Randomly flips an image vertically (upside down).
tf.image.random_flip_up_down(
image, seed=None
)
With a 1 in 2 chance, outputs the contents of image flipped along the first
dimension, which is height. Otherwise, output the image as-is.
When passing a batch of images, each image will be randomly flipped
independent of other images.
Example usage:
image = np.array([[[1], [2]], [[3], [4]]])
tf.image.random_flip_up_down(image, 3).numpy().tolist()
[[[3], [4]], [[1], [2]]]
Randomly flip multiple images.
images = np.array(
[
[[[1], [2]], [[3], [4]]],
[[[5], [6]], [[7], [8]]]
])
tf.image.random_flip_up_down(images, 4).numpy().tolist()
[[[[3], [4]], [[1], [2]]], [[[5], [6]], [[7], [8]]]]
Args |
|---|
image
|
4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor
of shape [height, width, channels].
|
seed
|
A Python integer. Used to create a random seed. See
tf.compat.v1.set_random_seed for behavior.
|
Returns |
|---|
A tensor of the same type and shape as image.
|
Raises |
|---|
ValueError
|
if the shape of image not supported.
|
TensorFlow 1 version
View source on GitHub