--- a/README.md
+++ b/README.md
@@ -1,103 +1,101 @@
-# MediAug
-
-## Overview
-
-MediAug is a set of tools for data augmentation of histology
-slides. It is primaraly developed for cervical cancer by
-augmenting Pap smear slides. However, it can be extended to
-any cell data that has an image and mask of different types of
-cells. Currently supports general image augmentation techniques
-as well as specialized ones like cell insertion and blending.
-
-![example_cell](docs/project_writeup/images/augment/example_cell.png)
-
-## Installation
-
-To install:
-
-```bash
-$ git clone https://github.com/smwade/MediAug
-$ python setup.py install
-```
-
-## Datasets
-
-There are two main open datasets for Pap smear images and MediAug is able to support both.
-
-###  SMEAR
-
-The SMEAR dataset is 917 indavidual cells. They are segmented by nucleus and cytoplasm.
-
-<https://mde-lab.aegean.gr/downloads>
-
-### SPIaKMeD
-
-The SIPaKMeD Database consists of 4049 images of isolated cells that have been manually cropped from 966 cluster cell images of Pap smear slides. These images were acquired through a CCD camera adapted to an optical microscope. The cell images are divided into five categories containing normal, abnormal and benign cells.
-
-<http://cs.uoi.gr/~marina/sipakmed.html>
-
-
-## Custom Dataset
-
-The data pipeline can work with other datasets besides SIPaKMed and SMEAR. In order to
-use another, you must convert the data to the correct format.
-
-```
-slides/
-  metaplastic/
-    image/
-    mask/
-  parabasal/
-    image/
-    mask/
-  ...
-```
-
-And for cells:
-
-```
-cells/
-  metaplastic/
-    image/
-    mask/
-  parabasal/
-    image/
-    mask/
-  ...
-```
-
-## Notebooks
-
-To show the library in action there are several notebooks that address key aspects of the library, such as what is a dataset, using Operations, and creating a Pipeline. These are found in `notebooks/`
-
-## CLI
-
-MediAug comes with a CLI with useful scripts. These include:
-
-* generate-augment-dataset
-* prepare-pix2pix-images
-* resize-images
-
-The list of all can be seen with the command
-
-```bash
-$ mediaug --help
-```
-
-### Generate cell augmented dataset
-
-```bash
-$ mediaug generate-augment-dataset --slide_dir <slide_dir> --cell_dir <cell_dir> --out_dir <out_dir> --num 1000 --max_cells <10>
-```
-
-### Prepare images for Pix2Pix
-
-```bash
-$ mediaug prepare-pix2pix-images --image_dir <image_dir> --mask_dir <mask_dir> --out_dir <out_dir> --split_ratio <split_ratio>
-```
-
-### Recursivly resize all images in directory
-
-```bash
-$ mediaug resize-images --input_dir <input_dir> --out_dir <out_dir> --w 256 --height 256
-```
+# MediAug
+
+## Overview
+
+MediAug is a set of tools for data augmentation of histology
+slides. It is primaraly developed for cervical cancer by
+augmenting Pap smear slides. However, it can be extended to
+any cell data that has an image and mask of different types of
+cells. Currently supports general image augmentation techniques
+as well as specialized ones like cell insertion and blending.
+
+## Installation
+
+To install:
+
+```bash
+$ git clone https://github.com/smwade/MediAug
+$ python setup.py install
+```
+
+## Datasets
+
+There are two main open datasets for Pap smear images and MediAug is able to support both.
+
+###  SMEAR
+
+The SMEAR dataset is 917 indavidual cells. They are segmented by nucleus and cytoplasm.
+
+<https://mde-lab.aegean.gr/downloads>
+
+### SPIaKMeD
+
+The SIPaKMeD Database consists of 4049 images of isolated cells that have been manually cropped from 966 cluster cell images of Pap smear slides. These images were acquired through a CCD camera adapted to an optical microscope. The cell images are divided into five categories containing normal, abnormal and benign cells.
+
+<http://cs.uoi.gr/~marina/sipakmed.html>
+
+
+## Custom Dataset
+
+The data pipeline can work with other datasets besides SIPaKMed and SMEAR. In order to
+use another, you must convert the data to the correct format.
+
+```
+slides/
+  metaplastic/
+    image/
+    mask/
+  parabasal/
+    image/
+    mask/
+  ...
+```
+
+And for cells:
+
+```
+cells/
+  metaplastic/
+    image/
+    mask/
+  parabasal/
+    image/
+    mask/
+  ...
+```
+
+## Notebooks
+
+To show the library in action there are several notebooks that address key aspects of the library, such as what is a dataset, using Operations, and creating a Pipeline. These are found in `notebooks/`
+
+## CLI
+
+MediAug comes with a CLI with useful scripts. These include:
+
+* generate-augment-dataset
+* prepare-pix2pix-images
+* resize-images
+
+The list of all can be seen with the command
+
+```bash
+$ mediaug --help
+```
+
+### Generate cell augmented dataset
+
+```bash
+$ mediaug generate-augment-dataset --slide_dir <slide_dir> --cell_dir <cell_dir> --out_dir <out_dir> --num 1000 --max_cells <10>
+```
+
+### Prepare images for Pix2Pix
+
+```bash
+$ mediaug prepare-pix2pix-images --image_dir <image_dir> --mask_dir <mask_dir> --out_dir <out_dir> --split_ratio <split_ratio>
+```
+
+### Recursivly resize all images in directory
+
+```bash
+$ mediaug resize-images --input_dir <input_dir> --out_dir <out_dir> --w 256 --height 256
+```