diff --git a/src/swag.c b/src/swag.c
new file mode 100644
index 00000000..f06db4c9
--- /dev/null
+++ b/src/swag.c
@@ -0,0 +1,92 @@
+#include "network.h"
+#include "detection_layer.h"
+#include "cost_layer.h"
+#include "utils.h"
+#include "parser.h"
+#include "box.h"
+
+#ifdef OPENCV
+#include "opencv2/highgui/highgui_c.h"
+#endif
+
+void train_swag(char *cfgfile, char *weightfile)
+{
+    char *train_images = "data/voc.0712.trainval";
+    char *backup_directory = "/home/pjreddie/backup/";
+    srand(time(0));
+    data_seed = time(0);
+    char *base = basecfg(cfgfile);
+    printf("%s\n", base);
+    float avg_loss = -1;
+    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 = net.batch*net.subdivisions;
+    int i = *net.seen/imgs;
+    data train, buffer;
+
+    layer l = net.layers[net.n - 1];
+
+    int side = l.side;
+    int classes = l.classes;
+    float jitter = l.jitter;
+
+    list *plist = get_paths(train_images);
+    //int N = plist->size;
+    char **paths = (char **)list_to_array(plist);
+
+    load_args args = {0};
+    args.w = net.w;
+    args.h = net.h;
+    args.paths = paths;
+    args.n = imgs;
+    args.m = plist->size;
+    args.classes = classes;
+    args.jitter = jitter;
+    args.num_boxes = side;
+    args.d = &buffer;
+    args.type = REGION_DATA;
+
+    pthread_t load_thread = load_data_in_thread(args);
+    clock_t time;
+    //while(i*imgs < N*120){
+    while(get_current_batch(net) < net.max_batches){
+        i += 1;
+        time=clock();
+        pthread_join(load_thread, 0);
+        train = buffer;
+        load_thread = load_data_in_thread(args);
+
+        printf("Loaded: %lf seconds\n", sec(clock()-time));
+
+        time=clock();
+        float loss = train_network(net, train);
+        if (avg_loss < 0) avg_loss = loss;
+        avg_loss = avg_loss*.9 + loss*.1;
+
+        printf("%d: %f, %f avg, %f rate, %lf seconds, %d images\n", i, loss, avg_loss, get_current_rate(net), sec(clock()-time), i*imgs);
+        if(i%1000==0 || i == 600){
+            char buff[256];
+            sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);
+            save_weights(net, buff);
+        }
+        free_data(train);
+    }
+    char buff[256];
+    sprintf(buff, "%s/%s_final.weights", backup_directory, base);
+    save_weights(net, buff);
+}
+
+void run_swag(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_swag(cfg, weights);
+}