VerticalFlip

Targets:

image

mask

bboxes

keypoints

volume

mask3d

Image Types:uint8, float32

Flip the input vertically around the x-axis.

Arguments

p

float

0.5

Probability of applying the transform. Default: 0.5.

Examples

>>> import numpy as np
>>> import albumentations as A
>>> image = np.array([
...     [[1, 2, 3], [4, 5, 6]],
...     [[7, 8, 9], [10, 11, 12]]
... ])
>>> transform = A.VerticalFlip(p=1.0)
>>> result = transform(image=image)
>>> flipped_image = result['image']
>>> print(flipped_image)
[[[ 7  8  9]
  [10 11 12]]
 [[ 1  2  3]
  [ 4  5  6]]]
# The original image is flipped vertically, with rows reversed

Notes

This transform flips the image upside down. The top of the image becomes the bottom and vice versa.
The dimensions of the image remain unchanged.
For multi-channel images (like RGB), each channel is flipped independently.
Bounding boxes are adjusted to match their new positions in the flipped image.
Keypoints are moved to their new positions in the flipped image.