# ----------------------------------------------------------------------- # Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp # 2013-2016, CWI, Amsterdam # # Contact: astra@astra-toolbox.com # 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 . # # ----------------------------------------------------------------------- from . import data3d_c as d import numpy as np from .pythonutils import GPULink def create(datatype,geometry,data=None): """Create a 3D object. :param datatype: Data object type, '-vol' or '-sino'. :type datatype: :class:`string` :param geometry: Volume or projection geometry. :type geometry: :class:`dict` :param data: Data to fill the constructed object with, either a scalar or array. :type data: :class:`float` or :class:`numpy.ndarray` :returns: :class:`int` -- the ID of the constructed object. """ return d.create(datatype,geometry,data) def link(datatype, geometry, data): """Link a 3D numpy array with the toolbox. :param datatype: Data object type, '-vol' or '-sino'. :type datatype: :class:`string` :param geometry: Volume or projection geometry. :type geometry: :class:`dict` :param data: Numpy array to link :type data: :class:`numpy.ndarray` :returns: :class:`int` -- the ID of the constructed object. """ if not isinstance(data,np.ndarray) and not isinstance(data,GPULink): raise TypeError("Input should be a numpy ndarray or GPULink object") if isinstance(data, np.ndarray): if data.dtype != np.float32: raise ValueError("Numpy array should be float32") if not (data.flags['C_CONTIGUOUS'] and data.flags['ALIGNED']): raise ValueError("Numpy array should be C_CONTIGUOUS and ALIGNED") return d.create(datatype,geometry,data,True) def get(i): """Get a 3D object. :param i: ID of object to get. :type i: :class:`int` :returns: :class:`numpy.ndarray` -- The object data. """ return d.get(i) def get_shared(i): """Get a 3D object with memory shared between the ASTRA toolbox and numpy array. :param i: ID of object to get. :type i: :class:`int` :returns: :class:`numpy.ndarray` -- The object data. """ return d.get_shared(i) def get_single(i): """Get a 3D object in single precision. :param i: ID of object to get. :type i: :class:`int` :returns: :class:`numpy.ndarray` -- The object data. """ return d.get_single(i) def store(i,data): """Fill existing 3D object with data. :param i: ID of object to fill. :type i: :class:`int` :param data: Data to fill the object with, either a scalar or array. :type data: :class:`float` or :class:`numpy.ndarray` """ return d.store(i,data) def get_geometry(i): """Get the geometry of a 3D object. :param i: ID of object. :type i: :class:`int` :returns: :class:`dict` -- The geometry of object with ID ``i``. """ return d.get_geometry(i) def change_geometry(i, geometry): """Change the geometry of a 3D object. :param i: ID of object. :type i: :class:`int` :param geometry: Volume or projection geometry. :type geometry: :class:`dict` """ return d.change_geometry(i, geometry) def dimensions(i): """Get dimensions of a 3D object. :param i: ID of object. :type i: :class:`int` :returns: :class:`tuple` -- dimensions of object with ID ``i``. """ return d.dimensions(i) def delete(ids): """Delete a 2D object. :param ids: ID or list of ID's to delete. :type ids: :class:`int` or :class:`list` """ return d.delete(ids) def clear(): """Clear all 3D data objects.""" return d.clear() def info(): """Print info on 3D objects in memory.""" return d.info()