Randomly flip each image horizontally and vertically

layer_random_flip(object, mode = "horizontal_and_vertical", seed = NULL, ...)

Arguments

object

What to call the new Layer instance with. Typically a keras Model, another Layer, or a tf.Tensor/KerasTensor. If object is missing, the Layer instance is returned, otherwise, layer(object) is returned.

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.

...

standard layer arguments.

Details

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.

Input shape: 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.

See also