Warning: This project is deprecated. TensorFlow Addons has stopped development,
The project will only be providing minimal maintenance releases until May 2024. See the full
announcement here or on
github.
tfa.image.transform
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Applies the given transform(s) to the image(s).
tfa.image.transform(
images: tfa.types.TensorLike
,
transforms: tfa.types.TensorLike
,
interpolation: str = 'nearest',
fill_mode: str = 'constant',
output_shape: Optional[list] = None,
name: Optional[str] = None,
fill_value: tfa.types.TensorLike
= 0.0
) -> tf.Tensor
Used in the notebooks
Args |
images
|
A tensor of shape (num_images, num_rows, num_columns,
num_channels) (NHWC), (num_rows, num_columns, num_channels) (HWC), or
(num_rows, num_columns) (HW).
|
transforms
|
Projective transform matrix/matrices. A vector of length 8 or
tensor of size N x 8. If one row of transforms is
[a0, a1, a2, b0, b1, b2, c0, c1], then it maps the output point
(x, y) to a transformed input point
(x', y') = ((a0 x + a1 y + a2) / k, (b0 x + b1 y + b2) / k) ,
where k = c0 x + c1 y + 1 . The transforms are inverted compared to
the transform mapping input points to output points. Note that
gradients are not backpropagated into transformation parameters.
|
interpolation
|
Interpolation mode.
Supported values: "nearest", "bilinear".
|
fill_mode
|
Points outside the boundaries of the input are filled according
to the given mode (one of {'constant', 'reflect', 'wrap', 'nearest'} ).
- reflect:
(d c b a | a b c d | d c b a)
The input is extended by reflecting about the edge of the last pixel.
- constant:
(k k k k | a b c d | k k k k)
The input is extended by filling all values beyond the edge with the
same constant value k = 0.
- wrap:
(a b c d | a b c d | a b c d)
The input is extended by wrapping around to the opposite edge.
- nearest:
(a a a a | a b c d | d d d d)
The input is extended by the nearest pixel.
|
fill_value
|
a float represents the value to be filled outside the
boundaries when fill_mode is "constant".
|
output_shape
|
Output dimesion after the transform, [height, width].
If None, output is the same size as input image.
|
name
|
The name of the op.
|
Returns |
Image(s) with the same type and shape as images , with the given
transform(s) applied. Transformed coordinates outside of the input image
will be filled with zeros.
|
Raises |
TypeError
|
If image is an invalid type.
|
ValueError
|
If output shape is not 1-D int32 Tensor.
|
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Last updated 2023-05-25 UTC.
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