tf.image.random_flip_up_down
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:
import numpy as np
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. |
© 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_up_down