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
)
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. |
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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