# ----------------------------------------------------------------------- # Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp # 2013-2016, CWI, Amsterdam # # Contact: astra@uantwerpen.be # Website: http://www.astra-toolbox.com/ # # This file is part of the ASTRA Toolbox. # # # 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 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 ASTRA Toolbox. If not, see . # # ----------------------------------------------------------------------- import astra import numpy as np # Set up multi-GPU usage. # This only works for 3D GPU forward projection and back projection. astra.set_gpu_index([0,1]) # Optionally, you can also restrict the amount of GPU memory ASTRA will use. # The line commented below sets this to 1GB. #astra.set_gpu_index([0,1], memory=1024*1024*1024) vol_geom = astra.create_vol_geom(1024, 1024, 1024) angles = np.linspace(0, np.pi, 1024,False) proj_geom = astra.create_proj_geom('parallel3d', 1.0, 1.0, 1024, 1024, angles) # Create a simple hollow cube phantom cube = np.zeros((1024,1024,1024)) cube[128:895,128:895,128:895] = 1 cube[256:767,256:767,256:767] = 0 # Create projection data from this proj_id, proj_data = astra.create_sino3d_gpu(cube, proj_geom, vol_geom) # Backproject projection data bproj_id, bproj_data = astra.create_backprojection3d_gpu(proj_data, proj_geom, vol_geom) # Clean up. Note that GPU memory is tied up in the algorithm object, # and main RAM in the data objects. astra.data3d.delete(proj_id) astra.data3d.delete(bproj_id)