From 3cae1d138c53a3fd042de3d2c9d9a07cf0650e0f Mon Sep 17 00:00:00 2001 From: "Daniel M. 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When it is not found, a full rebuild will be done. +config: 613726d7ead289eb5bc59a5d50e806e0 +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/python/docSRC/_build/html/ASTRAProjector.html b/python/docSRC/_build/html/ASTRAProjector.html new file mode 100644 index 0000000..61c6a2f --- /dev/null +++ b/python/docSRC/_build/html/ASTRAProjector.html @@ -0,0 +1,235 @@ + + + + + + + + Helper class: the ASTRAProjector module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Helper class: the ASTRAProjector module

+
+
+class astra.ASTRAProjector.ASTRAProjector2D(proj_geom, vol_geom, proj_type, useCUDA=False)[source]
+

Bases: builtins.object

+

Helps with various common ASTRA Toolbox 2D operations.

+

This class can perform several often used toolbox operations, such as:

+
    +
  • Forward projecting
  • +
  • Back projecting
  • +
  • Reconstructing
  • +
+

Note that this class has a some computational overhead, because it +copies a lot of data. If you use many repeated operations, directly +using the PyAstraToolbox methods directly is faster.

+

You can use this class as an abstracted weight matrix \(W\): multiplying an instance +proj of this class by an image results in a forward projection of the image, and multiplying +proj.T by a sinogram results in a backprojection of the sinogram:

+
proj = ASTRAProjector2D(...)
+fp = proj*image
+bp = proj.T*sinogram
+
+
+ +++ + + + +
Parameters:
    +
  • proj_geom (dict) – The projection geometry.
  • +
  • vol_geom (dict) – The volume geometry.
  • +
  • proj_type (string) – Projector type, such as 'line', 'linear', ...
  • +
  • useCUDA (bool) – If True, use CUDA for calculations, when possible.
  • +
+
+
+
+backProject(data)[source]
+

Backproject a sinogram.

+ +++ + + + + + +
Parameters:data (numpy.ndarray or int) – The sinogram data or ID.
Returns:numpy.ndarray – The backprojection.
+
+ +
+
+forwardProject(data)[source]
+

Forward project an image.

+ +++ + + + + + +
Parameters:data (numpy.ndarray or int) – The image data or ID.
Returns:numpy.ndarray – The forward projection.
+
+ +
+
+reconstruct(data, method, **kwargs)[source]
+

Reconstruct an image from a sinogram.

+ +++ + + + + + +
Parameters: +
Returns:

numpy.ndarray – The reconstruction.

+
+

Example of a SIRT reconstruction using CUDA:

+
proj = ASTRAProjector2D(...)
+rec = proj.reconstruct(sinogram,'SIRT_CUDA',iterations=1000)
+
+
+
+ +
+ +
+
+class astra.ASTRAProjector.ASTRAProjector2DTranspose(parentProj)[source]
+

Bases: builtins.object

+

Implements the proj.T functionality.

+

Do not use directly, since it can be accessed as member .T of +an ASTRAProjector2D object.

+
+ +
+ + +
+
+
+
+
+

Previous topic

+

Additional functions: the functions module

+

Next topic

+

MATLAB compatibility interface: the matlab module

+

This Page

+ + + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/ASTRAProjector.html b/python/docSRC/_build/html/_modules/astra/ASTRAProjector.html new file mode 100644 index 0000000..08789f2 --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/ASTRAProjector.html @@ -0,0 +1,243 @@ + + + + + + + + astra.ASTRAProjector — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.ASTRAProjector

+#-----------------------------------------------------------------------
+#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 math
+from . import creators as ac
+from . import data2d
+
+
+
[docs]class ASTRAProjector2DTranspose(): + """Implements the ``proj.T`` functionality. + + Do not use directly, since it can be accessed as member ``.T`` of + an :class:`ASTRAProjector2D` object. + + """ + def __init__(self, parentProj): + self.parentProj = parentProj + + def __mul__(self, data): + return self.parentProj.backProject(data) + +
+
[docs]class ASTRAProjector2D(object): + """Helps with various common ASTRA Toolbox 2D operations. + + This class can perform several often used toolbox operations, such as: + + * Forward projecting + * Back projecting + * Reconstructing + + Note that this class has a some computational overhead, because it + copies a lot of data. If you use many repeated operations, directly + using the PyAstraToolbox methods directly is faster. + + You can use this class as an abstracted weight matrix :math:`W`: multiplying an instance + ``proj`` of this class by an image results in a forward projection of the image, and multiplying + ``proj.T`` by a sinogram results in a backprojection of the sinogram:: + + proj = ASTRAProjector2D(...) + fp = proj*image + bp = proj.T*sinogram + + :param proj_geom: The projection geometry. + :type proj_geom: :class:`dict` + :param vol_geom: The volume geometry. + :type vol_geom: :class:`dict` + :param proj_type: Projector type, such as ``'line'``, ``'linear'``, ... + :type proj_type: :class:`string` + :param useCUDA: If ``True``, use CUDA for calculations, when possible. + :type useCUDA: :class:`bool` + """ + + def __init__(self, proj_geom, vol_geom, proj_type, useCUDA=False): + self.vol_geom = vol_geom + self.recSize = vol_geom['GridColCount'] + self.angles = proj_geom['ProjectionAngles'] + self.nDet = proj_geom['DetectorCount'] + nexpow = int(pow(2, math.ceil(math.log(2 * self.nDet, 2)))) + self.filterSize = nexpow / 2 + 1 + self.nProj = self.angles.shape[0] + self.proj_geom = proj_geom + self.proj_id = ac.create_projector(proj_type, proj_geom, vol_geom) + self.useCUDA = useCUDA + self.T = ASTRAProjector2DTranspose(self) + +
[docs] def backProject(self, data): + """Backproject a sinogram. + + :param data: The sinogram data or ID. + :type data: :class:`numpy.ndarray` or :class:`int` + :returns: :class:`numpy.ndarray` -- The backprojection. + + """ + vol_id, vol = ac.create_backprojection( + data, self.proj_id, useCUDA=self.useCUDA, returnData=True) + data2d.delete(vol_id) + return vol +
+
[docs] def forwardProject(self, data): + """Forward project an image. + + :param data: The image data or ID. + :type data: :class:`numpy.ndarray` or :class:`int` + :returns: :class:`numpy.ndarray` -- The forward projection. + + """ + sin_id, sino = ac.create_sino(data, self.proj_id, useCUDA=self.useCUDA, returnData=True) + data2d.delete(sin_id) + return sino +
+
[docs] def reconstruct(self, data, method, **kwargs): + """Reconstruct an image from a sinogram. + + :param data: The sinogram data or ID. + :type data: :class:`numpy.ndarray` or :class:`int` + :param method: Name of the reconstruction algorithm. + :type method: :class:`string` + :param kwargs: Additional named parameters to pass to :func:`astra.creators.create_reconstruction`. + :returns: :class:`numpy.ndarray` -- The reconstruction. + + Example of a SIRT reconstruction using CUDA:: + + proj = ASTRAProjector2D(...) + rec = proj.reconstruct(sinogram,'SIRT_CUDA',iterations=1000) + + """ + kwargs['returnData'] = True + rec_id, rec = ac.create_reconstruction( + method, self.proj_id, data, **kwargs) + data2d.delete(rec_id) + return rec +
+ def __mul__(self, data): + return self.forwardProject(data)
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/algorithm.html b/python/docSRC/_build/html/_modules/astra/algorithm.html new file mode 100644 index 0000000..39816fd --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/algorithm.html @@ -0,0 +1,181 @@ + + + + + + + + astra.algorithm — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.algorithm

+#-----------------------------------------------------------------------
+#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/>.
+#
+#-----------------------------------------------------------------------
+
+from . import algorithm_c as a
+
+
[docs]def create(config): + """Create algorithm object. + + :param config: Algorithm options. + :type config: :class:`dict` + :returns: :class:`int` -- the ID of the constructed object. + + """ + return a.create(config) +
+
[docs]def run(i, iterations=1): + """Run an algorithm. + + :param i: ID of object. + :type i: :class:`int` + :param iterations: Number of iterations to run. + :type iterations: :class:`int` + + """ + return a.run(i,iterations) +
+
[docs]def get_res_norm(i): + """Get residual norm of algorithm. + + :param i: ID of object. + :type i: :class:`int` + :returns: :class:`float` -- The residual norm. + + """ + + return a.get_res_norm(i) +
+
[docs]def delete(ids): + """Delete a matrix object. + + :param ids: ID or list of ID's to delete. + :type ids: :class:`int` or :class:`list` + + """ + return a.delete(ids) +
+
[docs]def clear(): + """Clear all matrix objects.""" + return a.clear() +
+
[docs]def info(): + """Print info on matrix objects in memory.""" + return a.info()
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/astra.html b/python/docSRC/_build/html/_modules/astra/astra.html new file mode 100644 index 0000000..53fac8e --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/astra.html @@ -0,0 +1,163 @@ + + + + + + + + astra.astra — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.astra

+#-----------------------------------------------------------------------
+#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/>.
+#
+#-----------------------------------------------------------------------
+
+from . import astra_c as a
+
+
[docs]def credits(): + """Print credits of the ASTRA Toolbox.""" + return a.credits() + +
+
[docs]def use_cuda(): + """Test if CUDA is enabled. + + :returns: :class:`bool` -- ``True`` if CUDA is enabled. + """ + return a.use_cuda() + +
+
[docs]def version(printToScreen=False): + """Check version of the ASTRA Toolbox. + + :param printToScreen: If ``True``, print version string. If ``False``, return version integer. + :type printToScreen: :class:`bool` + :returns: :class:`string` or :class:`int` -- The version string or integer. + + """ + return a.version(printToScreen) +
+
[docs]def set_gpu_index(idx): + """Set default GPU index to use. + + :param idx: GPU index + :type idx: :class:`int` + """ + a.set_gpu_index(idx)
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/creators.html b/python/docSRC/_build/html/_modules/astra/creators.html new file mode 100644 index 0000000..c43978a --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/creators.html @@ -0,0 +1,668 @@ + + + + + + + + astra.creators — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.creators

