Mercurial > hg > segmenter-vamp-plugin
diff armadillo-3.900.4/include/armadillo_bits/op_median_meat.hpp @ 49:1ec0e2823891
Switch to using subrepo copies of qm-dsp, nnls-chroma, vamp-plugin-sdk; update Armadillo version; assume build without external BLAS/LAPACK
author | Chris Cannam |
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date | Thu, 13 Jun 2013 10:25:24 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/armadillo-3.900.4/include/armadillo_bits/op_median_meat.hpp Thu Jun 13 10:25:24 2013 +0100 @@ -0,0 +1,414 @@ +// Copyright (C) 2009-2013 NICTA (www.nicta.com.au) +// Copyright (C) 2009-2013 Conrad Sanderson +// Copyright (C) 2013 Ruslan Shestopalyuk +// +// This Source Code Form is subject to the terms of the Mozilla Public +// License, v. 2.0. If a copy of the MPL was not distributed with this +// file, You can obtain one at http://mozilla.org/MPL/2.0/. + + +//! \addtogroup op_median +//! @{ + + + +//! \brief +//! For each row or for each column, find the median value. +//! The result is stored in a dense matrix that has either one column or one row. +//! The dimension, for which the medians are found, is set via the median() function. +template<typename T1> +inline +void +op_median::apply(Mat<typename T1::elem_type>& out, const Op<T1,op_median>& in) + { + arma_extra_debug_sigprint(); + + typedef typename T1::elem_type eT; + + const uword dim = in.aux_uword_a; + arma_debug_check( (dim > 1), "median(): incorrect usage. dim must be 0 or 1"); + + const Proxy<T1> P(in.m); + + typedef typename Proxy<T1>::stored_type P_stored_type; + + const bool is_alias = P.is_alias(out); + + if( (is_Mat<P_stored_type>::value == true) || is_alias ) + { + const unwrap_check<P_stored_type> tmp(P.Q, is_alias); + + const typename unwrap_check<P_stored_type>::stored_type& X = tmp.M; + + const uword X_n_rows = X.n_rows; + const uword X_n_cols = X.n_cols; + + if(dim == 0) // in each column + { + arma_extra_debug_print("op_median::apply(), dim = 0"); + + arma_debug_check( (X_n_rows == 0), "median(): given object has zero rows" ); + + out.set_size(1, X_n_cols); + + std::vector<eT> tmp_vec(X_n_rows); + + for(uword col=0; col < X_n_cols; ++col) + { + arrayops::copy( &(tmp_vec[0]), X.colptr(col), X_n_rows ); + + out[col] = op_median::direct_median(tmp_vec); + } + } + else // in each row + { + arma_extra_debug_print("op_median::apply(), dim = 1"); + + arma_debug_check( (X_n_cols == 0), "median(): given object has zero columns" ); + + out.set_size(X_n_rows, 1); + + std::vector<eT> tmp_vec(X_n_cols); + + for(uword row=0; row < X_n_rows; ++row) + { + for(uword col=0; col < X_n_cols; ++col) { tmp_vec[col] = X.at(row,col); } + + out[row] = op_median::direct_median(tmp_vec); + } + } + } + else + { + const uword P_n_rows = P.get_n_rows(); + const uword P_n_cols = P.get_n_cols(); + + if(dim == 0) // in each column + { + arma_extra_debug_print("op_median::apply(), dim = 0"); + + arma_debug_check( (P_n_rows == 0), "median(): given object has zero rows" ); + + out.set_size(1, P_n_cols); + + std::vector<eT> tmp_vec(P_n_rows); + + for(uword col=0; col < P_n_cols; ++col) + { + for(uword row=0; row < P_n_rows; ++row) { tmp_vec[row] = P.at(row,col); } + + out[col] = op_median::direct_median(tmp_vec); + } + } + else // in each row + { + arma_extra_debug_print("op_median::apply(), dim = 1"); + + arma_debug_check( (P_n_cols == 0), "median(): given object has zero columns" ); + + out.set_size(P_n_rows, 1); + + std::vector<eT> tmp_vec(P_n_cols); + + for(uword row=0; row < P_n_rows; ++row) + { + for(uword col=0; col < P_n_cols; ++col) { tmp_vec[col] = P.at(row,col); } + + out[row] = op_median::direct_median(tmp_vec); + } + } + } + } + + + +//! Implementation for complex numbers +template<typename T, typename T1> +inline +void +op_median::apply(Mat< std::complex<T> >& out, const Op<T1,op_median>& in) + { + arma_extra_debug_sigprint(); + + typedef typename std::complex<T> eT; + + arma_type_check(( is_same_type<eT, typename T1::elem_type>::value == false )); + + const unwrap_check<T1> tmp(in.m, out); + const Mat<eT>& X = tmp.M; + + const uword X_n_rows = X.n_rows; + const uword X_n_cols = X.n_cols; + + const uword dim = in.aux_uword_a; + arma_debug_check( (dim > 1), "median(): incorrect usage. dim must be 0 or 1"); + + if(dim == 0) // in each column + { + arma_extra_debug_print("op_median::apply(), dim = 0"); + + arma_debug_check( (X_n_rows == 0), "median(): given object has zero rows" ); + + out.set_size(1, X_n_cols); + + std::vector< arma_cx_median_packet<T> > tmp_vec(X_n_rows); + + for(uword col=0; col<X_n_cols; ++col) + { + const eT* colmem = X.colptr(col); + + for(uword row=0; row<X_n_rows; ++row) + { + tmp_vec[row].val = std::abs(colmem[row]); + tmp_vec[row].index = row; + } + + uword index1; + uword