darknet.h File Reference

#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <pthread.h>

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Classes
struct	metadata
struct	tree
struct	update_args
struct	layer
struct	network
struct	augment_args
struct	image
struct	box
struct	detection
struct	matrix
struct	data
struct	load_args
struct	box_label
struct	node
struct	list

Macros
#define	SECRET_NUM   -1234

Typedefs
typedef struct network	network
typedef struct layer	layer
typedef struct detection	detection
typedef struct matrix	matrix
typedef struct load_args	load_args
typedef struct node	node
typedef struct list	list

Enumerations
enum	ACTIVATION {   LOGISTIC, RELU, RELIE, LINEAR,   RAMP, TANH, PLSE, LEAKY,   ELU, LOGGY, STAIR, HARDTAN,   LHTAN, SELU }
enum	BINARY_ACTIVATION { MULT, ADD, SUB, DIV }
enum	LAYER_TYPE {   CONVOLUTIONAL, DECONVOLUTIONAL, CONNECTED, MAXPOOL,   SOFTMAX, DETECTION, DROPOUT, CROP,   ROUTE, COST, NORMALIZATION, AVGPOOL,   LOCAL, SHORTCUT, ACTIVE, RNN,   GRU, LSTM, CRNN, BATCHNORM,   NETWORK, XNOR, REGION, YOLO,   ISEG, REORG, UPSAMPLE, LOGXENT,   L2NORM, BLANK }
enum	COST_TYPE {   SSE, MASKED, L1, SEG,   SMOOTH, WGAN }
enum	learning_rate_policy {   CONSTANT, STEP, EXP, POLY,   STEPS, SIG, RANDOM }
enum	data_type {   CLASSIFICATION_DATA, DETECTION_DATA, CAPTCHA_DATA, REGION_DATA,   IMAGE_DATA, COMPARE_DATA, WRITING_DATA, SWAG_DATA,   TAG_DATA, OLD_CLASSIFICATION_DATA, STUDY_DATA, DET_DATA,   SUPER_DATA, LETTERBOX_DATA, REGRESSION_DATA, SEGMENTATION_DATA,   INSTANCE_DATA, ISEG_DATA }

