Apply Gaussian filter to image.
tfio.experimental.filter.gaussian(
input, ksize, sigma, mode=None, constant_values=None, name=None
)
Args |
input
|
A 4-D ([N, H, W, C] ) Tensor.
|
ksize
|
A scalar or 1-D [kx, ky] Tensor.
Size of the Gaussian kernel.
If scalar, then ksize will be broadcasted to 1-D [kx, ky] .
|
sigma
|
A scalar or 1-D [sx, sy] Tensor.
Standard deviation for Gaussian kernel.
If scalar, then sigma will be broadcasted to 1-D [sx, sy] .
|
mode
|
A string . One of "CONSTANT", "REFLECT", or "SYMMETRIC"
(case-insensitive). Default "CONSTANT".
|
constant_values
|
A scalar , the pad value to use in "CONSTANT"
padding mode. Must be same type as input. Default 0.
|
name
|
A name for the operation (optional).
|
Returns |
A 4-D ([N, H, W, C] ) Tensor.
|