tf.keras.layers.experimental.preprocessing.RandomHeight

Randomly vary the height of a batch of images during training.

Inherits From: PreprocessingLayer, Layer, Module

Adjusts the height of a batch of images by a random factor. The input should be a 4-D tensor in the "channels_last" image data format.

By default, this layer is inactive during inference.

factor A positive float (fraction of original height), or a tuple of size 2 representing lower and upper bound for resizing vertically. When represented as a single float, this value is used for both the upper and lower bound. For instance, factor=(0.2, 0.3) results in an output with height changed by a random amount in the range [20%, 30%]. factor=(-0.2, 0.3) results in an output with height changed by a random amount in the range