tf.keras.preprocessing.image.random_shear
Performs a random spatial shear of a Numpy image tensor.
tf.keras.preprocessing.image.random_shear(
x, intensity, 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. |
intensity | Transformation intensity in degrees. |
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 |
|---|
| Sheared Numpy image tensor. |