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Arrlib is the image processing library which provides the foundation
of the tools in the Scorpion Toolbox. The python module arrlib provides low level python access to all the Arrlib functions and
data structures. For backward compatibility the old modules arr
and geom are also supported. (For differences, see the
section below.) arrlib encapsulates Arrlib data and
functions. It supports large vectors and matrices made up from these
element types:
- integers (signed, unsigned - various sizes)
- floats (float or double)
- 2- 3- 4- or 5-element "small vectors" with element names X, Y,
Z, W and V
- 2x2, 3x3, 3x4 and 4x4 "small matrices" with element names
m11, m12 and so forth
- 2- and 3-dimensional lines, boxes and circles
- colour pixels (RGB and HSI elements in integer or float
versions)
Examples:
- im = arrlib.uint8Mat(480,640) - 480 by 640 greyscale image
- plg = arrlib.xyfVec(100) - 100-element polygon of
2-dimensional points
- grid = arrlib.xyfMat(32,32) - 32x32 matrix of 2-dimensional
points. Useful e.g. as a resampling grid. See examples.
Small
vectors or matrices are available as singletons. These can be used as operands in various
methods and operations involving scalars, other singletons,
arrlib matrices and
vectors, and Arrlib functions.
Examples:
- m = arrlib.m33f() - 3x3 float matrix
- l = arrlib.lin2f() - 2-dimensional line
Import statements
To use Arrlib, simply use
import arrlib
or
from arrlib import *
The older modules are called arr and geom, respectively. So for
backward compatibility
import arr
import geom
or
from arr import *
from geom import *
See also:
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