Update README.md

README.md

@@ -7,6 +7,17 @@
 
 This is a Julia implementation of [Viola-Jones' Object Detection algorithm](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.6807).  Although there is an [OpenCV port in Julia](https://github.com/JuliaOpenCV/OpenCV.jl), it seems to be ill-maintained.  As this algorithm was created for commercial use, there seem to be few widely-used or well-documented implementations of it on GitHub.  The implementation this repository is based off is [Simon Hohberg's Pythonic repository](https://github.com/Simon-Hohberg/Viola-Jones), as it seems to be well written (amd the most starred Python implementation on GitHub, though this is not necessarily a good measure), and Julia and Python alike are easy to read and write in — my thinking was that this would be easy enough to replicate in Julia, except for Pythonic classes, where I would have to use `struct`s (or at least easier to replicate from than, for example, [C++](https://github.com/alexdemartos/ViolaAndJones) or [JS](https://github.com/foo123/HAAR.js) — two other hgihly-starred repositories.).
 
+
+## Installation and Set Up
+
+Run the following in terminal:
+```bash
+cd ${HOME}
+git clone https://github.com/jakewilliami/FaceDetection.jl.git/
+cd FaceDetection.jl
+bash setup.sh
+```
+
 ## How it works
 
 In an over-simplified manner, the Viola-Jones algorithm has some four stages:
@@ -21,11 +32,3 @@ In an over-simplified manner, the Viola-Jones algorithm has some four stages:
  4. Finally, this algorithm uses [Cascading Classifiers](https://en.wikipedia.org/wiki/Cascading_classifiers) to identify faces.  (See page 12 of the original paper for the specific cascade).
 
 For a better explanation, read [the paper from 2001](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.6807), or see [the Wikipedia page](https://en.wikipedia.org/wiki/Viola%E2%80%93Jones_object_detection_framework) on this algorithm.
-
-## Setting Up
-
-Run in Terminal
-```
-chmod u+x setup.sh
-./setup.sh
-```