Merge pull request #15 from samuelstjean/v0.2.5

maintenance fix for 0.2.5

CHANGELOG.md

@@ -1,5 +1,11 @@
 # Changelog
 
+## [v0.2.5] - 2021-03-09
+
+- Remove nans from the output when using noise maps.
+- Fix the main script regarding the noise maps to 4d conversion.
+- Remove Dockerfile.
+
 ## [v0.2.4] - 2021-03-09
 
 - Fix an indexing bug for noise maps when going over the full data (the default).

MANIFEST.in

@@ -4,5 +4,4 @@ include README.md
 include CHANGELOG.md
 include example.ipynb
 include datasets/*
-include Dockerfile
 include example/

README.md

@@ -13,19 +13,6 @@ pip install autodmri
 
 You can find a quick example and datasets over [here](example) and the full documentation at http://autodmri.rtfd.io/.
 
-### Using Docker
-
-If you have docker, you do not need to install anything else and can use the Dockerfile to get everything.
-You can then mount your data folder to run the script and get the results into the same folder like this.
-
-~~~
-docker pull samuelstjean/autodmri
-docker run -it -v /home/samuel/git/autodmri/datasets:/mnt samuelstjean/autodmri get_distribution /mnt/data_SENSE3_MB3_dwi.nii.gz /mnt/sigma.nii.gz /mnt/N.nii.gz /mnt/mask.nii.gz
-~~~
-
-Just be sure to adapt the path and filename of your data or add more options as needed.
-
-
 ###  The manuscript and references
 
 You can read the [journal version][media] in Medical Image Analysis and the datasets are available here https://zenodo.org/record/2483105.
@@ -73,7 +60,6 @@ isbn="978-3-030-00928-1"
 }
 ~~~
 
-
 ###  Referencing the code itself
 
 The code is also autoarchived on zenodo for those wanting to refer to a specific version over here

setup.py

@@ -6,7 +6,7 @@
 
 setup(
     name='autodmri',
-    version='0.2.4',
+    version='0.2.5',
     author='Samuel St-Jean',
     author_email='[email protected]',
     packages=find_packages(),