TensorFlow 1 version
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View source on GitHub
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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:
Randomly flip a single image.
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 | |
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image
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4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor
of shape [height, width, channels].
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seed
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A Python integer. Used to create a random seed. See
tf.compat.v1.set_random_seed for behavior.
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Returns | |
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A tensor of the same type and shape as image.
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Raises | |
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ValueError
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if the shape of image not supported.
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