opencv/modules/gapi/misc/python/pyopencv_gapi.hpp
Anatoliy Talamanov 537494f4dd
Merge pull request #18512 from TolyaTalamanov:at/fix-untyped-np-array-for-gapi-python
[G-API] Numpy array with int64 failed in cv.gin

* Fix bug with numpy array precision in G-API python

* Fix comments to review
2020-10-07 20:38:59 +00:00

166 lines
4.1 KiB
C++

#ifndef OPENCV_GAPI_PYOPENCV_GAPI_HPP
#define OPENCV_GAPI_PYOPENCV_GAPI_HPP
#ifdef HAVE_OPENCV_GAPI
using gapi_GKernelPackage = cv::gapi::GKernelPackage;
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);
}
default:
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)
{
PyErr_SetString(PyExc_TypeError, "Failed to unpack GRunArgs");
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 <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
{
PyErr_SetString(PyExc_TypeError, "cv.GIn() supports only cv.GMat and cv.GScalar");
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;
}
}
}
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