+#-----------------------------------------------------------------------
+#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 six
+import numpy as np
+import math
+from . import data2d
+from . import data3d
+from . import projector
+from . import algorithm
+
+
[docs]def astra_dict(intype): + """Creates a dict to use with the ASTRA Toolbox. + + :param intype: Type of the ASTRA object. + :type intype: :class:`string` + :returns: :class:`dict` -- An ASTRA dict of type ``intype``. + + """ + if intype == 'SIRT_CUDA2': + intype = 'SIRT_CUDA' + six.print_('SIRT_CUDA2 has been deprecated. Use SIRT_CUDA instead.') + elif intype == 'FP_CUDA2': + intype = 'FP_CUDA' + six.print_('FP_CUDA2 has been deprecated. Use FP_CUDA instead.') + return {'type': intype} +
+
[docs]def create_vol_geom(*varargin): + """Create a volume geometry structure. + +This method can be called in a number of ways: + +``create_vol_geom(N)``: + :returns: A 2D volume geometry of size :math:`N \\times N`. + +``create_vol_geom((M, N))``: + :returns: A 2D volume geometry of size :math:`M \\times N`. + +``create_vol_geom(M, N)``: + :returns: A 2D volume geometry of size :math:`M \\times N`. + +``create_vol_geom(M, N, minx, maxx, miny, maxy)``: + :returns: A 2D volume geometry of size :math:`M \\times N`, windowed as :math:`minx \\leq x \\leq maxx` and :math:`miny \\leq y \\leq maxy`. + +``create_vol_geom((M, N, Z))``: + :returns: A 3D volume geometry of size :math:`M \\times N \\times Z`. + +``create_vol_geom(M, N, Z)``: + :returns: A 3D volume geometry of size :math:`M \\times N \\times Z`. + +""" + vol_geom = {'option': {}} + # astra_create_vol_geom(row_count) + if len(varargin) == 1 and isinstance(varargin[0], int) == 1: + vol_geom['GridRowCount'] = varargin[0] + vol_geom['GridColCount'] = varargin[0] + vol_geom['option']['WindowMinX'] = -varargin[0] / 2. + vol_geom['option']['WindowMaxX'] = varargin[0] / 2. + vol_geom['option']['WindowMinY'] = -varargin[0] / 2. + vol_geom['option']['WindowMaxY'] = varargin[0] / 2. + # astra_create_vol_geom([row_count col_count]) + elif len(varargin) == 1 and len(varargin[0]) == 2: + vol_geom['GridRowCount'] = varargin[0][0] + vol_geom['GridColCount'] = varargin[0][1] + vol_geom['option']['WindowMinX'] = -varargin[0][1] / 2. + vol_geom['option']['WindowMaxX'] = varargin[0][1] / 2. + vol_geom['option']['WindowMinY'] = -varargin[0][0] / 2. + vol_geom['option']['WindowMaxY'] = varargin[0][0] / 2. + # astra_create_vol_geom([row_count col_count slice_count]) + elif len(varargin) == 1 and len(varargin[0]) == 3: + vol_geom['GridRowCount'] = varargin[0][0] + vol_geom['GridColCount'] = varargin[0][1] + vol_geom['GridSliceCount'] = varargin[0][2] + vol_geom['option']['WindowMinX'] = -varargin[0][1] / 2. + vol_geom['option']['WindowMaxX'] = varargin[0][1] / 2. + vol_geom['option']['WindowMinY'] = -varargin[0][0] / 2. + vol_geom['option']['WindowMaxY'] = varargin[0][0] / 2. + vol_geom['option']['WindowMinZ'] = -varargin[0][2] / 2. + vol_geom['option']['WindowMaxZ'] = varargin[0][2] / 2. + # astra_create_vol_geom(row_count, col_count) + elif len(varargin) == 2: + vol_geom['GridRowCount'] = varargin[0] + vol_geom['GridColCount'] = varargin[1] + vol_geom['option']['WindowMinX'] = -varargin[1] / 2. + vol_geom['option']['WindowMaxX'] = varargin[1] / 2. + vol_geom['option']['WindowMinY'] = -varargin[0] / 2. + vol_geom['option']['WindowMaxY'] = varargin[0] / 2. + # astra_create_vol_geom(row_count, col_count, min_x, max_x, min_y, max_y) + elif len(varargin) == 6: + vol_geom['GridRowCount'] = varargin[0] + vol_geom['GridColCount'] = varargin[1] + vol_geom['option']['WindowMinX'] = varargin[2] + vol_geom['option']['WindowMaxX'] = varargin[3] + vol_geom['option']['WindowMinY'] = varargin[4] + vol_geom['option']['WindowMaxY'] = varargin[5] + # astra_create_vol_geom(row_count, col_count, slice_count) + elif len(varargin) == 3: + vol_geom['GridRowCount'] = varargin[0] + vol_geom['GridColCount'] = varargin[1] + vol_geom['GridSliceCount'] = varargin[2] + return vol_geom + +
+
[docs]def create_proj_geom(intype, *args): + """Create a projection geometry. + +This method can be called in a number of ways: + +``create_proj_geom('parallel', detector_spacing, det_count, angles)``: + +:param detector_spacing: Distance between two adjacent detector pixels. +:type detector_spacing: :class:`float` +:param det_count: Number of detector pixels. +:type det_count: :class:`int` +:param angles: Array of angles in radians. +:type angles: :class:`numpy.ndarray` +:returns: A parallel projection geometry. + + +``create_proj_geom('fanflat', det_width, det_count, angles, source_origin, source_det)``: + +:param det_width: Size of a detector pixel. +:type det_width: :class:`float` +:param det_count: Number of detector pixels. +:type det_count: :class:`int` +:param angles: Array of angles in radians. +:type angles: :class:`numpy.ndarray` +:param source_origin: Position of the source. +:param source_det: Position of the detector +:returns: A fan-beam projection geometry. + +``create_proj_geom('fanflat_vec', det_count, V)``: + +:param det_count: Number of detector pixels. +:type det_count: :class:`int` +:param V: Vector array. +:type V: :class:`numpy.ndarray` +:returns: A fan-beam projection geometry. + +``create_proj_geom('parallel3d', detector_spacing_x, detector_spacing_y, det_row_count, det_col_count, angles)``: + +:param detector_spacing_*: Distance between two adjacent detector pixels. +:type detector_spacing_*: :class:`float` +:param det_row_count: Number of detector pixel rows. +:type det_row_count: :class:`int` +:param det_col_count: Number of detector pixel columns. +:type det_col_count: :class:`int` +:param angles: Array of angles in radians. +:type angles: :class:`numpy.ndarray` +:returns: A parallel projection geometry. + +``create_proj_geom('cone', detector_spacing_x, detector_spacing_y, det_row_count, det_col_count, angles, source_origin, source_det)``: + +:param detector_spacing_*: Distance between two adjacent detector pixels. +:type detector_spacing_*: :class:`float` +:param det_row_count: Number of detector pixel rows. +:type det_row_count: :class:`int` +:param det_col_count: Number of detector pixel columns. +:type det_col_count: :class:`int` +:param angles: Array of angles in radians. +:type angles: :class:`numpy.ndarray` +:param source_origin: Distance between point source and origin. +:type source_origin: :class:`float` +:param source_det: Distance between the detector and origin. +:type source_det: :class:`float` +:returns: A cone-beam projection geometry. + +``create_proj_geom('cone_vec', det_row_count, det_col_count, V)``: + +:param det_row_count: Number of detector pixel rows. +:type det_row_count: :class:`int` +:param det_col_count: Number of detector pixel columns. +:type det_col_count: :class:`int` +:param V: Vector array. +:type V: :class:`numpy.ndarray` +:returns: A cone-beam projection geometry. + +``create_proj_geom('parallel3d_vec', det_row_count, det_col_count, V)``: + +:param det_row_count: Number of detector pixel rows. +:type det_row_count: :class:`int` +:param det_col_count: Number of detector pixel columns. +:type det_col_count: :class:`int` +:param V: Vector array. +:type V: :class:`numpy.ndarray` +:returns: A parallel projection geometry. + +``create_proj_geom('sparse_matrix', det_width, det_count, angles, matrix_id)``: + +:param det_width: Size of a detector pixel. +:type det_width: :class:`float` +:param det_count: Number of detector pixels. +:type det_count: :class:`int` +:param angles: Array of angles in radians. +:type angles: :class:`numpy.ndarray` +:param matrix_id: ID of the sparse matrix. +:type matrix_id: :class:`int` +:returns: A projection geometry based on a sparse matrix. + +""" + if intype == 'parallel': + if len(args) < 3: + raise Exception( + 'not enough variables: astra_create_proj_geom(parallel, detector_spacing, det_count, angles)') + return {'type': 'parallel', 'DetectorWidth': args[0], 'DetectorCount': args[1], 'ProjectionAngles': args[2]} + elif intype == 'fanflat': + if len(args) < 5: + raise Exception('not enough variables: astra_create_proj_geom(fanflat, det_width, det_count, angles, source_origin, source_det)') + return {'type': 'fanflat', 'DetectorWidth': args[0], 'DetectorCount': args[1], 'ProjectionAngles': args[2], 'DistanceOriginSource': args[3], 'DistanceOriginDetector': args[4]} + elif intype == 'fanflat_vec': + if len(args) < 2: + raise Exception('not enough variables: astra_create_proj_geom(fanflat_vec, det_count, V)') + if not args[1].shape[1] == 6: + raise Exception('V should be a Nx6 matrix, with N the number of projections') + return {'type':'fanflat_vec', 'DetectorCount':args[0], 'Vectors':args[1]} + elif intype == 'parallel3d': + if len(args) < 5: + raise Exception('not enough variables: astra_create_proj_geom(parallel3d, detector_spacing_x, detector_spacing_y, det_row_count, det_col_count, angles)') + return {'type':'parallel3d', 'DetectorSpacingX':args[0], 'DetectorSpacingY':args[1], 'DetectorRowCount':args[2], 'DetectorColCount':args[3],'ProjectionAngles':args[4]} + elif intype == 'cone': + if len(args) < 7: + raise Exception('not enough variables: astra_create_proj_geom(cone, detector_spacing_x, detector_spacing_y, det_row_count, det_col_count, angles, source_origin, source_det)') + return {'type': 'cone','DetectorSpacingX':args[0], 'DetectorSpacingY':args[1], 'DetectorRowCount':args[2],'DetectorColCount':args[3],'ProjectionAngles':args[4],'DistanceOriginSource': args[5],'DistanceOriginDetector':args[6]} + elif intype == 'cone_vec': + if len(args) < 3: + raise Exception('not enough variables: astra_create_proj_geom(cone_vec, det_row_count, det_col_count, V)') + if not args[2].shape[1] == 12: + raise Exception('V should be a Nx12 matrix, with N the number of projections') + return {'type': 'cone_vec','DetectorRowCount':args[0],'DetectorColCount':args[1],'Vectors':args[2]} + elif intype == 'parallel3d_vec': + if len(args) < 3: + raise Exception('not enough variables: astra_create_proj_geom(parallel3d_vec, det_row_count, det_col_count, V)') + if not args[2].shape[1] == 12: + raise Exception('V should be a Nx12 matrix, with N the number of projections') + return {'type': 'parallel3d_vec','DetectorRowCount':args[0],'DetectorColCount':args[1],'Vectors':args[2]} + elif intype == 'sparse_matrix': + if len(args) < 4: + raise Exception( + 'not enough variables: astra_create_proj_geom(sparse_matrix, det_width, det_count, angles, matrix_id)') + return {'type': 'sparse_matrix', 'DetectorWidth': args[0], 'DetectorCount': args[1], 'ProjectionAngles': args[2], 'MatrixID': args[3]} + else: + raise Exception('Error: unknown type ' + intype) + +
+
[docs]def create_backprojection(data, proj_id, useCUDA=False, returnData=True): + """Create a backprojection of a sinogram (2D). + +:param data: Sinogram data or ID. +:type data: :class:`numpy.ndarray` or :class:`int` +:param proj_id: ID of the projector to use. +:type proj_id: :class:`int` +:param useCUDA: If ``True``, use CUDA for the calculation. +:type useCUDA: :class:`bool` +:param returnData: If False, only return the ID of the backprojection. +:type returnData: :class:`bool` +:returns: :class:`int` or (:class:`int`, :class:`numpy.ndarray`) -- If ``returnData=False``, returns the ID of the backprojection. Otherwise, returns a tuple containing the ID of the backprojection and the backprojection itself, in that order. + +""" + proj_geom = projector.projection_geometry(proj_id) + vol_geom = projector.volume_geometry(proj_id) + if isinstance(data, np.ndarray): + sino_id = data2d.create('-sino', proj_geom, data) + else: + sino_id = data + vol_id = data2d.create('-vol', vol_geom, 0) + + algString = 'BP' + if useCUDA: + algString = algString + '_CUDA' + + cfg = astra_dict(algString) + if not useCUDA: + cfg['ProjectorId'] = proj_id + cfg['ProjectionDataId'] = sino_id + cfg['ReconstructionDataId'] = vol_id + alg_id = algorithm.create(cfg) + algorithm.run(alg_id) + algorithm.delete(alg_id) + + if isinstance(data, np.ndarray): + data2d.delete(sino_id) + + if returnData: + return vol_id, data2d.get(vol_id) + else: + return vol_id +
+
[docs]def create_backprojection3d_gpu(data, proj_geom, vol_geom, returnData=True): + """Create a backprojection of a sinogram (3D) using CUDA. + +:param data: Sinogram data or ID. +:type data: :class:`numpy.ndarray` or :class:`int` +:param proj_geom: Projection geometry. +:type proj_geom: :class:`dict` +:param vol_geom: Volume geometry. +:type vol_geom: :class:`dict` +:param returnData: If False, only return the ID of the backprojection. +:type returnData: :class:`bool` +:returns: :class:`int` or (:class:`int`, :class:`numpy.ndarray`) -- If ``returnData=False``, returns the ID of the backprojection. Otherwise, returns a tuple containing the ID of the backprojection and the backprojection itself, in that order. + +""" + if isinstance(data, np.ndarray): + sino_id = data3d.create('-sino', proj_geom, data) + else: + sino_id = data + + vol_id = data3d.create('-vol', vol_geom, 0) + + cfg = astra_dict('BP3D_CUDA') + cfg['ProjectionDataId'] = sino_id + cfg['ReconstructionDataId'] = vol_id + alg_id = algorithm.create(cfg) + algorithm.run(alg_id) + algorithm.delete(alg_id) + + if isinstance(data, np.ndarray): + data3d.delete(sino_id) + + if returnData: + return vol_id, data3d.get(vol_id) + else: + return vol_id + +
+
[docs]def create_sino(data, proj_id=None, proj_geom=None, vol_geom=None, + useCUDA=False, returnData=True, gpuIndex=None): + """Create a forward projection of an image (2D). + + :param data: Image data or ID. + :type data: :class:`numpy.ndarray` or :class:`int` + :param proj_id: ID of the projector to use. + :type proj_id: :class:`int` + :param proj_geom: Projection geometry. + :type proj_geom: :class:`dict` + :param vol_geom: Volume geometry. + :type vol_geom: :class:`dict` + :param useCUDA: If ``True``, use CUDA for the calculation. + :type useCUDA: :class:`bool` + :param returnData: If False, only return the ID of the forward projection. + :type returnData: :class:`bool` + :param gpuIndex: Optional GPU index. + :type gpuIndex: :class:`int` + :returns: :class:`int` or (:class:`int`, :class:`numpy.ndarray`) + + If ``returnData=False``, returns the ID of the forward + projection. Otherwise, returns a tuple containing the ID of the + forward projection and the forward projection itself, in that + order. + + The geometry of setup is defined by ``proj_id`` or with + ``proj_geom`` and ``vol_geom``. If ``proj_id`` is given, then + ``proj_geom`` and ``vol_geom`` must be None and vice versa. +""" + if proj_id is not None: + proj_geom = projector.projection_geometry(proj_id) + vol_geom = projector.volume_geometry(proj_id) + elif proj_geom is not None and vol_geom is not None: + if not useCUDA: + # We need more parameters to create projector. + raise ValueError( + """A ``proj_id`` is needed when CUDA is not used.""") + else: + raise Exception("""The geometry setup is not defined. + The geometry of setup is defined by ``proj_id`` or with + ``proj_geom`` and ``vol_geom``. If ``proj_id`` is given, then + ``proj_geom`` and ``vol_geom`` must be None and vice versa.""") + + if isinstance(data, np.ndarray): + volume_id = data2d.create('-vol', vol_geom, data) + else: + volume_id = data + sino_id = data2d.create('-sino', proj_geom, 0) + algString = 'FP' + if useCUDA: + algString = algString + '_CUDA' + cfg = astra_dict(algString) + if not useCUDA: + cfg['ProjectorId'] = proj_id + if gpuIndex is not None: + cfg['option'] = {'GPUindex': gpuIndex} + cfg['ProjectionDataId'] = sino_id + cfg['VolumeDataId'] = volume_id + alg_id = algorithm.create(cfg) + algorithm.run(alg_id) + algorithm.delete(alg_id) + + if isinstance(data, np.ndarray): + data2d.delete(volume_id) + if returnData: + return sino_id, data2d.get(sino_id) + else: + return sino_id + + +
+
[docs]def create_sino3d_gpu(data, proj_geom, vol_geom, returnData=True, gpuIndex=None): + """Create a forward projection of an image (3D). + +:param data: Image data or ID. +:type data: :class:`numpy.ndarray` or :class:`int` +:param proj_geom: Projection geometry. +:type proj_geom: :class:`dict` +:param vol_geom: Volume geometry. +:type vol_geom: :class:`dict` +:param returnData: If False, only return the ID of the forward projection. +:type returnData: :class:`bool` +:param gpuIndex: Optional GPU index. +:type gpuIndex: :class:`int` +:returns: :class:`int` or (:class:`int`, :class:`numpy.ndarray`) -- If ``returnData=False``, returns the ID of the forward projection. Otherwise, returns a tuple containing the ID of the forward projection and the forward projection itself, in that order. + +""" + + if isinstance(data, np.ndarray): + volume_id = data3d.create('-vol', vol_geom, data) + else: + volume_id = data + sino_id = data3d.create('-sino', proj_geom, 0) + algString = 'FP3D_CUDA' + cfg = astra_dict(algString) + if not gpuIndex==None: + cfg['option']={'GPUindex':gpuIndex} + cfg['ProjectionDataId'] = sino_id + cfg['VolumeDataId'] = volume_id + alg_id = algorithm.create(cfg) + algorithm.run(alg_id) + algorithm.delete(alg_id) + + if isinstance(data, np.ndarray): + data3d.delete(volume_id) + if returnData: + return sino_id, data3d.get(sino_id) + else: + return sino_id + +
+
[docs]def create_reconstruction(rec_type, proj_id, sinogram, iterations=1, use_mask='no', mask=np.array([]), use_minc='no', minc=0, use_maxc='no', maxc=255, returnData=True, filterType=None, filterData=None): + """Create a reconstruction of a sinogram (2D). + +:param rec_type: Name of the reconstruction algorithm. +:type rec_type: :class:`string` +:param proj_id: ID of the projector to use. +:type proj_id: :class:`int` +:param sinogram: Sinogram data or ID. +:type sinogram: :class:`numpy.ndarray` or :class:`int` +:param iterations: Number of iterations to run. +:type iterations: :class:`int` +:param use_mask: Whether to use a mask. +:type use_mask: ``'yes'`` or ``'no'`` +:param mask: Mask data or ID +:type mask: :class:`numpy.ndarray` or :class:`int` +:param use_minc: Whether to force a minimum value on the reconstruction pixels. +:type use_minc: ``'yes'`` or ``'no'`` +:param minc: Minimum value to use. +:type minc: :class:`float` +:param use_maxc: Whether to force a maximum value on the reconstruction pixels. +:type use_maxc: ``'yes'`` or ``'no'`` +:param maxc: Maximum value to use. +:type maxc: :class:`float` +:param returnData: If False, only return the ID of the reconstruction. +:type returnData: :class:`bool` +:param filterType: Which type of filter to use for filter-based methods. +:type filterType: :class:`string` +:param filterData: Optional filter data for filter-based methods. +:type filterData: :class:`numpy.ndarray` +:returns: :class:`int` or (:class:`int`, :class:`numpy.ndarray`) -- If ``returnData=False``, returns the ID of the reconstruction. Otherwise, returns a tuple containing the ID of the reconstruction and reconstruction itself, in that order. + +""" + proj_geom = projector.projection_geometry(proj_id) + if isinstance(sinogram, np.ndarray): + sino_id = data2d.create('-sino', proj_geom, sinogram) + else: + sino_id = sinogram + vol_geom = projector.volume_geometry(proj_id) + recon_id = data2d.create('-vol', vol_geom, 0) + cfg = astra_dict(rec_type) + if not 'CUDA' in rec_type: + cfg['ProjectorId'] = proj_id + cfg['ProjectionDataId'] = sino_id + cfg['ReconstructionDataId'] = recon_id + cfg['options'] = {} + if use_mask == 'yes': + if isinstance(mask, np.ndarray): + mask_id = data2d.create('-vol', vol_geom, mask) + else: + mask_id = mask + cfg['options']['ReconstructionMaskId'] = mask_id + if not filterType == None: + cfg['FilterType'] = filterType + if not filterData == None: + if isinstance(filterData, np.ndarray): + nexpow = int( + pow(2, math.ceil(math.log(2 * proj_geom['DetectorCount'], 2)))) + filtSize = nexpow / 2 + 1 + filt_proj_geom = create_proj_geom( + 'parallel', 1.0, filtSize, proj_geom['ProjectionAngles']) + filt_id = data2d.create('-sino', filt_proj_geom, filterData) + else: + filt_id = filterData + cfg['FilterSinogramId'] = filt_id + cfg['options']['UseMinConstraint'] = use_minc + cfg['options']['MinConstraintValue'] = minc + cfg['options']['UseMaxConstraint'] = use_maxc + cfg['options']['MaxConstraintValue'] = maxc + cfg['options']['ProjectionOrder'] = 'random' + alg_id = algorithm.create(cfg) + algorithm.run(alg_id, iterations) + + algorithm.delete(alg_id) + + if isinstance(sinogram, np.ndarray): + data2d.delete(sino_id) + if use_mask == 'yes' and isinstance(mask, np.ndarray): + data2d.delete(mask_id) + if not filterData == None: + if isinstance(filterData, np.ndarray): + data2d.delete(filt_id) + if returnData: + return recon_id, data2d.get(recon_id) + else: + return recon_id + +
+
[docs]def create_projector(proj_type, proj_geom, vol_geom): + """Create a 2D projector. + +:param proj_type: Projector type, such as ``'line'``, ``'linear'``, ... +:type proj_type: :class:`string` +:param proj_geom: Projection geometry. +:type proj_geom: :class:`dict` +:param vol_geom: Volume geometry. +:type vol_geom: :class:`dict` +:returns: :class:`int` -- The ID of the projector. + +""" + if proj_type == 'blob': + raise Exception('Blob type not yet implemented') + cfg = astra_dict(proj_type) + cfg['ProjectionGeometry'] = proj_geom + cfg['VolumeGeometry'] = vol_geom + return projector.create(cfg)
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/data2d.html b/python/docSRC/_build/html/_modules/astra/data2d.html new file mode 100644 index 0000000..d77cddd --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/data2d.html @@ -0,0 +1,225 @@ + + + + + + + + astra.data2d — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.data2d

