From c7a700dc2249e8bd3a2c9120dfd09240e413c8bd Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Sat, 05 Nov 2016 21:09:21 +0000
Subject: [PATCH] new font strategy

---
 src/yolo.c                   |    2 
 src/tree.c                   |   44 ++++
 src/softmax_layer.c          |   24 +-
 src/classifier.c             |   64 -------
 src/region_layer.c           |  137 ++++++++------
 data/labels/make_labels.py   |   28 +-
 /dev/null                    |    0 
 src/image.c                  |   43 ++--
 src/coco.c                   |    2 
 src/option_list.h            |    1 
 src/demo.c                   |    4 
 src/convolutional_layer.c    |   10 
 src/option_list.c            |   29 +++
 src/parser.c                 |   66 ++++++
 src/detector.c               |   65 ++++---
 src/tree.h                   |    4 
 src/convolutional_kernels.cu |    8 
 src/image.h                  |    4 
 src/layer.h                  |    4 
 19 files changed, 330 insertions(+), 209 deletions(-)

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diff --git a/data/labels/make_labels.py b/data/labels/make_labels.py
index 1dacdc3..c8146f6 100644
--- a/data/labels/make_labels.py
+++ b/data/labels/make_labels.py
@@ -2,18 +2,22 @@
 import string
 import pipes
 
-#l = ["person","bicycle","car","motorcycle","airplane","bus","train","truck","boat","traffic light","fire hydrant","stop sign","parking meter","bench","bird","cat","dog","horse","sheep","cow","elephant","bear","zebra","giraffe","backpack","umbrella","handbag","tie","suitcase","frisbee","skis","snowboard","sports ball","kite","baseball bat","baseball glove","skateboard","surfboard","tennis racket","bottle","wine glass","cup","fork","knife","spoon","bowl","banana","apple","sandwich","orange","broccoli","carrot","hot dog","pizza","donut","cake","chair","couch","potted plant","bed","dining table","toilet","tv","laptop","mouse","remote","keyboard","cell phone","microwave","oven","toaster","sink","refrigerator","book","clock","vase","scissors","teddy bear","hair drier","toothbrush", "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]
+font = 'futura-normal'
 
-l = string.printable
+def make_labels(s):
+    l = string.printable
+    for word in l:
+        if word == ' ':
+            os.system('convert -fill black -background white -bordercolor white -font %s -pointsize %d label:"\ " 32_%d.png'%(font,s,s/12-1))
+        if word == '@':
+            os.system('convert -fill black -background white -bordercolor white -font %s -pointsize %d label:"\@" 64_%d.png'%(font,s,s/12-1))
+        elif word == '\\':
+            os.system('convert -fill black -background white -bordercolor white -font %s -pointsize %d label:"\\\\\\\\" 92_%d.png'%(font,s,s/12-1))
+        elif ord(word) in [9,10,11,12,13,14]:
+            pass
+        else:
+            os.system("convert -fill black -background white -bordercolor white -font %s -pointsize %d label:%s \"%d_%d.png\""%(font,s,pipes.quote(word), ord(word),s/12-1))
 
-for word in l:
-    #os.system("convert -fill black -background white -bordercolor white -border 4 -font futura-normal -pointsize 18 label:\"%s\" \"%s.png\""%(word, word))
-    if word == ' ':
-        os.system('convert -fill black -background white -bordercolor white -font futura-normal -pointsize 64 label:"\ " 32.png')
-    elif word == '\\':
-        os.system('convert -fill black -background white -bordercolor white -font futura-normal -pointsize 64 label:"\\\\\\\\" 92.png')
-    elif ord(word) in [9,10,11,12,13,14]:
-        pass
-    else:
-        os.system("convert -fill black -background white -bordercolor white -font futura-normal -pointsize 64 label:%s \"%d.png\""%(pipes.quote(word), ord(word)))
+for i in [12,24,36,48,60,72,84,96]:
+    make_labels(i)
 
diff --git a/src/classifier.c b/src/classifier.c
index a77f9df..2ce6207 100644
--- a/src/classifier.c
+++ b/src/classifier.c
@@ -13,50 +13,6 @@
 image get_image_from_stream(CvCapture *cap);
 #endif
 
-list *read_data_cfg(char *filename)
-{
-    FILE *file = fopen(filename, "r");
-    if(file == 0) file_error(filename);
-    char *line;
-    int nu = 0;
-    list *options = make_list();
-    while((line=fgetl(file)) != 0){
-        ++ nu;
-        strip(line);
-        switch(line[0]){
-            case '\0':
-            case '#':
-            case ';':
-                free(line);
-                break;
-            default:
-                if(!read_option(line, options)){
-                    fprintf(stderr, "Config file error line %d, could parse: %s\n", nu, line);
-                    free(line);
-                }
-                break;
-        }
-    }
-    fclose(file);
-    return options;
-}
-
-void hierarchy_predictions(float *predictions, int n, tree *hier, int only_leaves)
-{
-    int j;
-    for(j = 0; j < n; ++j){
-        int parent = hier->parent[j];
-        if(parent >= 0){
-            predictions[j] *= predictions[parent]; 
-        }
-    }
-    if(only_leaves){
-        for(j = 0; j < n; ++j){
-            if(!hier->leaf[j]) predictions[j] = 0;
-        }
-    }
-}
-
 float *get_regression_values(char **labels, int n)
 {
     float *v = calloc(n, sizeof(float));
@@ -488,26 +444,6 @@
     }
 }
 
