Hi,
I'm currently working on extending the ctypes based LCMS bindings, and I want
to support PIL image types natively inside the doTransform() method on a
Transform object.
Anyway, for that task I need to distinguish between different valid object
types for the input buffer to decide which action to take. For NumPy arrays
that works nicely, but I don't know how to distinguish properly whether I'm
dealing with a PIL.Image type object. Below you can find some of the
tinkerings of the "obvious" candidates.
So far it seems as if only the last one gives me a viable option, but it
doesn't strike me as being very pythonic, elegant or even clean in the code.
Any suggestions?
Guy
>>> type(a_numpy_array)
<type 'numpy.ndarray'>
>>> isinstance(a_numpy_array, numpy.ndarray)
True
>>> type(a_pil_image)
<type 'instance'>
>>> isinstance(a_pil_image, instance)
[...]
NameError: name 'instance' is not defined
>>> isinstance(inImage, PIL.Image)
[...]
TypeError: isinstance() arg 2 must be a class, type, or tuple of classes and
types
>>> isinstance(a_pil_image, PIL.PngImagePlugin.PngImageFile)
True
>>> str(a_pil_image.__class__).startswith('PIL.')
True
--
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
Private Bag 102 904, North Shore Mail Centre
voice: +64 9 414-0800 ext. 9585 fax: +64 9 441-8181
eMail: g.kl...@massey.ac.nz http://iims.massey.ac.nz
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