Hi all,
I'm trying to import a 16-bit tiff image into a numpy array. I have
found, using google, suggestions to do the following:
After starting with:
i = Image.open('16bitGreyscaleImage.tif')
Stéfan van der Walt suggested:
a = np.array(i.getdata()).reshape(i.size) # a 1d numpy array
and adap
2008/11/6 Robert Kern <[EMAIL PROTECTED]>:
> On Thu, Nov 6, 2008 at 21:54, Angus McMorland <[EMAIL PROTECTED]> wrote:
>> Hi all,
>>
>> I'm trying to import a 16-bit tiff image into a numpy array. I have
>> found, using google, suggestions to do the following:
>>
>> After starting with:
>> i = Image
On Thu, Nov 6, 2008 at 21:54, Angus McMorland <[EMAIL PROTECTED]> wrote:
> Hi all,
>
> I'm trying to import a 16-bit tiff image into a numpy array. I have
> found, using google, suggestions to do the following:
>
> After starting with:
> i = Image.open('16bitGreyscaleImage.tif')
>
> Stéfan van der
On 6-Nov-08, at 11:15 PM, Angus McMorland wrote:
> 2008/11/6 Robert Kern <[EMAIL PROTECTED]>:
>> On Thu, Nov 6, 2008 at 21:54, Angus McMorland <[EMAIL PROTECTED]>
>> wrote:
>>> Hi all,
>>>
>>> I'm trying to import a 16-bit tiff image into a numpy array. I have
>>> found, using google, suggestio
Hi,
The PIL has some fundamental architectural problems that prevent it
from dealing easily with 16-bit TIFFs, which are exacerbated on little-
endian platforms. Add to this a thin sheen of various byte-order bugs
and other problems in the __array_interface__, and it's really hard to
get co
