rotate

paddle.vision.transforms. rotate ( img, angle, interpolation='nearest', expand=False, center=None, fill=0 ) [source]

Rotates the image by angle.

Parameters

  • img (PIL.Image|np.array|paddle.Tensor) – Image to be rotated.

  • angle (float or int) – In degrees degrees counter clockwise order.

  • interpolation (str, optional) – Interpolation method. If omitted, or if the image has only one channel, it is set to PIL.Image.NEAREST or cv2.INTER_NEAREST according the backend. when use pil backend, support method are as following: - “nearest”: Image.NEAREST, - “bilinear”: Image.BILINEAR, - “bicubic”: Image.BICUBIC when use cv2 backend, support method are as following: - “nearest”: cv2.INTER_NEAREST, - “bilinear”: cv2.INTER_LINEAR, - “bicubic”: cv2.INTER_CUBIC

  • expand (bool, optional) – Optional expansion flag. If true, expands the output image 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 (2-list|2-tuple, optional) – Optional center of rotation. Origin is the upper left corner. Default is the center of the image.

  • fill (3-list|3-tuple or int, optional) – RGB pixel fill value for area outside the rotated image. If int, it is used for all channels respectively. Default value is 0.

Returns

Rotated image.

Return type

PIL.Image|np.array|paddle.Tensor

Examples

>>> import numpy as np
>>> from PIL import Image
>>> from paddle.vision.transforms import functional as F
>>> fake_img = (np.random.rand(256, 300, 3) * 255.).astype('uint8')
>>> fake_img = Image.fromarray(fake_img)
>>> rotated_img = F.rotate(fake_img, 90)
>>> print(rotated_img.size)
(300, 256)