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This commit is contained in:
Joseph Redmon
2014-04-16 17:05:29 -07:00
parent cc06817efa
commit 738cd4c2d7
10 changed files with 438 additions and 55 deletions
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36
src/parser.c
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@ -7,6 +7,7 @@
#include "convolutional_layer.h"
#include "connected_layer.h"
#include "maxpool_layer.h"
#include "normalization_layer.h"
#include "softmax_layer.h"
#include "list.h"
#include "option_list.h"
@ -21,6 +22,7 @@ int is_convolutional(section *s);
int is_connected(section *s);
int is_maxpool(section *s);
int is_softmax(section *s);
int is_normalization(section *s);
list *read_cfg(char *filename);
void free_section(section *s)
@ -152,6 +154,30 @@ maxpool_layer *parse_maxpool(list *options, network net, int count)
return layer;
}
normalization_layer *parse_normalization(list *options, network net, int count)
{
int h,w,c;
int size = option_find_int(options, "size",1);
float alpha = option_find_float(options, "alpha", 0.);
float beta = option_find_float(options, "beta", 1.);
float kappa = option_find_float(options, "kappa", 1.);
if(count == 0){
h = option_find_int(options, "height",1);
w = option_find_int(options, "width",1);
c = option_find_int(options, "channels",1);
net.batch = option_find_int(options, "batch",1);
}else{
image m = get_network_image_layer(net, count-1);
h = m.h;
w = m.w;
c = m.c;
if(h == 0) error("Layer before convolutional layer must output image.");
}
normalization_layer *layer = make_normalization_layer(net.batch,h,w,c,size, alpha, beta, kappa);
option_unused(options);
return layer;
}
network parse_network_cfg(char *filename)
{
list *sections = read_cfg(filename);
@ -182,6 +208,11 @@ network parse_network_cfg(char *filename)
net.types[count] = MAXPOOL;
net.layers[count] = layer;
net.batch = layer->batch;
}else if(is_normalization(s)){
normalization_layer *layer = parse_normalization(options, net, count);
net.types[count] = NORMALIZATION;
net.layers[count] = layer;
net.batch = layer->batch;
}else{
fprintf(stderr, "Type not recognized: %s\n", s->type);
}
@ -216,6 +247,11 @@ int is_softmax(section *s)
return (strcmp(s->type, "[soft]")==0
|| strcmp(s->type, "[softmax]")==0);
}
int is_normalization(section *s)
{
return (strcmp(s->type, "[lrnorm]")==0
|| strcmp(s->type, "[localresponsenormalization]")==0);
}
int read_option(char *s, list *options)
{