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
)
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.
Args |
|---|
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.
|
Returns |
|---|
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]
|
Raises |
|---|
ValueError
|
If the shape of image is incompatible with the offset_* or
target_* arguments, or either offset_height or offset_width is
negative.
|
TensorFlow 1 version
View source on GitHub