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bindings: backport generator from OpenCV 4.x

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- better handling of enum arguments
- less merge conflicts
This commit is contained in:
Alexander Alekhin
2019-03-01 18:45:33 +03:00
committed by Alexander Alekhin
parent d034ef6f27
commit f5b58e5fc9
9 changed files with 519 additions and 443 deletions
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modules/python/src2/cv2.cpp
+127 -288
View File
@@ -11,6 +11,20 @@
#pragma warning(pop)
#endif
template<typename T, class TEnable = void> // TEnable is used for SFINAE checks
struct PyOpenCV_Converter
{
//static inline bool to(PyObject* obj, T& p, const char* name);
//static inline PyObject* from(const T& src);
};
template<typename T> static
bool pyopencv_to(PyObject* obj, T& p, const char* name = "<unknown>") { return PyOpenCV_Converter<T>::to(obj, p, name); }
template<typename T> static
PyObject* pyopencv_from(const T& src) { return PyOpenCV_Converter<T>::from(src); }
#define CV_PY_FN_WITH_KW_(fn, flags) (PyCFunction)(void*)(PyCFunctionWithKeywords)(fn), (flags) | METH_VARARGS | METH_KEYWORDS
#define CV_PY_FN_NOARGS_(fn, flags) (PyCFunction)(fn), (flags) | METH_NOARGS
@@ -28,6 +42,68 @@
# define CV_PYTHON_TYPE_HEAD_INIT() PyObject_HEAD_INIT(&PyType_Type) 0,
#endif
#define CV_PY_TO_CLASS(TYPE) \
template<> \
bool pyopencv_to(PyObject* dst, TYPE& src, const char* name) \
{ \
if (!dst || dst == Py_None) \
return true; \
Ptr<TYPE> ptr; \
\
if (!pyopencv_to(dst, ptr, name)) return false; \
src = *ptr; \
return true; \
}
#define CV_PY_FROM_CLASS(TYPE) \
template<> \
PyObject* pyopencv_from(const TYPE& src) \
{ \
Ptr<TYPE> ptr(new TYPE()); \
\
*ptr = src; \
return pyopencv_from(ptr); \
}
#define CV_PY_TO_CLASS_PTR(TYPE) \
template<> \
bool pyopencv_to(PyObject* dst, TYPE*& src, const char* name) \
{ \
if (!dst || dst == Py_None) \
return true; \
Ptr<TYPE> ptr; \
\
if (!pyopencv_to(dst, ptr, name)) return false; \
src = ptr; \
return true; \
}
#define CV_PY_FROM_CLASS_PTR(TYPE) \
static PyObject* pyopencv_from(TYPE*& src) \
{ \
return pyopencv_from(Ptr<TYPE>(src)); \
}
#define CV_PY_TO_ENUM(TYPE) \
template<> \
bool pyopencv_to(PyObject* dst, TYPE& src, const char* name) \
{ \
if (!dst || dst == Py_None) \
return true; \
int underlying = 0; \
\
if (!pyopencv_to(dst, underlying, name)) return false; \
src = static_cast<TYPE>(underlying); \
return true; \
}
#define CV_PY_FROM_ENUM(TYPE) \
template<> \
PyObject* pyopencv_from(const TYPE& src) \
{ \
return pyopencv_from(static_cast<int>(src)); \
}
#include "pyopencv_generated_include.h"
#include "opencv2/core/types_c.h"
@@ -37,7 +113,7 @@
#include <map>
static PyObject* opencv_error = 0;
static PyObject* opencv_error = NULL;
static int failmsg(const char *fmt, ...)
