tf.keras.layers.CenterCrop

A preprocessing layer which crops images.

Inherits From: Layer, Module

View aliases

Main aliases

tf.keras.layers.experimental.preprocessing.CenterCrop

tf.keras.layers.CenterCrop(
    height, width, **kwargs
)

This layers crops the central portion of the images to a target size. If an image is smaller than the target size, it will be resized and cropped so as to return the largest possible window in the image that matches the target aspect ratio.

Input pixel values can be of any range (e.g. [0., 1.) or [0, 255]) and of integer or floating point dtype. By default, the layer will output floats.

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

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 (..., target_height, target_width, channels).

If the input height/width is even and the target height/width is odd (or inversely), the input image is left-padded by 1 pixel.

Args
height	Integer, the height of the output shape.
width	Integer, the width of the output shape.