+#-----------------------------------------------------------------------
+#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/>.
+#
+#-----------------------------------------------------------------------
+from . import data2d_c as d
+
+
[docs]def clear(): + """Clear all 2D data objects.""" + return d.clear() +
+
[docs]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) +
+
[docs]def create(datatype, geometry, data=None): + """Create a 2D 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) +
+
[docs]def store(i, data): + """Fill existing 2D 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) +
+
[docs]def get_geometry(i): + """Get the geometry of a 2D 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) +
+
[docs]def change_geometry(i, geom): + """Change the geometry of a 2D object. + + :param i: ID of object. + :type i: :class:`int` + :param geom: new geometry. + :type geom: :class:`dict` + + """ + return d.change_geometry(i, geom) +
+
[docs]def get(i): + """Get a 2D object. + + :param i: ID of object to get. + :type i: :class:`int` + :returns: :class:`numpy.ndarray` -- The object data. + + """ + return d.get(i) +
+
[docs]def get_shared(i): + """Get a 2D 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) + +
+
[docs]def get_single(i): + """Get a 2D 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) +
+
[docs]def info(): + """Print info on 2D objects in memory.""" + return d.info()
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/data3d.html b/python/docSRC/_build/html/_modules/astra/data3d.html new file mode 100644 index 0000000..674d6d1 --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/data3d.html @@ -0,0 +1,213 @@ + + + + + + + + astra.data3d — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.data3d

+#-----------------------------------------------------------------------
+#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/>.
+#
+#-----------------------------------------------------------------------
+from . import data3d_c as d
+
+
[docs]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) +
+
[docs]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) +
+
[docs]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) +
+
[docs]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 g.get_single(i) +
+
[docs]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) +
+
[docs]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) +
+
[docs]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) +
+
[docs]def clear(): + """Clear all 3D data objects.""" + return d.clear() +
+
[docs]def info(): + """Print info on 3D objects in memory.""" + return d.info()
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/functions.html b/python/docSRC/_build/html/_modules/astra/functions.html new file mode 100644 index 0000000..336431f --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/functions.html @@ -0,0 +1,375 @@ + + + + + + + + astra.functions — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.functions

