Update readme.md

readme.md

@@ -1,16 +1,15 @@
-<center>
-    <h1><code>bluenoise-rs</code></h1>
-    <img src="https://img.shields.io/crates/v/bluenoise?style=flat-square"/>
-    <img src="https://img.shields.io/crates/l/bluenoise?style=flat-square"/>
-</center>
+# bluenoise-rs
+
+![version](https://img.shields.io/crates/v/bluenoise?style=flat-square)
+![license](https://img.shields.io/crates/l/bluenoise?style=flat-square)
 
 `bluenoise` provides an implementation of poisson disk sampling
 in two dimensions, with `glam` as the underlying maths library.
 It aims to be fast, well documented and easy to use, taking
 advantage of [a few optimisations](http://extremelearning.com.au/an-improved-version-of-bridsons-algorithm-n-for-poisson-disc-sampling/)
 to dramatically speed up compute speed.
 
-## Get Started
+## Get Started
 
 To get started, if you have [`cargo-edit`](https://github.com/killercup/cargo-edit), simply run: