tf.image.transpose

Transpose image(s) by swapping the height and width dimension.

tf.image.transpose( image, name=None )

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.transpose(x) <tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy= array([[[ 1., 2., 3.],  [ 7., 8., 9.]],  [[ 4., 5., 6.],  [10., 11., 12.]]], dtype=float32)>

image 4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor of shape [height, width, channels].
name A name for this operation (optional).

If image was 4-D, a 4-D float Tensor of shape [batch, width, height, channels] If image was 3-D, a 3-D float Tensor of shape [width, height, channels]

ValueError if the shape of image not supported.

Usage Example:

image = [[[1, 2], [3, 4]],  [[5, 6], [7, 8]],  [[9, 10], [11, 12]]] image = tf.constant(image) tf.image.transpose(image) <tf.Tensor: shape=(2, 3, 2), dtype=int32, numpy= array([[[ 1, 2],  [ 5, 6],  [ 9, 10]],  [[ 3, 4],  [ 7, 8],  [11, 12]]], dtype=int32)>