Module opencv::cudaarithm

Operations on Matrices

Modules

• prelude

Structs

• Convolution
  Base class for convolution (or cross-correlation) operator. :
• DFT
  Base class for DFT operator as a cv::Algorithm. :
• LookUpTable
  Base class for transform using lookup table.

Traits

• ConvolutionTrait
  Mutable methods for crate::cudaarithm::Convolution
• ConvolutionTraitConst
  Constant methods for crate::cudaarithm::Convolution
• DFTTrait
  Mutable methods for crate::cudaarithm::DFT
• DFTTraitConst
  Constant methods for crate::cudaarithm::DFT
• LookUpTableTrait
  Mutable methods for crate::cudaarithm::LookUpTable
• LookUpTableTraitConst
  Constant methods for crate::cudaarithm::LookUpTable

Functions

• abs
  Computes an absolute value of each matrix element.
• abs_def
  Computes an absolute value of each matrix element.
• abs_sum
  Returns the sum of absolute values for matrix elements.
• abs_sum_def
  Returns the sum of absolute values for matrix elements.
• absdiff
  Computes per-element absolute difference of two matrices (or of a matrix and scalar).
• absdiff_def
  Computes per-element absolute difference of two matrices (or of a matrix and scalar).
• add
  Computes a matrix-matrix or matrix-scalar sum.
• add_def
  Computes a matrix-matrix or matrix-scalar sum.
• add_weighted
  Computes the weighted sum of two arrays.
• add_weighted_def
  Computes the weighted sum of two arrays.
• bitwise_and
  Performs a per-element bitwise conjunction of two matrices (or of matrix and scalar).
• bitwise_and_def
  Performs a per-element bitwise conjunction of two matrices (or of matrix and scalar).
• bitwise_not
  Performs a per-element bitwise inversion.
• bitwise_not_def
  Performs a per-element bitwise inversion.
• bitwise_or
  Performs a per-element bitwise disjunction of two matrices (or of matrix and scalar).
• bitwise_or_def
  Performs a per-element bitwise disjunction of two matrices (or of matrix and scalar).
• bitwise_xor
  Performs a per-element bitwise exclusive or operation of two matrices (or of matrix and scalar).
• bitwise_xor_def
  Performs a per-element bitwise exclusive or operation of two matrices (or of matrix and scalar).
• calc_abs_sum
  This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• calc_abs_sum_def
  @overload
• calc_norm
  This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• calc_norm_def
  @overload
• calc_norm_diff
  This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• calc_norm_diff_def
  @overload
• calc_sqr_sum
  This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• calc_sqr_sum_def
  @overload
• calc_sum
  This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• calc_sum_def
  @overload
• cart_to_polar
  Converts Cartesian coordinates into polar.
• cart_to_polar_def
  Converts Cartesian coordinates into polar.
• compare
  Compares elements of two matrices (or of a matrix and scalar).
• compare_def
  Compares elements of two matrices (or of a matrix and scalar).
• copy_make_border
  Forms a border around an image.
• copy_make_border_def
  Forms a border around an image.
• count_non_zero
  Counts non-zero matrix elements.
• count_non_zero_1
  Counts non-zero matrix elements.
• count_non_zero_1_def
  @overload
• create_convolution
  Creates implementation for cuda::Convolution .
• create_convolution_def
  Creates implementation for cuda::Convolution .
• create_dft
  Creates implementation for cuda::DFT.
• create_look_up_table
  Creates implementation for cuda::LookUpTable .
• dft
  Performs a forward or inverse discrete Fourier transform (1D or 2D) of the floating point matrix.
• dft_def
  Performs a forward or inverse discrete Fourier transform (1D or 2D) of the floating point matrix.
• divide
  Computes a matrix-matrix or matrix-scalar division.
• divide_def
  Computes a matrix-matrix or matrix-scalar division.
• exp
  Computes an exponent of each matrix element.
• exp_def
  Computes an exponent of each matrix element.
• find_min_max
  This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• find_min_max_def
  @overload
• find_min_max_loc
  This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• find_min_max_loc_def
  @overload
• flip
  Flips a 2D matrix around vertical, horizontal, or both axes.
• flip_def
  Flips a 2D matrix around vertical, horizontal, or both axes.
• gemm
  Performs generalized matrix multiplication.
• gemm_def
  Performs generalized matrix multiplication.
• in_range
  Checks if array elements lie between two scalars.
• in_range_def
  Checks if array elements lie between two scalars.
• integral
  Computes an integral image.
• integral_def
  Computes an integral image.
• log
  Computes a natural logarithm of absolute value of each matrix element.
• log_def
  Computes a natural logarithm of absolute value of each matrix element.
• lshift
  Performs pixel by pixel right left of an image by a constant value.
• lshift_1
  C++ default parameters
• lshift_1_def
  Note
• lshift_def
  Performs pixel by pixel right left of an image by a constant value.
