def compute_affine_transformation3d(
input: torch.Tensor, params: Dict[str, torch.Tensor]) -> torch.Tensor:
r"""Compute the applied transformation matrix :math: `(*, 4, 4)`.
Args:
input (torch.Tensor): Tensor to be transformed with shape (D, H, W), (C, D, H, W), (B, C, D, H, W).
params (Dict[str, torch.Tensor]):
- params['angles']: Degrees of rotation with the shape of :math: `(*, 3)` for yaw, pitch, roll.
- params['translations']: Horizontal, vertical and depthical translations (dx,dy,dz).
- params['center']: Rotation center (x,y,z).
- params['scale']: Isotropic scaling params.
- params['sxy']: Shear param toward x-y-axis.
- params['sxz']: Shear param toward x-z-axis.
- params['syx']: Shear param toward y-x-axis.
- params['syz']: Shear param toward y-z-axis.
- params['szx']: Shear param toward z-x-axis.
- params['szy']: Shear param toward z-y-axis.
Returns:
torch.Tensor: The applied transformation matrix :math: `(*, 4, 4)`
"""
input = _transform_input3d(input)
_validate_input_dtype(
input, accepted_dtypes=[torch.float16, torch.float32, torch.float64])
transform = get_affine_matrix3d(params['translations'], params['center'],
params['scale'], params['angles'],
deg2rad(params['sxy']),
deg2rad(params['sxz']),
deg2rad(params['syx']),
deg2rad(params['syz']),
deg2rad(params['szx']),
deg2rad(params['szy'])).type_as(input)
return transform
def compute_affine_transformation3d(input: torch.Tensor, params: Dict[str, torch.Tensor]) -> torch.Tensor:
r"""Compute the affine transformation matrix :math: `(*, 4, 4)`.
Args:
input (torch.Tensor): Tensor to be transformed with shape :math:`(*, C, D, H, W)`.
params (Dict[str, torch.Tensor]):
- params['angles']: Degrees of rotation with the shape of :math: `(*, 3)` for yaw, pitch, roll.
- params['translations']: Horizontal, vertical and depthical translations (dx,dy,dz).
- params['center']: Rotation center (x,y,z).
- params['scale']: Isotropic scaling params.
- params['sxy']: Shear param toward x-y-axis.
- params['sxz']: Shear param toward x-z-axis.
- params['syx']: Shear param toward y-x-axis.
- params['syz']: Shear param toward y-z-axis.
- params['szx']: Shear param toward z-x-axis.
- params['szy']: Shear param toward z-y-axis.
Returns:
torch.Tensor: The affine transformation matrix :math: `(*, 4, 4)`.
"""
transform = get_affine_matrix3d(
params['translations'], params['center'], params['scale'], params['angles'],
deg2rad(params['sxy']), deg2rad(params['sxz']), deg2rad(params['syx']),
deg2rad(params['syz']), deg2rad(params['szx']), deg2rad(params['szy'])
).to(input)
return transform
def compute_transformation(self, input: torch.Tensor, params: Dict[str, torch.Tensor]) -> torch.Tensor:
transform: torch.Tensor = get_affine_matrix3d(
params["translations"],
params["center"],
params["scale"],
params["angles"],
deg2rad(params["sxy"]),
deg2rad(params["sxz"]),
deg2rad(params["syx"]),
deg2rad(params["syz"]),
deg2rad(params["szx"]),
deg2rad(params["szy"]),
).to(input)
return transform
def compute_transformation(self, input: torch.Tensor, params: Dict[str, torch.Tensor]) -> torch.Tensor:
transform: torch.Tensor = get_affine_matrix3d(
params['translations'],
params['center'],
params['scale'],
params['angles'],
deg2rad(params['sxy']),
deg2rad(params['sxz']),
deg2rad(params['syx']),
deg2rad(params['syz']),
deg2rad(params['szx']),
deg2rad(params['szy']),
).to(input)
return transform
