tf.keras.layers.Cropping3D

Cropping layer for 3D data (e.g. spatial or spatio-temporal).

Inherits From: Layer, Operation

tf.keras.layers.Cropping3D(
    cropping=((1, 1), (1, 1), (1, 1)), data_format=None, **kwargs
)

Example:

input_shape = (2, 28, 28, 10, 3)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
y = keras.layers.Cropping3D(cropping=(2, 4, 2))(x)
y.shape
(2, 24, 20, 6, 3)

cropping Int, or tuple of 3 ints, or tuple of 3 tuples of 2 ints.

  • If int: the same symmetric cropping is applied to depth, height, and width.
  • If tuple of 3 ints: interpreted as three different symmetric cropping values for depth, height, and width: (symmetric_dim1_crop, symmetric_dim2_crop, symmetric_dim3_crop).
  • If tuple of 3 tuples of 2 ints: interpreted as ((left_dim1_crop, right_dim1_crop), (left_dim2_crop, right_dim2_crop), (left_dim3_crop, right_dim3_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_size, spatial_dim1, spatial_dim2, spatial_dim3, channels) while "channels_first" corresponds to inputs with shape (batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3). When unspecified, uses image_data_format value found in your Keras config file at ~/.keras/keras.json (if exists). Defaults to "channels_last".

5D tensor with shape:

  • If data_format is "channels_last": (batch_size, first_axis_to_crop, second_axis_to_crop, third_axis_to_crop, channels)
  • If data_format is "channels_first": (batch_size, channels, first_axis_to_crop, second_axis_to_crop, third_axis_to_crop)

5D tensor with shape:

  • If data_format is "channels_last": (batch_size, first_cropped_axis, second_cropped_axis, third_cropped_axis, channels)
  • If data_format is "channels_first": (batch_size, channels, first_cropped_axis, second_cropped_axis, third_cropped_axis)

input Retrieves the input tensor(s) of a symbolic operation.

Only returns the tensor(s) corresponding to the first time the operation was called.

output Retrieves the output tensor(s) of a layer.

Only returns the tensor(s) corresponding to the first time the operation was called.

Methods

from_config

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@classmethod
from_config(
    config
)

Creates a layer from its config.

This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).

Args
config A Python dictionary, typically the output of get_config.

Returns
A layer instance.

symbolic_call

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symbolic_call(
    *args, **kwargs
)