{
@@ -98,6 +174,12 @@ try \
} \
catch (const cv::Exception &e) \
{ \
PyObject_SetAttrString(opencv_error, "file", PyString_FromString(e.file.c_str())); \
PyObject_SetAttrString(opencv_error, "func", PyString_FromString(e.func.c_str())); \
PyObject_SetAttrString(opencv_error, "line", PyInt_FromLong(e.line)); \
PyObject_SetAttrString(opencv_error, "code", PyInt_FromLong(e.code)); \
PyObject_SetAttrString(opencv_error, "msg", PyString_FromString(e.msg.c_str())); \
PyObject_SetAttrString(opencv_error, "err", PyString_FromString(e.err.c_str())); \
PyErr_SetString(opencv_error, e.what()); \
return 0; \
}
@@ -113,6 +195,7 @@ typedef std::vector<size_t> vector_size_t;
typedef std::vector<Point> vector_Point;
typedef std::vector<Point2f> vector_Point2f;
typedef std::vector<Point3f> vector_Point3f;
typedef std::vector<Size> vector_Size;
typedef std::vector<Vec2f> vector_Vec2f;
typedef std::vector<Vec3f> vector_Vec3f;
typedef std::vector<Vec4f> vector_Vec4f;
@@ -223,12 +306,6 @@ public:
NumpyAllocator g_numpyAllocator;
template<typename T> static
bool pyopencv_to(PyObject* obj, T& p, const char* name = "<unknown>");
template<typename T> static
PyObject* pyopencv_from(const T& src);
enum { ARG_NONE = 0, ARG_MAT = 1, ARG_SCALAR = 2 };
// special case, when the converter needs full ArgInfo structure
@@ -435,15 +512,6 @@ bool pyopencv_to(PyObject* o, Matx<_Tp, m, n>& mx, const char* name)
return pyopencv_to(o, mx, ArgInfo(name, 0));
}
template <typename T>
bool pyopencv_to(PyObject *o, Ptr<T>& p, const char *name)
{
if (!o || o == Py_None)
return true;
p = makePtr<T>();
return pyopencv_to(o, *p, name);
}
template<>
PyObject* pyopencv_from(const Mat& m)
{
@@ -468,279 +536,39 @@ PyObject* pyopencv_from(const Matx<_Tp, m, n>& matx)
}
template<typename T>
PyObject* pyopencv_from(const cv::Ptr<T>& p)
struct PyOpenCV_Converter< cv::Ptr<T> >
{
if (!p)
Py_RETURN_NONE;
return pyopencv_from(*p);
}
typedef struct {
PyObject_HEAD
UMat* um;
} cv2_UMatWrapperObject;
static bool PyObject_IsUMat(PyObject *o);
// UMatWrapper init - try to map arguments from python to UMat constructors
static int UMatWrapper_init(PyObject* self_, PyObject *args, PyObject *kwds)
{
cv2_UMatWrapperObject* self = (cv2_UMatWrapperObject*)self_;
if (self == NULL)
static PyObject* from(const cv::Ptr<T>& p)
{
PyErr_SetString(PyExc_TypeError, "Internal error");
return -1;
if (!p)
Py_RETURN_NONE;
return pyopencv_from(*p);
}
self->um = NULL;
static bool to(PyObject *o, Ptr<T>& p, const char *name)
{
// constructor ()
const char *kwlist[] = {NULL};
if (PyArg_ParseTupleAndKeywords(args, kwds, "", (char**) kwlist)) {
self->um = new UMat();
return 0;
}
PyErr_Clear();
if (!o || o == Py_None)
return true;
p = makePtr<T>();
return pyopencv_to(o, *p, name);
}
{
// constructor (rows, cols, type)
const char *kwlist[] = {"rows", "cols", "type", NULL};
int rows, cols, type;
if (PyArg_ParseTupleAndKeywords(args, kwds, "iii", (char**) kwlist, &rows, &cols, &type)) {
self->um = new UMat(rows, cols, type);
return 0;
}
PyErr_Clear();
}
{
// constructor (m, rowRange, colRange)
const char *kwlist[] = {"m", "rowRange", "colRange", NULL};
PyObject *obj = NULL;
int y0 = -1, y1 = -1, x0 = -1, x1 = -1;
if (PyArg_ParseTupleAndKeywords(args, kwds, "O(ii)|(ii)", (char**) kwlist, &obj, &y0, &y1, &x0, &x1) && PyObject_IsUMat(obj)) {
UMat *um_other = ((cv2_UMatWrapperObject *) obj)->um;
Range rowRange(y0, y1);
Range colRange = (x0 >= 0 && x1 >= 0) ? Range(x0, x1) : Range::all();
self->um = new UMat(*um_other, rowRange, colRange);
return 0;
}
PyErr_Clear();
}
{
// constructor (m)
const char *kwlist[] = {"m", NULL};
PyObject *obj = NULL;
if (PyArg_ParseTupleAndKeywords(args, kwds, "O", (char**) kwlist, &obj)) {
// constructor (UMat m)
if (PyObject_IsUMat(obj)) {
UMat *um_other = ((cv2_UMatWrapperObject *) obj)->um;
self->um = new UMat(*um_other);
return 0;
}
// python specific constructor from array like object
Mat m;
if (pyopencv_to(obj, m, ArgInfo("UMatWrapper.np_mat", 0))) {
