#include #include #include #include #include #include #include #include #include #include "serialize_pickle.h" using namespace std; using namespace dlib; using namespace boost::python; void bind_matrix(); void bind_vector(); void bind_svm_c_trainer(); void bind_decision_functions(); boost::shared_ptr > array_from_object(object obj) { extract thesize(obj); if (thesize.check()) { long nr = thesize; boost::shared_ptr > temp(new std::vector(nr)); return temp; } else { const long nr = len(obj); boost::shared_ptr > temp(new std::vector(nr)); for ( long r = 0; r < nr; ++r) { (*temp)[r] = extract(obj[r]); } return temp; } } string array__str__ (const std::vector& v) { std::ostringstream sout; for (unsigned long i = 0; i < v.size(); ++i) { sout << v[i]; if (i+1 < v.size()) sout << "\n"; } return sout.str(); } string array__repr__ (const std::vector& v) { std::ostringstream sout; sout << "dlib.array(["; for (unsigned long i = 0; i < v.size(); ++i) { sout << v[i]; if (i+1 < v.size()) sout << ", "; } sout << "])"; return sout.str(); } string pair__str__ (const std::pair& p) { std::ostringstream sout; sout << p.first << ": " << p.second; return sout.str(); } string pair__repr__ (const std::pair& p) { std::ostringstream sout; sout << "dlib.pair(" << p.first << ", " << p.second << ")"; return sout.str(); } string sparse_vector__str__ (const std::vector >& v) { std::ostringstream sout; for (unsigned long i = 0; i < v.size(); ++i) { sout << v[i].first << ": " << v[i].second; if (i+1 < v.size()) sout << "\n"; } return sout.str(); } string sparse_vector__repr__ (const std::vector >& v) { std::ostringstream sout; sout << "< dlib.sparse_vector containing: \n" << sparse_vector__str__(v) << " >"; return sout.str(); } tuple get_training_data() { typedef matrix sample_type; std::vector samples; std::vector labels; sample_type samp(3); samp = 1,2,3; samples.push_back(samp); labels.push_back(+1); samp = -1,-2,-3; samples.push_back(samp); labels.push_back(-1); return make_tuple(samples, labels); } BOOST_PYTHON_MODULE(dlib) { bind_matrix(); bind_vector(); bind_svm_c_trainer(); bind_decision_functions(); class_ >("array", init<>()) .def(vector_indexing_suite >()) .def("__init__", make_constructor(&array_from_object)) .def("__str__", array__str__) .def("__repr__", array__repr__) .def_pickle(serialize_pickle >()); class_ > >("vectors") .def(vector_indexing_suite > >()) .def_pickle(serialize_pickle > >()); typedef pair pair_type; class_("pair", "This object is used to represent the elements of a sparse_vector.", init<>() ) .def(init()) .def_readwrite("first",&pair_type::first, "This field represents the index/dimension number.") .def_readwrite("second",&pair_type::second, "This field contains the value in a vector at dimension specified by the first field.") .def("__str__", pair__str__) .def("__repr__", pair__repr__) .def_pickle(serialize_pickle()); class_ >("sparse_vector") .def(vector_indexing_suite >()) .def("__str__", sparse_vector__str__) .def("__repr__", sparse_vector__repr__) .def_pickle(serialize_pickle >()); class_ > >("sparse_vectors") .def(vector_indexing_suite > >()) .def_pickle(serialize_pickle > >()); def("get_training_data",get_training_data); /* def("tomat",tomat); def("add_to_map", add_to_map); def("getpair", getpair); def("getmatrix", getmatrix); def("yay", yay); def("sum", sum_mat); def("getmap", getmap); def("go", go); def("append_to_vector", append_to_vector); */ }