OpenCV
4.0.0
Open Source Computer Vision
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Functions | |
Scalar | cv::cuda::absSum (InputArray src, InputArray mask=noArray()) |
Returns the sum of absolute values for matrix elements. More... | |
void | cv::cuda::calcAbsSum (InputArray src, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
void | cv::cuda::calcNorm (InputArray src, OutputArray dst, int normType, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
void | cv::cuda::calcNormDiff (InputArray src1, InputArray src2, OutputArray dst, int normType=NORM_L2, Stream &stream=Stream::Null()) |
void | cv::cuda::calcSqrSum (InputArray src, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
void | cv::cuda::calcSum (InputArray src, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
int | cv::cuda::countNonZero (InputArray src) |
Counts non-zero matrix elements. More... | |
void | cv::cuda::countNonZero (InputArray src, OutputArray dst, Stream &stream=Stream::Null()) |
void | cv::cuda::findMinMax (InputArray src, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
void | cv::cuda::findMinMaxLoc (InputArray src, OutputArray minMaxVals, OutputArray loc, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
void | cv::cuda::integral (InputArray src, OutputArray sum, Stream &stream=Stream::Null()) |
Computes an integral image. More... | |
void | cv::cuda::meanStdDev (InputArray mtx, Scalar &mean, Scalar &stddev) |
Computes a mean value and a standard deviation of matrix elements. More... | |
void | cv::cuda::meanStdDev (InputArray mtx, OutputArray dst, Stream &stream=Stream::Null()) |
void | cv::cuda::minMax (InputArray src, double *minVal, double *maxVal, InputArray mask=noArray()) |
Finds global minimum and maximum matrix elements and returns their values. More... | |
void | cv::cuda::minMaxLoc (InputArray src, double *minVal, double *maxVal, Point *minLoc, Point *maxLoc, InputArray mask=noArray()) |
Finds global minimum and maximum matrix elements and returns their values with locations. More... | |
double | cv::cuda::norm (InputArray src1, int normType, InputArray mask=noArray()) |
Returns the norm of a matrix (or difference of two matrices). More... | |
double | cv::cuda::norm (InputArray src1, InputArray src2, int normType=NORM_L2) |
Returns the difference of two matrices. More... | |
void | cv::cuda::normalize (InputArray src, OutputArray dst, double alpha, double beta, int norm_type, int dtype, InputArray mask=noArray(), Stream &stream=Stream::Null()) |
Normalizes the norm or value range of an array. More... | |
void | cv::cuda::rectStdDev (InputArray src, InputArray sqr, OutputArray dst, Rect rect, Stream &stream=Stream::Null()) |
Computes a standard deviation of integral images. More... | |
void | cv::cuda::reduce (InputArray mtx, OutputArray vec, int dim, int reduceOp, int dtype=-1, Stream &stream=Stream::Null()) |
Reduces a matrix to a vector. More... | |
void | cv::cuda::sqrIntegral (InputArray src, OutputArray sqsum, Stream &stream=Stream::Null()) |
Computes a squared integral image. More... | |
Scalar | cv::cuda::sqrSum (InputArray src, InputArray mask=noArray()) |
Returns the squared sum of matrix elements. More... | |
Scalar | cv::cuda::sum (InputArray src, InputArray mask=noArray()) |
Returns the sum of matrix elements. More... | |
Scalar cv::cuda::absSum | ( | InputArray | src, |
InputArray | mask = noArray() |
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Returns the sum of absolute values for matrix elements.
src | Source image of any depth except for CV_64F . |
mask | optional operation mask; it must have the same size as src1 and CV_8UC1 type. |
void cv::cuda::calcAbsSum | ( | InputArray | src, |
OutputArray | dst, | ||
InputArray | mask = noArray() , |
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Stream & | stream = Stream::Null() |
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This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::calcNorm | ( | InputArray | src, |
OutputArray | dst, | ||
int | normType, | ||
InputArray | mask = noArray() , |
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Stream & | stream = Stream::Null() |
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This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::calcNormDiff | ( | InputArray | src1, |
InputArray | src2, | ||
OutputArray | dst, | ||
int | normType = NORM_L2 , |
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Stream & | stream = Stream::Null() |
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This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::calcSqrSum | ( | InputArray | src, |
OutputArray | dst, | ||
InputArray | mask = noArray() , |
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Stream & | stream = Stream::Null() |
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This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::calcSum | ( | InputArray | src, |
OutputArray | dst, | ||
InputArray | mask = noArray() , |
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Stream & | stream = Stream::Null() |
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This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
int cv::cuda::countNonZero | ( | InputArray | src | ) |
Counts non-zero matrix elements.
src | Single-channel source image. |
The function does not work with CV_64F images on GPUs with the compute capability < 1.3.
void cv::cuda::countNonZero | ( | InputArray | src, |
OutputArray | dst, | ||
Stream & | stream = Stream::Null() |
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) |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::findMinMax | ( | InputArray | src, |
OutputArray | dst, | ||
InputArray | mask = noArray() , |
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Stream & | stream = Stream::Null() |
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This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::findMinMaxLoc | ( | InputArray | src, |
OutputArray | minMaxVals, | ||
OutputArray | loc, | ||
InputArray | mask = noArray() , |
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Stream & | stream = Stream::Null() |
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) |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::integral | ( | InputArray | src, |
OutputArray | sum, | ||
Stream & | stream = Stream::Null() |
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void cv::cuda::meanStdDev | ( | InputArray | mtx, |
Scalar & | mean, | ||
Scalar & | stddev | ||
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Computes a mean value and a standard deviation of matrix elements.