self->um = new UMat();
m.copyTo(*self->um);
return 0;
}
}
PyErr_Clear();
}
PyErr_SetString(PyExc_TypeError, "no matching UMat constructor found/supported");
return -1;
}
static void UMatWrapper_dealloc(cv2_UMatWrapperObject* self)
{
if (self->um)
delete self->um;
#if PY_MAJOR_VERSION >= 3
Py_TYPE(self)->tp_free((PyObject*)self);
#else
self->ob_type->tp_free((PyObject*)self);
#endif
}
// UMatWrapper.get() - returns numpy array by transferring UMat data to Mat and than wrapping it to numpy array
// (using numpy allocator - and so without unnecessary copy)
static PyObject * UMatWrapper_get(PyObject* self_, PyObject * /*args*/)
{
cv2_UMatWrapperObject* self = (cv2_UMatWrapperObject*)self_;
if (self == NULL)
return failmsgp("Incorrect type of self (must be 'cv2_UMatWrapperObject')");
Mat m;
m.allocator = &g_numpyAllocator;
self->um->copyTo(m);
return pyopencv_from(m);
}
// UMatWrapper.handle() - returns the OpenCL handle of the UMat object
static PyObject * UMatWrapper_handle(PyObject* self_, PyObject *args, PyObject *kwds)
{
cv2_UMatWrapperObject* self = (cv2_UMatWrapperObject*)self_;
if (self == NULL)
return failmsgp("Incorrect type of self (must be 'cv2_UMatWrapperObject')");
const char *kwlist[] = {"accessFlags", NULL};
int accessFlags;
if (!PyArg_ParseTupleAndKeywords(args, kwds, "i", (char**) kwlist, &accessFlags))
return 0;
return PyLong_FromVoidPtr(self->um->handle(accessFlags));
}
// UMatWrapper.isContinuous() - returns true if the matrix data is continuous
static PyObject * UMatWrapper_isContinuous(PyObject* self_, PyObject * /*args*/)
{
cv2_UMatWrapperObject* self = (cv2_UMatWrapperObject*)self_;
if (self == NULL)
return failmsgp("Incorrect type of self (must be 'cv2_UMatWrapperObject')");
return PyBool_FromLong(self->um->isContinuous());
}
// UMatWrapper.isContinuous() - returns true if the matrix is a submatrix of another matrix
static PyObject * UMatWrapper_isSubmatrix(PyObject* self_, PyObject * /*args*/)
{
cv2_UMatWrapperObject* self = (cv2_UMatWrapperObject*)self_;
if (self == NULL)
return failmsgp("Incorrect type of self (must be 'cv2_UMatWrapperObject')");
return PyBool_FromLong(self->um->isSubmatrix());
}
// UMatWrapper.context() - returns the OpenCL context used by OpenCV UMat
static PyObject * UMatWrapper_context(PyObject* /*self_*/, PyObject * /*args*/)
{
return PyLong_FromVoidPtr(cv::ocl::Context::getDefault().ptr());
}
// UMatWrapper.context() - returns the OpenCL queue used by OpenCV UMat
static PyObject * UMatWrapper_queue(PyObject* /*self_*/, PyObject * /*args*/)
{
return PyLong_FromVoidPtr(cv::ocl::Queue::getDefault().ptr());
}
static PyObject * UMatWrapper_offset_getter(PyObject* self_, void*)
{
cv2_UMatWrapperObject* self = (cv2_UMatWrapperObject*)self_;
if (self == NULL)
return failmsgp("Incorrect type of self (must be 'cv2_UMatWrapperObject')");
return PyLong_FromSsize_t(self->um->offset);
}
static PyMethodDef UMatWrapper_methods[] = {
{"get", CV_PY_FN_NOARGS(UMatWrapper_get),
"Returns numpy array"
},
{"handle", CV_PY_FN_WITH_KW(UMatWrapper_handle),
"Returns UMat native handle"
},
{"isContinuous", CV_PY_FN_NOARGS(UMatWrapper_isContinuous),
"Returns true if the matrix data is continuous"
},
{"isSubmatrix", CV_PY_FN_NOARGS(UMatWrapper_isSubmatrix),
"Returns true if the matrix is a submatrix of another matrix"
},
{"context", CV_PY_FN_NOARGS_(UMatWrapper_context, METH_STATIC),
"Returns OpenCL context handle"
},
{"queue", CV_PY_FN_NOARGS_(UMatWrapper_queue, METH_STATIC),
"Returns OpenCL queue handle"
},
{NULL, NULL, 0, NULL} /* Sentinel */
};
static PyGetSetDef UMatWrapper_getset[] = {
{(char*) "offset", (getter) UMatWrapper_offset_getter, NULL, NULL, NULL},
{NULL, NULL, NULL, NULL, NULL} /* Sentinel */
};
static PyTypeObject cv2_UMatWrapperType = {
#if PY_MAJOR_VERSION >= 3
PyVarObject_HEAD_INIT(NULL, 0)
#else
PyObject_HEAD_INIT(NULL)
0, /*ob_size*/
#endif
"cv2.UMat", /* tp_name */
sizeof(cv2_UMatWrapperObject), /* tp_basicsize */
0, /* tp_itemsize */
