tf.image.random

TensorFlow 1 version

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Randomly flips an image vertically (upside down).

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.image.random_flip_up_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.

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Example usage:

Args

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