RandomRotation

class torchvision.transforms.RandomRotation(degrees, interpolation=InterpolationMode.NEAREST, expand=False, center=None, fill=0)

Rotate the image by angle. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions.

Parameters:

• degrees (sequence or number) – Range of degrees to select from. If degrees is a number instead of sequence like (min, max), the range of degrees will be (-degrees, +degrees).

• 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. The corresponding Pillow integer constants, e.g. PIL.Image.BILINEAR are accepted as well.

• expand (bool, optional) – Optional expansion flag. If true, expands the output to make it large enough to hold the entire rotated image. If false or omitted, make the output image the same size as the input image. Note that the expand flag assumes rotation around the center and no translation.

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

• fill (sequence or number) – Pixel fill value for the area outside the rotated image. Default is 0. If given a number, the value is used for all bands respectively.

Examples using RandomRotation:

Getting started with transforms v2

Getting started with transforms v2

Illustration of transforms

Illustration of transforms

forward(img)

Parameters:

img (PIL Image or Tensor) – Image to be rotated.

Returns:

Rotated image.

Return type:

PIL Image or Tensor

static get_params(degrees: List[float]) → float

Get parameters for rotate for a random rotation.

Returns:

angle parameter to be passed to rotate for random rotation.

Return type:

float