Skip to content
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

Fix the location type returned in GridPatch when padding #4598

Merged
merged 4 commits into from
Jun 29, 2022
Merged

Fix the location type returned in GridPatch when padding #4598

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
b1bb676
Fix the location type returned in GridPatch when padding
vale-salvatelli Jun 27, 2022
7e9a9e8
signing and fixing docstring
vale-salvatelli Jun 29, 2022
2a9dc1e
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 29, 2022
04663e4
Merge branch 'dev' into patch-1
wyli Jun 29, 2022
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
3 changes: 2 additions & 1 deletion monai/transforms/spatial/array.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2668,6 +2668,7 @@ class GridPatch(Transform):
patch_size: size of patches to generate slices for, 0 or None selects whole dimension
offset: offset of starting position in the array, default is 0 for each dimension.
num_patches: number of patches to return. Defaults to None, which returns all the available patches.
If the required patches are more than the available patches, padding will be applied.
overlap: the amount of overlap of neighboring patches in each dimension (a value between 0.0 and 1.0).
If only one float number is given, it will be applied to all dimensions. Defaults to 0.0.
sort_fn: when `num_patches` is provided, it determines if keep patches with highest values (`"max"`),
Expand Down Expand Up @@ -2770,7 +2771,7 @@ def __call__(self, array: NdarrayOrTensor):
patch = convert_to_dst_type(
src=np.full((array.shape[0], *self.patch_size), self.pad_kwargs.get("constant_values", 0)), dst=array
)[0]
start_location = convert_to_dst_type(src=np.zeros((len(self.patch_size), 1)), dst=array)[0]
start_location = convert_to_dst_type(src=np.zeros(len(self.patch_size)), dst=array)[0]
output += [(patch, start_location)] * (self.num_patches - len(output))

return output
Expand Down