tf.keras.layers.Cropping2D | TensorFlow v2.16.1 (original) (raw)
tf.keras.layers.Cropping2D
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Cropping layer for 2D input (e.g. picture).
Inherits From: Layer, Operation
tf.keras.layers.Cropping2D(
cropping=((0, 0), (0, 0)), data_format=None, **kwargs
)
It crops along spatial dimensions, i.e. height and width.
Example:
input_shape = (2, 28, 28, 3)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
y = keras.layers.Cropping2D(cropping=((2, 2), (4, 4)))(x)
y.shape
(2, 24, 20, 3)
| Args | |
|---|---|
| cropping | Int, or tuple of 2 ints, or tuple of 2 tuples of 2 ints. If int: the same symmetric cropping is applied to height and width. If tuple of 2 ints: interpreted as two different symmetric cropping values for height and width:(symmetric_height_crop, symmetric_width_crop). If tuple of 2 tuples 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_size, height, width, channels) while "channels_first"corresponds to inputs with shape(batch_size, channels, height, width). 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 |
|---|
| 4D tensor with shape: If data_format is "channels_last":(batch_size, height, width, channels) If data_format is "channels_first":(batch_size, channels, height, width) |
| Output shape |
|---|
| 4D tensor with shape: If data_format is "channels_last":(batch_size, cropped_height, cropped_width, channels) If data_format is "channels_first":(batch_size, channels, cropped_height, cropped_width) |
| 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
)