darknet_internal.hpp File Reference

Classes
struct	box_label
struct	boxabs
struct	contrastive_params
struct	Darknet::Output_Object
	This is used to help keep some state between calls to functions fill_network_boxes(), get_yolo_detections(), etc. More...
struct	data
struct	det_num_pair
struct	dxrep
struct	ious
struct	load_args
	Used when a secondary thread is created to load things, such as images. More...
struct	matrix
struct	update_args

Namespaces
namespace	Darknet
	The namespace for the C++ Darknet API.

Macros
#define	DARKNET_INCLUDE_ORIGINAL_API
	If you're using some old software that expects the original C API in the Darknet library, then make sure you "#define DARKNET_INCLUDE_ORIGINAL_API" before you include darknet.h.
#define	SECRET_NUM   -1234

Typedefs
typedef struct box_label	box_label
typedef struct boxabs	boxabs
typedef struct contrastive_params	contrastive_params
typedef struct data	data
typedef struct det_num_pair	det_num_pair
typedef struct dxrep	dxrep
typedef struct ious	ious
typedef struct load_args	load_args
	Used when a secondary thread is created to load things, such as images.
typedef struct matrix	matrix
using	Darknet::Output_Object_Cache = std::list< Output_Object >
typedef struct det_num_pair *	pdet_num_pair
typedef struct update_args	update_args
using	Darknet::VThreads = std::vector< std::thread >

Enumerations
enum	ACTIVATION {   LOGISTIC ,   RELU ,   RELU6 ,   RELIE ,   LINEAR ,   RAMP ,   TANH ,   PLSE ,   REVLEAKY ,   LEAKY ,   ELU ,   LOGGY ,   STAIR ,   HARDTAN ,   LHTAN ,   SELU ,   GELU ,   SWISH ,   MISH ,   HARD_MISH ,   NORM_CHAN ,   NORM_CHAN_SOFTMAX ,   NORM_CHAN_SOFTMAX_MAXVAL }
enum	BINARY_ACTIVATION {   MULT ,   ADD ,   SUB ,   DIV }
enum	COST_TYPE {   SSE ,   MASKED ,   L1 ,   SEG ,   SMOOTH ,   WGAN }
enum	data_type {   DETECTION_DATA ,   IMAGE_DATA ,   LETTERBOX_DATA }
	Things that we can do on a secondary thread. More...
enum	IMTYPE {   PNG ,   BMP ,   TGA ,   JPG }
enum	IOU_LOSS {   IOU ,   GIOU ,   MSE ,   DIOU ,   CIOU }
enum	learning_rate_policy {   CONSTANT ,   STEP ,   EXP ,   POLY ,   STEPS ,   SIG ,   RANDOM ,   SGDR }
enum	UNUSED_ENUM_TYPE { UNUSED_DEF_VAL }
enum	WEIGHTS_NORMALIZATION_T {   NO_NORMALIZATION ,   RELU_NORMALIZATION ,   SOFTMAX_NORMALIZATION }
enum	WEIGHTS_TYPE_T {   NO_WEIGHTS ,   PER_FEATURE ,   PER_CHANNEL }
enum	YOLO_POINT {   YOLO_CENTER = 1 << 0 ,   YOLO_LEFT_TOP = 1 << 1 ,   YOLO_RIGHT_BOTTOM = 1 << 2 }

Functions
void *	cuda_get_context ()
void	cuda_pull_array (float *x_gpu, float *x, size_t n)
void	cuda_pull_array_async (float *x_gpu, float *x, size_t n)
void	free_layer (Darknet::Layer &l)
void	free_layer_custom (Darknet::Layer &l, int keep_cudnn_desc)
int	get_yolo_detections_v3 (Darknet::Network *net, int w, int h, int netw, int neth, float thresh, int *map, int relative, Darknet::Detection *dets, int letter, Darknet::Output_Object_Cache &cache)
void	init_cpu ()
void	top_k (float *a, int n, int k, int *index)
int	yolo_num_detections_v3 (Darknet::Network *net, const int index, const float thresh, Darknet::Output_Object_Cache &cache)

Macro Definition Documentation

DARKNET_INCLUDE_ORIGINAL_API

#define DARKNET_INCLUDE_ORIGINAL_API

If you're using some old software that expects the original C API in the Darknet library, then make sure you "#define DARKNET_INCLUDE_ORIGINAL_API" before you include darknet.h.

