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simplify boundingbox kernels with jit compatible ellipsis #5861

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Merged
merged 2 commits into from
Apr 22, 2022
Merged

simplify boundingbox kernels with jit compatible ellipsis #5861

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b279361
simplify boundingbox kernels with jit compatible ellipsis
pmeier Apr 22, 2022
4727bcd
Merge branch 'main' into jit-ellipsis
datumbox Apr 22, 2022
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20 changes: 8 additions & 12 deletions torchvision/prototype/transforms/functional/_geometry.py
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Original file line number Diff line number Diff line change
Expand Up @@ -401,18 +401,16 @@ def pad_bounding_box(
) -> torch.Tensor:
left, _, top, _ = _FT._parse_pad_padding(padding)

shape = bounding_box.shape

bounding_box = convert_bounding_box_format(
bounding_box, old_format=format, new_format=features.BoundingBoxFormat.XYXY
).view(-1, 4)
)

bounding_box[:, 0::2] += left
bounding_box[:, 1::2] += top
bounding_box[..., 0::2] += left
bounding_box[..., 1::2] += top

return convert_bounding_box_format(
bounding_box, old_format=features.BoundingBoxFormat.XYXY, new_format=format, copy=False
).view(shape)
)


crop_image_tensor = _FT.crop
Expand All @@ -425,19 +423,17 @@ def crop_bounding_box(
top: int,
left: int,
) -> torch.Tensor:
shape = bounding_box.shape

bounding_box = convert_bounding_box_format(
bounding_box, old_format=format, new_format=features.BoundingBoxFormat.XYXY
).view(-1, 4)
)

# Crop or implicit pad if left and/or top have negative values:
bounding_box[:, 0::2] -= left
bounding_box[:, 1::2] -= top
bounding_box[..., 0::2] -= left
bounding_box[..., 1::2] -= top

return convert_bounding_box_format(
bounding_box, old_format=features.BoundingBoxFormat.XYXY, new_format=format, copy=False
).view(shape)
)


def crop_segmentation_mask(img: torch.Tensor, top: int, left: int, height: int, width: int) -> torch.Tensor:
Expand Down