Functions
metadata	get_metadata (char *file)
tree *	read_tree (char *filename)
void	free_layer (layer)
network *	load_network (char *cfg, char *weights, int clear)
load_args	get_base_args (network *net)
void	free_data (data d)
pthread_t	load_data (load_args args)
list *	read_data_cfg (char *filename)
list *	read_cfg (char *filename)
unsigned char *	read_file (char *filename)
data	resize_data (data orig, int w, int h)
data *	tile_data (data orig, int divs, int size)
data	select_data (data *orig, int *inds)
void	forward_network (network *net)
void	backward_network (network *net)
void	update_network (network *net)
float	dot_cpu (int N, float *X, int INCX, float *Y, int INCY)
void	axpy_cpu (int N, float ALPHA, float *X, int INCX, float *Y, int INCY)
void	copy_cpu (int N, float *X, int INCX, float *Y, int INCY)
void	scal_cpu (int N, float ALPHA, float *X, int INCX)
void	fill_cpu (int N, float ALPHA, float *X, int INCX)
void	normalize_cpu (float *x, float *mean, float *variance, int batch, int filters, int spatial)
void	softmax (float *input, int n, float temp, int stride, float *output)
int	best_3d_shift_r (image a, image b, int min, int max)
image	get_label (image **characters, char *string, int size)
void	draw_label (image a, int r, int c, image label, const float *rgb)
void	save_image_png (image im, const char *name)
void	get_next_batch (data d, int n, int offset, float *X, float *y)
void	grayscale_image_3c (image im)
void	normalize_image (image p)
void	matrix_to_csv (matrix m)
float	train_network_sgd (network *net, data d, int n)
void	rgbgr_image (image im)
data	copy_data (data d)
data	concat_data (data d1, data d2)
data	load_cifar10_data (char *filename)
float	matrix_topk_accuracy (matrix truth, matrix guess, int k)
void	matrix_add_matrix (matrix from, matrix to)
void	scale_matrix (matrix m, float scale)
matrix	csv_to_matrix (char *filename)
float *	network_accuracies (network *net, data d, int n)
float	train_network_datum (network *net)
image	make_random_image (int w, int h, int c)
void	denormalize_connected_layer (layer l)
void	denormalize_convolutional_layer (layer l)
void	statistics_connected_layer (layer l)
void	rescale_weights (layer l, float scale, float trans)
void	rgbgr_weights (layer l)
image *	get_weights (layer l)
void	demo (char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, int classes, int frame_skip, char *prefix, int avg, float hier_thresh, int w, int h, int fps, int fullscreen)
void	get_detection_detections (layer l, int w, int h, float thresh, detection *dets)
char *	option_find_str (list *l, char *key, char *def)
int	option_find_int (list *l, char *key, int def)
int	option_find_int_quiet (list *l, char *key, int def)
network *	parse_network_cfg (char *filename)
void	save_weights (network *net, char *filename)
void	load_weights (network *net, char *filename)
void	save_weights_upto (network *net, char *filename, int cutoff)
void	load_weights_upto (network *net, char *filename, int start, int cutoff)
void	zero_objectness (layer l)
void	get_region_detections (layer l, int w, int h, int netw, int neth, float thresh, int *map, float tree_thresh, int relative, detection *dets)
int	get_yolo_detections (layer l, int w, int h, int netw, int neth, float thresh, int *map, int relative, detection *dets)
void	free_network (network *net)
void	set_batch_network (network *net, int b)
void	set_temp_network (network *net, float t)
image	load_image (char *filename, int w, int h, int c)
image	load_image_color (char *filename, int w, int h)
image	make_image (int w, int h, int c)
image	resize_image (image im, int w, int h)
void	censor_image (image im, int dx, int dy, int w, int h)
image	letterbox_image (image im, int w, int h)
image	crop_image (image im, int dx, int dy, int w, int h)
image	center_crop_image (image im, int w, int h)
image	resize_min (image im, int min)
image	resize_max (image im, int max)
image	threshold_image (image im, float thresh)
image	mask_to_rgb (image mask)
int	resize_network (network *net, int w, int h)
void	free_matrix (matrix m)
void	test_resize (char *filename)
void	save_image (image p, const char *name)
int	show_image (image p, const char *name, int ms)
image	copy_image (image p)
void	draw_box_width (image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)
float	get_current_rate (network *net)
void	composite_3d (char *f1, char *f2, char *out, int delta)
data	load_data_old (char **paths, int n, int m, char **labels, int k, int w, int h)
size_t	get_current_batch (network *net)
void	constrain_image (image im)
image	get_network_image_layer (network *net, int i)
layer	get_network_output_layer (network *net)
void	top_predictions (network *net, int n, int *index)
void	flip_image (image a)
image	float_to_image (int w, int h, int c, float *data)
void	ghost_image (image source, image dest, int dx, int dy)
float	network_accuracy (network *net, data d)
void	random_distort_image (image im, float hue, float saturation, float exposure)
void	fill_image (image m, float s)
image	grayscale_image (image im)
void	rotate_image_cw (image im, int times)
double	what_time_is_it_now ()
image	rotate_image (image m, float rad)
void	visualize_network (network *net)
float	box_iou (box a, box b)
data	load_all_cifar10 ()
box_label *	read_boxes (char *filename, int *n)
box	float_to_box (float *f, int stride)
void	draw_detections (image im, detection *dets, int num, float thresh, char **names, image **alphabet, int classes)
matrix	network_predict_data (network *net, data test)
image **	load_alphabet ()
image	get_network_image (network *net)
float *	network_predict (network *net, float *input)
int	network_width (network *net)
int	network_height (network *net)
float *	network_predict_image (network *net, image im)
void	network_detect (network *net, image im, float thresh, float hier_thresh, float nms, detection *dets)
detection *	get_network_boxes (network *net, int w, int h, float thresh, float hier, int *map, int relative, int *num)
void	free_detections (detection *dets, int n)
void	reset_network_state (network *net, int b)
char **	get_labels (char *filename)
void	do_nms_obj (detection *dets, int total, int classes, float thresh)
void	do_nms_sort (detection *dets, int total, int classes, float thresh)
matrix	make_matrix (int rows, int cols)
void	free_image (image m)
float	train_network (network *net, data d)
pthread_t	load_data_in_thread (load_args args)
void	load_data_blocking (load_args args)
list *	get_paths (char *filename)
void	hierarchy_predictions (float *predictions, int n, tree *hier, int only_leaves, int stride)
void	change_leaves (tree *t, char *leaf_list)
int	find_int_arg (int argc, char **argv, char *arg, int def)
float	find_float_arg (int argc, char **argv, char *arg, float def)
int	find_arg (int argc, char *argv[], char *arg)
char *	find_char_arg (int argc, char **argv, char *arg, char *def)
char *	basecfg (char *cfgfile)
void	find_replace (char *str, char *orig, char *rep, char *output)
void	free_ptrs (void **ptrs, int n)
char *	fgetl (FILE *fp)
void	strip (char *s)
float	sec (clock_t clocks)
void **	list_to_array (list *l)
void	top_k (float *a, int n, int k, int *index)
int *	read_map (char *filename)
void	error (const char *s)
int	max_index (float *a, int n)
int	max_int_index (int *a, int n)
int	sample_array (float *a, int n)
int *	random_index_order (int min, int max)
void	free_list (list *l)
float	mse_array (float *a, int n)
float	variance_array (float *a, int n)
float	mag_array (float *a, int n)
void	scale_array (float *a, int n, float s)
float	mean_array (float *a, int n)
float	sum_array (float *a, int n)
void	normalize_array (float *a, int n)
int *	read_intlist (char *s, int *n, int d)
size_t	rand_size_t ()
float	rand_normal ()
float	rand_uniform (float min, float max)