Internally, Darknet still uses the old C V2 API which is why it is defined in darknet_internal.hpp.

SECRET_NUM

#define SECRET_NUM   -1234

Todo:

V2 what is SECRET_NUM? And/or move to a different header.

Typedef Documentation

box_label

typedef struct box_label box_label

boxabs

typedef struct boxabs boxabs

contrastive_params

typedef struct contrastive_params contrastive_params

data

typedef struct data data

det_num_pair

typedef struct det_num_pair det_num_pair

dxrep

typedef struct dxrep dxrep

ious

typedef struct ious ious

load_args

typedef struct load_args load_args

Used when a secondary thread is created to load things, such as images.

See also

Darknet::load_single_image_data()

data_type

matrix

typedef struct matrix matrix

pdet_num_pair

typedef struct det_num_pair * pdet_num_pair

update_args

typedef struct update_args update_args

Enumeration Type Documentation

ACTIVATION

enum ACTIVATION

Enumerator
LOGISTIC
RELU
RELU6
RELIE
LINEAR
RAMP
TANH
PLSE
REVLEAKY
LEAKY
ELU
LOGGY
STAIR
HARDTAN
LHTAN
SELU
GELU
SWISH
MISH
HARD_MISH
NORM_CHAN
NORM_CHAN_SOFTMAX
NORM_CHAN_SOFTMAX_MAXVAL

BINARY_ACTIVATION

enum BINARY_ACTIVATION

Enumerator
MULT
ADD
SUB
DIV

COST_TYPE

enum COST_TYPE

Enumerator
SSE
MASKED
L1
SEG
SMOOTH
WGAN

data_type

enum data_type

Things that we can do on a secondary thread.

See also

Darknet::load_single_image_data()

load_args::type

Enumerator
DETECTION_DATA
IMAGE_DATA	causes Darknet::load_image() and Darknet::resize_image() to be called
LETTERBOX_DATA	causes Darknet::load_image() and Darknet::letterbox_image() to be called

IMTYPE

enum IMTYPE

Enumerator
PNG
BMP
TGA
JPG

IOU_LOSS

enum IOU_LOSS

Enumerator
IOU
GIOU
MSE
DIOU
CIOU

learning_rate_policy

enum learning_rate_policy

Enumerator
CONSTANT
STEP
EXP
POLY
STEPS
SIG
RANDOM
SGDR

UNUSED_ENUM_TYPE

enum UNUSED_ENUM_TYPE

Todo:

V3 Need to get rid of UNUSED_ENUM_TYPE. And/or move to a different header.

Enumerator
UNUSED_DEF_VAL

WEIGHTS_NORMALIZATION_T

enum WEIGHTS_NORMALIZATION_T

Enumerator
NO_NORMALIZATION
RELU_NORMALIZATION
SOFTMAX_NORMALIZATION

WEIGHTS_TYPE_T

enum WEIGHTS_TYPE_T

Enumerator
NO_WEIGHTS
PER_FEATURE
PER_CHANNEL

YOLO_POINT

enum YOLO_POINT

Enumerator
YOLO_CENTER
YOLO_LEFT_TOP
YOLO_RIGHT_BOTTOM

Function Documentation

cuda_get_context()

void * cuda_get_context

(

)

cuda_pull_array()

void cuda_pull_array	(	float *	x_gpu,
		float *	x,
		size_t	n
	)

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cuda_pull_array_async()

void cuda_pull_array_async	(	float *	x_gpu,
		float *	x,
		size_t	n
	)

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free_layer()

void free_layer

(

Darknet::Layer &

l

)

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free_layer_custom()

void free_layer_custom	(	Darknet::Layer &	l,
		int	keep_cudnn_desc
	)

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get_yolo_detections_v3()

int get_yolo_detections_v3	(	Darknet::Network *	net,
		int	w,
		int	h,
		int	netw,
		int	neth,
		float	thresh,
		int *	map,
		int	relative,
		Darknet::Detection *	dets,
		int	letter,
		Darknet::Output_Object_Cache &	cache
	)

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init_cpu()

void init_cpu

(

)

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top_k()

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

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yolo_num_detections_v3()

int yolo_num_detections_v3	(	Darknet::Network *	net,
		const int	index,
		const float	thresh,
		Darknet::Output_Object_Cache &	cache
	)

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