I am working on my Project which implies the use of Empirical Mode Decomposition in C++ for EEG Signals. The input Data is Eigen::MatrixXd
, where the rows are the Channels and the columns are the samples.
I did not found a good C++ library for EMD so I want to use a Python one (dsatools
). I have downloaded the package through Pip installer
from the setup.py
file on Xubuntu... so it's a system package now.
the problem is that the program can't read the module.
this is the code:
std::vector <Eigen::MatrixXd> DataAquisition::EMD (Eigen::MatrixXd array, int order, int iterations, int locality) {
std::vector <Eigen::MatrixXd> IMFs;
for (int i = 0; i < array.rows(); i++) {
Eigen::MatrixXd Kanals = array.row(i);
Eigen::MatrixXd IMFs_Cpp;
Py_Initialize();
//PyRun_SimpleString("from dsatools._base._imf_decomposition import * ");
PyObject* sys_path = PySys_GetObject("path");
PyObject* ProgrammName = PyUnicode_FromString("/home/user/Schreibtisch/mne-cpp-main/applications/mne_bci/MNE-BCI-QT/dsatools-master/dsatools/_base/_imf_decomposition/_emd.py");
PyList_Append(sys_path, ProgrammName);
PyObject* pModuleString = PyUnicode_FromString ((char*)"_emd.py");
PyObject* pModule = PyImport_Import(pModuleString);
PyObject* pFunction = PyObject_GetAttrString(pModule,(char*)"emd");
//PyObject* pDict = PyModule_GetDict(pModule);
//PyObject* pFunc = PyDict_GetItemString(pDict, (char*)"emd");
if (PyCallable_Check(pFunction))
{
PyObject* Signal = Py_BuildValue("(d)",(double*)Kanals.data());
PyObject* Order = Py_BuildValue("(i)",order);
PyObject* method = Py_BuildValue("(z)",(char*)"cubic");
PyObject* max_itter = Py_BuildValue("(i)",iterations);
PyObject* args = PyTuple_Pack(4,Signal,Order,method,max_itter);
PyErr_Print();
PyObject* IMFs_Py = PyObject_CallObject(pFunction,args);
PyErr_Print();
if (PyArray_Check(IMFs_Py))
std::cout << "EMD Output is NOT Array \n";
PyArrayObject *np_ret = reinterpret_cast <PyArrayObject*> (IMFs_Py);
int Rows = PyArray_SHAPE(np_ret)[0];
int Cols = PyArray_SHAPE(np_ret)[1];
double* c_out = reinterpret_cast<double*>(PyArray_DATA(np_ret));
Eigen::MatrixXd IMFs_Cpp = Eigen::Map <Eigen::MatrixXd> (c_out,Rows,Cols);
IMFs.push_back(IMFs_Cpp);
}
else
std::cout << "Python did not call the function \n";
Py_Finalize();
}
return IMFs;}
this is how the code in Python should look like and I just want to call the emd function: