Added more information to README.md

README.md

 # SkinDetector
-A Python based skin detection system using OpenCV
+============
+This is a python based skin detection system using OpenCV, 
+
+
+## Quick Start
+Getting the app to run is pretty easy, just clone the repo, install requirements, and then run! This script
+will not install OpenCV, to do that, the following commands must be used, 
+
+```bash
+ sudo apt-get install build-essential
+sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
+sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
+git clone https://github.com/Itseez/opencv.git
+~/opencv
+mkdir release
+cd release
+cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
+make
+sudo make install
+```
+
+To install the rest of the project dependencies and run 
+
+```bash
+# Clone the repo
+git clone https://github.com/WillBrennan/SkinDetector && cd SkinDetector
+# Install requirements
+python setup.py install
+# Run the bot
+python test_images.py
+```
+## Usage
+Usage of this as  a submodule is simple, just clone into your projects directory (or preferably add as a git submodule), and your ready to go. Below
+is an example code usage.
+
+```python
+import os
+import cv2
+import numpy
+import SkinDetector
+
+img_path = raw_input("Please Enter Image Path")
+assert os.path.exists(img_path), "img_path does not exsist"
+image = cv2.imread(img_path)
+mask = SkinDetector.process(image)
+cv2.imshow("input", image)
+cv2.imshow("mask", mask)
+cv2.waitKey(0)
+```
+
+## References
+