Open Source Computer Vision Library https://opencv.org/
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#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)
{
if (!o || o == Py_None)
{
return true;
}
if(!PyDict_Check(o))
{
failmsg("Argument '%s' is not a dictionary", info.name);
return false;
}
PyObject* key_obj = NULL;
PyObject* value_obj = NULL;
Py_ssize_t key_pos = 0;
while(PyDict_Next(o, &key_pos, &key_obj, &value_obj))
{
// get key
std::string key;
if (!getUnicodeString(key_obj, key))
{
failmsg("Key at pos %lld is not a string", static_cast<int64_t>(key_pos));
return false;
}
// key_arg_info.name is bound to key lifetime
const ArgInfo key_arg_info(key.c_str(), false);
// get value
if (isBool(value_obj))
{
npy_bool npy_value = NPY_FALSE;
if (PyArray_BoolConverter(value_obj, &npy_value) >= 0)
{
p.setBool(key, npy_value == NPY_TRUE);
continue;
}
PyErr_Clear();
}
int int_value = 0;
if (pyopencv_to(value_obj, int_value, key_arg_info))
{
if (key == "algorithm")
{
p.setAlgorithm(int_value);
}
else
{
p.setInt(key, int_value);
}
continue;
}
PyErr_Clear();
double flt_value = 0.0;
if (pyopencv_to(value_obj, flt_value, key_arg_info))
{
if (key == "eps")
{
p.setFloat(key, static_cast<float>(flt_value));
}
else
{
p.setDouble(key, flt_value);
}
continue;
}
PyErr_Clear();
std::string str_value;
if (getUnicodeString(value_obj, str_value))
{
p.setString(key, str_value);
continue;
}
PyErr_Clear();
// All conversions are failed
failmsg("Failed to parse IndexParam with key '%s'. "
"Supported types: [bool, int, float, str]", key.c_str());
return false;
}
return true;
}
template<>
bool pyopencv_to(PyObject* obj, cv::flann::SearchParams & value, const ArgInfo& info)
{
return pyopencv_to<cv::flann::IndexParams>(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