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Update transforms for PIL deprecation #5898

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Merged
merged 11 commits into from
May 9, 2022
Merged

Update transforms for PIL deprecation #5898

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7874b06
Update transforms for PIL deprecation
kylematoba Apr 27, 2022
80f8f60
Merge branch 'main' into main
kylematoba Apr 30, 2022
3cfe376
Changes agreed at pytorch/vision#5898
kylematoba Apr 30, 2022
a74be25
black, sort constants, version check
kylematoba May 2, 2022
1ac68ca
Format tests
kylematoba May 2, 2022
cb13daa
Merge branch 'main' into main
kylematoba May 3, 2022
57228df
Merge branch 'main' into main
kylematoba May 5, 2022
77a2dfb
Square brackets
kylematoba May 5, 2022
3ee5542
Update torchvision/transforms/_pil_constants.py
pmeier May 6, 2022
8597dd5
Merge branch 'main' into main
datumbox May 9, 2022
8743141
Merge branch 'main' into main
datumbox May 9, 2022
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8 changes: 4 additions & 4 deletions torchvision/transforms/functional_pil.py
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Original file line number Diff line number Diff line change
Expand Up @@ -54,15 +54,15 @@ def hflip(img: Image.Image) -> Image.Image:
if not _is_pil_image(img):
raise TypeError(f"img should be PIL Image. Got {type(img)}")

return img.transpose(Image.FLIP_LEFT_RIGHT)
return img.transpose(Image.Transpose.FLIP_LEFT_RIGHT)


@torch.jit.unused
def vflip(img: Image.Image) -> Image.Image:
if not _is_pil_image(img):
raise TypeError(f"img should be PIL Image. Got {type(img)}")

return img.transpose(Image.FLIP_TOP_BOTTOM)
return img.transpose(Image.Transpose.FLIP_TOP_BOTTOM)


@torch.jit.unused
Expand Down Expand Up @@ -323,7 +323,7 @@ def affine(

output_size = img.size
opts = _parse_fill(fill, img)
return img.transform(output_size, Image.AFFINE, matrix, interpolation, **opts)
return img.transform(output_size, Image.Transform.AFFINE, matrix, interpolation, **opts)


@torch.jit.unused
Expand Down Expand Up @@ -356,7 +356,7 @@ def perspective(

opts = _parse_fill(fill, img)

return img.transform(img.size, Image.PERSPECTIVE, perspective_coeffs, interpolation, **opts)
return img.transform(img.size, Image.Transform.PERSPECTIVE, perspective_coeffs, interpolation, **opts)


@torch.jit.unused
Expand Down