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Commit 515c0769 authored by Hailu, Dawit's avatar Hailu, Dawit
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Update README.md

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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
We will be using the jupyter notebook from the server mathgpu1, provided by Uni-Hamburg.
We will be using the CUDAs available from the server mathgpu1, provided by Uni-Hamburg.
# clone project
git clone https://gitlab.rrz.uni-hamburg.de/BAT9096/deepinverse.git
......@@ -36,7 +36,7 @@ Not yet ready.
# 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.
There will be two data sets, 1. with more than 50GB as zip and the other 3GB as Zip.
## Imports
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