Pypeline is a GPLv3 signal processing toolkit to design and deploy holistic imaging pipelines.
This is a fork used for benchmarking and testing the code. This repository is also mirrored at: https://c4science.ch/diffusion/10745/repository/master/
For general installation, see doc/general/install.rst
For installation on EPFL cluster, first you must install conda. You can run
`
bash Miniconda3-latest-Linux-x86_64.sh
`
And respond to the interactive instructions. Be sure to install conda into your home directory.
Make a new directory which will contain pypeline and all of its packages. cd into this dir, then run:
`
git clone https://github.com/etolley/pypeline.git
cp pypeline/install.sh .
`
Afterwards, simply run:
`
source install.sh
`
For any future setup, run:
`
export PATH=$HOME/miniconda3/bin/:$PATH
cd pypeline/
source pypeline.sh --no_shell
`