Open Source Computer Vision Library https://opencv.org/
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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 <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);
}