-void change_leaves(tree *t, char *leaf_list)
-{
-    list *llist = get_paths(leaf_list);
-    char **leaves = (char **)list_to_array(llist);
-    int n = llist->size;
-    int i,j;
-    int found = 0;
-    for(i = 0; i < t->n; ++i){
-        t->leaf[i] = 0;
-        for(j = 0; j < n; ++j){
-            if (0==strcmp(t->name[i], leaves[j])){
-                t->leaf[i] = 1;
-                ++found;
-                break;
-            }
-        }
-    }
-    fprintf(stderr, "Found %d leaves.\n", found);
-}
-
 
 void validate_classifier_single(char *datacfg, char *filename, char *weightfile)
 {
diff --git a/src/coco.c b/src/coco.c
index 939a08d..f684fee 100644
--- a/src/coco.c
+++ b/src/coco.c
@@ -318,7 +318,7 @@
 
 void test_coco(char *cfgfile, char *weightfile, char *filename, float thresh)
 {
-    image *alphabet = load_alphabet();
+    image **alphabet = load_alphabet();
     network net = parse_network_cfg(cfgfile);
     if(weightfile){
         load_weights(&net, weightfile);
diff --git a/src/convolutional_kernels.cu b/src/convolutional_kernels.cu
index 76a3fb3..709f77f 100644
--- a/src/convolutional_kernels.cu
+++ b/src/convolutional_kernels.cu
@@ -215,6 +215,10 @@
         cuda_pull_array(layer.rolling_mean_gpu, layer.rolling_mean, layer.n);
         cuda_pull_array(layer.rolling_variance_gpu, layer.rolling_variance, layer.n);
     }
+    if (layer.adam){
+        cuda_pull_array(layer.m_gpu, layer.m, layer.c*layer.n*layer.size*layer.size);
+        cuda_pull_array(layer.v_gpu, layer.v, layer.c*layer.n*layer.size*layer.size);
+    }
 }
 
 void push_convolutional_layer(convolutional_layer layer)
@@ -228,6 +232,10 @@
         cuda_push_array(layer.rolling_mean_gpu, layer.rolling_mean, layer.n);
         cuda_push_array(layer.rolling_variance_gpu, layer.rolling_variance, layer.n);
     }
+    if (layer.adam){
+        cuda_push_array(layer.m_gpu, layer.m, layer.c*layer.n*layer.size*layer.size);
+        cuda_push_array(layer.v_gpu, layer.v, layer.c*layer.n*layer.size*layer.size);
+    }
 }
 
 void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay)
diff --git a/src/convolutional_layer.c b/src/convolutional_layer.c
index 888eca3..1d93b3f 100644
--- a/src/convolutional_layer.c
+++ b/src/convolutional_layer.c
@@ -235,6 +235,11 @@
         l.rolling_mean = calloc(n, sizeof(float));
         l.rolling_variance = calloc(n, sizeof(float));
     }
+    if(adam){
+        l.adam = 1;
+        l.m = calloc(c*n*size*size, sizeof(float));
+        l.v = calloc(c*n*size*size, sizeof(float));
+    }
 
 #ifdef GPU
     l.forward_gpu = forward_convolutional_layer_gpu;
@@ -243,9 +248,8 @@
 
     if(gpu_index >= 0){
         if (adam) {
-            l.adam = 1;
-            l.m_gpu = cuda_make_array(l.weight_updates, c*n*size*size);
-            l.v_gpu = cuda_make_array(l.weight_updates, c*n*size*size);
+            l.m_gpu = cuda_make_array(l.m, c*n*size*size);
+            l.v_gpu = cuda_make_array(l.v, c*n*size*size);
         }
 
         l.weights_gpu = cuda_make_array(l.weights, c*n*size*size);
diff --git a/src/demo.c b/src/demo.c
index 6c653a9..91562c0 100644
--- a/src/demo.c
+++ b/src/demo.c
@@ -17,7 +17,7 @@
 image get_image_from_stream(CvCapture *cap);
 
 static char **demo_names;
-static image *demo_alphabet;
+static image **demo_alphabet;
 static int demo_classes;
 
 static float **probs;
@@ -94,7 +94,7 @@
 void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, int classes, int frame_skip, char *prefix)
 {
     //skip = frame_skip;
-    image *alphabet = load_alphabet();
+    image **alphabet = load_alphabet();
     int delay = frame_skip;
     demo_names = names;
     demo_alphabet = alphabet;
diff --git a/src/detector.c b/src/detector.c
index 1f48c61..e020be5 100644
--- a/src/detector.c
+++ b/src/detector.c
@@ -5,17 +5,18 @@
 #include "parser.h"
 #include "box.h"
 #include "demo.h"
+#include "option_list.h"
 
