Here's a simple example using my object oriented Python API for LCMS with the ctypes library bindings. It uses numpy arrays as the native input/output data type of the buffers for conversion. The conversion uses a profile in the file system for input, and a built in profile for output. Here I'm converting 8 bit RGB to floating point Lab.
So far I have added the basics for profile and transformation handling, and
I've tried to automate as many things as possible to make it as easy to use,
but with the option pass certain features in as optional parameters if
needed. Transformations work e. g. with and without given output buffer. This
way in-place transformations, or transformations into existing buffers (or
images) are possible, as well as in the example the creation of a new
suitable matrix to store the values.
Any comments?
Guy
import numpy
import Lcms
# Read an input profile from the file system.
myProfile = Lcms.Profile('testdata/target.icc')
# Create an LCMS default profile for Lab.
labProfile = Lcms.Profile(colourSpace=Lcms.PT_Lab)
# Create a transformation object for
# device RGB (8 bit) -> Lab (double) conversion,
# rendering intent INTENT_PERCEPTUAL.
myTransform = Lcms.Transform(myProfile, labProfile, outputDepth=0)
rgbColours = numpy.array([[159, 189, 63],
[230, 162, 39]],
dtype=numpy.uint8)
# Transform just one colour tuple
labColours = myTransform.doTransform(rgbColours)
print 'RGB colours:\n', rgbColours
print 'Lab colours:\n', labColours
--
Guy K. Kloss
Institute of Information and Mathematical Sciences
Te Kura Pūtaiao o Mōhiohio me Pāngarau
Room 2.63, Quad Block A Building
Massey University, Auckland, Albany
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eMail: [EMAIL PROTECTED] http://www.massey.ac.nz/~gkloss/
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