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