func Avgf(vals ...float32) float32
Avgf returns the average of the values given
func Avgff(vals ...float64) float64
Avgff returns the average of the values given
func Avgffl(vals []float64) float64
Avgffl returns the average of the values given
func Avgfl(vals []float32) float32
Avgfl returns the average of the values given
func Avgi(vals ...int) int
Avgi returns the average of the values given
func Avgil(vals []int) int
Avgil returns the average of the values given
func Linspacef(start, end float32, vals int) []float32
Linspacef returns an array of equally spaced numbers between start and end (inclusive!) just like matlab's linspace() function
func Linspaceff(start, end float64, vals int) []float64
Linspaceff returns an array of equally spaced numbers between start and end (inclusive!) just like matlab's linspace() function
func Linspacei(start, end, vals int) []int
Linspacei returns an array of equally spaced numbers between start and end (inclusive!) just like matlab's linspace() function
func Maxf(a ...float32) float32
Maxf finds the max of all values passed in
func Maxff(a ...float64) float64
Maxff finds the max of all values passed in
func Maxffl(a []float64) float64
Maxffl finds the max of a list
func Maxfl(a []float32) float32
Maxfl finds the max of a list
func Maxi(a ...int) int
Maxi finds the max of all values passed in
func Maxil(a []int) int
Maxil finds the max of a list
func Roundf(f float32) float32
Roundf returns the rounded value of input
func Roundff(f float64) float64
Roundff returns the rounded value of input
func Sumf(a ...float32) float32
Sumf returns the sum of all float32 variables passed in
func Sumff(a ...float64) float64
Sumff returns the sum of all float64 variables passed in
func Sumffl(a []float64) float64
Sumffl returns the sum of all float64 variables passed in
func Sumfl(a []float32) float32
Sumfl returns the sum of all float32 variables passed in
func Sumi(a ...int) int
Sumi returns the sum of all uint8 variables passed in
func Sumil(a []int) int
Sumil returns the sum of all uint8 variables passed in
type Matrix interface {
Pretty()
}
Matrix is an overarching interface for the specific matrices to be derived from allowing overloading non-type specific methods like scalar multiplication
type Matrixb struct {
Data [][]bool
}
Matrixb defines a 2-dimensional binary bit map for increased efficiency and performance in matrix operations
func MatOnesb(rows, cols int) *Matrixb
MatOnesb returns a binary matrix full of 'true' values instead of the default 'false' map
func NewMatrixb(rows, cols int) *Matrixb
NewMatrixb constructs a binary Matrix with specified rows and columns, returning the pointer to the new binary matrix
func (m1 *Matrixb) Getcol(n int) []bool
Getcol will retrieve all values from a given column and return them as a slice
func (m1 Matrixb) MatEqual(m ...Matrixb) bool
MatEqual determines if multiple matrices are completely equivalent
func (m1 Matrixb) Pretty()
Pretty prints out the values of the matrix in a visually readable way
func (m1 *Matrixb) Unpackc(col int, vals ...bool)
Unpackc unpacks all values into a given col
func (m1 *Matrixb) Unpackcl(col int, vals []bool)
Unpackcl unpacks all values into a given col
func (m1 *Matrixb) Unpackr(row int, vals ...bool)
Unpackr unpacks all values into a given row
func (m1 *Matrixb) Unpackrl(row int, vals []bool)
Unpackrl unpacks all values into a given row
type Matrixf struct {
Rows int
Cols int
Data [][]float32
}
Matrixf is a 32bit floating point struct to streamline matrix operations
func Gscmap(vals, max int) *Matrixf
Gscmap returns a float32 N by 3 matrix with resultant r,g,b values for (vals) discrete levels. Similar to Matlab's 'gray()' command. Thus, Gscmap will return a (12*n) byte matrix.
func MatOnesf(rows, cols int) *Matrixf
MatOnesf replicates matlab's ones() function. Returns a new 32bit floating point matrix full of 1's
func MattoImgf(pts *Matrixf, xcol, ycol, wid, hei int) *Matrixf
MattoImgf converts a list of points with intensity values to an image array
func NewMatrixf(rows, cols int) *Matrixf
NewMatrixf constructs a Matrix structure with specified rows and columns, returning the pointer to the new 32bit floating point matrix
func ReadMEP(file string, xcol, ycol, zcol, MEPcol int) (*Matrixf, error)
ReadMEP takes MEP values from a csvfile and returns an array of hotspot points.
func (m1 Matrixf) Combinelr(m ...Matrixf) *Matrixf
Combinelr combines multiple matrices into one larger matrix, appending to the m1 matrix from left to right. If one matrix has more rows than another, the extraneous rows will be zero-valued. Example: if [1,2;3,4] and [5] are appended, the output will be [1,2,5;3,4,0].
