Darknet/YOLO v3.0-177-gfa2353b
Object Detection Framework
 
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yolo_layer.cpp File Reference
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Functions

void backward_yolo_layer (Darknet::Layer &l, Darknet::NetworkState state)
 
void backward_yolo_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
 
void correct_yolo_boxes (Darknet::Detection *dets, int n, int w, int h, int netw, int neth, int relative, int letter)
 
void forward_yolo_layer (Darknet::Layer &l, Darknet::NetworkState state)
 
void forward_yolo_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
 
int get_yolo_detections (const Darknet::Layer &l, int w, int h, int netw, int neth, float thresh, int *map, int relative, Darknet::Detection *dets, int letter)
 
int get_yolo_detections_batch (const Darknet::Layer &l, int w, int h, int netw, int neth, float thresh, int *map, int relative, Darknet::Detection *dets, int letter, int batch)
 
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)
 
Darknet::Layer make_yolo_layer (int batch, int w, int h, int n, int total, int *mask, int classes, int max_boxes)
 
void process_batch (void *ptr)
 
void resize_yolo_layer (Darknet::Layer *l, int w, int h)
 
int yolo_num_detections (const Darknet::Layer &l, float thresh)
 
int yolo_num_detections_batch (const Darknet::Layer &l, float thresh, int batch)
 
int yolo_num_detections_v3 (Darknet::Network *net, const int index, const float thresh, Darknet::Output_Object_Cache &cache)
 

Function Documentation

◆ backward_yolo_layer()

void backward_yolo_layer ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ backward_yolo_layer_gpu()

void backward_yolo_layer_gpu ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ correct_yolo_boxes()

void correct_yolo_boxes ( Darknet::Detection dets,
int  n,
int  w,
int  h,
int  netw,
int  neth,
int  relative,
int  letter 
)
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◆ forward_yolo_layer()

void forward_yolo_layer ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ forward_yolo_layer_gpu()

void forward_yolo_layer_gpu ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ get_yolo_detections()

int get_yolo_detections ( const Darknet::Layer l,
int  w,
int  h,
int  netw,
int  neth,
float  thresh,
int *  map,
int  relative,
Darknet::Detection dets,
int  letter 
)
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◆ get_yolo_detections_batch()

int get_yolo_detections_batch ( const Darknet::Layer l,
int  w,
int  h,
int  netw,
int  neth,
float  thresh,
int *  map,
int  relative,
Darknet::Detection dets,
int  letter,
int  batch 
)
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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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◆ make_yolo_layer()

Darknet::Layer make_yolo_layer ( int  batch,
int  w,
int  h,
int  n,
int  total,
int *  mask,
int  classes,
int  max_boxes 
)
Todo:
Valgrind tells us this is not freed in free_layer_custom()
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◆ process_batch()

void process_batch ( void *  ptr)
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◆ resize_yolo_layer()

void resize_yolo_layer ( Darknet::Layer l,
int  w,
int  h 
)
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◆ yolo_num_detections()

int yolo_num_detections ( const Darknet::Layer l,
float  thresh 
)
Todo:
V3 JAZZ 2024-06-02: Why does "omp parallel" not work like I expect?
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◆ yolo_num_detections_batch()

int yolo_num_detections_batch ( const Darknet::Layer l,
float  thresh,
int  batch 
)
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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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