|
a |
|
b/src/itkPyVnl.hxx |
|
|
1 |
/*========================================================================= |
|
|
2 |
* |
|
|
3 |
* Copyright Insight Software Consortium |
|
|
4 |
* |
|
|
5 |
* Licensed under the Apache License, Version 2.0 (the "License"); |
|
|
6 |
* you may not use this file except in compliance with the License. |
|
|
7 |
* You may obtain a copy of the License at |
|
|
8 |
* |
|
|
9 |
* http://www.apache.org/licenses/LICENSE-2.0.txt |
|
|
10 |
* |
|
|
11 |
* Unless required by applicable law or agreed to in writing, software |
|
|
12 |
* distributed under the License is distributed on an "AS IS" BASIS, |
|
|
13 |
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
|
|
14 |
* See the License for the specific language governing permissions and |
|
|
15 |
* limitations under the License. |
|
|
16 |
* |
|
|
17 |
*=========================================================================*/ |
|
|
18 |
#ifndef itkPyVnl_hxx |
|
|
19 |
#define itkPyVnl_hxx |
|
|
20 |
|
|
|
21 |
#include "itkPyVnl.h" |
|
|
22 |
#include <stdexcept> |
|
|
23 |
|
|
|
24 |
namespace itk |
|
|
25 |
{ |
|
|
26 |
|
|
|
27 |
template<class TElement> |
|
|
28 |
PyObject * |
|
|
29 |
PyVnl<TElement> |
|
|
30 |
::_GetArrayViewFromVnlVector( VectorType * vector) |
|
|
31 |
{ |
|
|
32 |
PyObject * memoryView = NULL; |
|
|
33 |
Py_buffer pyBuffer; |
|
|
34 |
memset(&pyBuffer, 0, sizeof(Py_buffer)); |
|
|
35 |
|
|
|
36 |
size_t elementSize = sizeof(DataType); |
|
|
37 |
int res = 0; |
|
|
38 |
|
|
|
39 |
if( !vector ) |
|
|
40 |
{ |
|
|
41 |
throw std::runtime_error("Input vector is null"); |
|
|
42 |
} |
|
|
43 |
|
|
|
44 |
DataType *buffer = vector->data_block(); |
|
|
45 |
|
|
|
46 |
void * vectorBuffer = (void *)( buffer ); |
|
|
47 |
|
|
|
48 |
// Computing the length of data |
|
|
49 |
Py_ssize_t len = vector->size(); |
|
|
50 |
len *= elementSize; |
|
|
51 |
|
|
|
52 |
res = PyBuffer_FillInfo(&pyBuffer, NULL, (void*)vectorBuffer, len, 0, PyBUF_CONTIG); |
|
|
53 |
memoryView = PyMemoryView_FromBuffer(&pyBuffer); |
|
|
54 |
|
|
|
55 |
PyBuffer_Release(&pyBuffer); |
|
|
56 |
|
|
|
57 |
return memoryView; |
|
|
58 |
} |
|
|
59 |
|
|
|
60 |
template<class TElement> |
|
|
61 |
const typename PyVnl<TElement>::VectorType |
|
|
62 |
PyVnl<TElement> |
|
|
63 |
::_GetVnlVectorViewFromArray( PyObject *arr, PyObject *shape) |
|
|
64 |
{ |
|
|
65 |
PyObject * obj = NULL; |
|
|
66 |
PyObject * shapeseq = NULL; |
|
|
67 |
PyObject * item = NULL; |
|
|
68 |
|
|
|
69 |
Py_ssize_t bufferLength; |
|
|
70 |
Py_buffer pyBuffer; |
|
|
71 |
memset(&pyBuffer, 0, sizeof(Py_buffer)); |
|
|
72 |
|
|
|
73 |
size_t numberOfElements = 1; |
|
|
74 |
|
|
|
75 |
const void * buffer; |
|
|
76 |
|
|
|
77 |
unsigned int dimension = 0; |
|
|
78 |
|
|
|
79 |
|
|
|
80 |
size_t elementSize = sizeof(DataType); |
|
|
81 |
size_t len = 1; |
|
|
82 |
|
|
|
83 |
if(PyObject_GetBuffer(arr, &pyBuffer, PyBUF_CONTIG) == -1) |
|
|
84 |
{ |
|
|
85 |
PyErr_SetString( PyExc_RuntimeError, "Cannot get an instance of NumPy array." ); |
|
|
86 |
PyBuffer_Release(&pyBuffer); |
|
|
87 |
return VectorType(); |
|
|
88 |
} |
|
|
89 |
else |
|
|
90 |
{ |
|
|
91 |
bufferLength = pyBuffer.len; |
|
|
92 |
buffer = pyBuffer.buf; |
|
|
93 |
} |
|
|
94 |
|
|
|
95 |
obj = shape; |
|
|
96 |
shapeseq = PySequence_Fast(obj, "expected sequence"); |
|
|
97 |
dimension = PySequence_Size(obj); |
|
|
98 |
|
|
|
99 |
item = PySequence_Fast_GET_ITEM(shapeseq,0);// Only one dimension |
|
|
100 |
numberOfElements = (size_t)PyLong_AsLong(item); |
|
|
101 |
|
|
|
102 |
len = numberOfElements*elementSize; |
|
|
103 |
if ( bufferLength != len ) |
|
|
104 |
{ |
|
|
105 |
