Skip to content

DOC: Fix typos in ANTs Registration input documentation #2869

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jan 30, 2019
Merged

DOC: Fix typos in ANTs Registration input documentation #2869

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 5 additions & 5 deletions nipype/interfaces/ants/registration.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -305,8 +305,8 @@ class RegistrationInputSpec(ANTSCommandInputSpec):
initial_moving_transform = InputMultiPath(
File(exists=True),
argstr='%s',
desc='A transform or a list of transforms that should be applied'
'before the registration begins. Note that, when a list is given,'
desc='A transform or a list of transforms that should be applied '
'before the registration begins. Note that, when a list is given, '
'the transformations are applied in reverse order.',
xor=['initial_moving_transform_com'])
invert_initial_moving_transform = InputMultiPath(
Expand All @@ -323,9 +323,9 @@ class RegistrationInputSpec(ANTSCommandInputSpec):
2,
argstr='%s',
xor=['initial_moving_transform'],
desc="Align the moving_image nad fixed_image befor registration using"
"the geometric center of the images (=0), the image intensities (=1),"
"or the origin of the images (=2)")
desc="Align the moving_image and fixed_image before registration using "
"the geometric center of the images (=0), the image intensities (=1), "
"or the origin of the images (=2).")
metric_item_trait = traits.Enum("CC", "MeanSquares", "Demons", "GC", "MI",
"Mattes")
metric_stage_trait = traits.Either(metric_item_trait,
Expand Down