tfio.experimental.filter.gabor

Apply Gabor filter to image.

tfio.experimental.filter.gabor(
    input, freq, sigma=None, theta=0, nstds=3, offset=0, mode=None,
    constant_values=None, name=None
)

Args
`input`	A 4-D (`[N, H, W, C]`) Tensor.
`freq`	A float Tensor. Spatial frequency of the harmonic function. Specified in pixels.
`sigma`	A scalar or 1-D `[sx, sy]` Tensor. Standard deviation in in x- and y-directions. These directions apply to the kernel before rotation. If theta = pi/2, then the kernel is rotated 90 degrees so that sigma_x controls the vertical direction. If scalar, then `sigma` will be broadcasted to 1-D `[sx, sy]`.
`nstd`	A scalar Tensor. The linear size of the kernel is nstds standard deviations, 3 by default.
`offset`	A scalar Tensor. Phase offset of harmonic function in radians.
`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.

Args