Variables
int	gpu_index

Macro Definition Documentation

SECRET_NUM

#define SECRET_NUM   -1234

Definition at line 8 of file darknet.h.

Typedef Documentation

detection

typedef struct detection detection

layer

typedef struct layer layer

Definition at line 117 of file darknet.h.

list

typedef struct list list

load_args

typedef struct load_args load_args

matrix

typedef struct matrix matrix

network

typedef struct network network

Definition at line 114 of file darknet.h.

node

typedef struct node node

Enumeration Type Documentation

ACTIVATION

enum ACTIVATION

Enumerator
LOGISTIC
RELU
RELIE
LINEAR
RAMP
TANH
PLSE
LEAKY
ELU
LOGGY
STAIR
HARDTAN
LHTAN
SELU

Definition at line 56 of file darknet.h.

BINARY_ACTIVATION

enum BINARY_ACTIVATION

Enumerator
MULT
ADD
SUB
DIV

Definition at line 60 of file darknet.h.

COST_TYPE

enum COST_TYPE

Enumerator
SSE
MASKED
L1
SEG
SMOOTH
WGAN

Definition at line 97 of file darknet.h.

data_type

enum data_type

Enumerator
CLASSIFICATION_DATA
DETECTION_DATA
CAPTCHA_DATA
REGION_DATA
IMAGE_DATA
COMPARE_DATA
WRITING_DATA
SWAG_DATA
TAG_DATA
OLD_CLASSIFICATION_DATA
STUDY_DATA
DET_DATA
SUPER_DATA
LETTERBOX_DATA
REGRESSION_DATA
SEGMENTATION_DATA
INSTANCE_DATA
ISEG_DATA

Definition at line 547 of file darknet.h.

LAYER_TYPE

enum LAYER_TYPE

Enumerator
CONVOLUTIONAL
DECONVOLUTIONAL
CONNECTED
MAXPOOL
SOFTMAX
DETECTION
DROPOUT
CROP
ROUTE
COST
NORMALIZATION
AVGPOOL
LOCAL
SHORTCUT
ACTIVE
RNN
GRU
LSTM
CRNN
BATCHNORM
NETWORK
XNOR
REGION
YOLO
ISEG
REORG
UPSAMPLE
LOGXENT
L2NORM
BLANK

Definition at line 64 of file darknet.h.

learning_rate_policy

enum learning_rate_policy

Enumerator
CONSTANT
STEP
EXP
POLY
STEPS
SIG
RANDOM

Definition at line 430 of file darknet.h.