+#-----------------------------------------------------------------------
+# 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/>.
+#
+#-----------------------------------------------------------------------
+"""Additional functions for PyAstraToolbox.
+
+.. moduleauthor:: Daniel M. Pelt <D.M.Pelt@cwi.nl>
+
+
+"""
+
+from . import creators as ac
+import numpy as np
+from six.moves import range
+
+from . import data2d
+from . import data3d
+from . import projector
+from . import algorithm
+
+
+
+
[docs]def clear(): + """Clears all used memory of the ASTRA Toolbox. + + .. note:: + This is irreversible. + + """ + data2d.clear() + data3d.clear() + projector.clear() + algorithm.clear() + +
+
[docs]def data_op(op, data, scalar, gpu_core, mask=None): + """Perform data operation on data. + + :param op: Operation to perform. + :param data: Data to perform operation on. + :param scalar: Scalar argument to data operation. + :param gpu_core: GPU core to perform operation on. + :param mask: Optional mask. + + """ + + cfg = ac.astra_dict('DataOperation_CUDA') + cfg['Operation'] = op + cfg['Scalar'] = scalar + cfg['DataId'] = data + if not mask == None: + cfg['MaskId'] = mask + cfg['option']['GPUindex'] = gpu_core + alg_id = algorithm.create(cfg) + algorithm.run(alg_id) + algorithm.delete(alg_id) + +
+
[docs]def add_noise_to_sino(sinogram_in, I0, seed=None): + """Adds Poisson noise to a sinogram. + + :param sinogram_in: Sinogram to add noise to. + :type sinogram_in: :class:`numpy.ndarray` + :param I0: Background intensity. Lower values lead to higher noise. + :type I0: :class:`float` + :returns: :class:`numpy.ndarray` -- the sinogram with added noise. + + """ + + if not seed==None: + curstate = np.random.get_state() + np.random.seed(seed) + + if isinstance(sinogram_in, np.ndarray): + sinogramRaw = sinogram_in + else: + sinogramRaw = data2d.get(sinogram_in) + max_sinogramRaw = sinogramRaw.max() + sinogramRawScaled = sinogramRaw / max_sinogramRaw + # to detector count + sinogramCT = I0 * np.exp(-sinogramRawScaled) + # add poison noise + sinogramCT_C = np.zeros_like(sinogramCT) + for i in range(sinogramCT_C.shape[0]): + for j in range(sinogramCT_C.shape[1]): + sinogramCT_C[i, j] = np.random.poisson(sinogramCT[i, j]) + # to density + sinogramCT_D = sinogramCT_C / I0 + sinogram_out = -max_sinogramRaw * np.log(sinogramCT_D) + + if not isinstance(sinogram_in, np.ndarray): + at.data2d.store(sinogram_in, sinogram_out) + + if not seed==None: + np.random.set_state(curstate) + + return sinogram_out +
+
[docs]def move_vol_geom(geom, pos, is_relative=False): + """Moves center of volume geometry to new position. + + :param geom: Input volume geometry + :type geom: :class:`dict` + :param pos: Tuple (x,y[,z]) for new position, with the center of the image at (0,0[,0]) + :type pos: :class:`tuple` + :param is_relative: Whether new position is relative to the old position + :type is_relative: :class:`bool` + :returns: :class:`dict` -- Volume geometry with the new center + """ + + ret_geom = geom.copy() + ret_geom['option'] = geom['option'].copy() + + if not is_relative: + ret_geom['option']['WindowMinX'] = -geom['GridColCount']/2. + ret_geom['option']['WindowMaxX'] = geom['GridColCount']/2. + ret_geom['option']['WindowMinY'] = -geom['GridRowCount']/2. + ret_geom['option']['WindowMaxY'] = geom['GridRowCount']/2. + if len(pos)>2: + ret_geom['option']['WindowMinZ'] = -geom['GridSliceCount']/2. + ret_geom['option']['WindowMaxZ'] = geom['GridSliceCount']/2. + ret_geom['option']['WindowMinX'] += pos[0] + ret_geom['option']['WindowMaxX'] += pos[0] + ret_geom['option']['WindowMinY'] += pos[1] + ret_geom['option']['WindowMaxY'] += pos[1] + if len(pos)>2: + ret_geom['option']['WindowMinZ'] += pos[2] + ret_geom['option']['WindowMaxZ'] += pos[2] + return ret_geom + +
+
[docs]def geom_size(geom, dim=None): + """Returns the size of a volume or sinogram, based on the projection or volume geometry. + + :param geom: Geometry to calculate size from + :type geometry: :class:`dict` + :param dim: Optional axis index to return + :type dim: :class:`int` + """ + + if 'GridSliceCount' in geom: + # 3D Volume geometry? + s = (geom['GridSliceCount'], geom[ + 'GridRowCount'], geom['GridColCount']) + elif 'GridColCount' in geom: + # 2D Volume geometry? + s = (geom['GridRowCount'], geom['GridColCount']) + elif geom['type'] == 'parallel' or geom['type'] == 'fanflat': + s = (len(geom['ProjectionAngles']), geom['DetectorCount']) + elif geom['type'] == 'parallel3d' or geom['type'] == 'cone': + s = (geom['DetectorRowCount'], len( + geom['ProjectionAngles']), geom['DetectorColCount']) + elif geom['type'] == 'fanflat_vec': + s = (geom['Vectors'].shape[0], geom['DetectorCount']) + elif geom['type'] == 'parallel3d_vec' or geom['type'] == 'cone_vec': + s = (geom['DetectorRowCount'], geom[ + 'Vectors'].shape[0], geom['DetectorColCount']) + + if dim != None: + s = s[dim] + + return s + +
+
[docs]def geom_2vec(proj_geom): + """Returns a vector-based projection geometry from a basic projection geometry. + + :param proj_geom: Projection geometry to convert + :type proj_geom: :class:`dict` + """ + if proj_geom['type'] == 'fanflat': + angles = proj_geom['ProjectionAngles'] + vectors = np.zeros((len(angles), 6)) + for i in range(len(angles)): + + # source + vectors[i, 0] = np.sin(angles[i]) * proj_geom['DistanceOriginSource'] + vectors[i, 1] = -np.cos(angles[i]) * proj_geom['DistanceOriginSource'] + + # center of detector + vectors[i, 2] = -np.sin(angles[i]) * proj_geom['DistanceOriginDetector'] + vectors[i, 3] = np.cos(angles[i]) * proj_geom['DistanceOriginDetector'] + + # vector from detector pixel 0 to 1 + vectors[i, 4] = np.cos(angles[i]) * proj_geom['DetectorWidth'] + vectors[i, 5] = np.sin(angles[i]) * proj_geom['DetectorWidth'] + proj_geom_out = ac.create_proj_geom( + 'fanflat_vec', proj_geom['DetectorCount'], vectors) + + elif proj_geom['type'] == 'cone': + angles = proj_geom['ProjectionAngles'] + vectors = np.zeros((len(angles), 12)) + for i in range(len(angles)): + # source + vectors[i, 0] = np.sin(angles[i]) * proj_geom['DistanceOriginSource'] + vectors[i, 1] = -np.cos(angles[i]) * proj_geom['DistanceOriginSource'] + vectors[i, 2] = 0 + + # center of detector + vectors[i, 3] = -np.sin(angles[i]) * proj_geom['DistanceOriginDetector'] + vectors[i, 4] = np.cos(angles[i]) * proj_geom['DistanceOriginDetector'] + vectors[i, 5] = 0 + + # vector from detector pixel (0,0) to (0,1) + vectors[i, 6] = np.cos(angles[i]) * proj_geom['DetectorSpacingX'] + vectors[i, 7] = np.sin(angles[i]) * proj_geom['DetectorSpacingX'] + vectors[i, 8] = 0 + + # vector from detector pixel (0,0) to (1,0) + vectors[i, 9] = 0 + vectors[i, 10] = 0 + vectors[i, 11] = proj_geom['DetectorSpacingY'] + + proj_geom_out = ac.create_proj_geom( + 'cone_vec', proj_geom['DetectorRowCount'], proj_geom['DetectorColCount'], vectors) + + # PARALLEL + elif proj_geom['type'] == 'parallel3d': + angles = proj_geom['ProjectionAngles'] + vectors = np.zeros((len(angles), 12)) + for i in range(len(angles)): + + # ray direction + vectors[i, 0] = np.sin(angles[i]) + vectors[i, 1] = -np.cos(angles[i]) + vectors[i, 2] = 0 + + # center of detector + vectors[i, 3] = 0 + vectors[i, 4] = 0 + vectors[i, 5] = 0 + + # vector from detector pixel (0,0) to (0,1) + vectors[i, 6] = np.cos(angles[i]) * proj_geom['DetectorSpacingX'] + vectors[i, 7] = np.sin(angles[i]) * proj_geom['DetectorSpacingX'] + vectors[i, 8] = 0 + + # vector from detector pixel (0,0) to (1,0) + vectors[i, 9] = 0 + vectors[i, 10] = 0 + vectors[i, 11] = proj_geom['DetectorSpacingY'] + + proj_geom_out = ac.create_proj_geom( + 'parallel3d_vec', proj_geom['DetectorRowCount'], proj_geom['DetectorColCount'], vectors) + + else: + raise ValueError( + 'No suitable vector geometry found for type: ' + proj_geom['type']) + return proj_geom_out
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/matlab.html b/python/docSRC/_build/html/_modules/astra/matlab.html new file mode 100644 index 0000000..b58ff06 --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/matlab.html @@ -0,0 +1,217 @@ + + + + + + + + astra.matlab — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.matlab

+#-----------------------------------------------------------------------
+#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/>.
+#
+#-----------------------------------------------------------------------
+"""This module implements a MATLAB-like interface to the ASTRA Toolbox.
+
+Note that all functions are called with a :class:`string` as the first
+argument, specifying the operation to perform. This un-pythonic way
+is used to make transitioning from MATLAB code to Python code easier, as
+the MATLAB interface uses the same type of method calling.
+
+After an initial ``import astra``, these functions can be accessed in the
+``astra.m`` module.
+
+"""
+
+from . import astra_c
+from . import data2d_c
+from . import data3d_c
+from . import projector_c
+from . import algorithm_c
+from . import matrix_c
+import numpy as np
+
+
+
[docs]def astra(command, *args): + """MATLAB-like interface to the :mod:`astra.astra` module + + For example: + + ``astra.m.astra('use_cuda')`` -- Check if CUDA is enabled. + + """ + return getattr(astra_c, command)(*args) + +
+
[docs]def data2d(command, *args): + """MATLAB-like interface to the :mod:`astra.data2d` module + + For example: + + ``astra.m.data2d('create',type,geometry,data)`` -- Create a 2D object. + + """ + return getattr(data2d_c, command)(*args) + +
+
[docs]def data3d(command, *args): + """MATLAB-like interface to the :mod:`astra.data3d` module + + For example: + + ``astra.m.data3d('get',i)`` -- Get 3D object data. + + """ + return getattr(data3d_c, command)(*args) + +
+
[docs]def projector(command, *args): + """MATLAB-like interface to the :mod:`astra.projector` module + + For example: + + ``astra.m.projector('volume_geometry',i)`` -- Get volume geometry. + + """ + return getattr(projector_c, command)(*args) + +
+
[docs]def matrix(command, *args): + """MATLAB-like interface to the :mod:`astra.matrix` module + + For example: + + ``astra.m.matrix('delete',i)`` -- Delete a matrix. + + """ + return getattr(matrix_c, command)(*args) + +
+
[docs]def algorithm(command, *args): + """MATLAB-like interface to the :mod:`astra.algorithm` module + + For example: + + ``astra.m.algorithm('run',i,1000)`` -- Run an algorithm with 1000 iterations. + + """ + if command == 'iterate': + command = 'run' + return getattr(algorithm_c, command)(*args)
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/matrix.html b/python/docSRC/_build/html/_modules/astra/matrix.html new file mode 100644 index 0000000..5f75455 --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/matrix.html @@ -0,0 +1,191 @@ + + + + + + + + astra.matrix — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.matrix

+#-----------------------------------------------------------------------
+#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/>.
+#
+#-----------------------------------------------------------------------
+from . import matrix_c as m
+
+
[docs]def delete(ids): + """Delete a matrix object. + + :param ids: ID or list of ID's to delete. + :type ids: :class:`int` or :class:`list` + + """ + return m.delete(ids) +
+
[docs]def clear(): + """Clear all matrix objects.""" + return m.clear() +
+
[docs]def create(data): + """Create matrix object with data. + + :param data: Data to fill the created object with. + :type data: :class:`scipy.sparse.csr_matrix` + :returns: :class:`int` -- the ID of the constructed object. + + """ + return m.create(data) + +
+
[docs]def store(i,data): + """Fill existing matrix object with data. + + :param i: ID of object to fill. + :type i: :class:`int` + :param data: Data to fill the object with. + :type data: :class:`scipy.sparse.csr_matrix` + + """ + return m.store(i,data) +
+
[docs]def get_size(i): + """Get matrix dimensions. + + :param i: ID of object. + :type i: :class:`int` + :returns: :class:`tuple` -- matrix dimensions. + """ + return m.get_size(i) +
+
[docs]def get(i): + """Get a matrix object. + + :param i: ID of object to get. + :type i: :class:`int` + :returns: :class:`scipy.sparse.csr_matrix` -- The object data. + + """ + return m.get(i) +
+
[docs]def info(): + """Print info on matrix objects in memory.""" + return m.info() + +
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/astra/projector.html b/python/docSRC/_build/html/_modules/astra/projector.html new file mode 100644 index 0000000..5982b54 --- /dev/null +++ b/python/docSRC/_build/html/_modules/astra/projector.html @@ -0,0 +1,205 @@ + + + + + + + + astra.projector — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for astra.projector