 #ifdef OPENCV
 #include "opencv2/highgui/highgui_c.h"
 #endif
 
-static char *voc_names[] = {"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"};
-
-void train_detector(char *cfgfile, char *weightfile)
+void train_detector(char *datacfg, char *cfgfile, char *weightfile, int clear)
 {
-    char *train_images = "/data/voc/train.txt";
-    char *backup_directory = "/home/pjreddie/backup/";
+    list *options = read_data_cfg(datacfg);
+    char *train_images = option_find_str(options, "train", "data/train.list");
+    char *backup_directory = option_find_str(options, "backup", "/backup/");
+
     srand(time(0));
     char *base = basecfg(cfgfile);
     printf("%s\n", base);
@@ -24,6 +25,7 @@
     if(weightfile){
         load_weights(&net, weightfile);
     }
+    if(clear) *net.seen = 0;
     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;
@@ -124,8 +126,13 @@
     }
 }
 
-void validate_detector(char *cfgfile, char *weightfile)
+void validate_detector(char *datacfg, char *cfgfile, char *weightfile)
 {
+    list *options = read_data_cfg(datacfg);
+    char *valid_images = option_find_str(options, "valid", "data/train.list");
+    char *name_list = option_find_str(options, "names", "data/names.list");
+    char **names = get_labels(name_list);
+
     network net = parse_network_cfg(cfgfile);
     if(weightfile){
         load_weights(&net, weightfile);
@@ -135,9 +142,7 @@
     srand(time(0));
 
     char *base = "results/comp4_det_test_";
-    //list *plist = get_paths("data/voc.2007.test");
-    list *plist = get_paths("/home/pjreddie/data/voc/2007_test.txt");
-    //list *plist = get_paths("data/voc.2012.test");
+    list *plist = get_paths(valid_images);
     char **paths = (char **)list_to_array(plist);
 
     layer l = net.layers[net.n-1];
@@ -147,7 +152,7 @@
     FILE **fps = calloc(classes, sizeof(FILE *));
     for(j = 0; j < classes; ++j){
         char buff[1024];
-        snprintf(buff, 1024, "%s%s.txt", base, voc_names[j]);
+        snprintf(buff, 1024, "%s%s.txt", base, names[j]);
         fps[j] = fopen(buff, "w");
     }
     box *boxes = calloc(l.w*l.h*l.n, sizeof(box));
@@ -224,7 +229,6 @@
     fprintf(stderr, "Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
     srand(time(0));
 
-    char *base = "results/comp4_det_test_";
     list *plist = get_paths("data/voc.2007.test");
     char **paths = (char **)list_to_array(plist);
 
@@ -232,12 +236,6 @@
     int classes = l.classes;
 
     int j, k;
-    FILE **fps = calloc(classes, sizeof(FILE *));
-    for(j = 0; j < classes; ++j){
-        char buff[1024];
-        snprintf(buff, 1024, "%s%s.txt", base, voc_names[j]);
-        fps[j] = fopen(buff, "w");
-    }
     box *boxes = calloc(l.w*l.h*l.n, sizeof(box));
     float **probs = calloc(l.w*l.h*l.n, sizeof(float *));
     for(j = 0; j < l.w*l.h*l.n; ++j) probs[j] = calloc(classes, sizeof(float *));
@@ -299,9 +297,13 @@
     }
 }
 
-void test_detector(char *cfgfile, char *weightfile, char *filename, float thresh)
+void test_detector(char *datacfg, char *cfgfile, char *weightfile, char *filename, float thresh)
 {
-    image *alphabet = load_alphabet();
+    list *options = read_data_cfg(datacfg);
+        char *name_list = option_find_str(options, "names", "data/names.list");
+        char **names = get_labels(name_list);
+
+    image **alphabet = load_alphabet();
     network net = parse_network_cfg(cfgfile);
     if(weightfile){
         load_weights(&net, weightfile);
@@ -335,8 +337,7 @@
         printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
         get_region_boxes(l, 1, 1, thresh, probs, boxes, 0);
         if (nms) do_nms_sort(boxes, probs, l.w*l.h*l.n, l.classes, nms);
-        //draw_detections(im, l.w*l.h*l.n, thresh, boxes, probs, voc_names, voc_labels, 20);
-        draw_detections(im, l.w*l.h*l.n, thresh, boxes, probs, voc_names, alphabet, 20);
+        draw_detections(im, l.w*l.h*l.n, thresh, boxes, probs, names, alphabet, l.classes);
         save_image(im, "predictions");
         show_image(im, "predictions");
 
@@ -360,13 +361,21 @@
         fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
         return;
     }
+    int clear = find_arg(argc, argv, "-clear");
 
