tf.keras.preprocessing.image.apply_affine_transform

Applies an affine transformation specified by the parameters given.

View aliases

Compat aliases for migration

tf.compat.v1.keras.preprocessing.image.apply_affine_transform

tf.keras.preprocessing.image.apply_affine_transform(
    x, theta=0, tx=0, ty=0, shear=0, zx=1, zy=1, row_axis=0, col_axis=1,
    channel_axis=2, fill_mode='nearest', cval=0.0, order=1
)

Arguments
`x`	2D numpy array, single image.
`theta`	Rotation angle in degrees.
`tx`	Width shift.
`ty`	Heigh shift.
`shear`	Shear angle in degrees.
`zx`	Zoom in x direction.
`zy`	Zoom in y direction
`row_axis`	Index of axis for rows in the input image.
`col_axis`	Index of axis for columns in the input image.
`channel_axis`	Index of axis for channels in the input image.
`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'`.
`order`	int, order of interpolation

Returns
The transformed version of the input.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/preprocessing/image/apply_affine_transform