tf.keras.layers.Cropping3D | TensorFlow v2.16.1 (original) (raw)
tf.keras.layers.Cropping3D
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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)
| Args | |
|---|---|
| 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". |
| Input shape |
|---|
| 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) |
| Output shape |
|---|
| 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) |
| Attributes | |
|---|---|
| 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
@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
symbolic_call(
*args, **kwargs
)