layer_resizing: Image resizing layer

In keras: R Interface to 'Keras'

Image resizing layer

Description

Image resizing layer

Usage

layer_resizing(
  object,
  height,
  width,
  interpolation = "bilinear",
  crop_to_aspect_ratio = FALSE,
  ...
)

Arguments

object	What to compose the new Layer instance with. Typically a Sequential model or a Tensor (e.g., as returned by layer_input()). The return value depends on object. If object is: missing or NULL, the Layer instance is returned. a Sequential model, the model with an additional layer is returned. a Tensor, the output tensor from layer_instance(object) is returned.
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", and "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.
...	standard layer arguments.

Details

Resize the batched image input to target height and width. The input should be a 4D (batched) or 3D (unbatched) tensor in "channels_last" format.

See Also

• https://www.tensorflow.org/api_docs/python/tf/keras/layers/Resizing

• https://keras.io/api/layers/preprocessing_layers/image_preprocessing/resizing

Other image preprocessing layers: layer_center_crop(), layer_rescaling()

Other preprocessing layers: layer_category_encoding(), layer_center_crop(), layer_discretization(), layer_hashing(), layer_integer_lookup(), layer_normalization(), layer_random_brightness(), layer_random_contrast(), layer_random_crop(), layer_random_flip(), layer_random_height(), layer_random_rotation(), layer_random_translation(), layer_random_width(), layer_random_zoom(), layer_rescaling(), layer_string_lookup(), layer_text_vectorization()

keras documentation built on May 29, 2024, 3:20 a.m.