Randomly flip an image horizontally (left to right) deterministically.
tf.image.stateless_random_flip_left_right(
image, seed
)
Guarantees 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).
Example usage:
image = np.array([[[1], [2]], [[3], [4]]])
seed = (2, 3)
tf.image.stateless_random_flip_left_right(image, seed).numpy().tolist()
[[[2], [1]], [[4], [3]]]
Args |
|---|
image
|
4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor
of shape [height, width, channels].
|
seed
|
A shape [2] Tensor, the seed to the random number generator. Must have
dtype int32 or int64. (When using XLA, only int32 is allowed.)
|
Returns |
|---|
A tensor of the same type and shape as image.
|
View source on GitHub