From 09fdb67d66b7d405a02fc5e73b13b0e4a08583a2 Mon Sep 17 00:00:00 2001
From: Alexey <AlexeyAB@users.noreply.github.com>
Date: Sun, 04 Mar 2018 22:43:56 +0000
Subject: [PATCH] Update Readme.md

---
 README.md |    3 ++-
 1 files changed, 2 insertions(+), 1 deletions(-)

diff --git a/README.md b/README.md
index 7e3fd65..4e4cbb8 100644
--- a/README.md
+++ b/README.md
@@ -196,7 +196,7 @@
 
 6. Set `batch=64` and `subdivisions=8` in the file `yolo-voc.2.0.cfg`: [link](https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/yolo-voc.2.0.cfg#L2)
 
-7. Start training by using `train_voc.cmd` or by using the command line: `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg darknet19_448.conv.23` (**Note:** If you are using CPU, try `darknet_no_gpu.exe` instead of `darknet.exe`.)
+7. Start training by using `train_voc.cmd` or by using the command line: `darknet.exe detector train data/voc.data yolo-voc.2.0.cfg darknet19_448.conv.23` (**Note:** To disable Loss-Window use flag `-dont_show`. If you are using CPU, try `darknet_no_gpu.exe` instead of `darknet.exe`.)
 
 If required change pathes in the file `build\darknet\x64\data\voc.data`
 
@@ -274,6 +274,7 @@
 8. Start training by using the command line: `darknet.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23`
 
     (file `yolo-obj_xxx.weights` will be saved to the `build\darknet\x64\backup\` for each 100 iterations)
+    (To disable Loss-Window use `darknet.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23 -dont_show`, if you train on computer without monitor like a cloud Amazaon EC2)
 
 9. After training is complete - get result `yolo-obj_final.weights` from path `build\darknet\x64\backup\`
 

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