#----------------------------------------------------------------------- #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 . # #----------------------------------------------------------------------- # distutils: language = c++ # distutils: libraries = astra import numpy as np import six from libcpp.string cimport string from libcpp.list cimport list from libcpp.vector cimport vector from cython.operator cimport dereference as deref from cpython.version cimport PY_MAJOR_VERSION cimport PyXMLDocument from .PyXMLDocument cimport XMLDocument from .PyXMLDocument cimport XMLNode from .PyIncludes cimport * cdef XMLDocument * dict2XML(string rootname, dc): cdef XMLDocument * doc = PyXMLDocument.createDocument(rootname) cdef XMLNode * node = doc.getRootNode() try: readDict(node, dc) except: six.print_('Error reading XML') del doc doc = NULL finally: del node return doc def convert_item(item): if isinstance(item, six.string_types): return item.encode('ascii') if type(item) is not dict: return item out_dict = {} for k in item: out_dict[convert_item(k)] = convert_item(item[k]) return out_dict def wrap_to_bytes(value): if isinstance(value, six.binary_type): return value s = str(value) if PY_MAJOR_VERSION == 3: s = s.encode('ascii') return s def wrap_from_bytes(value): s = value if PY_MAJOR_VERSION == 3: s = s.decode('ascii') return s cdef void readDict(XMLNode * root, _dc): cdef XMLNode * listbase cdef XMLNode * itm cdef int i cdef int j dc = convert_item(_dc) for item in dc: val = dc[item] if isinstance(val, np.ndarray): if val.size == 0: break listbase = root.addChildNode(item) listbase.addAttribute(< string > six.b('listsize'), < float32 > val.size) index = 0 if val.ndim == 2: for i in range(val.shape[0]): for j in range(val.shape[1]): itm = listbase.addChildNode(six.b('ListItem')) itm.addAttribute(< string > six.b('index'), < float32 > index) itm.addAttribute( < string > six.b('value'), < float32 > val[i, j]) index += 1 del itm elif val.ndim == 1: for i in range(val.shape[0]): itm = listbase.addChildNode(six.b('ListItem')) itm.addAttribute(< string > six.b('index'), < float32 > index) itm.addAttribute(< string > six.b('value'), < float32 > val[i]) index += 1 del itm else: raise Exception("Only 1 or 2 dimensions are allowed") del listbase elif isinstance(val, dict): if item == six.b('option') or item == six.b('options') or item == six.b('Option') or item == six.b('Options'): readOptions(root, val) else: itm = root.addChildNode(item) readDict(itm, val) del itm else: if item == six.b('type'): root.addAttribute(< string > six.b('type'), wrap_to_bytes(val)) else: itm = root.addChildNode(item, wrap_to_bytes(val)) del itm cdef void readOptions(XMLNode * node, dc): cdef XMLNode * listbase cdef XMLNode * itm cdef int i cdef int j for item in dc: val = dc[item] if node.hasOption(item): raise Exception('Duplicate Option: %s' % item) if isinstance(val, np.ndarray): if val.size == 0: break listbase = node.addChildNode(six.b('Option')) listbase.addAttribute(< string > six.b('key'), < string > item) listbase.addAttribute(< string > six.b('listsize'), < float32 > val.size) index = 0 if val.ndim == 2: for i in range(val.shape[0]): for j in range(val.shape[1]): itm = listbase.addChildNode(six.b('ListItem')) itm.addAttribute(< string > six.b('index'), < float32 > index) itm.addAttribute( < string > six.b('value'), < float32 > val[i, j]) index += 1 del itm elif val.ndim == 1: for i in range(val.shape[0]): itm = listbase.addChildNode(six.b('ListItem')) itm.addAttribute(< string > six.b('index'), < float32 > index) itm.addAttribute(< string > six.b('value'), < float32 > val[i]) index += 1 del itm else: raise Exception("Only 1 or 2 dimensions are allowed") del listbase else: node.addOption(item, wrap_to_bytes(val)) cdef vectorToNumpy(vector[float32] inp): cdef int i cdef int sz = inp.size() ret = np.empty(sz) for i in range(sz): ret[i] = inp[i] return ret cdef XMLNode2dict(XMLNode * node): cdef XMLNode * subnode cdef list[XMLNode * ] nodes cdef list[XMLNode * ].iterator it dct = {} if node.hasAttribute(six.b('type')): dct['type'] = node.getAttribute(six.b('type')) nodes = node.getNodes() it = nodes.begin() while it != nodes.end(): subnode = deref(it) if subnode.hasAttribute(six.b('listsize')): dct[subnode.getName( )] = vectorToNumpy(subnode.getContentNumericalArray()) else: dct[subnode.getName()] = subnode.getContent() del subnode return dct cdef XML2dict(XMLDocument * xml): cdef XMLNode * node = xml.getRootNode() dct = XMLNode2dict(node) del node; return dct; cdef createProjectionGeometryStruct(CProjectionGeometry2D * geom): cdef int i cdef CFanFlatVecProjectionGeometry2D * fanvecGeom # cdef SFanProjection* p dct = {} dct['DetectorCount'] = geom.getDetectorCount() if not geom.isOfType(< string > six.b('fanflat_vec')): dct['DetectorWidth'] = geom.getDetectorWidth() angles = np.empty(geom.getProjectionAngleCount()) for i in range(geom.getProjectionAngleCount()): angles[i] = geom.getProjectionAngle(i) dct['ProjectionAngles'] = angles else: raise Exception("Not yet implemented") # fanvecGeom = geom # vecs = np.empty(fanvecGeom.getProjectionAngleCount()*6) # iDetCount = pVecGeom.getDetectorCount() # for i in range(fanvecGeom.getProjectionAngleCount()): # p = &fanvecGeom.getProjectionVectors()[i]; # out[6*i + 0] = p.fSrcX # out[6*i + 1] = p.fSrcY # out[6*i + 2] = p.fDetSX + 0.5f*iDetCount*p.fDetUX # out[6*i + 3] = p.fDetSY + 0.5f*iDetCount*p.fDetUY # out[6*i + 4] = p.fDetUX # out[6*i + 5] = p.fDetUY # dct['Vectors'] = vecs if (geom.isOfType(< string > six.b('parallel'))): dct["type"] = "parallel" if (geom.isOfType(< string > six.b('parallel_vec'))): dct["type"] = "parallel_vec" elif (geom.isOfType(< string > six.b('fanflat'))): raise Exception("Not yet implemented") # astra::CFanFlatProjectionGeometry2D* pFanFlatGeom = dynamic_cast(_pProjGeom) # mGeometryInfo["DistanceOriginSource"] = mxCreateDoubleScalar(pFanFlatGeom->getOriginSourceDistance()) # mGeometryInfo["DistanceOriginDetector"] = # mxCreateDoubleScalar(pFanFlatGeom->getOriginDetectorDistance()) dct["type"] = "fanflat" elif (geom.isOfType(< string > six.b('sparse_matrix'))): raise Exception("Not yet implemented") # astra::CSparseMatrixProjectionGeometry2D* pSparseMatrixGeom = # dynamic_cast(_pProjGeom); dct["type"] = "sparse_matrix" # dct["MatrixID"] = # mxCreateDoubleScalar(CMatrixManager::getSingleton().getIndex(pSparseMatrixGeom->getMatrix())) elif(geom.isOfType(< string > six.b('fanflat_vec'))): dct["type"] = "fanflat_vec" return dct cdef createVolumeGeometryStruct(CVolumeGeometry2D * geom): mGeometryInfo = {} mGeometryInfo["GridColCount"] = geom.getGridColCount() mGeometryInfo["GridRowCount"] = geom.getGridRowCount() mGeometryOptions = {} mGeometryOptions["WindowMinX"] = geom.getWindowMinX() mGeometryOptions["WindowMaxX"] = geom.getWindowMaxX() mGeometryOptions["WindowMinY"] = geom.getWindowMinY() mGeometryOptions["WindowMaxY"] = geom.getWindowMaxY() mGeometryInfo["option"] = mGeometryOptions return mGeometryInfo