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fix resize_mask ignoring NEAREST_EXACT interpolation #9384

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fix resize_mask ignoring NEAREST_EXACT interpolation #9384

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17 changes: 14 additions & 3 deletions torchvision/transforms/v2/functional/_geometry.py
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Original file line number Diff line number Diff line change
Expand Up @@ -401,14 +401,24 @@ def __resize_image_pil_dispatch(
return _resize_image_pil(image, size=size, interpolation=interpolation, max_size=max_size)


def resize_mask(mask: torch.Tensor, size: Optional[list[int]], max_size: Optional[int] = None) -> torch.Tensor:
def resize_mask(
mask: torch.Tensor,
size: Optional[list[int]],
max_size: Optional[int] = None,
interpolation: Union[InterpolationMode, int] = InterpolationMode.NEAREST,
) -> torch.Tensor:
if mask.ndim < 3:
mask = mask.unsqueeze(0)
needs_squeeze = True
else:
needs_squeeze = False

output = resize_image(mask, size=size, interpolation=InterpolationMode.NEAREST, max_size=max_size)
if isinstance(interpolation, int):
interpolation = InterpolationMode(interpolation)
if interpolation not in {InterpolationMode.NEAREST, InterpolationMode.NEAREST_EXACT}:
interpolation = InterpolationMode.NEAREST

output = resize_image(mask, size=size, interpolation=interpolation, max_size=max_size)

if needs_squeeze:
output = output.squeeze(0)
Expand All @@ -420,7 +430,8 @@ def resize_mask(mask: torch.Tensor, size: Optional[list[int]], max_size: Optiona
def _resize_mask_dispatch(
inpt: tv_tensors.Mask, size: list[int], max_size: Optional[int] = None, **kwargs: Any
) -> tv_tensors.Mask:
output = resize_mask(inpt.as_subclass(torch.Tensor), size, max_size=max_size)
interpolation = kwargs.pop("interpolation", InterpolationMode.NEAREST)
output = resize_mask(inpt.as_subclass(torch.Tensor), size, max_size=max_size, interpolation=interpolation)
return tv_tensors.wrap(output, like=inpt)


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