keras: layer_cropping_2d – R documentation

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keras

layer_cropping_2d

Cropping layer for 2D input (e.g. picture).

Description

It crops along spatial dimensions, i.e. width and height.

Usage

layer_cropping_2d(
  object,
  cropping = list(c(0L, 0L), c(0L, 0L)),
  data_format = NULL,
  batch_size = NULL,
  name = NULL,
  trainable = NULL,
  weights = NULL
)

Arguments

`object`	Model or layer object
`cropping`	int, or list of 2 ints, or list of 2 lists of 2 ints. If int: the same symmetric cropping is applied to width and height. If list of 2 ints: interpreted as two different symmetric cropping values for height and width: `(symmetric_height_crop, symmetric_width_crop)`. If list of 2 lists of 2 ints: interpreted as `((top_crop, bottom_crop), (left_crop, right_crop))`
`data_format`	A string, one of `channels_last` (default) 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 the `image_data_format` value found in your Keras config file at `~/.keras/keras.json`. If you never set it, then it will be "channels_last".
`batch_size`	Fixed batch size for layer
`name`	An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided.
`trainable`	Whether the layer weights will be updated during training.
`weights`	Initial weights for layer.

Input shape

4D tensor with shape:

If data_format is "channels_last": (batch, rows, cols, channels)
If data_format is "channels_first": (batch, channels, rows, cols)

Output shape