From 782f1754c058663a373e614a73e6192b81851f9b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Peter=20Babi=C4=8D?= <babicpet@gmail.com>
Date: Sun, 26 Apr 2015 23:38:37 +0200
Subject: [PATCH] readme image update

---
 README.md | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 6433cc7..819c6de 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,5 @@ The SVM type used is **C-SVC** (multi-class classification), with the **radial b
 
 ## 2D visualisation
 When the third parameter (initial gun orientation) of the roaming robot is omitted, we can generate *sample* visualisation of the result of this classification. Our experiments were indicating, that this parameter has low (about 2%) significance on the output of the battle.
-<div style="text-align: center;">
-<img src="https://github.com/delmadord/robocode_svm/blob/master/extras/visualize2D.png" alt="2D visualisation" />
-</div>
+![2D visualisation](https://github.com/delmadord/robocode_svm/blob/master/extras/visualize2D.png)
 The visualisation color shows, which robot is likely to win, when the roaming one starts on given position on the battlefield. You can estimate the coordinates on the image and run script with the `--battle` parameter to prove the classification.