From a08ef29e085236f13fd04246c6774f9682a56208 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Fri, 10 Jul 2015 23:38:14 +0000
Subject: [PATCH] NIGHTMARE!!!!

---
 src/darknet.c |   71 +++++++++++++++--------------------
 1 files changed, 30 insertions(+), 41 deletions(-)

diff --git a/src/darknet.c b/src/darknet.c
index 0cd6153..a34ccfb 100644
--- a/src/darknet.c
+++ b/src/darknet.c
@@ -11,42 +11,9 @@
 
 extern void run_imagenet(int argc, char **argv);
 extern void run_detection(int argc, char **argv);
+extern void run_writing(int argc, char **argv);
 extern void run_captcha(int argc, char **argv);
-
-void del_arg(int argc, char **argv, int index)
-{
-    int i;
-    for(i = index; i < argc-1; ++i) argv[i] = argv[i+1];
-    argv[i] = 0;
-}
-
-int find_arg(int argc, char* argv[], char *arg)
-{
-    int i;
-    for(i = 0; i < argc; ++i) {
-        if(!argv[i]) continue;
-        if(0==strcmp(argv[i], arg)) {
-            del_arg(argc, argv, i);
-            return 1;
-        }
-    }
-    return 0;
-}
-
-int find_int_arg(int argc, char **argv, char *arg, int def)
-{
-    int i;
-    for(i = 0; i < argc-1; ++i){
-        if(!argv[i]) continue;
-        if(0==strcmp(argv[i], arg)){
-            def = atoi(argv[i+1]);
-            del_arg(argc, argv, i);
-            del_arg(argc, argv, i);
-            break;
-        }
-    }
-    return def;
-}
+extern void run_nightmare(int argc, char **argv);
 
 void change_rate(char *filename, float scale, float add)
 {
@@ -68,17 +35,28 @@
     if(weightfile){
         load_weights_upto(&net, weightfile, max);
     }
-    //net.seen = 0;
+    net.seen = 0;
     save_weights(net, outfile);
 }
 
-void convert(char *cfgfile, char *outfile, char *weightfile)
+#include "convolutional_layer.h"
+void rgbgr_filters(convolutional_layer l);
+void rgbgr_net(char *cfgfile, char *weightfile, char *outfile)
 {
+    gpu_index = -1;
     network net = parse_network_cfg(cfgfile);
     if(weightfile){
         load_weights(&net, weightfile);
     }
-    save_network(net, outfile);
+    int i;
+    for(i = 0; i < net.n; ++i){
+        layer l = net.layers[i];
+        if(l.type == CONVOLUTIONAL){
+            rgbgr_filters(l);
+            break;
+        }
+    }
+    save_weights(net, outfile);
 }
 
 void visualize(char *cfgfile, char *weightfile)
@@ -88,12 +66,15 @@
         load_weights(&net, weightfile);
     }
     visualize_network(net);
+    #ifdef OPENCV
     cvWaitKey(0);
+    #endif
 }
 
 int main(int argc, char **argv)
 {
-    //test_resize(argv[1]);
+    //test_resize("data/bad.jpg");
+    //test_box();
     //test_convolutional_layer();
     if(argc < 2){
         fprintf(stderr, "usage: %s <function>\n", argv[0]);
@@ -114,16 +95,24 @@
         run_imagenet(argc, argv);
     } else if (0 == strcmp(argv[1], "detection")){
         run_detection(argc, argv);
+    } else if (0 == strcmp(argv[1], "writing")){
+        run_writing(argc, argv);
+    } else if (0 == strcmp(argv[1], "test")){
+        test_resize(argv[2]);
     } else if (0 == strcmp(argv[1], "captcha")){
         run_captcha(argc, argv);
+    } else if (0 == strcmp(argv[1], "nightmare")){
+        run_nightmare(argc, argv);
     } else if (0 == strcmp(argv[1], "change")){
         change_rate(argv[2], atof(argv[3]), (argc > 4) ? atof(argv[4]) : 0);
-    } else if (0 == strcmp(argv[1], "convert")){
-        convert(argv[2], argv[3], (argc > 4) ? argv[4] : 0);
+    } else if (0 == strcmp(argv[1], "rgbgr")){
+        rgbgr_net(argv[2], argv[3], argv[4]);
     } else if (0 == strcmp(argv[1], "partial")){
         partial(argv[2], argv[3], argv[4], atoi(argv[5]));
     } else if (0 == strcmp(argv[1], "visualize")){
         visualize(argv[2], (argc > 3) ? argv[3] : 0);
+    } else if (0 == strcmp(argv[1], "imtest")){
+        test_resize(argv[2]);
     } else {
         fprintf(stderr, "Not an option: %s\n", argv[1]);
     }

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