#ifdef HAVE_OPENCV_FLANN typedef cvflann::flann_distance_t cvflann_flann_distance_t; typedef cvflann::flann_algorithm_t cvflann_flann_algorithm_t; template<> PyObject* pyopencv_from(const cvflann_flann_algorithm_t& value) { return PyInt_FromLong(int(value)); } template<> PyObject* pyopencv_from(const cvflann_flann_distance_t& value) { return PyInt_FromLong(int(value)); } template<> bool pyopencv_to(PyObject *o, cv::flann::IndexParams& p, const ArgInfo& info) { CV_UNUSED(info); bool ok = true; PyObject* key = NULL; PyObject* item = NULL; Py_ssize_t pos = 0; if (!o || o == Py_None) return true; if(PyDict_Check(o)) { while(PyDict_Next(o, &pos, &key, &item)) { // get key std::string k; if (!getUnicodeString(key, k)) { ok = false; break; } // get value if( !!PyBool_Check(item) ) { p.setBool(k, item == Py_True); } else if( PyInt_Check(item) ) { int value = (int)PyInt_AsLong(item); if( strcmp(k.c_str(), "algorithm") == 0 ) p.setAlgorithm(value); else p.setInt(k, value); } else if( PyFloat_Check(item) ) { double value = PyFloat_AsDouble(item); p.setDouble(k, value); } else { std::string val_str; if (!getUnicodeString(item, val_str)) { ok = false; break; } p.setString(k, val_str); } } } return ok && !PyErr_Occurred(); } template<> bool pyopencv_to(PyObject* obj, cv::flann::SearchParams & value, const ArgInfo& info) { return pyopencv_to(obj, value, info); } template<> bool pyopencv_to(PyObject *o, cvflann::flann_distance_t& dist, const ArgInfo& info) { int d = (int)dist; bool ok = pyopencv_to(o, d, info); dist = (cvflann::flann_distance_t)d; return ok; } #endif