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 |   27 +++++++++++++++------------
 1 files changed, 15 insertions(+), 12 deletions(-)

diff --git a/src/yolo.c b/src/yolo.c
index 86b132b..02c4fba 100644
--- a/src/yolo.c
+++ b/src/yolo.c
@@ -10,10 +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"};
+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);
@@ -254,9 +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;
@@ -270,7 +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");
@@ -343,8 +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_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);
@@ -393,16 +395,17 @@
 #endif
  */
 
-void demo_yolo(char *cfgfile, char *weightfile, float thresh, int cam_index);
-#ifndef GPU
-void demo_yolo(char *cfgfile, char *weightfile, float thresh, int cam_index)
-{
-    fprintf(stderr, "Darknet must be compiled with CUDA for YOLO demo.\n");
-}
-#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){
@@ -417,5 +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, cam_index);
+    else if(0==strcmp(argv[2], "demo")) demo_yolo(cfg, weights, thresh, cam_index, filename);
 }

--
Gitblit v1.10.0