Cropping2D
classkeras.layers.Cropping2D(cropping=((0, 0), (0, 0)), data_format=None, **kwargs)
Cropping layer for 2D input (e.g. picture).
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)
Arguments
(symmetric_height_crop, symmetric_width_crop)
.((top_crop, bottom_crop), (left_crop, right_crop))
."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)