tf.image.pad_to_bounding_box

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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.