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Diffstat (limited to 'samples/python')
| -rw-r--r-- | samples/python/s018_experimental_multires.py | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/samples/python/s018_experimental_multires.py b/samples/python/s018_experimental_multires.py new file mode 100644 index 0000000..cf38e53 --- /dev/null +++ b/samples/python/s018_experimental_multires.py @@ -0,0 +1,84 @@ +#----------------------------------------------------------------------- +#Copyright 2013 Centrum Wiskunde & Informatica, Amsterdam +# +#Author: Daniel M. Pelt +#Contact: D.M.Pelt@cwi.nl +#Website: http://dmpelt.github.io/pyastratoolbox/ +# +# +#This file is part of the Python interface to the +#All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox"). +# +#The Python interface to the ASTRA Toolbox is free software: you can redistribute it and/or modify +#it under the terms of the GNU General Public License as published by +#the Free Software Foundation, either version 3 of the License, or +#(at your option) any later version. +# +#The Python interface to the ASTRA Toolbox is distributed in the hope that it will be useful, +#but WITHOUT ANY WARRANTY; without even the implied warranty of +#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +#GNU General Public License for more details. +# +#You should have received a copy of the GNU General Public License +#along with the Python interface to the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>. +# +#----------------------------------------------------------------------- + +import astra +import numpy as np +from astra.experimental import do_composite_FP + +astra.log.setOutputScreen(astra.log.STDERR, astra.log.DEBUG) + +# low res part (voxels of 4x4x4) +vol_geom1 = astra.create_vol_geom(32, 16, 32, -64, 0, -64, 64, -64, 64) + +# high res part (voxels of 1x1x1) +vol_geom2 = astra.create_vol_geom(128, 64, 128, 0, 64, -64, 64, -64, 64) + + +# Split the output in two parts as well, for demonstration purposes +angles1 = np.linspace(0, np.pi/2, 90, False) +angles2 = np.linspace(np.pi/2, np.pi, 90, False) +proj_geom1 = astra.create_proj_geom('parallel3d', 1.0, 1.0, 128, 192, angles1) +proj_geom2 = astra.create_proj_geom('parallel3d', 1.0, 1.0, 128, 192, angles2) + +# Create a simple hollow cube phantom +cube1 = np.zeros((32,32,16)) +cube1[4:28,4:28,4:16] = 1 + +cube2 = np.zeros((128,128,64)) +cube2[16:112,16:112,0:112] = 1 +cube2[33:97,33:97,4:28] = 0 + +vol1 = astra.data3d.create('-vol', vol_geom1, cube1) +vol2 = astra.data3d.create('-vol', vol_geom2, cube2) + +proj1 = astra.data3d.create('-proj3d', proj_geom1, 0) +proj2 = astra.data3d.create('-proj3d', proj_geom2, 0) + +# The actual geometries don't matter for this composite FP/BP case +projector = astra.create_projector('cuda3d', proj_geom1, vol_geom1) + +do_composite_FP(projector, [vol1, vol2], [proj1, proj2]) + +proj_data1 = astra.data3d.get(proj1) +proj_data2 = astra.data3d.get(proj2) + +# Display a single projection image +import pylab +pylab.gray() +pylab.figure(1) +pylab.imshow(proj_data1[:,0,:]) +pylab.figure(2) +pylab.imshow(proj_data2[:,0,:]) +pylab.show() + + +# Clean up. Note that GPU memory is tied up in the algorithm object, +# and main RAM in the data objects. +astra.data3d.delete(vol1) +astra.data3d.delete(vol2) +astra.data3d.delete(proj1) +astra.data3d.delete(proj2) +astra.projector3d.delete(projector) |