Function Documentation

axpy_cpu()

void axpy_cpu	(	int	N,
		float	ALPHA,
		float *	X,
		int	INCX,
		float *	Y,
		int	INCY
	)

Definition at line 178 of file blas.c.

backward_network()

void backward_network

(

network *

net

)

Definition at line 263 of file network.c.

basecfg()

char* basecfg

(

char *

cfgfile

)

Definition at line 179 of file utils.c.

best_3d_shift_r()

int best_3d_shift_r	(	image	a,
		image	b,
		int	min,
		int	max
	)

Definition at line 881 of file image.c.

box_iou()

float box_iou	(	box	a,
		box	b
	)

Definition at line 179 of file box.c.

censor_image()

void censor_image	(	image	im,
		int	dx,
		int	dy,
		int	w,
		int	h
	)

Definition at line 411 of file image.c.

center_crop_image()

image center_crop_image	(	image	im,
		int	w,
		int	h
	)

Definition at line 796 of file image.c.

change_leaves()

void change_leaves	(	tree *	t,
		char *	leaf_list
	)

Definition at line 7 of file tree.c.

composite_3d()

void composite_3d	(	char *	f1,
		char *	f2,
		char *	out,
		int	delta
	)

Definition at line 913 of file image.c.

concat_data()

data concat_data	(	data	d1,
		data	d2
	)

Definition at line 1382 of file data.c.

constrain_image()

void constrain_image

(

image

im

)

Definition at line 456 of file image.c.

copy_cpu()

void copy_cpu	(	int	N,
		float *	X,
		int	INCX,
		float *	Y,
		int	INCY
	)

Definition at line 226 of file blas.c.

copy_data()

data copy_data

(

data

d

)

Definition at line 1592 of file data.c.

copy_image()

image copy_image

(

image

p

)

Definition at line 519 of file image.c.

crop_image()

image crop_image	(	image	im,
		int	dx,
		int	dy,
		int	w,
		int	h
	)

Definition at line 861 of file image.c.

csv_to_matrix()

matrix csv_to_matrix

(

char *

filename

)

Definition at line 133 of file matrix.c.

demo()

void demo	(	char *	cfgfile,
		char *	weightfile,
		float	thresh,
		int	cam_index,
		const char *	filename,
		char **	names,
		int	classes,
		int	frame_skip,
		char *	prefix,
		int	avg,
		float	hier_thresh,
		int	w,
		int	h,
		int	fps,
		int	fullscreen
	)

Definition at line 359 of file demo.c.

denormalize_connected_layer()

void denormalize_connected_layer

(

layer

l

)

Definition at line 199 of file connected_layer.c.

denormalize_convolutional_layer()

void denormalize_convolutional_layer

(

layer

l

)

Definition at line 330 of file convolutional_layer.c.

do_nms_obj()

void do_nms_obj	(	detection *	dets,
		int	total,
		int	classes,
		float	thresh
	)

Definition at line 21 of file box.c.

do_nms_sort()

void do_nms_sort	(	detection *	dets,
		int	total,
		int	classes,
		float	thresh
	)

Definition at line 58 of file box.c.

dot_cpu()

float dot_cpu	(	int	N,
		float *	X,
		int	INCX,
		float *	Y,
		int	INCY
	)

Definition at line 297 of file blas.c.

draw_box_width()

void draw_box_width	(	image	a,
		int	x1,
		int	y1,
		int	x2,
		int	y2,
		int	w,
		float	r,
		float	g,
		float	b
	)

Definition at line 202 of file image.c.

draw_detections()

void draw_detections	(	image	im,
		detection *	dets,
		int	num,
		float	thresh,
		char **	names,
		image **	alphabet,
		int	classes
	)

Definition at line 239 of file image.c.

draw_label()

void draw_label	(	image	a,
		int	r,
		int	c,
		image	label,
		const float *	rgb
	)

Definition at line 149 of file image.c.

error()

void error

(

const char *

s

)

Definition at line 253 of file utils.c.

fgetl()

char* fgetl

(

FILE *

fp

)

Definition at line 335 of file utils.c.