+#-----------------------------------------------------------------------
+#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/>.
+#
+#-----------------------------------------------------------------------
+from . import projector_c as p
+
+
[docs]def create(config): + """Create projector object. + + :param config: Projector options. + :type config: :class:`dict` + :returns: :class:`int` -- the ID of the constructed object. + + """ + return p.create(config) + +
+
[docs]def delete(ids): + """Delete a projector object. + + :param ids: ID or list of ID's to delete. + :type ids: :class:`int` or :class:`list` + + """ + return p.delete(ids) + +
+
[docs]def clear(): + """Clear all projector objects.""" + return p.clear() + +
+
[docs]def info(): + """Print info on projector objects in memory.""" + return p.info() +
+
[docs]def projection_geometry(i): + """Get projection geometry of a projector. + + :param i: ID of projector. + :type i: :class:`int` + :returns: :class:`dict` -- projection geometry + + """ + return p.projection_geometry(i) + +
+
[docs]def volume_geometry(i): + """Get volume geometry of a projector. + + :param i: ID of projector. + :type i: :class:`int` + :returns: :class:`dict` -- volume geometry + + """ + return p.volume_geometry(i) + +
+
[docs]def weights_single_ray(i, projection_index, detector_index): + return p.weights_single_ray(i, projection_index, detector_index) + +
+
[docs]def weights_projection(i, projection_index): + return p.weights_projection(i, projection_index) + +
+
[docs]def splat(i, row, col): + return p.splat(i, row, col) + +
+
[docs]def matrix(i): + """Get sparse matrix of a projector. + + :param i: ID of projector. + :type i: :class:`int` + :returns: :class:`int` -- ID of sparse matrix. + + """ + return p.matrix(i)
+
+ +
+
+
+
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_modules/index.html b/python/docSRC/_build/html/_modules/index.html new file mode 100644 index 0000000..a844d93 --- /dev/null +++ b/python/docSRC/_build/html/_modules/index.html @@ -0,0 +1,112 @@ + + + + + + + + Overview: module code — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + +
+ +
+
+ + +
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/_sources/ASTRAProjector.txt b/python/docSRC/_build/html/_sources/ASTRAProjector.txt new file mode 100644 index 0000000..1c267e3 --- /dev/null +++ b/python/docSRC/_build/html/_sources/ASTRAProjector.txt @@ -0,0 +1,8 @@ +Helper class: the :mod:`ASTRAProjector` module +============================================== + +.. automodule:: astra.ASTRAProjector + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/algorithm.txt b/python/docSRC/_build/html/_sources/algorithm.txt new file mode 100644 index 0000000..83752bd --- /dev/null +++ b/python/docSRC/_build/html/_sources/algorithm.txt @@ -0,0 +1,8 @@ +Algorithms: the :mod:`algorithm` module +======================================= + +.. automodule:: astra.algorithm + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/astra.txt b/python/docSRC/_build/html/_sources/astra.txt new file mode 100644 index 0000000..5d5fdf0 --- /dev/null +++ b/python/docSRC/_build/html/_sources/astra.txt @@ -0,0 +1,8 @@ +Additional ASTRA methods: the :mod:`astra` module +======================================================== + +.. automodule:: astra.astra + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/creators.txt b/python/docSRC/_build/html/_sources/creators.txt new file mode 100644 index 0000000..d6249c3 --- /dev/null +++ b/python/docSRC/_build/html/_sources/creators.txt @@ -0,0 +1,8 @@ +Creation of objects: the :mod:`creators` module +=============================================== + +.. automodule:: astra.creators + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/data2d.txt b/python/docSRC/_build/html/_sources/data2d.txt new file mode 100644 index 0000000..342cbec --- /dev/null +++ b/python/docSRC/_build/html/_sources/data2d.txt @@ -0,0 +1,8 @@ +2D data objects: the :mod:`data2d` module +========================================= + +.. automodule:: astra.data2d + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/data3d.txt b/python/docSRC/_build/html/_sources/data3d.txt new file mode 100644 index 0000000..5b7de23 --- /dev/null +++ b/python/docSRC/_build/html/_sources/data3d.txt @@ -0,0 +1,8 @@ +3D data objects: the :mod:`data3d` module +========================================= + +.. automodule:: astra.data3d + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/functions.txt b/python/docSRC/_build/html/_sources/functions.txt new file mode 100644 index 0000000..749eb27 --- /dev/null +++ b/python/docSRC/_build/html/_sources/functions.txt @@ -0,0 +1,8 @@ +Additional functions: the :mod:`functions` module +================================================= + +.. automodule:: astra.functions + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/index.txt b/python/docSRC/_build/html/_sources/index.txt new file mode 100644 index 0000000..8d17a4a --- /dev/null +++ b/python/docSRC/_build/html/_sources/index.txt @@ -0,0 +1,34 @@ +.. .. documentation master file, created by + sphinx-quickstart on Wed Mar 13 16:36:32 2013. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Welcome to PyASTRAToolbox's documentation! +========================================== + +Contents: + +.. toctree:: + :maxdepth: 4 + + data2d + data3d + projector + algorithm + matrix + creators + functions + ASTRAProjector + matlab + astra +.. astra +.. builder + + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` + diff --git a/python/docSRC/_build/html/_sources/matlab.txt b/python/docSRC/_build/html/_sources/matlab.txt new file mode 100644 index 0000000..fb7033e --- /dev/null +++ b/python/docSRC/_build/html/_sources/matlab.txt @@ -0,0 +1,8 @@ +MATLAB compatibility interface: the :mod:`matlab` module +======================================================== + +.. automodule:: astra.matlab + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/matrix.txt b/python/docSRC/_build/html/_sources/matrix.txt new file mode 100644 index 0000000..6f11d8a --- /dev/null +++ b/python/docSRC/_build/html/_sources/matrix.txt @@ -0,0 +1,8 @@ +Sparse matrices: the :mod:`matrix` module +========================================= + +.. automodule:: astra.matrix + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_sources/projector.txt b/python/docSRC/_build/html/_sources/projector.txt new file mode 100644 index 0000000..b0854e8 --- /dev/null +++ b/python/docSRC/_build/html/_sources/projector.txt @@ -0,0 +1,8 @@ +Projector object: the :mod:`projector` module +============================================= + +.. automodule:: astra.projector + :members: + :undoc-members: + :show-inheritance: + diff --git a/python/docSRC/_build/html/_static/ajax-loader.gif b/python/docSRC/_build/html/_static/ajax-loader.gif new file mode 100644 index 0000000..61faf8c Binary files /dev/null and b/python/docSRC/_build/html/_static/ajax-loader.gif differ diff --git a/python/docSRC/_build/html/_static/basic.css b/python/docSRC/_build/html/_static/basic.css new file mode 100644 index 0000000..967e36c --- /dev/null +++ b/python/docSRC/_build/html/_static/basic.css @@ -0,0 +1,537 @@ +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2014 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout ----------------------------------------------------------- */ + +div.clearer { + clear: both; +} + +/* -- relbar 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+.highlight .vg { color: #bb60d5 } /* Name.Variable.Global */ +.highlight .vi { color: #bb60d5 } /* Name.Variable.Instance */ +.highlight .il { color: #208050 } /* Literal.Number.Integer.Long */ \ No newline at end of file diff --git a/python/docSRC/_build/html/_static/searchtools.js b/python/docSRC/_build/html/_static/searchtools.js new file mode 100644 index 0000000..6e1f06b --- /dev/null +++ b/python/docSRC/_build/html/_static/searchtools.js @@ -0,0 +1,622 @@ +/* + * searchtools.js_t + * ~~~~~~~~~~~~~~~~ + * + * Sphinx JavaScript utilties for the full-text search. + * + * :copyright: Copyright 2007-2014 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + + +/** + * Porter Stemmer + */ +var Stemmer = function() { + + var step2list = { + ational: 'ate', + tional: 'tion', + enci: 'ence', + anci: 'ance', + izer: 'ize', + bli: 'ble', + alli: 'al', + entli: 'ent', + eli: 'e', + ousli: 'ous', + ization: 'ize', + ation: 'ate', + ator: 'ate', + alism: 'al', + iveness: 'ive', + fulness: 'ful', + ousness: 'ous', + aliti: 'al', + iviti: 'ive', + biliti: 'ble', + logi: 'log' + }; + + var step3list = { + icate: 'ic', + ative: '', + alize: 'al', + iciti: 'ic', + ical: 'ic', + ful: '', + ness: '' + }; + + var c = "[^aeiou]"; // consonant + var v = "[aeiouy]"; // vowel + var C = c + "[^aeiouy]*"; // consonant sequence + var V = v + "[aeiou]*"; // vowel sequence + + var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 + var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 + var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 + var s_v = "^(" + C + ")?" + v; // vowel in stem + + this.stemWord = function (w) { + var stem; + var suffix; + var firstch; + var origword = w; + + if (w.length < 3) + return w; + + var re; + var re2; + var re3; + var re4; + + firstch = w.substr(0,1); + if (firstch == "y") + w = firstch.toUpperCase() + w.substr(1); + + // Step 1a + re = /^(.+?)(ss|i)es$/; + re2 = /^(.+?)([^s])s$/; + + if (re.test(w)) + w = w.replace(re,"$1$2"); + else if (re2.test(w)) + w = w.replace(re2,"$1$2"); + + // Step 1b + re = /^(.+?)eed$/; + re2 = /^(.+?)(ed|ing)$/; + if (re.test(w)) { + var fp = re.exec(w); + re = new RegExp(mgr0); + if (re.test(fp[1])) { + re = /.$/; + w = w.replace(re,""); + } + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = new RegExp(s_v); + if (re2.test(stem)) { + w = stem; + re2 = /(at|bl|iz)$/; + re3 = new RegExp("([^aeiouylsz])\\1$"); + re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + if (re.test(stem)) + w = stem; + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = new RegExp(mgr1); + if (re2.test(stem)) + w = stem; + } + + // Step 5 + re = /^(.+?)e$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + re2 = new RegExp(meq1); + re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) + w = stem; + } + re = /ll$/; + re2 = new RegExp(mgr1); + if (re.test(w) && re2.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + + // and turn initial Y back to y + if (firstch == "y") + w = firstch.toLowerCase() + w.substr(1); + return w; + } +} + + + +/** + * Simple result scoring code. + */ +var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [filename, title, anchor, descr, score] + // and returns the new score. + /* + score: function(result) { + return result[4]; + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: {0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5}, // used to be unimportantResults + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + // query found in terms + term: 5 +}; + + +/** + * Search Module + */ +var Search = { + + _index : null, + _queued_query : null, + _pulse_status : -1, + + init : function() { + var params = $.getQueryParameters(); + if (params.q) { + var query = params.q[0]; + $('input[name="q"]')[0].value = query; + this.performSearch(query); + } + }, + + loadIndex : function(url) { + $.ajax({type: "GET", url: url, data: null, + dataType: "script", cache: true, + complete: function(jqxhr, textstatus) { + if (textstatus != "success") { + document.getElementById("searchindexloader").src = url; + } + }}); + }, + + setIndex : function(index) { + var q; + this._index = index; + if ((q = this._queued_query) !== null) { + this._queued_query = null; + Search.query(q); + } + }, + + hasIndex : function() { + return this._index !== null; + }, + + deferQuery : function(query) { + this._queued_query = query; + }, + + stopPulse : function() { + this._pulse_status = 0; + }, + + startPulse : function() { + if (this._pulse_status >= 0) + return; + function pulse() { + var i; + Search._pulse_status = (Search._pulse_status + 1) % 4; + var dotString = ''; + for (i = 0; i < Search._pulse_status; i++) + dotString += '.'; + Search.dots.text(dotString); + if (Search._pulse_status > -1) + window.setTimeout(pulse, 500); + } + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch : function(query) { + // create the required interface elements + this.out = $('#search-results'); + this.title = $('

' + _('Searching') + '

').appendTo(this.out); + this.dots = $('').appendTo(this.title); + this.status = $('

').appendTo(this.out); + this.output = $('
'); + } + // Prettify the comment rating. + comment.pretty_rating = comment.rating + ' point' + + (comment.rating == 1 ? '' : 's'); + // Make a class (for displaying not yet moderated comments differently) + comment.css_class = comment.displayed ? '' : ' moderate'; + // Create a div for this comment. + var context = $.extend({}, opts, comment); + var div = $(renderTemplate(commentTemplate, context)); + + // If the user has voted on this comment, highlight the correct arrow. + if (comment.vote) { + var direction = (comment.vote == 1) ? 'u' : 'd'; + div.find('#' + direction + 'v' + comment.id).hide(); + div.find('#' + direction + 'u' + comment.id).show(); + } + + if (opts.moderator || comment.text != '[deleted]') { + div.find('a.reply').show(); + if (comment.proposal_diff) + div.find('#sp' + comment.id).show(); + if (opts.moderator && !comment.displayed) + div.find('#cm' + comment.id).show(); + if (opts.moderator || (opts.username == comment.username)) + div.find('#dc' + comment.id).show(); + } + return div; + } + + /** + * A simple template renderer. Placeholders such as <%id%> are replaced + * by context['id'] with items being escaped. Placeholders such as <#id#> + * are not escaped. + */ + function renderTemplate(template, context) { + var esc = $(document.createElement('div')); + + function handle(ph, escape) { + var cur = context; + $.each(ph.split('.'), function() { + cur = cur[this]; + }); + return escape ? esc.text(cur || "").html() : cur; + } + + return template.replace(/<([%#])([\w\.]*)\1>/g, function() { + return handle(arguments[2], arguments[1] == '%' ? true : false); + }); + } + + /** Flash an error message briefly. */ + function showError(message) { + $(document.createElement('div')).attr({'class': 'popup-error'}) + .append($(document.createElement('div')) + .attr({'class': 'error-message'}).text(message)) + .appendTo('body') + .fadeIn("slow") + .delay(2000) + .fadeOut("slow"); + } + + /** Add a link the user uses to open the comments popup. */ + $.fn.comment = function() { + return this.each(function() { + var id = $(this).attr('id').substring(1); + var count = COMMENT_METADATA[id]; + var title = count + ' comment' + (count == 1 ? '' : 's'); + var image = count > 0 ? opts.commentBrightImage : opts.commentImage; + var addcls = count == 0 ? ' nocomment' : ''; + $(this) + .append( + $(document.createElement('a')).attr({ + href: '#', + 'class': 'sphinx-comment-open' + addcls, + id: 'ao' + id + }) + .append($(document.createElement('img')).attr({ + src: image, + alt: 'comment', + title: title + })) + .click(function(event) { + event.preventDefault(); + show($(this).attr('id').substring(2)); + }) + ) + .append( + $(document.createElement('a')).attr({ + href: '#', + 'class': 'sphinx-comment-close hidden', + id: 'ah' + id + }) + .append($(document.createElement('img')).attr({ + src: opts.closeCommentImage, + alt: 'close', + title: 'close' + })) + .click(function(event) { + event.preventDefault(); + hide($(this).attr('id').substring(2)); + }) + ); + }); + }; + + var opts = { + processVoteURL: '/_process_vote', + addCommentURL: '/_add_comment', + getCommentsURL: '/_get_comments', + acceptCommentURL: '/_accept_comment', + deleteCommentURL: '/_delete_comment', + commentImage: '/static/_static/comment.png', + closeCommentImage: '/static/_static/comment-close.png', + loadingImage: '/static/_static/ajax-loader.gif', + commentBrightImage: '/static/_static/comment-bright.png', + upArrow: '/static/_static/up.png', + downArrow: '/static/_static/down.png', + upArrowPressed: '/static/_static/up-pressed.png', + downArrowPressed: '/static/_static/down-pressed.png', + voting: false, + moderator: false + }; + + if (typeof COMMENT_OPTIONS != "undefined") { + opts = jQuery.extend(opts, COMMENT_OPTIONS); + } + + var popupTemplate = '\ +
\ +

