tf.keras.ops.image.pad_images

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
)

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.

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)