tf.image.random_flip_left_right
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:
import numpy as np
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]]]]
| 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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/image/random_flip_left_right