\ + Sort by:\ + best rated\ + newest\ + oldest\ +

\ +
Comments
\ +
\ + loading comments...
\ +
    \ +
    \ +

    Add a comment\ + (markup):

    \ +
    \ + reStructured text markup: *emph*, **strong**, \ + ``code``, \ + code blocks: :: and an indented block after blank line
    \ +
    \ + \ +

    \ + \ + Propose a change ▹\ + \ + \ + Propose a change ▿\ + \ +

    \ + \ + \ + \ + \ + \ +
    \ +
    '; + + var commentTemplate = '\ +
    \ +
    \ +
    \ + \ + \ + \ + \ + \ + \ +
    \ +
    \ + \ + \ + \ + \ + \ + \ +
    \ +
    \ +
    \ +

    \ + <%username%>\ + <%pretty_rating%>\ + <%time.delta%>\ +

    \ +
    <#text#>
    \ +

    \ + \ + reply ▿\ + proposal ▹\ + proposal ▿\ + \ + \ +

    \ +
    \
    +<#proposal_diff#>\
    +        
    \ +
      \ +
      \ +
      \ +
      \ + '; + + var replyTemplate = '\ +
    • \ +
      \ +
      \ + \ + \ + \ + \ + \ + \ +
      \ +
    • '; + + $(document).ready(function() { + init(); + }); +})(jQuery); + +$(document).ready(function() { + // add comment anchors for all paragraphs that are commentable + $('.sphinx-has-comment').comment(); + + // highlight search words in search results + $("div.context").each(function() { + var params = $.getQueryParameters(); + var terms = (params.q) ? params.q[0].split(/\s+/) : []; + var result = $(this); + $.each(terms, function() { + result.highlightText(this.toLowerCase(), 'highlighted'); + }); + }); + + // directly open comment window if requested + var anchor = document.location.hash; + if (anchor.substring(0, 9) == '#comment-') { + $('#ao' + anchor.substring(9)).click(); + document.location.hash = '#s' + anchor.substring(9); + } +}); diff --git a/python/docSRC/_build/html/algorithm.html b/python/docSRC/_build/html/algorithm.html new file mode 100644 index 0000000..bf4b90f --- /dev/null +++ b/python/docSRC/_build/html/algorithm.html @@ -0,0 +1,205 @@ + + + + + + + + Algorithms: the algorithm module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Algorithms: the algorithm module

      +
      +
      +astra.algorithm.clear()[source]
      +

      Clear all matrix objects.

      +
      + +
      +
      +astra.algorithm.create(config)[source]
      +

      Create algorithm object.

      +
      +++ + + + + + +
      Parameters:config (dict) – Algorithm options.
      Returns:int – the ID of the constructed object.
      + + +
      +
      +astra.algorithm.delete(ids)[source]
      +

      Delete a matrix object.

      + +++ + + + +
      Parameters:ids (int or list) – ID or list of ID’s to delete.
      +
      + +
      +
      +astra.algorithm.get_res_norm(i)[source]
      +

      Get residual norm of algorithm.

      + +++ + + + + + +
      Parameters:i (int) – ID of object.
      Returns:float – The residual norm.
      +
      + +
      +
      +astra.algorithm.info()[source]
      +

      Print info on matrix objects in memory.

      +
      + +
      +
      +astra.algorithm.run(i, iterations=1)[source]
      +

      Run an algorithm.

      + +++ + + + +
      Parameters:
        +
      • i (int) – ID of object.
      • +
      • iterations (int) – Number of iterations to run.
      • +
      +
      +
      + + + + + + + +
      +
      +

      Previous topic

      +

      Projector object: the projector module

      +

      Next topic

      +

      Sparse matrices: the matrix module

      +

      This Page

      + + + +
      +
      +
      + + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/astra.html b/python/docSRC/_build/html/astra.html new file mode 100644 index 0000000..42d68b8 --- /dev/null +++ b/python/docSRC/_build/html/astra.html @@ -0,0 +1,169 @@ + + + + + + + + Additional ASTRA methods: the astra module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Additional ASTRA methods: the astra module

      +
      +
      +astra.astra.credits()[source]
      +

      Print credits of the ASTRA Toolbox.

      +
      + +
      +
      +astra.astra.set_gpu_index(idx)[source]
      +

      Set default GPU index to use.

      + +++ + + + +
      Parameters:idx (int) – GPU index
      +
      + +
      +
      +astra.astra.use_cuda()[source]
      +

      Test if CUDA is enabled.

      + +++ + + + +
      Returns:boolTrue if CUDA is enabled.
      +
      + +
      +
      +astra.astra.version(printToScreen=False)[source]
      +

      Check version of the ASTRA Toolbox.

      + +++ + + + + + +
      Parameters:printToScreen (bool) – If True, print version string. If False, return version integer.
      Returns:string or int – The version string or integer.
      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      MATLAB compatibility interface: the matlab module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/creators.html b/python/docSRC/_build/html/creators.html new file mode 100644 index 0000000..2f29232 --- /dev/null +++ b/python/docSRC/_build/html/creators.html @@ -0,0 +1,520 @@ + + + + + + + + Creation of objects: the creators module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Creation of objects: the creators module

      +
      +
      +astra.creators.astra_dict(intype)[source]
      +

      Creates a dict to use with the ASTRA Toolbox.

      + +++ + + + + + +
      Parameters:intype (string) – Type of the ASTRA object.
      Returns:dict – An ASTRA dict of type intype.
      +
      + +
      +
      +astra.creators.create_backprojection(data, proj_id, useCUDA=False, returnData=True)[source]
      +

      Create a backprojection of a sinogram (2D).

      + +++ + + + + + +
      Parameters:
        +
      • data (numpy.ndarray or int) – Sinogram data or ID.
      • +
      • proj_id (int) – ID of the projector to use.
      • +
      • useCUDA (bool) – If True, use CUDA for the calculation.
      • +
      • returnData (bool) – If False, only return the ID of the backprojection.
      • +
      +
      Returns:

      int or (int, numpy.ndarray) – If returnData=False, returns the ID of the backprojection. Otherwise, returns a tuple containing the ID of the backprojection and the backprojection itself, in that order.

      +
      +
      + +
      +
      +astra.creators.create_backprojection3d_gpu(data, proj_geom, vol_geom, returnData=True)[source]
      +

      Create a backprojection of a sinogram (3D) using CUDA.

      + +++ + + + + + +
      Parameters:
        +
      • data (numpy.ndarray or int) – Sinogram data or ID.
      • +
      • proj_geom (dict) – Projection geometry.
      • +
      • vol_geom (dict) – Volume geometry.
      • +
      • returnData (bool) – If False, only return the ID of the backprojection.
      • +
      +
      Returns:

      int or (int, numpy.ndarray) – If returnData=False, returns the ID of the backprojection. Otherwise, returns a tuple containing the ID of the backprojection and the backprojection itself, in that order.

      +
      +
      + +
      +
      +astra.creators.create_proj_geom(intype, *args)[source]
      +

      Create a projection geometry.

      +

      This method can be called in a number of ways:

      +

      create_proj_geom('parallel', detector_spacing, det_count, angles):

      + +++ + + + + + +
      Parameters:
        +
      • detector_spacing (float) – Distance between two adjacent detector pixels.
      • +
      • det_count (int) – Number of detector pixels.
      • +
      • angles (numpy.ndarray) – Array of angles in radians.
      • +
      +
      Returns:

      A parallel projection geometry.

      +
      +

      create_proj_geom('fanflat', det_width, det_count, angles, source_origin, source_det):

      + +++ + + + + + +
      Parameters:
        +
      • det_width (float) – Size of a detector pixel.
      • +
      • det_count (int) – Number of detector pixels.
      • +
      • angles (numpy.ndarray) – Array of angles in radians.
      • +
      • source_origin – Position of the source.
      • +
      • source_det – Position of the detector
      • +
      +
      Returns:

      A fan-beam projection geometry.

      +
      +

      create_proj_geom('fanflat_vec', det_count, V):

      + +++ + + + + + +
      Parameters:
        +
      • det_count (int) – Number of detector pixels.
      • +
      • V (numpy.ndarray) – Vector array.
      • +
      +
      Returns:

      A fan-beam projection geometry.

      +
      +

      create_proj_geom('parallel3d', detector_spacing_x, detector_spacing_y, det_row_count, det_col_count, angles):

      + +++ + + + + + +
      Parameters:
        +
      • detector_spacing_* (float) – Distance between two adjacent detector pixels.
      • +
      • det_row_count (int) – Number of detector pixel rows.
      • +
      • det_col_count (int) – Number of detector pixel columns.
      • +
      • angles (numpy.ndarray) – Array of angles in radians.
      • +
      +
      Returns:

      A parallel projection geometry.

      +
      +

      create_proj_geom('cone', detector_spacing_x, detector_spacing_y, det_row_count, det_col_count, angles, source_origin, source_det):

      + +++ + + + + + +
      Parameters:
        +
      • detector_spacing_* (float) – Distance between two adjacent detector pixels.
      • +
      • det_row_count (int) – Number of detector pixel rows.
      • +
      • det_col_count (int) – Number of detector pixel columns.
      • +
      • angles (numpy.ndarray) – Array of angles in radians.
      • +
      • source_origin (float) – Distance between point source and origin.
      • +
      • source_det (float) – Distance between the detector and origin.
      • +
      +
      Returns:

      A cone-beam projection geometry.

      +
      +

      create_proj_geom('cone_vec', det_row_count, det_col_count, V):

      + +++ + + + + + +
      Parameters:
        +
      • det_row_count (int) – Number of detector pixel rows.
      • +
      • det_col_count (int) – Number of detector pixel columns.
      • +
      • V (numpy.ndarray) – Vector array.
      • +
      +
      Returns:

      A cone-beam projection geometry.

      +
      +

      create_proj_geom('parallel3d_vec', det_row_count, det_col_count, V):

      + +++ + + + + + +
      Parameters:
        +
      • det_row_count (int) – Number of detector pixel rows.
      • +
      • det_col_count (int) – Number of detector pixel columns.
      • +
      • V (numpy.ndarray) – Vector array.
      • +
      +
      Returns:

      A parallel projection geometry.

      +
      +

      create_proj_geom('sparse_matrix', det_width, det_count, angles, matrix_id):

      + +++ + + + + + +
      Parameters:
        +
      • det_width (float) – Size of a detector pixel.
      • +
      • det_count (int) – Number of detector pixels.
      • +
      • angles (numpy.ndarray) – Array of angles in radians.
      • +
      • matrix_id (int) – ID of the sparse matrix.
      • +
      +
      Returns:

      A projection geometry based on a sparse matrix.

      +
      +
      + +
      +
      +astra.creators.create_projector(proj_type, proj_geom, vol_geom)[source]
      +

      Create a 2D projector.

      + +++ + + + + + +
      Parameters:
        +
      • proj_type (string) – Projector type, such as 'line', 'linear', ...
      • +
      • proj_geom (dict) – Projection geometry.
      • +
      • vol_geom (dict) – Volume geometry.
      • +
      +
      Returns:

      int – The ID of the projector.

      +
      +
      + +
      +
      +astra.creators.create_reconstruction(rec_type, proj_id, sinogram, iterations=1, use_mask='no', mask=array([], dtype=float64), use_minc='no', minc=0, use_maxc='no', maxc=255, returnData=True, filterType=None, filterData=None)[source]
      +

      Create a reconstruction of a sinogram (2D).

      + +++ + + + + + +
      Parameters:
        +
      • rec_type (string) – Name of the reconstruction algorithm.
      • +
      • proj_id (int) – ID of the projector to use.
      • +
      • sinogram (numpy.ndarray or int) – Sinogram data or ID.
      • +
      • iterations (int) – Number of iterations to run.
      • +
      • use_mask ('yes' or 'no') – Whether to use a mask.
      • +
      • mask (numpy.ndarray or int) – Mask data or ID
      • +
      • use_minc ('yes' or 'no') – Whether to force a minimum value on the reconstruction pixels.
      • +
      • minc (float) – Minimum value to use.
      • +
      • use_maxc ('yes' or 'no') – Whether to force a maximum value on the reconstruction pixels.
      • +
      • maxc (float) – Maximum value to use.
      • +
      • returnData (bool) – If False, only return the ID of the reconstruction.
      • +
      • filterType (string) – Which type of filter to use for filter-based methods.
      • +
      • filterData (numpy.ndarray) – Optional filter data for filter-based methods.
      • +
      +
      Returns:

      int or (int, numpy.ndarray) – If returnData=False, returns the ID of the reconstruction. Otherwise, returns a tuple containing the ID of the reconstruction and reconstruction itself, in that order.