-    char *cfg = argv[3];
-    char *weights = (argc > 4) ? argv[4] : 0;
-    char *filename = (argc > 5) ? argv[5]: 0;
-    if(0==strcmp(argv[2], "test")) test_detector(cfg, weights, filename, thresh);
-    else if(0==strcmp(argv[2], "train")) train_detector(cfg, weights);
-    else if(0==strcmp(argv[2], "valid")) validate_detector(cfg, weights);
+    char *datacfg = argv[3];
+    char *cfg = argv[4];
+    char *weights = (argc > 5) ? argv[5] : 0;
+    char *filename = (argc > 6) ? argv[6]: 0;
+    if(0==strcmp(argv[2], "test")) test_detector(datacfg, cfg, weights, filename, thresh);
+    else if(0==strcmp(argv[2], "train")) train_detector(datacfg, cfg, weights, clear);
+    else if(0==strcmp(argv[2], "valid")) validate_detector(datacfg, cfg, weights);
     else if(0==strcmp(argv[2], "recall")) validate_detector_recall(cfg, weights);
-    else if(0==strcmp(argv[2], "demo")) demo(cfg, weights, thresh, cam_index, filename, voc_names, 20, frame_skip, prefix);
+    else if(0==strcmp(argv[2], "demo")) {
+        list *options = read_data_cfg(datacfg);
+        int classes = option_find_int(options, "classes", 20);
+        char *name_list = option_find_str(options, "names", "data/names.list");
+        char **names = get_labels(name_list);
+        demo(cfg, weights, thresh, cam_index, filename, names, classes, frame_skip, prefix);
+    }
 }
diff --git a/src/image.c b/src/image.c
index 5286979..ad7c2d6 100644
--- a/src/image.c
+++ b/src/image.c
@@ -53,6 +53,7 @@
         for(y = 0; y < b.h; ++y){
             for(x = 0; x < b.w; ++x){
                 float val = get_pixel_extend(a, x - border, y - border, k);
+                if(x - border < 0 || x - border >= a.w || y - border < 0 || y - border >= a.h) val = 1;
                 set_pixel(b, x, y, k, val);
             }
         }
@@ -70,12 +71,13 @@
     return c;
 }
 
-image get_label(image *characters, char *string)
+image get_label(image **characters, char *string, int size)
 {
+    if(size > 7) size = 7;
     image label = make_empty_image(0,0,0);
     while(*string){
-        image l = characters[(int)*string];
-        image n = tile_images(label, l, -4);
+        image l = characters[size][(int)*string];
+        image n = tile_images(label, l, -size - 1 + (size+1)/2);
         free_image(label);
         label = n;
         ++string;
@@ -87,24 +89,19 @@
 
 void draw_label(image a, int r, int c, image label, const float *rgb)
 {
-    float ratio = (float) label.w / label.h;
-    int h = a.h * .04;
-    h = label.h;
-    h = a.h * .06;
-    int w = ratio * h;
-    image rl = resize_image(label, w, h);
+    int w = label.w;
+    int h = label.h;
     if (r - h >= 0) r = r - h;
 
     int i, j, k;
     for(j = 0; j < h && j + r < a.h; ++j){
         for(i = 0; i < w && i + c < a.w; ++i){
             for(k = 0; k < label.c; ++k){
-                float val = get_pixel(rl, i, j, k);
+                float val = get_pixel(label, i, j, k);
                 set_pixel(a, i+c, j+r, k, rgb[k] * val);
             }
         }
     }
-    free_image(rl);
 }
 
 void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)
@@ -164,19 +161,23 @@
     }
 }
 
-image *load_alphabet()
+image **load_alphabet()
 {
-    int i;
-    image *alphabet = calloc(128, sizeof(image));
-    for(i = 32; i < 127; ++i){
-        char buff[256];
-        sprintf(buff, "data/labels/%d.png", i);
-        alphabet[i] = load_image_color(buff, 0, 0);
+    int i, j;
+    const int nsize = 8;
+    image **alphabets = calloc(nsize, sizeof(image));
+    for(j = 0; j < nsize; ++j){
+        alphabets[j] = calloc(128, sizeof(image));
+        for(i = 32; i < 127; ++i){
+            char buff[256];
+            sprintf(buff, "data/labels/%d_%d.png", i, j);
+            alphabets[j][i] = load_image_color(buff, 0, 0);
+        }
     }
-    return alphabet;
+    return alphabets;
 }
 
-void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image *alphabet, int classes)
+void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes)
 {
     int i;
 
@@ -212,7 +213,7 @@
 
             draw_box_width(im, left, top, right, bot, width, red, green, blue);
             if (alphabet) {
-                image label = get_label(alphabet, names[class]);
+                image label = get_label(alphabet, names[class], (im.h*.03)/10);
                 draw_label(im, top + width, left, label, rgb);
             }
         }
diff --git a/src/image.h b/src/image.h
index 7e7ecf6..6e80ac2 100644
--- a/src/image.h
+++ b/src/image.h
@@ -22,7 +22,7 @@
 void draw_bbox(image a, box bbox, int w, float r, float g, float b);
 void draw_label(image a, int r, int c, image label, const float *rgb);
 void write_label(image a, int r, int c, image *characters, char *string, float *rgb);
-void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image *labels, int classes);
+void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image **labels, int classes);
 image image_distance(image a, image b);
 void scale_image(image m, float s);
 image crop_image(image im, int dx, int dy, int w, int h);
@@ -69,7 +69,7 @@
 image copy_image(image p);
 image load_image(char *filename, int w, int h, int c);
 image load_image_color(char *filename, int w, int h);
-image *load_alphabet();
+image **load_alphabet();
 
 float get_pixel(image m, int x, int y, int c);
 float get_pixel_extend(image m, int x, int y, int c);
diff --git a/src/layer.h b/src/layer.h
index e07ea42..e461fbc 100644
--- a/src/layer.h
+++ b/src/layer.h
@@ -101,8 +101,11 @@
     float *m_gpu;
     float *v_gpu;
     int t;
+    float *m;
+    float *v;
 
     tree *softmax_tree;
+    int  *map;
 
     float alpha;
     float beta;
@@ -112,6 +115,7 @@
     float object_scale;
     float noobject_scale;
     float class_scale;
+    int bias_match;
     int random;
 
