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Commit a9dadb74 authored by Hailu, Dawit's avatar Hailu, Dawit
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Update README.md

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...@@ -31,8 +31,16 @@ We will be using the CUDAs available from the server mathgpu1, provided by Uni-H ...@@ -31,8 +31,16 @@ We will be using the CUDAs available from the server mathgpu1, provided by Uni-H
# clone project # clone project
git clone https://gitlab.rrz.uni-hamburg.de/BAT9096/deepinverse.git git clone https://gitlab.rrz.uni-hamburg.de/BAT9096/deepinverse.git
# install project # requirements
Not yet ready. install conda environment with python=3.6,
install astra-toolbox stable version(```conda install -c astra-toolbox astra-toolbox```)
```
conda install pytorch torchvision cudatoolkit=9.0 -c pytorch
conda install dival
```
Make sure to integrate it to the Jupyter kernel.
# 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. We will using the data provided by zonodo.org. LoDoPaB-CT Dataset.
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