fill_cpu()

void fill_cpu	(	int	N,
		float	ALPHA,
		float *	X,
		int	INCX
	)

Definition at line 190 of file blas.c.

fill_image()

void fill_image	(	image	m,
		float	s
	)

Definition at line 843 of file image.c.

find_arg()

int find_arg	(	int	argc,
		char *	argv[],
		char *	arg
	)

Definition at line 120 of file utils.c.

find_char_arg()

char* find_char_arg	(	int	argc,
		char **	argv,
		char *	arg,
		char *	def
	)

Definition at line 163 of file utils.c.

find_float_arg()

float find_float_arg	(	int	argc,
		char **	argv,
		char *	arg,
		float	def
	)

Definition at line 148 of file utils.c.

find_int_arg()

int find_int_arg	(	int	argc,
		char **	argv,
		char *	arg,
		int	def
	)

Definition at line 133 of file utils.c.

find_replace()

void find_replace	(	char *	str,
		char *	orig,
		char *	rep,
		char *	output
	)

Definition at line 216 of file utils.c.

flip_image()

void flip_image

(

image

a

)

Definition at line 349 of file image.c.

float_to_box()

box float_to_box	(	float *	f,
		int	stride
	)

Definition at line 91 of file box.c.

float_to_image()

image float_to_image	(	int	w,
		int	h,
		int	c,
		float *	data
	)

Definition at line 774 of file image.c.

forward_network()

void forward_network

(

network *

net

)

Definition at line 188 of file network.c.

free_data()

void free_data

(

data

d

)

Definition at line 665 of file data.c.

free_detections()

void free_detections	(	detection *	dets,
		int	n
	)

Definition at line 569 of file network.c.

free_image()

void free_image

(

image

m

)

Definition at line 1614 of file image.c.

free_layer()

void free_layer

(

layer

)

Definition at line 6 of file layer.c.

free_list()

void free_list

(

list *

l

)

Definition at line 67 of file list.c.

free_matrix()

void free_matrix

(

matrix

m

)

Definition at line 10 of file matrix.c.

free_network()

void free_network

(

network *

net

)

Definition at line 716 of file network.c.

free_ptrs()

void free_ptrs	(	void **	ptrs,
		int	n
	)

Definition at line 328 of file utils.c.

get_base_args()

load_args get_base_args

(

network *

net

)

Definition at line 35 of file network.c.

get_current_batch()

size_t get_current_batch

(

network *

net

)

Definition at line 63 of file network.c.

get_current_rate()

float get_current_rate

(

network *

net

)

Definition at line 90 of file network.c.

get_detection_detections()

void get_detection_detections	(	layer	l,
		int	w,
		int	h,
		float	thresh,
		detection *	dets
	)

Definition at line 225 of file detection_layer.c.

get_label()

image get_label	(	image **	characters,
		char *	string,
		int	size
	)

Definition at line 132 of file image.c.

get_labels()

char** get_labels

(

char *

filename

)

Definition at line 657 of file data.c.

get_metadata()

metadata get_metadata

(

char *

file

)

Definition at line 35 of file option_list.c.

get_network_boxes()

detection* get_network_boxes	(	network *	net,
		int	w,
		int	h,
		float	thresh,
		float	hier,
		int *	map,
		int	relative,
		int *	num
	)

Definition at line 562 of file network.c.

get_network_image()

image get_network_image

(

network *

net

)

Definition at line 466 of file network.c.

get_network_image_layer()

image get_network_image_layer	(	network *	net,
		int	i
	)

Definition at line 453 of file network.c.

get_network_output_layer()

layer get_network_output_layer

(

network *

net

)

Definition at line 699 of file network.c.

get_next_batch()

void get_next_batch	(	data	d,
		int	n,
		int	offset,
		float *	X,
		float *	y
	)

Definition at line 1459 of file data.c.

get_paths()

list* get_paths

(

char *

filename

)

Definition at line 12 of file data.c.

get_region_detections()

void get_region_detections	(	layer	l,
		int	w,
		int	h,
		int	netw,
		int	neth,
		float	thresh,
		int *	map,
		float	tree_thresh,
		int	relative,
		detection *	dets
	)

