affine

torchvision.transforms.functional.affine(img: torch.Tensor, angle: float, translate: List[int], scale: float, shear: List[float], interpolation: torchvision.transforms.functional.InterpolationMode = <InterpolationMode.NEAREST: 'nearest'>, fill: Optional[List[float]] = None, resample: Optional[int] = None, fillcolor: Optional[List[float]] = None, center: Optional[List[int]] = None) → torch.Tensor

Apply affine transformation on the image keeping image center invariant. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions.

Parameters

• img (PIL Image or Tensor) – image to transform.

• angle (number) – rotation angle in degrees between -180 and 180, clockwise direction.

• translate (sequence of python:integers) – horizontal and vertical translations (post-rotation translation)

• scale (float) – overall scale

• shear (float or sequence) – shear angle value in degrees between -180 to 180, clockwise direction. If a sequence is specified, the first value corresponds to a shear parallel to the x axis, while the second value corresponds to a shear parallel to the y axis.

• interpolation (InterpolationMode) – Desired interpolation enum defined by torchvision.transforms.InterpolationMode. Default is InterpolationMode.NEAREST. If input is Tensor, only InterpolationMode.NEAREST, InterpolationMode.BILINEAR are supported. For backward compatibility integer values (e.g. PIL.Image.NEAREST) are still acceptable.

• fill (sequence or number, optional) –

  Pixel fill value for the area outside the transformed image. If given a number, the value is used for all bands respectively.

  Note

  In torchscript mode single int/float value is not supported, please use a sequence of length 1: [value, ].

• fillcolor (sequence or number, optional) –

  Warning

  This parameter was deprecated in 0.12 and will be removed in 0.14. Please use fill instead.

• resample (int, optional) –

  Warning

  This parameter was deprecated in 0.12 and will be removed in 0.14. Please use interpolation instead.

• center (sequence, optional) – Optional center of rotation. Origin is the upper left corner. Default is the center of the image.

Returns

Transformed image.

Return type

PIL Image or Tensor

Examples using affine:

Illustration of transforms