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authorDaniel M. Pelt <D.M.Pelt@cwi.nl>2015-02-24 12:35:45 +0100
committerDaniel M. Pelt <D.M.Pelt@cwi.nl>2015-02-24 12:35:45 +0100
commit3cae1d138c53a3fd042de3d2c9d9a07cf0650e0f (patch)
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Added Python interface
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-% -----------------------------------------------------------------------
-% This file is part of the ASTRA Toolbox
-%
-% Copyright: 2010-2015, iMinds-Vision Lab, University of Antwerp
-% 2014-2015, CWI, Amsterdam
-% License: Open Source under GPLv3
-% Contact: astra@uantwerpen.be
-% Website: http://sf.net/projects/astra-toolbox
-% -----------------------------------------------------------------------
-
-% In this example we will create a reconstruction constrained to
-% greyvalues between 0 and 1
-
-vol_geom = astra_create_vol_geom(256, 256);
-proj_geom = astra_create_proj_geom('parallel', 1.0, 384, linspace2(0,pi,50));
-
-% As before, create a sinogram from a phantom
-P = phantom(256);
-[sinogram_id, sinogram] = astra_create_sino_gpu(P, proj_geom, vol_geom);
-figure(1); imshow(P, []);
-figure(2); imshow(sinogram, []);
-
-% Create a data object for the reconstruction
-rec_id = astra_mex_data2d('create', '-vol', vol_geom);
-
-% Set up the parameters for a reconstruction algorithm using the GPU
-cfg = astra_struct('SIRT_CUDA');
-cfg.ReconstructionDataId = rec_id;
-cfg.ProjectionDataId = sinogram_id;
-cfg.option.MinConstraint = 0;
-cfg.option.MaxConstraint = 1;
-
-% Create the algorithm object from the configuration structure
-alg_id = astra_mex_algorithm('create', cfg);
-
-% Run 150 iterations of the algorithm
-astra_mex_algorithm('iterate', alg_id, 150);
-
-% Get the result
-rec = astra_mex_data2d('get', rec_id);
-figure(3); imshow(rec, []);
-
-% Clean up. Note that GPU memory is tied up in the algorithm object,
-% and main RAM in the data objects.
-astra_mex_algorithm('delete', alg_id);
-astra_mex_data2d('delete', rec_id);
-astra_mex_data2d('delete', sinogram_id);