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Fix Resize() documentation #7536

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Merged
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May 2, 2023
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Fix Resize() documentation #7536

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cf45323
Documentation fix for torchvision.transforms.transforms.Resize()
Apr 25, 2023
8e6e9af
Documentation fix for torchvision.transforms.functional.Resize()
Apr 25, 2023
9cb4fda
Apply suggestions from code review
Apr 25, 2023
6722d52
Update _geometry.py
Apr 25, 2023
87aff91
Update functional.py
Apr 25, 2023
7c6c1bc
Update transforms.py
Apr 25, 2023
593a1c0
Merge branch 'main' into main
NicolasHug May 2, 2023
e8cc85b
Merge branch 'main' into main
NicolasHug May 2, 2023
15ee097
Merge branch 'main' into main
NicolasHug May 2, 2023
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14 changes: 7 additions & 7 deletions torchvision/transforms/functional.py
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Original file line number Diff line number Diff line change
Expand Up @@ -423,13 +423,13 @@ def resize(
supported.
The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
max_size (int, optional): The maximum allowed for the longer edge of
the resized image: if the longer edge of the image is greater
than ``max_size`` after being resized according to ``size``, then
the image is resized again so that the longer edge is equal to
``max_size``. As a result, ``size`` might be overruled, i.e. the
smaller edge may be shorter than ``size``. This is only supported
if ``size`` is an int (or a sequence of length 1 in torchscript
mode).
the resized image. If the longer edge of the image is greater
than ``max_size`` after being resized according to ``size``,
``size`` will be overruled so that the longer edge is equal to
``max_size``.
As a result, the smaller edge may be shorter than ``size``. This
is only supported if ``size`` is an int (or a sequence of length
1 in torchscript mode).
antialias (bool, optional): Whether to apply antialiasing.
It only affects **tensors** with bilinear or bicubic modes and it is
ignored otherwise: on PIL images, antialiasing is always applied on
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14 changes: 7 additions & 7 deletions torchvision/transforms/transforms.py
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Expand Up @@ -307,13 +307,13 @@ class Resize(torch.nn.Module):
``InterpolationMode.BILINEAR`` and ``InterpolationMode.BICUBIC`` are supported.
The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
max_size (int, optional): The maximum allowed for the longer edge of
the resized image: if the longer edge of the image is greater
than ``max_size`` after being resized according to ``size``, then
the image is resized again so that the longer edge is equal to
``max_size``. As a result, ``size`` might be overruled, i.e. the
smaller edge may be shorter than ``size``. This is only supported
if ``size`` is an int (or a sequence of length 1 in torchscript
mode).
the resized image. If the longer edge of the image is greater
than ``max_size`` after being resized according to ``size``,
``size`` will be overruled so that the longer edge is equal to
``max_size``.
As a result, the smaller edge may be shorter than ``size``. This
is only supported if ``size`` is an int (or a sequence of length
1 in torchscript mode).
antialias (bool, optional): Whether to apply antialiasing.
It only affects **tensors** with bilinear or bicubic modes and it is
ignored otherwise: on PIL images, antialiasing is always applied on
Expand Down
14 changes: 7 additions & 7 deletions torchvision/transforms/v2/_geometry.py
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Original file line number Diff line number Diff line change
Expand Up @@ -97,13 +97,13 @@ class Resize(Transform):
``InterpolationMode.BILINEAR`` and ``InterpolationMode.BICUBIC`` are supported.
The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
max_size (int, optional): The maximum allowed for the longer edge of
the resized image: if the longer edge of the image is greater
than ``max_size`` after being resized according to ``size``, then
the image is resized again so that the longer edge is equal to
``max_size``. As a result, ``size`` might be overruled, i.e. the
smaller edge may be shorter than ``size``. This is only supported
if ``size`` is an int (or a sequence of length 1 in torchscript
mode).
the resized image. If the longer edge of the image is greater
than ``max_size`` after being resized according to ``size``,
``size`` will be overruled so that the longer edge is equal to
``max_size``.
As a result, the smaller edge may be shorter than ``size``. This
is only supported if ``size`` is an int (or a sequence of length
1 in torchscript mode).
antialias (bool, optional): Whether to apply antialiasing.
It only affects **tensors** with bilinear or bicubic modes and it is
ignored otherwise: on PIL images, antialiasing is always applied on
Expand Down