tf.image.random_flip_up_down
View source on GitHub |
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. |
© 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/r2.4/api_docs/python/tf/image/random_flip_up_down