TensorFlow 1 version
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Performs a random spatial zoom of a Numpy image tensor.
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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
)
Arguments | |
|---|---|
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.
|