region_layer.cpp File Reference

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Macros
#define	DOABS   1

Functions
void	backward_region_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	backward_region_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
void	correct_region_boxes (Darknet::Detection *dets, int n, int w, int h, int netw, int neth, int relative)
float	delta_region_box (Darknet::Box truth, float *x, float *biases, int n, int index, int i, int j, int w, int h, float *delta, float scale)
void	delta_region_class (float *output, float *delta, int index, int class_id, int classes, Darknet::Tree *hier, float scale, float *avg_cat, int focal_loss)
void	forward_region_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	forward_region_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
Darknet::Box	get_region_box (float *x, float *biases, int n, int index, int i, int j, int w, int h)
void	get_region_boxes (const Darknet::Layer &l, int w, int h, float thresh, float **probs, Darknet::Box *boxes, int only_objectness, int *map)
void	get_region_detections (Darknet::Layer l, int w, int h, int netw, int neth, float thresh, int *map, float tree_thresh, int relative, Darknet::Detection *dets)
float	logit (float x)
Darknet::Layer	make_region_layer (int batch, int w, int h, int n, int classes, int coords, int max_boxes)
void	resize_region_layer (Darknet::Layer *l, int w, int h)
void	softmax_tree (float *input, int batch, int inputs, float temp, Darknet::Tree *hierarchy, float *output)
float	tisnan (float x)
void	zero_objectness (Darknet::Layer &l)

Macro Definition Documentation

DOABS

#define DOABS   1

Function Documentation

backward_region_layer()

void backward_region_layer	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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backward_region_layer_gpu()

void backward_region_layer_gpu	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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correct_region_boxes()

void correct_region_boxes	(	Darknet::Detection *	dets,
		int	n,
		int	w,
		int	h,
		int	netw,
		int	neth,
		int	relative
	)

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delta_region_box()

float delta_region_box	(	Darknet::Box	truth,
		float *	x,
		float *	biases,
		int	n,
		int	index,
		int	i,
		int	j,
		int	w,
		int	h,
		float *	delta,
		float	scale
	)

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delta_region_class()

void delta_region_class	(	float *	output,
		float *	delta,
		int	index,
		int	class_id,
		int	classes,
		Darknet::Tree *	hier,
		float	scale,
		float *	avg_cat,
		int	focal_loss
	)

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forward_region_layer()

void forward_region_layer	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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forward_region_layer_gpu()

void forward_region_layer_gpu	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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get_region_box()

Darknet::Box get_region_box	(	float *	x,
		float *	biases,
		int	n,
		int	index,
		int	i,
		int	j,
		int	w,
		int	h
	)

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get_region_boxes()

void get_region_boxes	(	const Darknet::Layer &	l,
		int	w,
		int	h,
		float	thresh,
		float **	probs,
		Darknet::Box *	boxes,
		int	only_objectness,
		int *	map
	)

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get_region_detections()

void get_region_detections	(	Darknet::Layer	l,
		int	w,
		int	h,
		int	netw,
		int	neth,
		float	thresh,
		int *	map,
		float	tree_thresh,
		int	relative,
		Darknet::Detection *	dets
	)

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logit()

float logit

(

float

x

)

make_region_layer()

Darknet::Layer make_region_layer	(	int	batch,
		int	w,
		int	h,
		int	n,
		int	classes,
		int	coords,
		int	max_boxes
	)

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resize_region_layer()

void resize_region_layer	(	Darknet::Layer *	l,
		int	w,
		int	h
	)

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softmax_tree()

void softmax_tree	(	float *	input,
		int	batch,
		int	inputs,
		float	temp,
		Darknet::Tree *	hierarchy,
		float *	output
	)

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tisnan()

float tisnan

(

float

x

)

zero_objectness()

void zero_objectness

(

Darknet::Layer &

l

)