Commit fe096a1e authored by Jesper Lykkegaard Karlsen's avatar Jesper Lykkegaard Karlsen
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Update README.md

parent 8f367331
# SortEM
The following steps for installing sortem can be done through conda or pip. The easiest way is to install the requirements through conda as the gpu libraries and other requirements are downloaded with the python packages. If you install the packages through pip the nvidia modules will not be installed with it. In addition installing it into a conda environment avoids breaking paths.
>>>
**1) Create conda enviroment:**
_`conda create -n sortem python=3.7 tensorflow-gpu==2.2 matplotlib scikit-learn numpy==1.19.5`_
**2) activate the environment:**
_`conda activate sortem`_
**3) now install the gui**:
**1) Create conda enviroment**:
`conda create -n sortem python=3.7 tensorflow-gpu==2.2 matplotlib scikit-learn numpy==1.19.5`
_`pip install tensorflow-addons==0.11.2 appjar`_
**2) activate the environment**: `conda activate sortem`
**4) go into anaconda environmental directory**:
**3) now install the gui**: `pip install tensorflow-addons==0.11.2 appjar`
_`cd ${CONDA_PREFIX}`_
**4) go into anaconda environmental directory**: `cd ${CONDA_PREFIX}`
**5) download the repository**:
**5) download the repository**: `git clone https://gitlab.au.dk/au482896/sortem`
_`git clone https://gitlab.au.dk/au482896/sortem`_
**5) Add sortem executable to conda-envs PATH**: `ln -s ../sortem/sortem bin/.`
**5) Add sortem executable to conda-envs PATH**:
_`ln -s ../sortem/sortem bin/.`_
>>>
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