Definition at line 364 of file region_layer.c.

get_weights()

image* get_weights

(

layer

l

)

Definition at line 591 of file convolutional_layer.c.

get_yolo_detections()

int get_yolo_detections	(	layer	l,
		int	w,
		int	h,
		int	netw,
		int	neth,
		float	thresh,
		int *	map,
		int	relative,
		detection *	dets
	)

Definition at line 316 of file yolo_layer.c.

ghost_image()

void ghost_image	(	image	source,
		image	dest,
		int	dx,
		int	dy
	)

Definition at line 380 of file image.c.

grayscale_image()

image grayscale_image

(

image

im

)

Definition at line 1212 of file image.c.

grayscale_image_3c()

void grayscale_image_3c

(

image

im

)

Definition at line 1194 of file image.c.

hierarchy_predictions()

void hierarchy_predictions	(	float *	predictions,
		int	n,
		tree *	hier,
		int	only_leaves,
		int	stride
	)

Definition at line 37 of file tree.c.

letterbox_image()

image letterbox_image	(	image	im,
		int	w,
		int	h
	)

Definition at line 964 of file image.c.

list_to_array()

void** list_to_array

(

list *

l

)

Definition at line 82 of file list.c.

load_all_cifar10()

data load_all_cifar10

(

)

Definition at line 1481 of file data.c.

load_alphabet()

image** load_alphabet

(

)

Definition at line 223 of file image.c.

load_cifar10_data()

data load_cifar10_data

(

char *

filename

)

Definition at line 1422 of file data.c.

load_data()

pthread_t load_data

(

load_args

args

)

Definition at line 1180 of file data.c.

load_data_blocking()

void load_data_blocking

(

load_args

args

)

Definition at line 1173 of file data.c.

load_data_in_thread()

pthread_t load_data_in_thread

(

load_args

args

)

Definition at line 1135 of file data.c.

load_data_old()

data load_data_old	(	char **	paths,
		int	n,
		int	m,
		char **	labels,
		int	k,
		int	w,
		int	h
	)

Definition at line 1204 of file data.c.

load_image()

image load_image	(	char *	filename,
		int	w,
		int	h,
		int	c
	)

Definition at line 1470 of file image.c.

load_image_color()

image load_image_color	(	char *	filename,
		int	w,
		int	h
	)

Definition at line 1486 of file image.c.

load_network()

network* load_network	(	char *	cfg,
		char *	weights,
		int	clear
	)

Definition at line 53 of file network.c.

load_weights()

void load_weights	(	network *	net,
		char *	filename
	)

Definition at line 1308 of file parser.c.

load_weights_upto()

void load_weights_upto	(	network *	net,
		char *	filename,
		int	start,
		int	cutoff
	)

Definition at line 1218 of file parser.c.

mag_array()

float mag_array	(	float *	a,
		int	n
	)

Definition at line 574 of file utils.c.

make_image()

image make_image	(	int	w,
		int	h,
		int	c
	)

Definition at line 756 of file image.c.

make_matrix()

matrix make_matrix	(	int	rows,
		int	cols
	)

Definition at line 91 of file matrix.c.

make_random_image()

image make_random_image	(	int	w,
		int	h,
		int	c
	)

Definition at line 763 of file image.c.

mask_to_rgb()

image mask_to_rgb

(

image

mask

)

Definition at line 28 of file image.c.

matrix_add_matrix()

void matrix_add_matrix	(	matrix	from,
		matrix	to
	)

Definition at line 66 of file matrix.c.

matrix_to_csv()

void matrix_to_csv

(

matrix

m

)

Definition at line 161 of file matrix.c.

matrix_topk_accuracy()

float matrix_topk_accuracy	(	matrix	truth,
		matrix	guess,
		int	k
	)

Definition at line 17 of file matrix.c.

max_index()

int max_index	(	float *	a,
		int	n
	)

Definition at line 619 of file utils.c.

max_int_index()

int max_int_index	(	int *	a,
		int	n
	)

Definition at line 605 of file utils.c.

mean_array()

float mean_array	(	float *	a,
		int	n
	)

Definition at line 487 of file utils.c.

