CenterCrop layer

[source]

CenterCrop class

keras.layers.CenterCrop(height,width,data_format=None,**kwargs)

A preprocessing layer which crops images.

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

Input pixel values can be of any range (e.g.[0., 1.) or[0, 255]).

Input shape

3D (unbatched) or 4D (batched) tensor with shape:(..., height, width, channels), in"channels_last" format,or(..., channels, height, width), in"channels_first" format.

Output shape

3D (unbatched) or 4D (batched) tensor with shape:(..., target_height, target_width, channels),or(..., channels, target_height, target_width),in"channels_first" format.

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

Note: This layer is safe to use inside atf.data orgrain pipeline(independently of which backend you're using).

Arguments

• height: Integer, the height of the output shape.
• width: Integer, the width of the output shape.
• data_format: string, either"channels_last" or"channels_first". The ordering of the dimensions in the inputs."channels_last" corresponds to inputs with shape(batch, height, width, channels) while"channels_first" corresponds to inputs with shape(batch, channels, height, width). It defaults to theimage_data_format value found in your Keras config file at~/.keras/keras.json. If you never set it, then it will be"channels_last".