Library
Module
Module type
Parameter
Class
Class type
Affine Transformations in Two Dimensions
type transform = transform_op list
A list of transformations, the first at the end of the list (thus, to append another transformation, just cons to the beginning.)
A transformation matrix (first row a c e
, second row b d f
, third row 0 0 1
)
val i : transform
The identity transform
val string_of_transform : transform -> string
Make a string of a transform for debug purposes.
val i_matrix : transform_matrix
The identity matrix
val string_of_matrix : transform_matrix -> string
String of a transformation matrix.
val mktranslate : float -> float -> transform_matrix
Make a transformation matrix from x and y translation.
val mkscale : (float * float) -> float -> float -> transform_matrix
Make a transformation matrix from an x and y scale and a point to scale about.
val mkrotate : (float * float) -> float -> transform_matrix
Make a rotation matrix to rotate by a number of radians around a point.
val mkshearx : (float * float) -> float -> transform_matrix
Matrix to shear in x by a given factor about a point.
val mksheary : (float * float) -> float -> transform_matrix
Matrix to shear in y by a given factor about a point.
val compose : transform_op -> transform -> transform
compose t ts
adds operation t
to the transform ts
.
append a b
is a transform with the same effect as performing b then a
val matrix_compose : transform_matrix -> transform_matrix -> transform_matrix
compose a b
produces a matrix equivalent to performing b
then a
.
val matrix_of_op : transform_op -> transform_matrix
Make a matrix from a single transformation operation
val matrix_of_transform : transform -> transform_matrix
Make a matrix from a transform
val matrix_invert : transform_matrix -> transform_matrix
Matrix inversion. May raise NonInvertable
val transform : transform -> (float * float) -> float * float
Transform a coordinate by a given transform.
val transform_matrix : transform_matrix -> (float * float) -> float * float
Transform a coordinate by a given transformation matrix.
val decompose :
transform_matrix ->
float * float * float * float * float * float
Decompose a transformation matrix to scale, aspect, rotation, shear, translation in x, translation in y. Always succeeds, but results are not guaranteed to mean anything.
val recompose :
float ->
float ->
float ->
float ->
float ->
float ->
transform_matrix
Recompose from the above information. It is not guaranteed that recompose (decompose t) = t