tf.image.pad_to_bounding_box
View source on GitHub |
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. |
© 2020 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/versions/r1.15/api_docs/python/tf/image/pad_to_bounding_box