mtx | Source matrix. CV_8UC1 matrices are supported for now. |
mean | Mean value. |
stddev | Standard deviation value. |
void cv::cuda::meanStdDev | ( | InputArray | mtx, |
OutputArray | dst, | ||
Stream & | stream = Stream::Null() |
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) |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void cv::cuda::minMax | ( | InputArray | src, |
double * | minVal, | ||
double * | maxVal, | ||
InputArray | mask = noArray() |
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Finds global minimum and maximum matrix elements and returns their values.
src | Single-channel source image. |
minVal | Pointer to the returned minimum value. Use NULL if not required. |
maxVal | Pointer to the returned maximum value. Use NULL if not required. |
mask | Optional mask to select a sub-matrix. |
The function does not work with CV_64F images on GPUs with the compute capability < 1.3.
void cv::cuda::minMaxLoc | ( | InputArray | src, |
double * | minVal, | ||
double * | maxVal, | ||
Point * | minLoc, | ||
Point * | maxLoc, | ||
InputArray | mask = noArray() |
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Finds global minimum and maximum matrix elements and returns their values with locations.
src | Single-channel source image. |
minVal | Pointer to the returned minimum value. Use NULL if not required. |
maxVal | Pointer to the returned maximum value. Use NULL if not required. |
minLoc | Pointer to the returned minimum location. Use NULL if not required. |
maxLoc | Pointer to the returned maximum location. Use NULL if not required. |
mask | Optional mask to select a sub-matrix. |
The function does not work with CV_64F images on GPU with the compute capability < 1.3.
double cv::cuda::norm | ( | InputArray | src1, |
int | normType, | ||
InputArray | mask = noArray() |
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Returns the norm of a matrix (or difference of two matrices).
src1 | Source matrix. Any matrices except 64F are supported. |
normType | Norm type. NORM_L1 , NORM_L2 , and NORM_INF are supported for now. |
mask | optional operation mask; it must have the same size as src1 and CV_8UC1 type. |
double cv::cuda::norm | ( | InputArray | src1, |
InputArray | src2, | ||
int | normType = NORM_L2 |
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Returns the difference of two matrices.
src1 | Source matrix. Any matrices except 64F are supported. |
src2 | Second source matrix (if any) with the same size and type as src1. |
normType | Norm type. NORM_L1 , NORM_L2 , and NORM_INF are supported for now. |
void cv::cuda::normalize | ( | InputArray | src, |
OutputArray | dst, | ||
double | alpha, | ||
double | beta, | ||
int | norm_type, | ||
int | dtype, | ||
InputArray | mask = noArray() , |
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Stream & | stream = Stream::Null() |
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Normalizes the norm or value range of an array.
src | Input array. |
dst | Output array of the same size as src . |
alpha | Norm value to normalize to or the lower range boundary in case of the range normalization. |
beta | Upper range boundary in case of the range normalization; it is not used for the norm normalization. |
norm_type | Normalization type ( NORM_MINMAX , NORM_L2 , NORM_L1 or NORM_INF ). |
dtype | When negative, the output array has the same type as src; otherwise, it has the same number of channels as src and the depth =CV_MAT_DEPTH(dtype). |
mask | Optional operation mask. |
stream | Stream for the asynchronous version. |
void cv::cuda::rectStdDev | ( | InputArray | src, |
InputArray | sqr, | ||
OutputArray | dst, | ||
Rect | rect, | ||
Stream & | stream = Stream::Null() |
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Computes a standard deviation of integral images.
src | Source image. Only the CV_32SC1 type is supported. |
sqr | Squared source image. Only the CV_32FC1 type is supported. |
dst | Destination image with the same type and size as src . |
rect | Rectangular window. |
stream | Stream for the asynchronous version. |
void cv::cuda::reduce | ( | InputArray | mtx, |
OutputArray | vec, | ||
int | dim, | ||
int | reduceOp, | ||
int | dtype = -1 , |
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Stream & | stream = Stream::Null() |
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Reduces a matrix to a vector.
mtx | Source 2D matrix. |
vec | Destination vector. Its size and type is defined by dim and dtype parameters. |
dim | Dimension index along which the matrix is reduced. 0 means that the matrix is reduced to a single row. 1 means that the matrix is reduced to a single column. |
reduceOp | Reduction operation that could be one of the following:
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dtype | When it is negative, the destination vector will have the same type as the source matrix. Otherwise, its type will be CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), mtx.channels()) . |
stream | Stream for the asynchronous version. |
The function reduce reduces the matrix to a vector by treating the matrix rows/columns as a set of 1D vectors and performing the specified operation on the vectors until a single row/column is obtained. For example, the function can be used to compute horizontal and vertical projections of a raster image. In case of CV_REDUCE_SUM and CV_REDUCE_AVG , the output may have a larger element bit-depth to preserve accuracy. And multi-channel arrays are also supported in these two reduction modes.
void cv::cuda::sqrIntegral | ( | InputArray | src, |
OutputArray | sqsum, | ||
Stream & | stream = Stream::Null() |
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Computes a squared integral image.
src | Source image. Only CV_8UC1 images are supported for now. |
sqsum | Squared integral image containing 64-bit unsigned integer values packed into CV_64FC1 . |
stream | Stream for the asynchronous version. |
Scalar cv::cuda::sqrSum | ( | InputArray | src, |
InputArray | mask = noArray() |
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Returns the squared sum of matrix elements.
src | Source image of any depth except for CV_64F . |
mask | optional operation mask; it must have the same size as src1 and CV_8UC1 type. |
Scalar cv::cuda::sum | ( | InputArray | src, |
InputArray | mask = noArray() |
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Returns the sum of matrix elements.
src | Source image of any depth except for CV_64F . |
mask | optional operation mask; it must have the same size as src1 and CV_8UC1 type. |