tf.image.pad_to_bounding_box(
image,
offset_height,
offset_width,
target_height,
target_width
)
Defined in tensorflow/python/ops/image_ops_impl.py
.
Pad image
with zeros to the specified height
and 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 ofimage
is incompatible with theoffset_*
ortarget_*
arguments, or eitheroffset_height
oroffset_width
is negative.