Flip an image vertically (upside down).
tf.image.flip_up_down(
image
)
Outputs the contents of image flipped along the height dimension.
See also reverse().
Usage Example:
x = [[[1.0, 2.0, 3.0],
[4.0, 5.0, 6.0]],
[[7.0, 8.0, 9.0],
[10.0, 11.0, 12.0]]]
tf.image.flip_up_down(x)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 7., 8., 9.],
[10., 11., 12.]],
[[ 1., 2., 3.],
[ 4., 5., 6.]]], dtype=float32)>
Args |
|---|
image
|
4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor
of shape [height, width, channels].
|
Returns |
|---|
A Tensor of the same type and shape as image.
|
Raises |
|---|
ValueError
|
if the shape of image not supported.
|
TensorFlow 1 version
View source on GitHub