On Tue, May 12, 2009 at 15:32, Chris Colbert wrote:
> This is interesting.
>
> I have always done RGB imaging with numpy using arrays of shape (height,
> width, 3). In fact, this is the form that PIL gives when calling
> np.asarray() on a PIL image.
>
> It does seem more efficient to be able to do
This is interesting.
I have always done RGB imaging with numpy using arrays of shape (height,
width, 3). In fact, this is the form that PIL gives when calling
np.asarray() on a PIL image.
It does seem more efficient to be able to do a[0],a[1],a[2] to get the R, G,
and B channels respectively. Thi
On 12-May-09, at 3:55 PM, Ryan May wrote:
>
> It's going to be faster to do it without the transpose. Besides,
> for numpy,
> that imshow becomes:
>
>imshow(b[0])
>
> Which, IMHO, looks better than Matlab.
You're right, that is better, odd how I never thought of doing it like
that. I've
On Tue, May 12, 2009 at 14:55, Ryan May wrote:
> On Tue, May 12, 2009 at 2:51 PM, brechmos wrote:
>>
>> So, in Numpy I have to reshape it so the "slices" are in the first
>> dimension. Obviously, I can do a b.transpose( (1,2,0) ) to get it to look
>> like Matlab, but...
>>
>> I don't understand
Ah, hah.
In [3]: c = b.reshape((256,256,150), order='F')
Ok, I needed more coffee.
If I do it this way (without the transpose), it should be as fast as
c=b.reshape((150,256,256)), right? It is just changing the stride (or
something like that)? Or is it going to be faster without changing th
On Tue, May 12, 2009 at 2:51 PM, brechmos wrote:
> So, in Numpy I have to reshape it so the "slices" are in the first
> dimension. Obviously, I can do a b.transpose( (1,2,0) ) to get it to look
> like Matlab, but...
>
> I don't understand why the index ordering is different between Matlab and
>
I am very new to Numpy and relatively new to Python. I have used Matlab for
15+ years now. But, I am starting to lean toward using Numpy for all my
work.
One thing that I am not understanding is the order of data when read in from
a file. Let's say I have a 256x256x150 uint16 dataset (MRI, 150
