Skip to content

Fix typo #7321

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 2 commits into from
Dec 15, 2023
Merged

Fix typo #7321

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
14cb302
fix typo
KumoLiu Dec 14, 2023
4f4f8e2
update
KumoLiu Dec 15, 2023
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
2 changes: 1 addition & 1 deletion monai/metrics/hausdorff_distance.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -190,7 +190,7 @@ def compute_hausdorff_distance(
y[b, c],
distance_metric=distance_metric,
spacing=spacing_list[b],
symetric=not directed,
symmetric=not directed,
class_index=c,
)
percentile_distances = [_compute_percentile_hausdorff_distance(d, percentile) for d in distances]
Expand Down
2 changes: 1 addition & 1 deletion monai/metrics/surface_dice.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -253,7 +253,7 @@ def compute_surface_dice(
distance_metric=distance_metric,
spacing=spacing_list[b],
use_subvoxels=use_subvoxels,
symetric=True,
symmetric=True,
class_index=c,
)
boundary_correct: int | torch.Tensor | float
Expand Down
2 changes: 1 addition & 1 deletion monai/metrics/surface_distance.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -177,7 +177,7 @@ def compute_average_surface_distance(
y[b, c],
distance_metric=distance_metric,
spacing=spacing_list[b],
symetric=symmetric,
symmetric=symmetric,
class_index=c,
)
surface_distance = torch.cat(distances)
Expand Down
6 changes: 3 additions & 3 deletions monai/metrics/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -295,7 +295,7 @@ def get_edge_surface_distance(
distance_metric: str = "euclidean",
spacing: int | float | np.ndarray | Sequence[int | float] | None = None,
use_subvoxels: bool = False,
symetric: bool = False,
symmetric: bool = False,
class_index: int = -1,
) -> tuple[
tuple[torch.Tensor, torch.Tensor],
Expand All @@ -314,7 +314,7 @@ def get_edge_surface_distance(
See :py:func:`monai.metrics.utils.get_surface_distance`.
use_subvoxels: whether to use subvoxel resolution (using the spacing).
This will return the areas of the edges.
symetric: whether to compute the surface distance from `y_pred` to `y` and from `y` to `y_pred`.
symmetric: whether to compute the surface distance from `y_pred` to `y` and from `y` to `y_pred`.
class_index: The class-index used for context when warning about empty ground truth or prediction.

Returns:
Expand All @@ -338,7 +338,7 @@ def get_edge_surface_distance(
" this may result in nan/inf distance."
)
distances: tuple[torch.Tensor, torch.Tensor] | tuple[torch.Tensor]
if symetric:
if symmetric:
distances = (
get_surface_distance(edges_pred, edges_gt, distance_metric, spacing),
get_surface_distance(edges_gt, edges_pred, distance_metric, spacing),
Expand Down