Thanks Andreas (and Holger if you're reading)!
That's a very good example for me to use as a starting point.
Cheers,
Drew
On Jun 11, 2009, at 5:06 PM, Andreas Klöckner wrote:
On Donnerstag 11 Juni 2009, Andrew Wagner wrote:
Hi Guys-
I need to apply an affine warping to an image and use the result in
CUDA. What sounds like a better idea:
1) Write a CUDA kernel to do the filtering and interpolation, perhaps
using texture memory for the source image.
2) Try to figure out how to get the image into OpenGL and try to do
the image re-sampling there. I know OpenGL is meant for operations
like this, but I have no idea how hard it will be to get things
working from python.
3) Just do the warping on the CPU side using, say, OpenCV or
scipy.ndimage.affine_transform, and then transferring the data to the
GPU for the rest of my CUDA pipeline
The source image is 1024 x 768 single channel, getting resampled down
to 64 x 80 using a transformation matrix that gets computed
online. I
have pretty minimal OpenGL experience, and none in a python context.
A while back, Holger Rapp contributed an example code that does image
rotation:
http://git.tiker.net/pycuda.git/blob/HEAD:/examples/rotate.py
I'm guessing this might get you started on alternative #1.
Andreas
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