mse_array()

float mse_array	(	float *	a,
		int	n
	)

Definition at line 546 of file utils.c.

network_accuracies()

float* network_accuracies	(	network *	net,
		data	d,
		int	n
	)

Definition at line 689 of file network.c.

network_accuracy()

float network_accuracy	(	network *	net,
		data	d
	)

Definition at line 681 of file network.c.

network_detect()

void network_detect	(	network *	net,
		image	im,
		float	thresh,
		float	hier_thresh,
		float	nms,
		detection *	dets
	)

network_height()

int network_height

(

network *

net

)

Definition at line 589 of file network.c.

network_predict()

float* network_predict	(	network *	net,
		float *	input
	)

Definition at line 497 of file network.c.

network_predict_data()

matrix network_predict_data	(	network *	net,
		data	test
	)

Definition at line 616 of file network.c.

network_predict_image()

float* network_predict_image	(	network *	net,
		image	im
	)

Definition at line 579 of file network.c.

network_width()

int network_width

(

network *

net

)

Definition at line 588 of file network.c.

normalize_array()

void normalize_array	(	float *	a,
		int	n
	)

Definition at line 554 of file utils.c.

normalize_cpu()

void normalize_cpu	(	float *	x,
		float *	mean,
		float *	variance,
		int	batch,
		int	filters,
		int	spatial
	)

Definition at line 147 of file blas.c.

normalize_image()

void normalize_image

(

image

p

)

Definition at line 465 of file image.c.

option_find_int()

int option_find_int	(	list *	l,
		char *	key,
		int	def
	)

Definition at line 112 of file option_list.c.

option_find_int_quiet()

int option_find_int_quiet	(	list *	l,
		char *	key,
		int	def
	)

Definition at line 120 of file option_list.c.

option_find_str()

char* option_find_str	(	list *	l,
		char *	key,
		char *	def
	)

Definition at line 104 of file option_list.c.

parse_network_cfg()

network* parse_network_cfg

(

char *

filename

)

Definition at line 742 of file parser.c.

rand_normal()

float rand_normal

(

)

Definition at line 654 of file utils.c.

rand_size_t()

size_t rand_size_t

(

)

Definition at line 686 of file utils.c.

rand_uniform()

float rand_uniform	(	float	min,
		float	max
	)

Definition at line 698 of file utils.c.

random_distort_image()

void random_distort_image	(	image	im,
		float	hue,
		float	saturation,
		float	exposure
	)

Definition at line 1334 of file image.c.

random_index_order()

int* random_index_order	(	int	min,
		int	max
	)

Definition at line 97 of file utils.c.

read_boxes()

box_label* read_boxes	(	char *	filename,
		int *	n
	)

Definition at line 139 of file data.c.

read_cfg()

list * read_cfg

(

char *

filename

)

Definition at line 891 of file parser.c.

read_data_cfg()

list* read_data_cfg

(

char *

filename

)

Definition at line 7 of file option_list.c.

read_file()

unsigned char* read_file

(

char *

filename

)

Definition at line 260 of file utils.c.

read_intlist()

int* read_intlist	(	char *	s,
		int *	n,
		int	d
	)

Definition at line 36 of file utils.c.

read_map()

int* read_map

(

char *

filename

)

Definition at line 59 of file utils.c.

read_tree()

tree* read_tree

(

char *

filename

)

Definition at line 83 of file tree.c.

rescale_weights()

void rescale_weights	(	layer	l,
		float	scale,
		float	trans
	)

Definition at line 578 of file convolutional_layer.c.

reset_network_state()

void reset_network_state	(	network *	net,
		int	b
	)

Definition at line 69 of file network.c.

resize_data()

data resize_data	(	data	orig,
		int	w,
		int	h
	)

Definition at line 1320 of file data.c.

resize_image()

image resize_image	(	image	im,
		int	w,
		int	h
	)

Definition at line 1351 of file image.c.

resize_max()

image resize_max	(	image	im,
		int	max
	)

Definition at line 985 of file image.c.

resize_min()

image resize_min	(	image	im,
		int	min
	)

Definition at line 1001 of file image.c.

resize_network()

int resize_network	(	network *	net,
		int	w,
		int	h
	)

