tf.keras.preprocessing.image.random_zoom
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
)
| 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. |