Added Python interface

1 files changed, 47 insertions, 0 deletions

diff --git a/samples/matlab/s013_constraints.m b/samples/matlab/s013_constraints.m
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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);