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.
View source on GitHub