tf.image.transpose
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Transpose image(s) by swapping the height and width dimension.
tf.image.transpose(
image, name=None
)
Args |
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).
|
Returns |
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]
|
Raises |
ValueError
|
if the shape of image not supported.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.image.transpose\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/image/transpose) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/image_ops_impl.py#L587-L614) |\n\nTranspose image(s) by swapping the height and width dimension.\n\n#### View aliases\n\n\n**Main aliases**\n\n\\`tf.image.transpose_image\\`\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.image.transpose`](/api_docs/python/tf/image/transpose), [`tf.compat.v1.image.transpose_image`](/api_docs/python/tf/image/transpose), \\`tf.compat.v2.image.transpose\\`\n\n\u003cbr /\u003e\n\n tf.image.transpose(\n image, name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|------------------------------------------------------------------------------------------------------------|\n| `image` | 4-D Tensor of shape `[batch, height, width, channels]` or 3-D Tensor of shape `[height, width, channels]`. |\n| `name` | A name for this operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| 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]` ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|----------------------------------------|\n| `ValueError` | if the shape of `image` not supported. |\n\n\u003cbr /\u003e"]]