OK, let me see what I can cook up for you. 


On June 5, 2015 8:50:43 AM PDT, Jonathan Gibbs <[email protected]> wrote:
>I have some grayscale data in TIFF files, and need to do some custom
>image
>processing on it, as well as use routines from numpy/scipy which
>expects
>the input as bumpy.ndarrays.
>
>So, I was thinking along these lines:
>
>buf = oiio.ImageBuf(input)
>old_pixels = buf.get_pixels_as_ndarray(oiio.UINT16)
>new_pixels = process(old_pixels)
>buf.set_pixels_from_ndarray(new_pixels, oiio.UINT16)
>buf.write_image(output)
>
>I can always loop and call "set_pixel" - though I don't think setpixel
>allows me to hand it UINT16 values. It appears to always want floats.
>
>--jono
>
>On Thu, Jun 4, 2015 at 11:53 PM Larry Gritz <[email protected]> wrote:
>
>> Um, yeah, there's a simple way to pull pixels out, but not an easy
>way to
>> insert them (other than one at a time).
>>
>> I can probably add something for you easily (essentially,
>set_pixels). But
>> before I do, can you explain what you're trying to do overall, just
>in case
>> there's some better API strategy already in there?
>>
>>
>> On Jun 4, 2015, at 4:24 PM, Jonathan Gibbs <[email protected]>
>wrote:
>>
>> Does anyone have a good/simple example of working with OIIO in
>python. I
>> can get at the raw pixels nicely enough with ImageBuf.get_pixels(),
>but
>> it's not clear the best way to get those pixels back into an ImageBuf
>for
>> writing.  (There is no set_pixels.)
>>
>> As a side note, get_pixels returns a Python array, which I can
>convert
>> easily enough to a numpy.ndarray. Is there a better way to get from a
>> ImageBuf to a numpy.ndarray and back again in a reasonably efficient
>manner?
>>
>> --jono
>>
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>>
>> --
>> Larry Gritz
>> [email protected]
>>
>>
>>
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>
>
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-- 
Larry Gritz
[email protected]
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