tf.keras.layers.RandomFlip
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Randomly flip each image horizontally and vertically.
Inherits From: Layer, Module
tf.keras.layers.RandomFlip(
mode=HORIZONTAL_AND_VERTICAL, seed=None, **kwargs
)
This layer will flip the images based on the mode attribute.
During inference time, the output will be identical to input. Call the layer
with training=True to flip the input.
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in "channels_last" format.
Output shape:
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in "channels_last" format.
Attributes |
|---|
mode
|
String indicating which flip mode to use. Can be "horizontal",
"vertical", or "horizontal_and_vertical". Defaults to
"horizontal_and_vertical". "horizontal" is a left-right flip and
"vertical" is a top-bottom flip.
|
seed
|
Integer. Used to create a random seed.
|
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tf.keras.layers.RandomFlip\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/master/keras/layers/preprocessing/image_preprocessing.py#L371-L446) |\n\nRandomly flip each image horizontally and vertically.\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer), [`Module`](../../../tf/Module)\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.layers.experimental.preprocessing.RandomFlip`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/RandomFlip)\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.layers.RandomFlip`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/RandomFlip), [`tf.compat.v1.keras.layers.experimental.preprocessing.RandomFlip`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/RandomFlip)\n\n\u003cbr /\u003e\n\n tf.keras.layers.RandomFlip(\n mode=HORIZONTAL_AND_VERTICAL, seed=None, **kwargs\n )\n\nThis layer will flip the images based on the `mode` attribute.\nDuring inference time, the output will be identical to input. Call the layer\nwith `training=True` to flip the input.\n\n#### Input shape:\n\n3D (unbatched) or 4D (batched) tensor with shape:\n`(..., height, width, channels)`, in `\"channels_last\"` format.\n\n#### Output shape:\n\n3D (unbatched) or 4D (batched) tensor with shape:\n`(..., height, width, channels)`, in `\"channels_last\"` format.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `mode` | String indicating which flip mode to use. Can be `\"horizontal\"`, `\"vertical\"`, or `\"horizontal_and_vertical\"`. Defaults to `\"horizontal_and_vertical\"`. `\"horizontal\"` is a left-right flip and `\"vertical\"` is a top-bottom flip. |\n| `seed` | Integer. Used to create a random seed. |\n\n\u003cbr /\u003e"]]
View source on GitHub