A preprocessing layer which resizes images.
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.
Arguments:
height: number, the height for the output tensor.
width: number, the width for the output tensor.
interpolation: string, the method for image resizing interpolation.
cropToAspectRatio: boolean, whether to keep image aspect ratio.
A preprocessing layer which resizes images. 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.Arguments:
height: number, the height for the output tensor.width: number, the width for the output tensor.interpolation: string, the method for image resizing interpolation.cropToAspectRatio: boolean, whether to keep image aspect ratio.Input shape: Arbitrary.
Output shape: height, width, num channels.