From 0b4c38f631db13e2db18423e9a12ec4885f03b8b Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Fri, 31 Jul 2015 05:12:29 +0000
Subject: [PATCH] Set default subdivisions to be larger

---
 src/detection.c |   32 +++++++-------------------------
 1 files changed, 7 insertions(+), 25 deletions(-)

diff --git a/src/detection.c b/src/detection.c
index b57f597..55c75de 100644
--- a/src/detection.c
+++ b/src/detection.c
@@ -51,6 +51,8 @@
 
 void train_detection(char *cfgfile, char *weightfile)
 {
+    char *train_images = "/home/pjreddie/data/voc/test/train.txt";
+    char *backup_directory = "/home/pjreddie/backup/";
     srand(time(0));
     data_seed = time(0);
     char *base = basecfg(cfgfile);
@@ -71,7 +73,7 @@
     int side = sqrt(get_detection_layer_locations(layer));
 
     char **paths;
-    list *plist = get_paths("/home/pjreddie/data/voc/test/train.txt");
+    list *plist = get_paths(train_images);
     int N = plist->size;
 
     paths = (char **)list_to_array(plist);
@@ -96,26 +98,26 @@
             fprintf(stderr, "Starting second stage...\n");
             net.learning_rate *= 10;
             char buff[256];
-            sprintf(buff, "/home/pjreddie/imagenet_backup/%s_first_stage.weights", base);
+            sprintf(buff, "%s/%s_first_stage.weights", backup_directory, base);
             save_weights(net, buff);
         }
         if((i-1)*imgs <= 80*N && i*imgs > N*80){
             fprintf(stderr, "Second stage done.\n");
             net.learning_rate *= .1;
             char buff[256];
-            sprintf(buff, "/home/pjreddie/imagenet_backup/%s_second_stage.weights", base);
+            sprintf(buff, "%s/%s_second_stage.weights", backup_directory, base);
             save_weights(net, buff);
             return;
         }
         if(i%1000==0){
             char buff[256];
-            sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i);
+            sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);
             save_weights(net, buff);
         }
         free_data(train);
     }
     char buff[256];
-    sprintf(buff, "/home/pjreddie/imagenet_backup/%s_final.weights",base);
+    sprintf(buff, "%s/%s_final.weights", backup_directory, base);
     save_weights(net, buff);
 }
 
@@ -141,26 +143,6 @@
     }
 }
 
-void do_nms(box *boxes, float **probs, int num_boxes, int classes, float thresh)
-{
-    int i, j, k;
-    for(i = 0; i < num_boxes*num_boxes; ++i){
-        int any = 0;
-        for(k = 0; k < classes; ++k) any = any || (probs[i][k] > 0);
-        if(!any) {
-            continue;
-        }
-        for(j = i+1; j < num_boxes*num_boxes; ++j){
-            if (box_iou(boxes[i], boxes[j]) > thresh){
-                for(k = 0; k < classes; ++k){
-                    if (probs[i][k] < probs[j][k]) probs[i][k] = 0;
-                    else probs[j][k] = 0;
-                }
-            }
-        }
-    }
-}
-
 void print_detections(FILE **fps, char *id, box *boxes, float **probs, int num_boxes, int classes, int w, int h)
 {
     int i, j;

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