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)