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