func (m1 Matrixf) Cramer(vargin ...float32) []float32
Cramer solves a system of equations using Cramer's rule. Note that a more efficient systems solver should be implemented in the future.
func (m1 Matrixf) Det() float32
Det uses laplace expansion to find the determinant of 2x2, 3x3, and 4x4 matrices
func (m1 Matrixf) Dot(m2 Matrixf) float32
Dot performs simple dot product multiplication for two float32 matrices
func (m1 *Matrixf) Getcol(n int) []float32
Getcol will retrieve all values from a given column and return them as a slice
func (m1 Matrixf) MatEqual(m ...Matrixf) bool
MatEqual determines if multiple matrices are completely equivalent
func (m1 *Matrixf) Maxa() float32
Maxa will find the total maximum of a matrix
func (m1 *Matrixf) Maxc() []float32
Maxc will find the maximum in each column of a matrix
func (m1 *Matrixf) Maxr() []float32
Maxr will find the maximum in each row of a matrix
func (m1 Matrixf) Pretty()
Pretty prints out the values of the matrix in a visually readable way
func (m1 Matrixf) Scale(s float32) Matrixf
Scale performs simple scalar matrix multiplication for float32 matrices
func (m1 Matrixf) Times(m2 Matrixf) *Matrixf
Times returns the matrix multiplication of the input matrices
func (m1 *Matrixf) ToMatf()
ToMatf will panic if you try to convert a float32 matrix into a float32 matrix
func (m1 *Matrixf) ToMatff() *Matrixff
ToMatff will reassign the values of a float64 matrix into a float32 matrix
func (m1 *Matrixf) ToMati() *Matrixi
ToMati will reassign the values of a float32 matrix into an integer matrix
func (m1 Matrixf) Transpose() *Matrixf
Transpose returns the transpose of the input matrix
func (m1 *Matrixf) Unpackc(col int, vals ...float32)
Unpackc unpacks all values into a given column
func (m1 *Matrixf) Unpackcl(col int, vals []float32)
Unpackcl unpacks all values from a list into a given column
func (m1 *Matrixf) Unpackr(row int, vals ...float32)
Unpackr unpacks all values into a given row
func (m1 *Matrixf) Unpackrl(row int, vals []float32)
Unpackrl unpacks all values into a given row
type Matrixff struct {
Rows int
Cols int
Data [][]float64
}
Matrixff is a 64bit floating point struct to streamline matrix operations
func MatOnesff(rows, cols int) *Matrixff
MatOnesff replicates matlab's ones() function. Returns a new 64bit floating point matrix full of 1's
func MattoImgff(pts *Matrixff, xcol, ycol, wid, hei int) *Matrixff
MattoImgff converts a list of points with intensity values to an image array
func NewMatrixff(rows, cols int) *Matrixff
NewMatrixff constructs a Matrix structure with specified rows and columns, returning the pointer to the new 64bit floating point matrix
func (m1 Matrixff) Combinelr(m ...Matrixff) *Matrixff
Combinelr combines multiple matrices into one larger matrix, appending to the m1 matrix from left to right. If one matrix has more rows than another, the extraneous rows will be zero-valued. Example: if [1,2;3,4] and [5] are appended, the output will be [1,2,5;3,4,0].
func (m1 Matrixff) Cramer(vargin ...float64) []float64
Cramer solves a system of equations using Cramer's rule. Note that a more efficient systems solver should be implemented in the future.
func (m1 Matrixff) Det() float64
Det uses laplace expansion to find the determinant of 2x2, 3x3, and 4x4 matrices
func (m1 Matrixff) Dot(m2 Matrixff) float64
Dot performs simple dot product multiplication for two float64 matrices
func (m1 *Matrixff) Getcol(n int) []float64
Getcol will retrieve all values from a given column and return them as a slice
func (m1 Matrixff) MatEqual(m ...Matrixff) bool
MatEqual determines if multiple matrices are completely equivalent
func (m1 *Matrixff) Maxa() float64
Maxa will find the total maximum of a matrix
func (m1 *Matrixff) Maxc() []float64
Maxc will find the maximum in each column of a matrix
func (m1 *Matrixff) Maxr() []float64
Maxr will find the maximum in each row of a matrix
func (m1 Matrixff) Pretty()
Pretty prints out the values of the matrix in a visually readable way
func (m1 Matrixff) Scale(s float64) Matrixff
Scale performs simple scalar matrix multiplication for float64 matrices
func (m1 Matrixff) Times(m2 Matrixff) *Matrixff
Times returns the matrix multiplication of the input matrices
func (m1 *Matrixff) ToMatf() *Matrixf
ToMatf will reassign the values of a float64 matrix into a float32 matrix
func (m1 *Matrixff) ToMatff()
ToMatff will panic if you try to convert a float64 matrix into a float64 matrix
