Darknet/YOLO v3.0-93-gfbbaca7
Object Detection Framework
 
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parser.cpp File Reference
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Functions

void load_batchnorm_weights (Darknet::Layer &l, FILE *fp)
 
void load_connected_weights (Darknet::Layer &l, FILE *fp, int transpose)
 
void load_convolutional_weights (Darknet::Layer &l, FILE *fp)
 
void load_convolutional_weights_binary (Darknet::Layer &l, FILE *fp)
 
networkload_network (const char *cfg, const char *weights, int clear)
 
networkload_network_custom (const char *cfg, const char *weights, int clear, int batch)
 
void load_shortcut_weights (Darknet::Layer &l, FILE *fp)
 
void load_weights (network *net, const char *filename)
 
void load_weights_upto (network *net, const char *filename, int cutoff)
 
network parse_network_cfg (const char *filename)
 
network parse_network_cfg_custom (const char *filename, int batch, int time_steps)
 
void save_batchnorm_weights (Darknet::Layer &l, FILE *fp)
 
void save_connected_weights (Darknet::Layer &l, FILE *fp)
 
void save_convolutional_weights (Darknet::Layer &l, FILE *fp)
 
void save_convolutional_weights_binary (Darknet::Layer &l, FILE *fp)
 
void save_convolutional_weights_ema (Darknet::Layer &l, FILE *fp)
 
void save_shortcut_weights (Darknet::Layer &l, FILE *fp)
 
void save_weights (network net, char *filename)
 
void save_weights_upto (network net, char *filename, int cutoff, int save_ema)
 
void transpose_matrix (float *a, int rows, int cols)
 

Function Documentation

◆ load_batchnorm_weights()

void load_batchnorm_weights ( Darknet::Layer l,
FILE *  fp 
)
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◆ load_connected_weights()

void load_connected_weights ( Darknet::Layer l,
FILE *  fp,
int  transpose 
)
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◆ load_convolutional_weights()

void load_convolutional_weights ( Darknet::Layer l,
FILE *  fp 
)
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◆ load_convolutional_weights_binary()

void load_convolutional_weights_binary ( Darknet::Layer l,
FILE *  fp 
)
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◆ load_network()

network * load_network ( const char *  cfg,
const char *  weights,
int  clear 
)
Todo:
why do we not call fuse_conv_batchnorm() here?
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◆ load_network_custom()

network * load_network_custom ( const char *  cfg,
const char *  weights,
int  clear,
int  batch 
)
Todo:
Some code seems to also call this next function, and some not. This was not originally called here, but I copied it from several other code locations. Need to invetigate whether or not it should be here. 2024-08-03
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◆ load_shortcut_weights()

void load_shortcut_weights ( Darknet::Layer l,
FILE *  fp 
)
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◆ load_weights()

void load_weights ( network net,
const char *  filename 
)
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◆ load_weights_upto()

void load_weights_upto ( network net,
const char *  filename,
int  cutoff 
)
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◆ parse_network_cfg()

network parse_network_cfg ( const char *  filename)
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◆ parse_network_cfg_custom()

network parse_network_cfg_custom ( const char *  filename,
int  batch,
int  time_steps 
)
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◆ save_batchnorm_weights()

void save_batchnorm_weights ( Darknet::Layer l,
FILE *  fp 
)
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◆ save_connected_weights()

void save_connected_weights ( Darknet::Layer l,
FILE *  fp 
)
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◆ save_convolutional_weights()

void save_convolutional_weights ( Darknet::Layer l,
FILE *  fp 
)
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◆ save_convolutional_weights_binary()

void save_convolutional_weights_binary ( Darknet::Layer l,
FILE *  fp 
)
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◆ save_convolutional_weights_ema()

void save_convolutional_weights_ema ( Darknet::Layer l,
FILE *  fp 
)
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◆ save_shortcut_weights()

void save_shortcut_weights ( Darknet::Layer l,
FILE *  fp 
)
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◆ save_weights()

void save_weights ( network  net,
char *  filename 
)
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◆ save_weights_upto()

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

void transpose_matrix ( float *  a,
int  rows,
int  cols 
)
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