tf.keras.backend.resize_images
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Resizes the images contained in a 4D tensor.
tf.keras.backend.resize_images(
x, height_factor, width_factor, data_format, interpolation='nearest'
)
Arguments |
x
|
Tensor or variable to resize.
|
height_factor
|
Positive integer.
|
width_factor
|
Positive integer.
|
data_format
|
One of "channels_first" , "channels_last" .
|
interpolation
|
A string, one of nearest or bilinear .
|
Raises |
ValueError
|
in case of incorrect value for
data_format or interpolation .
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.resize_images\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/backend/resize_images) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/backend.py#L2657-L2717) |\n\nResizes the images contained in a 4D tensor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.backend.resize_images`](/api_docs/python/tf/keras/backend/resize_images), \\`tf.compat.v2.keras.backend.resize_images\\`\n\n\u003cbr /\u003e\n\n tf.keras.backend.resize_images(\n x, height_factor, width_factor, data_format, interpolation='nearest'\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----------------|-----------------------------------------------|\n| `x` | Tensor or variable to resize. |\n| `height_factor` | Positive integer. |\n| `width_factor` | Positive integer. |\n| `data_format` | One of `\"channels_first\"`, `\"channels_last\"`. |\n| `interpolation` | A string, one of `nearest` or `bilinear`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|------------------------------------------------------------------|\n| `ValueError` | in case of incorrect value for `data_format` or `interpolation`. |\n\n\u003cbr /\u003e"]]