• magnitude
  Computes magnitudes of complex matrix elements.
• magnitude_1
  Computes magnitudes of complex matrix elements.
• magnitude_1_def
  @overload computes magnitude of each (x(i), y(i)) vector supports only floating-point source
• magnitude_def
  Computes magnitudes of complex matrix elements.
• magnitude_sqr
  Computes squared magnitudes of complex matrix elements.
• magnitude_sqr_1
  Computes squared magnitudes of complex matrix elements.
• magnitude_sqr_1_def
  @overload computes squared magnitude of each (x(i), y(i)) vector supports only floating-point source
• magnitude_sqr_def
  Computes squared magnitudes of complex matrix elements.
• max
  Computes the per-element maximum of two matrices (or a matrix and a scalar).
• max_def
  Computes the per-element maximum of two matrices (or a matrix and a scalar).
• mean_std_dev
  Computes a mean value and a standard deviation of matrix elements.
• mean_std_dev_1
  Computes a mean value and a standard deviation of matrix elements.
• mean_std_dev_2
  Computes a mean value and a standard deviation of matrix elements.
• mean_std_dev_3
  Computes a mean value and a standard deviation of matrix elements.
• mean_std_dev_1_def
  @overload
• mean_std_dev_def
  Computes a mean value and a standard deviation of matrix elements.
• merge
  Makes a multi-channel matrix out of several single-channel matrices.
• merge_1
  Makes a multi-channel matrix out of several single-channel matrices.
• merge_1_def
  @overload
• merge_def
  Makes a multi-channel matrix out of several single-channel matrices.
• min
  Computes the per-element minimum of two matrices (or a matrix and a scalar).
• min_def
  Computes the per-element minimum of two matrices (or a matrix and a scalar).
• min_max
  Finds global minimum and maximum matrix elements and returns their values.
• min_max_def
  Finds global minimum and maximum matrix elements and returns their values.
• min_max_loc
  Finds global minimum and maximum matrix elements and returns their values with locations.
• min_max_loc_def
  Finds global minimum and maximum matrix elements and returns their values with locations.
• mul_and_scale_spectrums
  Performs a per-element multiplication of two Fourier spectrums and scales the result.
• mul_and_scale_spectrums_def
  Performs a per-element multiplication of two Fourier spectrums and scales the result.
• mul_spectrums
  Performs a per-element multiplication of two Fourier spectrums.
• mul_spectrums_def
  Performs a per-element multiplication of two Fourier spectrums.
• multiply
  Computes a matrix-matrix or matrix-scalar per-element product.
• multiply_def
  Computes a matrix-matrix or matrix-scalar per-element product.
• norm
  Returns the norm of a matrix (or difference of two matrices).
• norm_1
  Returns the difference of two matrices.
• norm_1_def
  Returns the difference of two matrices.
• norm_def
  Returns the norm of a matrix (or difference of two matrices).
• normalize
  Normalizes the norm or value range of an array.
• normalize_def
  Normalizes the norm or value range of an array.
• phase
  Computes polar angles of complex matrix elements.
• phase_def
  Computes polar angles of complex matrix elements.
• polar_to_cart
  Converts polar coordinates into Cartesian.
• polar_to_cart_def
  Converts polar coordinates into Cartesian.
• pow
  Raises every matrix element to a power.
• pow_def
  Raises every matrix element to a power.
• rect_std_dev
  Computes a standard deviation of integral images.
• rect_std_dev_def
  Computes a standard deviation of integral images.
• reduce
  Reduces a matrix to a vector.
• reduce_def
  Reduces a matrix to a vector.
• rshift
  Performs pixel by pixel right shift of an image by a constant value.
• rshift_1
  C++ default parameters
• rshift_1_def
  Note
• rshift_def
  Performs pixel by pixel right shift of an image by a constant value.
• split
  Copies each plane of a multi-channel matrix into an array.
• split_1
  Copies each plane of a multi-channel matrix into an array.
• split_1_def
  @overload
• split_def
  Copies each plane of a multi-channel matrix into an array.
• sqr
  Computes a square value of each matrix element.
• sqr_def
  Computes a square value of each matrix element.
• sqr_integral
  Computes a squared integral image.
• sqr_integral_def
  Computes a squared integral image.
• sqr_sum
  Returns the squared sum of matrix elements.
• sqr_sum_def
  Returns the squared sum of matrix elements.
• sqrt
  Computes a square root of each matrix element.
• sqrt_def
  Computes a square root of each matrix element.
• subtract
  Computes a matrix-matrix or matrix-scalar difference.
• subtract_def
  Computes a matrix-matrix or matrix-scalar difference.
• sum
  Returns the sum of matrix elements.
• sum_def
  Returns the sum of matrix elements.
• threshold
  Applies a fixed-level threshold to each array element.
• threshold_def
  Applies a fixed-level threshold to each array element.
• transpose
  Transposes a matrix.
• transpose_def
  Transposes a matrix.