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Split commands into different files

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Joseph Redmon
2015-03-06 10:49:03 -08:00
parent 26cddc6f93
commit 2313a8eb54
8 changed files with 887 additions and 870 deletions
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120
src/captcha.c Normal file
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#include "network.h"
#include "utils.h"
#include "parser.h"
void train_captcha(char *cfgfile, char *weightfile)
{
float avg_loss = -1;
srand(time(0));
char *base = basecfg(cfgfile);
printf("%s\n", base);
network net = parse_network_cfg(cfgfile);
if(weightfile){
load_weights(&net, weightfile);
}
printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
int imgs = 1024;
int i = net.seen/imgs;
list *plist = get_paths("/data/captcha/train.list");
char **paths = (char **)list_to_array(plist);
printf("%d\n", plist->size);
clock_t time;
while(1){
++i;
time=clock();
data train = load_data_captcha(paths, imgs, plist->size, 10, 60, 200);
translate_data_rows(train, -128);
scale_data_rows(train, 1./128);
printf("Loaded: %lf seconds\n", sec(clock()-time));
time=clock();
float loss = train_network(net, train);
net.seen += imgs;
if(avg_loss == -1) avg_loss = loss;
avg_loss = avg_loss*.9 + loss*.1;
printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), net.seen);
free_data(train);
if(i%100==0){
char buff[256];
sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i);
save_weights(net, buff);
}
}
}
void validate_captcha(char *cfgfile, char *weightfile)
{
srand(time(0));
char *base = basecfg(cfgfile);
printf("%s\n", base);
network net = parse_network_cfg(cfgfile);
if(weightfile){
load_weights(&net, weightfile);
}
int imgs = 1000;
int numchars = 37;
list *plist = get_paths("/data/captcha/valid.base");
char **paths = (char **)list_to_array(plist);
data valid = load_data_captcha(paths, imgs, 0, 10, 60, 200);
translate_data_rows(valid, -128);
scale_data_rows(valid, 1./128);
matrix pred = network_predict_data(net, valid);
int i, k;
int correct = 0;
int total = 0;
int accuracy = 0;
for(i = 0; i < imgs; ++i){
int allcorrect = 1;
for(k = 0; k < 10; ++k){
char truth = int_to_alphanum(max_index(valid.y.vals[i]+k*numchars, numchars));
char prediction = int_to_alphanum(max_index(pred.vals[i]+k*numchars, numchars));
if (truth != prediction) allcorrect=0;
if (truth != '.' && truth == prediction) ++correct;
if (truth != '.' || truth != prediction) ++total;
}
accuracy += allcorrect;
}
printf("Word Accuracy: %f, Char Accuracy %f\n", (float)accuracy/imgs, (float)correct/total);
free_data(valid);
}
void test_captcha(char *cfgfile, char *weightfile)
{
setbuf(stdout, NULL);
srand(time(0));
//char *base = basecfg(cfgfile);
//printf("%s\n", base);
network net = parse_network_cfg(cfgfile);
set_batch_network(&net, 1);
if(weightfile){
load_weights(&net, weightfile);
}
char filename[256];
while(1){
//printf("Enter filename: ");
fgets(filename, 256, stdin);
strtok(filename, "\n");
image im = load_image_color(filename, 60, 200);
translate_image(im, -128);
scale_image(im, 1/128.);
float *X = im.data;
float *predictions = network_predict(net, X);
print_letters(predictions, 10);
free_image(im);
}
}
void run_captcha(int argc, char **argv)
{
if(argc < 4){
fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
return;
}
char *cfg = argv[3];
char *weights = (argc > 4) ? argv[4] : 0;
if(0==strcmp(argv[2], "test")) test_captcha(cfg, weights);
else if(0==strcmp(argv[2], "train")) train_captcha(cfg, weights);
else if(0==strcmp(argv[2], "valid")) validate_captcha(cfg, weights);
}