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.
Cheers,
Drew
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