PyErr_SetString( PyExc_RuntimeError, "Size mismatch of vector and Buffer." ); |
|
|
106 |
PyBuffer_Release(&pyBuffer); |
|
|
107 |
return VectorType(); |
|
|
108 |
} |
|
|
109 |
DataType * data = (DataType *)buffer; |
|
|
110 |
VectorType output(data, numberOfElements); |
|
|
111 |
PyBuffer_Release(&pyBuffer); |
|
|
112 |
|
|
|
113 |
return output; |
|
|
114 |
} |
|
|
115 |
|
|
|
116 |
template<class TElement> |
|
|
117 |
PyObject * |
|
|
118 |
PyVnl<TElement> |
|
|
119 |
::_GetArrayViewFromVnlMatrix( MatrixType * matrix) |
|
|
120 |
{ |
|
|
121 |
PyObject * memoryView = NULL; |
|
|
122 |
Py_buffer pyBuffer; |
|
|
123 |
memset(&pyBuffer, 0, sizeof(Py_buffer)); |
|
|
124 |
|
|
|
125 |
size_t elementSize = sizeof(DataType); |
|
|
126 |
int res = 0; |
|
|
127 |
|
|
|
128 |
if( !matrix ) |
|
|
129 |
{ |
|
|
130 |
throw std::runtime_error("Input matrix is null"); |
|
|
131 |
} |
|
|
132 |
|
|
|
133 |
DataType *buffer = matrix->data_block(); |
|
|
134 |
//ComponentType *buffer = const_cast < ComponentType *> (reinterpret_cast< const ComponentType* > ( image->GetBufferPointer() ) ); |
|
|
135 |
void * matrixBuffer = (void *)( buffer ); |
|
|
136 |
|
|
|
137 |
// Computing the length of data |
|
|
138 |
Py_ssize_t len = matrix->size(); |
|
|
139 |
len *= elementSize; |
|
|
140 |
|
|
|
141 |
res = PyBuffer_FillInfo(&pyBuffer, NULL, (void*)matrixBuffer, len, 0, PyBUF_CONTIG); |
|
|
142 |
memoryView = PyMemoryView_FromBuffer(&pyBuffer); |
|
|
143 |
|
|
|
144 |
PyBuffer_Release(&pyBuffer); |
|
|
145 |
|
|
|
146 |
return memoryView; |
|
|
147 |
} |
|
|
148 |
|
|
|
149 |
template<class TElement> |
|
|
150 |
const typename PyVnl<TElement>::MatrixType |
|
|
151 |
PyVnl<TElement> |
|
|
152 |
::_GetVnlMatrixViewFromArray( PyObject *arr, PyObject *shape) |
|
|
153 |
{ |
|
|
154 |
PyObject * obj = NULL; |
|
|
155 |
PyObject * shapeseq = NULL; |
|
|
156 |
PyObject * item = NULL; |
|
|
157 |
|
|
|
158 |
Py_ssize_t bufferLength; |
|
|
159 |
Py_buffer pyBuffer; |
|
|
160 |
memset(&pyBuffer, 0, sizeof(Py_buffer)); |
|
|
161 |
|
|
|
162 |
size_t numberOfElements = 1; |
|
|
163 |
|
|
|
164 |
const void * buffer; |
|
|
165 |
|
|
|
166 |
unsigned int dimension = 0; |
|
|
167 |
|
|
|
168 |
size_t elementSize = sizeof(DataType); |
|
|
169 |
size_t len = 1; |
|
|
170 |
unsigned int size[2]; |
|
|
171 |
|
|
|
172 |
if(PyObject_GetBuffer(arr, &pyBuffer, PyBUF_CONTIG) == -1) |
|
|
173 |
{ |
|
|
174 |
PyErr_SetString( PyExc_RuntimeError, "Cannot get an instance of NumPy array." ); |
|
|
175 |
PyBuffer_Release(&pyBuffer); |
|
|
176 |
return MatrixType(); |
|
|
177 |
} |
|
|
178 |
else |
|
|
179 |
{ |
|
|
180 |
bufferLength = pyBuffer.len; |
|
|
181 |
buffer = pyBuffer.buf; |
|
|
182 |
} |
|
|
183 |
|
|
|
184 |
obj = shape; |
|
|
185 |
shapeseq = PySequence_Fast(obj, "expected sequence"); |
|
|
186 |
dimension = PySequence_Size(obj); |
|
|
187 |
|
|
|
188 |
for( unsigned int i = 0; i < 2; ++i ) |
|
|
189 |
{ |
|
|
190 |
item = PySequence_Fast_GET_ITEM(shapeseq,i); |
|
|
191 |
size[i] = (unsigned int)PyLong_AsLong(item); |
|
|
192 |
numberOfElements *= size[i]; |
|
|
193 |
} |
|
|
194 |
|
|
|
195 |
len = numberOfElements*elementSize; |
|
|
196 |
if ( bufferLength != len ) |
|
|
197 |
{ |
|
|
198 |
PyErr_SetString( PyExc_RuntimeError, "Size mismatch of matrix and Buffer." ); |
|
|
199 |
PyBuffer_Release(&pyBuffer); |
|
|
200 |
return MatrixType(); |
|
|
201 |
} |
|
|
202 |
|
|
|
203 |
DataType * data = (DataType *)buffer; |
|
|
204 |
MatrixType output(data, size[0], size[1]); |
|
|
205 |
PyBuffer_Release(&pyBuffer); |
|
|
206 |
|
|
|
207 |
return output; |
|
|
208 |
} |
|
|
209 |
|
|
|
210 |
|
|
|
211 |
} // namespace itk |
|
|
212 |
|
|
|
213 |
#endif |