     int dontload;
diff --git a/src/option_list.c b/src/option_list.c
index 7d68ead..f935af3 100644
--- a/src/option_list.c
+++ b/src/option_list.c
@@ -2,6 +2,35 @@
 #include <stdio.h>
 #include <string.h>
 #include "option_list.h"
+#include "utils.h"
+
+list *read_data_cfg(char *filename)
+{
+    FILE *file = fopen(filename, "r");
+    if(file == 0) file_error(filename);
+    char *line;
+    int nu = 0;
+    list *options = make_list();
+    while((line=fgetl(file)) != 0){
+        ++ nu;
+        strip(line);
+        switch(line[0]){
+            case '\0':
+            case '#':
+            case ';':
+                free(line);
+                break;
+            default:
+                if(!read_option(line, options)){
+                    fprintf(stderr, "Config file error line %d, could parse: %s\n", nu, line);
+                    free(line);
+                }
+                break;
+        }
+    }
+    fclose(file);
+    return options;
+}
 
 int read_option(char *s, list *options)
 {
diff --git a/src/option_list.h b/src/option_list.h
index d0417aa..054b3fd 100644
--- a/src/option_list.h
+++ b/src/option_list.h
@@ -9,6 +9,7 @@
 } kvp;
 
 
+list *read_data_cfg(char *filename);
 int read_option(char *s, list *options);
 void option_insert(list *l, char *key, char *val);
 char *option_find(list *l, char *key);
diff --git a/src/parser.c b/src/parser.c
index 44ba1c4..09eef42 100644
--- a/src/parser.c
+++ b/src/parser.c
@@ -232,6 +232,21 @@
     return layer;
 }
 
+int *read_map(char *filename)
+{
+    int n = 0;
+    int *map = 0;
+    char *str;
+    FILE *file = fopen(filename, "r");
+    if(!file) file_error(filename);
+    while((str=fgetl(file))){
+        ++n;
+        map = realloc(map, n*sizeof(int));
+        map[n-1] = atoi(str);
+    }
+    return map;
+}
+
 layer parse_region(list *options, size_params params)
 {
     int coords = option_find_int(options, "coords", 4);
@@ -256,6 +271,27 @@
     l.object_scale = option_find_float(options, "object_scale", 1);
     l.noobject_scale = option_find_float(options, "noobject_scale", 1);
     l.class_scale = option_find_float(options, "class_scale", 1);
+    l.bias_match = option_find_int_quiet(options, "bias_match",0);
+
+    char *tree_file = option_find_str(options, "tree", 0);
+    if (tree_file) l.softmax_tree = read_tree(tree_file);
+    char *map_file = option_find_str(options, "map", 0);
+    if (map_file) l.map = read_map(map_file);
+
+    char *a = option_find_str(options, "anchors", 0);
+    if(a){
+        int len = strlen(a);
+        int n = 1;
+        int i;
+        for(i = 0; i < len; ++i){
+            if (a[i] == ',') ++n;
+        }
+        for(i = 0; i < n; ++i){
+            float bias = atof(a);
+            l.biases[i] = bias;
+            a = strchr(a, ',')+1;
+        }
+    }
     return l;
 }
 detection_layer parse_detection(list *options, size_params params)
@@ -759,6 +795,10 @@
         fwrite(l.rolling_variance, sizeof(float), l.n, fp);
     }
     fwrite(l.weights, sizeof(float), num, fp);
+    if(l.adam){
+        fwrite(l.m, sizeof(float), num, fp);
+        fwrite(l.v, sizeof(float), num, fp);
+    }
 }
 
 void save_batchnorm_weights(layer l, FILE *fp)
@@ -937,13 +977,27 @@
         //return;
     }
     int num = l.n*l.c*l.size*l.size;
-    fread(l.biases, sizeof(float), l.n, fp);
-    if (l.batch_normalize && (!l.dontloadscales)){
-        fread(l.scales, sizeof(float), l.n, fp);
-        fread(l.rolling_mean, sizeof(float), l.n, fp);
-        fread(l.rolling_variance, sizeof(float), l.n, fp);
+    if(0){
+        fread(l.biases + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
+        if (l.batch_normalize && (!l.dontloadscales)){
+            fread(l.scales + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
+            fread(l.rolling_mean + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
+            fread(l.rolling_variance + ((l.n != 1374)?0:5), sizeof(float), l.n, fp);
+        }
+        fread(l.weights + ((l.n != 1374)?0:5*l.c*l.size*l.size), sizeof(float), num, fp);
+    }else{
+        fread(l.biases, sizeof(float), l.n, fp);
+        if (l.batch_normalize && (!l.dontloadscales)){
+            fread(l.scales, sizeof(float), l.n, fp);
+            fread(l.rolling_mean, sizeof(float), l.n, fp);
+            fread(l.rolling_variance, sizeof(float), l.n, fp);
+        }
+        fread(l.weights, sizeof(float), num, fp);
     }
-    fread(l.weights, sizeof(float), num, fp);
+    if(l.adam){
+        fread(l.m, sizeof(float), num, fp);
+        fread(l.v, sizeof(float), num, fp);
+    }
     //if(l.c == 3) scal_cpu(num, 1./256, l.weights, 1);
     if (l.flipped) {
         transpose_matrix(l.weights, l.c*l.size*l.size, l.n);
diff --git a/src/region_layer.c b/src/region_layer.c
index 5f8b3cc..c3935ca 100644
--- a/src/region_layer.c
+++ b/src/region_layer.c
@@ -48,11 +48,17 @@
     return l;
 }
 
