tf.keras.layers.Resizing

A preprocessing layer which resizes images.

Inherits From: Layer, Module

View aliases

Main aliases

tf.keras.layers.experimental.preprocessing.Resizing

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.Resizing, tf.compat.v1.keras.layers.experimental.preprocessing.Resizing

tf.keras.layers.Resizing(
    height,
    width,
    interpolation='bilinear',
    crop_to_aspect_ratio=False,
    **kwargs
)

This layer resizes an image input to a target height and width. The input should be a 4D (batched) or 3D (unbatched) tensor in "channels_last" format. Input pixel values can be of any range (e.g. [0., 1.) or [0, 255]) and of interger or floating point dtype. By default, the layer will output floats.

For an overview and full list of preprocessing layers, see the preprocessing guide.

Args
height	Integer, the height of the output shape.
width	Integer, the width of the output shape.
interpolation	String, the interpolation method. Defaults to "bilinear". Supports "bilinear", "nearest", "bicubic", "area", "lanczos3", "lanczos5", "gaussian", "mitchellcubic".
crop_to_aspect_ratio	If True, resize the images without aspect ratio distortion. When the original aspect ratio differs from the target aspect ratio, the output image will be cropped so as to return the largest possible window in the image (of size (height, width)) that matches the target aspect ratio. By default (crop_to_aspect_ratio=False), aspect ratio may not be preserved.