      +
      +
      + +
      +
      +astra.creators.create_sino(data, proj_id=None, proj_geom=None, vol_geom=None, useCUDA=False, returnData=True, gpuIndex=None)[source]
      +

      Create a forward projection of an image (2D).

      + +++ + + + + + +
      Parameters:
        +
      • data (numpy.ndarray or int) – Image data or ID.
      • +
      • proj_id (int) – ID of the projector to use.
      • +
      • proj_geom (dict) – Projection geometry.
      • +
      • vol_geom (dict) – Volume geometry.
      • +
      • useCUDA (bool) – If True, use CUDA for the calculation.
      • +
      • returnData (bool) – If False, only return the ID of the forward projection.
      • +
      • gpuIndex (int) – Optional GPU index.
      • +
      +
      Returns:

      int or (int, numpy.ndarray)

      +
      +

      If returnData=False, returns the ID of the forward +projection. Otherwise, returns a tuple containing the ID of the +forward projection and the forward projection itself, in that +order.

      +

      The geometry of setup is defined by proj_id or with +proj_geom and vol_geom. If proj_id is given, then +proj_geom and vol_geom must be None and vice versa.

      +
      + +
      +
      +astra.creators.create_sino3d_gpu(data, proj_geom, vol_geom, returnData=True, gpuIndex=None)[source]
      +

      Create a forward projection of an image (3D).

      + +++ + + + + + +
      Parameters:
        +
      • data (numpy.ndarray or int) – Image data or ID.
      • +
      • proj_geom (dict) – Projection geometry.
      • +
      • vol_geom (dict) – Volume geometry.
      • +
      • returnData (bool) – If False, only return the ID of the forward projection.
      • +
      • gpuIndex (int) – Optional GPU index.
      • +
      +
      Returns:

      int or (int, numpy.ndarray) – If returnData=False, returns the ID of the forward projection. Otherwise, returns a tuple containing the ID of the forward projection and the forward projection itself, in that order.

      +
      +
      + +
      +
      +astra.creators.create_vol_geom(*varargin)[source]
      +

      Create a volume geometry structure.

      +

      This method can be called in a number of ways:

      +
      +
      create_vol_geom(N):
      +
      +++ + + + +
      returns:A 2D volume geometry of size \(N \times N\).
      +
      +
      create_vol_geom((M, N)):
      +
      +++ + + + +
      returns:A 2D volume geometry of size \(M \times N\).
      +
      +
      create_vol_geom(M, N):
      +
      +++ + + + +
      returns:A 2D volume geometry of size \(M \times N\).
      +
      +
      create_vol_geom(M, N, minx, maxx, miny, maxy):
      +
      +++ + + + +
      returns:A 2D volume geometry of size \(M \times N\), windowed as \(minx \leq x \leq maxx\) and \(miny \leq y \leq maxy\).
      +
      +
      create_vol_geom((M, N, Z)):
      +
      +++ + + + +
      returns:A 3D volume geometry of size \(M \times N \times Z\).
      +
      +
      create_vol_geom(M, N, Z):
      +
      +++ + + + +
      returns:A 3D volume geometry of size \(M \times N \times Z\).
      +
      +
      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      Sparse matrices: the matrix module

      +

      Next topic

      +

      Additional functions: the functions module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/data2d.html b/python/docSRC/_build/html/data2d.html new file mode 100644 index 0000000..6b01d41 --- /dev/null +++ b/python/docSRC/_build/html/data2d.html @@ -0,0 +1,277 @@ + + + + + + + + 2D data objects: the data2d module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      2D data objects: the data2d module

      +
      +
      +astra.data2d.change_geometry(i, geom)[source]
      +

      Change the geometry of a 2D object.

      + +++ + + + +
      Parameters:
        +
      • i (int) – ID of object.
      • +
      • geom (dict) – new geometry.
      • +
      +
      +
      + +
      +
      +astra.data2d.clear()[source]
      +

      Clear all 2D data objects.

      +
      + +
      +
      +astra.data2d.create(datatype, geometry, data=None)[source]
      +

      Create a 2D object.

      + +++ + + + + + +
      Parameters:
        +
      • datatype (string) – Data object type, ‘-vol’ or ‘-sino’.
      • +
      • geometry (dict) – Volume or projection geometry.
      • +
      • data (float or numpy.ndarray) – Data to fill the constructed object with, either a scalar or array.
      • +
      +
      Returns:

      int – the ID of the constructed object.

      +
      +
      + +
      +
      +astra.data2d.delete(ids)[source]
      +

      Delete a 2D object.

      + +++ + + + +
      Parameters:ids (int or list) – ID or list of ID’s to delete.
      +
      + +
      +
      +astra.data2d.get(i)[source]
      +

      Get a 2D object.

      + +++ + + + + + +
      Parameters:i (int) – ID of object to get.
      Returns:numpy.ndarray – The object data.
      +
      + +
      +
      +astra.data2d.get_geometry(i)[source]
      +

      Get the geometry of a 2D object.

      + +++ + + + + + +
      Parameters:i (int) – ID of object.
      Returns:dict – The geometry of object with ID i.
      +
      + +
      +
      +astra.data2d.get_shared(i)[source]
      +

      Get a 2D object with memory shared between the ASTRA toolbox and numpy array.

      + +++ + + + + + +
      Parameters:i (int) – ID of object to get.
      Returns:numpy.ndarray – The object data.
      +
      + +
      +
      +astra.data2d.get_single(i)[source]
      +

      Get a 2D object in single precision.

      + +++ + + + + + +
      Parameters:i (int) – ID of object to get.
      Returns:numpy.ndarray – The object data.
      +
      + +
      +
      +astra.data2d.info()[source]
      +

      Print info on 2D objects in memory.

      +
      + +
      +
      +astra.data2d.store(i, data)[source]
      +

      Fill existing 2D object with data.

      + +++ + + + +
      Parameters:
        +
      • i (int) – ID of object to fill.
      • +
      • data (float or numpy.ndarray) – Data to fill the object with, either a scalar or array.
      • +
      +
      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      Welcome to PyASTRAToolbox’s documentation!

      +

      Next topic

      +

      3D data objects: the data3d module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/data3d.html b/python/docSRC/_build/html/data3d.html new file mode 100644 index 0000000..926bd6e --- /dev/null +++ b/python/docSRC/_build/html/data3d.html @@ -0,0 +1,259 @@ + + + + + + + + 3D data objects: the data3d module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      3D data objects: the data3d module

      +
      +
      +astra.data3d.clear()[source]
      +

      Clear all 3D data objects.

      +
      + +
      +
      +astra.data3d.create(datatype, geometry, data=None)[source]
      +

      Create a 3D object.

      + +++ + + + + + +
      Parameters:
        +
      • datatype (string) – Data object type, ‘-vol’ or ‘-sino’.
      • +
      • geometry (dict) – Volume or projection geometry.
      • +
      • data (float or numpy.ndarray) – Data to fill the constructed object with, either a scalar or array.
      • +
      +
      Returns:

      int – the ID of the constructed object.

      +
      +
      + +
      +
      +astra.data3d.delete(ids)[source]
      +

      Delete a 2D object.

      + +++ + + + +
      Parameters:ids (int or list) – ID or list of ID’s to delete.
      +
      + +
      +
      +astra.data3d.dimensions(i)[source]
      +

      Get dimensions of a 3D object.

      + +++ + + + + + +
      Parameters:i (int) – ID of object.
      Returns:tuple – dimensions of object with ID i.
      +
      + +
      +
      +astra.data3d.get(i)[source]
      +

      Get a 3D object.

      + +++ + + + + + +
      Parameters:i (int) – ID of object to get.
      Returns:numpy.ndarray – The object data.
      +
      + +
      +
      +astra.data3d.get_shared(i)[source]
      +

      Get a 3D object with memory shared between the ASTRA toolbox and numpy array.

      + +++ + + + + + +
      Parameters:i (int) – ID of object to get.
      Returns:numpy.ndarray – The object data.
      +
      + +
      +
      +astra.data3d.get_single(i)[source]
      +

      Get a 3D object in single precision.

      + +++ + + + + + +
      Parameters:i (int) – ID of object to get.
      Returns:numpy.ndarray – The object data.
      +
      + +
      +
      +astra.data3d.info()[source]
      +

      Print info on 3D objects in memory.

      +
      + +
      +
      +astra.data3d.store(i, data)[source]
      +

      Fill existing 3D object with data.

      + +++ + + + +
      Parameters:
        +
      • i (int) – ID of object to fill.
      • +
      • data (float or numpy.ndarray) – Data to fill the object with, either a scalar or array.
      • +
      +
      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      2D data objects: the data2d module

      +

      Next topic

      +

      Projector object: the projector module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/functions.html b/python/docSRC/_build/html/functions.html new file mode 100644 index 0000000..7ec397e --- /dev/null +++ b/python/docSRC/_build/html/functions.html @@ -0,0 +1,236 @@ + + + + + + + + Additional functions: the functions module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Additional functions: the functions module

      +

      Additional functions for PyAstraToolbox.

      +
      +
      +astra.functions.add_noise_to_sino(sinogram_in, I0, seed=None)[source]
      +

      Adds Poisson noise to a sinogram.

      + +++ + + + + + +
      Parameters:
        +
      • sinogram_in (numpy.ndarray) – Sinogram to add noise to.
      • +
      • I0 (float) – Background intensity. Lower values lead to higher noise.
      • +
      +
      Returns:

      numpy.ndarray – the sinogram with added noise.

      +
      +
      + +
      +
      +astra.functions.clear()[source]
      +

      Clears all used memory of the ASTRA Toolbox.

      +
      +

      Note

      +

      This is irreversible.

      +
      +
      + +
      +
      +astra.functions.data_op(op, data, scalar, gpu_core, mask=None)[source]
      +

      Perform data operation on data.

      + +++ + + + +
      Parameters:
        +
      • op – Operation to perform.
      • +
      • data – Data to perform operation on.
      • +
      • scalar – Scalar argument to data operation.
      • +
      • gpu_core – GPU core to perform operation on.
      • +
      • mask – Optional mask.
      • +
      +
      +
      + +
      +
      +astra.functions.geom_2vec(proj_geom)[source]
      +

      Returns a vector-based projection geometry from a basic projection geometry.

      + +++ + + + +
      Parameters:proj_geom (dict) – Projection geometry to convert
      +
      + +
      +
      +astra.functions.geom_size(geom, dim=None)[source]
      +

      Returns the size of a volume or sinogram, based on the projection or volume geometry.

      + +++ + + + +
      Parameters:
        +
      • geom – Geometry to calculate size from
      • +
      • dim (int) – Optional axis index to return
      • +
      +
      +
      + +
      +
      +astra.functions.move_vol_geom(geom, pos, is_relative=False)[source]
      +

      Moves center of volume geometry to new position.

