Resizing layer

Resizing class

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

Image resizing layer.

Resize the batched image input to target height and width. The input should be a 4-D tensor in the format of NHWC.

Arguments

  • 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.