vot Namespace Reference

namespace vot contains libvot functions and classes. More...

Classes
class	GlobalParam
	global parameters More...
class	ImageCount
	This class contains a index for an image and a count for image. More...
class	ImageGraph
	Image graph class. More...
struct	ImageNode
	the image node used in image graph class More...
struct	LinkEdge
	edge struct used in image graph class More...
class	TreeInNode
	The interior node class of the tree. More...
class	TreeLeafNode
	The leaf node class of the tree. More...
class	TreeNode
	The virtual class of tree node. More...
class	VocabTree
	The vocabulary tree class. The depth of the root is 0. The depth of the leaf nodes is depth+1. More...

Enumerations
enum	LIBVOT_FEATURE_TYPE { OPENCV_SIFT = 0, VLFEAT_SIFT = 1 }
	feature type used in libvot_feature More...
enum	SiftType { E3D_SIFT = 0, OPENMVG_FEAT = 1 }
	sift feature type used in vocabulary tree More...
enum	DistanceType { L1 = 1, L2 = 2 }

Functions
void	showi (int i)
void	showd (double d)
void	showf (float f)
void	shows (std::string s)
void	showf (double f)
void	MultiRecursiveBuild (TreeNode *children, size_t num_keys, int dim, int depth, int depth_curr, int bf, DTYPE **p, double *means, int *assign, int sub_thread_num)
void	MultiAddImage (TreeNode *root, float *scores, DTYPE *v, size_t image_index, int num_feature, int branch_num, int dim, bool add)
std::vector< size_t >	RandomSample (size_t total, size_t sample_num)
bool	BuildVocabTree (const char *sift_list, const char *output_filename, int depth=6, int branch_num=8, SiftType sift_type=E3D_SIFT, int thread_num=1)
	BuildVocabTree: build a vocabulary tree using a set of sift files. More...
bool	BuildImageDatabase (const char *sift_list, const char *input_tree, const char *output_filename, SiftType sift_type=E3D_SIFT, size_t start_id=0, int thread_num=1)
	BuildImageDatabase: build a image database with pre-trained vocabulary tree. More...
void	MultiQueryDatabase (vot::VocabTree *tree, std::vector< std::string > *sift_filenames, int sift_type, size_t first_index, size_t num_images, float *scores, size_t *indexed_scores, FILE *match_file, std::mutex *match_file_mutex)
bool	QueryDatabase (const char *image_db, const char *query_sift_list, const char *match_output, SiftType sift_type=E3D_SIFT, int thread_num=1)
	QueryDatabase: query the image database with a sift list file. More...
bool	FilterMatchList (const char *sift_list, const char *match_list, const char *output, size_t num_matches)
	FilterMatchList: filter output match file and output TOP-k rank lists. More...

Variables
size_t	leaves_count = 0

Detailed Description

namespace vot contains libvot functions and classes.

Enumeration Type Documentation

enum vot::DistanceType

Enumerator
L1
L2

enum vot::LIBVOT_FEATURE_TYPE

feature type used in libvot_feature

Enumerator
OPENCV_SIFT	opencv sift feature type
VLFEAT_SIFT	vlfeat sift feature type

enum vot::SiftType

sift feature type used in vocabulary tree

Enumerator
E3D_SIFT	the standard internal sift data structure of libvot
OPENMVG_FEAT	the sift data structure used in openmvg

Function Documentation

bool vot::BuildImageDatabase	(	const char *	sift_list,
		const char *	input_tree,
		const char *	output_filename,
		SiftType	sift_type = E3D_SIFT,
		size_t	start_id = 0,
		int	thread_num = 1
	)

BuildImageDatabase: build a image database with pre-trained vocabulary tree.

Parameters

sift_list	the file path of the sift list
input_tree	the file path of the tree file
output_filename	the file path of the output image database
sift_type	feature type
start_id	start id for the images, if not built from new (append)
thread_num	thread number for multi-thread processing

Returns

true if success

bool vot::BuildVocabTree	(	const char *	sift_list,
		const char *	output_filename,
		int	depth = 6,
		int	branch_num = 8,
		SiftType	sift_type = E3D_SIFT,
		int	thread_num = 1
	)

BuildVocabTree: build a vocabulary tree using a set of sift files.

Parameters

sift_list	the file path of the sift list
output_filename	the file path of the output tree file
depth	depth of the vocabulary tree
branch_num	branch number
sift_type	feature type
thread_num	thread number for multi-thread processing

Returns

true if success

bool vot::FilterMatchList	(	const char *	sift_list,
		const char *	match_list,
		const char *	output,
		size_t	num_matches
	)

FilterMatchList: filter output match file and output TOP-k rank lists.

Parameters

sift_list	the file path of the sift list
match_list	the file path of the output match file
output	the output top-k matched pairs
num_matches	the number top-k images

Returns

true if success

void vot::MultiAddImage	(	TreeNode *	root,
		float *	scores,
		DTYPE *	v,
		size_t	image_index,
		int	num_feature,
		int	branch_num,
		int	dim,
		bool	add
	)

void vot::MultiQueryDatabase	(	vot::VocabTree *	tree,
		std::vector< std::string > *	sift_filenames,
		int	sift_type,
		size_t	first_index,
		size_t	num_images,
		float *	scores,
		size_t *	indexed_scores,
		FILE *	match_file,
		std::mutex *	match_file_mutex
	)

void vot::MultiRecursiveBuild	(	TreeNode *	children,
		size_t	num_keys,
		int	dim,
		int	depth,
		int	depth_curr,
		int	bf,
		DTYPE **	p,
		double *	means,
		int *	assign,
		int	sub_thread_num
	)

bool vot::QueryDatabase	(	const char *	image_db,
		const char *	query_sift_list,
		const char *	match_output,
		SiftType	sift_type = E3D_SIFT,
		int	thread_num = 1
	)

QueryDatabase: query the image database with a sift list file.

Parameters

image_db	the file path of the input image database
query_sift_list	the file path of the query sift list file
match_output	the rank list output
sift_type	feature type
thread_num	thread number for multi-thread processing

Returns

true if success

std::vector<size_t> vot::RandomSample	(	size_t	total,
		size_t	sample_num
	)

Random sample "sample_num" number of numbers from [0, 1, ... , total] (total >= sample_num)

void vot::showd

(

double

d

)

void vot::showf

(

float

f

)

void vot::showf

(

double

f

)

void vot::showi

(

int

i

)

void vot::shows

(

std::string

s

)

Variable Documentation

size_t vot::leaves_count = 0