On Fri, 07 Aug 2009 01:39:14 Fredrik Lundh wrote:
> Sure, but it would still be interesting to know if the 1.1.7 changes
> actually solves this specific problem, so we know if/how it can be
> worked around or monkey patched.
You're 100% right with that.
Guy
(Hoping that 1.1.7 will find its way in
>>> import Image
>>> Image.VERSION
'1.1.6'
>>> N.__version__
'1.3.0'
>>> im=Image.open('Desktop/chart_bl.tif')
>>> im2= im.convert('L')
>>> a = N.asarray(im2)
>>> a.shape
(18710, 13228)
>>> a.dtype
uint8
>>> a.sum()
33087362820
>>> a = N.asarray(im)
>>> a.shape
(18710, 13228)
>>> a.dtype
bool
>>> a
On Wed, Aug 5, 2009 at 9:52 PM, Guy K. Kloss wrote:
> On Wed, 05 Aug 2009 22:57:42 you wrote:
>> Note that there's been some changes to the numpy interface in 1.1.7,
>> which was recently tagged for release, even though I haven't gotten
>> around to cut the tarballs just yet:
>>
>> http://hg.eff
2009/8/4 Guy K. Kloss
> Maybe it's something really in the way that PIL aligns its image data that
> then is dumped into a NumPy array by plugging a header structure on top.
That was my theory, but I worked around it rather than diving in with gdb to
find out for sure.
_
2009/8/4 Guy K. Kloss
> On Mon, 27 Jul 2009 19:08:16 Gary Capell wrote:
> > I get this problem (with python2.6, PIL 1.1.6, numpy 1.3.0 )
> >
> > >>> from PIL import Image
> > >>> import numpy
> > >>> i = Image.open('chart_bl.tif')
> > >>> a = numpy.asarray(i)
> > >>> o.size, a.shape
> > ((13228,
On Wed, 05 Aug 2009 22:57:42 you wrote:
> Note that there's been some changes to the numpy interface in 1.1.7,
> which was recently tagged for release, even though I haven't gotten
> around to cut the tarballs just yet:
>
>http://hg.effbot.org/pil-2009-raclette/src/pil-117/
One of the biggest
Note that there's been some changes to the numpy interface in 1.1.7,
which was recently tagged for release, even though I haven't gotten
around to cut the tarballs just yet:
http://hg.effbot.org/pil-2009-raclette/src/pil-117/
On Tue, Aug 4, 2009 at 10:09 PM, Guy K. Kloss wrote:
> Fredrik,
>
Hi,
I would like to take a look at the offending image, if you could make
available somewhere for download - somthing like
www.drop.io
-
Sebastian Haase
On Tue, Aug 4, 2009 at 10:09 PM, Guy K. Kloss wrote:
> Fredrik,
>
> On Tue, 04 Aug 2009 21:28:35 Fredrik Lundh wrote:
>> Note that PIL has its
Fredrik,
On Tue, 04 Aug 2009 21:28:35 Fredrik Lundh wrote:
> Note that PIL has its own histogram method (for a monochrome image,
> the counts will end up in slot 0 and 255).
that may be true. But many people (including myself) have got needs for more
in-depth analyses using the functions that e.
On Mon, Jul 27, 2009 at 9:08 AM, Gary Capell wrote:
> I get this problem (with python2.6, PIL 1.1.6, numpy 1.3.0 )
>
from PIL import Image
import numpy
i = Image.open('chart_bl.tif')
a = numpy.asarray(i)
o.size, a.shape
> ((13228, 18710), (18710, 13228))
o.size, a.shap
On Tue, 04 Aug 2009 17:07:18 you wrote:
> I'm OK with the operation not making much sense, I'm not OK with python
> dying with a segmentation fault.
>
> For what it's worth, I also get a segfault with a.sum():
Hmmm, interesting. I've just given it a try with pure numpy boolean arrays.
And that wo
On Mon, 27 Jul 2009 19:08:16 Gary Capell wrote:
> I get this problem (with python2.6, PIL 1.1.6, numpy 1.3.0 )
>
> >>> from PIL import Image
> >>> import numpy
> >>> i = Image.open('chart_bl.tif')
> >>> a = numpy.asarray(i)
> >>> o.size, a.shape
> ((13228, 18710), (18710, 13228))
> >>> o.size, a.sh
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