func (m1 *Matrixff) ToMati() *Matrixi
ToMati will reassign the values of a float64 matrix into an integer matrix
func (m1 Matrixff) Transpose() *Matrixff
Transpose returns the transpose of the input matrix
func (m1 *Matrixff) Unpackc(col int, vals ...float64)
Unpackc unpacks all values into a given column
func (m1 *Matrixff) Unpackcl(col int, vals []float64)
Unpackcl unpacks all values from a list into a given column
func (m1 *Matrixff) Unpackr(row int, vals ...float64)
Unpackr unpacks all values into a given row
func (m1 *Matrixff) Unpackrl(row int, vals []float64)
Unpackrl unpacks all values into a given row
type Matrixi struct {
Rows int
Cols int
Data [][]int
}
Matrixi is an 8bit unsigned integer struct to streamline matrix operations
func MatOnesi(rows, cols int) *Matrixi
MatOnesi replicates matlab's ones() function. Returns a new integer matrix full of 1's
func MattoImgi(pts *Matrixi, xcol, ycol, wid, hei int) *Matrixi
MattoImgi converts a list of points with intensity values to an image array
func NewMatrixi(rows, cols int) *Matrixi
NewMatrixi constructs a integer containing Matrix structure with specified rows and columns, returning the pointer to the new matrix
func Randmat(row, col, maxn int) *Matrixi
Randmat returns a matrix of pseudo-random values
func (m1 Matrixi) Combinelr(m ...Matrixi) *Matrixi
Combinelr combines multiple matrices into one larger matrix, appending to the m1 matrix from left to right. If one matrix has more rows than another, the extraneous rows will be zero-valued. Example: if [1,2;3,4] and [5] are appended, the output will be [1,2,5;3,4,0].
func (m1 Matrixi) Cramer(vargin ...int) []int
Cramer solves a system of equations using Cramer's rule. Note that a more efficient systems solver should be implemented in the future.
func (m1 Matrixi) Det() int
Det uses laplace expansion to find the determinant of 2x2, 3x3, and 4x4 matrices
func (m1 Matrixi) Dot(m2 Matrixi) int
Dot performs simple dot product multiplication for two uint8 matrices
func (m1 *Matrixi) Getcol(n int) []int
Getcol will retrieve all values from a given column and return them as a slice
func (m1 Matrixi) MatEqual(m ...Matrixi) bool
MatEqual determines if multiple matrices are completely equivalent
func (m1 *Matrixi) Maxa() int
Maxa will find the total maximum of a matrix
func (m1 *Matrixi) Maxc() []int
Maxc will find the maximum in each column of a matrix
func (m1 *Matrixi) Maxr() []int
Maxr will find the maximum in each row of a matrix
func (m1 Matrixi) Pretty()
Pretty prints out the values of the matrix in a visually readable way
func (m1 Matrixi) Scale(s int) Matrixi
Scale performs simple scalar matrix multiplication for uint8 matrices
func (m1 Matrixi) Times(m2 Matrixi) *Matrixi
Times returns the matrix multiplication of the input matrices
func (m1 *Matrixi) ToMatf() *Matrixf
ToMatf will reassign the values of an integer matrix into a float32 matrix
func (m1 *Matrixi) ToMatff() *Matrixff
ToMatff will reassign the values of a float64 matrix into a float32 matrix
func (m1 *Matrixi) ToMati()
ToMati will panic if you try to convert an integer matrix into an integer matrix
func (m1 Matrixi) Transpose() *Matrixi
Transpose returns the transpose of the input matrix
func (m1 *Matrixi) Unpackc(col int, vals ...int)
Unpackc unpacks all values into a given column
func (m1 *Matrixi) Unpackcl(col int, vals []int)
Unpackcl unpacks all values from a list into a given column
func (m1 *Matrixi) Unpackr(row int, vals ...int)
Unpackr unpacks all values into a given row
func (m1 *Matrixi) Unpackrl(row int, vals []int)
Unpackrl unpacks all values into a given row
type Point2f struct {
X, Y, V float32
}
Point2f defines a 2d float32 point
type Point2ff struct {
X, Y, V float64
}
Point2ff defines a 2d float64 point
type Point2i struct {
X, Y, V int
}
Point2i defines a 2d integer point
type Point3f struct {
X, Y, Z, V float32
}
Point3f defines a 3d float32 point
type Point3ff struct {
X, Y, Z, V float64
}
Point3ff defines a 3d float64 point
type Point3i struct {
X, Y, Z, V int
}
Point3i defines a 3d integer point
type PointCloud2f struct {
Pts []Point2f
// contains filtered or unexported fields
}
PointCloud2f is a method of storing point clouds of points
type Pointf interface {
}
Pointf defines an interface for 2d and 3d float32 points
type Pointff interface {
}
Pointff defines an interface for 2d and 3d float64 points
type Pointi interface {
}
Pointi defines an interface for 2d and 3d int points