{{ message }}
forked from matplotlib/matplotlib
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path_image_wrapper.cpp
More file actions
341 lines (283 loc) · 10.6 KB
/
Copy path_image_wrapper.cpp
File metadata and controls
341 lines (283 loc) · 10.6 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
#include "mplutils.h"
#include "_image_resample.h"
#include "numpy_cpp.h"
#include "py_converters.h"
/**********************************************************************
* Free functions
* */
const char* image_resample__doc__ =
"resample(input_array, output_array, matrix, interpolation=NEAREST, alpha=1.0, norm=False, radius=1)\n"
"--\n\n"
"Resample input_array, blending it in-place into output_array, using an\n"
"affine transformation.\n\n"
"Parameters\n"
"----------\n"
"input_array : 2-d or 3-d Numpy array of float, double or uint8\n"
" If 2-d, the image is grayscale. If 3-d, the image must be of size\n"
" 4 in the last dimension and represents RGBA data.\n\n"
"output_array : 2-d or 3-d Numpy array of float, double or uint8\n"
" The dtype and number of dimensions must match `input_array`.\n\n"
"transform : matplotlib.transforms.Transform instance\n"
" The transformation from the input array to the output\n"
" array.\n\n"
"interpolation : int, optional\n"
" The interpolation method. Must be one of the following constants\n"
" defined in this module:\n\n"
" NEAREST (default), BILINEAR, BICUBIC, SPLINE16, SPLINE36,\n"
" HANNING, HAMMING, HERMITE, KAISER, QUADRIC, CATROM, GAUSSIAN,\n"
" BESSEL, MITCHELL, SINC, LANCZOS, BLACKMAN\n\n"
"resample : bool, optional\n"
" When `True`, use a full resampling method. When `False`, only\n"
" resample when the output image is larger than the input image.\n\n"
"alpha : float, optional\n"
" The level of transparency to apply. 1.0 is completely opaque.\n"
" 0.0 is completely transparent.\n\n"
"norm : bool, optional\n"
" Whether to norm the interpolation function. Default is `False`.\n\n"
"radius: float, optional\n"
" The radius of the kernel, if method is SINC, LANCZOS or BLACKMAN.\n"
" Default is 1.\n";
static PyArrayObject *
_get_transform_mesh(PyObject *py_affine, npy_intp *dims)
{
/* TODO: Could we get away with float, rather than double, arrays here? */
/* Given a non-affine transform object, create a mesh that maps
every pixel in the output image to the input image. This is used
as a lookup table during the actual resampling. */
PyObject *py_inverse = NULL;
npy_intp out_dims[3];
out_dims[0] = dims[0] * dims[1];
out_dims[1] = 2;
py_inverse = PyObject_CallMethod(py_affine, "inverted", NULL);
if (py_inverse == NULL) {
return NULL;
}
numpy::array_view<double, 2> input_mesh(out_dims);
double *p = (double *)input_mesh.data();
for (npy_intp y = 0; y < dims[0]; ++y) {
for (npy_intp x = 0; x < dims[1]; ++x) {
*p++ = (double)x;
*p++ = (double)y;
}
}
PyObject *output_mesh = PyObject_CallMethod(
py_inverse, "transform", "O", input_mesh.pyobj_steal());
Py_DECREF(py_inverse);
if (output_mesh == NULL) {
return NULL;
}
PyArrayObject *output_mesh_array =
(PyArrayObject *)PyArray_ContiguousFromAny(
output_mesh, NPY_DOUBLE, 2, 2);
Py_DECREF(output_mesh);
if (output_mesh_array == NULL) {
return NULL;
}
return output_mesh_array;
}
template<class T>
static void
resample(PyArrayObject* input, PyArrayObject* output, resample_params_t params)
{
Py_BEGIN_ALLOW_THREADS
resample(
(T*)PyArray_DATA(input), PyArray_DIM(input, 1), PyArray_DIM(input, 0),
(T*)PyArray_DATA(output), PyArray_DIM(output, 1), PyArray_DIM(output, 0),
params);
Py_END_ALLOW_THREADS
}
static PyObject *
image_resample(PyObject *self, PyObject* args, PyObject *kwargs)
{
PyObject *py_input_array = NULL;
PyObject *py_output_array = NULL;
PyObject *py_transform = NULL;
resample_params_t params;
PyArrayObject *input_array = NULL;
PyArrayObject *output_array = NULL;
PyArrayObject *transform_mesh_array = NULL;
params.interpolation = NEAREST;
params.transform_mesh = NULL;
params.resample = false;
params.norm = false;
params.radius = 1.0;
params.alpha = 1.0;
const char *kwlist[] = {
"input_array", "output_array", "transform", "interpolation",
"resample", "alpha", "norm", "radius", NULL };
if (!PyArg_ParseTupleAndKeywords(
args, kwargs, "OOO|iO&dO&d:resample", (char **)kwlist,
&py_input_array, &py_output_array, &py_transform,
¶ms.interpolation, &convert_bool, ¶ms.resample,
¶ms.alpha, &convert_bool, ¶ms.norm, ¶ms.radius)) {
return NULL;
}
if (params.interpolation < 0 || params.interpolation >= _n_interpolation) {
PyErr_Format(PyExc_ValueError, "invalid interpolation value %d",
params.interpolation);
goto error;
}
input_array = (PyArrayObject *)PyArray_FromAny(