index2; + op_median::direct_cx_median_index(index1, index2, tmp_vec); + + out[col] = op_mean::robust_mean(colmem[index1], colmem[index2]); + } + } + else + if(dim == 1) // in each row + { + arma_extra_debug_print("op_median::apply(), dim = 1"); + + arma_debug_check( (X_n_cols == 0), "median(): given object has zero columns" ); + + out.set_size(X_n_rows, 1); + + std::vector< arma_cx_median_packet<T> > tmp_vec(X_n_cols); + + for(uword row=0; row<X_n_rows; ++row) + { + for(uword col=0; col<X_n_cols; ++col) + { + tmp_vec[col].val = std::abs(X.at(row,col)); + tmp_vec[col].index = col; + } + + uword index1; + uword index2; + op_median::direct_cx_median_index(index1, index2, tmp_vec); + + out[row] = op_mean::robust_mean( X.at(row,index1), X.at(row,index2) ); + } + } + } + + + +template<typename T1> +inline +typename T1::elem_type +op_median::median_vec + ( + const T1& X, + const typename arma_not_cx<typename T1::elem_type>::result* junk + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + typedef typename T1::elem_type eT; + + typedef typename Proxy<T1>::stored_type P_stored_type; + + const Proxy<T1> P(X); + + const uword n_elem = P.get_n_elem(); + + arma_debug_check( (n_elem == 0), "median(): given object has no elements" ); + + std::vector<eT> tmp_vec(n_elem); + + if(is_Mat<P_stored_type>::value == true) + { + const unwrap<P_stored_type> tmp(P.Q); + + const typename unwrap_check<P_stored_type>::stored_type& Y = tmp.M; + + arrayops::copy( &(tmp_vec[0]), Y.memptr(), n_elem ); + } + else + { + if(Proxy<T1>::prefer_at_accessor == false) + { + typedef typename Proxy<T1>::ea_type ea_type; + + ea_type A = P.get_ea(); + + for(uword i=0; i<n_elem; ++i) { tmp_vec[i] = A[i]; } + } + else + { + const uword n_rows = P.get_n_rows(); + const uword n_cols = P.get_n_cols(); + + if(n_cols == 1) + { + for(uword row=0; row < n_rows; ++row) { tmp_vec[row] = P.at(row,0); } + } + else + if(n_rows == 1) + { + for(uword col=0; col < n_cols; ++col) { tmp_vec[col] = P.at(0,col); } + } + else + { + arma_stop("op_median::median_vec(): expected a vector" ); + } + } + } + + return op_median::direct_median(tmp_vec); + } + + + +template<typename T1> +inline +typename T1::elem_type +op_median::median_vec + ( + const T1& X, + const typename arma_cx_only<typename T1::elem_type>::result* junk + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + typedef typename T1::elem_type eT; + typedef typename T1::pod_type T; + + const Proxy<T1> P(X); + + const uword n_elem = P.get_n_elem(); + + arma_debug_check( (n_elem == 0), "median(): given object has no elements" ); + + std::vector< arma_cx_median_packet<T> > tmp_vec(n_elem); + + if(Proxy<T1>::prefer_at_accessor == false) + { + typedef typename Proxy<T1>::ea_type ea_type; + + ea_type A = P.get_ea(); + + for(uword i=0; i<n_elem; ++i) + { + tmp_vec[i].val = std::abs( A[i] ); + tmp_vec[i].index = i; + } + + uword index1; + uword index2; + op_median::direct_cx_median_index(index1, index2, tmp_vec); + + return op_mean::robust_mean( A[index1], A[index2] ); + } + else + { + const uword n_rows = P.get_n_rows(); + const uword n_cols = P.get_n_cols(); + + if(n_cols == 1) + { + for(uword row=0; row < n_rows; ++row) + { + tmp_vec[row].val = std::abs( P.at(row,0) ); + tmp_vec[row].index = row; + } + + uword index1; + uword index2; + op_median::direct_cx_median_index(index1, index2, tmp_vec); + + return op_mean::robust_mean( P.at(index1,0), P.at(index2,0) ); + } + else + if(n_rows == 1) + { + for(uword col=0; col < n_cols; ++col) + { + tmp_vec[col].val = std::abs( P.at(0,col) ); + tmp_vec[col].index = col; + } + + uword index1; + uword index2; + op_median::direct_cx_median_index(index1, index2, tmp_vec); + + return op_mean::robust_mean( P.at(0,index1), P.at(0,index2) ); + } + else + { + arma_stop("op_median::median_vec(): expected a vector" ); + + return eT(0); + } + } + } + + + +//! find the median value of a std::vector (contents is modified) +template<typename eT> +inline +eT +op_median::direct_median(std::vector<eT>& X) + { + arma_extra_debug_sigprint(); + + const uword n_elem = uword(X.size()); + const uword half = n_elem/2; + + std::nth_element(X.begin(), X.begin() + half, X.end()); + + if((n_elem % 2) == 0) + { + return op_mean::robust_mean(*(std::max_element(X.begin(), X.begin() + half)), X[half]); + } + else + { + return X[half]; + } + } + + + +template<typename T> +inline +void +op_median::direct_cx_median_index + ( + uword& out_index1, + uword& out_index2, + std::vector< arma_cx_median_packet<T> >& X + ) + { + arma_extra_debug_sigprint(); + + const uword n_elem = uword(X.size()); + const uword half = n_elem/2; + + std::nth_element(X.begin(), X.begin() + half, X.end()); + + if((n_elem % 2) == 0) + { + out_index1 = std::max_element(X.begin(), X.begin() + half)->index; + out_index2 = X[half].index; + } + else + { + out_index1 = X[half].index; + out_index2 = out_index1; + } + } + + + +//! @} +