Definition at line 358 of file network.c.

rgbgr_image()

void rgbgr_image

(

image

im

)

Definition at line 527 of file image.c.

rgbgr_weights()

void rgbgr_weights

(

layer

l

)

Definition at line 567 of file convolutional_layer.c.

rotate_image()

image rotate_image	(	image	m,
		float	rad
	)

Definition at line 824 of file image.c.

rotate_image_cw()

void rotate_image_cw	(	image	im,
		int	times
	)

Definition at line 328 of file image.c.

sample_array()

int sample_array	(	float *	a,
		int	n
	)

Definition at line 592 of file utils.c.

save_image()

void save_image	(	image	p,
		const char *	name
	)

Definition at line 717 of file image.c.

save_image_png()

void save_image_png	(	image	im,
		const char *	name
	)

Definition at line 700 of file image.c.

save_weights()

void save_weights	(	network *	net,
		char *	filename
	)

Definition at line 1080 of file parser.c.

save_weights_upto()

void save_weights_upto	(	network *	net,
		char *	filename,
		int	cutoff
	)

Definition at line 1007 of file parser.c.

scal_cpu()

void scal_cpu	(	int	N,
		float	ALPHA,
		float *	X,
		int	INCX
	)

Definition at line 184 of file blas.c.

scale_array()

void scale_array	(	float *	a,
		int	n,
		float	s
	)

Definition at line 584 of file utils.c.

scale_matrix()

void scale_matrix	(	matrix	m,
		float	scale
	)

Definition at line 37 of file matrix.c.

sec()

float sec

(

clock_t

clocks

)

Definition at line 232 of file utils.c.

select_data()

data select_data	(	data *	orig,
		int *	inds
	)

Definition at line 1270 of file data.c.

set_batch_network()

void set_batch_network	(	network *	net,
		int	b
	)

Definition at line 339 of file network.c.

set_temp_network()

void set_temp_network	(	network *	net,
		float	t
	)

Definition at line 330 of file network.c.

show_image()

int show_image	(	image	p,
		const char *	name,
		int	ms
	)

Definition at line 575 of file image.c.

softmax()

void softmax	(	float *	input,
		int	n,
		float	temp,
		int	stride,
		float *	output
	)

Definition at line 305 of file blas.c.

statistics_connected_layer()

void statistics_connected_layer

(

layer

l

)

Definition at line 215 of file connected_layer.c.

strip()

void strip

(

char *

s

)

Definition at line 302 of file utils.c.

sum_array()

float sum_array	(	float *	a,
		int	n
	)

Definition at line 479 of file utils.c.

test_resize()

void test_resize

(

char *

filename

)

Definition at line 1396 of file image.c.

threshold_image()

image threshold_image	(	image	im,
		float	thresh
	)

Definition at line 1228 of file image.c.

tile_data()

data* tile_data	(	data	orig,
		int	divs,
		int	size
	)

Definition at line 1293 of file data.c.

top_k()

void top_k	(	float *	a,
		int	n,
		int	k,
		int *	index
	)

Definition at line 237 of file utils.c.

top_predictions()

void top_predictions	(	network *	net,
		int	n,
		int *	index
	)

Definition at line 491 of file network.c.

train_network()

float train_network	(	network *	net,
		data	d
	)

Definition at line 314 of file network.c.

train_network_datum()

float train_network_datum

(

network *

net

)

Definition at line 289 of file network.c.

train_network_sgd()

float train_network_sgd	(	network *	net,
		data	d,
		int	n
	)

Definition at line 300 of file network.c.

update_network()

void update_network

(

network *

net

)

Definition at line 213 of file network.c.

variance_array()

float variance_array	(	float *	a,
		int	n
	)

Definition at line 514 of file utils.c.

visualize_network()

void visualize_network

(

network *

net

)

Definition at line 477 of file network.c.

what_time_is_it_now()

double what_time_is_it_now

(

)

Definition at line 27 of file utils.c.

zero_objectness()

void zero_objectness

(

layer

l

)

Definition at line 497 of file region_layer.c.

Variable Documentation

gpu_index

int gpu_index

Definition at line 1 of file cuda.c.