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Fix NIfTI viewer read-only array handling

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admin
2026-06-03 09:46:11 +08:00
parent 68353b2148
commit 37faa967e1
1 changed files with 2 additions and 2 deletions
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4
app.py
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@@ -134,9 +134,9 @@ def load_nifti_cached(path: str, max_voxels: int = 14_000_000) -> Tuple[np.ndarr
spatial_slices = (slice(None, None, stride), slice(None, None, stride), slice(None, None, stride)) spatial_slices = (slice(None, None, stride), slice(None, None, stride), slice(None, None, stride))
if len(img.shape) == 4: if len(img.shape) == 4:
data = np.asarray(img.dataobj[spatial_slices + (slice(None),)], dtype=np.float32) data = np.array(img.dataobj[spatial_slices + (slice(None),)], dtype=np.float32, copy=True)
else: else:
data = np.asarray(img.dataobj[spatial_slices], dtype=np.float32) data = np.array(img.dataobj[spatial_slices], dtype=np.float32, copy=True)
data = np.nan_to_num(data, copy=False) data = np.nan_to_num(data, copy=False)
spacing = tuple(float(v) * stride for v in img.header.get_zooms()[:3]) spacing = tuple(float(v) * stride for v in img.header.get_zooms()[:3])
return data, spacing, stride # type: ignore[return-value] return data, spacing, stride # type: ignore[return-value]