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authorWillem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl>2015-12-04 15:15:16 +0100
committerWillem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl>2015-12-04 15:15:16 +0100
commite07449189a05e3bcdc8ad4a9fbb95c0751f567bb (patch)
treee6bd7d6469ae58f72bc61000ffd3a3d39672d07f /samples/python
parent81e7385c110a6210d0f9bc402df522301ec162f6 (diff)
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Add sample for experimental composite geometry code
Diffstat (limited to 'samples/python')
-rw-r--r--samples/python/s018_experimental_multires.py84
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diff --git a/samples/python/s018_experimental_multires.py b/samples/python/s018_experimental_multires.py
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+#-----------------------------------------------------------------------
+#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)