-
Notifications
You must be signed in to change notification settings - Fork 25
Installation on Linux for an all Python software
soltanianzadeh edited this page Mar 29, 2019
·
2 revisions
1. Install Anaconda with python 3.6
2. Launch Anaconda prompt and type the following in order (pathoffile is the directory to which the provided files were downloaded to):
cd pathoffile
conda env create -f environment.yml -n stneuronet
source activate stneuronet
pip install matlab
for TensorFlow with GPU support
pip install tensorflow-gpu==1.4 --ignore-installed
or for CPU-only TensorFlow
pip install tensorflow==1.4 --ignore-installed
pip install niftynet==0.2.0.post1
3. Be sure to have MATLAB Runtime 9.3 installed before going to step 4. (installation link)
4. In Anaconda Prompt type:
cd Python\ Pkg/for_redistribution_files_only/Linux/
python setup.py install
export LD_LIBRARY_PATH= ${LD_LIBRARY_PATH}:/usr/local/MATLAB/MATLAB_Runtime/v93/runtime/glnxa64:/usr/local/MATLAB/MATLAB_Runtime/v93/bin/glnxa64:/usr/local/MATLAB/MATLAB_Runtime/v93/sys/os/glnxa64:/usr/local/MATLAB/MATLAB_Runtime/v93/sys/opengl/lib/glnxa64
5. Proceed to this page to override some files of the niftynet package with the ones we provide.