+#define LOG 1
+
 box get_region_box(float *x, float *biases, int n, int index, int i, int j, int w, int h)
 {
     box b;
     b.x = (i + .5)/w + x[index + 0] * biases[2*n];
     b.y = (j + .5)/h + x[index + 1] * biases[2*n + 1];
+    if(LOG){
+        b.x = (i + logistic_activate(x[index + 0])) / w;
+        b.y = (j + logistic_activate(x[index + 1])) / h;
+    }
     b.w = exp(x[index + 2]) * biases[2*n];
     b.h = exp(x[index + 3]) * biases[2*n+1];
     return b;
@@ -65,11 +71,19 @@
 
     float tx = (truth.x - (i + .5)/w) / biases[2*n];
     float ty = (truth.y - (j + .5)/h) / biases[2*n + 1];
+    if(LOG){
+        tx = (truth.x*w - i);
+        ty = (truth.y*h - j);
+    }
     float tw = log(truth.w / biases[2*n]);
     float th = log(truth.h / biases[2*n + 1]);
 
     delta[index + 0] = scale * (tx - x[index + 0]);
     delta[index + 1] = scale * (ty - x[index + 1]);
+    if(LOG){
+        delta[index + 0] = scale * (tx - logistic_activate(x[index + 0])) * logistic_gradient(logistic_activate(x[index + 0]));
+        delta[index + 1] = scale * (ty - logistic_activate(x[index + 1])) * logistic_gradient(logistic_activate(x[index + 1]));
+    }
     delta[index + 2] = scale * (tw - x[index + 2]);
     delta[index + 3] = scale * (th - x[index + 3]);
     return iou;
@@ -85,8 +99,7 @@
     return (x != x);
 }
 
-#define LOG 0
-
+void softmax_tree(float *input, int batch, int inputs, float temp, tree *hierarchy, float *output);
 void forward_region_layer(const region_layer l, network_state state)
 {
     int i,j,b,t,n;
@@ -97,7 +110,9 @@
         for(i = 0; i < l.h*l.w*l.n; ++i){
             int index = size*i + b*l.outputs;
             l.output[index + 4] = logistic_activate(l.output[index + 4]);
-            if(l.softmax){
+            if(l.softmax_tree){
+                softmax_tree(l.output + index + 5, 1, 0, 1, l.softmax_tree, l.output + index + 5);
+            } else if(l.softmax){
                 softmax(l.output + index + 5, l.classes, 1, l.output + index + 5);
             }
         }
@@ -128,12 +143,12 @@
                     l.delta[index + 4] = l.noobject_scale * ((0 - l.output[index + 4]) * logistic_gradient(l.output[index + 4]));
                     if(best_iou > .5) l.delta[index + 4] = 0;
 
-                    if(*(state.net.seen) < 6400){
+                    if(*(state.net.seen) < 12800){
                         box truth = {0};
                         truth.x = (i + .5)/l.w;
                         truth.y = (j + .5)/l.h;
-                        truth.w = .5;
-                        truth.h = .5;
+                        truth.w = l.biases[2*n];
+                        truth.h = l.biases[2*n+1];
                         delta_region_box(truth, l.output, l.biases, n, index, i, j, l.w, l.h, l.delta, .01);
                         //l.delta[index + 0] = .1 * (0 - l.output[index + 0]);
                         //l.delta[index + 1] = .1 * (0 - l.output[index + 1]);
@@ -145,7 +160,7 @@
         }
         for(t = 0; t < 30; ++t){
             box truth = float_to_box(state.truth + t*5 + b*l.truths);
-            int class = state.truth[t*5 + b*l.truths + 4];
+
             if(!truth.x) break;
             float best_iou = 0;
             int best_index = 0;
@@ -160,7 +175,11 @@
             for(n = 0; n < l.n; ++n){
                 int index = size*(j*l.w*l.n + i*l.n + n) + b*l.outputs;
                 box pred = get_region_box(l.output, l.biases, n, index, i, j, l.w, l.h);
-                printf("pred: (%f, %f) %f x %f\n", pred.x*l.w - i - .5, pred.y * l.h - j - .5, pred.w, pred.h);
+                if(l.bias_match){
+                    pred.w = l.biases[2*n];
+                    pred.h = l.biases[2*n+1];
+                }
+                printf("pred: (%f, %f) %f x %f\n", pred.x, pred.y, pred.w, pred.h);
                 pred.x = 0;
                 pred.y = 0;
                 float iou = box_iou(pred, truth_shift);
@@ -170,7 +189,7 @@
                     best_n = n;
                 }
             }
-            printf("%d %f (%f, %f) %f x %f\n", best_n, best_iou, truth.x * l.w - i - .5, truth.y*l.h - j - .5, truth.w, truth.h);
+            printf("%d %f (%f, %f) %f x %f\n", best_n, best_iou, truth.x, truth.y, truth.w, truth.h);
 
