tf.keras.preprocessing.image.random_zoom
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Performs a random spatial zoom of a Numpy image tensor.
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 | |
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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 | |
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Zoomed Numpy image tensor. |
Raises | |
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ValueError |
if zoom_range isn't a tuple. |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/preprocessing/image/random_zoom