Replace np.copy with np.ascontiguousarray (#1356)

Author: fepegar

src/torchio/transforms/augmentation/spatial/random_flip.py

@@ -127,6 +127,6 @@ def _flip_image(image, axes):
     spatial_axes = np.array(axes, int) + 1
     data = image.numpy()
     data = np.flip(data, axis=spatial_axes)
-    data = data.copy()  # remove negative strides
+    data = np.ascontiguousarray(data)  # remove negative strides
     data = torch.as_tensor(data)
     image.set_data(data)

src/torchio/transforms/preprocessing/spatial/to_orientation.py

@@ -1,4 +1,5 @@
 import nibabel as nib
+import numpy as np
 import torch
 from einops import rearrange
 from nibabel import orientations
@@ -96,11 +97,14 @@ def apply_transform(self, subject: Subject) -> Subject:
 
             # Calculate the new affine matrix reflecting the reorientation
             reoriented_affine = nii.affine @ orientations.inv_ornt_aff(
-                transform, nii.shape
+                transform,
+                nii.shape,
             )
 
             # Update the image data and affine
-            image.set_data(torch.from_numpy(reoriented_array.copy()))
+            reoriented_array = np.ascontiguousarray(reoriented_array)
+            tensor = torch.from_numpy(reoriented_array)
+            image.set_data(tensor)
             image.affine = reoriented_affine
 
         return subject