             float iou = delta_region_box(truth, l.output, l.biases, best_n, best_index, i, j, l.w, l.h, l.delta, l.coord_scale);
             if(iou > .5) recall += 1;
@@ -182,41 +201,32 @@
             if (l.rescore) {
                 l.delta[best_index + 4] = l.object_scale * (iou - l.output[best_index + 4]) * logistic_gradient(l.output[best_index + 4]);
             }
-            //printf("%f\n", l.delta[best_index+1]);
-            /*
-               if(isnan(l.delta[best_index+1])){
-               printf("%f\n", true_scale);
-               printf("%f\n", l.output[best_index + 1]);
-               printf("%f\n", truth.w);
-               printf("%f\n", truth.h);
-               error("bad");
-               }
-             */
-            for(n = 0; n < l.classes; ++n){
-                l.delta[best_index + 5 + n] = l.class_scale * (((n == class)?1 : 0) - l.output[best_index + 5 + n]);
-                if(n == class) avg_cat += l.output[best_index + 5 + n];
-            }
-            /*
-               if(0){
-               printf("truth: %f %f %f %f\n", truth.x, truth.y, truth.w, truth.h);
-               printf("pred: %f %f %f %f\n\n", pred.x, pred.y, pred.w, pred.h);
-               float aspect = exp(true_aspect);
-               float scale  = logistic_activate(true_scale);
-               float move_x = true_dx;
-               float move_y = true_dy;
 
-               box b;
-               b.w = sqrt(scale * aspect);
-               b.h = b.w * 1./aspect;
-               b.x = move_x * b.w + (i + .5)/l.w;
-               b.y = move_y * b.h + (j + .5)/l.h;
-               printf("%f %f\n", b.x, truth.x);
-               printf("%f %f\n", b.y, truth.y);
-               printf("%f %f\n", b.w, truth.w);
-               printf("%f %f\n", b.h, truth.h);
-            //printf("%f\n", box_iou(b, truth));
+
+            int class = state.truth[t*5 + b*l.truths + 4];
+            if (l.map) class = l.map[class];
+            if(l.softmax_tree){
+                float pred = 1;
+                while(class >= 0){
+                    pred *= l.output[best_index + 5 + class];
+                    int g = l.softmax_tree->group[class];
+                    int i;
+                    int offset = l.softmax_tree->group_offset[g];
+                    for(i = 0; i < l.softmax_tree->group_size[g]; ++i){
+                        int index = best_index + 5 + offset + i;
+                        l.delta[index] = l.class_scale * (0 - l.output[index]);
+                    }
+                    l.delta[best_index + 5 + class] = l.class_scale * (1 - l.output[best_index + 5 + class]);
+
+                    class = l.softmax_tree->parent[class];
+                }
+                avg_cat += pred;
+            } else {
+                for(n = 0; n < l.classes; ++n){
+                    l.delta[best_index + 5 + n] = l.class_scale * (((n == class)?1 : 0) - l.output[best_index + 5 + n]);
+                    if(n == class) avg_cat += l.output[best_index + 5 + n];
+                }
             }
-             */
             ++count;
         }
     }
@@ -244,24 +254,31 @@
             int p_index = index * (l.classes + 5) + 4;
             float scale = predictions[p_index];
             int box_index = index * (l.classes + 5);
-            boxes[index].x = (predictions[box_index + 0] + col + .5) / l.w * w;
-            boxes[index].y = (predictions[box_index + 1] + row + .5) / l.h * h;
-            if(0){
-                boxes[index].x = (logistic_activate(predictions[box_index + 0]) + col) / l.w * w;
-                boxes[index].y = (logistic_activate(predictions[box_index + 1]) + row) / l.h * h;
-            }
-            boxes[index].w = pow(logistic_activate(predictions[box_index + 2]), (l.sqrt?2:1)) * w;
-            boxes[index].h = pow(logistic_activate(predictions[box_index + 3]), (l.sqrt?2:1)) * h;
-            if(1){
-                boxes[index].x = ((col + .5)/l.w + predictions[box_index + 0] * .5) * w;
-                boxes[index].y = ((row + .5)/l.h + predictions[box_index + 1] * .5) * h;
-                boxes[index].w = (exp(predictions[box_index + 2]) * .5) * w;
-                boxes[index].h = (exp(predictions[box_index + 3]) * .5) * h;
-            }
-            for(j = 0; j < l.classes; ++j){
-                int class_index = index * (l.classes + 5) + 5;
-                float prob = scale*predictions[class_index+j];
-                probs[index][j] = (prob > thresh) ? prob : 0;
+            boxes[index] = get_region_box(predictions, l.biases, n, box_index, col, row, l.w, l.h);
+            boxes[index].x *= w;
+            boxes[index].y *= h;
+            boxes[index].w *= w;
+            boxes[index].h *= h;
+
+            int class_index = index * (l.classes + 5) + 5;
+            if(l.softmax_tree){
+                
+                hierarchy_predictions(predictions + class_index, l.classes, l.softmax_tree, 0);
+                int found = 0;
+                for(j = l.classes - 1; j >= 0; --j){
+                    if(!found && predictions[class_index + j] > .5){
+                        found = 1;
+                    } else {
+                        predictions[class_index + j] = 0;
+                    }
+                    float prob = predictions[class_index+j];
+                    probs[index][j] = (scale > thresh) ? prob : 0;
+                }
+            }else{
+                for(j = 0; j < l.classes; ++j){
+                    float prob = scale*predictions[class_index+j];
+                    probs[index][j] = (prob > thresh) ? prob : 0;
+                }
             }
             if(only_objectness){
                 probs[index][0] = scale;
diff --git a/src/softmax_layer.c b/src/softmax_layer.c
index 31f3e03..0aa9047 100644
--- a/src/softmax_layer.c
+++ b/src/softmax_layer.c
@@ -32,21 +32,27 @@
     return l;
 }
 
