On 8/31/11 9:27 AM, Christoph Gohlke wrote:
On 8/31/2011 7:21 AM, Ingo Randolf wrote:
I have a list with float-values describing an image like this:
[R, G, B, A, R, G, B, A, R, G, B, A, R, G, B, A, R, G, B, A, ... etc.]
I can't help but wonder why it's in that data structure to begin with --
as you've seen, it's a pretty painfully inefficient way to do it.
i played around with putdata...
you need it in a binary format that is compatible:
Consider using numpy <http://numpy.scipy.org/> and Image.fromarray.
this is probably the best way, but you can also use an array.array
object -- create an array.array of type byte from your list, then pass
that in to putdata. (details left as an exercise for the reader)
I think working with numbers in Python without numpy would be like
working with text using lists of characters, rather than the string object.
-Chris
For
example:
import numpy
from PIL import Image
shape = 256, 256, 4
px = list(numpy.random.rand(shape[0]*shape[1]*shape[2]))
newdata = numpy.array(px, dtype=numpy.float32)
newdata *= 255.99998474
newdata = newdata.astype(numpy.uint8)
newdata.shape = shape
image = Image.fromarray(newdata)
Christoph
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