Address typing errors

Author: fepegar

src/torchio/data/image.py

@@ -749,36 +749,6 @@ def to_ras(self) -> Image:
             return ToCanonical()(self)
         return self
 
-    def to_video(
-        self,
-        output_path: TypePath,
-        frame_rate: float | None = 15,
-        seconds: float | None = None,
-        direction: str = 'I',
-        verbosity: str = 'error',
-    ) -> None:
-        """Create a video showing all image slices along a specified direction.
-
-        Args:
-            output_path: Path to the output video file.
-            frame_rate: Number of frames per second (FPS).
-            seconds: Target duration of the full video.
-            direction:
-            verbosity:
-
-        .. note:: Only ``frame_rate`` or ``seconds`` may (and must) be specified.
-        """
-        from ..visualization import make_video  # avoid circular import
-
-        make_video(
-            self.to_ras(),
-            output_path,
-            frame_rate=frame_rate,
-            seconds=seconds,
-            direction=direction,
-            verbosity=verbosity,
-        )
-
     def get_center(self, lps: bool = False) -> TypeTripletFloat:
         """Get image center in RAS+ or LPS+ coordinates.
 
@@ -917,6 +887,36 @@ def hist(self, **kwargs) -> None:
         x = self.data.flatten().numpy()
         plot_histogram(x, **kwargs)
 
+    def to_video(
+        self,
+        output_path: TypePath,
+        frame_rate: float | None = 15,
+        seconds: float | None = None,
+        direction: str = 'I',
+        verbosity: str = 'error',
+    ) -> None:
+        """Create a video showing all image slices along a specified direction.
+
+        Args:
+            output_path: Path to the output video file.
+            frame_rate: Number of frames per second (FPS).
+            seconds: Target duration of the full video.
+            direction:
+            verbosity:
+
+        .. note:: Only ``frame_rate`` or ``seconds`` may (and must) be specified.
+        """
+        from ..visualization import make_video  # avoid circular import
+
+        make_video(
+            self.to_ras(),  # type: ignore[arg-type]
+            output_path,
+            frame_rate=frame_rate,
+            seconds=seconds,
+            direction=direction,
+            verbosity=verbosity,
+        )
+
 
 class LabelMap(Image):
     """Image whose pixel values represent segmentation labels.

src/torchio/visualization.py

@@ -358,8 +358,8 @@ def make_video(
         )
         warnings.warn(message, RuntimeWarning, stacklevel=2)
         spacing_iso = min(spacing_h, spacing_w)
-        target = spacing_f, spacing_iso, spacing_iso
-        image = Resample(target)(image)  # type: ignore[assignment]
+        target_spacing = spacing_f, spacing_iso, spacing_iso
+        image = Resample(target_spacing)(image)  # type: ignore[assignment]
 
     # Check that height and width are multiples of 2 for H.265 encoding
     num_frames, height, width = image.spatial_shape