+void softmax_tree(float *input, int batch, int inputs, float temp, tree *hierarchy, float *output)
+{
+    int b;
+    for(b = 0; b < batch; ++b){
+        int i;
+        int count = 0;
+        for(i = 0; i < hierarchy->groups; ++i){
+            int group_size = hierarchy->group_size[i];
+            softmax(input+b*inputs + count, group_size, temp, output+b*inputs + count);
+            count += group_size;
+        }
+    }
+}
+
 void forward_softmax_layer(const softmax_layer l, network_state state)
 {
     int b;
     int inputs = l.inputs / l.groups;
     int batch = l.batch * l.groups;
     if(l.softmax_tree){
-        for(b = 0; b < batch; ++b){
-            int i;
-            int count = 0;
-            for(i = 0; i < l.softmax_tree->groups; ++i){
-                int group_size = l.softmax_tree->group_size[i];
-                softmax(state.input+b*inputs + count, group_size, l.temperature, l.output+b*inputs + count);
-                count += group_size;
-            }
-        }
+        softmax_tree(state.input, batch, inputs, l.temperature, l.softmax_tree, l.output);
     } else {
         for(b = 0; b < batch; ++b){
             softmax(state.input+b*inputs, inputs, l.temperature, l.output+b*inputs);
diff --git a/src/tree.c b/src/tree.c
index 5a758f7..cd9fcd1 100644
--- a/src/tree.c
+++ b/src/tree.c
@@ -2,6 +2,43 @@
 #include <stdlib.h>
 #include "tree.h"
 #include "utils.h"
+#include "data.h"
+
+void change_leaves(tree *t, char *leaf_list)
+{
+    list *llist = get_paths(leaf_list);
+    char **leaves = (char **)list_to_array(llist);
+    int n = llist->size;
+    int i,j;
+    int found = 0;
+    for(i = 0; i < t->n; ++i){
+        t->leaf[i] = 0;
+        for(j = 0; j < n; ++j){
+            if (0==strcmp(t->name[i], leaves[j])){
+                t->leaf[i] = 1;
+                ++found;
+                break;
+            }
+        }
+    }
+    fprintf(stderr, "Found %d leaves.\n", found);
+}
+
+void hierarchy_predictions(float *predictions, int n, tree *hier, int only_leaves)
+{
+    int j;
+    for(j = 0; j < n; ++j){
+        int parent = hier->parent[j];
+        if(parent >= 0){
+            predictions[j] *= predictions[parent]; 
+        }
+    }
+    if(only_leaves){
+        for(j = 0; j < n; ++j){
+            if(!hier->leaf[j]) predictions[j] = 0;
+        }
+    }
+}
 
 tree *read_tree(char *filename)
 {
@@ -19,19 +56,26 @@
         sscanf(line, "%s %d", id, &parent);
         t.parent = realloc(t.parent, (n+1)*sizeof(int));
         t.parent[n] = parent;
+
         t.name = realloc(t.name, (n+1)*sizeof(char *));
         t.name[n] = id;
         if(parent != last_parent){
             ++groups;
+            t.group_offset = realloc(t.group_offset, groups * sizeof(int));
+            t.group_offset[groups - 1] = n - group_size;
             t.group_size = realloc(t.group_size, groups * sizeof(int));
             t.group_size[groups - 1] = group_size;
             group_size = 0;
             last_parent = parent;
         }
+        t.group = realloc(t.group, (n+1)*sizeof(int));
+        t.group[n] = groups;
         ++n;
         ++group_size;
     }
     ++groups;
+    t.group_offset = realloc(t.group_offset, groups * sizeof(int));
+    t.group_offset[groups - 1] = n - group_size;
     t.group_size = realloc(t.group_size, groups * sizeof(int));
     t.group_size[groups - 1] = group_size;
     t.n = n;
diff --git a/src/tree.h b/src/tree.h
index c713866..b0b0ece 100644
--- a/src/tree.h
+++ b/src/tree.h
@@ -5,12 +5,16 @@
     int *leaf;
     int n;
     int *parent;
+    int *group;
     char **name;
 
     int groups;
     int *group_size;
+    int *group_offset;
 } tree;
 
 tree *read_tree(char *filename);
+void hierarchy_predictions(float *predictions, int n, tree *hier, int only_leaves);
+void change_leaves(tree *t, char *leaf_list);
 
 #endif
diff --git a/src/yolo.c b/src/yolo.c
index fd2fccc..05f2be6 100644
--- a/src/yolo.c
+++ b/src/yolo.c
@@ -284,7 +284,7 @@
 
 void test_yolo(char *cfgfile, char *weightfile, char *filename, float thresh)
 {
-    image *alphabet = load_alphabet();
+    image **alphabet = load_alphabet();
     network net = parse_network_cfg(cfgfile);
     if(weightfile){
         load_weights(&net, weightfile);

--
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