tf.image.pad_to_bounding_box
tf.image.pad_to_bounding_box
tf.image.pad_to_bounding_box
pad_to_bounding_box( image, offset_height, offset_width, target_height, target_width )
Defined in tensorflow/python/ops/image_ops_impl.py
.
See the guide: Images > Cropping
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.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/image/pad_to_bounding_box