From 8db97300e1cd778e084905281e6dd5347d4ff9f1 Mon Sep 17 00:00:00 2001
From: Biparnak Roy <54219771+biparnakroy@users.noreply.github.com>
Date: Sat, 18 Jul 2020 05:29:33 +0530
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 723211f..17ccbf0 100644
--- a/README.md
+++ b/README.md
@@ -203,8 +203,8 @@ where
 *  ```<kind-of-network>``` is the type of network. Thee types are currently supported: ```y``` (YOLO family), ```c``` (CenterNet family) and ```m``` (MobileNet-SSD family)
 *  ```<number-of-classes>```is the number of classes the network is trained on
 *  ```<n-batches>``` number of batches to use in inference (N.B. you should first export TKDNN_BATCHSIZE to the required n_batches and create again the rt file for the network).
-*  ```<show-flag>``` if set to 0 the demo will not show the visualization but save the video into result.mp4 (if n-batches ==1)
-* ```<save-flag>``` if set to 0 the results will be saved and if set to 1 then the results will not be saved.
+*  ```<show-flag>``` if set to 0 the demo will not show the visualization.
+* ```<save-flag>``` if set to 0 the results will be saved into result.mp4 (if n-batches ==1) and if set to 1 then the results will not be saved.
 * ```<http-stream-port>``` if set to 0 then http stream will be  off but if port number is given eg: 8090 then the stream can seen in ```https://localhost:8090```
 
 N.b. By default it is used FP32 inference