshold
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------------------
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Applies a fixed-level threshold to each array element.
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@@ -489,7 +501,7 @@ Rotates an image around the origin (0,0) and then shifts it.
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.. ocv:function:: void gpu::rotate(const GpuMat& src, GpuMat& dst, Size dsize, double angle, double xShift = 0, double yShift = 0, int interpolation = INTER_LINEAR, Stream& stream = Stream::Null())
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:param src: Source image. ``CV_8UC1`` and ``CV_8UC4`` types are supported.
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:param src: Source image. Supports 1, 3 or 4 channels images with ``CV_8U`` , ``CV_16U`` or ``CV_32F`` depth.
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:param dst: Destination image with the same type as ``src`` . The size is ``dsize`` .
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@@ -751,6 +763,38 @@ Performs linear blending of two images.
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gpu::alphaComp
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-------------------
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Composites two images using alpha opacity values contained in each image.
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.. ocv:function:: void gpu::alphaComp(const GpuMat& img1, const GpuMat& img2, GpuMat& dst, int alpha_op, Stream& stream = Stream::Null())
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:param img1: First image. Supports ``CV_8UC4`` , ``CV_16UC4`` , ``CV_32SC4`` and ``CV_32FC4`` types.
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:param img1: Second image. Must have the same size and the same type as ``img1`` .
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:param dst: Destination image.
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:param alpha_op: Flag specifying the alpha-blending operation:
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* **ALPHA_OVER**
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* **ALPHA_IN**
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* **ALPHA_OUT**
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* **ALPHA_ATOP**
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* **ALPHA_XOR**
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* **ALPHA_PLUS**
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* **ALPHA_OVER_PREMUL**
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* **ALPHA_IN_PREMUL**
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* **ALPHA_OUT_PREMUL**
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* **ALPHA_ATOP_PREMUL**
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* **ALPHA_XOR_PREMUL**
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* **ALPHA_PLUS_PREMUL**
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* **ALPHA_PREMUL**
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:param stream: Stream for the asynchronous version.
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gpu::Canny
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-------------------
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Finds edges in an image using the [Canny86]_ algorithm.
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@@ -10,6 +10,7 @@ gpu::meanStdDev
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Computes a mean value and a standard deviation of matrix elements.
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.. ocv:function:: void gpu::meanStdDev(const GpuMat& mtx, Scalar& mean, Scalar& stddev)
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.. ocv:function:: void gpu::meanStdDev(const GpuMat& mtx, Scalar& mean, Scalar& stddev, GpuMat& buf);
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:param mtx: Source matrix. ``CV_8UC1`` matrices are supported for now.
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@@ -17,6 +18,8 @@ Computes a mean value and a standard deviation of matrix elements.
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:param stddev: Standard deviation value.
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:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically.
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.. seealso:: :ocv:func:`meanStdDev`
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@@ -63,7 +63,7 @@ Flips a 2D matrix around vertical, horizontal, or both axes.
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.. ocv:function:: void gpu::flip(const GpuMat& src, GpuMat& dst, int flipCode, Stream& stream = Stream::Null())
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:param src: Source matrix. Only ``CV_8UC1`` and ``CV_8UC4`` matrices are supported for now.
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:param src: Source matrix. Supports 1, 3 and 4 channels images with ``CV_8U``, ``CV_16U``, ``CV_32S`` or ``CV_32F`` depth.
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:param dst: Destination matrix.
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@@ -139,6 +139,50 @@ where ``I`` is a multi-dimensional index of array elements. In case of multi-cha
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gpu::abs
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------------
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Computes an absolute value of each matrix element.
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.. ocv:function:: void gpu::abs(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports ``CV_16S`` and ``CV_32F`` depth.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`abs`
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gpu::sqr
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------------
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Computes a square value of each matrix element.
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.. ocv:function:: void gpu::sqr(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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gpu::sqrt
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------------
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Computes a square root of each matrix element.
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.. ocv:function:: void gpu::sqrt(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`sqrt`
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gpu::exp
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@@ -147,7 +191,7 @@ Computes an exponent of each matrix element.
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.. ocv:function:: void gpu::exp(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. ``CV_32FC1`` matrixes are supported for now.
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:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
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:param dst: Destination matrix with the same size and type as ``src`` .
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@@ -157,6 +201,22 @@ Computes an exponent of each matrix element.
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gpu::log
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------------
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Computes a natural logarithm of absolute value of each matrix element.
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.. ocv:function:: void gpu::log(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`log`
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gpu::pow
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------------
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Raises every matrix element to a power.
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@@ -181,22 +241,6 @@ The function ``pow`` raises every element of the input matrix to ``p`` :
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gpu::log
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------------
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Computes a natural logarithm of absolute value of each matrix element.
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.. ocv:function:: void gpu::log(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. ``CV_32FC1`` matrixes are supported for now.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`log`
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gpu::absdiff
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----------------
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Computes per-element absolute difference of two matrices (or of a matrix and scalar).
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@@ -262,9 +306,10 @@ Performs a per-element bitwise inversion.
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gpu::bitwise_or
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-------------------
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Performs a per-element bitwise disjunction of two matrices.
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Performs a per-element bitwise disjunction of two matrices or of matrix and scalar.
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.. ocv:function:: void gpu::bitwise_or(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null())
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.. ocv:function:: void gpu::bitwise_or(const GpuMat& src1, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
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:param src1: First source matrix.
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@@ -280,9 +325,10 @@ Performs a per-element bitwise disjunction of two matrices.
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gpu::bitwise_and
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--------------------
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Performs a per-element bitwise conjunction of two matrices.
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Performs a per-element bitwise conjunction of two matrices or of matrix and scalar.
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.. ocv:function:: void gpu::bitwise_and(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null())
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.. ocv:function:: void gpu::bitwise_and(const GpuMat& src1, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
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:param src1: First source matrix.
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@@ -298,9 +344,10 @@ Performs a per-element bitwise conjunction of two matrices.
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gpu::bitwise_xor
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--------------------
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Performs a per-element bitwise ``exclusive or`` operation of two matrices.
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Performs a per-element bitwise ``exclusive or`` operation of two matrices of matrix and scalar.
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.. ocv:function:: void gpu::bitwise_xor(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null())
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.. ocv:function:: void gpu::bitwise_xor(const GpuMat& src1, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
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:param src1: First source matrix.
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@@ -314,6 +361,38 @@ Performs a per-element bitwise ``exclusive or`` operation of two matrices.
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gpu::rshift
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--------------------
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Performs pixel by pixel right shift of an image by a constant value.
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.. ocv:function:: void gpu::rshift(const GpuMat& src, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports 1, 3 and 4 channels images with integers elements.
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:param sc: Constant values, one per channel.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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gpu::lshift
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--------------------
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Performs pixel by pixel right left of an image by a constant value.
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.. ocv:function:: void gpu::lshift(const GpuMat& src, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports 1, 3 and 4 channels images with ``CV_8U`` , ``CV_16U`` or ``CV_32S`` depth.
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:param sc: Constant values, one per channel.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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gpu::min
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------------
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Computes the per-element minimum of two matrices (or a matrix and a scalar).
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