RandomVerticalFlip¶

class paddle.vision.transforms. RandomVerticalFlip ( prob=0.5, keys=None ) [source]

Vertically flip the input data randomly with a given probability.

Parameters

• prob (float, optional) – Probability of the input data being flipped. Default: 0.5

• keys (list[str]|tuple[str], optional) – Same as BaseTransform. Default: None.

Shape:

• img(PIL.Image|np.ndarray|Paddle.Tensor): The input image with shape (H x W x C).

• output(PIL.Image|np.ndarray|Paddle.Tensor): A vertical flipped image.

Returns

A callable object of RandomVerticalFlip.

Examples

import numpy as np
from PIL import Image
from paddle.vision.transforms import RandomVerticalFlip

transform = RandomVerticalFlip()

fake_img = Image.fromarray((np.random.rand(300, 320, 3) * 255.).astype(np.uint8))

fake_img = transform(fake_img)
print(fake_img.size)