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tfa.image.euclidean_dist_transform
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Applies euclidean distance transform(s) to the image(s).
tfa.image.euclidean_dist_transform(
images: tfa.types.TensorLike
,
dtype: Type[tf.dtypes.DType] = tf.float32,
name: Optional[str] = None
) -> tf.Tensor
Used in the notebooks
Based on Distance Transforms of Sampled Functions.
Args |
images
|
A tensor of shape (num_images, num_rows, num_columns, num_channels)
(NHWC), or (num_rows, num_columns, num_channels) (HWC) or
(num_rows, num_columns) (HW).
|
dtype
|
tf.dtypes.DType of the output tensor.
|
name
|
The name of the op.
|
Returns |
Image(s) with the type dtype and same shape as images , with the
transform applied. If a tensor of all ones is given as input, the
output tensor will be filled with the max value of the dtype .
|
Raises |
TypeError
|
If image is not tf.uint8, or dtype is not floating point.
|
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Last updated 2023-05-25 UTC.
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