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
|
#ifndef OPENCV_GAPI_PYOPENCV_GAPI_HPP
#define OPENCV_GAPI_PYOPENCV_GAPI_HPP
#ifdef HAVE_OPENCV_GAPI
// NB: Python wrapper replaces :: with _ for classes
using gapi_GKernelPackage = cv::gapi::GKernelPackage;
using gapi_GNetPackage = cv::gapi::GNetPackage;
using gapi_ie_PyParams = cv::gapi::ie::PyParams;
using gapi_wip_IStreamSource_Ptr = cv::Ptr<cv::gapi::wip::IStreamSource>;
// FIXME: Python wrapper generate code without namespace std,
// so it cause error: "string wasn't declared"
// WA: Create using
using std::string;
template<>
bool pyopencv_to(PyObject* obj, std::vector<GCompileArg>& value, const ArgInfo& info)
{
return pyopencv_to_generic_vec(obj, value, info);
}
template<>
PyObject* pyopencv_from(const std::vector<GCompileArg>& value)
{
return pyopencv_from_generic_vec(value);
}
template<>
bool pyopencv_to(PyObject* obj, GRunArgs& value, const ArgInfo& info)
{
return pyopencv_to_generic_vec(obj, value, info);
}
static PyObject* from_grunarg(const GRunArg& v)
{
switch (v.index())
{
case GRunArg::index_of<cv::Mat>():
{
const auto& m = util::get<cv::Mat>(v);
return pyopencv_from(m);
}
case GRunArg::index_of<cv::Scalar>():
{
const auto& s = util::get<cv::Scalar>(v);
return pyopencv_from(s);
}
case GRunArg::index_of<cv::detail::VectorRef>():
{
const auto& vref = util::get<cv::detail::VectorRef>(v);
switch (vref.getKind())
{
case cv::detail::OpaqueKind::CV_POINT2F:
return pyopencv_from(vref.rref<cv::Point2f>());
default:
PyErr_SetString(PyExc_TypeError, "Unsupported kind for GArray");
return NULL;
}
}
default:
PyErr_SetString(PyExc_TypeError, "Failed to unpack GRunArgs");
return NULL;
}
GAPI_Assert(false);
}
template<>
PyObject* pyopencv_from(const GRunArgs& value)
{
size_t i, n = value.size();
// NB: It doesn't make sense to return list with a single element
if (n == 1)
{
PyObject* item = from_grunarg(value[0]);
if(!item)
{
return NULL;
}
return item;
}
PyObject* list = PyList_New(n);
for(i = 0; i < n; ++i)
{
PyObject* item = from_grunarg(value[i]);
if(!item)
{
Py_DECREF(list);
PyErr_SetString(PyExc_TypeError, "Failed to unpack GRunArgs");
return NULL;
}
PyList_SetItem(list, i, item);
}
return list;
}
template<>
bool pyopencv_to(PyObject* obj, GMetaArgs& value, const ArgInfo& info)
{
return pyopencv_to_generic_vec(obj, value, info);
}
template<>
PyObject* pyopencv_from(const GMetaArgs& value)
{
return pyopencv_from_generic_vec(value);
}
template <typename T>
static PyObject* extract_proto_args(PyObject* py_args, PyObject* kw)
{
using namespace cv;
GProtoArgs args;
Py_ssize_t size = PyTuple_Size(py_args);
for (int i = 0; i < size; ++i)
{
PyObject* item = PyTuple_GetItem(py_args, i);
if (PyObject_TypeCheck(item, reinterpret_cast<PyTypeObject*>(pyopencv_GScalar_TypePtr)))
{
args.emplace_back(reinterpret_cast<pyopencv_GScalar_t*>(item)->v);
}
else if (PyObject_TypeCheck(item, reinterpret_cast<PyTypeObject*>(pyopencv_GMat_TypePtr)))
{
args.emplace_back(reinterpret_cast<pyopencv_GMat_t*>(item)->v);
}
else if (PyObject_TypeCheck(item, reinterpret_cast<PyTypeObject*>(pyopencv_GArrayP2f_TypePtr)))
{
args.emplace_back(reinterpret_cast<pyopencv_GArrayP2f_t*>(item)->v.strip());
}
else
{
PyErr_SetString(PyExc_TypeError, "Unsupported type for cv.GIn()/cv.GOut()");
return NULL;
}
}
return pyopencv_from<T>(T{std::move(args)});
}
static PyObject* pyopencv_cv_GIn(PyObject* , PyObject* py_args, PyObject* kw)
{
return extract_proto_args<GProtoInputArgs>(py_args, kw);
}
static PyObject* pyopencv_cv_GOut(PyObject* , PyObject* py_args, PyObject* kw)
{
return extract_proto_args<GProtoOutputArgs>(py_args, kw);
}
static PyObject* pyopencv_cv_gin(PyObject* , PyObject* py_args, PyObject* kw)
{
using namespace cv;
GRunArgs args;
Py_ssize_t size = PyTuple_Size(py_args);
for (int i = 0; i < size; ++i)
{
PyObject* item = PyTuple_GetItem(py_args, i);
if (PyTuple_Check(item))
{
cv::Scalar s;
if (pyopencv_to(item, s, ArgInfo("scalar", false)))
{
args.emplace_back(s);
}
else
{
PyErr_SetString(PyExc_TypeError, "Failed convert tuple to cv::Scalar");
return NULL;
}
}
else if (PyArray_Check(item))
{
cv::Mat m;
if (pyopencv_to(item, m, ArgInfo("mat", false)))
{
args.emplace_back(m);
}
else
{
PyErr_SetString(PyExc_TypeError, "Failed convert array to cv::Mat");
return NULL;
}
}
else if (PyObject_TypeCheck(item,
reinterpret_cast<PyTypeObject*>(pyopencv_gapi_wip_IStreamSource_TypePtr)))
{
cv::gapi::wip::IStreamSource::Ptr source =
reinterpret_cast<pyopencv_gapi_wip_IStreamSource_t*>(item)->v;
args.emplace_back(source);
}
else
{
PyErr_SetString(PyExc_TypeError, "cv.gin can works only with cv::Mat,"
"cv::Scalar, cv::gapi::wip::IStreamSource::Ptr");
return NULL;
}
}
return pyopencv_from_generic_vec(args);
}
static PyObject* pyopencv_cv_gout(PyObject* o, PyObject* py_args, PyObject* kw)
{
return pyopencv_cv_gin(o, py_args, kw);
}
#endif // HAVE_OPENCV_GAPI
#endif // OPENCV_GAPI_PYOPENCV_GAPI_HPP
|
