From a10b4cd8412fd1efdf116e731b7393b793705e79 Mon Sep 17 00:00:00 2001
From: "Hailu, Dawit Abiy" <dawit.hailu@uni-hamburg.de>
Date: Thu, 6 May 2021 18:22:20 +0000
Subject: [PATCH] Update README.md

---
 README.md | 24 ++++++++++++++++++++----
 1 file changed, 20 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index c76af1e..e63a001 100644
--- a/README.md
+++ b/README.md
@@ -25,18 +25,34 @@ Conference
 ## GOALS OF THE PROJECT
 We would like to build a data-driven model to reconstruct CT images. The model should be evaluated on the LoDoPaB challenge. (https://lodopab.grand-challenge.org/) 
 
-## How to run   
+## How to run
+We will be using the jupyter notebook from the server mathgpu1, provided by Uni-Hamburg.   
 
 # clone project   
 git clone https://gitlab.rrz.uni-hamburg.de/BAT9096/deepinverse.git
 
-# install project   
+# install project
+Not yet ready.    
 
-# run module (example: mnist as your main contribution)   
+# run module (example: mnist as your main contribution)
+We will using the data provided by zonodo.org.  LoDoPaB-CT Dataset.
+There will be two data sets, 1. with more than 50GB as zip and the other 3GB as Zip. We will focus more on training the 3GB data first.
 
 
 ## Imports
-Not yet completed
+So far, we are using the following:
+pytorch-lightning
+torch 
+torchvision 
+numpy
+scipy
+matplotlib
+scikit-learn
+scikit-image
+jupyter
+imageio
+
+
 
 ### Citation   
 ```
-- 
GitLab