Update README.md

Author: jacobbieker

README.md

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 # lofarnn
 Second Master's Research Project for Leiden University, focused on attempting to use machine learning to identify radio sources and optical counterparts in LOFAR data
 
+# Installation
+
+The easiest way to install this package is with ```pip``` with ```pip install lofarnn```.
+
+Otherwise, the lastest code can be built with ```pip install git+https://github.com//jacobbieker/lofarnn.git```
+
+# Usage
+
+The different PyTorch models and datasets can be easily imported from the ```lofarnn``` package. To preprocess LOFAR data into the correct format for either CNN or Detectron2 models, example code can be found under ```analysis``` folder.
+
 # Models
 PyTorch models used in the thesis are available here: https://drive.google.com/drive/folders/1lCFcQT7WRTiMxfd8jL2ReCoJrNAhj4BW?usp=sharing. The best performing model is the ```multi_cnn.pth``` model.