From d25b14e9b3d4d135f88be0ba8f02f2f08a96fe49 Mon Sep 17 00:00:00 2001 From: Andreas Schuh Date: Thu, 20 Jul 2023 23:07:54 +0100 Subject: [PATCH] [docs] Add nibabel to list of optional dependencies --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 240c4a8..a74ec84 100644 --- a/README.md +++ b/README.md @@ -46,6 +46,7 @@ The following lists the main dependencies of this project. For a complete list, - [PyTorch]: The automatic differentiation and deep learning framework powering this project. - [SimpleITK] (optional): Used by [deepali.data] to read and write images in file formats supported by ITK. +- [nibabel] (optional): Used by [deepali.data] to read and write images in NIfTI file formats if available. - [NumPy] (optional): Used by [deepali.utils]. Other components use pure PyTorch. - [VTK] (optional): May be used to read and write point sets and surface meshes. @@ -122,6 +123,7 @@ Below we list a few projects which are either similar to *deepali* or complement [Mermaid]: https://github.com/uncbiag/mermaid [MONAI]: https://github.com/Project-MONAI/MONAI [Neurite]: https://github.com/adalca/neurite +[nibabel]: https://nipy.org/nibabel/ [NITorch]: https://github.com/balbasty/nitorch [NumPy]: https://numpy.org/ [PyTorch]: https://pytorch.org/