Added label_smooth_eps=0.1 for [net] layer for Label Smoothing for Cl…

…assifier

include/darknet.h

@@ -638,6 +638,7 @@ typedef struct network {
     int flip; // horizontal flip 50% probability augmentaiont for classifier training (default = 1)
     int blur;
     int mixup;
+    float label_smooth_eps;
     int letter_box;
     float angle;
     float aspect;
@@ -813,6 +814,7 @@ typedef struct load_args {
     int flip;
     int blur;
     int mixup;
+    float label_smooth_eps;
     float angle;
     float aspect;
     float saturation;

src/classifier.c

@@ -92,6 +92,7 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
     args.hue = net.hue;
     args.size = net.w > net.h ? net.w : net.h;
 
+    args.label_smooth_eps = net.label_smooth_eps;
     args.mixup = net.mixup;
     if (dont_show && show_imgs) show_imgs = 2;
     args.show_imgs = show_imgs;

src/data.c

@@ -516,6 +516,32 @@ void fill_truth(char *path, char **labels, int k, float *truth)
     }
 }
 
+void fill_truth_smooth(char *path, char **labels, int k, float *truth, float label_smooth_eps)
+{
+    int i;
+    memset(truth, 0, k * sizeof(float));
+    int count = 0;
+    for (i = 0; i < k; ++i) {
+        if (strstr(path, labels[i])) {
+            truth[i] = (1 - label_smooth_eps);
+            ++count;
+        }
+        else {
+            truth[i] = label_smooth_eps / (k - 1);
+        }
+    }
+    if (count != 1) {
+        printf("Too many or too few labels: %d, %s\n", count, path);
+        count = 0;
+        for (i = 0; i < k; ++i) {
+            if (strstr(path, labels[i])) {
+                printf("\t label %d: %s  \n", count, labels[i]);
+                count++;
+            }
+        }
+    }
+}
+
 void fill_hierarchy(float *truth, int k, tree *hierarchy)
 {
     int j;
@@ -548,12 +574,12 @@ void fill_hierarchy(float *truth, int k, tree *hierarchy)
     }
 }
 
-matrix load_labels_paths(char **paths, int n, char **labels, int k, tree *hierarchy)
+matrix load_labels_paths(char **paths, int n, char **labels, int k, tree *hierarchy, float label_smooth_eps)
 {
     matrix y = make_matrix(n, k);
     int i;
     for(i = 0; i < n && labels; ++i){
-        fill_truth(paths[i], labels, k, y.vals[i]);
+        fill_truth_smooth(paths[i], labels, k, y.vals[i], label_smooth_eps);
         if(hierarchy){
             fill_hierarchy(y.vals[i], k, hierarchy);
         }
@@ -1336,7 +1362,7 @@ void *load_thread(void *ptr)
     if (a.type == OLD_CLASSIFICATION_DATA){
         *a.d = load_data_old(a.paths, a.n, a.m, a.labels, a.classes, a.w, a.h);
     } else if (a.type == CLASSIFICATION_DATA){
-        *a.d = load_data_augment(a.paths, a.n, a.m, a.labels, a.classes, a.hierarchy, a.flip, a.min, a.max, a.w, a.h, a.angle, a.aspect, a.hue, a.saturation, a.exposure, a.mixup, a.blur, a.show_imgs);
+        *a.d = load_data_augment(a.paths, a.n, a.m, a.labels, a.classes, a.hierarchy, a.flip, a.min, a.max, a.w, a.h, a.angle, a.aspect, a.hue, a.saturation, a.exposure, a.mixup, a.blur, a.show_imgs, a.label_smooth_eps);
     } else if (a.type == SUPER_DATA){
         *a.d = load_data_super(a.paths, a.n, a.m, a.w, a.h, a.scale);
     } else if (a.type == WRITING_DATA){
@@ -1432,7 +1458,7 @@ data load_data_old(char **paths, int n, int m, char **labels, int k, int w, int
     data d = {0};
     d.shallow = 0;
     d.X = load_image_paths(paths, n, w, h);
-    d.y = load_labels_paths(paths, n, labels, k, 0);
+    d.y = load_labels_paths(paths, n, labels, k, 0, 0);
     if(m) free(paths);
     return d;
 }
@@ -1481,21 +1507,21 @@ data load_data_super(char **paths, int n, int m, int w, int h, int scale)
     return d;
 }
 
