Pad images
with zeros to the specified height
and width
.
tf.keras.ops.image.pad_images(
images,
top_padding=None,
left_padding=None,
target_height=None,
target_width=None,
bottom_padding=None,
right_padding=None
)
Args |
images
|
4D Tensor of shape (batch, height, width, channels) or 3D
Tensor of shape (height, width, channels) .
|
top_padding
|
Number of rows of zeros to add on top.
|
bottom_padding
|
Number of rows of zeros to add at the bottom.
|
left_padding
|
Number of columns of zeros to add on the left.
|
right_padding
|
Number of columns of zeros to add on the right.
|
target_height
|
Height of output images.
|
target_width
|
Width of output images.
|
Returns |
If images were 4D, a 4D float Tensor of shape
(batch, target_height, target_width, channels)
If images were 3D, a 3D float Tensor of shape
(target_height, target_width, channels)
|
Example:
images = np.random.random((15, 25, 3))
padded_images = keras.ops.image.pad_images(
images, 2, 3, target_height=20, target_width=30
)
padded_images.shape
(20, 30, 3)
batch_images = np.random.random((2, 15, 25, 3))
padded_batch = keras.ops.image.pad_images(
batch_images, 2, 3, target_height=20, target_width=30
)
padded_batch.shape
(2, 20, 30, 3)