mindspore.dataset.vision.c_transforms.RandomRotation

class mindspore.dataset.vision.c_transforms.RandomRotation(degrees, resample=Inter.NEAREST, expand=False, center=None, fill_value=0)[source]

Rotate the input image by a random angle.

Parameters

  • degrees (Union[int, float, sequence) – Range of random rotation degrees. If degrees is a number, the range will be converted to (-degrees, degrees). If degrees is a sequence, it should be (min, max).

  • resample (Inter mode, optional) –

    An optional resampling filter (default=Inter.NEAREST). If omitted, or if the image has mode “1” or “P”, it is set to be Inter.NEAREST. It can be any of [Inter.BILINEAR, Inter.NEAREST, Inter.BICUBIC].

    • Inter.BILINEAR, means resample method is bilinear interpolation.

    • Inter.NEAREST, means resample method is nearest-neighbor interpolation.

    • Inter.BICUBIC, means resample method is bicubic interpolation.

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

  • center (tuple, optional) – Optional center of rotation (a 2-tuple) (default=None). Origin is the top left corner. None sets to the center of the image.

  • fill_value (Union[int, tuple], optional) – Optional fill color for the area outside the rotated image (default=0). If it is a 3-tuple, it is used for R, G, B channels respectively. If it is an integer, it is used for all RGB channels.

Examples

>>> import mindspore.dataset.vision.c_transforms as c_vision
>>> from mindspore.dataset.transforms.vision import Inter
>>>
>>> transforms_list = [c_vision.Decode(),
>>>                    c_vision.RandomRotation(degrees=5.0, resample=Inter.NEAREST, expand=True)]
>>> data1 = data1.map(operations=transforms_list, input_columns=["image"])