OpenCL acclerated volume processing in Python
- python 2 (yet)
- a working OpenCL environment (check with clinfo).
pip install --user git+https://github.com/maweigert/gputools
check if basic stuff is working:
python -m gputools
Docs are still to be done ;)
Most of the methods work on both numpy arrays or GPU memory objects (gputools.OCLArrays/OCLImage). The latter saving the memory transfer (which e.g. for simple convolutions accounts for the main run time)
####Convolutions
1D-3D convolutions/seperable convolutions/fft based convolution
import gputools
d = ones((128,200))
h = ones((17,17))
res = gputools.convolve.convolve(d,h)d = ones((128,128,128))
h = ones(17)
res = gputools.convolve.convolve_sep3(d,h)####Denoising
bilateral filter, non local means
...
res = gputools.denoise.nlm3(d,10.,3,4)
res = gputools.denoise.bilateral(d,3,10.)####Deconvolution
richardson lucy deconvolution
...
res = gputools.deconv.deconv_rl(d,h,2)####Transforms scaling, translate, rotate, affine...
gputools.transforms.scale(d,.2)
gputools.transforms.rotate(d,(64,64,64),(1,0,0),pi/4)
gputools.transforms.translate(d,10,20,30)
...####fft wraps around pyfft
gputools.fft(d)
gputools.fft(d, inverse = True)