Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 8 additions & 0 deletions test/test_ops.py
Original file line number Diff line number Diff line change
Expand Up @@ -1384,6 +1384,10 @@ def test_bbox_cxcywhr_to_xyxyxyxy(self):
box_xyxyxyxy = ops.box_convert(box_tensor, in_fmt="cxcywhr", out_fmt="xyxyxyxy")
torch.testing.assert_close(box_xyxyxyxy, exp_xyxyxyxy)

# Reverse conversion
box_cxcywhr = ops.box_convert(box_xyxyxyxy, in_fmt="xyxyxyxy", out_fmt="cxcywhr")
torch.testing.assert_close(box_cxcywhr, box_tensor)

def test_bbox_xywhr_to_xyxyxyxy(self):
box_tensor = torch.tensor([[4, 5, 4, 2, 90]], dtype=torch.float)
exp_xyxyxyxy = torch.tensor([[4, 5, 4, 1, 6, 1, 6, 5]], dtype=torch.float)
Expand All @@ -1392,6 +1396,10 @@ def test_bbox_xywhr_to_xyxyxyxy(self):
box_xyxyxyxy = ops.box_convert(box_tensor, in_fmt="xywhr", out_fmt="xyxyxyxy")
torch.testing.assert_close(box_xyxyxyxy, exp_xyxyxyxy)

# Reverse conversion
box_xywhr = ops.box_convert(box_xyxyxyxy, in_fmt="xyxyxyxy", out_fmt="xywhr")
torch.testing.assert_close(box_xywhr, box_tensor)

@pytest.mark.parametrize("inv_infmt", ["xwyh", "cxwyh", "xwyhr", "cxwyhr", "xxxxyyyy"])
@pytest.mark.parametrize("inv_outfmt", ["xwcx", "xhwcy", "xwcxr", "xhwcyr", "xyxyxxyy"])
def test_bbox_invalid(self, inv_infmt, inv_outfmt):
Expand Down
5 changes: 2 additions & 3 deletions torchvision/ops/_box_convert.py
Original file line number Diff line number Diff line change
Expand Up @@ -178,10 +178,9 @@ def _box_xyxyxyxy_to_xywhr(boxes: Tensor) -> Tensor:
x1, y1, x3, y3, x2, y2, x4, y4 = boxes.unbind(-1)
r_rad = torch.atan2(y1 - y3, x3 - x1)
r = r_rad * 180 / torch.pi
cos, sin = torch.cos(r_rad), torch.sin(r_rad)

w = (x2 - x1) * cos + (y1 - y2) * sin
h = (x2 - x1) * sin + (y2 - y1) * cos
w = ((x3 - x1) ** 2 + (y1 - y3) ** 2).sqrt()
h = ((x3 - x2) ** 2 + (y3 - y2) ** 2).sqrt()

boxes = torch.stack((x1, y1, w, h, r), dim=-1)

Expand Down
14 changes: 7 additions & 7 deletions torchvision/transforms/v2/functional/_meta.py
Original file line number Diff line number Diff line change
Expand Up @@ -252,13 +252,13 @@ def _xyxyxyxy_to_xywhr(xyxyxyxy: torch.Tensor, inplace: bool) -> torch.Tensor:
xyxyxyxy = xyxyxyxy.float()

r_rad = torch.atan2(xyxyxyxy[..., 1].sub(xyxyxyxy[..., 3]), xyxyxyxy[..., 2].sub(xyxyxyxy[..., 0]))
cos, sin = r_rad.cos(), r_rad.sin()
# x1, y1, x3, y3, (x2 - x1), (y2 - y1) x4, y4
xyxyxyxy[..., 4:6].sub_(xyxyxyxy[..., :2])
# (x2 - x1) * cos + (y1 - y2) * sin = w
xyxyxyxy[..., 2] = xyxyxyxy[..., 4].mul(cos).sub(xyxyxyxy[..., 5].mul(sin))
# (x2 - x1) * sin + (y2 - y1) * cos = h
xyxyxyxy[..., 3] = xyxyxyxy[..., 5].mul(cos).add(xyxyxyxy[..., 4].mul(sin))
# x1, y1, (x3 - x1), (y3 - y1), (x2 - x3), (y2 - y3) x4, y4
xyxyxyxy[..., 4:6].sub_(xyxyxyxy[..., 2:4])
xyxyxyxy[..., 2:4].sub_(xyxyxyxy[..., :2])
# sqrt((x3 - x1) ** 2 + (y1 - y3) ** 2) = w
xyxyxyxy[..., 2] = xyxyxyxy[..., 2].pow(2).add(xyxyxyxy[..., 3].pow(2)).sqrt()
# sqrt((x3 - x2) ** 2 + (y3 - y2) ** 2) = h
xyxyxyxy[..., 3] = xyxyxyxy[..., 4].pow(2).add(xyxyxyxy[..., 5].pow(2)).sqrt()
xyxyxyxy[..., 4] = r_rad.div_(torch.pi).mul_(180.0)
return xyxyxyxy[..., :5].to(dtype)

Expand Down