#include "network.h"
|
#include "utils.h"
|
#include "parser.h"
|
#include "option_list.h"
|
#include "blas.h"
|
|
#ifdef OPENCV
|
#include "opencv2/highgui/highgui_c.h"
|
#endif
|
|
void train_cifar(char *cfgfile, char *weightfile)
|
{
|
data_seed = time(0);
|
srand(time(0));
|
float avg_loss = -1;
|
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);
|
|
char *backup_directory = "/home/pjreddie/backup/";
|
int classes = 10;
|
int N = 50000;
|
|
char **labels = get_labels("data/cifar/labels.txt");
|
int epoch = (*net.seen)/N;
|
data train = load_all_cifar10();
|
while(get_current_batch(net) < net.max_batches || net.max_batches == 0){
|
clock_t time=clock();
|
|
float loss = train_network_sgd(net, train, 1);
|
if(avg_loss == -1) avg_loss = loss;
|
avg_loss = avg_loss*.9 + loss*.1;
|
printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %d images\n", get_current_batch(net), (float)(*net.seen)/N, loss, avg_loss, get_current_rate(net), sec(clock()-time), *net.seen);
|
if(*net.seen/N > epoch){
|
epoch = *net.seen/N;
|
char buff[256];
|
sprintf(buff, "%s/%s_%d.weights",backup_directory,base, epoch);
|
save_weights(net, buff);
|
}
|
if(get_current_batch(net)%100 == 0){
|
char buff[256];
|
sprintf(buff, "%s/%s.backup",backup_directory,base);
|
save_weights(net, buff);
|
}
|
}
|
char buff[256];
|
sprintf(buff, "%s/%s.weights", backup_directory, base);
|
save_weights(net, buff);
|
|
free_network(net);
|
free_ptrs((void**)labels, classes);
|
free(base);
|
free_data(train);
|
}
|
|
void test_cifar(char *filename, char *weightfile)
|
{
|
network net = parse_network_cfg(filename);
|
if(weightfile){
|
load_weights(&net, weightfile);
|
}
|
srand(time(0));
|
|
clock_t time;
|
float avg_acc = 0;
|
float avg_top5 = 0;
|
data test = load_cifar10_data("data/cifar/cifar-10-batches-bin/test_batch.bin");
|
|
time=clock();
|
|
float *acc = network_accuracies(net, test, 2);
|
avg_acc += acc[0];
|
avg_top5 += acc[1];
|
printf("top1: %f, %lf seconds, %d images\n", avg_acc, sec(clock()-time), test.X.rows);
|
free_data(test);
|
}
|
|
void run_cifar(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], "train")) train_cifar(cfg, weights);
|
else if(0==strcmp(argv[2], "test")) test_cifar(cfg, weights);
|
}
|
