the reason for all this is that the bitmap image format specifies the image
origin as the lower left corner. This is the convention used by PIL. The
origin of a numpy array is the upper right corner. Matplot lib does not
handle this discrepancy in the function pil_to_array, which is called
internal
Pauli Virtanen iki.fi> writes:
> > img = array(img)[::-1]
>
> Note that here a copy is made. You can use `asarray` instead of `array`
> if you want to avoid making a copy.
>
Thanks, that's good info!
> > and it worked!, but I am interested actually in sub-regions of this
> > image, so the n
Sat, 16 May 2009 22:05:16 +, Jorge Scandaliaris wrote:
[clip]
> I downloaded the scipy logo:
> http://docs.scipy.org/doc/_static/scipyshiny_small.png and did the
> following:
>
> img = Image.open('./scipyshiny_small.png')
>
> mpl.pylab.imshow(img) # Comes upside down
> aimg = asarray(img)
>
Emmanuelle Gouillart normalesup.org> writes:
>
> Hi Jorge,
>
> > roi = aimg[10:20,45:50,:]
>
> are you working with 3-D images? I didn't know PIL was able to handle 3D
> images.
>
Well, if by 3D you mean color images then yes, PIL is able to handle them
> I wasn't able to reproduce the beha
Sat, 16 May 2009 08:42:50 +, jorgesmbox-ml wrote:
[clip]
> I don't feel comfortable working with upside down images, so this had to
> be fixed. I tried to be smart and avoid copying the whole image:
>
> aimg = array(img)[::-1]
Note that here a copy is made. You can use `asarray` instead of `ar
Hi Jorge,
> roi = aimg[10:20,45:50,:]
are you working with 3-D images? I didn't know PIL was able to handle 3D
images.
I wasn't able to reproduce the behavior you observed with a simple
example:
In [20]: base = np.arange(25).reshape((5,5))
In [21]: base
Out[21]:
array([[ 0, 1, 2, 3, 4],
Hi,
I am just starting with numpy, pyhton and related others. I work on image
processing basically. Now, my question is: what is the expected behaviour when
slicing a view of an array? The following example might give some background on
what I tried to do and the results obatined (which I don'