-data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int mixup, int use_blur, int show_imgs)
+data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int mixup, int use_blur, int show_imgs, float label_smooth_eps)
 {
     char **paths_stored = paths;
     if(m) paths = get_random_paths(paths, n, m);
     data d = {0};
     d.shallow = 0;
     d.X = load_image_augment_paths(paths, n, use_flip, min, max, w, h, angle, aspect, hue, saturation, exposure);
-    d.y = load_labels_paths(paths, n, labels, k, hierarchy);
+    d.y = load_labels_paths(paths, n, labels, k, hierarchy, label_smooth_eps);
 
     if (mixup && rand_int(0, 1)) {
         char **paths_mix = get_random_paths(paths_stored, n, m);
         data d2 = { 0 };
         d2.shallow = 0;
         d2.X = load_image_augment_paths(paths_mix, n, use_flip, min, max, w, h, angle, aspect, hue, saturation, exposure);
-        d2.y = load_labels_paths(paths_mix, n, labels, k, hierarchy);
+        d2.y = load_labels_paths(paths_mix, n, labels, k, hierarchy, label_smooth_eps);
         free(paths_mix);
 
         data d3 = { 0 };
@@ -1505,12 +1531,12 @@ data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *h
         if (mixup >= 3) {
             char **paths_mix3 = get_random_paths(paths_stored, n, m);
             d3.X = load_image_augment_paths(paths_mix3, n, use_flip, min, max, w, h, angle, aspect, hue, saturation, exposure);
-            d3.y = load_labels_paths(paths_mix3, n, labels, k, hierarchy);
+            d3.y = load_labels_paths(paths_mix3, n, labels, k, hierarchy, label_smooth_eps);
             free(paths_mix3);
 
             char **paths_mix4 = get_random_paths(paths_stored, n, m);
             d4.X = load_image_augment_paths(paths_mix4, n, use_flip, min, max, w, h, angle, aspect, hue, saturation, exposure);
-            d4.y = load_labels_paths(paths_mix4, n, labels, k, hierarchy);
+            d4.y = load_labels_paths(paths_mix4, n, labels, k, hierarchy, label_smooth_eps);
             free(paths_mix4);
         }
 

src/data.h

@@ -91,7 +91,7 @@ data load_data_detection(int n, char **paths, int m, int w, int h, int c, int bo
 data load_data_tag(char **paths, int n, int m, int k, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure);
 matrix load_image_augment_paths(char **paths, int n, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure);
 data load_data_super(char **paths, int n, int m, int w, int h, int scale);
-data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int mixup, int use_blur, int show_imgs);
+data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int use_flip, int min, int max, int w, int h, float angle, float aspect, float hue, float saturation, float exposure, int mixup, int use_blur, int show_imgs, float label_smooth_eps);
 data load_go(char *filename);
 
 box_label *read_boxes(char *filename, int *n);
@@ -116,6 +116,7 @@ data *split_data(data d, int part, int total);
 data concat_data(data d1, data d2);
 data concat_datas(data *d, int n);
 void fill_truth(char *path, char **labels, int k, float *truth);
+void fill_truth_smooth(char *path, char **labels, int k, float *truth, float label_smooth_eps);
 #ifdef __cplusplus
 }
 

src/parser.c

@@ -930,6 +930,7 @@ void parse_net_options(list *options, network *net)
     else if (cutmix) net->mixup = 2;
     else if (mosaic) net->mixup = 3;
     net->letter_box = option_find_int_quiet(options, "letter_box", 0);
+    net->label_smooth_eps = option_find_float_quiet(options, "label_smooth_eps", 0.0f);
 
     net->angle = option_find_float_quiet(options, "angle", 0);
     net->aspect = option_find_float_quiet(options, "aspect", 1);