Added [net] max_chart_loss=50 for scale y-axis of Loss-chart

include/darknet.h

@@ -711,6 +711,7 @@ typedef struct network {
     int attention;
     int adversarial;    
     float adversarial_lr;
+    float max_chart_loss;
     int letter_box;
     float angle;
     float aspect;

src/classifier.c

@@ -116,7 +116,7 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
 #ifdef OPENCV
     //args.threads = 3;
     mat_cv* img = NULL;
-    float max_img_loss = 10;
+    float max_img_loss = net.max_chart_loss;
     int number_of_lines = 100;
     int img_size = 1000;
     char windows_name[100];

src/detector.c

@@ -154,7 +154,7 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
     args.threads = 6 * ngpus;   // 3 for - Amazon EC2 Tesla V100: p3.2xlarge (8 logical cores) - p3.16xlarge
     //args.threads = 12 * ngpus;    // Ryzen 7 2700X (16 logical cores)
     mat_cv* img = NULL;
-    float max_img_loss = 5;
+    float max_img_loss = net.max_chart_loss;
     int number_of_lines = 100;
     int img_size = 1000;
     char windows_name[100];

src/parser.c

@@ -1118,6 +1118,7 @@ void parse_net_options(list *options, network *net)
     net->resize_step = option_find_float_quiet(options, "resize_step", 32);
     net->attention = option_find_int_quiet(options, "attention", 0);
     net->adversarial_lr = option_find_float_quiet(options, "adversarial_lr", 0);
+    net->max_chart_loss = option_find_float_quiet(options, "max_chart_loss", 5.0);
 
     net->angle = option_find_float_quiet(options, "angle", 0);
     net->aspect = option_find_float_quiet(options, "aspect", 1);