      + +++ + + + + + +
      Parameters:
        +
      • geom (dict) – Input volume geometry
      • +
      • pos (tuple) – Tuple (x,y[,z]) for new position, with the center of the image at (0,0[,0])
      • +
      • is_relative (bool) – Whether new position is relative to the old position
      • +
      +
      Returns:

      dict – Volume geometry with the new center

      +
      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      Creation of objects: the creators module

      +

      Next topic

      +

      Helper class: the ASTRAProjector module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/genindex.html b/python/docSRC/_build/html/genindex.html new file mode 100644 index 0000000..3099bfa --- /dev/null +++ b/python/docSRC/_build/html/genindex.html @@ -0,0 +1,575 @@ + + + + + + + + + Index — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + +
      +
      +
      +
      + + +

      Index

      + +
      + A + | B + | C + | D + | F + | G + | I + | M + | P + | R + | S + | U + | V + | W + +
      +

      A

      + + + +
      + +
      add_noise_to_sino() (in module astra.functions) +
      + + +
      algorithm() (in module astra.matlab) +
      + + +
      astra() (in module astra.matlab) +
      + + +
      astra.algorithm (module) +
      + + +
      astra.astra (module) +
      + + +
      astra.ASTRAProjector (module) +
      + + +
      astra.creators (module) +
      + + +
      astra.data2d (module) +
      + +
      + +
      astra.data3d (module) +
      + + +
      astra.functions (module) +
      + + +
      astra.matlab (module) +
      + + +
      astra.matrix (module) +
      + + +
      astra.projector (module) +
      + + +
      astra_dict() (in module astra.creators) +
      + + +
      ASTRAProjector2D (class in astra.ASTRAProjector) +
      + + +
      ASTRAProjector2DTranspose (class in astra.ASTRAProjector) +
      + +
      + +

      B

      + + +
      + +
      backProject() (astra.ASTRAProjector.ASTRAProjector2D method) +
      + +
      + +

      C

      + + + +
      + +
      change_geometry() (in module astra.data2d) +
      + + +
      clear() (in module astra.algorithm) +
      + +
      + +
      (in module astra.data2d) +
      + + +
      (in module astra.data3d) +
      + + +
      (in module astra.functions) +
      + + +
      (in module astra.matrix) +
      + + +
      (in module astra.projector) +
      + +
      + +
      create() (in module astra.algorithm) +
      + +
      + +
      (in module astra.data2d) +
      + + +
      (in module astra.data3d) +
      + + +
      (in module astra.matrix) +
      + + +
      (in module astra.projector) +
      + +
      + +
      create_backprojection() (in module astra.creators) +
      + + +
      create_backprojection3d_gpu() (in module astra.creators) +
      + + +
      create_proj_geom() (in module astra.creators) +
      + +
      + +
      create_projector() (in module astra.creators) +
      + + +
      create_reconstruction() (in module astra.creators) +
      + + +
      create_sino() (in module astra.creators) +
      + + +
      create_sino3d_gpu() (in module astra.creators) +
      + + +
      create_vol_geom() (in module astra.creators) +
      + + +
      credits() (in module astra.astra) +
      + +
      + +

      D

      + + + +
      + +
      data2d() (in module astra.matlab) +
      + + +
      data3d() (in module astra.matlab) +
      + + +
      data_op() (in module astra.functions) +
      + +
      + +
      delete() (in module astra.algorithm) +
      + +
      + +
      (in module astra.data2d) +
      + + +
      (in module astra.data3d) +
      + + +
      (in module astra.matrix) +
      + + +
      (in module astra.projector) +
      + +
      + +
      dimensions() (in module astra.data3d) +
      + +
      + +

      F

      + + +
      + +
      forwardProject() (astra.ASTRAProjector.ASTRAProjector2D method) +
      + +
      + +

      G

      + + + +
      + +
      geom_2vec() (in module astra.functions) +
      + + +
      geom_size() (in module astra.functions) +
      + + +
      get() (in module astra.data2d) +
      + +
      + +
      (in module astra.data3d) +
      + + +
      (in module astra.matrix) +
      + +
      + +
      get_geometry() (in module astra.data2d) +
      + +
      + +
      get_res_norm() (in module astra.algorithm) +
      + + +
      get_shared() (in module astra.data2d) +
      + +
      + +
      (in module astra.data3d) +
      + +
      + +
      get_single() (in module astra.data2d) +
      + +
      + +
      (in module astra.data3d) +
      + +
      + +
      get_size() (in module astra.matrix) +
      + +
      + +

      I

      + + +
      + +
      info() (in module astra.algorithm) +
      + +
      + +
      (in module astra.data2d) +
      + + +
      (in module astra.data3d) +
      + + +
      (in module astra.matrix) +
      + + +
      (in module astra.projector) +
      + +
      +
      + +

      M

      + + + +
      + +
      matrix() (in module astra.matlab) +
      + +
      + +
      (in module astra.projector) +
      + +
      +
      + +
      move_vol_geom() (in module astra.functions) +
      + +
      + +

      P

      + + + +
      + +
      projection_geometry() (in module astra.projector) +
      + +
      + +
      projector() (in module astra.matlab) +
      + +
      + +

      R

      + + + +
      + +
      reconstruct() (astra.ASTRAProjector.ASTRAProjector2D method) +
      + +
      + +
      run() (in module astra.algorithm) +
      + +
      + +

      S

      + + + +
      + +
      set_gpu_index() (in module astra.astra) +
      + + +
      splat() (in module astra.projector) +
      + +
      + +
      store() (in module astra.data2d) +
      + +
      + +
      (in module astra.data3d) +
      + + +
      (in module astra.matrix) +
      + +
      +
      + +

      U

      + + +
      + +
      use_cuda() (in module astra.astra) +
      + +
      + +

      V

      + + + +
      + +
      version() (in module astra.astra) +
      + +
      + +
      volume_geometry() (in module astra.projector) +
      + +
      + +

      W

      + + + +
      + +
      weights_projection() (in module astra.projector) +
      + +
      + +
      weights_single_ray() (in module astra.projector) +
      + +
      + + + +
      +
      +
      +
      +
      + + + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/index.html b/python/docSRC/_build/html/index.html new file mode 100644 index 0000000..817e07f --- /dev/null +++ b/python/docSRC/_build/html/index.html @@ -0,0 +1,148 @@ + + + + + + + + Welcome to PyASTRAToolbox’s documentation! — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/matlab.html b/python/docSRC/_build/html/matlab.html new file mode 100644 index 0000000..8b4bf31 --- /dev/null +++ b/python/docSRC/_build/html/matlab.html @@ -0,0 +1,184 @@ + + + + + + + + MATLAB compatibility interface: the matlab module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      MATLAB compatibility interface: the matlab module

      +

      This module implements a MATLAB-like interface to the ASTRA Toolbox.

      +

      Note that all functions are called with a string as the first +argument, specifying the operation to perform. This un-pythonic way +is used to make transitioning from MATLAB code to Python code easier, as +the MATLAB interface uses the same type of method calling.

      +

      After an initial import astra, these functions can be accessed in the +astra.m module.

      +
      +
      +astra.matlab.algorithm(command, *args)[source]
      +

      MATLAB-like interface to the astra.algorithm module

      +

      For example:

      +

      astra.m.algorithm('run',i,1000) – Run an algorithm with 1000 iterations.

      +
      + +
      +
      +astra.matlab.astra(command, *args)[source]
      +

      MATLAB-like interface to the astra.astra module

      +

      For example:

      +

      astra.m.astra('use_cuda') – Check if CUDA is enabled.

      +
      + +
      +
      +astra.matlab.data2d(command, *args)[source]
      +

      MATLAB-like interface to the astra.data2d module

      +

      For example:

      +

      astra.m.data2d('create',type,geometry,data) – Create a 2D object.

      +
      + +
      +
      +astra.matlab.data3d(command, *args)[source]
      +

      MATLAB-like interface to the astra.data3d module

      +

      For example:

      +

      astra.m.data3d('get',i) – Get 3D object data.

      +
      + +
      +
      +astra.matlab.matrix(command, *args)[source]
      +

      MATLAB-like interface to the astra.matrix module

      +

      For example:

      +

      astra.m.matrix('delete',i) – Delete a matrix.

      +
      + +
      +
      +astra.matlab.projector(command, *args)[source]
      +

      MATLAB-like interface to the astra.projector module

      +

      For example:

      +

      astra.m.projector('volume_geometry',i) – Get volume geometry.

      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      Helper class: the ASTRAProjector module

      +

      Next topic

      +

      Additional ASTRA methods: the astra module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/matrix.html b/python/docSRC/_build/html/matrix.html new file mode 100644 index 0000000..1df4c30 --- /dev/null +++ b/python/docSRC/_build/html/matrix.html @@ -0,0 +1,221 @@ + + + + + + + + Sparse matrices: the matrix module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Sparse matrices: the matrix module

      +
      +
      +astra.matrix.clear()[source]
      +

      Clear all matrix objects.

      +
      + +
      +
      +astra.matrix.create(data)[source]
      +

      Create matrix object with data.

      + +++ + + + + + +
      Parameters:data (scipy.sparse.csr_matrix) – Data to fill the created object with.
      Returns:int – the ID of the constructed object.
      +
      + +
      +
      +astra.matrix.delete(ids)[source]
      +

      Delete a matrix object.

      + +++ + + + +
      Parameters:ids (int or list) – ID or list of ID’s to delete.
      +
      + +
      +
      +astra.matrix.get(i)[source]
      +

      Get a matrix object.

      + +++ + + + + + +
      Parameters:i (int) – ID of object to get.
      Returns:scipy.sparse.csr_matrix – The object data.
      +
      + +
      +
      +astra.matrix.get_size(i)[source]
      +

      Get matrix dimensions.

      + +++ + + + + + +
      Parameters:i (int) – ID of object.
      Returns:tuple – matrix dimensions.
      +
      + +
      +
      +astra.matrix.info()[source]
      +

      Print info on matrix objects in memory.

      +
      + +
      +
      +astra.matrix.store(i, data)[source]
      +

      Fill existing matrix object with data.

      + +++ + + + +
      Parameters:
        +
      • i (int) – ID of object to fill.
      • +
      • data (scipy.sparse.csr_matrix) – Data to fill the object with.
      • +
      +
      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      Algorithms: the algorithm module

      +

      Next topic

      +

      Creation of objects: the creators module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/objects.inv b/python/docSRC/_build/html/objects.inv new file mode 100644 index 0000000..54bab0b Binary files /dev/null and b/python/docSRC/_build/html/objects.inv differ diff --git a/python/docSRC/_build/html/projector.html b/python/docSRC/_build/html/projector.html new file mode 100644 index 0000000..9df5d0b --- /dev/null +++ b/python/docSRC/_build/html/projector.html @@ -0,0 +1,234 @@ + + + + + + + + Projector object: the projector module — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Projector object: the projector module

      +
      +
      +astra.projector.clear()[source]
      +

      Clear all projector objects.

      +
      + +
      +
      +astra.projector.create(config)[source]
      +

      Create projector object.

      + +++ + + + + + +
      Parameters:config (dict) – Projector options.
      Returns:int – the ID of the constructed object.
      +
      + +
      +
      +astra.projector.delete(ids)[source]
      +

      Delete a projector object.

      + +++ + + + +
      Parameters:ids (int or list) – ID or list of ID’s to delete.
      +
      + +
      +
      +astra.projector.info()[source]
      +

      Print info on projector objects in memory.

      +
      + +
      +
      +astra.projector.matrix(i)[source]
      +

      Get sparse matrix of a projector.

      + +++ + + + + + +
      Parameters:i (int) – ID of projector.
      Returns:int – ID of sparse matrix.
      +
      + +
      +
      +astra.projector.projection_geometry(i)[source]
      +

      Get projection geometry of a projector.

      + +++ + + + + + +
      Parameters:i (int) – ID of projector.
      Returns:dict – projection geometry
      +
      + +
      +
      +astra.projector.splat(i, row, col)[source]
      +
      + +
      +
      +astra.projector.volume_geometry(i)[source]
      +

      Get volume geometry of a projector.

      + +++ + + + + + +
      Parameters:i (int) – ID of projector.
      Returns:dict – volume geometry
      +
      + +
      +
      +astra.projector.weights_projection(i, projection_index)[source]
      +
      + +
      +
      +astra.projector.weights_single_ray(i, projection_index, detector_index)[source]
      +
      + +
      + + +
      +
      +
      +
      +
      +

      Previous topic

      +

      3D data objects: the data3d module

      +

      Next topic

      +

      Algorithms: the algorithm module

      +

      This Page

      + + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/py-modindex.html b/python/docSRC/_build/html/py-modindex.html new file mode 100644 index 0000000..b0e4888 --- /dev/null +++ b/python/docSRC/_build/html/py-modindex.html @@ -0,0 +1,172 @@ + + + + + + + + Python Module Index — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + + +
      +
      +
      +
      + + +

      Python Module Index

      + +
      + a +
      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
       
      + a
      + astra +
          + astra.algorithm +
          + astra.astra +
          + astra.ASTRAProjector +
          + astra.creators +
          + astra.data2d +
          + astra.data3d +
          + astra.functions +
          + astra.matlab +
          + astra.matrix +
          + astra.projector +
      + + +
      +
      +
      +
      +
      + + +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/search.html b/python/docSRC/_build/html/search.html new file mode 100644 index 0000000..ac8ee73 --- /dev/null +++ b/python/docSRC/_build/html/search.html @@ -0,0 +1,118 @@ + + + + + + + + Search — PyASTRAToolbox 1.6 documentation + + + + + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +

      Search

      +
      + +

      + Please activate JavaScript to enable the search + functionality. +

      +
      +

      + From here you can search these documents. Enter your search + words into the box below and click "search". Note that the search + function will automatically search for all of the words. Pages + containing fewer words won't appear in the result list. +

      +
      + + + +
      + +
      + +
      + +
      +
      +
      +
      +
      +
      +
      +
      +
      + + + + + + + \ No newline at end of file diff --git a/python/docSRC/_build/html/searchindex.js b/python/docSRC/_build/html/searchindex.js new file mode 100644 index 0000000..cc69a68 --- /dev/null +++ b/python/docSRC/_build/html/searchindex.js @@ -0,0 +1 @@ +Search.setIndex({objtypes:{"0":"py:module","1":"py:function","2":"py:method","3":"py:class"},objnames:{"0":["py","module","Python module"],"1":["py","function","Python function"],"2":["py","method","Python method"],"3":["py","class","Python 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