(destructor)UMatWrapper_dealloc, /* tp_dealloc */
0, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_reserved */
0, /* tp_repr */
0, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
0, /* tp_hash */
0, /* tp_call */
0, /* tp_str */
0, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT, /* tp_flags */
"OpenCV 3 UMat wrapper. Used for T-API support.", /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
UMatWrapper_methods, /* tp_methods */
0, /* tp_members */
UMatWrapper_getset, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
(initproc)UMatWrapper_init, /* tp_init */
0, /* tp_alloc */
PyType_GenericNew, /* tp_new */
0, /* tp_free */
0, /* tp_is_gc */
0, /* tp_bases */
0, /* tp_mro */
0, /* tp_cache */
0, /* tp_subclasses */
0, /* tp_weaklist */
0, /* tp_del */
0, /* tp_version_tag */
#if PY_MAJOR_VERSION >= 3
0, /* tp_finalize */
#endif
};
static bool PyObject_IsUMat(PyObject *o) {
return (o != NULL) && PyObject_TypeCheck(o, &cv2_UMatWrapperType);
}
static bool pyopencv_to(PyObject* o, UMat& um, const ArgInfo info) {
if (PyObject_IsUMat(o)) {
um = *((cv2_UMatWrapperObject *) o)->um;
template<>
bool pyopencv_to(PyObject* obj, void*& ptr, const char* name)
{
CV_UNUSED(name);
if (!obj || obj == Py_None)
return true;
}
Mat m;
if (!pyopencv_to(o, m, info)) {
if (!PyLong_Check(obj))
return false;
}
m.copyTo(um);
return true;
ptr = PyLong_AsVoidPtr(obj);
return ptr != NULL && !PyErr_Occurred();
}
template<>
bool pyopencv_to(PyObject* o, UMat& um, const char* name)
static PyObject* pyopencv_from(void*& ptr)
{
return pyopencv_to(o, um, ArgInfo(name, 0));
}
template<>
PyObject* pyopencv_from(const UMat& m) {
PyObject *o = PyObject_CallObject((PyObject *) &cv2_UMatWrapperType, NULL);
*((cv2_UMatWrapperObject *) o)->um = m;
return o;
return PyLong_FromVoidPtr(ptr);
}
static bool pyopencv_to(PyObject *o, Scalar& s, const ArgInfo info)
@@ -1483,6 +1311,19 @@ template<> struct pyopencvVecConverter<Mat>
}
};
template<> struct pyopencvVecConverter<UMat>
{
static bool to(PyObject* obj, std::vector<UMat>& value, const ArgInfo info)
{
return pyopencv_to_generic_vec(obj, value, info);
}
static PyObject* from(const std::vector<UMat>& value)
{
return pyopencv_from_generic_vec(value);
}
};
template<> struct pyopencvVecConverter<KeyPoint>
{
static bool to(PyObject* obj, std::vector<KeyPoint>& value, const ArgInfo info)
@@ -1814,6 +1655,7 @@ static int convert_to_char(PyObject *o, char *dst, const char *name = "no_name")
# pragma GCC diagnostic ignored "-Wmissing-field-initializers"
#endif
#include "pyopencv_generated_enums.h"
#include "pyopencv_custom_headers.h"
#include "pyopencv_generated_types.h"
#include "pyopencv_generated_funcs.h"
@@ -1927,18 +1769,17 @@ void initcv2()
PyDict_SetItemString(d, "__version__", PyString_FromString(CV_VERSION));
opencv_error = PyErr_NewException((char*)MODULESTR".error", NULL, NULL);
PyObject *opencv_error_dict = PyDict_New();
PyDict_SetItemString(opencv_error_dict, "file", Py_None);
PyDict_SetItemString(opencv_error_dict, "func", Py_None);
PyDict_SetItemString(opencv_error_dict, "line", Py_None);
PyDict_SetItemString(opencv_error_dict, "code", Py_None);
PyDict_SetItemString(opencv_error_dict, "msg", Py_None);
PyDict_SetItemString(opencv_error_dict, "err", Py_None);
opencv_error = PyErr_NewException((char*)MODULESTR".error", NULL, opencv_error_dict);
Py_DECREF(opencv_error_dict);
PyDict_SetItemString(d, "error", opencv_error);
//Registering UMatWrapper python class in cv2 module:
if (PyType_Ready(&cv2_UMatWrapperType) < 0)
#if PY_MAJOR_VERSION >= 3
return NULL;
#else
return;
#endif
#if PY_MAJOR_VERSION >= 3
#define PUBLISH_OBJECT(name, type) Py_INCREF(&type);\
PyModule_AddObject(m, name, (PyObject *)&type);
@@ -1949,8 +1790,6 @@ void initcv2()
PyModule_AddObject(m, name, (PyObject *)&type);
#endif
PUBLISH_OBJECT("UMat", cv2_UMatWrapperType);
#include "pyopencv_generated_type_publish.h"
#define PUBLISH(I) PyDict_SetItemString(d, #I, PyInt_FromLong(I))