View source on GitHub |
Randomly flip an image horizontally (left to right).
tf.image.random_flip_left_right(
image, seed=None
)
With a 1 in 2 chance, outputs the contents of image
flipped along the
second dimension, which is width
. 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_left_right(image, 5).numpy().tolist()
[[[2], [1]], [[4], [3]]]
Randomly flip multiple images.
images = np.array(
[
[[[1], [2]], [[3], [4]]],
[[[5], [6]], [[7], [8]]]
])
tf.image.random_flip_left_right(images, 6).numpy().tolist()
[[[[2], [1]], [[4], [3]]], [[[5], [6]], [[7], [8]]]]
For producing deterministic results given a seed
value, use
tf.image.stateless_random_flip_left_right
. Unlike using the seed
param
with tf.image.random_*
ops, tf.image.stateless_random_*
ops guarantee the
same results given the same seed independent of how many times the function is
called, and independent of global seed settings (e.g. tf.random.set_seed).
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.
|