py_input_array, NULL, 2, 3, NPY_ARRAY_C_CONTIGUOUS, NULL);
if (input_array == NULL) {
goto error;
}
if (!PyArray_Check(py_output_array)) {
PyErr_SetString(PyExc_ValueError, "output array must be a NumPy array");
goto error;
}
output_array = (PyArrayObject *)py_output_array;
if (!PyArray_IS_C_CONTIGUOUS(output_array)) {
PyErr_SetString(PyExc_ValueError, "output array must be C-contiguous");
goto error;
}
if (PyArray_NDIM(output_array) < 2 || PyArray_NDIM(output_array) > 3) {
PyErr_SetString(PyExc_ValueError,
"output array must be 2- or 3-dimensional");
goto error;
}
if (py_transform == NULL || py_transform == Py_None) {
params.is_affine = true;
} else {
PyObject *py_is_affine;
int py_is_affine2;
py_is_affine = PyObject_GetAttrString(py_transform, "is_affine");
if (py_is_affine == NULL) {
goto error;
}
py_is_affine2 = PyObject_IsTrue(py_is_affine);
Py_DECREF(py_is_affine);
if (py_is_affine2 == -1) {
goto error;
} else if (py_is_affine2) {
if (!convert_trans_affine(py_transform, ¶ms.affine)) {
goto error;
}
params.is_affine = true;
} else {
transform_mesh_array = _get_transform_mesh(
py_transform, PyArray_DIMS(output_array));
if (transform_mesh_array == NULL) {
goto error;
}
params.transform_mesh = (double *)PyArray_DATA(transform_mesh_array);
params.is_affine = false;
}
}
if (PyArray_NDIM(input_array) != PyArray_NDIM(output_array)) {
PyErr_Format(
PyExc_ValueError,
"Mismatched number of dimensions. Got %d and %d.",
PyArray_NDIM(input_array), PyArray_NDIM(output_array));
goto error;
}
if (PyArray_TYPE(input_array) != PyArray_TYPE(output_array)) {
PyErr_SetString(PyExc_ValueError, "Mismatched types");
goto error;
}
if (PyArray_NDIM(input_array) == 3) {
if (PyArray_DIM(output_array, 2) != 4) {
PyErr_SetString(
PyExc_ValueError,
"Output array must be RGBA");
goto error;
}
if (PyArray_DIM(input_array, 2) == 4) {
switch (PyArray_TYPE(input_array)) {
case NPY_UINT8:
case NPY_INT8:
resample<agg::rgba8>(input_array, output_array, params);
break;
case NPY_UINT16:
case NPY_INT16:
resample<agg::rgba16>(input_array, output_array, params);
break;
case NPY_FLOAT32:
resample<agg::rgba32>(input_array, output_array, params);
break;
case NPY_FLOAT64:
resample<agg::rgba64>(input_array, output_array, params);
break;
default:
PyErr_SetString(
PyExc_ValueError,
"3-dimensional arrays must be of dtype unsigned byte, "
"unsigned short, float32 or float64");
goto error;
}
} else {
PyErr_Format(
PyExc_ValueError,
"If 3-dimensional, array must be RGBA. Got %" NPY_INTP_FMT " planes.",
PyArray_DIM(input_array, 2));
goto error;
}
} else { // NDIM == 2
switch (PyArray_TYPE(input_array)) {
case NPY_DOUBLE:
resample<double>(input_array, output_array, params);
break;
case NPY_FLOAT:
resample<float>(input_array, output_array, params);
break;
case NPY_UINT8:
case NPY_INT8:
resample<unsigned char>(input_array, output_array, params);
break;
case NPY_UINT16:
case NPY_INT16:
resample<unsigned short>(input_array, output_array, params);
break;
default:
PyErr_SetString(PyExc_ValueError, "Unsupported dtype");
goto error;
}
}
Py_DECREF(input_array);
Py_XDECREF(transform_mesh_array);
Py_RETURN_NONE;
error:
Py_XDECREF(input_array);
Py_XDECREF(transform_mesh_array);
return NULL;
}
static PyMethodDef module_functions[] = {
{"resample", (PyCFunction)image_resample, METH_VARARGS|METH_KEYWORDS, image_resample__doc__},
{NULL}
};
static struct PyModuleDef moduledef = {
PyModuleDef_HEAD_INIT, "_image", NULL, 0, module_functions,
};
#pragma GCC visibility push(default)
PyMODINIT_FUNC PyInit__image(void)
{
PyObject *m;
import_array();
m = PyModule_Create(&moduledef);
if (m == NULL) {
return NULL;
}
if (PyModule_AddIntConstant(m, "NEAREST", NEAREST) ||
PyModule_AddIntConstant(m, "BILINEAR", BILINEAR) ||
PyModule_AddIntConstant(m, "BICUBIC", BICUBIC) ||
PyModule_AddIntConstant(m, "SPLINE16", SPLINE16) ||
PyModule_AddIntConstant(m, "SPLINE36", SPLINE36) ||
PyModule_AddIntConstant(m, "HANNING", HANNING) ||
PyModule_AddIntConstant(m, "HAMMING", HAMMING) ||
PyModule_AddIntConstant(m, "HERMITE", HERMITE) ||
PyModule_AddIntConstant(m, "KAISER", KAISER) ||
PyModule_AddIntConstant(m, "QUADRIC", QUADRIC) ||
PyModule_AddIntConstant(m, "CATROM", CATROM) ||
PyModule_AddIntConstant(m, "GAUSSIAN", GAUSSIAN) ||
PyModule_AddIntConstant(m, "BESSEL", BESSEL) ||
PyModule_AddIntConstant(m, "MITCHELL", MITCHELL) ||
PyModule_AddIntConstant(m, "SINC", SINC) ||
PyModule_AddIntConstant(m, "LANCZOS", LANCZOS) ||
PyModule_AddIntConstant(m, "BLACKMAN", BLACKMAN) ||
PyModule_AddIntConstant(m, "_n_interpolation", _n_interpolation)) {
Py_DECREF(m);
return NULL;
}
return m;
}
#pragma GCC visibility pop
You can’t perform that action at this time.