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Open Source Computer Vision Library
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79 lines
2.0 KiB
79 lines
2.0 KiB
#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 char *name) |
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{ |
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(void)name; |
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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(PyDict_Check(o)) { |
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while(PyDict_Next(o, &pos, &key, &item)) { |
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if( !PyString_Check(key) ) { |
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ok = false; |
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break; |
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} |
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String k = PyString_AsString(key); |
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if( PyString_Check(item) ) |
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{ |
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const char* value = PyString_AsString(item); |
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p.setString(k, value); |
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} |
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else if( !!PyBool_Check(item) ) |
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p.setBool(k, item == Py_True); |
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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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ok = false; |
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break; |
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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 char * name) |
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{ |
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return pyopencv_to<cv::flann::IndexParams>(obj, value, name); |
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} |
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template<> |
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bool pyopencv_to(PyObject *o, cvflann::flann_distance_t& dist, const char *name) |
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{ |
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int d = (int)dist; |
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bool ok = pyopencv_to(o, d, name); |
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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 |