external/matrix_utils.h File Reference

#include <iostream>
#include <iomanip>
#include <sstream>
#include <string>
#include <vector>
#include <cfloat>
#include <algorithm>
#include <numeric>
#include <stdint.h>
#include <boost/numeric/ublas/matrix.hpp>

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Classes
struct	ms_summary
struct	Abs< T >
	Template class for generic, type-inferred absolute value. More...
Functions
bool	isDivisibleBy2 (size_t n, int level)
	True if and only if n is divisible by 2 <level> times.
template<class Matrix >
bool	in_bounds (const Matrix &mat, size_t row, size_t col)
bool	read_matrix (const char *filename, boost::numeric::ublas::matrix< double > &mat)
template<class Matrix >
void	output (const Matrix &mat, std::ostream &out=std::cout)
template<class Matrix >
ms_summary	get_summary (const Matrix &orig, const Matrix &repro, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<class Matrix >
double	rmse (const Matrix &orig, const Matrix &repro, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<class Matrix >
double	nrmse (const Matrix &orig, const Matrix &repro, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
	Normalized rms error.
template<class Matrix >
double	psnr (const Matrix &orig, const Matrix &repro)
	Peak Signal to Noise Ratio.
template<class Matrix >
double	similarity (const Matrix &orig, const Matrix &repro)
	Similarity (NRMSE defined to be symmetric, with max and min taken from both matrices)
template<class Matrix >
void	standardize (Matrix &mat)
template<typename T >
T	abs_val (T num)
	Generic, type-inferred absolute value function.
template<class Matrix >
Matrix::value_type	sum (const Matrix &mat, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<class Matrix >
double	mean_val (const Matrix &mat, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<class Matrix >
Matrix::value_type	max_val (const Matrix &mat, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<class Matrix >
Matrix::value_type	min_val (const Matrix &mat, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<class Matrix >
Matrix::value_type	abs_max_val (const Matrix &mat, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<class Matrix , typename V >
void	set_all (const Matrix &mat, V value, size_t row_start=0, size_t row_end=std::numeric_limits< size_t >::max(), size_t col_start=0, size_t col_end=std::numeric_limits< size_t >::max())
template<typename Iterator1 , typename Iterator2 >
double	manhattan_distance (Iterator1 first1, Iterator1 last1, Iterator2 first2)
template<typename Iterator1 , typename Iterator2 >
double	euclidean_distance (Iterator1 first1, Iterator1 last1, Iterator2 first2)
template<class Matrix >
double	interp_bilinear (const Matrix &mat, double x, double y)
	Interpolates a value for point (x,y) based on values in the Matrix.

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Function Documentation

Matrix::value_type abs_max_val	(	const Matrix &	mat,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 265 of file matrix_utils.h.

T abs_val

(

T

num )

Generic, type-inferred absolute value function.

Applies fabs to doubles, labs to longs, etc.

Definition at line 188 of file matrix_utils.h.

double euclidean_distance	(	Iterator1	first1,
		Iterator1	last1,
		Iterator2	first2
	)

Definition at line 313 of file matrix_utils.h.

ms_summary get_summary	(	const Matrix &	orig,
		const Matrix &	repro,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 62 of file matrix_utils.h.

bool in_bounds	(	const Matrix &	mat,
		size_t	row,
		size_t	col
	)

Definition at line 21 of file matrix_utils.h.

double interp_bilinear	(	const Matrix &	mat,
		double	x,
		double	y
	)

Interpolates a value for point (x,y) based on values in the Matrix.

Finds the nearest values by taking floor and ceil of x and y, then uses bilinear interpolation to estimate the value at (x,y).

Definition at line 331 of file matrix_utils.h.

bool isDivisibleBy2	(	size_t	n,
		int	level
	)

True if and only if n is divisible by 2 <level> times.

double manhattan_distance	(	Iterator1	first1,
		Iterator1	last1,
		Iterator2	first2
	)

Definition at line 299 of file matrix_utils.h.

Matrix::value_type max_val	(	const Matrix &	mat,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 228 of file matrix_utils.h.

double mean_val	(	const Matrix &	mat,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 213 of file matrix_utils.h.

Matrix::value_type min_val	(	const Matrix &	mat,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 247 of file matrix_utils.h.

double nrmse	(	const Matrix &	orig,
		const Matrix &	repro,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Normalized rms error.

Definition at line 110 of file matrix_utils.h.

void output	(	const Matrix &	mat,
		std::ostream &	out = std::cout
	)

Definition at line 30 of file matrix_utils.h.

double psnr	(	const Matrix &	orig,
		const Matrix &	repro
	)

Peak Signal to Noise Ratio.

Definition at line 129 of file matrix_utils.h.

bool read_matrix	(	const char *	filename,
		boost::numeric::ublas::matrix< double > &	mat
	)

double rmse	(	const Matrix &	orig,
		const Matrix &	repro,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 92 of file matrix_utils.h.

void set_all	(	const Matrix &	mat,
		V	value,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 283 of file matrix_utils.h.

double similarity	(	const Matrix &	orig,
		const Matrix &	repro
	)

Similarity (NRMSE defined to be symmetric, with max and min taken from both matrices)

Definition at line 141 of file matrix_utils.h.

void standardize

(

Matrix &

mat )

Definition at line 152 of file matrix_utils.h.

Matrix::value_type sum	(	const Matrix &	mat,
		size_t	row_start = 0,
		size_t	row_end = std::numeric_limits<size_t>::max(),
		size_t	col_start = 0,
		size_t	col_end = std::numeric_limits<size_t>::max()
	)

Definition at line 195 of file matrix_utils.h.