tf.image.pad_to_bounding_box

Pad image with zeros to the specified height and width.

tf.image.pad_to_bounding_box( image, offset_height, offset_width, target_height, target_width )

Used in the notebooks

Used in the tutorials

Adds offset_height rows of zeros on top, offset_width columns of zeros on the left, and then pads the image on the bottom and right with zeros until it has dimensions target_height, target_width.

This op does nothing if offset_* is zero and the image already has size target_height by target_width.

Usage Example:

x = [[[1., 2., 3.],  [4., 5., 6.]],  [[7., 8., 9.],  [10., 11., 12.]]] padded_image = tf.image.pad_to_bounding_box(x, 1, 1, 4, 4) padded_image <tf.Tensor: shape=(4, 4, 3), dtype=float32, numpy= array([[[ 0., 0., 0.], [ 0., 0., 0.], [ 0., 0., 0.], [ 0., 0., 0.]], [[ 0., 0., 0.], [ 1., 2., 3.], [ 4., 5., 6.], [ 0., 0., 0.]], [[ 0., 0., 0.], [ 7., 8., 9.], [10., 11., 12.], [ 0., 0., 0.]], [[ 0., 0., 0.], [ 0., 0., 0.], [ 0., 0., 0.], [ 0., 0., 0.]]], dtype=float32)>

image 4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor of shape [height, width, channels].
offset_height Number of rows of zeros to add on top.
offset_width Number of columns of zeros to add on the left.
target_height Height of output image.
target_width Width of output image.

If image was 4-D, a 4-D float Tensor of shape [batch, target_height, target_width, channels] If image was 3-D, a 3-D float Tensor of shape [target_height, target_width, channels]

ValueError If the shape of image is incompatible with the offset_* or target_* arguments, or either offset_height or offset_width is negative.