tf.keras.preprocessing.image.random_zoom
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Performs a random spatial zoom of a Numpy image tensor.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.preprocessing.image.random_zoom`
tf.keras.preprocessing.image.random_zoom(
x,
zoom_range,
row_axis=1,
col_axis=2,
channel_axis=0,
fill_mode='nearest',
cval=0.0,
interpolation_order=1
)
Args |
|---|
x
|
Input tensor. Must be 3D.
|
zoom_range
|
Tuple of floats; zoom range for width and height.
|
row_axis
|
Index of axis for rows in the input tensor.
|
col_axis
|
Index of axis for columns in the input tensor.
|
channel_axis
|
Index of axis for channels in the input tensor.
|
fill_mode
|
Points outside the boundaries of the input
are filled according to the given mode
(one of {'constant', 'nearest', 'reflect', 'wrap'}).
|
cval
|
Value used for points outside the boundaries
of the input if mode='constant'.
|
interpolation_order
|
int, order of spline interpolation.
see ndimage.interpolation.affine_transform
|
Returns |
|---|
|
Zoomed Numpy image tensor.
|
Raises |
|---|
ValueError
|
if zoom_range isn't a tuple.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.preprocessing.image.random_zoom\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.11.0/keras/preprocessing/image.py#L2302-L2365) |\n\nPerforms a random spatial zoom of a Numpy image 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.preprocessing.image.random_zoom\\`\n\n\u003cbr /\u003e\n\n tf.keras.preprocessing.image.random_zoom(\n x,\n zoom_range,\n row_axis=1,\n col_axis=2,\n channel_axis=0,\n fill_mode='nearest',\n cval=0.0,\n interpolation_order=1\n )\n\n| **Deprecated:** [`tf.keras.preprocessing.image.random_zoom`](../../../../tf/keras/preprocessing/image/random_zoom) does not operate on tensors and is not recommended for new code. Prefer [`tf.keras.layers.RandomZoom`](../../../../tf/keras/layers/RandomZoom) which provides equivalent functionality as a preprocessing layer. For more information, see the tutorial for [augmenting images](https://www.tensorflow.org/tutorials/images/data_augmentation), as well as the [preprocessing layer guide](https://www.tensorflow.org/guide/keras/preprocessing_layers).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------------------|------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | Input tensor. Must be 3D. |\n| `zoom_range` | Tuple of floats; zoom range for width and height. |\n| `row_axis` | Index of axis for rows in the input tensor. |\n| `col_axis` | Index of axis for columns in the input tensor. |\n| `channel_axis` | Index of axis for channels in the input tensor. |\n| `fill_mode` | Points outside the boundaries of the input are filled according to the given mode (one of `{'constant', 'nearest', 'reflect', 'wrap'}`). |\n| `cval` | Value used for points outside the boundaries of the input if `mode='constant'`. |\n| `interpolation_order` | int, order of spline interpolation. see `ndimage.interpolation.affine_transform` |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Zoomed Numpy image tensor. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|--------------------------------|\n| `ValueError` | if `zoom_range` isn't a tuple. |\n\n\u003cbr /\u003e"]]
View source on GitHub
