Darknet/YOLO v3.0-177-gfa2353b
Object Detection Framework
 
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crnn_layer.hpp File Reference
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Functions

void backward_crnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
 
void backward_crnn_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
 
void forward_crnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
 
void forward_crnn_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
 
void free_state_crnn (Darknet::Layer &l)
 
Darknet::Layer make_crnn_layer (int batch, int h, int w, int c, int hidden_filters, int output_filters, int groups, int steps, int size, int stride, int dilation, int pad, ACTIVATION activation, int batch_normalize, int xnor, int train)
 
void pull_crnn_layer (Darknet::Layer &l)
 
void push_crnn_layer (Darknet::Layer &l)
 
void resize_crnn_layer (Darknet::Layer *l, int w, int h)
 
void update_crnn_layer (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay)
 
void update_crnn_layer_gpu (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay, float loss_scale)
 

Function Documentation

◆ backward_crnn_layer()

void backward_crnn_layer ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ backward_crnn_layer_gpu()

void backward_crnn_layer_gpu ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ forward_crnn_layer()

void forward_crnn_layer ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ forward_crnn_layer_gpu()

void forward_crnn_layer_gpu ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ free_state_crnn()

void free_state_crnn ( Darknet::Layer l)
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◆ make_crnn_layer()

Darknet::Layer make_crnn_layer ( int  batch,
int  h,
int  w,
int  c,
int  hidden_filters,
int  output_filters,
int  groups,
int  steps,
int  size,
int  stride,
int  dilation,
int  pad,
ACTIVATION  activation,
int  batch_normalize,
int  xnor,
int  train 
)
Todo:
V3 get rid of these unecessary xcalloc()?
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◆ pull_crnn_layer()

void pull_crnn_layer ( Darknet::Layer l)
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◆ push_crnn_layer()

void push_crnn_layer ( Darknet::Layer l)
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◆ resize_crnn_layer()

void resize_crnn_layer ( Darknet::Layer l,
int  w,
int  h 
)
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◆ update_crnn_layer()

void update_crnn_layer ( Darknet::Layer l,
int  batch,
float  learning_rate,
float  momentum,
float  decay 
)
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◆ update_crnn_layer_gpu()

void update_crnn_layer_gpu ( Darknet::Layer l,
int  batch,
float  learning_rate,
float  momentum,
float  decay,
float  loss_scale 
)
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