From 829d1a302cea622167145c344930a28af5ef0a1a Mon Sep 17 00:00:00 2001 From: NicolasGensollen Date: Thu, 30 May 2024 14:34:55 +0200 Subject: [PATCH] update python version used for creating conda env in README --- README.md | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 05b5f3a09..dae486a72 100755 --- a/README.md +++ b/README.md @@ -33,34 +33,33 @@ ## About the project This repository hosts ClinicaDL, the deep learning extension of [Clinica](https://github.com/aramis-lab/clinica), -a python library to process neuroimaging data in [BIDS](https://bids.neuroimaging.io/index.html) format. +a Python library to process neuroimaging data in [BIDS](https://bids.neuroimaging.io/index.html) format. > **Disclaimer:** this software is **under development**. Some features can change between different releases and/or commits. -To access the full documentation of the project, follow the link -[https://clinicadl.readthedocs.io/](https://clinicadl.readthedocs.io/). +To access the full documentation of the project, follow the link [https://clinicadl.readthedocs.io/](https://clinicadl.readthedocs.io/). If you find a problem when using it or if you want to provide us feedback, please [open an issue](https://github.com/aramis-lab/ad-dl/issues) or write on the [forum](https://groups.google.com/forum/#!forum/clinica-user). ## Getting started + ClinicaDL currently supports macOS and Linux. We recommend to use `conda` or `virtualenv` for the installation of ClinicaDL -as it guarantees the correct management of libraries depending on common -packages: +as it guarantees the correct management of libraries depending on common packages: ```{.sourceCode .bash} -conda create --name ClinicaDL python=3.8 +conda create --name ClinicaDL python=3.10 conda activate ClinicaDL pip install clinicadl ``` -## Tutorial -Visit our [hands-on tutorial web -site](https://aramislab.paris.inria.fr/clinicadl/tuto) to start -using **ClinicaDL** directly in a Google Colab instance! +## Tutorial + +Visit our [hands-on tutorial web site](https://aramislab.paris.inria.fr/clinicadl/tuto) +to start using **ClinicaDL** directly in a Google Colab instance! ## Related Repositories