Hackathon

This repository contains toolkit useful for the partipants of the 2023 PSCC Data challenge

Please document the project the better you can.

Startup the project

There is multiple way to create a suitable environment for your data challenge

Virtual env

You can use virtualenv: Create virtualenv and install the project:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
virtualenv -p python3.8 myenv
source myenv/bin/activate

Install git for later

pip install python-git

or

conda install -c anaconda git

Conda

You can also create a environment via conda.

conda installation

Linux MacOS

conda create -n myenv python=a python version >= 3.8

Install git for later

conda install git

Check for hackathon in github.com/{group}. If your project is not set please add it:

Install

Go to https://github.com/{group}/hackathon to see the project, manage issues, setup you ssh public key, ...

Clone the project and install it:

git clone git@github.com:{group}/hackathon.git
cd hackathon
pip install -r requirements.txt
make clean install test                # install and test

Usage

Once you have made your predictions, you will have to save them as NIfTI files (.gz or not). Then you can create a .csv submission file as follow:

from hackathon.submission_gen import submission_gen

predictionpath = 'path'
csvpath = 'csvpath'
submission_gen(predictionpath, csvpath)
"submission file saved at 'csvath"