Joseph Redmon
2016-01-28 b711627e84d2245e31a3b71d9e1119db49d6287c
src/imagenet.c
@@ -21,7 +21,7 @@
    printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
    int imgs = 1024;
    char **labels = get_labels("data/inet.labels.list");
    list *plist = get_paths("/data/imagenet/cls.train.list");
    list *plist = get_paths("data/inet.train.list");
    char **paths = (char **)list_to_array(plist);
    printf("%d\n", plist->size);
    int N = plist->size;
@@ -48,12 +48,6 @@
        pthread_join(load_thread, 0);
        train = buffer;
        /*
        image im = float_to_image(256, 256, 3, train.X.vals[114]);
        show_image(im, "training");
        cvWaitKey(0);
        */
        load_thread = load_data_in_thread(args);
        printf("Loaded: %lf seconds\n", sec(clock()-time));
        time=clock();
@@ -68,6 +62,11 @@
            sprintf(buff, "%s/%s_%d.weights",backup_directory,base, epoch);
            save_weights(net, buff);
        }
        if(*net.seen%1000 == 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);
@@ -92,6 +91,7 @@
    srand(time(0));
    char **labels = get_labels("data/inet.labels.list");
    //list *plist = get_paths("data/inet.suppress.list");
    list *plist = get_paths("data/inet.val.list");
    char **paths = (char **)list_to_array(plist);