From 68213b835b9f15cb449ad2037a8b51c17a3de07b Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 14 Mar 2016 22:10:14 +0000
Subject: [PATCH] Makefile

---
 src/yolo.c |   75 ++++++++++---------------------------
 1 files changed, 21 insertions(+), 54 deletions(-)

diff --git a/src/yolo.c b/src/yolo.c
index 2abfa13..02c4fba 100644
--- a/src/yolo.c
+++ b/src/yolo.c
@@ -10,43 +10,11 @@
 #endif
 
 char *voc_names[] = {"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"};
-
-void draw_yolo(image im, int num, float thresh, box *boxes, float **probs, char *label)
-{
-    int classes = 20;
-    int i;
-
-    for(i = 0; i < num; ++i){
-        int class = max_index(probs[i], classes);
-        float prob = probs[i][class];
-        if(prob > thresh){
-            int width = pow(prob, 1./2.)*10;
-            printf("%f %s\n", prob, voc_names[class]);
-            float red = get_color(0,class,classes);
-            float green = get_color(1,class,classes);
-            float blue = get_color(2,class,classes);
-            //red = green = blue = 0;
-            box b = boxes[i];
-
-            int left  = (b.x-b.w/2.)*im.w;
-            int right = (b.x+b.w/2.)*im.w;
-            int top   = (b.y-b.h/2.)*im.h;
-            int bot   = (b.y+b.h/2.)*im.h;
-
-            if(left < 0) left = 0;
-            if(right > im.w-1) right = im.w-1;
-            if(top < 0) top = 0;
-            if(bot > im.h-1) bot = im.h-1;
-
-            draw_box_width(im, left, top, right, bot, width, red, green, blue);
-        }
-    }
-    show_image(im, label);
-}
+image voc_labels[20];
 
 void train_yolo(char *cfgfile, char *weightfile)
 {
-    char *train_images = "data/voc.0712.trainval";
+    char *train_images = "/data/voc/train.txt";
     char *backup_directory = "/home/pjreddie/backup/";
     srand(time(0));
     data_seed = time(0);
@@ -97,21 +65,13 @@
 
         printf("Loaded: %lf seconds\n", sec(clock()-time));
 
-        /*
-           image im = float_to_image(net.w, net.h, 3, train.X.vals[113]);
-           image copy = copy_image(im);
-           draw_yolo(copy, train.y.vals[113], 7, "truth");
-           cvWaitKey(0);
-           free_image(copy);
-         */
-
         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){
+        if(i%1000==0 || i == 600){
             char buff[256];
             sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);
             save_weights(net, buff);
@@ -183,8 +143,8 @@
     srand(time(0));
 
     char *base = "results/comp4_det_test_";
-    //list *plist = get_paths("data/voc.2007.test");
-    list *plist = get_paths("data/voc.2012.test");
+    list *plist = get_paths("data/voc.2007.test");
+    //list *plist = get_paths("data/voc.2012.test");
     char **paths = (char **)list_to_array(plist);
 
     layer l = net.layers[net.n-1];
@@ -295,9 +255,8 @@
     int i=0;
 
     float thresh = .001;
-    int nms = 0;
     float iou_thresh = .5;
-    float nms_thresh = .5;
+    float nms = 0;
 
     int total = 0;
     int correct = 0;
@@ -311,7 +270,7 @@
         char *id = basecfg(path);
         float *predictions = network_predict(net, sized.data);
         convert_yolo_detections(predictions, classes, l.n, square, side, 1, 1, thresh, probs, boxes, 1);
-        if (nms) do_nms(boxes, probs, side*side*l.n, 1, nms_thresh);
+        if (nms) do_nms(boxes, probs, side*side*l.n, 1, nms);
 
         char *labelpath = find_replace(path, "images", "labels");
         labelpath = find_replace(labelpath, "JPEGImages", "labels");
@@ -384,7 +343,10 @@
         printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
         convert_yolo_detections(predictions, l.classes, l.n, l.sqrt, l.side, 1, 1, thresh, probs, boxes, 0);
         if (nms) do_nms_sort(boxes, probs, l.side*l.side*l.n, l.classes, nms);
-        draw_yolo(im, l.side*l.side*l.n, thresh, boxes, probs, "predictions");
+        //draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, voc_names, voc_labels, 20);
+        draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, voc_names, 0, 20);
+        show_image(im, "predictions");
+        save_image(im, "predictions");
 
         show_image(sized, "resized");
         free_image(im);
@@ -433,14 +395,19 @@
 #endif
  */
 
-void demo_yolo(char *cfgfile, char *weightfile, float thresh);
-#ifndef GPU
-void demo_yolo(char *cfgfile, char *weightfile, float thresh){}
-#endif
+void demo_yolo(char *cfgfile, char *weightfile, float thresh, int cam_index, char *filename);
 
 void run_yolo(int argc, char **argv)
 {
+    int i;
+    for(i = 0; i < 20; ++i){
+        char buff[256];
+        sprintf(buff, "data/labels/%s.png", voc_names[i]);
+        voc_labels[i] = load_image_color(buff, 0, 0);
+    }
+
     float thresh = find_float_arg(argc, argv, "-thresh", .2);
+    int cam_index = find_int_arg(argc, argv, "-c", 0);
     if(argc < 4){
         fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
         return;
@@ -453,5 +420,5 @@
     else if(0==strcmp(argv[2], "train")) train_yolo(cfg, weights);
     else if(0==strcmp(argv[2], "valid")) validate_yolo(cfg, weights);
     else if(0==strcmp(argv[2], "recall")) validate_yolo_recall(cfg, weights);
-    else if(0==strcmp(argv[2], "demo")) demo_yolo(cfg, weights, thresh);
+    else if(0==strcmp(argv[2], "demo")) demo_yolo(cfg, weights, thresh, cam_index, filename);
 }

--
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