integral image for each depth in a three dimensional array
Hi all, I want to calculate integral images for each depth in a three dimensional array. My code is something like this: ret = np.empty(height, width, depth) int_imgs = [integral_image(image[:,:,i]) for i in range(depth)] for i in range(depth): ret[:,:,i] = int_imgs[i] Is there better way to do this? Thanks, masa
Hi Masa, actually you can pass a 3-D array to integral_image :
from skimage import transform a = np.arange(27).reshape((3, 3, 3)) a array([[[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8]],
[[ 9, 10, 11], [12, 13, 14], [15, 16, 17]], [[18, 19, 20], [21, 22, 23], [24, 25, 26]]])
transform.integral_image(a) array([[[ 0, 1, 2], [ 3, 5, 7], [ 9, 12, 15]],
[[ 9, 11, 13], [ 24, 28, 32], [ 45, 51, 57]], [[ 27, 30, 33], [ 63, 69, 75], [108, 117, 126]]]) Would this do the trick? Cheers, Emmanuelle On Tue, Aug 06, 2013 at 02:36:32AM -0700, masa wrote:
Hi all,
I want to calculate integral images for each depth in a three dimensional array. My code is something like this:
ret = np.empty(height, width, depth) int_imgs = [integral_image(image[:,:,i]) for i in range(depth)] for i in range(depth): ret[:,:,i] = int_imgs[i]
Is there better way to do this?
Thanks, masa
@Emmanuelle: didn't know about that, thanks for pointing that out! Johannes Schönberger Am 06.08.2013 um 11:43 schrieb Emmanuelle Gouillart <emmanuelle.gouillart@nsup.org>:
Hi Masa,
actually you can pass a 3-D array to integral_image :
from skimage import transform a = np.arange(27).reshape((3, 3, 3)) a array([[[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8]],
[[ 9, 10, 11], [12, 13, 14], [15, 16, 17]],
[[18, 19, 20], [21, 22, 23], [24, 25, 26]]])
transform.integral_image(a) array([[[ 0, 1, 2], [ 3, 5, 7], [ 9, 12, 15]],
[[ 9, 11, 13], [ 24, 28, 32], [ 45, 51, 57]],
[[ 27, 30, 33], [ 63, 69, 75], [108, 117, 126]]])
Would this do the trick? Cheers, Emmanuelle
On Tue, Aug 06, 2013 at 02:36:32AM -0700, masa wrote:
Hi all,
I want to calculate integral images for each depth in a three dimensional array. My code is something like this:
ret = np.empty(height, width, depth) int_imgs = [integral_image(image[:,:,i]) for i in range(depth)] for i in range(depth): ret[:,:,i] = int_imgs[i]
Is there better way to do this?
Thanks, masa
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On Tue, Aug 06, 2013 at 11:45:31AM +0200, Johannes Sch�nberger wrote:
@Emmanuelle: didn't know about that, thanks for pointing that out!
Johannes Sch�nberger
Didn't know either, but I had a look at the code: return x.cumsum(1).cumsum(0) so additional dimensions are "transparent" Emma
Am 06.08.2013 um 11:43 schrieb Emmanuelle Gouillart <emmanuelle.gouillart@nsup.org>:
Hi Masa,
actually you can pass a 3-D array to integral_image :
from skimage import transform a = np.arange(27).reshape((3, 3, 3)) a array([[[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8]],
[[ 9, 10, 11], [12, 13, 14], [15, 16, 17]],
[[18, 19, 20], [21, 22, 23], [24, 25, 26]]])
transform.integral_image(a) array([[[ 0, 1, 2], [ 3, 5, 7], [ 9, 12, 15]],
[[ 9, 11, 13], [ 24, 28, 32], [ 45, 51, 57]],
[[ 27, 30, 33], [ 63, 69, 75], [108, 117, 126]]])
Would this do the trick? Cheers, Emmanuelle
On Tue, Aug 06, 2013 at 02:36:32AM -0700, masa wrote:
Hi all,
I want to calculate integral images for each depth in a three dimensional array. My code is something like this:
ret = np.empty(height, width, depth) int_imgs = [integral_image(image[:,:,i]) for i in range(depth)] for i in range(depth): ret[:,:,i] = int_imgs[i]
Is there better way to do this?
Thanks, masa
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Hi, That's the way to do it, but I'd directly save the result in the output array:
ret = np.empty_like(image) for i in range(depth): ret[:,:,i] = integral_image(image[:,:,i])
Johannes Schönberger Am 06.08.2013 um 11:36 schrieb masa <masahi129@gmail.com>:
Hi all,
I want to calculate integral images for each depth in a three dimensional array. My code is something like this:
ret = np.empty(height, width, depth) int_imgs = [integral_image(image[:,:,i]) for i in range(depth)] for i in range(depth): ret[:,:,i] = int_imgs[i]
Is there better way to do this?
Thanks, masa
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participants (3)
-
Emmanuelle Gouillart -
Johannes Schönberger -
masa